Chenning Yu

I am a third-year Ph.D. candidate at UCSD Computer Science & Engineering Department. I am very fortunate to have Sicun Gao as my advisor. We are currently working on graph neural networks and robotics.

Email  /  CV  /  Google Scholar  /  Github

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Iterative Reachability Estimation for Safe Reinforcement Learning
Milan Ganai, Zheng Gong, Chenning Yu, Sylvia Herbert, and Sicun Gao
NeurIPS, 2023
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Sequential Neural Barriers for Scalable Dynamic Obstacle Avoidance
Hongzhan Yu, Chiaki Hirayama, Chenning Yu, Sylvia Herbert, and Sicun Gao
IROS, 2023 / Best Robocup Paper Award
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Accelerating Multi-Agent Planning Using Graph Transformers with Bounded Suboptimality
Chenning Yu*, Qingbiao Li*, Sicun Gao, and Amanda Prorok
ICRA, 2023
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Learning-based Motion Planning in Dynamic Environments Using GNNs and Temporal Encoding
Ruipeng Zhang, Chenning Yu, Jingkai Chen, Chuchu Fan, and Sicun Gao
NeurIPS, 2022
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Learning Control Admissibility Models with Graph Neural Networks for Multi-Agent Navigation
Chenning Yu, Hongzhan Yu, and Sicun Gao
CoRL, 2022
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Reducing Collision Checking for Sampling-Based Motion Planning Using Graph Neural Networks
Chenning Yu and Sicun Gao
NeurIPS, 2021
paper | code | website

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