Conditional Generative Moment-Matching Networks. - Yong Ren; Jun Zhu 001; Jialian Li; Yucen Luo (NIPS, 2016)

Identify the Nash Equilibrium in Static Games with Random Payoffs. - Yichi Zhou; Jialian Li; Jun Zhu 001 (ICML, 2017)

The YouTube-8M Kaggle Competition: Challenges and Methods. - Haosheng Zou; Kun Xu; Jialian Li (CoRR, 2017)

Timeliness evaluation of emergency resource scheduling. - Hong Chi; Jialian Li; Xueyan Shao; Mingang Gao (Eur. J. Oper. Res., 2017)

Lazy-CFR: a fast regret minimization algorithm for extensive games with imperfect information. - Yichi Zhou; Tongzheng Ren; Jialian Li; Dong Yan; Jun Zhu 001 (CoRR, 2018)

Learn a Robust Policy in Adversarial Games via Playing with an Expert Opponent. - Jialian Li; Tongzheng Ren; Hang Su 006; Jun Zhu 001 (AAMAS, 2019)

Fast Regularity-Constrained Plane Reconstruction. - Yangbin Lin; Jialian Li; Cheng Wang 003; Zhonggui Chen; Zongyue Wang; Jonathan Li 001 (CoRR, 2019)

Posterior sampling for multi-agent reinforcement learning: solving extensive games with imperfect information. - Yichi Zhou; Jialian Li; Jun Zhu 001 (ICLR, 2020)

Lazy-CFR: fast and near-optimal regret minimization for extensive games with imperfect information. - Yichi Zhou; Tongzheng Ren; Jialian Li; Dong Yan; Jun Zhu 001 (ICLR, 2020)

Exploration Analysis in Finite-Horizon Turn-based Stochastic Games. - Jialian Li; Yichi Zhou; Tongzheng Ren; Jun Zhu 001 (UAI, 2020)

A Bayesian Approach for Subset Selection in Contextual Bandits. - Jialian Li; Chao Du; Jun Zhu (AAAI, 2021)

Building Facade Completion Using Semantic-Synchronized GAN. - Zhenhuang Cai; Yangbin Lin; Jialian Li; Zongliang Zhang; Xingwang Huang (IGARSS, 2021)

Nearly Horizon-Free Offline Reinforcement Learning. - Tongzheng Ren; Jialian Li; Bo Dai 001; Simon S. Du; Sujay Sanghavi (NeurIPS, 2021)

Policy Learning for Robust Markov Decision Process with a Mismatched Generative Model. - Jialian Li; Tongzheng Ren; Dong Yan; Hang Su 006; Jun Zhu 001 (AAAI, 2022)

LiDARCap: Long-range Markerless 3D Human Motion Capture with LiDAR Point Clouds. - Jialian Li; Jingyi Zhang; Zhiyong Wang; Siqi Shen; Chenglu Wen; Yuexin Ma; Lan Xu; Jingyi Yu; Cheng Wang 003 (CVPR, 2022)

LiDARCap: Long-range Marker-less 3D Human Motion Capture with LiDAR Point Clouds. - Jialian Li; Jingyi Zhang; Zhiyong Wang; Siqi Shen; Chenglu Wen; Yuexin Ma; Lan Xu; Jingyi Yu; Cheng Wang 003 (CoRR, 2022)

Reward Informed Dreamer for Task Generalization in Reinforcement Learning. - Chengyang Ying; Zhongkai Hao; Xinning Zhou; Hang Su 006; Songming Liu; Jialian Li; Dong Yan; Jun Zhu 001 (CoRR, 2023)

Stock Index Prediction Based On VMD-ARIMA-CNN-LSTM. - Jianting Ye; Yutong Chen; Jialian Li; Pei Deng (DSAI, 2024)

Exploring the LLM Journey from Cognition to Expression with Linear Representations. - Yuzi Yan; Jialian Li; Yipin Zhang; Dong Yan (ICML, 2024)

Reward-Robust RLHF in LLMs. - Yuzi Yan; Xingzhou Lou; Jialian Li; Yiping Zhang; Jian Xie; Chao Yu; Yu Wang; Dong Yan; Yuan Shen (CoRR, 2024)

Boosting Deductive Reasoning with Step Signals In RLHF. - Jialian Li; Yipin Zhang; Wei Shen; Yuzi Yan; Jian Xie; Dong Yan (CoRR, 2024)

3D-Properties: Identifying Challenges in DPO and Charting a Path Forward. - Yuzi Yan; Yibo Miao; Jialian Li; Yipin Zhang; Jian Xie; Zhijie Deng; Dong Yan (ICLR, 2025)