Cheng Chen

According to our database, Cheng Chen authored at least 26 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Approximate Matrix Multiplication over Sliding Windows.

Ziqi Yao, Lianzhi Li, Mingsong Chen, Xian Wei, Cheng Chen

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Is Aggregation the Only Choice? Federated Learning via Layer-wise Model Recombination.

Ming Hu, Zhihao Yue, Xiaofei Xie, Cheng Chen, Yihao Huang, Xian Wei, Xiang Lian, Yang Liu, Mingsong Chen

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Zeroth-Order Methods for Constrained Nonconvex Nonsmooth Stochastic Optimization.

Zhuanghua Liu, Cheng Chen, Luo Luo, Bryan Kian Hsiang Low

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Robustness Verification of Deep Reinforcement Learning Based Control Systems Using Reward Martingales.

Dapeng Zhi, Peixin Wang, Cheng Chen, Min Zhang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Adversarial Attacks on Cooperative Multi-agent Bandits.

Jinhang Zuo, Zhiyao Zhang, Xuchuang Wang, Cheng Chen, Shuai Li, John C. S. Lui, Mohammad Hajiesmaili, Adam Wierman

CoRR, 2023

FedMR: Federated Learning via Model Recombination.

Ming Hu, Zhihao Yue, Zhiwei Ling, Yihao Huang, Cheng Chen, Xian Wei, Yang Liu, Mingsong Chen

CoRR, 2023

Boosting Verification of Deep Reinforcement Learning via Piece-Wise Linear Decision Neural Networks.

Jiaxu Tian, Dapeng Zhi, Si Liu, Peixin Wang, Cheng Chen, Min Zhang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Block Broyden's Methods for Solving Nonlinear Equations.

Chengchang Liu, Cheng Chen, Luo Luo, John C. S. Lui

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Efficient policy evaluation by matrix sketching.

Cheng Chen, Weinan Zhang, Yong Yu

Frontiers Comput. Sci., October, 2022

Finding Second-Order Stationary Points in Nonconvex-Strongly-Concave Minimax Optimization.

Luo Luo, Yujun Li, Cheng Chen

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Online Active Regression.

Cheng Chen, Yi Li, Yiming Sun

Proceedings of the International Conference on Machine Learning, 2022

Simultaneously Learning Stochastic and Adversarial Bandits under the Position-Based Model.

Cheng Chen, Canzhe Zhao, Shuai Li

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

A Hybrid Model Combining Formulae with Keywords for Mathematical Information Retrieval.

Yuqi Shen, Cheng Chen, Yifan Dai, Jinfang Cai, Liangyu Chen

Int. J. Softw. Eng. Knowl. Eng., 2021

Using Surrounding Text of Formula towards More Accurate Mathematical Information Retrieval.

Cheng Chen, Yifan Dai, Yuqi Shen, Jinfang Cai, Liangyu Chen

Proceedings of the 33rd International Conference on Software Engineering and Knowledge Engineering, 2021

A Branch-and-Bound Algorithm for Computing the Reliable Isolated Zeros of Multivariate Polynomial Functions Systems.

Cheng Chen, Liangyu Chen, Zhenbing Zeng, Dang Lin

Proceedings of the 2021 IEEE 23rd Int Conf on High Performance Computing & Communications; 7th Int Conf on Data Science & Systems; 19th Int Conf on Smart City; 7th Int Conf on Dependability in Sensor, 2021

2020

Large-Scale Optimal Transport via Adversarial Training with Cycle-Consistency.

Guansong Lu, Zhiming Zhou, Jian Shen, Cheng Chen, Weinan Zhang, Yong Yu

CoRR, 2020

Efficient Projection-free Algorithms for Saddle Point Problems.

Cheng Chen, Luo Luo, Weinan Zhang, Yong Yu

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Efficient and Robust High-Dimensional Linear Contextual Bandits.

Cheng Chen, Luo Luo, Weinan Zhang, Yong Yu, Yijiang Lian

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Efficient Spectrum-Revealing CUR Matrix Decomposition.

Cheng Chen, Ming Gu, Zhihua Zhang, Weinan Zhang, Yong Yu

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Robust Frequent Directions with Application in Online Learning.

Luo Luo, Cheng Chen, Zhihua Zhang, Wu-Jun Li, Tong Zhang

J. Mach. Learn. Res., 2019

A Stochastic Proximal Point Algorithm for Saddle-Point Problems.

Luo Luo, Cheng Chen, Yujun Li, Guangzeng Xie, Zhihua Zhang

CoRR, 2019

2017

Fast Fisher discriminant analysis with randomized algorithms.

Haishan Ye, Yujun Li, Cheng Chen, Zhihua Zhang

Pattern Recognit., 2017

Online Learning Via Regularized Frequent Directions.

Luo Luo, Cheng Chen, Zhihua Zhang, Wu-Jun Li

CoRR, 2017

2015

Distributed Multi-Armed Bandits: Regret vs. Communication.

Shuang Liu, Cheng Chen, Zhihua Zhang

CoRR, 2015

A Parallel algorithm for $\mathcal{X}$-Armed bandits.

Cheng Chen, Shuang Liu, Zhihua Zhang, Wu-Jun Li

CoRR, 2015

2014

Multicategory large margin classification methods: Hinge losses vs. coherence functions.

Zhihua Zhang, Cheng Chen, Guang Dai, Wu-Jun Li, Dit-Yan Yeung

Artif. Intell., 2014