Hongpeng Cao - RankMe

22 papers A* 2A 3Journal 16Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Weakly-Supervised Disentangled Representation Learning via Filter-Based Adaptive Swapping. Trans. Mach. Learn. Res. Zhenyu Zong, Qidi Wang, Simon Yu, Hongpeng Cao, Yanbing Mao, Han Zhao, Lui Sha, Huajie Shao
2025	J	`jnl`	Bregman Centroid Guided Cross-Entropy Method. CoRR Yuliang Gu, Hongpeng Cao, Marco Caccamo, Naira Hovakimyan
2025	J	`jnl`	NLBAC: A neural ODE-based algorithm for state-wise stable and safe reinforcement learning. Neurocomputing Liqun Zhao, Keyan Miao, Hongpeng Cao, Konstantinos Gatsis, Antonis Papachristodoulou
2025	J	`jnl`	Observations Meet Actions: Learning Control-Sufficient Representations for Robust Policy Generalization. CoRR Yuliang Gu, Hongpeng Cao, Marco Caccamo, Naira Hovakimyan
2025	J	`jnl`	Runtime Learning of Quadruped Robots in Wild Environments. CoRR Yihao Cai, Yanbing Mao, Lui Sha, Hongpeng Cao, Marco Caccamo
2024	A	`conf`	Equivariant Ensembles and Regularization for Reinforcement Learning in Map-based Path Planning. IROS Mirco Theile, Hongpeng Cao, Marco Caccamo, Alberto L. Sangiovanni-Vincentelli
2024	J	`jnl`	Equivariant Ensembles and Regularization for Reinforcement Learning in Map-based Path Planning. CoRR Mirco Theile, Hongpeng Cao, Marco Caccamo, Alberto L. Sangiovanni-Vincentelli
2024	A*	`conf`	Physics-Regulated Deep Reinforcement Learning: Invariant Embeddings. ICLR Hongpeng Cao, Yanbing Mao, Lui Sha, Marco Caccamo
2024	J	`jnl`	Physics-model-guided Worst-case Sampling for Safe Reinforcement Learning. CoRR Hongpeng Cao, Yanbing Mao, Lui Sha, Marco Caccamo
2024	J	`jnl`	Simplex-enabled Safe Continual Learning Machine. CoRR Yihao Cai, Hongpeng Cao, Yanbing Mao, Lui Sha, Marco Caccamo
2023	J	`jnl`	6IMPOSE: bridging the reality gap in 6D pose estimation for robotic grasping. Frontiers Robotics AI Hongpeng Cao, Lukas Dirnberger, Daniele Bernardini, Cristina Piazza, Marco Caccamo
2023	J	`jnl`	Flexible Gear Assembly With Visual Servoing and Force Feedback. CoRR Junjie Ming, Daniel Bargmann, Hongpeng Cao, Marco Caccamo
2023	A	`conf`	Flexible Gear Assembly with Visual Servoing and Force Feedback. IROS Junjie Ming, Daniel Bargmann, Hongpeng Cao, Marco Caccamo
2023	J	`jnl`	Physical Deep Reinforcement Learning Towards Safety Guarantee. CoRR Hongpeng Cao, Yanbing Mao, Lui Sha, Marco Caccamo
2023	J	`jnl`	Physical Deep Reinforcement Learning: Safety and Unknown Unknowns. CoRR Hongpeng Cao, Yanbing Mao, Lui Sha, Marco Caccamo
2023	—	`conf`	Physics-Model-Regulated Deep Reinforcement Learning Towards Safety & Stability Guarantees. CDC Hongpeng Cao, Yanbing Mao, Lui Sha, Marco Caccamo
2023	A*	`conf`	Towards Safe AI: Sandboxing DNNs-Based Controllers in Stochastic Games. AAAI Bingzhuo Zhong, Hongpeng Cao, Majid Zamani, Marco Caccamo
2022	A	`conf`	Cloud-Edge Training Architecture for Sim-to-Real Deep Reinforcement Learning. IROS Hongpeng Cao, Mirco Theile, Federico G. Wyrwal, Marco Caccamo
2022	J	`jnl`	Cloud-Edge Training Architecture for Sim-to-Real Deep Reinforcement Learning. CoRR Hongpeng Cao, Mirco Theile, Federico G. Wyrwal, Marco Caccamo
2022	J	`jnl`	Learning 6D Pose Estimation from Synthetic RGBD Images for Robotic Applications. CoRR Hongpeng Cao, Lukas Dirnberger, Daniele Bernardini, Cristina Piazza, Marco Caccamo
2022	J	`jnl`	Sandboxing (AI-based) Unverified Controllers in Stochastic Games: An Abstraction-based Approach with Safe-visor Architecture. CoRR Bingzhuo Zhong, Hongpeng Cao, Majid Zamani, Marco Caccamo
2021	J	`jnl`	Safe-visor Architecture for Sandboxing (AI-based) Unverified Controllers in Stochastic Cyber-Physical Systems. CoRR Bingzhuo Zhong, Abolfazl Lavaei, Hongpeng Cao, Majid Zamani, Marco Caccamo