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Latest News
Hao Zhang's paper was accepted by IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2024.
2024-12-04
Guanghao Zheng's paper was accepted by Thirty-eighth Annual Conference on Neural Information Processing Systems (NeurIPS 2024), Vancouver, Canada, Dec. 2024.
2024-09-26
Hao Zhang's paper was accepted by Thirty-eighth Annual Conference on Neural Information Processing Systems (NeurIPS 2024), Vancouver, Canada, Dec. 2024.
2024-09-26
Hao Zhang's paper was accepted by IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
2024-09-13
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
Neural Network Quantization
Network Architecture Searching
Reinforcement Learning
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Multimedia Communicati...
Adaptive Video Streaming
360-Degree Video Streaming System
Adaptive Streaming for Point Clouds
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Biomedical Informatics
Distributed Learning
Homomorphic Encryption
Computer Aided Medical Diagnosis
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Paper publication
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.
Improving Generalization in Federated Learning with Model-Data Mutual Information Regularization: A Posterior Inference Approach
Hao Zhang, Chenglin Li, Nuowen Kan, Ziyang Zheng, Wenrui Dai, Junni Zou, Hongkai Xiong, Thirty-eighth Annual Conference on Neural Information Processing Systems (NeurIPS 2024), Vancouver, Canada, Dec. 2024.
Stabilizing and Accelerating Federated Learning on Heterogeneous Data with Partial Client Participation
Hao Zhang, Chenglin Li, Wenrui Dai, Ziyang Zheng, Junni Zou, Hongkai Xiong, accepted by IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024.
MENSA: Multi-dataset Harmonized Pretraining for Semantic Segmentation
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.