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27 2025-02

Yuyang Huang's paper was accepted by The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2025), Nashville TN, USA, June 2025
27 2025-02

Shouhang Zhu's paper was accepted by The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2025), Nashville TN, USA, June 2025
27 2025-02

Hongwei Zheng's paper was accepted by The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2025), Nashville TN, USA, June 2025
26 2025-02

Shaohui Li's paper was accepted by IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2025

Learnable Non-uniform Quantization with Sampling-based Optimization for Variable-Rate Learned Image Compression
20 2025-02

Duoduo Xue's paper was accepted by IEEE Transactions on Signal Processing (TSP), 2025

Generalized Quantum State Tomography with Hybrid Denoising Priors
23 2025-01

Duoduo Xue's paper was accepted by IEEE International Symposium on Circuits and Systems (ISCAS 2025), London, UK, May 2025

Fourier Phase Retrieval with Diffusion Priors Guided by Failure Detection
23 2025-01

Han Li's paper was accepted by International Conference on Learning Representations (ICLR 2025), Singapore, Apr. 2025

On Disentangled Training for Nonlinear Transform in Learned Image Compression
18 2025-01

Nuowen Kan's paper was accepted by IEEE/ACM Transactions on Networking (TON), 2025.

“GDPlan: Generative Network Planning via Graph Diffusion Model
31 2024-12

Wen Fei's paper was accepted by IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025.
29 2024-12

Shaohui Li's paper was accepted by IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2024.

Task-Adapted Learnable Embedded Quantization for Scalable Human-Machine Image Compression
29 2024-12

Wenqiang Xu's paper was accepted by IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2025), Hyderabad, India, Apr. 2025
04 2024-12

Hao Zhang's paper was accepted by IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 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.