Server-Side Rate Adaptation for Multi-User 360-Degree Video Streaming. - Chengming Liu; Nuowen Kan; Junni Zou; Qin Yang 002; Hongkai Xiong (ICIP, 2018)

Deep Reinforcement Learning-based Rate Adaptation for Adaptive 360-Degree Video Streaming. - Nuowen Kan; Junni Zou; Kexin Tang; Chenglin Li; Ning Liu; Hongkai Xiong (ICASSP, 2019)

A Server-Side Optimized Hybrid Multicast-Unicast Strategy for Multi-User Adaptive 360-Degree Video Streaming. - Nuowen Kan; Chengming Liu; Junni Zou; Chenglin Li; Hongkai Xiong (ICIP, 2019)

Multiuser Video Streaming Rate Adaptation: A Physical Layer Resource-Aware Deep Reinforcement Learning Approach. - Kexin Tang; Nuowen Kan; Junni Zou; Xiao Fu 001; Mingyi Hong 001; Hongkai Xiong (VCIP, 2019)

Uncertainty-aware robust adaptive video streaming with bayesian neural network and model predictive control. - Nuowen Kan; Chenglin Li; Caiyi Yang; Wenrui Dai; Junni Zou; Hongkai Xiong (NOSSDAV, 2021)

Multi-User Adaptive Video Delivery Over Wireless Networks: A Physical Layer Resource-Aware Deep Reinforcement Learning Approach. - Kexin Tang; Nuowen Kan; Junni Zou; Chenglin Li; Xiao Fu 001; Mingyi Hong 001; Hongkai Xiong (IEEE Trans. Circuits Syst. Video Technol., 2021)

Improving Generalization for Neural Adaptive Video Streaming via Meta Reinforcement Learning. - Nuowen Kan; Yuankun Jiang; Chenglin Li; Wenrui Dai; Junni Zou; Hongkai Xiong (ACM Multimedia, 2022)

RAPT360: Reinforcement Learning-Based Rate Adaptation for 360-Degree Video Streaming With Adaptive Prediction and Tiling. - Nuowen Kan; Junni Zou; Chenglin Li; Wenrui Dai; Hongkai Xiong (IEEE Trans. Circuits Syst. Video Technol., 2022)

Doubly Robust Augmented Transfer for Meta-Reinforcement Learning. - Yuankun Jiang; Nuowen Kan; Chenglin Li; Wenrui Dai; Junni Zou; Hongkai Xiong (NeurIPS, 2023)

Task-Oriented Multi-Bitstream Optimization for Image Compression and Transmission via Optimal Transport. - Sa Yan; Nuowen Kan; Chenglin Li; Wenrui Dai; Junni Zou; Hongkai Xiong (ACM Multimedia, 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 (NeurIPS, 2024)

Successor Feature-Based Transfer Reinforcement Learning for Video Rate Adaptation With Heterogeneous QoE Preferences. - Kexin Tang; Nuowen Kan; Yuankun Jiang; Chenglin Li; Wenrui Dai; Junni Zou; Hongkai Xiong (IEEE Trans. Multim., 2024)

Stabilizing and Accelerating Autofocus with Expert Trajectory Regularized Deep Reinforcement Learning. - Shouhang Zhu; Chenglin Li; Yuankun Jiang; Li Wei; Nuowen Kan; Ziyang Zheng; Wenrui Dai; Junni Zou; Hongkai Xiong (CVPR, 2025)

On Disentangled Training for Nonlinear Transform in Learned Image Compression. - Han Li; Shaohui Li; Wenrui Dai; Maida Cao; Nuowen Kan; Chenglin Li; Junni Zou; Hongkai Xiong (ICLR, 2025)

Task-Adapted Learnable Embedded Quantization for Scalable Human-Machine Image Compression. - Shaohui Li; Shuoyu Ma; Wenrui Dai; Nuowen Kan; Fan Cheng 002; Chenglin Li; Junni Zou; Hongkai Xiong (IEEE Trans. Circuits Syst. Video Technol., 2025)

Noise Conditional Variational Score Distillation. - Xinyu Peng; Ziyang Zheng; Yaoming Wang; Han Li; Nuowen Kan; Wenrui Dai; Chenglin Li; Junni Zou; Hongkai Xiong (CoRR, 2025)

3DGabSplat: 3D Gabor Splatting for Frequency-adaptive Radiance Field Rendering. - Junyu Zhou; Yuyang Huang; Wenrui Dai; Junni Zou; Ziyang Zheng; Nuowen Kan; Chenglin Li; Hongkai Xiong (CoRR, 2025)

Learnable Non-Uniform Quantization With Sampling-Based Optimization for Variable-Rate Learned Image Compression. - Shaohui Li; Wenrui Dai; Nuowen Kan; Chenglin Li; Junni Zou; Hongkai Xiong (IEEE Trans. Circuits Syst. Video Technol., 2025)