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Latest News
Wen Fei's paper was accepted by IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025.
2024-12-31
Shaohui Li's paper was accepted by IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2024.
2024-12-29
Wenqiang Xu's paper was accepted by IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2025), Hyderabad, India, Apr. 2025
2024-12-29
Hao Zhang's paper was accepted by IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2024.
2024-12-04
Laboratory research direction
Signal Processing
Signal Representation
Graph Signal Processing
Image and Video Compression
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Computer Vision
Unsupervised Learning
Spherical Image Processing
Object Localization and Tracking
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Machine Learning
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Adaptive Video Streaming
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Paper publication
Latent Weight Quantization for Integerized Training of Deep Neural Networks
Wen Fei, Wenrui Dai, Liang Zhang, Luoming Zhang, Chenglin Li, Junni Zou, Hongkai Xiong, accepted by IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025.
Task-Adapted Learnable Embedded Quantization for Scalable Human-Machine Image Compression
Shaohui Li, Shuoyu Ma, Wenrui Dai, Nuowen Kan, Fan Cheng, Chenglin Li, Junni Zou, Hongkai Xiong, accepted by IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2024.
Point Cloud Resampling with Learnable Heat Diffusion
Wenqiang Xu, Wenrui Dai, Duoduo Xue, Ziyang Zheng, Chenglin Li, Junni Zou, Hongkai Xiong, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2025), Hyderabad, India, Apr. 2025.
Federated Learning Based on Model Discrepancy and Variance Reduction
Hao Zhang, Chenglin Li, Wenrui Dai, Junni Zou, Hongkai Xiong, accepted by IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2024.
MC-DiT: Contextual Enhancement via Clean-to-Clean Reconstruction for Masked Diffusion Models
Guanghao Zheng, Yuchen Liu, Wenrui Dai, Chenglin Li, Junni Zou, Hongkai Xiong, Thirty-eighth Annual Conference on Neural Information Processing Systems (NeurIPS 2024), Vancouver, Canada, Dec. 2024.