Peide Huang - RankMe

31 papers A* 3A 2Misc 3Journal 18Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	CaDRE: Controllable and Diverse Generation of Safety-Critical Driving Scenarios Using Real-World Trajectories. ICRA Peide Huang, Wenhao Ding, Benjamin Stoler, Jonathan Francis, Bingqing Chen, Ding Zhao
2025	J	`jnl`	Dynamics as Prompts: In-Context Learning for Sim-to-Real System Identifications. IEEE Robotics Autom. Lett. Xilun Zhang, Shiqi Liu, Peide Huang, William Jongwon Han, Yiqi Lyu, Mengdi Xu, Ding Zhao
2025	J	`jnl`	ELEGNT: Expressive and Functional Movement Design for Non-anthropomorphic Robot. CoRR Yuhan Hu, Peide Huang, Mouli Sivapurapu, Jian Zhang
2025	J	`jnl`	EMOTION: Expressive Motion Sequence Generation for Humanoid Robots With In-Context Learning. IEEE Robotics Autom. Lett. Peide Huang, Yuhan Hu, Nataliya Nechyporenko, Daehwa Kim, Walter Talbott, Jian Zhang
2025	J	`jnl`	EgoDex: Learning Dexterous Manipulation from Large-Scale Egocentric Video. CoRR Ryan Hoque, Peide Huang, David J. Yoon, Mouli Sivapurapu, Jian Zhang
2024	J	`jnl`	CaDRE: Controllable and Diverse Generation of Safety-Critical Driving Scenarios using Real-World Trajectories. CoRR Peide Huang, Wenhao Ding, Jonathan Francis, Bingqing Chen, Ding Zhao
2024	—	`conf`	Construction of Virtual Simulation Teaching Platform for Risk Experimental Projects in VR Environment. ICSIM Gaocai Fu, Yu Jiang, Jun Xiao, Peide Huang, Xu Luo, Minhui Ni, Xianjv Liu
2024	J	`jnl`	Dynamics as Prompts: In-Context Learning for Sim-to-Real System Identifications. CoRR Xilun Zhang, Shiqi Liu, Peide Huang, William Jongwon Han, Yiqi Lyu, Mengdi Xu, Ding Zhao
2024	J	`jnl`	EMOTION: Expressive Motion Sequence Generation for Humanoid Robots with In-Context Learning. CoRR Peide Huang, Yuhan Hu, Nataliya Nechyporenko, Daehwa Kim, Walter Talbott, Jian Zhang
2024	—	`conf`	Gradient shaping for multi-constraint safe reinforcement learning. L4DC Yihang Yao, Zuxin Liu, Zhepeng Cen, Peide Huang, Tingnan Zhang, Wenhao Yu, Ding Zhao
2024	J	`jnl`	In-Home Gait Abnormality Detection Through Footstep-Induced Floor Vibration Sensing and Person-Invariant Contrastive Learning. IEEE J. Biomed. Health Informatics Yiwen Dong, Sung Eun Kim, Kornel Schadl, Peide Huang, Wenhao Ding, Jessica Rose, Hae Young Noh
2023	Misc	`conf`	Cardiac Disease Diagnosis on Imbalanced Electrocardiography Data Through Optimal Transport Augmentation. ICASSP Jielin Qiu, Jiacheng Zhu, Mengdi Xu, Peide Huang, Michael A. Rosenberg, Douglas Weber, Emerson Liu, Ding Zhao
2023	—	`conf`	Characterizing Crowd Preferences on Stadium Facilities through Dynamic Inverse Reinforcement Learning. BuildSys Yiwen Dong, Peide Huang, Hae Young Noh
2023	Misc	`conf`	Continual Vision-based Reinforcement Learning with Group Symmetries. CoRL Shiqi Liu, Mengdi Xu, Peide Huang, Xilun Zhang, Yongkang Liu, Kentaro Oguchi, Ding Zhao
2023	J	`jnl`	Creative Robot Tool Use with Large Language Models. CoRR Mengdi Xu, Peide Huang, Wenhao Yu, Shiqi Liu, Xilun Zhang, Yaru Niu, Tingnan Zhang, Fei Xia, Jie Tan, Ding Zhao
2023	—	`conf`	GameVibes: Vibration-based Crowd Monitoring for Sports Games through Audience-Game-Facility Association Modeling. BuildSys Yiwen Dong, Yuyan Wu, Jesse R. Codling, Jatin Aggarwal, Peide Huang, Wenhao Ding, Hugo Latapie, Pei Zhang, Hae Young Noh
2023	J	`jnl`	Gradient Shaping for Multi-Constraint Safe Reinforcement Learning. CoRR Yihang Yao, Zuxin Liu, Zhepeng Cen, Peide Huang, Tingnan Zhang, Wenhao Yu, Ding Zhao
2023	A	`conf`	Group Distributionally Robust Reinforcement Learning with Hierarchical Latent Variables. AISTATS Mengdi Xu, Peide Huang, Yaru Niu, Visak Kumar, Jielin Qiu, Chao Fang, Kuan-Hui Lee, Xuewei Qi, Henry Lam, Bo Li, Ding Zhao
2023	J	`jnl`	Multimodal Representation Learning of Cardiovascular Magnetic Resonance Imaging. CoRR Jielin Qiu, Peide Huang, Makiya Nakashima, Jaehyun Lee, Jiacheng Zhu, W. H. Wilson Tang, Pohao Chen, Christopher Nguyen, Byung-Hak Kim, Debbie Kwon, Douglas Weber, Ding Zhao, David Chen
2023	Misc	`conf`	What Went Wrong? Closing the Sim-to-Real Gap via Differentiable Causal Discovery. CoRL Peide Huang, Xilun Zhang, Ziang Cao, Shiqi Liu, Mengdi Xu, Wenhao Ding, Jonathan Francis, Bingqing Chen, Ding Zhao
2023	J	`jnl`	What Went Wrong? Closing the Sim-to-Real Gap via Differentiable Causal Discovery. CoRR Peide Huang, Xilun Zhang, Ziang Cao, Shiqi Liu, Mengdi Xu, Wenhao Ding, Jonathan Francis, Bingqing Chen, Ding Zhao
2022	—	`conf`	Coalitional Fairness of Autonomous Vehicles at a T-Intersection. ITSC Diana Gómez, Haohong Lin, Peide Huang, Corey Harper, Ding Zhao
2022	J	`jnl`	Continual Reinforcement Learning with Group Symmetries. CoRR Shiqi Liu, Mengdi Xu, Peide Huang, Yongkang Liu, Kentaro Oguchi, Ding Zhao
2022	A*	`conf`	Curriculum Reinforcement Learning using Optimal Transport via Gradual Domain Adaptation. NeurIPS Peide Huang, Mengdi Xu, Jiacheng Zhu, Laixi Shi, Fei Fang, Ding Zhao
2022	J	`jnl`	Curriculum Reinforcement Learning using Optimal Transport via Gradual Domain Adaptation. CoRR Peide Huang, Mengdi Xu, Jiacheng Zhu, Laixi Shi, Fei Fang, Ding Zhao
2022	J	`jnl`	Group Distributionally Robust Reinforcement Learning with Hierarchical Latent Variables. CoRR Mengdi Xu, Peide Huang, Yaru Niu, Visak Kumar, Jielin Qiu, Chao Fang, Kuan-Hui Lee, Xuewei Qi, Henry Lam, Bo Li, Ding Zhao
2022	A*	`conf`	Robust Reinforcement Learning as a Stackelberg Game via Adaptively-Regularized Adversarial Training. IJCAI Peide Huang, Mengdi Xu, Fei Fang, Ding Zhao
2022	J	`jnl`	Robust Reinforcement Learning as a Stackelberg Game via Adaptively-Regularized Adversarial Training. CoRR Peide Huang, Mengdi Xu, Fei Fang, Ding Zhao
2022	A	`conf`	Scalable Safety-Critical Policy Evaluation with Accelerated Rare Event Sampling. IROS Mengdi Xu, Peide Huang, Fengpei Li, Jiacheng Zhu, Xuewei Qi, Kentaro Oguchi, Zhiyuan Huang, Henry Lam, Ding Zhao
2022	J	`jnl`	Trustworthy Reinforcement Learning Against Intrinsic Vulnerabilities: Robustness, Safety, and Generalizability. CoRR Mengdi Xu, Zuxin Liu, Peide Huang, Wenhao Ding, Zhepeng Cen, Bo Li, Ding Zhao
2021	J	`jnl`	Accelerated Policy Evaluation: Learning Adversarial Environments with Adaptive Importance Sampling. CoRR Mengdi Xu, Peide Huang, Fengpei Li, Jiacheng Zhu, Xuewei Qi, Kentaro Oguchi, Zhiyuan Huang, Henry Lam, Ding Zhao