Optimal Adversarial Attack on Autoregressive Models. - Yiding Chen; Xiaojin Zhu 001 (CoRR, 2019)

Error Lower Bounds of Constant Step-size Stochastic Gradient Descent. - Zhiyan Ding; Yiding Chen; Qin Li 007; Xiaojin Zhu 001 (CoRR, 2019)

Overlying strata movement with ground penetrating radar detection in close-multiple coal seams mining. - Yang Li 071; Jiachen Wang; Yiding Chen; Zhipeng Wang; Jianpeng Wang (Int. J. Distributed Sens. Networks, 2019)

Optimal Attack against Autoregressive Models by Manipulating the Environment. - Yiding Chen; Xiaojin Zhu 001 (AAAI, 2020)

Robust Policy Gradient against Strong Data Corruption. - Xuezhou Zhang; Yiding Chen; Xiaojin Zhu 001; Wen Sun 002 (ICML, 2021)

Corruption-Robust Offline Reinforcement Learning. - Xuezhou Zhang; Yiding Chen; Jerry Zhu; Wen Sun 002 (CoRR, 2021)

Corruption-robust Offline Reinforcement Learning. - Xuezhou Zhang; Yiding Chen; Xiaojin Zhu 001; Wen Sun 002 (AISTATS, 2022)

The Game of Hidden Rules: A New Kind of Benchmark Challenge for Machine Learning. - Eric Pulick; Shubham Bharti; Yiding Chen; Vladimir Menkov; Yonatan Mintz; Paul B. Kantor; Vicki M. Bier (CoRR, 2022)

A New Method for Retrieving Electron Density Profiles from the MARSIS Ionograms. - Wendong Liu; Libo Liu; Yiding Chen; Huijun Le; Ruilong Zhang 003; Wenbo Li 007; Jiacheng Li; Tongtong Zhang; Yuyan Yang; Han Ma (Remote. Sens., 2022)

Unexpected Regional Zonal Structures in Low Latitude Ionosphere Call for a High Longitudinal Resolution of the Global Ionospheric Maps. - Libo Liu; Yuyan Yang; Huijun Le; Yiding Chen; Ruilong Zhang 003; Hui Zhang; Wenjie Sun; Guozhu Li (Remote. Sens., 2022)

Ionospheric Nighttime Enhancements at Low Latitudes Challenge Performance of the Global Ionospheric Maps. - Yuyan Yang; Libo Liu; Xiukuan Zhao; Haiyong Xie 002; Yiding Chen; Huijun Le; Ruilong Zhang 003; M. Arslan Tariq; Wenbo Li 007 (Remote. Sens., 2022)

Longitudinal Evolution of Storm-Enhanced Densities: A Case Study. - Bo Li; Huijun Le; Wenbo Li 007; Yiding Chen; Libo Liu (Remote. Sens., 2022)

Byzantine-Robust Online and Offline Distributed Reinforcement Learning. - Yiding Chen; Xuezhou Zhang; Kaiqing Zhang; Mengdi Wang; Xiaojin Zhu 001 (AISTATS, 2023)

Mechanism Design for Collaborative Normal Mean Estimation. - Yiding Chen; Jerry Zhu; Kirthevasan Kandasamy (NeurIPS, 2023)

Mechanism Design for Collaborative Normal Mean Estimation. - Yiding Chen; Xiaojin Zhu 001; Kirthevasan Kandasamy (CoRR, 2023)

Minimally Modifying a Markov Game to Achieve Any Nash Equilibrium and Value. - Young Wu; Jeremy McMahan; Yiding Chen; Yudong Chen 001; Xiaojin Zhu 001; Qiaomin Xie (CoRR, 2023)

Exact Policy Recovery in Offline RL with Both Heavy-Tailed Rewards and Data Corruption. - Yiding Chen; Xuezhou Zhang; Qiaomin Xie; Xiaojin Zhu 001 (AAAI, 2024)

Minimally Modifying a Markov Game to Achieve Any Nash Equilibrium and Value. - Young Wu; Jeremy McMahan; Yiding Chen; Yudong Chen 001; Jerry Zhu; Qiaomin Xie (ICML, 2024)

Data Sharing for Mean Estimation Among Heterogeneous Strategic Agents. - Alex Clinton; Yiding Chen; Xiaojin Zhu 001; Kirthevasan Kandasamy (CoRR, 2024)

A Study on the Predawn Ionospheric Heating Effect and Its Main Controlling Factors. - Zhenzhang Tang; Huijun Le; Libo Liu; Yiding Chen; Ruilong Zhang 003; Wenbo Li 007; Wendong Liu (Remote. Sens., 2024)

Diffusing States and Matching Scores: A New Framework for Imitation Learning. - Runzhe Wu; Yiding Chen; Gokul Swamy; Kianté Brantley; Wen Sun 002 (ICLR, 2025)

Avoiding exp(Rmax) scaling in RLHF through Preference-based Exploration. - Mingyu Chen 012; Yiding Chen; Wen Sun; Xuezhou Zhang (CoRR, 2025)

Convergence Of Consistency Model With Multistep Sampling Under General Data Assumptions. - Yiding Chen; Yiyi Zhang; Owen Oertell; Wen Sun (CoRR, 2025)

Efficient Controllable Diffusion via Optimal Classifier Guidance. - Owen Oertell; Shikun Sun; Yiding Chen; Jin Peng Zhou; Zhiyong Wang; Wen Sun (CoRR, 2025)

Scaling Offline RL via Efficient and Expressive Shortcut Models. - Nicolas A. Espinosa Dice; Yiyi Zhang; Yiding Chen; Bradley Guo; Owen Oertell; Gokul Swamy; Kianté Brantley; Wen Sun 002 (CoRR, 2025)

A Cramér-von Mises Approach to Incentivizing Truthful Data Sharing. - Alex Clinton; Thomas Zeng 003; Yiding Chen; Xiaojin Zhu 001; Kirthevasan Kandasamy (CoRR, 2025)