Liu, Changliu

36 publications

TMLR 2026 Steering Dialogue Dynamics for Robustness Against Multi-Turn Jailbreaking Attacks Hanjiang Hu, Alexander Robey, Changliu Liu

L4DC 2025 Continual Learning and Lifting of Koopman Dynamics for Linear Control of Legged Robots Feihan Li, Abulikemu Abuduweili, Yifan Sun, Rui Chen, Weiye Zhao, Changliu Liu

TMLR 2025 Enhancing Sample Generation of Diffusion Models Using Noise Level Correction Abulikemu Abuduweili, Chenyang Yuan, Changliu Liu, Frank Permenter

ICCV 2025 Generating Physically Stable and Buildable Brick Structures from Text Ava Pun, Kangle Deng, Ruixuan Liu, Deva Ramanan, Changliu Liu, Jun-Yan Zhu

JAIR 2025 Implicit Safe Set Algorithm for Provably Safe Reinforcement Learning Weiye Zhao, Feihan Li, Tairan He, Changliu Liu

L4DC 2025 Learn with Imagination: Safe Set Guided State-Wise Constrained Policy Optimization Yifan Sun, Feihan Li, Weiye Zhao, Rui Chen, Tianhao Wei, Changliu Liu

CPAL 2025 Revisiting the Initial Steps in Adaptive Gradient Descent Optimization Abulikemu Abuduweili, Changliu Liu

L4DC 2025 Safe PDE Boundary Control with Neural Operators Hanjiang Hu, Changliu Liu

JAIR 2025 Scalable Synthesis of Formally Verified Neural Value Function for Hamilton-Jacobi Reachability Analysis Yujie Yang, Hanjiang Hu, Tianhao Wei, Shengbo Eben Li, Changliu Liu

ICLR 2025 ThinkBot: Embodied Instruction Following with Thought Chain Reasoning Guanxing Lu, Ziwei Wang, Changliu Liu, Jiwen Lu, Yansong Tang

ICML 2024 Absolute Policy Optimization: Enhancing Lower Probability Bound of Performance with High Confidence Weiye Zhao, Feihan Li, Yifan Sun, Rui Chen, Tianhao Wei, Changliu Liu

TMLR 2024 GUARD: A Safe Reinforcement Learning Benchmark Weiye Zhao, Yifan Sun, Feihan Li, Rui Chen, Ruixuan Liu, Tianhao Wei, Changliu Liu

TMLR 2024 Improve Certified Training with Signal-to-Noise Ratio Loss to Decrease Neuron Variance and Increase Neuron Stability Tianhao Wei, Ziwei Wang, Peizhi Niu, Abulikemu Abuduweili, Weiye Zhao, Casidhe Hutchison, Eric Sample, Changliu Liu

CoRL 2024 KOROL: Learning Visualizable Object Feature with Koopman Operator Rollout for Manipulation Hongyi Chen, Abulikemu Abuduweili, Aviral Agrawal, Yunhai Han, Harish Ravichandar, Changliu Liu, Jeffrey Ichnowski

ECCV 2024 ManiGaussian: Dynamic Gaussian Splatting for Multi-Task Robotic Manipulation Guanxing Lu, Shiyi Zhang, Ziwei Wang, Changliu Liu, Jiwen Lu, Yansong Tang

CoRL 2024 Meta-Control: Automatic Model-Based Control Synthesis for Heterogeneous Robot Skills Tianhao Wei, Liqian Ma, Rui Chen, Weiye Zhao, Changliu Liu

NeurIPS 2024 NN4SysBench: Characterizing Neural Network Verification for Computer Systems Shuyi Lin, Haoyu He, Tianhao Wei, Kaidi Xu, Huan Zhang, Gagandeep Singh, Changliu Liu, Cheng Tan

CoRL 2024 OmniH2O: Universal and Dexterous Human-to-Humanoid Whole-Body Teleoperation and Learning Tairan He, Zhengyi Luo, Xialin He, Wenli Xiao, Chong Zhang, Weinan Zhang, Kris M. Kitani, Changliu Liu, Guanya Shi

L4DC 2024 Real-Time Safe Control of Neural Network Dynamic Models with Sound Approximation Hanjiang Hu, Jianglin Lan, Changliu Liu

NeurIPSW 2024 Revisiting the Initial Steps in Adaptive Gradient Descent Optimization Abulikemu Abuduweili, Changliu Liu

TMLR 2024 State-Wise Constrained Policy Optimization Weiye Zhao, Rui Chen, Yifan Sun, Feihan Li, Tianhao Wei, Changliu Liu

CoRL 2024 Verification of Neural Control Barrier Functions with Symbolic Derivative Bounds Propagation Hanjiang Hu, Yujie Yang, Tianhao Wei, Changliu Liu

TMLR 2023 An Optical Control Environment for Benchmarking Reinforcement Learning Algorithms Abulikemu Abuduweili, Changliu Liu

AAAI 2023 AutoCost: Evolving Intrinsic Cost for Zero-Violation Reinforcement Learning Tairan He, Weiye Zhao, Changliu Liu

CoRL 2023 Online Model Adaptation with Feedforward Compensation Abulikemu Abuduweili, Changliu Liu

L4DC 2023 Probabilistic Safeguard for Reinforcement Learning Using Safety Index Guided Gaussian Process Models Weiye Zhao, Tairan He, Changliu Liu

IJCAI 2023 State-Wise Safe Reinforcement Learning: A Survey Weiye Zhao, Tairan He, Rui Chen, Tianhao Wei, Changliu Liu

CoRL 2022 ARC - Actor Residual Critic for Adversarial Imitation Learning Ankur Deka, Changliu Liu, Katia P. Sycara

ICMLW 2022 An Optical Controlling Environment and Reinforcement Learning Benchmarks Abulikemu Abuduweili, Changliu Liu

L4DC 2022 Joint Synthesis of Safety Certificate and Safe Control Policy Using Constrained Reinforcement Learning Haitong Ma, Changliu Liu, Shengbo Eben Li, Sifa Zheng, Jianyu Chen

CoRL 2022 Safe Control Under Input Limits with Neural Control Barrier Functions Simin Liu, Changliu Liu, John Dolan

L4DC 2022 Safe Control with Neural Network Dynamic Models Tianhao Wei, Changliu Liu

CoRL 2021 Model-Free Safe Control for Zero-Violation Reinforcement Learning Weiye Zhao, Tairan He, Changliu Liu

CoRL 2020 Augmenting GAIL with BC for Sample Efficient Imitation Learning Rohit Jena, Changliu Liu, Katia Sycara

L4DC 2020 Robust Online Model Adaptation by Extended Kalman Filter with Exponential Moving Average and Dynamic Multi-Epoch Strategy Abulikemu Abuduweili, Changliu Liu

CoRL 2020 Tolerance-Guided Policy Learning for Adaptable and Transferrable Delicate Industrial Insertion Boshen Niu, Chenxi Wang, Changliu Liu