Yicheng Luo

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 20

Top Topics

Hedge Detection

Reinforcement Learning

Tropical Cyclone

Language Modeling

Top Venues

Publications

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) (2024)
Shengjie Qiu, Junhao Zheng, Zhen Liu, Yicheng Luo, Qianli Ma
Incremental Sequence Labeling: A Tale of Two Shifts. ACL (Findings) (2024)
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)
Shengjie Qiu, Junhao Zheng, Zhen Liu, Yicheng Luo, Qianli Ma
Incremental Sequence Labeling: A Tale of Two Shifts. CoRR (2024)
Sicelukwanda Zwane, Denis Hadjivelichkov, Yicheng Luo, Yasemin Bekiroglu, Dimitrios Kanoulas, Marc Peter Deisenroth
Safe Trajectory Sampling in Model-Based Reinforcement Learning. CASE (2023)
Yicheng Luo, Jackie Kay, Edward Grefenstette, Marc Peter Deisenroth
Finetuning from Offline Reinforcement Learning: Challenges, Trade-offs and Practical Solutions. CoRR (2023)
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 (2023)
Yicheng Luo, Zhengyao Jiang, Samuel Cohen, Edward Grefenstette, Marc Peter Deisenroth
Optimal Transport for Offline Imitation Learning. CoRR (2023)
Yicheng Luo, Zhengyao Jiang, Samuel Cohen, Edward Grefenstette, Marc Peter Deisenroth
Optimal Transport for Offline Imitation Learning. ICLR (2023)
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)
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 (2023)
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 (2023)
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)
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)
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 (2022)
Haotian Zhang, Yicheng Luo, Fangbo Qin, Yijia He, Xiao Liu
ELSD: Efficient Line Segment Detector and Descriptor. ICCV (2021)
Yicheng Luo, Antonio Filieri, Yuan Zhou
Symbolic parallel adaptive importance sampling for probabilistic program analysis. ESEC/SIGSOFT FSE (2021)
Haotian Zhang, Yicheng Luo, Fangbo Qin, Yijia He, Xiao Liu
ELSD: Efficient Line Segment Detector and Descriptor. CoRR (2021)
Yicheng Luo, Antonio Filieri, Yuan Zhou
SYMPAIS: SYMbolic Parallel Adaptive Importance Sampling for Probabilistic Program Analysis. CoRR (2020)
Somchaya Liemhetcharat, Yicheng Luo
Applying the Synergy Graph Model to Human Basketball. AAMAS (2015)