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Jialian Li
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2020 – today
- 2024
- [i10]Yuzi Yan, Jialian Li, Yipin Zhang, Dong Yan:
Exploring the LLM Journey from Cognition to Expression with Linear Representations. CoRR abs/2405.16964 (2024) - [i9]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 abs/2406.07327 (2024) - 2023
- [i8]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 abs/2303.05092 (2023) - 2022
- [c11]Jialian Li, Tongzheng Ren, Dong Yan, Hang Su, Jun Zhu:
Policy Learning for Robust Markov Decision Process with a Mismatched Generative Model. AAAI 2022: 7417-7425 - [c10]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: 20470-20480 - [i7]Jialian Li, Tongzheng Ren, Dong Yan, Hang Su, Jun Zhu:
Policy Learning for Robust Markov Decision Process with a Mismatched Generative Model. CoRR abs/2203.06587 (2022) - [i6]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 abs/2203.14698 (2022) - 2021
- [c9]Jialian Li, Chao Du, Jun Zhu:
A Bayesian Approach for Subset Selection in Contextual Bandits. AAAI 2021: 8384-8391 - [c8]Zhenhuang Cai, Yangbin Lin, Jialian Li, Zongliang Zhang
, Xingwang Huang:
Building Facade Completion Using Semantic-Synchronized GAN. IGARSS 2021: 6387-6390 - [c7]Tongzheng Ren, Jialian Li, Bo Dai, Simon S. Du, Sujay Sanghavi:
Nearly Horizon-Free Offline Reinforcement Learning. NeurIPS 2021: 15621-15634 - [i5]Tongzheng Ren, Jialian Li, Bo Dai, Simon S. Du, Sujay Sanghavi:
Nearly Horizon-Free Offline Reinforcement Learning. CoRR abs/2103.14077 (2021) - 2020
- [c6]Yichi Zhou, Jialian Li, Jun Zhu:
Posterior sampling for multi-agent reinforcement learning: solving extensive games with imperfect information. ICLR 2020 - [c5]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 - [c4]Jialian Li, Yichi Zhou, Tongzheng Ren, Jun Zhu:
Exploration Analysis in Finite-Horizon Turn-based Stochastic Games. UAI 2020: 201-210
2010 – 2019
- 2019
- [c3]Jialian Li, Tongzheng Ren, Hang Su, Jun Zhu:
Learn a Robust Policy in Adversarial Games via Playing with an Expert Opponent. AAMAS 2019: 2096-2098 - [i4]Yangbin Lin, Jialian Li, Cheng Wang, Zhonggui Chen, Zongyue Wang, Jonathan Li:
Fast Regularity-Constrained Plane Reconstruction. CoRR abs/1905.07922 (2019) - 2018
- [i3]Yichi Zhou, Tongzheng Ren, Jialian Li, Dong Yan, Jun Zhu:
Lazy-CFR: a fast regret minimization algorithm for extensive games with imperfect information. CoRR abs/1810.04433 (2018) - 2017
- [j1]Hong Chi, Jialian Li, Xueyan Shao, Mingang Gao:
Timeliness evaluation of emergency resource scheduling. Eur. J. Oper. Res. 258(3): 1022-1032 (2017) - [c2]Yichi Zhou, Jialian Li, Jun Zhu:
Identify the Nash Equilibrium in Static Games with Random Payoffs. ICML 2017: 4160-4169 - [i2]Haosheng Zou, Kun Xu, Jialian Li:
The YouTube-8M Kaggle Competition: Challenges and Methods. CoRR abs/1706.09274 (2017) - 2016
- [c1]Yong Ren, Jun Zhu, Jialian Li, Yucen Luo:
Conditional Generative Moment-Matching Networks. NIPS 2016: 2928-2936 - [i1]Yong Ren, Jialian Li, Yucen Luo, Jun Zhu:
Conditional Generative Moment-Matching Networks. CoRR abs/1606.04218 (2016)
Coauthor Index
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last updated on 2024-07-09 22:05 CEST by the dblp team
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