Yicheng Luo

Orcid: 0000-0003-0547-411X

According to our database1, Yicheng Luo authored at least 14 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2024
Research on the prediction of LOCA condition in nuclear power plants based on GRU recurrent neural network and its variants.
Qual. Reliab. Eng. Int., March, 2024

H-GAP: Humanoid Control with a Generalist Planner.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Incremental Sequence Labeling: A Tale of Two Shifts.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
Pangu-Agent: A Fine-Tunable Generalist Agent with Structured Reasoning.
CoRR, 2023

Finetuning from Offline Reinforcement Learning: Challenges, Trade-offs and Practical Solutions.
CoRR, 2023

ChessGPT: Bridging Policy Learning and Language Modeling.
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.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Safe Trajectory Sampling in Model-Based Reinforcement Learning.
Proceedings of the 19th IEEE International Conference on Automation Science and Engineering, 2023

2022
Learning to Construct 3D Building Wireframes from 3D Line Clouds.
Proceedings of the 33rd British Machine Vision Conference 2022, 2022

CIRL: A Category-Instance Representation Learning Framework for Tropical Cyclone Intensity Estimation.
Proceedings of the Computer Vision - ACCV 2022, 2022

2021
Symbolic parallel adaptive importance sampling for probabilistic program analysis.
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.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020
SYMPAIS: SYMbolic Parallel Adaptive Importance Sampling for Probabilistic Program Analysis.
CoRR, 2020

2015
Applying the Synergy Graph Model to Human Basketball.
Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems, 2015


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