Yicheng Luo

30 papers A* 8A 3Journal 14Unranked 5
YearRankTypeTitle / Venue / Authors
2026 — conf
Interest Entropy: Rethinking Contrastive Learning for Sequential Recommendation with Interest Uncertainty.
KDD (1)
Binquan Wu, Kun Zeng, Yicheng Luo, Junhao Zheng, Qianli Ma
2026 J jnl
Learning Recursive Multi-Scale Representations for Irregular Multivariate Time Series Forecasting.
CoRR
Boyuan Li, Zhen Liu, Yicheng Luo, Qianli Ma
2025 A* conf
Hi-Patch: Hierarchical Patch GNN for Irregular Multivariate Time Series.
ICML
Yicheng Luo, Bowen Zhang, Zhen Liu, Qianli Ma
2025 A* conf
HyperIMTS: Hypergraph Neural Network for Irregular Multivariate Time Series Forecasting.
ICML
Boyuan Li, Yicheng Luo, Zhen Liu, Junhao Zheng, Jianming Lv, Qianli Ma
2025 J jnl
HyperIMTS: Hypergraph Neural Network for Irregular Multivariate Time Series Forecasting.
CoRR
Boyuan Li, Yicheng Luo, Zhen Liu, Junhao Zheng, Jianming Lv, Qianli Ma
2025 A* conf
Learning Soft Sparse Shapes for Efficient Time-Series Classification.
ICML
Zhen Liu, Yicheng Luo, Boyuan Li, Emadeldeen Eldele, Min Wu, Qianli Ma
2025 J jnl
Learning Soft Sparse Shapes for Efficient Time-Series Classification.
CoRR
Zhen Liu, Yicheng Luo, Boyuan Li, Emadeldeen Eldele, Min Wu, Qianli Ma
2024 A* conf
H-GAP: Humanoid Control with a Generalist Planner.
ICLR
Zhengyao Jiang, Yingchen Xu, Nolan Wagener, Yicheng Luo, Michael Janner, Edward Grefenstette, Tim Rocktäschel, Yuandong Tian
2024 — conf
Incremental Sequence Labeling: A Tale of Two Shifts.
ACL (Findings)
Shengjie Qiu, Junhao Zheng, Zhen Liu, Yicheng Luo, Qianli Ma
2024 J jnl
Incremental Sequence Labeling: A Tale of Two Shifts.
CoRR
Shengjie Qiu, Junhao Zheng, Zhen Liu, Yicheng Luo, Qianli Ma
2024 A* conf
Knowledge-Empowered Dynamic Graph Network for Irregularly Sampled Medical Time Series.
NeurIPS
Yicheng Luo, Zhen Liu, Linghao Wang, Binquan Wu, Junhao Zheng, Qianli Ma
2024 A conf
Learning Dynamic Tasks on a Large-scale Soft Robot in a Handful of Trials.
IROS
Sicelukwanda Zwane, Daniel G. Cheney, Curtis C. Johnson, Yicheng Luo, Yasemin Bekiroglu, Marc D. Killpack, Marc Peter Deisenroth
2024 J jnl
Learning Dynamic Tasks on a Large-scale Soft Robot in a Handful of Trials.
CoRR
Sicelukwanda Zwane, Daniel G. Cheney, Curtis C. Johnson, Yicheng Luo, Yasemin Bekiroglu, Marc D. Killpack, Marc Peter Deisenroth
2024 J jnl
Research on the prediction of LOCA condition in nuclear power plants based on GRU recurrent neural network and its variants.
Qual. Reliab. Eng. Int.
Fukun Chen, Xiaomeng Dong, Yicheng Luo, Ming Yang, Yong Liu, Anqi Xu, Jipu Wang, Sijuan Chen
2023 A* conf
ChessGPT: Bridging Policy Learning and Language Modeling.
NeurIPS
Xidong Feng, Yicheng Luo, Ziyan Wang, Hongrui Tang, Mengyue Yang, Kun Shao, David Mguni, Yali Du, Jun Wang
2023 J jnl
ChessGPT: Bridging Policy Learning and Language Modeling.
CoRR
Xidong Feng, Yicheng Luo, Ziyan Wang, Hongrui Tang, Mengyue Yang, Kun Shao, David Mguni, Yali Du, Jun Wang
2023 J jnl
Finetuning from Offline Reinforcement Learning: Challenges, Trade-offs and Practical Solutions.
CoRR
Yicheng Luo, Jackie Kay, Edward Grefenstette, Marc Peter Deisenroth
2023 J jnl
H-GAP: Humanoid Control with a Generalist Planner.
CoRR
Zhengyao Jiang, Yingchen Xu, Nolan Wagener, Yicheng Luo, Michael Janner, Edward Grefenstette, Tim Rocktäschel, Yuandong Tian
2023 A* conf
Optimal Transport for Offline Imitation Learning.
ICLR
Yicheng Luo, Zhengyao Jiang, Samuel Cohen, Edward Grefenstette, Marc Peter Deisenroth
2023 J jnl
Optimal Transport for Offline Imitation Learning.
CoRR
Yicheng Luo, Zhengyao Jiang, Samuel Cohen, Edward Grefenstette, Marc Peter Deisenroth
2023 J jnl
Pangu-Agent: A Fine-Tunable Generalist Agent with Structured Reasoning.
CoRR
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
2023 — conf
Safe Trajectory Sampling in Model-Based Reinforcement Learning.
CASE
Sicelukwanda Zwane, Denis Hadjivelichkov, Yicheng Luo, Yasemin Bekiroglu, Dimitrios Kanoulas, Marc Peter Deisenroth
2022 — conf
CIRL: A Category-Instance Representation Learning Framework for Tropical Cyclone Intensity Estimation.
ACCV (2)
Dengke Wang, Yajing Xu, Yicheng Luo, Qifeng Qian, Lv Yuan
2022 A conf
Learning to Construct 3D Building Wireframes from 3D Line Clouds.
BMVC
Yicheng Luo, Jing Ren, Xuefei Zhe, Di Kang, Yajing Xu, Peter Wonka, Linchao Bao
2022 J jnl
Learning to Construct 3D Building Wireframes from 3D Line Clouds.
CoRR
Yicheng Luo, Jing Ren, Xuefei Zhe, Di Kang, Yajing Xu, Peter Wonka, Linchao Bao
2021 A* conf
ELSD: Efficient Line Segment Detector and Descriptor.
ICCV
Haotian Zhang, Yicheng Luo, Fangbo Qin, Yijia He, Xiao Liu
2021 J jnl
ELSD: Efficient Line Segment Detector and Descriptor.
CoRR
Haotian Zhang, Yicheng Luo, Fangbo Qin, Yijia He, Xiao Liu
2021 — conf
Symbolic parallel adaptive importance sampling for probabilistic program analysis.
ESEC/SIGSOFT FSE
Yicheng Luo, Antonio Filieri, Yuan Zhou
2020 J jnl
SYMPAIS: SYMbolic Parallel Adaptive Importance Sampling for Probabilistic Program Analysis.
CoRR
Yicheng Luo, Antonio Filieri, Yuan Zhou
2015 A conf
Applying the Synergy Graph Model to Human Basketball.
AAMAS
Somchaya Liemhetcharat, Yicheng Luo