Cheng Chen - RankMe

35 papers A* 13A 1C 1Journal 19Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	ATA: An Abstract-Train-Abstract approach for explanation-friendly deep reinforcement learning. Neural Networks Shi Peng, Si Liu, Dapeng Zhi, Peixin Wang, Chenyang Xu, Cheng Chen, Min Zhang
2025	A*	`conf`	Improved Discretization Complexity Analysis of Consistency Models: Variance Exploding Forward Process and Decay Discretization Scheme. ICML Ruofeng Yang, Bo Jiang, Cheng Chen, Shuai Li
2025	J	`jnl`	Optimal Approximate Matrix Multiplication over Sliding Windows. CoRR Ziqi Yao, Mingsong Chen, Cheng Chen
2025	J	`jnl`	Panda: partially approximate newton methods for distributed minimax optimization with unbalanced dimensions. Mach. Learn. Minheng Xiao, Chengchang Liu, Cheng Chen, John C. S. Lui, Sen Na
2024	A*	`conf`	Approximate Matrix Multiplication over Sliding Windows. KDD Ziqi Yao, Lianzhi Li, Mingsong Chen, Xian Wei, Cheng Chen
2024	A*	`conf`	Few-Shot Diffusion Models Escape the Curse of Dimensionality. NeurIPS Ruofeng Yang, Bo Jiang, Cheng Chen, Ruinan Jin, Baoxiang Wang, Shuai Li
2024	A*	`conf`	Is Aggregation the Only Choice? Federated Learning via Layer-wise Model Recombination. KDD Ming Hu, Zhihao Yue, Xiaofei Xie, Cheng Chen, Yihao Huang, Xian Wei, Xiang Lian, Yang Liu, Mingsong Chen
2024	A*	`conf`	Robustness Verification of Deep Reinforcement Learning Based Control Systems Using Reward Martingales. AAAI Dapeng Zhi, Peixin Wang, Cheng Chen, Min Zhang
2024	A*	`conf`	Zeroth-Order Methods for Constrained Nonconvex Nonsmooth Stochastic Optimization. ICML Zhuanghua Liu, Cheng Chen, Luo Luo, Bryan Kian Hsiang Low
2023	J	`jnl`	Adversarial Attacks on Cooperative Multi-agent Bandits. CoRR Jinhang Zuo, Zhiyao Zhang, Xuchuang Wang, Cheng Chen, Shuai Li, John C. S. Lui, Mohammad Hajiesmaili, Adam Wierman
2023	A*	`conf`	Block Broyden's Methods for Solving Nonlinear Equations. NeurIPS Chengchang Liu, Cheng Chen, Luo Luo, John C. S. Lui
2023	A*	`conf`	Boosting Verification of Deep Reinforcement Learning via Piece-Wise Linear Decision Neural Networks. NeurIPS Jiaxu Tian, Dapeng Zhi, Si Liu, Peixin Wang, Cheng Chen, Min Zhang
2023	J	`jnl`	FedMR: Federated Learning via Model Recombination. CoRR Ming Hu, Zhihao Yue, Zhiwei Ling, Yihao Huang, Cheng Chen, Xian Wei, Yang Liu, Mingsong Chen
2023	J	`jnl`	Robustness Verification of Deep Reinforcement Learning Based Control Systems using Reward Martingales. CoRR Dapeng Zhi, Peixin Wang, Cheng Chen, Min Zhang
2022	J	`jnl`	Efficient policy evaluation by matrix sketching. Frontiers Comput. Sci. Cheng Chen, Weinan Zhang, Yong Yu
2022	A*	`conf`	Finding Second-Order Stationary Points in Nonconvex-Strongly-Concave Minimax Optimization. NeurIPS Luo Luo, Yujun Li, Cheng Chen
2022	A*	`conf`	Online Active Regression. ICML Cheng Chen, Yi Li, Yiming Sun
2022	J	`jnl`	Online Active Regression. CoRR Cheng Chen, Yi Li, Yiming Sun
2022	A*	`conf`	Simultaneously Learning Stochastic and Adversarial Bandits under the Position-Based Model. AAAI Cheng Chen, Canzhe Zhao, Shuai Li
2022	J	`jnl`	Simultaneously Learning Stochastic and Adversarial Bandits under the Position-Based Model. CoRR Cheng Chen, Canzhe Zhao, Shuai Li
2021	—	`conf`	A Branch-and-Bound Algorithm for Computing the Reliable Isolated Zeros of Multivariate Polynomial Functions Systems. HPCC/DSS/SmartCity/DependSys Cheng Chen, Liangyu Chen, Zhenbing Zeng, Dang Lin
2021	J	`jnl`	A Hybrid Model Combining Formulae with Keywords for Mathematical Information Retrieval. Int. J. Softw. Eng. Knowl. Eng. Yuqi Shen, Cheng Chen, Yifan Dai, Jinfang Cai, Liangyu Chen
2021	C	`conf`	Using Surrounding Text of Formula towards More Accurate Mathematical Information Retrieval. SEKE Cheng Chen, Yifan Dai, Yuqi Shen, Jinfang Cai, Liangyu Chen
2020	J	`jnl`	Efficient Projection-Free Algorithms for Saddle Point Problems. CoRR Cheng Chen, Luo Luo, Weinan Zhang, Yong Yu
2020	A*	`conf`	Efficient Projection-free Algorithms for Saddle Point Problems. NeurIPS Cheng Chen, Luo Luo, Weinan Zhang, Yong Yu
2020	A	`conf`	Efficient Spectrum-Revealing CUR Matrix Decomposition. AISTATS Cheng Chen, Ming Gu, Zhihua Zhang, Weinan Zhang, Yong Yu
2020	A*	`conf`	Efficient and Robust High-Dimensional Linear Contextual Bandits. IJCAI Cheng Chen, Luo Luo, Weinan Zhang, Yong Yu, Yijiang Lian
2020	J	`jnl`	Large-Scale Optimal Transport via Adversarial Training with Cycle-Consistency. CoRR Guansong Lu, Zhiming Zhou, Jian Shen, Cheng Chen, Weinan Zhang, Yong Yu
2019	J	`jnl`	A Stochastic Proximal Point Algorithm for Saddle-Point Problems. CoRR Luo Luo, Cheng Chen, Yujun Li, Guangzeng Xie, Zhihua Zhang
2019	J	`jnl`	Robust Frequent Directions with Application in Online Learning. J. Mach. Learn. Res. Luo Luo, Cheng Chen, Zhihua Zhang, Wu-Jun Li, Tong Zhang
2017	J	`jnl`	Fast Fisher discriminant analysis with randomized algorithms. Pattern Recognit. Haishan Ye, Yujun Li, Cheng Chen, Zhihua Zhang
2017	J	`jnl`	Online Learning Via Regularized Frequent Directions. CoRR Luo Luo, Cheng Chen, Zhihua Zhang, Wu-Jun Li
2015	J	`jnl`	A Parallel algorithm for $\mathcal{X}$-Armed bandits. CoRR Cheng Chen, Shuang Liu, Zhihua Zhang, Wu-Jun Li
2015	J	`jnl`	Distributed Multi-Armed Bandits: Regret vs. Communication. CoRR Shuang Liu, Cheng Chen, Zhihua Zhang
2014	J	`jnl`	Multicategory large margin classification methods: Hinge losses vs. coherence functions. Artif. Intell. Zhihua Zhang, Cheng Chen, Guang Dai, Wu-Jun Li, Dit-Yan Yeung