JC登陆
Publications
Publications
2025

Conference Papers

  • Wenqiang Xu, Wenrui Dai, Duoduo Xue, Ziyang Zheng, Chenglin Li, Junni Zou, Hongkai Xiong, “Point Cloud Resampling with Learnable Heat Diffusion,” accepted by IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2025), Hyderabad, India, Apr 2025.

2024

Journal Articles

  • Shaohui Li, Shuoyu Ma, Wenrui Dai, Nuowen Kan, Fan Cheng, Chenglin Li, Junni Zou, Hongkai Xiong, “Task-Adapted Learnable Embedded Quantization for Scalable Human-Machine Image Compression,” accepted by IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2024.

  • Hao Zhang, Chenglin Li, Wenrui Dai, Junni Zou, Hongkai Xiong, “Federated Learning Based on Model Discrepancy and Variance Reduction,” accepted by IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2024. 

  • Hao Zhang, Chenglin Li, Wenrui Dai, Ziyang Zheng, Junni Zou, Hongkai Xiong, “Stabilizing and Accelerating Federated Learning on Heterogeneous Data with Partial Client Participation,” accepted by IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024.

  • Bowen Shi, Xiaopeng Zhang, Yaoming Wang, Wenrui Dai, Junni Zou, Hongkai Xiong, “MENSA: Multi-dataset Harmonized Pretraining for Semantic Segmentation,” accepted by IEEE Transactions on Multimedia (TMM), 2024.

  • Wen Fei, Wenrui Dai, Chenglin Li, Junni Zou, Hongkai Xiong, “On Centralization and Unitization of Batch Normalization for Deep ReLU Neural Networks,” accepted by IEEE Transactions on Signal Processing (TSP), 2024.
  • Qin Yang, Wenxuan Gao, Chenglin Li, Hao Wang, Wenrui Dai, Junni Zou, Hongkai Xiong, Pascal Frossard, “360Spred: Saliency Prediction for 360-Degree Videos Based on 3D Separable Graph Convolutional Networks,” accepted by IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2024.
  • Yuchen Liu, Yabo Chen, Wenrui Dai, Mengran Gou, Chun-Ting Huan, Hongkai Xiong, “Source-Free Domain Adaptation with Domain Generalized Pretraining for Face Anti-Spoofing,” accepted by IEEE/ACM Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2024.

Conference Papers

  • Guanghao Zheng, Yuchen Liu, Wenrui Dai, Chenglin Li, Junni Zou, Hongkai Xiong, “MC-DiT: Contextual Enhancement via Clean-to-Clean Reconstruction for Masked Diffusion Models,” accepted by Thirty-eighth Annual Conference on Neural Information Processing Systems (NeurIPS 2024), Vancouver, Canada, Dec. 2024.

  • Hao Zhang, Chenglin Li, Nuowen Kan, Ziyang Zheng, Wenrui Dai, Junni Zou, Hongkai Xiong, “Improving Generalization in Federated Learning with Model-Data Mutual Information Regularization: A Posterior Inference Approach,” accepted by Thirty-eighth Annual Conference on Neural Information Processing Systems (NeurIPS 2024), Vancouver, Canada, Dec. 2024.

  • Wenqiang Xu, Wenrui Dai, Ziyang Zheng, Chenglin Li, Junni Zou, Hongkai Xiong, “Point Cloud Upsampling With Geometric Algebra Driven Inverse Heat Dissipation,” accepted by ACM International Conference on Multimedia (ACM MM 2024), Melbourne, Australia, Oct. 2024. (Oral)

  • Sa Yan, Nuowen Kan, Chenglin Li, Wenrui Dai, Junni Zou, Hongkai Xiong, “Task-Oriented Multi-Bitstream Optimization for Image Compression and Transmission via Optimal Transport,” accepted by ACM International Conference on Multimedia (ACM MM 2024), Melbourne, Australia, Oct. 2024.

  • Li Wei, Yuankun Jiang, Chenglin Li, Wenrui Dai, Junni Zou, Hongkai Xiong, “Adversarially Robust Neural Lyapunov Control,” accepted by 27th European Conference on Artificial Intelligence (ECAI 2024), Santiago de Compostela, Spain, Oct. 2024.

  • Yuyang Huang, Yabo Chen, Yuchen Liu, Xiaopeng Zhang, Wenrui Dai, Hongkai Xiong, Qi Tian, “DomainFusion: Generalizing To Unseen Domains with Latent Diffusion Models,” accepted by European Conference on Computer Vision (ECCV 2024), MiCo Milano, Italy, Oct. 2024.

  • Jiahao Tian, Ziyang Zheng, Xinyu Peng, Yong Li, Wenrui Dai, Hongkai Xiong, “DCCM: Dual Data Consistency Guided Consistency Model for Inverse Problems,” accepted by IEEE International Conference on Image Processing (ICIP 2024), Abu Dhabi, United Arab Emirates, Oct. 2024.

  • Yabo Chen, J. Fang, Yuyang Huang, T. Yi, Xiaopeng Zhang, L. Xie, X. Wang, Wenrui Dai, Hongkai Xiong, Qi Tian, “Cascade-Zero123: One Image to Highly Consistent 3D with Self-Prompted Nearby Views,” accepted by European Conference on Computer Vision (ECCV 2024), MiCo Milano, Italy, Oct. 2024.

  • Bowen Shi, P. Zhao, Z. Wang, Y. Zhang, Yaoming Wang, Jin Li, Wenrui Dai, Junni Zou, Hongkai Xiong, Qi Tian, Xiaopeng Zhang, “UMG-CLIP: A Unified Multi-Granularity Vision Generalist for Open-World Understanding,” accepted by European Conference on Computer Vision (ECCV 2024), MiCo Milano, Italy, Oct. 2024.

  • Shuangrui Ding, R. Qian, Haohang Xu, Dahua Lin, Hongkai Xiong, “Betrayed by Attention: A Simple yet Effective Approach for Self-supervised Video Object Segmentation,” accepted by European Conference on Computer Vision (ECCV 2024), MiCo Milano, Italy, Oct. 2024.

  • Guanghao Zheng, Yuchen Liu, Wenrui Dai, Chenglin Li, Junni Zou, Hongkai Xiong, “Towards Unified Representation of Invariant-Specific Features in Missing Modality Face Anti-Spoofing,” accepted by European Conference on Computer Vision (ECCV 2024), MiCo Milano, Italy, Oct. 2024.

  • Han Li, Shaohui Li, Shuangrui Ding, Wenrui Dai, Maida Cao, Chenglin Li, Junni Zou, Hongkai Xiong, “Image Compression for Machine and Human Vision With Spatial-Frequency Adaptation,” accepted by European Conference on Computer Vision (ECCV 2024), MiCo Milano, Italy, Oct. 2024.

  • Xinyu Peng, Ziyang Zheng, Wenrui Dai, Nuoqian Xiao, Chenglin Li, Junni Zou, Hongkai Xiong, “Improving Diffusion Models for Inverse Problems Using Optimal Posterior Covariance,” accepted by International Conference on Machine Learning (ICML 2024) , Vienna, Austria, July. 2024.

  • Li Ding, Wen Fei, Yuyang Huang, Shuangrui Ding, Wenrui Dai, Chenglin Li, Junni Zou, Hongkai Xiong, “AMPA: Adaptive Mixed Precision Allocation For Low-Bit Integer Training,” accepted by International Conference on Machine Learning (ICML 2024) , Vienna, Austria, July. 2024.

  • Yaoming Wang, Jin Li, Wenrui Dai, Bowen Shi, Xiaopeng Zhang, Chenglin Li, Hongkai Xiong, “Bootstrap AutoEncoders With Contrastive Paradigm for Self-supervised Gaze Estimation,” accepted by International Conference on Machine Learning (ICML 2024) , Vienna, Austria, July. 2024.

  • Han Li, Shaohui Li, Wenrui Dai, Chenglin Li, Junni Zou, Hongkai Xiong, “Frequency-Aware Transformer for Learned Image Compression,” accepted by International Conference on Learning Representations (ICLR 2024), Vienna, Austria, May 2024.

  • Bowen Shi, Xiaopeng Zhang, Yaoming Wang, Jin Li, Wenrui Dai, Junni Zou, Hongkai Xiong, Qi Tian, “Hybrid Distillation: Connecting Masked Autoencoders with Contrastive Learners,” accepted by International Conference on Learning Representations (ICLR 2024), Vienna, Austria, May 2024.

  • Yaoming Wang, Jin Li, Xiaopeng Zhang, Bowen Shi, Chenglin Li, Wenrui Dai, Hongkai Xiong, Qi Tian, “BarLeRIa: An Efficient Tuning Framework for Referring Image Segmentation,” accepted by International Conference on Learning Representations (ICLR 2024), Vienna, Austria, May 2024. (Spotlight)

  • Maida Cao, Wenrui Dai, Shaohui Li, Han Li, Chenglin Li, Junni Zou, Hongkai Xiong, “Entropy Relaxed Lattice Vector Quantization for Learned Image Compression,” accepted by IEEE Data Compression Conference (DCC 2024), Snowbird, Utah, USA, Mar. 19-22, 2024.

  • Wen Fei, Li Ding, Y. Pan, Wenrui Dai, Chenglin Li, Junni Zou, Hongkai Xiong, “Initialization Seeds Facilitating Neural Network Quantization,” accepted by IEEE Data Compression Conference (DCC 2024), Snowbird, Utah, USA, Mar. 19-22, 2024.
2023

Journal Articles

  • Kexin Tang, Nuowen Kan, Yuankun, Jiang, Chenglin Li, Wenrui Dai, Junni Zou, Hongkai Xiong, “Successor Feature-Based Transfer Reinforcement Learning for Video Rate Adaptation with Heterogeneous QoE Preferences,” accepted by IEEE Transactions on Multimedia (TMM), 2023.
  • Yuankun Jiang, Chenglin Li, Wenrui Dai, Junni Zou, Hongkai Xiong, “Variance Reduced Domain Randomization for Reinforcement Learning with Policy Gradient,” accepted by IEEE/ACM Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 46, no. 2, pp. 1031-1048, Feb. 2024.
  • Xin Li, Wenrui Dai, Shaohui Li, Chenglin Li, Junni Zou, Hongkai Xiong, “3-D Point Cloud Attribute Compression with p-Laplacian Embedding Graph Dictionary Learning,” accepted by IEEE/ACM Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 46, no. 2, pp. 975-993, Feb. 2024.
  • Ziyang Zheng, Zhengyang Duan, Hang Chen, Rui Yang, Sheng Gao, Haiou Zhang, Hongkai Xiong, Xing Lin, “Dual adaptive training of photonic neural networks,” accepted by Nature Machine Intelligence, 2023.
  • Qin Yang, Yuqi Li, Chenglin Li, Hao Wang, Sa Yan, Li Wei, Wenrui Dai, Junni Zou, Hongkai Xiong, Pascal Frossard, “SVGC-AVA: 360-Degree Video Saliency Prediction with Spherical Vector-Based Graph Convolution and Audio-Visual Attention,” accepted by IEEE Transactions on Multimedia (TMM), 2023.
  • Yuehan Xiong, Wenrui Dai, Wen Fei, Shaohui Li, Hongkai Xiong, “Anisotropic Spherical Scattering Networks via Directional Spin Wavelet,” accepted by IEEE Transactions on Signal Processing (TSP), vol. 71, pp. 2981-2996, 2023.
  • Shaohui Li, Wenrui Dai, Yimian Fang, Ziyang Zheng, Wen Fei, Hongkai Xiong, Wei Zhang, “Revisiting Learned Image Compression With Statistical Measurement of Latent Representations,” accepted by IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2023.
  • Weiyao Lin, Huabin Liu, Shizhan Liu, Yuxi Li, Hongkai Xiong, Guojun Qi, Nicu Sebe, “HiEve: A Large-Scale Benchmark for Human-Centric Video Analysis in Complex Events,” accepted by International Journal of Computer Vision (IJCV), 131, 2994-3018 (2023).
  • Jing Jin, Mantang Guo, Hui Liu, Junhui Hou, Hongkai Xiong, “Light Field Reconstruction via Deep Adaptive Fusion of Hybrid Lenses,” accepted by IEEE/ACM Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 45, no. 10, pp. 12050-12067, Oct. 2023.
  • Qi Wang, Ying Cui, Chenglin Li, Junni Zou, Honkgai Xiong, “Optimization-based Block Coordinate Gradient Coding for Mitigating Partial Stragglers in Distributed Learning,” accepted by IEEE Transactions on Signal Processing (TSP), vol. 71, pp. 1023-1038, 2023.
  • Rui Yang, Wenrui Dai, Chenglin Li, Junni Zou, Hongkai Xiong, “Tackling Over-smoothing in Graph Convolutional Networks with EM-based Joint Topology Optimization and Node Classification,” accepted by IEEE Transactions on Signal and Information Processing over Networks (TSIPN), vol. 9, pp. 123-139, 2023.
  • Yuhui Xu, Lingxi Xie, Cihang Xie, Wenrui Dai, Jieru Mei, Siyuan Qiao, Wei Shen, Hongkai Xiong, Alan Yuille, “BNET: Batch Normalization with Enhanced Linear Transformation,” accepted by IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 45, no. 7, pp. 9225-9232, 1 July 2023.

Conference Papers

  • Rui Yang, Wenrui Dai, Chenglin Li, Junni Zou, Dapeng Wu, Hongkai Xiong, “scBiGNN: Bilevel Graph Representation Learning for Cell Type Classification from Single-cell RNA Sequencing Data,” accepted by  NeurIPS 2023 Workshop on AI for Science, New Orleans, USA, Dec. 2023.
  • Rui Yang, Wenrui Dai, Huajun She, Yiping P. Du, Dapeng Wu, Hongkai Xiong, “Spatial-Temporal DAG Convolutional Networks for End-to-End Joint Effective Connectivity Learning and Resting-State fMRI Classification,” accepted by  NeurIPS 2023 Workshop on Temporal Graph Learning, New Orleans, USA, Dec. 2023.
  • Li Ding, Mingxing Xu, Wenrui Dai, C. Lu, W. Hu, L. Zhang, J. Du, Hongkai Xiong, “Robust Point Cloud Classification with Permutohedral Lattice-based Representation,” accepted by  IEEE International Conference on Visual Communications and Image Processing (VCIP’2023), Jeju, Korea, Dec. 2023.
  • Wenxin Tian, Shaohui Li, Wenrui Dai, C. Lu, W. Hu, L. Zhang, J. Du, Hongkai Xiong, “Learned Progressive Image Compression With Spatial Autoregression,” accepted by  IEEE International Conference on Visual Communications and Image Processing (VCIP’2023), Jeju, Korea, Dec. 2023.
  • Jin Li, Yaoming Wang, Xiaopeng Zhang, Bowen Shi, Dongsheng Jiang, Chenglin Li, Wenrui Dai, Hongkai Xiong, Qi Tian, “AiluRus: A Scalable ViT Framework for Dense Prediction,” accepted by Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS 2023), New Orleans, USA, Dec. 2023.
  • Yuankun Jiang, Nuowen Kan, Chenglin Li, Wenrui Dai, Junni Zou, Hongkai Xiong, “Doubly Robust Augmented Transfer for Meta-Reinforcement Learning,” accepted by Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS 2023), New Orleans, USA, Dec. 2023.
  • Yaoming Wang, Yuchen Liu, Xiaopeng Zhang, Jin Li, Bowen Shi, Chenglin Li, Wenrui Dai, Hongkai Xiong, Qi Tian, “VioLET: Vision-Language Efficient Tuning with Collaborative Multi-modal Gradients,” accepted by ACM International Conference on Multimedia (ACM MM 2023), Ottawa, Canada, Oct. 2023.
  • Yuchen Liu, Yabo Chen, Mengran Gou, Chun-Ting Huang, Yaoming Wang, Wenrui Dai, Hongkai Xiong, “Towards Unsupervised Domain Generalization for Face Anti-Spoofing,” accepted by International Conference on Computer Vision 2023 (ICCV 2023), Paris, France, Oct. 2023.
  • Shuangrui Ding, Peisen Zhao, XiaoPeng Zhang, Rui Qian,, Hongkai Xiong, Qi Tian, “Prune Spatio-temporal Tokens by Semantic-aware Temporal Accumulation,” accepted by International Conference on Computer Vision 2023 (ICCV 2023), Paris, France, Oct. 2023.
  • Shiyu Liu, Wenrui Dai, Chenglin Li, Junni Zou, Hongkai Xiong, “Point Cloud Updampling with Dynamic Graph Scattering Transform,” accepted by IEEE International Conference on Image Processing (ICIP 2023), Kuala Lumpur, Malaysia, Oct. 2023.
  • Zhuoqun Liu, M. Jin, Y. Chen, H. Liu, C. Yang, Hongkai Xiong, “Lightweight Network Towards Real-time Image Denoising on Mobile Devices,” accepted by IEEE International Conference on Image Processing (ICIP 2023), Kuala Lumpur, Malaysia, Oct. 2023.
  • Hao Zhang, Chenglin Li, Wenrui Dai, Junni Zou, Hongkai Xiong, “FedCR: Personalized Federated Learning Based on Across-Client Common Representation with Conditional Mutual Information Regularization,” accepted by International Conference on Machine Learning (ICML 2023) , July 2023.
  • Hongwei Zheng, Han Li, Bowen Shi, Wenrui Dai, Botao Wang, Yu Sun, Min Guo, Hongkai Xiong, “ActionPrompt: Action-Guided 3D Human Pose Estimation with Text and Pose Prompting,” accepted by IEEE International Conference on Multimedia and Expo (ICME 2023), Brisbane, Australia, July 2023.
  • Yuchen Liu, Yaoming Wang, Yabo Chen, Wenrui Dai, Chenglin Li, Junni Zou, Hongkai Xiong, “Promoting Semantic Connectivity: Dual Nearest Neighbors Contrastive Learning for Unsupervised Domain Generalization,” accepted by IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2023), Vancouver, Canada, June 2023.
  • Yaoming Wang, Bowen Shi, Xiaopeng Zhang, Jin Li, Yuchen Liu, Wenrui Dai, Chenglin Li, Hongkai Xiong, Qi Tian, “Adapting Shortcut with Normalizing Flow: An Efficient Tuning Framework for Visual Recognition,” accepted by IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2023), Vancouver, Canada, June 2023.
  • Guanghao Zheng, Yuchen Liu, Wenrui Dai, Chenglin Li, Junni Zou, Hongkai Xiong, “Learning Causal Representations for Generalizable Face Anti Spoofing,” accepted by IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2023), Rhodes Island, Greece, June 2023.
  • Yuqi Li, Qin Yang, Wenrui Dai, Chenglin Li, Junni Zou, Hongkai Xiong, “Rotation-Invariant Point Cloud Segmentation With Kernel Principal Component Analysis and Geometry-Based Weighted Convolution,” accepted by IEEE International Symposium on Circuits and Systems (ISCAS 2023), Monterey, California, USA, May 21-25, 2023.
  • Jin Li, Yaoming Wang, Xiaopeng Zhang, Yabo Chen, Dongsheng Jiang, Wenrui Dai, Chenglin Li, Hongkai Xiong, Qi Tian, “Progressive Compressed Auto-Encoder for Self-supervised Representation Learning,” accepted by International Conference on Learning Representations (ICLR 2023), Kigali Rwanda, May 2023.
  • Xuanda Wang, Wen Fei, Wenrui Dai, Chenglin Li, Junni Zou, Hongkai Xiong, “Mixed-precision Deep Neural Network Quantization With Multiple Compression Rates,” accepted by IEEE Data Compression Conference (DCC 2023), Snowbird, Utah, USA, Mar. 21-24, 2023.
  • Yimian Fang, Wen Fei, Shaohui Li, Wenrui Dai, Chenglin Li, Junni Zou, Hongkai Xiong, “Fully Integerized End-to-End Learned Image Compression,” accepted by IEEE Data Compression Conference (DCC 2023), Snowbird, Utah, USA, Mar. 21-24, 2023.
  • Han Li, Bowen Shi, Wenrui Dai, Hongwei Zheng, Botao Wang, Yu Sun, Min Guo, Chenglin Li, Junni Zou, Hongkai Xiong, “Pose-Oriented Transformer with Uncertainty-Guided Refinement for 2D-to-3D Human Pose Estimation,” accepted by Association for the Advancement of Artificial Intelligence Conference on Artificial Intelligence (AAAI 2023), Washington, USA, Feb. 2023.
2022

Journal Articles

  • Shaohui Li, Han Li, Wenrui Dai, Chenglin Li, Junni Zou, Hongkai Xiong, “Learned Progressive Image Compression with Dead-Zone Quantizers,” accepted by IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), vol. 33, no. 6, pp. 2962-2978, June 2023.
  • Maida Cao, Wenrui Dai, Shaohui Li, Chenglin Li, Junni Zou, Ying Chen, Hongkai Xiong, “End-to-End Optimized Image Compression with Deep Gaussian Process Regression,” accepted by IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2022.
  • Duoduo Xue, Ziyang Zheng, Wenrui Dai, Chenglin Li, Junni Zou, Honkgai Xiong, “On the Convergence of Non-Convex Phase Retrieval with Denoising Priors,” accepted by IEEE Transactions on Signal Processing (TSP), vol. 70, pp. 4424-4439, Aug. 2022.
  • Rui Yang, Wenrui Dai, Chenglin Li, Junni Zou, Hongkai Xiong, “NCGNN: Node-level Capsule Graph Neural Network for Semi-supervised Classification,” accepted by IEEE Transactions on Neural Networks and Learning Systems (TNNLS), vol. 35, no. 1, pp. 1025-1039, Jan. 2024.
  • Haohang Xu, Xiaopeng Zhang, Hao Li, Lingxi Xie, Wenrui Dai, Hongkai Xiong, Qi Tian, “Seed the Views: Hierarchical Semantic Alignment for Contrastive Representation Learning,” accepted by IEEE/ACM Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 45, no. 3, pp. 3753-3767, 1 March 2023.
  • Tao Yan*, Rui Yang*, Ziyang Zheng, Xing Lin, Hongkai Xiong, Qionghai Dai, “All-optical graph representation learning using integrated diffractive photonic computing units,” accepted by Science Advances, vol. 8, no. 24, pp. eabn7630, 2022. ( * These authors contributed equally)
  • Ziyang Zheng, Wenrui Dai, Duoduo Xue, Chenglin Li, Junni Zou, Hongkai Xiong, “Hybrid ISTA: Unfolding ISTA With Convergence Guarantees Using Free-Form Deep Neural Networks,” accepted by IEEE/ACM Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 45, no. 3, pp. 3226-3244, 1 March 2023.
  • Yuchen Zhang, Wenrui Dai, Yong Li, Chenglin Li, Junhui Hou, Junni Zou, Hongkai Xiong, “Light Field Compression with Graph Learning and Dictionary-Guided Sparse Coding,” accepted by IEEE Transactions on Multimedia, vol. 25, pp. 3059-3072, 2023.
  • Mingxing Xu, Junxiang Chen, Jin Li, Xinxin Zhi, Wenrui Dai, Jiayuan Sun, Hongkai Xiong, “Automatic Representative Frame Selection and Intrathoracic Lymph Node Diagnosis with Endobronchial Ultrasound Elastography Videos,” accepted by IEEE Journal of Biomedical and Health Informatics, vol. 27, no. 1, pp. 29-40, Jan. 2023.
  • Lisha Wang, Chenglin Li, Wenrui Dai, Shaohui Li, Junni Zou, Hongkai Xiong, “QoE-Driven Adaptive Streaming for Point Clouds,” accepted by IEEE Transactions on Multimedia, vol. 25, pp.2543-2558, 2023.

Conference Papers

  • Zhuoqun Liu, Yuankun Jiang, Chenglin Li, Wenrui Dai, Junni Zou, Hongkai Xiong, “Adaptive Task Sampling and Variance Reduction for Gradient-Based Meta-Learning,” accepted by The British Machine Vision Conference (BMVC 2022), London, UK, Nov. 2022.
  • Xiaoxuan Fan, Wen Fei, Wenrui Dai, Chenglin Li, Junni Zou, Hongkai Xiong, “Tensor Network-based Entropy Coding for Learned Image Compression,” accepted by The Picture Coding Symposium (PCS 2022), San Jose, California, USA, Dec. 2022.
  • Wenxuan Gao, Chenglin Li, Haoran Lv, Wenrui Dai, Junni Zou, Hongkai Xiong, X. Pan, H. Wang, “Optimal Tile-based Encoding for 360-Degree Video Streaming,” accepted by The Picture Coding Symposium (PCS 2022), San Jose, California, USA, Dec. 2022.
  • Yuchen Liu, Yabo Chen, Wenrui Dai, M. Gou, C. Huang, Hongkai Xiong, “Source-Free Domain Adaptation with Contrastive Domain Alignment and Self-supervised Exploration for Face Anti-Spoofing,” accepted by European Conference on Computer Vision (ECCV 2022), Tel-Aviv, Isreal, Oct. 2022.
  • Yabo Chen, Yuchen Liu, D. Jiang, Xiaopeng Zhang, Wenrui Dai, Hongkai Xiong, Q. Tian, “SdAE: Self-distillated Masked Autoencoder,” accepted by European Conference on Computer Vision (ECCV 2022), Tel-Aviv, Isreal, Oct. 2022.
  • Bowen Shi, D. Jiang, Xiaopeng Zhang, Han Li, Wenrui Dai, Junni Zou, Hongkai Xiong, Q. Tian,“A Transformer-based Decoder for Semantic Segmentation with Multi-level Context Mining,” accepted by European Conference on Computer Vision (ECCV 2022), Tel-Aviv, Isreal, Oct. 2022.
  • Nuowen Kan, Yuankun Jiang, Chenglin Li, Wenrui Dai, Junni Zou, Hongkai Xiong, “Improving Generalization for Neural Adaptive Video Streaming via Meta Reinforcement Learning,” ACM International Conference on Multimedia (ACMMM 2022), Lisbon, Portugal, Oct. 2022.
  • Shuangrui Ding, Rui Qian, Hongkai Xiong, “Dual Contrastive Learning for Spatio-temporal Representation,” ACM International Conference on Multimedia (ACMMM 2022), Lisbon, Portugal, Oct. 2022.
  • Jiayi Xu, Qin Yang, Chenglin Li, Junni Zou, Hongkai Xiong, X. Pan, H. Wang, “Rotation-Equivariant Graph Convolutional Networks For Spherical Data via Global-Local Attention,” IEEE International Conference on Image Processing (ICIP 2022), Bordeaux, France, Oct. 2022.
  • Yuchen Liu, Yabo Chen, Wenrui Dai, Chenglin Li, Junni Zou, Hongkai Xiong, “Causal Intervention for Generalizable Face Anti-Spoofing,” accepted by IEEE International Conference on Multimedia and Expo (ICME 2022), Taipei, Taiwan, China, July 2022.
  • Yaoming Wang, Yangzhou Jiang, Jin Li, Bingbing Ni, Wenrui Dai, Chenglin Li, Hongkai Xiong, Teng Li, “Contrastive Regression for Domain Adaptation on Gaze Estimation,” accepted by IEEE Int'l Conf. Computer Vision and Pattern Recognition (CVPR 2022), New Orleans, Louisiana, USA, June 2022.
  • Shuangrui Ding, Maomao Li, Tianyu Yang, Rui Qian, Haohang Xu, Qingyi Chen, Jue Wang, Hongkai Xiong, “Motion-aware Contrastive Video Representation Learning via Foreground-background Merging,” accepted by IEEE Int'l Conf. Computer Vision and Pattern Recognition (CVPR 2022), New Orleans, Louisiana, USA, June 2022.
  • Haohang Xu, Jiemin Fang, Xiaopeng Zhang, Lingxi Xie, Xinggang Wang, Wenrui Dai, Hongkai Xiong, Qi Tian, “Bag of Instances Aggregation Boosts Self-supervised Distillation,” International Conference on Learning Representations (ICLR 2022), April 2022.
  • Liewen Liao, Yaoming Wang, Hao Li, Wenrui Dai, Chenglin Li, Junni Zou, and Hongkai Xiong, “Efficient Search for Efficient Architecture,” IEEE International Symposium on Circuits & Systems (ISCAS 2022), Austin, TX, USA, May 2022.
  • Liming Guo, Wen Fei, Wenrui Dai, Chenglin Li, Junni Zou, and Hongkai Xiong, "Mixed-Precision Quantization of U-Net for Medical Image Segmentation,” IEEE International Symposium on Circuits & Systems (ISCAS 2022), Austin, TX, USA, May 2022.
  • Rulin Huang, Shaohui Li, Wenrui Dai, Chenglin Li, Junni Zou, and Hongkai Xiong, "Improving Optical Flow Inference for Video Colorization,” IEEE International Symposium on Circuits & Systems (ISCAS 2022), Austin, TX, USA, May 2022.
  • Maida Cao, Wenrui Dai, Shaohui Li, Chenglin Li, Junni Zou, Ying Chen, Hongkai Xiong, “Entropy Modeling via Gaussian Process Regression for Learned Image Compression,” IEEE Data Compression Conference (DCC’2022), Snowbird, Utah, USA, Mar. 22-25, 2022. (Oral Paper)
  • Xin Li, Wenrui Dai, Shaohui Li, Chenglin Li, Junni Zou, Hongkai Xiong, “Graph Dictionary Learning for 3-D Point Cloud Compression,” IEEE Data Compression Conference (DCC’2022), Snowbird, Utah, USA, Mar. 22-25, 2022.
  • Liewen Liao, Shaohui Li, Jixiang Luo, Wenrui Dai, Chenglin Li, Junni Zou, Hongkai Xiong, “Efficient Decoder for Learned Image Compression viaStructured Pruning,” IEEE Data Compression Conference (DCC’2022), Snowbird, Utah, USA, Mar. 22-25, 2022.
  • Rulin Huang, Shaohui Li, Wenrui Dai, Jixiang Luo, Chenglin Li, Junni Zou, Hongkai Xiong, “Video Compression via Inter-frame Chroma Prediction,” IEEE Data Compression Conference (DCC’2022), Snowbird, Utah, USA, Mar. 22-25, 2022.
2021

Journal Articles

  • Mingxing Xu, Wenrui Dai, Chenglin Li, Junni Zou, Hongkai Xiong, Pascal Frossard, “Graph Neural Networks With Lifting-based Adaptive Graph Wavelets,” accepted by IEEE Transactions on Signal and Information Processing over Networks (TSIPN), vol. 8, pp. 63-77, 2022.
  • Yangmei Shen, Wenrui Dai, Chenglin Li, Junni Zou, Hongkai Xiong, “Multi-Scale Graph Convolutional Network With Spectral Graph Wavelet Frame,” accepted by IEEE Transactions on Signal and Information Processing over Networks (TSIPN), vol. 7, pp. 595-610, Sep. 2021.
  • Haohang Xu, Hongkai Xiong, Guo-Jun Qi, “K-Shot Contrastive Learning of Visual Features with Multiple Instance Augmentations,” accepted by IEEE/ACM Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 44, no. 11, pp. 8694-8700, Nov. 2022.
  • Shaohui Li, Wenrui Dai, Chenglin Li, Junni Zou, Hongkai Xiong, “Reversible Autoencoder: A CNN-based Nonlinear Lifting Scheme for Image Reconstruction,” accepted by IEEE Transactions on Signal Processing (TSP), vol. 69, pp. 3117-3131, 2021.
  • Nuowen Kan, Junni Zou, Chenglin Li, Wenrui Dai, Hongkai Xiong, “RAPT360: Reinforcement Learning-Based Rate Adaptation for 360° Video Streaming with Adaptive Prediction and Tiling,” accepted by IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), vol. 32, no. 3, pp. 1607-1623, Mar. 2022.
  • Wen Fei, Wenrui Dai, Chenglin Li, Junni Zou, Hongkai Xiong, “General Bitwidth Assignment for Efficient Deep Convolutional Neural Network Quantization,” accepted by IEEE Transactions on Neural Networks and Learning Systems (TNNLS), vol. 33, no. 10, pp. 5253-5267, Apr. 2021.
  • Xing Gao, Wenrui Dai, Chenglin Li, Hongkai Xiong, Pascal Frossard, “iPool - Information-based Pooling in Hierarchical Graph Neural Networks,” accepted by IEEE Transactions on Neural Networks and Learning Systems (TNNLS), vol. 33, no. 9, pp. 5032-5044, Sep. 2022.
  • Yuhui Xu, Lingxi Xie, Wenrui Dai, Xiaopeng Zhang, Xin Chen, Guo-Jun Qi, Hongkai Xiong, Qi Tian, “Partially-Connected Neural Architecture Search for Reduced Computational Redundancy,” accepted by IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 43, no. 9, pp. 2953-2970, Sep. 2021.

Conference Papers

  • Han Li, Bowen Shi, Wenrui Dai, Yabo Chen, Botao Wang, Yu Sun, Min Guo, Chenglin Li, Junni Zou, Hongkai Xiong, “Hierarchical Graph Networks for 3D Human Pose Estimation,” accepted by The British Machine Vision Conference (BMVC 2021), Online, Nov. 2021.
  • Hao Li, Xiaopeng Zhang, Hongkai Xiong, “Center-wise Local Image Mixture For Contrastive Representation Learning,” accepted by The British Machine Vision Conference (BMVC 2021), Online, Nov. 2021.
  • Zerui Yang, Wen Fei, Wenrui Dai, Chenglin Li, Junni Zou, Hongkai Xiong, “Mixed-precision Quantization with Dynamical Hessian Matrix for Object Detection Network,” Visual Communications and Image Processing (VCIP 2021), Munich, Germany, Dec. 2021.
  • Qi Wang, Ying Cui, Chenglin Li, Junni Zou, Hongkai Xiong, “Optimization-based Block Coordinate Gradient Coding,” IEEE Global Communications Conference (GLOBECOM’2021), Madrid, Spain, Dec. 2021.
  • Yaoming Wang, Yuchen Liu, Wenrui Dai, Chenglin Li, Junni Zou, Hongkai Xiong, “Learning Latent Architectural Distribution in Differentiable Neural Architecture Search via Variational Information Maximization,” the 2021 IEEE/CVF International Conference on Computer Vision (ICCV 2021), Virtual, Oct. 2021.
  • Liang Yuan, Jixiang Luo, Shaohui Li, Wenrui Dai, Chenglin Li, Junni Zou, Hongkai Xiong, “Learned Image Compression with Channel-Wise Grouped Context Modeling,” accepted by IEEE International Conference on Image Processing (ICIP 2021), Anchorage, Alaska, USA, Sept. 2021.
  • Yuankun Jiang, Chenglin Li, Wenrui Dai, Junni Zou, Hongkai Xiong, “Monotonic Robust Policy Optimization with Model Discrepancy,” accepted by International Conference on Machine Learning (ICML 2021), July 2021.
  • Nuowen Kan, Chenglin Li, Caiyi Yang, Wenrui Dai, Junni Zou, Hongkai Xiong, “Uncertainty-Aware Robust Adaptive Video Streaming with Bayesian Neural Network and Model Predictive Control,” ACM Workshop on Network and Operating Systems Support for Digital Audio and Video (NOSSDAV 2021), Istanbul, Turkey, Sept. 2021.
  • Lisha Wang, Chenglin Li, Wenrui Dai, Junni Zou, Hongkai Xiong, “QOE-Driven and Tile-Based Adaptive Streaming for Point Clouds,” accepted by IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP’2021), Toronto, Canada, June 2021.
  • Jixiang Luo, Shaohui Li, Wenrui Dai, De Cheng, Gang Li, Chenglin Li, Junni Zou, Hongkai Xiong, “Lossless Compression for Video Streams with Frequency Prediction and Macro Block Merging,” IEEE Data Compression Conference (DCC’2021), Snowbird, Utah, USA, Mar. 2021.
  • Jiaqi Sun, Wenrui Dai, Chenglin Li, Junni Zou, Hongkai Xiong, “Compressive Sensing via Unfolded l0-constrained Convolutional Sparse Coding,” IEEE Data Compression Conference (DCC’2021), Snowbird, Utah, USA, Mar. 2021. (Oral)
2020

Journal Articles

  • Xing Gao, Wenrui Dai, Chenglin Li, Hongkai Xiong, Pascal Frossard, “Multiscale Representation Learning of Graph Data With Node Affinity,” accepted by IEEE Transactions on Signal and Information Processing over Networks, vol. 7, pp. 30-44, Dec. 2020.
  • Yangmei Shen, Wenrui Dai, Chenglin Li, Junni Zou, Hongkai Xiong, “Multi-Scale Structured Dictionary Learning for 3D Point Cloud Compression,” accepted by IEEE Transactions on Circuits and Systems for Video Technology, vol. 31, no. 7, pp. 2792-2807, Jul. 2021.
  • Kexin Tang, Nuowen Kan, Junni Zou, Chenglin Li, Xiao Fu, Mingyi Hong, Hongkai Xiong, “Multi-user Adaptive Video Delivery over Wireless Networks: A Physical Layer Resource-Aware Deep Reinforcement Learning Approach,” accepted by IEEE Transactions on Circuits and Systems for Video Technology, vol. 31, no. 2, pp. 798-815, Feb. 2021.
  • Qi Wang, Ying Cui, Sian Jin, Junni Zou, Chenglin Li, Hongkai Xiong, “Optimization-based Decentralized Coded Caching for Files and Caches with Arbitrary Sizes,” accepted by IEEE Transactions on Communications, vol. 68, no. 4, pp. 2090-2105, April. 2020.
  • Wenrui Dai, X. Jiang, L. Bonomi, Yong Li, Hongkai Xiong, Lucila Ohno-Machado, “VERTICOX: Vertically Distributed Cox Proportional Hazards Model Using the Alternating Direction Method of Multipliers,” accepted by IEEE Transactions on Knowledge and Data Engineering, vol. 34, no. 2, pp. 996-1010, Feb. 2022.

Conference Papers

  • Chongxin Li, Jixiang Luo, Wenrui Dai, Chenglin Li, Junni Zou, Hongkai Xiong, “Spatial-Channel Context-based Entropy Modeling for End-to-end Optimized Image Compression,” IEEE International Conference on Visual Communications and Image Processing (VCIP’2020), Macao, China, Dec. 2020.
  • Hao Li, Xiaopeng Zhang, Qi Tian, Hongkai Xiong, “Attribute Mix: Semantic Data Augmentation for Fine Grained Recognition,” IEEE International Conference on Visual Communications and Image Processing (VCIP’2020), Macao, China, Dec. 2020.
  • Haoran Lv, Qin Yang, Chenglin Li, Wenrui Dai, Junni Zou, Hongkai Xiong, “SalGCN: Saliency Prediction for 360-Degree Images Based on Spherical Graph Convolutional Networks,” ACM International Conference on Multimedia (ACMM’2020), Seattle, USA, Oct. 2020.
  • Haohang Xu, Jin Li, Hongkai Xiong, Hui Lu, “FedMax: Enabling a Highly-Efficient Federated Learning Framework,” accepted by IEEE International Conference on Cloud Computing (IEEE CLOUD 2020), Beijing, China, Oct. 2020.
  • Bowen Shi, Yuhui Xu, Wenrui Dai, Botao Wang, Shuai Zhang, Chenglin Li, Junni Zou, Hongkai Xiong, “Tiny-HourglassNet: An Efficient Design for 3D Human Pose Estimation,” IEEE International Conference on Image Processing (ICIP 2020), Abu Dhabi, United Arab Emirates, Oct. 2020.
  • Yaoming Wang, Wenrui Dai, Chenglin Li, Junni Zou, Hongkai Xiong, “SI-VDNAS: Semi-Implicit Variational Dropout for Hierarchical One-shot Neural Architecture Search,” International Joint Conference on Artificial Intelligence (IJCAI 2020), Yokohama, Japan, July 2020.
  • Yuhui Xu, Y. Li, S. Zhang, W. Wen, Botao Wang, Yingyong Qi, Y. Chen, Weiyao Lin, Hongkai Xiong, “Trained Rank Pruning for Efficient Deep Neural Networks,” International Joint Conference on Artificial Intelligence (IJCAI 2020), Yokohama, Japan, July 2020
  • Shanghong Wang, Wenrui Dai, Mingxing Xu, Chenglin Li, Junni Zou, Hongkai Xiong, “Structure-Aware Graph Construction for Point Cloud Segmentation with Graph Convolutional Networks,” IEEE International Conference on Multimedia and Expo (ICME 2020), London, United Kindom, July 2020.
  • Qin Yang, Chenglin Li, Wenrui Dai, Junni Zou, Guo-Jun Qi, Hongkai Xiong, “Rotation Equivariant Graph Convolutional Network for Spherical Image Classification,” accepted by IEEE International Conference on Computer Vision and Pattern Recognition (CVPR 2020), Seattle, USA, June 2020.
  • Shaohui Li, Ziyang Zheng, Wenrui Dai, Junni Zou, Hongkai Xiong, “REV-AE: A Learned Frame Set for Image Reconstruntion,” accepted by IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP’2020), Barcelona, Spain, May 2020.
  • Yuhui Xu, Lingxi Xie, Xiaopeng Zhang, Xin Chen, Guo-Jun Qi, Qi Tian, Hongkai Xiong, “PC-DARTS: Partial Channel Connections for Memory-Efficient Architecture Search,” accepted by International Conference on Learning Representations (ICLR 2020), Addis Ababa ETHIOPIA, Apr. 2020.
  • Jixiang Luo, Shaohui Li, Wenrui Dai, Yuhui Xu, De Cheng, Gang Li, Hongkai Xiong, “Noise-to-Compression Variational Autoencoder for Efficient End-to-End Optimized Image Coding,” IEEE Data Compression Conference (DCC’2020), Snowbird, Utah, USA, Mar. 2020
  • Ziyang Zheng, Shanghong Wang, Shaohui Li, Wenrui Dai, Junni Zou, Feifei Li, and Hongkai Xiong, “DSCR-Net: a Diffractive Sensing and Complex-Valued Reconstruction Network for Compressive Sensing,” IEEE International Symposium on Circuits and Systems (ISCAS 2020), Sevilla, Spain, May 2020.
  • Zhicheng Mao, Wenrui Dai, Chenglin Li, Yuhui Xu, Shanghong Wang, Junni Zou, and Hongkai Xiong, “FedExg: Federated Learning with Exchanging Models Between Workers,” IEEE International Symposium on Circuits and Systems (ISCAS 2020) , Sevilla, Spain, May 2020.
2019

Journal Articles

  • Yuchen Zhang, Wenrui Dai, Mingxing Xu, Junni Zou, Xiaopeng Zhang, Hongkai Xiong, “Depth Estimation from Light Field Using Graph-Based Structure-Aware Analysis,” in IEEE Transactions on Circuits and Systems for Video Technology, vol. 30, no. 11, pp. 4269-4283, Nov. 2020. [Bibtex] [IEEE Xplore]
  • Junni Zou, Chenglin Li, Chengming Liu, Qin Yang, Hongkai Xiong, Eckehard Steinbach, “Probabilistic Tile Visibility-Based Server-Side Rate Adaptation for Adaptive 360-Degree Video Streaming,” in IEEE Journal of Selected Topics in Signal Processing, vol. 14, no. 1, pp. 161-176, Jan. 2020. [Bibtex] [IEEE Xplore]
  • Yuhui Xu, Wenrui Dai, Yingyong Qi, Junni Zou, Hongkai Xiong, “Iterative Deep Neural Network Quantization with Lipschitz Constraint,” in IEEE Transactions on Multimedia, vol. 22, no. 7, pp. 1874-1888, July 2020. [Bibtex] [IEEE Xplore]
  • Xiaopeng Zhang, Yang Yang, Hongkai Xiong, Jiashi Feng, “PML-LocNet: Improving Object Localization with Prior induced Multi-view Learning Network,” in IEEE Transactions on Image Processing, vol. 29, pp. 2568-2582, 2020. [Bibtex] [IEEE Xplore]
  • Yong Li, Wenrui Dai, Junni Zou, Hongkai Xiong, Y. F. Zheng, “Scalable Structured Compressive Video Sampling with Hierarchical Subspace Learning,” in IEEE Transactions on Circuits and Systems for Video Technology, vol. 30, no. 10, pp. 3528-3543, Oct. 2020. [Bibtex] [IEEE Xplore]
  • Junni Zou, Liwan Huang, Xiaofeng Gao, Hongkai Xiong, “Joint Pricing and Decision-Making for Heterogeneous User Demand in Cognitive Radio Networks,” accepted by IEEE Transactions on Cybernetics, vol. 49, no. 11, pp. 3873-3886, Nov. 2019. [PDF] [Bibtex] [IEEE Xplore]
  • Xiaopeng Zhang, Hongkai Xiong, Weiyao Lin, Qi Tian, “Weak to Strong Detector Learning for Simultaneous Classification and Localization,” IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), vol. 29, no. 2, pp. 418-432, Feb. 2019. [PDF] [Bibtex] [IEEE Xplore]
  • Botao Wang, Junni Zou, Yong Li, Kuanyu Ju, Hongkai Xiong, Y. F. Zheng, “Sparse-to-Dense Depth Estimation in Videos via High-Dimensional Tensor Voting,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 29, no. 1, pp. 68-79, Jan. 2019. [PDF] [Bibtex] [IEEE Xplore]
  • Junni Zou, Chenglin Li, Congcong Zhai, Hongkai Xiong, Eckehard Steinbach, “Joint Pricing and Cache Placement for Video Caching: A Game Theoretic Approach,” accepted by IEEE Journal on Selected Areas in Communications, vol. 37, no. 7, pp. 1566-1583, Jul. 2019. [PDF] [Bibtex] [IEEE Xplore]
  • Weiyao Lin, Yuxi Li, Hao Xiao, John See, Junni Zou, Hongkai Xiong, Jingdong Wang, Tao Mei, “Group Reidentification with Multigrained Matching and Integration,” accepted by IEEE Transactions on Cybernetics, vol. 51, pp. 1478-1492. Mar. 2021. [PDF] [Bibtex] [IEEE Xplore]
  • Guangcan Liu, Zhao Zhang, Qingshan Liu, Hongkai Xiong, “Robust Subspace Clustering with Compressed Data,” IEEE Transactions on Image Processing , vol. 28, no. 10, pp. 5161-5170, Oct. 2019. [PDF] [Bibtex] [arXiv]

Conference Papers

  • Yuhui Xu, Yuxi Li, Shuai Zhang, Wei Wen, Botao Wang, Wenrui Dai, Yingyong Qi, Yiran Chen, Weiyao Lin, Hongkai Xiong, “Trained Rank Pruning for Efficient Deep Neural Networks,” The NeurIPS-EMC2 Workshop on Energy Efficient Machine Learning and Cognitive Computing, Vancouver, CANADA, Dec. 2019. [Bibtex] [IEEE Xplore]
  • P. Jiang, Q. Hou, Y. Cao, Ming-Ming Cheng, Y. Wei, Hongkai Xiong, “Integral Object Mining via Online Attention Accumulation,” International Conference in Computer Vision (ICCV 2019), Seoul, Korea, Nov. 2019. [PDF] [Bibtex] [CVF Open Access]
  • Chen Zuo, Wei Zhang, Lingxi Xie, Qi Tian, Hongkai Xiong, “Det2Seg: A Two-Stage Approach for Road Object Segmentation from 3D Point Clouds,” IEEE International Conference on Visual Communications and Image Processing (VCIP’2019), Sydney, Australia, Dec. 2019. [Bibtex] [IEEE Xplore]
  • Qiaoyu Lu, Chenglin Li, Junni Zou, Kexin Tang, Qi Wang, Hongkai Xiong, “Transcoding-Enabled Edge Caching and Delivery for Tile-Based Adaptive 360-Degree Video Streaming,” IEEE International Conference on Visual Communications and Image Processing (VCIP’2019), Sydney, Australia, Dec. 2019. [Bibtex] [IEEE Xplore]
  • Kexin Tang, Nuowen Kan, Junni Zou, Xiao Fu, Mingyi Hong, Hongkai Xiong, “Multiuser Video Streaming Rate Adaptation: A Physical Layer Resource-Aware Deep Reinforcement Learning Approach,” IEEE International Conference on Visual Communications and Image Processing (VCIP’2019), Sydney, Australia, Dec. 2019. [Bibtex] [IEEE Xplore]
  • Chunmiao Liu, Bowen Shi, Chenglin Li, Junni Zou, Yingqi Chen, and Hongkai Xiong, “Deep Neural Network-Based Algorithm Approximation via Multivariate Polynomial Regression,” IEEE Global Communications Conference (GlobeCOM’2019), Waikoloa, Hawaii, USA, Dec. 2019. [Bibtex] [IEEE Xplore]
  • Nuowen Kan, Chengming Liu, Junni Zou, Chenglin Li, Hongkai Xiong, “A Server-side Optimized Hybrid Multicast-Unicast Strategy for Multi-User Adaptive 360-Degree Video Streaming,” IEEE International Conference on Image Processing (ICIP’2019), Taipei, Taiwan, China, Sep. 2019. [Bibtex] [IEEE Xplore]
  • Yongzhuang Wang, Yangmei Shen, Hongkai Xiong, Weiyao Lin, “Adaptive Hard Example Mining for Image Captioning,” IEEE International Conference on Image Processing (ICIP’2019), Taipei, Taiwan, China, Sep. 2019. [Bibtex] [IEEE Xplore]
  • Qi Wang, Ying Cui, Sian Jin, Junni Zou, Chenglin Li, Hongkai Xiong, “Optimization-based Decentralized Coded Caching for Files and Caches with Arbitrary Sizes,” IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC’2019), Cannes, France, July 2019. [PDF] [Bibtex] [arXiv]
  • Shaohui Li, Ziyang Zheng, Wenrui Dai, Hongkai Xiong, “Lossy Image Compression with Filter Bank based Convolutional Networks,” IEEE Data Compression Conference (DCC’2019), Snowbird, Utah, USA, Apr. 2019. [PDF] [Bibtex] [IEEE Xplore]
  • Yuhui Xu, Shuai Zhang, Yingyong Qi, Weiyao Lin, Hongkai Xiong, “DNQ: Dynamic Network Quantization,” IEEE Data Compression Conference (DCC’2019), Snowbird, Utah, USA, Apr. 2019. [PDF] [Bibtex] [IEEE Xplore]
  • Nuowen Kan, Junni Zou, Kexin Tang, Chenglin Li, Ning Liu, Hongkai Xiong, “Deep Reinforcement Learning-based Rate Adaptation for Adaptive 360-degree Video Streaming,” International Conference on Acoustics, Speech, and Signal Processing (ICASSP’2019), Brighton, UK, May, 2019. [PDF] [Bibtex] [IEEE Xplore]
  • Qin Yang, Junni Zou, Kexin Tang, Chenglin Li, Hongkai Xiong, “Single and Sequential VIEWPORTS Prediction for 360-Degree Video Streaming,” IEEE Int'l Symposium on Circuits & Systems (ISCAS’2019), Sapporo, Japan, May 2019. [PDF] [Bibtex] [IEEE Xplore]
  • Yuehan Xiong, Hongkai Xiong, “Graph-Based Descriptor Learning for Non-Rigid 3d Shapes,” IEEE Int'l Symposium on Circuits & Systems (ISCAS’2019), Sapporo, Japan, May 2019. [PDF] [Bibtex] [IEEE Xplore]
2018

Journal Articles

  • Wenrui Dai, Yong Li, Junni Zou, Hongkai Xiong, Yuan F. Zheng, “Fully Decomposable Compressive Sampling with Joint Optimization for Multidimensional Sparse Representation,” IEEE Transactions on Signal Processing, vol. 66, no. 3, pp. 603-616, Feb. 2018. [PDF] [Bibtex] [IEEE Xplore]
  • Chenglin Li, Hongkai Xiong, Junni Zou, Dapeng Wu, “Joint Dynamic Rate Control and Transmission Scheduling for Scalable Video Multirate Multicast over Wireless Networks,” IEEE Transactions on Multimedia, vol. 20, no. 2, pp. 361-378, Feb. 2018. [PDF] [Bibtex] [IEEE Xplore]
  • Chenglin Li, Toni Laura, Junni Zou, Hongkai Xiong, Frossard Pascal, “Delay-Power-Rate-Distortion Optimization of Video Representations for Dynamic Adaptive Streaming,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 28, no. 7, pp. 1648-1664, July 2018. [PDF] [Bibtex] [IEEE Xplore]
  • Chenglin Li, Laura Toni, Junni Zou, Hongkai Xiong, Pascal Frossard, “QoE-Driven Mobile Edge Caching Placement for Adaptive Video Streaming,” IEEE Transactions on Multimedia, vol. 20, no. 4, pp. 965-984, Apr. 2018. [PDF] [Bibtex] [IEEE Xplore]

Conference Papers

  • Hao Wu, Ziyang Zheng, Yong Li, Wenrui Dai, Hongkai Xiong, “Compressed Sensing via a Deep Convolutional Auto-encoder,” IEEE International Conference on Visual Communications and Image Processing (VCIP’2018), Taiwan, China, Dec. 2018. [PDF] [Bibtex] [IEEE Xplore]
  • Yu Chen, Yuehan Xiong, Xing Gao, Hongkai Xiong, “Structurally Constrained Correlation Transfer for Zero-shot Learning,” IEEE International Conference on Visual Communications and Image Processing (VCIP’2018), Taiwan, China, Dec. 2018 [PDF] [Bibtex] [IEEE Xplore]
  • Chengming Liu, Nuowen Kan, Junni Zou, Qin Yang, Hongkai Xiong, “SERVER-SIDE RATE ADAPTATION FOR MULTI-USER 360-DEGREE VIDEO STREAMING,”accepted by IEEE International Conference on Image Processing(ICIP-18), 2018 [PDF] [Bibtex] [IEEE Xplore]
  • Dongchen Yu, Xing Gao, and Hongkai Xiong, “Structured Semantic Representation for Visual Question Answering,” accepted by IEEE International on Image Processing (ICIP 2018), Athens, Greece, Oct. 2018. [PDF] [Bibtex] [IEEE Xplore]
  • Yuhui Xu, Yongzhuang Wang, A. Zhou, Weiyao Lin, Hongkai Xiong, “Deep Neural Network Compression with Single and Multiple Level Quantization,” accepted by Association for the Advancement of Artificial Intelligence Conference on Artificial Intelligence (AAAI-18), 2018. [PDF] [Bibtex] [arXiv]
  • Xing Gao, Hongkai Xiong, “Unsuperviesd Representation Learning with Prior-Free and Adversarial Mechanism Embedded Autoencoders,” accepted by IEEE International Conference on Multimedia and Expo (ICME 2018),San Diego, USA, July 2018. [PDF] [Bibtex] [IEEE Xplore]
  • Xiaopeng Zhang, J.Feng, Hongkai Xiong, Q.Tian, “Zigzag Learning for Weakly Supervised Object Detection,” accepted by IEEE Int'l conf.Computer Vision and Pattern Recognition(CVPR 2018),June 2018. [PDF] [Bibtex] [arXiv]
2017

Journal Articles

  • Yong Li, Wenrui Dai, Junni Zou, Hongkai Xiong, Y. F. Zheng, “Structured Sparse Representation with Union of Data-driven Linear and Multi-Linear Subspaces Model for Compressive Video Sampling,” IEEE Transactions on Signal Processing, vol. 65, no. 19, pp. 5062-5077, Oct. 2017. [PDF] [Bibtex] [IEEE Xplore]
  • Xiaopeng Zhang, Hongkai Xiong, W. Zhou, W. Lin, Q. Tian, “Picking Neural Activations for Fine-grained Recognition,” IEEE Transactions on Multimedia, vol. 19, no. 12, pp. 2736-2750, Dec. 2017. [PDF] [Bibtex] [IEEE Xplore]
  • Wenrui Dai, Yangmei Shen, Hongkai Xiong, Xiaoqian Jiang, Junni Zou, David Taubman, “Progressive Dictionary Learning with Hierarchical Predictive Structure for Scalable Video Coding,” IEEE Transactions on Image Processing, vol. 26, no. 6, pp. 2972-2987, June 2017. [PDF] [Bibtex] [IEEE Xplore]
  • Botao Wang, Zhihui Fu, Hongkai Xiong, Y. F. Zheng, “Transductive Video Segmentation on Tree-Structured Model,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 27, no. 5, pp. 922-1005, May 2017. [PDF] [Bibtex] [IEEE Xplore]
  • Chuan Wang, Hua Zhang, Liang Yang, Xiaochun Cao, Hongkai Xiong, “Multiple Semantic Matching on Augmented N-partite Graph for Object Co-segmentation,” IEEE Transactions on Image Processing, vol. 26, no. 12, pp. 5825-5839, Dec. 2017. [PDF] [Bibtex] [IEEE Xplore]

Conference Papers

  • Kexin Tang, Chenglin Li, Hongkai Xiong, Junni Zou and P. Frossard, “Reinforcement Learning-Based Opportunistic Routing for Live Video Streaming over Multi-Hop Wireless Networks,” in IEEE International Workshop on Multimedia Signal Processing (MMSP 2017), London-Luton, UK, Oct. 2017. [PDF] [Bibtex]
  • Han Cheng, Chenglin Li, Hongkai Xiong, and P. Frossard, “Optimal Decentralized Coded Caching for Heterogeneous Files,” in European Signal Processing Conference (EUSIPCO 2017), Kos island, Greece, Aug. 2017. [PDF] [Bibtex]
  • Can Xu, Wenrui Dai, and Hongkai Xiong, “Extended Conjugate Polar Fourier Transform in Convolution Network,” accepted by IEEE International on Image Processing (ICIP 2017), Beijing, China, Sep. 2017.
  • Yangmei Shen, Hongkai Xiong, and Wenrui Dai, “Multiscale Dictionary Learning for Hierarchical Sparse Representation,” in IEEE International Conference on Multimedia and Expo (ICME 2017), Hong Kong, July 2017. [PDF] [Bibtex]
  • Saijie Ni, Xiaopeng Zhang, Botao Wang, and Hongkai Xiong, “Webly-supervised Visual Concept Learning with Cardinality Guided Instance Mining and Clustered Multitask Refinement,” in IEEE International Conference on Multimedia and Expo (ICME 2017), Hong Kong, July 2017. [PDF] [Bibtex]
  • Wenjing Fan, Wenrui Dai, Yong Li, and Hongkai Xiong, “Complementary Contextual Models with FM-index for DNA Compression,” in IEEE Data Compression Conference (DCC 2017), Snowbird, Utah, USA, Apr. 2017. [PDF] [Bibtex]
  • Yong Li, Wenrui Dai, and Hongkai Xiong, “Nonconvex Optimization with Alternating Direction Method of Multipliers for Tensor-based Compressed Sensing with Group Sparsity,” in IEEE Data Compression Conference (DCC 2017), Snowbird, Utah, USA, Apr. 2017.
2016

Journal Articles

  • Botao Wang, Hongkai Xiong, Weiyao Lin, Junni Zou, and Y. F. Zheng, “Multitask Learning of Compact Semantic Codebooks for Context-aware Scene Modeling,” IEEE Transactions on Image Processing (TIP), vol. 25, no. 11, pp. 5411-5426, Nov. 2016. [PDF] [Bibtex] [IEEE Xplore]
  • Wenrui Dai, Yangmei Shen, Xin Tang, J. Zou, Hongkai Xiong, and C. W. Chen, “Sparse Representation with Spatio-Temporal Online Dictionary Learning for Promising Video Coding,” IEEE Transactions on Image Processing (TIP), vol. 25, no. 10, pp. 4580-4595, Oct. 2016. [PDF] [Bibtex] [IEEE Xplore]
  • Botao Wang, D. Lin, Hongkai Xiong, and Y. F. Zheng, “Joint Inference of Objects and Scenes with Efficient Learning of Text-Object-Scene Relations,” IEEE Transactions on Multimedia (TMM), vol. 18, no. 3, pp. 507-520, March 2016. [PDF] [Bibtex] [IEEE Xplore]
  • Xiaopeng Zhang, Hongkai Xiong, W. Zhou, and Q. Tian, “Fused One-vs-All Features with Semantic Alignments for Fine-Grained Visual Categorization,” IEEE Transactions on Image Processing (TIP), vol. 25, no. 2, pp. 878-892, Feb. 2016. [PDF] [Bibtex] [IEEE Xplore]

Conference Papers

  • Chenglin Li, L. Toni, P. Frossard, Hongkai Xiong, and J. Zou, “Complexity Constrained Representation Selection for Dynamic Adaptive Streaming,” in IEEE International Conference on Visual Communications and Image Processing (VCIP’2016), Chengdu, China, Nov. 2016. [PDF] [Bibtex]
  • Xing Gao, Hongkai Xiong, “A Hybrid Wavelet Convolution Network with Sparse-coding for Image Super-resolution,” in IEEE International Conference on Image Processing (ICIP'16), Phoenix, USA, Sept 2016. [PDF] [Bibtex] [PPT]
  • Yuchen Zhang, Hongkai Xiong, “A Cost Minimization with Light Field in Scene Depth Map Estimation,” in IEEE International Conference on Image Processing (ICIP'16), Phoenix, USA, Sept 2016. [PDF] [Bibtex]
  • W. Xu, J. Zou, and Hongkai Xiong, “Joint Source-Channel Rate Control for Multiview Video Streaming over Erasure Channels,” in IEEE International Conference on Image Processing (ICIP'16), Phoenix, USA, Sept 2016. [PDF] [Bibtex]
  • Chenglin Li, P. Frossard, Hongkai Xiong, and J. Zou, “Distributed Wireless Video Caching Placement for Dynamic Adaptive Streaming,” in ACM SIGMM Workshop on Network and Operating Systems Support for Digital Audio and Video (NOSSDAV'16), Klagenfurt am Worthersee, Austria, May 2016. [PDF] [Bibtex]
  • Yuehan Xiong, Can Xu, and Hongkai Xiong, “Kernelized Learning in Deep Scattering Convolution Network,” in IEEE International Conference on Multimedia and Expo (ICME'16), Seattle, USA, July 2016. [PDF] [Bibtex]
  • Xiaopeng Zhang, Hongkai Xiong, W. Zhou, W. Lin, and Q. Tian, “Picking Deep Filter Responses for Fine-grained Image Recognition,” in IEEE International Conference on Computer Vision and Pattern Recognition (CVPR'16), 2016. [PDF] [Bibtex]
  • Saijie Ni, Botao Wang, and Hongkai Xiong, “Layer-Wise Supervised Neural Network for Face Alignment with Multi-Task Regularization,” in IEEE International Symposium on Circuits & Systems (ISCAS'16), 2016. [PDF]
  • Yong Li, Wenrui Dai, and Hongkai Xiong, “Compressive Tensor Sampling with Structured Sparsity,” in IEEE Data Compression Conference (DCC'16), Snowbird, Utah, USA, March 2016. [PDF] [Bibtex]
  • Can Xu, Hongkai Xiong, “Revertible Deep Convolutional Networks with Iterated Directional Filter Bank,” in IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP'16), Shanghai, March 2016. [PDF] [Poster]
  • Kuanyu Ju, Yong Li, and Hongkai Xiong, “Depth Propagation with Tensor Voting for 2D-TO-3D Video Conversion,” in IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP'16), Shanghai, March 2016. [PDF] [Bibtex]
2015

Journal Articles

  • S. Wang, Yuchen Zhang, Wenrui Dai, K. Lauter, M. Kim, Y. Tang, Hongkai Xiong, and X. Jiang, “HEALER: Homomorphic computation of ExAct Logistic rEgRes-sion for secure rare disease variants analysis in GWAS,” accepted by Bioinformatics, 2015. [PDF] [Bibtex]
  • Yong Li, X. Jiang, S. Wang, Hongkai Xiong, and L. Ohno-Machado, “VERTIcal Grid lOgistic regression (VERTIGO),” accepted by Journal of the American Medical Informatics Association (JAMIA), 2015. [PDF] [Bibtex]
  • J. Zou, Q. Wu, Hongkai Xiong, and C. W. Chen, “Dynamic Spectrum Access and Power Allocation for Cooperative Cognitive Radio Networks,” IEEE Transactions on Signal Processing (TSP), vol. 63, no. 21, pp. 5637-5649, Nov. 2015. [PDF] [Bibtex]
  • Wenrui Dai, Hongkai Xiong, J. Wang, S. Cheng, and Y. F. Zheng, “Generalized Context Modeling with Multi-Directional Structuring and MDL-based Model Selection for Heterogeneous Data Compression,” IEEE Transactions on Signal Processing (TSP), vol. 63, no. 21, pp. 5650-5664, Nov. 2015. [PDF] [Bibtex] [IEEE Xplore]
  • Chenglin Li, Hongkai Xiong, and D. Wu, “Delay-Rate-Distortion Optimized Rate Control for End-to-end Video Communication over Wireless Channels,” IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), vol. 25, no. 10, pp. 1665-1681, Oct. 2015. [PDF] [Bibtex] [IEEE Xplore]
  • Yuchen Zhang, Wenrui Dai, X. Jiang, Hongkai Xiong, and S. Wang, “FORESEE: Fully Outsourced secuRe gEnome Study basEd on homomorphic Encryption,” BMC Medical Informatics and Decision Making, vol. 15, no. Suppl 5, 2015. [PDF] [Bibtex]

Conference Papers

  • Kuanyu Ju, Botao Wang, and Hongkai Xiong, “Structure-aware Priority Belief Propagation for Depth Estimation,” accepted by IEEE Visual Communications and Image Processing (VCIP'15), Singapore, Dec. 2015. [PDF] [Bibtex] [IEEE Xplore]
  • Zhihui Fu, Botao Wang, and Hongkai Xiong, “Transductive Video Co-segmentation on the Temporal Trees,” in IEEE International Conference on Image Processing (ICIP'15), Quebec City, Canada, Sept. 2015. [PDF] [Poster] [Bibtex] [IEEE Xplore]
  • W. Xu, J. Zou, and Hongkai Xiong, “Interactive Multiview Video Scheduling through Bargaining,” in IEEE International Conference on Image Processing (ICIP'15), Quebec City, Canada, Sept. 2015. [PDF] [Bibtex]
  • Yangmei Shen, Wenrui Dai, and Hongkai Xiong, “Adaptive Submodular Dictionary Selection for Sparse Representation Modeling with Application to Image Super-Resolution,” in IEEE Data Compression Conference (DCC'15), Snowbird, Utah, USA, Apr. 7-9, 2015. [PDF] [Poster] [Bibtex] [IEEE Xplore]
  • Yong Li, Wenrui Dai, and Hongkai Xiong, “Subspace Learning with Structured Sparsity for Compressive Video Sampling,” in IEEE Data Compression Conference (DCC'15), Snowbird, Utah, USA, Apr. 7-9, 2015. [PDF] [Bibtex]
  • Xin Tang, Wenrui Dai, and Hongkai Xiong, “Progressive Dictionary Learning with Hierarchical Structure for Scalable Video Coding,” in IEEE Data Compression Conference (DCC'15), Snowbird, Utah, USA, Apr. 7-9, 2015. [PDF] [Bibtex]
  • Wenrui Dai, Hongkai Xiong, “Bi-Directional Context Modeling with Combinatorial Structuring for Genome Sequence Compression,” in IEEE Data Compression Conference (DCC'15), Snowbird, Utah, USA, Apr. 7-9, 2015. [PDF] [Bibtex] [IEEE Xplore]
2014

Journal Articles

  • J. Zou, Q. Wu, Hongkai Xiong, and C. W. Chen, “Joint Spectrum and Power Auction with Multiauctioneer and Multibidder in Coded Cooperative Cognitive Radio Networks,” IEEE Transactions on Wireless Communication, vol. 13, no. 10, pp. 5768-5780, Oct. 2014. [PDF] [Bibtex]
  • Chenglin Li, D. Wu, and Hongkai Xiong, “Delay-Power-Rate-distortion Model for Wireless Video Communication Under Delay and Energy Constraints,” IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), vol. 24, no. 7, pp. 1170-1183, Jul. 2014. [PDF] [Bibtex] [IEEE Xplore]
  • Botao Wang, Hongkai Xiong, X. Jiang, and Y. F. Zheng, “Data-driven Hierarchical Structure Kernel for Multi-scale Part Based Object Recognition,” IEEE Transactions on Image Processing (TIP), vol. 23, no. 4, pp. 1765-1778, Apr. 2014. [PDF] [Bibtex] [IEEE Xplore]
  • Wenrui Dai, Hongkai Xiong, J. Wang, and Y. F. Zheng, “Large Discriminative Structured Set Prediction Modeling With Max-Margin Markov Network for Lossless Image Coding,” IEEE Transactions on Image Processing (TIP), vol. 23, no. 2, pp. 541-554, Feb. 2014. [PDF] [Bibtex] [IEEE Xplore]
  • Botao Wang, Hongkai Xiong, Zhiquan Ren, and C. W. Chen, “Deformable Shape Preserving Video Retargeting with Salient Curve Matching,” IEEE Journal on Emerging and Selected Topics in Circuits and Systems (JETCAS), vol. 4, no. 1, pp. 82-94, Jan. 2014. [PDF] [Bibtex] [IEEE Xplore]
  • J. Zou, L. Jiang, and Chenglin Li, “Content-aware Optimization on Rate-Distortion and Network Traffic for Scalable Video Multicast Networks,” vol. 71, no. 3, pp. 1975-1998, Aug. 2014. [PDF] [Bibtex] [Springer]

Conference Papers

  • Xiaopeng Zhang, Hongkai Xiong, W. Zhou, and Q. Tian, “Fused One-vs-All Mid-Level Features for Fine-Grained Visual Categorization,” in ACM International Conference on Multimedia (ACMM'14), pp. 287-296, Orlando, Florida, USA, Nov. 2014. [PDF] [Bibtex]
  • Chenglin Li, Hongkai Xiong, and D. Wu, “Delay-Rate-Distortion Optimized Rate Control for Wireless Video Communication,” in IEEE International Conference on Image Processing (ICIP'14), Paris, France, Oct. 2014. [PDF] [Bibtex] [IEEE Xplore]
  • Zhihui Fu, Hongkai Xiong, “Figure/ground video segmentation using greedy transductive cosegmentation,” in IEEE International Conference on Image Processing (ICIP'14), Paris, France, Oct. 2014. [PDF] [Bibtex]
  • Chenglin Li, Hongkai Xiong, J. Zou, and D. Wu, “Dynamic Rate Allocation and Opportunistic Routing for Scalable Video Multirate Multicast over Time-Varying Wireless Networks,” in IEEE INFOCOM Workshop on Communication and Networking Techniques for Contemporary Video, Toronto, Canada, 2014. [PDF] [Bibtex] [IEEE Xplore]
  • J. Wu, Wenrui Dai, and Hongkai Xiong, “Regional Context Model and Dynamic Huffman Binarization for Adaptive Entropy Coding of Multimedia,” in IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB'14), Beijing, China, June 2014. [PDF] [Bibtex]
  • Xin Tang, Hongkai Xiong, and X. Jiang, “Multiscale Online Dictionary Learning with Hierarchical Sparsity for Scalable Video Coding,” in IEEE Data Compression Conference (DCC'14), Snowbird, Utah, USA, Mar. 26-28, 2014. [PDF] [Bibtex]
  • Wenrui Dai, Hongkai Xiong, “Gaussian Process Regression Based Prediction for Lossless Image Coding,” in IEEE Data Compression Conference (DCC'14), Snowbird, Utah, USA, Mar. 26-28, 2014. [PDF] [Bibtex] [IEEE Xplore]
  • Pinghao Li, Hongkai Xiong, H. Arguello, and G. R. Arce, “Embedded Transform Coding based Lossless Compression in Compressive Spectral Imaging with Coded Aperture,” in IEEE Data Compression Conference (DCC'14), Snowbird, Utah, USA, Mar. 26-28, 2014. [PDF] [Bibtex]
  • Xiaopeng Zhang, and Hongkai Xiong, “Multiscale Edge Coding and Adaptive Lifting for Depth Maps Coding in 3-D Video,” in IEEE Data Compression Conference (DCC'14), Snowbird, Utah, USA, Mar. 26-28, 2014. [PDF] [Bibtex]
  • Yong Li, Hongkai Xiong, “Union of Data-driven Subspaces via Subspace Clustering for Compressive Video Sampling,” in IEEE Data Compression Conference (DCC'14), Snowbird, Utah, USA, Mar. 26-28, 2014. [PDF] [Bibtex]
  • Hao Wang, Xiaopeng Zhang, and Hongkai Xiong, “Spatio-Temporal Coherence for 3-D View Synthesis with Curve-Based Disparity Warping,” in IEEE Visual Communications and Image Processing (VCIP'14), Valletta, Malta, Dec. 2014. [PDF] [Bibtex]
  • L. Liu, J. Zou, and Hongkai Xiong, “Bandwidth Allocation for Video Streaming over Peer-to-Peer Networks with Nash Bargaining,” in ACM International Conference on Internet Multimedia Computing and Service (ICIMCS'14), Xiamen, China, July 2014. [PDF] [Bibtex]
  • Y. Yang, J. Zou, and Hongkai Xiong, “Flow Optimization for Scalable Multi-view Video over Wireless Networks,” in ACM International Conference on Internet Multimedia Computing and Service (ICIMCS'14), Xiamen, China, July 2014. [PDF] [Bibtex]
  • Kuanyu Ju, Hongkai Xiong, “A Semi-automatic 2D-to-3D Video Conversion with Adaptive Key-frame Selection,” in SPIE/COS Photonics Asia, Beijing, China, Oct. 2014. [PDF]
  • Yuchen Zhang, Hongkai Xiong, “Partial Scene Reconstruction Using Time-of-Flight Imaging,” in SPIE/COS Photonics Asia, Beijing, China, Oct. 2014. [PDF] [Bibtex]
2013

Journal Articles

  • Pinghao Li, X. Jiang, W. Shuang, K. J. Kim, Hongkai Xiong, and L. Ohno-Machado, “HUGO: Hierarchical mUlti-reference Genome cOmpression For Aligned Reads,” Journal of the American Medical Informatics Association (JAMIA), Dec. 24, 2013. [PDF] [Bibtex]
  • Pinghao Li, Wang S, J. Kim, Xiong H, Ohno-Machado L, and X. Jiang, “DNA-COMPACT: DNA COMpression Based on a Pattern-Aware Contextual Modeling Technique,” PLoS ONE , vol. 8, no. 11, 2013. [PDF] [Bibtex]
  • Wenrui Dai, Hongkai Xiong, X. Jiang, and C. W. Chen, “Structured Set Intra Prediction with Discriminative Learning in Max-Margin Markov Network for High Efficiency Video Coding,” IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), vol. 23, no. 11, pp. 1941-1956, Nov. 2013. [PDF] [Bibtex] [IEEE Xplore]
  • Hongkai Xiong, Zhiming Pan, Xinwei Ye, and C. W. Chen, “Sparse Spatio-Temporal Representation with Adaptive Regularized Dictionary Learning for Low Bit-Rate Video Coding,” IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), vol. 23, no. 4, pp. 710-728, April 2013. [PDF] [Bibtex]
  • Hongkai Xiong, Dayu Zheng, Qingxiang Zhu, Botao Wang, and Y. F. Zheng, “A Structured Learning-Based Graph Matching Method For Tracking Dynamic Multiple Objects,” IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), vol. 23, no. 3, pp. 534-548, March 2013. [PDF] [Bibtex] [IEEE Xplore]
  • J. Zou, Hongkai Xiong, D. Wang, and C. W. Chen, “Optimal Power Allocation for Hybrid Overlay/Underlay Spectrum Sharing in Multiband Cognitive Radio Networks,” IEEE Transactions on Vehicular Technology, vol. 62, no. 4, pp. 1827-1837, May 2013. [PDF] [Bibtex]

Conference Papers

  • Yong Li, Hongkai Xiong, and Xinwei Ye, “Compressive Video Sampling from A Union of Data-Driven Subspaces,” in Visual Communications and Image Processing (VCIP'13), Kuching, Malaysia, Nov. 2013. [PDF] [Bibtex]
  • Hao Wu, J. Wang, and Hongkai Xiong, “Strip Based Media Retargeting via Combing Multi-Operators,” in IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB'13), London, UK, June 2013. (Best Paper Award) [PDF] [Bibtex] [IEEE Xplore]
  • Xiaopeng Zhang, Hongkai Xiong, “A Scalable Depth Coding with Arc Breakpoints based Synthesis in 3-D Video,” in IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB'13), London, UK, June 2013. [PDF] [Bibtex]
  • Xiaopeng Zhang, Hongkai Xiong, “Illumination Compensation via Low Rank Matrix Completion for Multiview Video Coding,” in IEEE International Conference on Image Processing (ICIP'13), Melbourne, Australia, Sept. 2013. [PDF] [Bibtex]
  • Wenrui Dai, Hongkai Xiong, and X. Jiang, “An Adaptive Difference Distribution-based Coding with Hierarchical Tree Structure for DNA Sequence Compression,” in IEEE Data Compression Conference (DCC'13), Snowbird, Utah, USA, Mar. 20-22, 2013. [PDF] [Bibtex] [IEEE Xplore]
  • Xin Tang, and Hongkai Xiong, “STOL: Spatio-Temporal Online Dictionary Learning for low bit-rate video coding,” in IEEE Data Compression Conference (DCC'13), Snowbird, Utah, USA, Mar. 20-22, 2013. [PDF] [Bibtex] [IEEE Xplore]
  • S. Wang, X. Jiang, L. Cui, S. Cheng, N. Deligiannis, Wenrui Dai, Pinghao Li, Hongkai Xiong, and L. Ohno-Machado, “Genome Sequence Compression with Distributed Source Coding,” in IEEE Data Compression Conference (DCC'13), Snowbird, Utah, USA, Mar. 20-22, 2013. [PDF] [Bibtex] [IEEE Xplore]
  • Zhiquan Ren, Botao Wang, Yuchen Zhang, and Hongkai Xiong, “Visual Preserving Video Retargeting With Deformable Shape Consistency,” in IEEE International Conference on Multimedia and Expo (ICME'13), San Jose, California, USA, July, 2013. [PDF] [Poster] [Bibtex] [IEEE Xplore]
  • Chenglin Li, Dapeng Wu, and Hongkai Xiong, “Delay-Power-Rate-Distortion Model for H.264 Video Coding,” in IEEE China Summit and International Conference on Signal and Information Processing (ChinaSIP'13), Beijing, China, March, 2013, pp. 259-273. [PDF] [Bibtex] [IEEE Xplore]
2012

Journal Articles

  • Chenglin Li, Hongkai Xiong, J. Zou, and C. W. Chen, “Distributed Robust Optimization for Scalable Video Multi-Rate Multicast over Wireless Networks,” IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), vol. 22, no. 6, pp. 943-957, Jun. 2012. [PDF] [Bibtex][IEEE Xplore]

Conference Papers

  • Botao Wang, Qingxiang Zhu, and Hongkai Xiong, “Optimization of Variational Methods via Motion-based Weight Selection and Keypoint Matching,” in Visual Communications and Image Processing (VCIP'12), San Diego, USA, Nov. 2012. [PDF] [Poster] [Bibtex] [IEEE Xplore]
  • Qingxiang Zhu, Hongkai Xiong, and X. Jiang, “Shape-oriented Segmentation with Graph Matching Corroboration for Silhouette Tracking,” in Visual Communications and Image Processing (VCIP'12), San Diego, USA, Nov. 2012. [PDF] [Bibtex] [IEEE Xplore]
  • Qingxiang Zhu, Dayu Zheng, and Hongkai Xiong, “3D Tubular Structure Extraction using Kernel-based Superellipsoid Model with Gaussian Process Regression,” in Visual Communications and Image Processing (VCIP'12), San Diego, USA, Nov. 2012. [PDF] [Bibtex] [IEEE Xplore]
  • Wenrui Dai, Hongkai Xiong, “Discriminative Structured Set Prediction Modeling with Max-Margin Markov Network for Optimal Lossless Image Coding,” in Visual Communications and Image Processing (VCIP'12), San Diego, USA, Nov. 2012. [PDF] [Bibtex] [IEEE Xplore]
  • Wenrui Dai, Hongkai Xiong, “Optimal Intra Coding of HEVC by Structured Set Prediction Mode with Discriminative Learning,” in Visual Communications and Image Processing (VCIP'12), San Diego, USA, Nov. 2012. [PDF] [Bibtex] [IEEE Xplore]
  • Botao Wang, Hongkai Xiong, X. Jiang, and F. Lin, “Semi-supervised Object Recognition Using Structure Kernel,” in IEEE International Conference on Image Processing (ICIP'12), Orlando, Florida, USA, Sept. 2012. [PDF] [Slides] [Bibtex] [IEEE Xplore]
  • Zhiming Pan, Hongkai Xiong, “Sparse Spatio-Temporal Representation with Adaptive Regularized Dictionaries for Super-Resolution based Video Coding,” IEEE Data Compression Conference (DCC'12), Snowbird, Utah, USA, Apr. 2012. [PDF] [Bibtex] [IEEE Xplore]
  • Xinwei Ye, Hongkai Xiong, “Optimal Spatio-Temporal Projections with Holo-Kronecker Compressive Sensing of Video Acquisition,” in IEEE Data Compression Conference (DCC'12), Snowbird, Utah, USA, Apr. 2012. [PDF] [Bibtex] [IEEE Xplore]
  • Yongsheng Zhang, Hongkai Xiong, and C. W. Chen, “A Novel Slepian-Wolf Decoding Algorithm Exploiting Geometric Regularity Constraints with Anisotropic MRF Modeling,” in IEEE International Symposium on Circuits & Systems (ISCAS'12), Seoul, Korea, May 2012. [PDF] [Bibtex] [IEEE Xplore]
2011

Journal Articles

  • Hongkai Xiong, Lingchen Zhu, Nannan Ma, and Y. F. Zheng, “Scalable Video Compression Framework with Adaptive Orientational Multiresolution Transform and Nonuniform Directional Filterbank Design,” IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), vol. 21, no. 8, pp. 1085-1099, Aug. 2011. [PDF] [Bibtex] [IEEE Xplore]
  • Hongkai Xiong, Yang Xu, Y. F. Zheng, and C. W. Chen, “Priority Belief Propagation based Inpainting Prediction with Tensor Voting Projected Structure in Video Compression,” IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), vol. 21, no. 8, pp. 1115-1129, Aug. 2011. [PDF] [Bibtex][IEEE Xplore]
  • Yongsheng Zhang, Hongkai Xiong, Z. He, S. Yu, and C. W. Chen, “Reconstruction for Distributed Video Coding: A Context-Adaptive Markov Random Field Approach,” IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), vol. 21, no. 8, pp. 1100-1114, Aug. 2011. [PDF] [Bibtex] [IEEE Xplore]
  • Chenglin Li, Hongkai Xiong, J. Zou, and Z. He, “Joint Source and Flow Optimization for Scalable Video Multi-rate Multicast over Hybrid Wired/Wireless Coded Networks,” IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), vol. 21, no. 5, pp. 550-564, May 2011. [PDF] [Bibtex] [IEEE Xplore]
  • Yongsheng Zhang, Hongkai Xiong, Z. He, S. Yu, and C. W. Chen, “An Error Resilient Video Coding based on Wyner-Ziv Theorem with Decoder Side Non-Stationary Distortion Modeling,” IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), vol. 21, no. 4, pp. 498-512, Apr. 2011. [PDF] [Bibtex] [IEEE Xplore]
  • J. Zou, Hongkai Xiong, Chenglin Li, L. Song, Z. He, and T. Chen, “Prioritized Flow Optimization with Multi-Path and Network Coding Based Routing for Scalable Multirate Multicasting,” IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), vol. 21, no. 3, pp. 259-273, Mar. 2011. [PDF] [Bibtex] [IEEE Xplore]
  • J. Zou, Hongkai Xiong, Chenglin Li, R. Zhang, and Z. He, “Lifetime and Distortion Optimization with Joint Source/Channel Rate Adaptation and Network Coding Based Error-Control in Wireless Video Sensor Networks,” IEEE Transactions on Vehicular Technology, vol. 60, no. 3, pp. 1182-1194, Mar. 2011. [PDF] [Bibtex] [IEEE Xplore]
  • Chenglin Li, J. Zou, Hongkai Xiong, and C. W. Chen, “Joint Coding/Routing Optimization for Distributed Video Sources in Wireless Visual Sensor Networks,” IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), vol. 21, no. 2, pp. 141-155, Feb. 2011. [PDF] [Bibtex] [IEEE Xplore]

Conference Papers

  • Jingtao Chen, Hongkai Xiong, “Super-Resolution Reconstruction with Prior Manifold on Primitive Patches for Video Compression,” IEEE International Workshop on Multimedia Signal Processing (MMSP'11), Hangzhou, China, Oct. 2011. Top 10% Paper Award. [PDF] [Bibtex] [IEEE Xplore]
  • Yongsheng Zhang, Hongkai Xiong, Hao Wang, and C. W. Chen, “Conditional Random Field based Side-Information Fusion for Distributed Multi-view Video Coding,” Visual Communications and Image Processing (VCIP'11), Taiwan, China, Nov. 2011. [PDF] [Bibtex] [IEEE Xplore]
  • Dayu Zheng, Hongkai Xiong, and Y. F. Zheng, “A Structured Learning-based Graph Matching for Dynamic Multiple Object Tracking,” IEEE International Conference on Image Processing (ICIP'11), Brussels, Belgium, Sept. 2011. [PDF] [Bibtex] [IEEE Xplore]
  • Y. Li, J. Zou, and Hongkai Xiong, “Global Correlated Data Gathering in Wireless Sensor Networks with Compressive Sensing and Randomized Gossiping,” IEEE Global Communications Conference (GlobeCOM'11), Huston, USA, Dec. 2011. [PDF] [Bibtex] [IEEE Xplore]
  • Wenrui Dai, Hongkai Xiong, “Bitwise Structured Prediction Model for Lossless Image Coding,” IEEE Data Compression Conference (DCC'11), Snowbird, Utah, USA, Mar. 29-31, 2011. [PDF] [Bibtex] [IEEE Xplore]
  • Lingchen Zhu, Hongkai Xiong, “Iterative Thresholding-based Sparse Directional Representation for Efficient Low Bit-Rate Embedded Video Coding,” IEEE Data Compression Conference (DCC'11), Snowbird, Utah, USA, Mar. 29-31, 2011. [PDF] [Bibtex] [IEEE Xplore]
  • Yang Xu, Hongkai Xiong, and Y. F. Zheng, “Inferring BP Priority Order Using 5D Tensor Voting for Inpainting-based Macroblock Prediction,” IEEE Data Compression Conference (DCC'11), Snowbird, Utah, USA, Mar. 29-31, 2011. [PDF] [Bibtex] [IEEE Xplore]
  • Hongkai Xiong, Zhe Yuan, and Y. F. Zheng, “A Learning-Based Video Compression on Low-Quality Data by Unscented Kalman Filters with Gaussian Process Regression,” IEEE International Symposium on Circuits & Systems (ISCAS'11), Brazil, May 2011. [PDF] [Bibtex] [IEEE Xplore]
  • J. Zou, L. Li, and Hongkai Xiong, “Optimal Layered Multicast with Source Rate Adaption in Two-level Hierarchical Overlay Networks,” IEEE International Conference on Communications (ICC'11), Kyoto, Japan, June 2011. [PDF] [Bibtex] [IEEE Xplore]
  • C. Tan, J. Zou, M. Wang, and Hongkai Xiong, “Correlated Data Gathering on Dynamic Network Coding Policy and Opportunistic Routing in Wireless Sensor Network,” IEEE International Conference on Communications (ICC'11), Kyoto, Japan, June 2011. [PDF] [Bibtex] [IEEE Xplore]
Before 2011

Journal Articles

  • Hongkai Xiong, Hui Lv, Yongsheng Zhang, L. Song, Z. He, and T. Chen, “Subgraphs Matching-Based Side Information Generation for Distributed Multiview Video Coding,” EURASIP Journal on Advances in Signal Processing , vol. 2009, Article ID 386795, doi:10.1155/2009/386795, 17 pages, 2009.
  • Kai Zhang, Hongkai Xiong, X. Zhou, et al., “A Confident Scale-Space Shape Representation Framework for Cell Migration Detection,” Journal of Microscopy-Oxford , vol. 231, no. 3, pp. 395-407, Aug. 2008.
  • C. Luo, J. Sun, Hongkai Xiong, “Monitoring and Troubleshooting in Operational IPTV System,” IEEE Trans. Broadcasting , vol. 53, no. 3, pp. 711-718, Sept. 2007.
  • D. Zhang, W. Zhang, J. Xu, F. Wu, Hongkai Xiong, “A Cross-resolution Leaky Prediction Scheme for In-band Wavelet Video Coding with Spatial Scalability,” IEEE Trans. Circuits and Systems for Video Technology , vol. 18, no. 4, pp. 516-521, Apr. 2008.
  • Z. He, Hongkai Xiong, “Transmission Distortion Analysis for Real-Time Video Encoding and Streaming over Wireless Networks,” IEEE Trans. Circuits and Systems for Video Technology , vol. 16, no. 9, pp. 1051-1062, Sept. 2006.
  • J. Zou, Hongkai Xiong, R. Lin, “A Priority-based Packet Scheduling Architecture for Integrated Services Networks,” IEICE Trans. Communications , vol. E89B, No.3, 2006.
  • Hongkai Xiong, J. Sun, S. Yu, J. Zhou, C. Chen, “Rate Control for Real-Time Video Network Transmission on End-To-End Rate-Distortion and Application-Oriented QoS,” IEEE Trans. Broadcasting , Vol. 51, No. 1, pp. 122-132, Mar. 2005.
  • C. Luo, J. Sun, Hongkai Xiong, “Design and Implementation of an End-to-End System for DTV Multicasting to Home Over Broadband IP Access Network,” IEEE Trans. Broadcastings , Vol. 51, No. 3, pp. 348-353, Sept. 2005.
  • J. Yang ， X. Fang, Hongkai Xiong, “A Joint Rate Control Scheme for H.264 Encoding of Multiple Video Sequences,” IEEE Trans. Consumer Electronics , Vol. 51, No. 2, pp. 617-623, May 2005.
  • L. Song, J. Xu, Hongkai Xiong, F. Wu, “Content Adaptive Update for Lifting-based Motion-Compensated Temporal Filtering,” IEE Electronics Letters , Vol. 41, No. 1, pp.14-16, Jan. 2005.
  • Hongkai Xiong, J. Zou, S. Yu, J. Sun, “Network TV Broadcasting with Multi-Programs on Application-Oriented QoS,” IEICE Trans. Communications , vol. 88-B(6): 2688-2692, 2005.
  • Hongkai Xiong, J. Sun, S. Yu, C. Luo, J. Zhou, “Design and Implementation of Multiplexing Rate Control in Broadband Access Network TV Transmission System,” IEEE Trans. Consumer Electronics , Vol. 50, No. 3, pp. 849-855, Aug. 2004.
  • C. Chen, S. Yu, Hongkai Xiong, “Joint Mode Selection and Rate Control for Video Transmission over Packet Loss Network,” High Technology Letters , Vol. 11, No. 2, pp. 140-145, Jun. 2005.
  • L. Chen, W. Zhang, Hongkai Xiong, “An Error Spreading Scheme for Video Streaming over The Internet,” IEEE Trans. Consumer Electronics , vol. 49, no.5. pp. 990-994, Nov. 2003.
  • Hongkai Xiong, S. Yu, W. Ye, “Implementation of Digital HDTV Encoder with Parallel Sub-picture Encoding Modules and Its Joint Bit-allocation Strategy,” IEEE Trans. Consumer Electronics , vol.48, no.4, pp. 898-907, Nov. 2002.
  • Jin Zhou, Hongkai Xiong, L. Song, S. Yu, “Resynchronization and remultiplexing for transcoding to H.264/AVC,” Journal of Zhejiang University - Science A , no. 7, pp. 76-81, 2006.
  • Xiong H, Songyu Yu, Wei Ye, “A Hierarchical Joint Optimized Bit-allocation Strategy for HDTV Encoder with Parallel Coding Architecture,” Chinese Journal of Electronics, vol. 12, no. 3, pp. 324-329, Jul. 2003.

Conference Papers

  • Zhe Yuan, Hongkai Xiong, Y. F. Zheng, “A Generic Video Coding Framework Based on Anisotropic Diffusion and Spatio-Temporal Completion,” IEEE Int'l Conf. Acoustics, Speech, and Signal Processing ICASSP'2010, Dallas, Texas, U.S.A. Mar. 2010.
  • Yang Xu, Hongkai Xiong, “Optimized Inpainting-based Macroblock Prediction in Video Compression,” IEEE Int'l Symposium on Circuits and Systems ISCAS'2010, Paris, France, May 2010.
  • Chenglin Li, Hongkai Xiong, J. Zou, T. Chen, “A Unified QoS Optimization for Scalable Video Multirate Multicast over Hybrid Coded Network,” IEEE Int'l Conf. Communications ICC' 2010, Cape Town, South Africa, May 2010.
  • J. Zou, C. Tan, R. Zhang, Hongkai Xiong, “Modeling and Optimization of Network Lifetime in Wireless Video Sensor Networks,” IEEE Int'l Conf. Communications ICC' 2010, Cape Town, South Africa, May 2010.
  • Yongsheng Zhang, Hongkai Xiong, Z. He, S. Yu, “Reconstruction for Distributed Video Coding: A Markov Random Field Approach with Context-Adaptive Smoothness Prior,” Visual Communications and Image Processing VCIP'2010, Huang Shan, China, Jul. 2010.
  • Haifeng Li, Hongkai Xiong, L. Qian, “Image super resolution with sparse representation prior on primitive patches,” Visual Communications and Image Processing VCIP'2010, Huang Shan, China, Jul. 2010.
  • L. Jiang, J. Zou, Hongkai Xiong, “Optimization on rate allocation and distortion control for scalable video coding multicast networks,” Visual Communications and Image Processing VCIP'2010, Huang Shan, China, Jul. 2010.
  • Y. Xiong, J. Zou, Hongkai Xiong, “Bandwidth auction for SVC streaming in dynamic multi-overlay,” Visual Communications and Image Processing VCIP'2010, Huang Shan, China, Jul. 2010.
  • Yang Xu, Hongkai Xiong, “Advanced Inpainting-based Macroblock Prediction with Regularized Structure Propagation in Video Compression,” Picture Coding Symposium PCS'2010, Nagoya, Japan, Dec. 2010.
  • Lingchen Zhu, Hongkai Xiong, “Scalable Video Compression Framework with Adaptive Multiresolution Directional Filter Bank Design,” Picture Coding Symposium PCS'2010, Nagoya, Japan, Dec. 2010.
  • Hongkai Xiong, Zhe Yuan, Yang Xu, “A Learning-Based Framework for Low Bit-Rate Image and Video Coding,” IEEE Pacific-Rim Conf. Multimedia PCM' 2009, Thailand, Dec. 2009.
  • Yang Zhao, Hongkai Xiong, Kai Zhang, X. Zhou, “Equilibrium Modeling for 3D Curvilinear Structure Tracking of Confocal Microscopy Images,” IEEE Int'l Conf. Image Processing ICIP'2009, Cairo, Egypt, Nov. 2009.
  • Yongsheng Zhang, Hongkai Xiong, L. Song, S. Yu, “Spatial Non-stationary Correlation Noise Modeling for Wyner-Ziv Error Resilience Error Resilience Video Coding,” IEEE Int'l Conf. Image Processing ICIP'2009, Cairo, Egypt, Nov. 2009.
  • Chenglin Li, J. Zou, Hongkai Xiong, Yongsheng Zhang, “Joint Coding/Routing Optimization for Correlated Sources in Wireless Visual Sensor Networks,” IEEE Global Communications Conference GLOBECOM'2009, Hawaii, USA, Dec. 2009.
  • J. Zou, Hongkai Xiong, L. Song, Z. He, T. Chen, “Prioritized Flow Optimization with Generalized Routing for Scalable Multirate Multicasting,” IEEE Int'l Conf. Communications ICC' 2009, Dresden, Germany, Jun. 2009.
  • Hui Lv, Hongkai Xiong, L. Song, Z. He, T. Chen, “Graph Matching based Side Information Generation for Distributed Multi-view Video Coding,” IEEE Int'l Conf. Communications ICC' 2009, Dresden, Germany, Jun. 2009.
  • Zhe Yuan, Hongkai Xiong, L. Song, Y. F. Zheng, “Generic video coding with abstraction and detail completion,” IEEE Int'l Conf. Acoustics, Speech, and Signal Processing ICASSP'2009, Taiwan, Apr. 2009.
  • J. Zou, L. Li, Hongkai Xiong, “Receiver-driven layered overlay multicast for scalable video streaming,” IEEE Int'l Conf. Multimedia & Expo 2009 ICME'2009 , New York, Jun. 2009.
  • Wenrui Dai, Hongkai Xiong, L. Song, “On Non-sequential Context Modeling with Application to Executable Data Compression,” IEEE Data Compression Conference DCC'2008, Snowbird, Utah, USA, Mar. 25-27, 2008.
  • Hui Lv, Hongkai Xiong, Z. He, “Side Information Generation with Constrained Relaxation for Distributed Multi-View Video Coding,” IEEE Int'l Symposium on Circuits and Systems ISCAS'2008, Seattle, Washington, USA, May 18-21, 2008.
  • Lei Yang, Hongkai Xiong, “Redundant Multiscale Structure Coding for Error Resilient Video Completion,” IEEE Int'l Symposium on Circuits and Systems ISCAS'2008, Seattle, Washington, USA, May 18-21, 2008.
  • Nannan Ma, Hongkai Xiong, L. Song, “2-D Dual Multiresolution Decomposition Through NUDFB and its Application,” IEEE Int'l workshop on multimedia signal processing MMSP'2008, Cairns, Queensland, Australia, Oct. 8-10, 2008.
  • Lelin Zhang, Hongkai Xiong, Yang Zhao, Kai Zhang, X. Zhou, “Computational Graph Model for 3D Cells Tracking in Zebra Fish Datasets,” Int'l Symposium on Computational Models for Life Sciences CMLS'07, Gold Coast, Queensland, Australia, December 17-19, 2007.
  • Kai Zhang, Hongkai Xiong, X. Zhou, S. Wong, “A Simulation-Based 3D Axon Axis Extraction in Confocal Fluorescence Microscopy Images,” IEEE Int'l Symposium on Bio Informatics & Bio Engineering BIBE'2007, Boston, Massachusetts, USA, Oct.14-17, 2007.
  • L. Zhang, Hongkai Xiong, K. Zhang, and X. Zhou, “Graph Theory Application in Cell Nucleus Segmentation, Tracking and Identification,” IEEE Int'l Symposium on Bio Informatics & Bio Engineering BIBE'2007, Boston , Massachusetts , USA, Oct.14-17, 2007.
  • Kai Zhang, Hongkai Xiong, X. Zhou, S. Wong, “A 3D self-adjust region growing method for axon extraction,” IEEE Int'l Conf. Image Processing 2007 ICIP'2007, San Antonio, Texas, USA, Sept. 16-19, 2007.
  • Yang Li, X. Sun, Hongkai Xiong, F. Wu, “Incorporating primal sketch based learning into low bit-rate image compression,” IEEE Int'l Conf. Image Processing 2007 ICIP'2007, San Antonio, Texas, USA, Sept. 16-19, 2007.
  • Yongsheng Zhang, Hongkai Xiong, S. Yu, Hui Lv, “A source-driven error recovery scheme using Wyner-Ziv coding,” IEEE Int'l Conf. Multimedia & Expo 2007 ICME'2007 , Jul. 2007.
  • Kai Zhang, Hongkai Xiong, Lei Yang, X. Zhou, “A Novel Coarse-to-Fine Adaptation Segmentation Approach for Cellular Image Analysis,” Int'l Multimedia Modeling Conference 2007 MMM'2007, Singapore, Jan. 9-12, 2007. Lecture notes in Computer Society.
  • C. Zhang, S. Yu, H. Yang, Hongkai Xiong, “Cross-layer frame discarding for cellular video coding,” IEEE Int'l Conf. Acoustics, Speech, and Signal Processing ICASSP'2007, 2007, Honolulu, Hawaii, USA, Apr. 2007.
  • Yang Li, Hongkai Xiong, L. Song, S. Yu, “A context-based error detection strategy into H.264/AVC CABAC,” Int'l Conf. Multimedia & Expo ICME'2006, Toronto, Canada, July 9-12, 2006.
  • Chen Wang, X. Sun, F. Wu, Hongkai Xiong, “Image Compression with Structure-Aware Inpainting,” IEEE Int'l Symposium on Circuits and Systems ISCAS'2006, Island of Kos, Greece, May 21-24, 2006.
  • Jia Ma, Hongkai Xiong, L. Song, S. Yu, “An Unequal Error Protection in ROI for H.264,” Picture Coding Symposium PCS'2006, Beijing, China, Apr. 24-26, 2006.
  • Yihua Chen, J. Xu, F. Wu, Hongkai Xiong, “Quality-fluctuation-constrained rate allocation for MCTF-based video coding,” Visual Communications and Image Processing SPIE/EI VCIP'2006, San Jose, California, USA, Jan. 2006.
  • Z. He, D. Janak, Hongkai Xiong, “Transmission distortion modeling for wireless video communication,” Proceedings of Globecom 2005, Saint Louis, MO, pp. 2425-2428.
  • L. Song, Hongkai Xiong, J. Xu, F. Wu, H. Su, “Adaptive Predict Based on Fading Compensation for Motion Compensated Temporal Filtering,” Proc. IEEE Int'l Conf. Acoustics, Speech, and Signal Processing ICASSP'2005, Philadelphia , USA , Mar. 2005.
  • J. Yang, X. Fang, Hongkai Xiong, “Joint Rate Control for Multiple Sequences Coding based on H.264 Standard,” IEEE Int'l Conf. Multimedia & Expo ICME'2005, Amsterdam, Netherlands, July 6-8, 2005.
  • Haohao Song, S. Yu, L. Song, Hongkai Xiong, “Contourlet Image Coding Based on Adjusted SPIHT,” 2005 Pacific-Rim Conf. Multimedia PCM'2005, Jeju, Korea, Nov. 13-16, 2005.
  • Dongdong Zhang, J. Xu, F. Wu, W. Zhang, Hongkai Xiong, “A Cross-resolution Leaky Prediction Scheme for In-band Wavelet Video Coding with Spatial Scalability,” Pacific-Rim Conf. Multimedia PCM'2005, Jeju, Korea, Nov. 13-16, 2005.
  • Dongdong Zhang, W. Zhang, L. Song, Hongkai Xiong, “A Study on Motion Prediction and Coding for In-band Motion Compensated Temporal Filtering,” Int'l Conf. Computational Intelligence and Security CIS'2005, Xi'an, China, Dec.15~19, 2005.
  • Yihua Chen, J. Xu, F. Wu, Hongkai Xiong, “An Improved Update Operator for H.264 Scalable Extension,” IEEE Int'l workshop on multimedia signal processing MMSP'2005, Oct 30~Nov. 2, Shanghai, P.R.China.
  • Haohao Song, S. Yu, L. Song, Hongkai Xiong, “A High-Efficient Significant Coefficient Scanning Algorithm for 3-D Embedded Wavelet Video Coding,” Visual Communication and Image Processing VCIP'2005 Int'l Symposium, Beijing, China, Oct. 2005.
  • Dongdong Zhang, J. Xu, F. Wu, W. Zhang, Hongkai Xiong, “Mode-based Temporal Filtering for In-band Wavelet Video Coding with Spatial Scalability,” Visual Communication and Image Processing VCIP'2005 Int'l Symposium, Beijing, China, Oct. 2005.
  • L. Song, Hongkai Xiong, F. Wu and H. Chen, “Adaptive Update using Visual Models for Lifting-based Motion Compensated Temporal Filtering,” IS&T/SPIE Electronic Imaging SPIE/IS&T'2005, pp. 5685-112, San Jose, CA, USA, Jan. 16-20, 2005.
  • L. Song, J. Xu, Hongkai Xiong, F. Wu, “Content Adaptive Update Steps for Lifting-Based Motion Compensated Temporal Filtering,” Picture Coding Symposium PCS'2004, San Francisco, CA, USA, Dec. 2004.
  • C. Luo, J. Sun, Hongkai Xiong, J. Zhou, “Design and Implementation of an end-to-end system importing DTV from broadcasting network to broadband IP network,” Proc. IEEE Asia-Pacific Conf. Circuits and Systems APCCAS'2004, pp. 777-780, Dec. 6-9, 2004.

Books

  • 熊红凯、孙军等，数字电视信源编码技术与应用 , 电子工业出版社,2012.

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