Fan, Chuchu

27 publications

ICML 2025 CodeSteer: Symbolic-Augmented Language Models via Code/Text Guidance Yongchao Chen, Yilun Hao, Yueying Liu, Yang Zhang, Chuchu Fan

ICLRW 2025 CodeSteer: Symbolic-Augmented Language Models via Code/Text Guidance Yongchao Chen, Yilun Hao, Yueying Liu, Yang Zhang, Chuchu Fan

CoRL 2025 Cost-Aware Discovery of Contextual Failures Using Bayesian Active Learning Anjali Parashar, Joseph Zhang, Yingke Li, Chuchu Fan

ICLR 2025 Discrete GCBF Proximal Policy Optimization for Multi-Agent Safe Optimal Control Songyuan Zhang, Oswin So, Mitchell Black, Chuchu Fan

NeurIPS 2025 HMARL-CBF – Hierarchical Multi-Agent Reinforcement Learning with Control Barrier Functions for Safety-Critical Autonomous Systems H M Sabbir Ahmad, Ehsan Sabouni, Alexander Wasilkoff, Param Budhraja, Zijian Guo, Songyuan Zhang, Chuchu Fan, Christos Cassandras, Wenchao Li

NeurIPS 2025 Neural Combinatorial Optimization for Time-Dependent Traveling Salesman Problem Ruixiao Yang, Chuchu Fan

ICLR 2025 Planning Anything with Rigor: General-Purpose Zero-Shot Planning with LLM-Based Formalized Programming Yilun Hao, Yang Zhang, Chuchu Fan

ICLR 2025 Rare Event Modeling with Self-Regularized Normalizing Flows: What Can We Learn from a Single Failure? Charles Dawson, Van Tran, Max Z. Li, Chuchu Fan

AAAI 2025 Scalable Surrogate Verification of Image-Based Neural Network Control Systems Using Composition and Unrolling Feiyang Cai, Chuchu Fan, Stanley Bak

ICLR 2025 Steering Large Language Models Between Code Execution and Textual Reasoning Yongchao Chen, Harsh Jhamtani, Srinagesh Sharma, Chuchu Fan, Chi Wang

ICML 2025 TeLoGraF: Temporal Logic Planning via Graph-Encoded Flow Matching Yue Meng, Chuchu Fan

NeurIPSW 2024 Failure Prediction from Few Expert Demonstrations Anjali Parashar, Kunal Garg, Joseph Zhang, Chuchu Fan

L4DC 2024 Learning to Stabilize High-Dimensional Unknown Systems Using Lyapunov-Guided Exploration Songyuan Zhang, Chuchu Fan

NeurIPS 2024 Solving Minimum-Cost Reach Avoid Using Reinforcement Learning Oswin So, Cheng Ge, Chuchu Fan

CoRL 2023 A Bayesian Approach to Breaking Things: Efficiently Predicting and Repairing Failure Modes via Sampling Charles Dawson, Chuchu Fan

L4DC 2023 Compositional Neural Certificates for Networked Dynamical Systems Songyuan Zhang, Yumeng Xiu, Guannan Qu, Chuchu Fan

L4DC 2023 Hybrid Systems Neural Control with Region-of-Attraction Planner Yue Meng, Chuchu Fan

CoRL 2023 Neural Graph Control Barrier Functions Guided Distributed Collision-Avoidance Multi-Agent Control Songyuan Zhang, Kunal Garg, Chuchu Fan

NeurIPS 2022 Learning-Based Motion Planning in Dynamic Environments Using GNNs and Temporal Encoding Ruipeng Zhang, Chenning Yu, Jingkai Chen, Chuchu Fan, Sicun Gao

ICML 2021 Density Constrained Reinforcement Learning Zengyi Qin, Yuxiao Chen, Chuchu Fan

CoRL 2021 Learning Density Distribution of Reachable States for Autonomous Systems Yue Meng, Dawei Sun, Zeng Qiu, Md Tawhid Bin Waez, Chuchu Fan

ICLR 2021 Learning Safe Multi-Agent Control with Decentralized Neural Barrier Certificates Zengyi Qin, Kaiqing Zhang, Yuxiao Chen, Jingkai Chen, Chuchu Fan

CoRL 2021 Safe Nonlinear Control Using Robust Neural Lyapunov-Barrier Functions Charles Dawson, Zengyi Qin, Sicun Gao, Chuchu Fan

AAAI 2021 Scalable and Safe Multi-Agent Motion Planning with Nonlinear Dynamics and Bounded Disturbances Jingkai Chen, Jiaoyang Li, Chuchu Fan, Brian C. Williams

L4DC 2021 Uncertain-Aware Safe Exploratory Planning Using Gaussian Process and Neural Control Contraction Metric Dawei Sun, Mohammad Javad Khojasteh, Shubhanshu Shekhar, Chuchu Fan

CoRL 2020 Learning Certified Control Using Contraction Metric Dawei Sun, Susmit Jha, Chuchu Fan

CoRL 2020 Reactive Motion Planning with Probabilisticsafety Guarantees Yuxiao Chen, Ugo Rosolia, Chuchu Fan, Aaron Ames, Richard Murray