Multicategory large margin classification methods: Hinge losses vs. coherence functions. - Zhihua Zhang 004; Cheng Chen 015; Guang Dai; Wu-Jun Li; Dit-Yan Yeung (Artif. Intell., 2014)

A Parallel algorithm for $ mathcal{X}$-Armed bandits. - Cheng Chen 015; Shuang Liu; Zhihua Zhang 004; Wu-Jun Li (CoRR, 2015)

Distributed Multi-Armed Bandits: Regret vs. Communication. - Shuang Liu; Cheng Chen 015; Zhihua Zhang 004 (CoRR, 2015)

Online Learning Via Regularized Frequent Directions. - Luo Luo; Cheng Chen 015; Zhihua Zhang 004; Wu-Jun Li (CoRR, 2017)

Fast Fisher discriminant analysis with randomized algorithms. - Haishan Ye; Yujun Li; Cheng Chen 015; Zhihua Zhang 004 (Pattern Recognit., 2017)

A Stochastic Proximal Point Algorithm for Saddle-Point Problems. - Luo Luo; Cheng Chen 015; Yujun Li; Guangzeng Xie; Zhihua Zhang 004 (CoRR, 2019)

Robust Frequent Directions with Application in Online Learning. - Luo Luo; Cheng Chen 015; Zhihua Zhang 004; Wu-Jun Li; Tong Zhang 001 (J. Mach. Learn. Res., 2019)

Efficient Spectrum-Revealing CUR Matrix Decomposition. - Cheng Chen 015; Ming Gu; Zhihua Zhang 004; Weinan Zhang 001; Yong Yu 001 (AISTATS, 2020)

Efficient and Robust High-Dimensional Linear Contextual Bandits. - Cheng Chen 015; Luo Luo; Weinan Zhang 001; Yong Yu 001; Yijiang Lian (IJCAI, 2020)

Efficient Projection-free Algorithms for Saddle Point Problems. - Cheng Chen 015; Luo Luo; Weinan Zhang 001; Yong Yu 001 (NeurIPS, 2020)

Large-Scale Optimal Transport via Adversarial Training with Cycle-Consistency. - Guansong Lu; Zhiming Zhou 001; Jian Shen 003; Cheng Chen 015; Weinan Zhang 001; Yong Yu 001 (CoRR, 2020)

A Branch-and-Bound Algorithm for Computing the Reliable Isolated Zeros of Multivariate Polynomial Functions Systems. - Cheng Chen 015; Liangyu Chen 001; Zhenbing Zeng; Dang Lin (HPCC/DSS/SmartCity/DependSys, 2021)

Using Surrounding Text of Formula towards More Accurate Mathematical Information Retrieval. - Cheng Chen 015; Yifan Dai; Yuqi Shen; Jinfang Cai; Liangyu Chen 001 (SEKE, 2021)

A Hybrid Model Combining Formulae with Keywords for Mathematical Information Retrieval. - Yuqi Shen; Cheng Chen 015; Yifan Dai; Jinfang Cai; Liangyu Chen 001 (Int. J. Softw. Eng. Knowl. Eng., 2021)

Simultaneously Learning Stochastic and Adversarial Bandits under the Position-Based Model. - Cheng Chen 015; Canzhe Zhao; Shuai Li 010 (AAAI, 2022)

Online Active Regression. - Cheng Chen 015; Yi Li 002; Yiming Sun (ICML, 2022)

Finding Second-Order Stationary Points in Nonconvex-Strongly-Concave Minimax Optimization. - Luo Luo; Yujun Li; Cheng Chen 015 (NeurIPS, 2022)

Efficient policy evaluation by matrix sketching. - Cheng Chen 015; Weinan Zhang 001; Yong Yu 001 (Frontiers Comput. Sci., 2022)

Block Broyden's Methods for Solving Nonlinear Equations. - Chengchang Liu; Cheng Chen 015; Luo Luo; John C. S. Lui (NeurIPS, 2023)

Boosting Verification of Deep Reinforcement Learning via Piece-Wise Linear Decision Neural Networks. - Jiaxu Tian; Dapeng Zhi; Si Liu 003; Peixin Wang; Cheng Chen 015; Min Zhang 002 (NeurIPS, 2023)

FedMR: Federated Learning via Model Recombination. - Ming Hu 003; Zhihao Yue; Zhiwei Ling; Yihao Huang 001; Cheng Chen 015; Xian Wei; Yang Liu 003; Mingsong Chen 001 (CoRR, 2023)

Adversarial Attacks on Cooperative Multi-agent Bandits. - Jinhang Zuo; Zhiyao Zhang; Xuchuang Wang; Cheng Chen 015; Shuai Li 010; John C. S. Lui; Mohammad Hajiesmaili; Adam Wierman (CoRR, 2023)

Robustness Verification of Deep Reinforcement Learning Based Control Systems Using Reward Martingales. - Dapeng Zhi; Peixin Wang; Cheng Chen 015; Min Zhang 002 (AAAI, 2024)

Zeroth-Order Methods for Constrained Nonconvex Nonsmooth Stochastic Optimization. - Zhuanghua Liu; Cheng Chen 015; Luo Luo; Bryan Kian Hsiang Low (ICML, 2024)

Is Aggregation the Only Choice? Federated Learning via Layer-wise Model Recombination. - Ming Hu 003; Zhihao Yue; Xiaofei Xie; Cheng Chen 015; Yihao Huang 001; Xian Wei; Xiang Lian 001; Yang Liu 003; Mingsong Chen 001 (KDD, 2024)

Approximate Matrix Multiplication over Sliding Windows. - Ziqi Yao; Lianzhi Li; Mingsong Chen 001; Xian Wei; Cheng Chen 015 (KDD, 2024)

Few-Shot Diffusion Models Escape the Curse of Dimensionality. - Ruofeng Yang; Bo Jiang; Cheng Chen 015; Ruinan Jin; Baoxiang Wang 001; Shuai Li 010 (NeurIPS, 2024)

Optimal Approximate Matrix Multiplication over Sliding Windows. - Ziqi Yao; Mingsong Chen 001; Cheng Chen 015 (CoRR, 2025)

Panda: partially approximate newton methods for distributed minimax optimization with unbalanced dimensions. - Minheng Xiao; Chengchang Liu; Cheng Chen 015; John C. S. Lui; Sen Na (Mach. Learn., 2025)