Yicheng Luo

According to our database, Yicheng Luo authored at least 21 papers between 2015 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Learning Recursive Multi-Scale Representations for Irregular Multivariate Time Series Forecasting.

Boyuan Li, Zhen Liu, Yicheng Luo, Qianli Ma

CoRR, February, 2026

Interest Entropy: Rethinking Contrastive Learning for Sequential Recommendation with Interest Uncertainty.

Binquan Wu, Kun Zeng, Yicheng Luo, Junhao Zheng, Qianli Ma

Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, 2026

2025

Hi-Patch: Hierarchical Patch GNN for Irregular Multivariate Time Series.

Yicheng Luo, Bowen Zhang, Zhen Liu, Qianli Ma

Proceedings of the Forty-second International Conference on Machine Learning, 2025

HyperIMTS: Hypergraph Neural Network for Irregular Multivariate Time Series Forecasting.

Boyuan Li, Yicheng Luo, Zhen Liu, Junhao Zheng, Jianming Lv, Qianli Ma

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Learning Soft Sparse Shapes for Efficient Time-Series Classification.

Zhen Liu, Yicheng Luo, Boyuan Li, Emadeldeen Eldele, Min Wu, Qianli Ma

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

Research on the prediction of LOCA condition in nuclear power plants based on GRU recurrent neural network and its variants.

Fukun Chen, Xiaomeng Dong, Yicheng Luo, Ming Yang, Yong Liu, Anqi Xu, Jipu Wang, Sijuan Chen

Qual. Reliab. Eng. Int., March, 2024

Knowledge-Empowered Dynamic Graph Network for Irregularly Sampled Medical Time Series.

Yicheng Luo, Zhen Liu, Linghao Wang, Binquan Wu, Junhao Zheng, Qianli Ma

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Learning Dynamic Tasks on a Large-scale Soft Robot in a Handful of Trials.

Sicelukwanda Zwane, Daniel G. Cheney, Curtis C. Johnson, Yicheng Luo, Yasemin Bekiroglu, Marc D. Killpack, Marc Peter Deisenroth

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

H-GAP: Humanoid Control with a Generalist Planner.

Zhengyao Jiang, Yingchen Xu, Nolan Wagener, Yicheng Luo, Michael Janner, Edward Grefenstette, Tim Rocktäschel, Yuandong Tian

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Incremental Sequence Labeling: A Tale of Two Shifts.

Shengjie Qiu, Junhao Zheng, Zhen Liu, Yicheng Luo, Qianli Ma

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Pangu-Agent: A Fine-Tunable Generalist Agent with Structured Reasoning.

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

CoRR, 2023

Finetuning from Offline Reinforcement Learning: Challenges, Trade-offs and Practical Solutions.

Yicheng Luo, Jackie Kay, Edward Grefenstette, Marc Peter Deisenroth

CoRR, 2023

ChessGPT: Bridging Policy Learning and Language Modeling.

Xidong Feng, Yicheng Luo, Ziyan Wang, Hongrui Tang, Mengyue Yang, Kun Shao, David Mguni, Yali Du, Jun Wang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Optimal Transport for Offline Imitation Learning.

Yicheng Luo, Zhengyao Jiang, Samuel Cohen, Edward Grefenstette, Marc Peter Deisenroth

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Safe Trajectory Sampling in Model-Based Reinforcement Learning.

Sicelukwanda Zwane, Denis Hadjivelichkov, Yicheng Luo, Yasemin Bekiroglu, Dimitrios Kanoulas, Marc Peter Deisenroth

Proceedings of the 19th IEEE International Conference on Automation Science and Engineering, 2023

2022

Learning to Construct 3D Building Wireframes from 3D Line Clouds.

Yicheng Luo, Jing Ren, Xuefei Zhe, Di Kang, Yajing Xu, Peter Wonka, Linchao Bao

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

CIRL: A Category-Instance Representation Learning Framework for Tropical Cyclone Intensity Estimation.

Dengke Wang, Yajing Xu, Yicheng Luo, Qifeng Qian, Lv Yuan

Proceedings of the Computer Vision - ACCV 2022, 2022

2021

Symbolic parallel adaptive importance sampling for probabilistic program analysis.

Yicheng Luo, Antonio Filieri, Yuan Zhou

Proceedings of the ESEC/FSE '21: 29th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2021

ELSD: Efficient Line Segment Detector and Descriptor.

Haotian Zhang, Yicheng Luo, Fangbo Qin, Yijia He, Xiao Liu

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

SYMPAIS: SYMbolic Parallel Adaptive Importance Sampling for Probabilistic Program Analysis.

Yicheng Luo, Antonio Filieri, Yuan Zhou

CoRR, 2020

2015

Applying the Synergy Graph Model to Human Basketball.

Somchaya Liemhetcharat, Yicheng Luo

Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems, 2015