Zheng, Zhong

10 publications

ICLR 2025 Federated $q$-Learning with Reference-Advantage Decomposition: Almost Optimal Regret and Logarithmic Communication Cost Zhong Zheng, Haochen Zhang, Lingzhou Xue

ICML 2025 Gap-Dependent Bounds for Federated $q$-Learning Haochen Zhang, Zhong Zheng, Lingzhou Xue

ICLR 2025 Gap-Dependent Bounds for Q-Learning Using Reference-Advantage Decomposition Zhong Zheng, Haochen Zhang, Lingzhou Xue

AAAI 2025 Neural Block Compression: Variable Bitrates Feature Blocks for Texture Representation Rui Shi, Yishun Dou, Zhong Zheng, Xiangzhong Fang, Wenjun Zhang, Bingbing Ni

NeurIPS 2025 Regret-Optimal Q-Learning with Low Cost for Single-Agent and Federated Reinforcement Learning Haochen Zhang, Zhong Zheng, Lingzhou Xue

CVPR 2024 Differentiable Micro-Mesh Construction Yishun Dou, Zhong Zheng, Qiaoqiao Jin, Rui Shi, Yuhan Li, Bingbing Ni

ICLR 2024 Federated Q-Learning: Linear Regret Speedup with Low Communication Cost Zhong Zheng, Fengyu Gao, Lingzhou Xue, Jing Yang

CVPR 2024 Real-Time Neural BRDF with Spherically Distributed Primitives Yishun Dou, Zhong Zheng, Qiaoqiao Jin, Bingbing Ni, Yugang Chen, Junxiang Ke

CVPR 2023 Multiplicative Fourier Level of Detail Yishun Dou, Zhong Zheng, Qiaoqiao Jin, Bingbing Ni

CVPRW 2023 NTIRE 2023 Video Colorization Challenge Xiaoyang Kang, Xianhui Lin, Kai Zhang, Zheng Hui, Wangmeng Xiang, Jun-Yan He, Xiaoming Li, Peiran Ren, Xuansong Xie, Radu Timofte, Yixin Yang, Jinshan Pan, Zhong Zheng, Peng Qiyan, Jiangxin Zhang, Jinhui Dong, Jinjing Tan, Chi-Chen Lin, Lin Qipei Li, Qirong Liang, Ruipeng Gang, Xiaofeng Liu, Shuang Feng, Shuai Liu, Hao Wang, Chaoyu Feng, Furui Bai, Yuqian Zhang, Guangqi Shao, Xiaotao Wang, Lei Lei, Siqi Chen, Yu Zhang, Hanning Xu, Zheyuan Liu, Zhao Zhang, Yan Luo, Zhichao Zuo