Jialian Li

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 23

Top Topics

Imperfect Information

Top Venues

Publications

Jianting Ye, Yutong Chen, Jialian Li, Pei Deng
Stock Index Prediction Based On VMD-ARIMA-CNN-LSTM. DSAI (2024)
Yuzi Yan, Jialian Li, Yipin Zhang, Dong Yan
Exploring the LLM Journey from Cognition to Expression with Linear Representations. CoRR (2024)
Yuzi Yan, Yibo Miao, Jialian Li, Yipin Zhang, Jian Xie, Zhijie Deng, Dong Yan
3D-Properties: Identifying Challenges in DPO and Charting a Path Forward. CoRR (2024)
Chengyang Ying, Zhongkai Hao, Xinning Zhou, Hang Su, Songming Liu, Jialian Li, Dong Yan, Jun Zhu
Reward Informed Dreamer for Task Generalization in Reinforcement Learning. CoRR (2023)
Jialian Li, Jingyi Zhang, Zhiyong Wang, Siqi Shen, Chenglu Wen, Yuexin Ma, Lan Xu, Jingyi Yu, Cheng Wang
LiDARCap: Long-range Marker-less 3D Human Motion Capture with LiDAR Point Clouds. CoRR (2022)
Jialian Li, Tongzheng Ren, Dong Yan, Hang Su, Jun Zhu
Policy Learning for Robust Markov Decision Process with a Mismatched Generative Model. AAAI (2022)
Jialian Li, Tongzheng Ren, Dong Yan, Hang Su, Jun Zhu
Policy Learning for Robust Markov Decision Process with a Mismatched Generative Model. CoRR (2022)
Jialian Li, Jingyi Zhang, Zhiyong Wang, Siqi Shen, Chenglu Wen, Yuexin Ma, Lan Xu, Jingyi Yu, Cheng Wang
LiDARCap: Long-range Markerless 3D Human Motion Capture with LiDAR Point Clouds. CVPR (2022)
Zhenhuang Cai, Yangbin Lin, Jialian Li, Zongliang Zhang, Xingwang Huang
Building Facade Completion Using Semantic-Synchronized GAN. IGARSS (2021)
Tongzheng Ren, Jialian Li, Bo Dai, Simon S. Du, Sujay Sanghavi
Nearly Horizon-Free Offline Reinforcement Learning. CoRR (2021)
Jialian Li, Chao Du, Jun Zhu
A Bayesian Approach for Subset Selection in Contextual Bandits. AAAI (2021)
Tongzheng Ren, Jialian Li, Bo Dai, Simon S. Du, Sujay Sanghavi
Nearly Horizon-Free Offline Reinforcement Learning. NeurIPS (2021)
Yichi Zhou, Tongzheng Ren, Jialian Li, Dong Yan, Jun Zhu
Lazy-CFR: fast and near-optimal regret minimization for extensive games with imperfect information. ICLR (2020)
Jialian Li, Yichi Zhou, Tongzheng Ren, Jun Zhu
Exploration Analysis in Finite-Horizon Turn-based Stochastic Games. UAI (2020)
Yichi Zhou, Jialian Li, Jun Zhu
Posterior sampling for multi-agent reinforcement learning: solving extensive games with imperfect information. ICLR (2020)
Jialian Li, Tongzheng Ren, Hang Su, Jun Zhu
Learn a Robust Policy in Adversarial Games via Playing with an Expert Opponent. AAMAS (2019)
Yangbin Lin, Jialian Li, Cheng Wang, Zhonggui Chen, Zongyue Wang, Jonathan Li
Fast Regularity-Constrained Plane Reconstruction. CoRR (2019)
Yichi Zhou, Tongzheng Ren, Jialian Li, Dong Yan, Jun Zhu
Lazy-CFR: a fast regret minimization algorithm for extensive games with imperfect information. CoRR (2018)
Hong Chi, Jialian Li, Xueyan Shao, Mingang Gao
Timeliness evaluation of emergency resource scheduling. Eur. J. Oper. Res. 258 (3) (2017)
Yichi Zhou, Jialian Li, Jun Zhu
Identify the Nash Equilibrium in Static Games with Random Payoffs. ICML (2017)
Haosheng Zou, Kun Xu, Jialian Li
The YouTube-8M Kaggle Competition: Challenges and Methods. CoRR (2017)
Yong Ren, Jun Zhu, Jialian Li, Yucen Luo
Conditional Generative Moment-Matching Networks. NIPS (2016)
Yong Ren, Jialian Li, Yucen Luo, Jun Zhu
Conditional Generative Moment-Matching Networks. CoRR (2016)