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2020 – today
- 2024
[j1]Fukun Chen
, Xiaomeng Dong, Yicheng Luo, Ming Yang, Yong Liu, Anqi Xu, Jipu Wang, Sijuan Chen:
Research on the prediction of LOCA condition in nuclear power plants based on GRU recurrent neural network and its variants. Qual. Reliab. Eng. Int. 40(2): 759-782 (2024)- [c10]Shengjie Qiu, Junhao Zheng, Zhen Liu, Yicheng Luo, Qianli Ma:
Incremental Sequence Labeling: A Tale of Two Shifts. ACL (Findings) 2024: 777-791 - [c9]Zhengyao Jiang, Yingchen Xu, Nolan Wagener, Yicheng Luo, Michael Janner, Edward Grefenstette, Tim Rocktäschel, Yuandong Tian:
H-GAP: Humanoid Control with a Generalist Planner. ICLR 2024 - [i9]Shengjie Qiu, Junhao Zheng, Zhen Liu, Yicheng Luo, Qianli Ma:
Incremental Sequence Labeling: A Tale of Two Shifts. CoRR abs/2402.10447 (2024) - 2023
- [c8]Sicelukwanda Zwane, Denis Hadjivelichkov, Yicheng Luo, Yasemin Bekiroglu, Dimitrios Kanoulas, Marc Peter Deisenroth:
Safe Trajectory Sampling in Model-Based Reinforcement Learning. CASE 2023: 1-6 - [c7]Yicheng Luo, Zhengyao Jiang, Samuel Cohen, Edward Grefenstette, Marc Peter Deisenroth:
Optimal Transport for Offline Imitation Learning. ICLR 2023 - [c6]Xidong Feng, Yicheng Luo, Ziyan Wang, Hongrui Tang, Mengyue Yang, Kun Shao, David Mguni, Yali Du, Jun Wang:
ChessGPT: Bridging Policy Learning and Language Modeling. NeurIPS 2023 - [i8]Yicheng Luo, Zhengyao Jiang, Samuel Cohen, Edward Grefenstette, Marc Peter Deisenroth:
Optimal Transport for Offline Imitation Learning. CoRR abs/2303.13971 (2023) - [i7]Yicheng Luo, Jackie Kay, Edward Grefenstette, Marc Peter Deisenroth:
Finetuning from Offline Reinforcement Learning: Challenges, Trade-offs and Practical Solutions. CoRR abs/2303.17396 (2023) - [i6]Xidong Feng, Yicheng Luo, Ziyan Wang, Hongrui Tang, Mengyue Yang, Kun Shao, David Mguni, Yali Du, Jun Wang:
ChessGPT: Bridging Policy Learning and Language Modeling. CoRR abs/2306.09200 (2023) - [i5]Zhengyao Jiang, Yingchen Xu, Nolan Wagener, Yicheng Luo, Michael Janner, Edward Grefenstette, Tim Rocktäschel, Yuandong Tian:
H-GAP: Humanoid Control with a Generalist Planner. CoRR abs/2312.02682 (2023) - [i4]Filippos Christianos, Georgios Papoudakis, Matthieu Zimmer, Thomas Coste, Zhihao Wu, Jingxuan Chen, Khyati Khandelwal, James Doran, Xidong Feng, Jiacheng Liu, Zheng Xiong, Yicheng Luo, Jianye Hao, Kun Shao, Haitham Bou-Ammar, Jun Wang:
Pangu-Agent: A Fine-Tunable Generalist Agent with Structured Reasoning. CoRR abs/2312.14878 (2023) - 2022
- [c5]Dengke Wang, Yajing Xu, Yicheng Luo, Qifeng Qian, Lv Yuan:
CIRL: A Category-Instance Representation Learning Framework for Tropical Cyclone Intensity Estimation. ACCV (2) 2022: 141-154 - [c4]Yicheng Luo, Jing Ren, Xuefei Zhe, Di Kang, Yajing Xu, Peter Wonka, Linchao Bao:
Learning to Construct 3D Building Wireframes from 3D Line Clouds. BMVC 2022: 91 - [i3]Yicheng Luo, Jing Ren, Xuefei Zhe, Di Kang, Yajing Xu, Peter Wonka, Linchao Bao:
Learning to Construct 3D Building Wireframes from 3D Line Clouds. CoRR abs/2208.11948 (2022) - 2021
- [c3]Haotian Zhang, Yicheng Luo, Fangbo Qin, Yijia He, Xiao Liu:
ELSD: Efficient Line Segment Detector and Descriptor. ICCV 2021: 2949-2958 - [c2]Yicheng Luo, Antonio Filieri, Yuan Zhou:
Symbolic parallel adaptive importance sampling for probabilistic program analysis. ESEC/SIGSOFT FSE 2021: 1166-1177 - [i2]Haotian Zhang, Yicheng Luo, Fangbo Qin, Yijia He, Xiao Liu:
ELSD: Efficient Line Segment Detector and Descriptor. CoRR abs/2104.14205 (2021) - 2020
- [i1]Yicheng Luo, Antonio Filieri, Yuan Zhou:
SYMPAIS: SYMbolic Parallel Adaptive Importance Sampling for Probabilistic Program Analysis. CoRR abs/2010.05050 (2020)
2010 – 2019
- 2015
- [c1]Somchaya Liemhetcharat, Yicheng Luo:
Applying the Synergy Graph Model to Human Basketball. AAMAS 2015: 1695-1696
Coauthor Index
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last updated on 2024-10-07 22:18 CEST by the dblp team
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