Yuhong Cao - RankMe

46 papers A* 4A 2B 1Misc 3Journal 34Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	COIN: Collaborative Interaction-Aware Multi-Agent Reinforcement Learning for Self-Driving Systems. CoRR Yifeng Zhang, Jieming Chen, Tingguang Zhou, Tanishq Duhan, Jianghong Dong, Yuhong Cao, Guillaume Sartoretti
2026	J	`jnl`	FARE: Fast-Slow Agentic Robotic Exploration. CoRR Shuhao Liao, Xuxin Lv, Jeric Lew, Shizhe Zhang, Jingsong Liang, Peizhuo Li, Yuhong Cao, Wenjun Wu, Guillaume Sartoretti
2026	J	`jnl`	GPO: Growing Policy Optimization for Legged Robot Locomotion and Whole-Body Control. CoRR Shuhao Liao, Peizhuo Li, Xinrong Yang, Linnan Chang, Zhaoxin Fan, Qing Wang, Lei Shi, Yuhong Cao, Wenjun Wu, Guillaume Sartoretti
2026	J	`jnl`	ImagiNav: Scalable Embodied Navigation via Generative Visual Prediction and Inverse Dynamics. CoRR Jie Chen, Yuxin Cai, Yizhuo Wang, Ruofei Bai, Yuhong Cao, Jun Li, Yau Wei Yun, Guillaume Sartoretti
2026	J	`jnl`	ORION: Option-Regularized Deep Reinforcement Learning for Cooperative Multi-Agent Online Navigation. CoRR Shizhe Zhang, Jingsong Liang, Zhitao Zhou, Shuhan Ye, Yizhuo Wang, Derek Ming Siang Tan, Jimmy Chiun, Yuhong Cao, Guillaume Sartoretti
2025	J	`jnl`	AID: Agent Intent from Diffusion for Multi-Agent Informative Path Planning. CoRR Jeric Lew, Yuhong Cao, Derek Ming Siang Tan, Guillaume Sartoretti
2025	J	`jnl`	APEX: Action Priors Enable Efficient Exploration for Skill Imitation on Articulated Robots. CoRR Shivam Sood, Laukik B. Nakhwa, Yuhong Cao, Ge Sun, Guillaume Sartoretti
2025	J	`jnl`	Attention-based Learning for 3D Informative Path Planning. CoRR Rui Zhao, Xingjian Zhang, Yuhong Cao, Yizhuo Wang, Guillaume Sartoretti
2025	J	`jnl`	CogniPlan: Uncertainty-Guided Path Planning with Conditional Generative Layout Prediction. CoRR Yizhuo Wang, Haodong He, Jingsong Liang, Yuhong Cao, Ritabrata Chakraborty, Guillaume Sartoretti
2025	A*	`conf`	DARE: Diffusion Policy for Autonomous Robot Exploration. ICRA Yuhong Cao, Jeric Lew, Jingsong Liang, Jin Cheng, Guillaume Sartoretti
2025	J	`jnl`	GRATE: a Graph transformer-based deep Reinforcement learning Approach for Time-efficient autonomous robot Exploration. CoRR Haozhan Ni, Jingsong Liang, Chenyu He, Yuhong Cao, Guillaume Sartoretti
2025	J	`jnl`	HDPlanner: Advancing Autonomous Deployments in Unknown Environments Through Hierarchical Decision Networks. IEEE Robotics Autom. Lett. Jingsong Liang, Yuhong Cao, Yixiao Ma, Hanqi Zhao, Guillaume Sartoretti
2025	J	`jnl`	HEADER: Hierarchical Robot Exploration via Attention-Based Deep Reinforcement Learning with Expert-Guided Reward. CoRR Yuhong Cao, Yizhuo Wang, Jingsong Liang, Shuhao Liao, Yifeng Zhang, Peizhuo Li, Guillaume Sartoretti
2025	J	`jnl`	HELM: Human-Preferred Exploration with Language Models. CoRR Shuhao Liao, Xuxin Lv, Yuhong Cao, Jeric Lew, Wenjun Wu, Guillaume Sartoretti
2025	J	`jnl`	HeLoM: Hierarchical Learning for Whole-Body Loco-Manipulation in Hexapod Robot. CoRR Xinrong Yang, Peizhuo Li, Hongyi Li, Junkai Lu, Linnan Chang, Yuhong Cao, Yifeng Zhang, Ge Sun, Guillaume Sartoretti
2025	J	`jnl`	Heterogeneous Multi-robot Task Allocation and Scheduling via Reinforcement Learning. IEEE Robotics Autom. Lett. Weiheng Dai, Utkarsh Rai, Jimmy Chiun, Yuhong Cao, Guillaume Sartoretti
2025	J	`jnl`	KiVi: Kinesthetic-Visuospatial Integration for Dynamic and Safe Egocentric Legged Locomotion. CoRR Peizhuo Li, Hongyi Li, Yuxuan Ma, Linnan Chang, Xinrong Yang, Ruiqi Yu, Yifeng Zhang, Yuhong Cao, Qiuguo Zhu, Guillaume Sartoretti
2025	A*	`conf`	MARVEL: Multi-Agent Reinforcement Learning for Constrained Field-of-View Multi-Robot Exploration in Large-Scale Environments. ICRA Jimmy Chiun, Shizhe Zhang, Yizhuo Wang, Yuhong Cao, Guillaume Sartoretti
2025	J	`jnl`	MARVEL: Multi-Agent Reinforcement Learning for constrained field-of-View multi-robot Exploration in Large-scale environments. CoRR Jimmy Chiun, Shizhe Zhang, Yizhuo Wang, Yuhong Cao, Guillaume Sartoretti
2025	J	`jnl`	Multimodal Fused Learning for Solving the Generalized Traveling Salesman Problem in Robotic Task Planning. CoRR Jiaqi Chen, Mingfeng Fan, Xuefeng Zhang, Jingsong Liang, Yuhong Cao, Guohua Wu, Guillaume Adrien Sartoretti
2025	B	`conf`	Neural Algorithmic Reasoners informed Large Language Model for Multi-Agent Path Finding. IJCNN Pu Feng, Size Wang, Yuhong Cao, Junkang Liang, Rongye Shi, Wenjun Wu
2025	J	`jnl`	Neural Algorithmic Reasoners informed Large Language Model for Multi-Agent Path Finding. CoRR Pu Feng, Size Wang, Yuhong Cao, Junkang Liang, Rongye Shi, Wenjun Wu
2025	J	`jnl`	SATA: Safe and Adaptive Torque-Based Locomotion Policies Inspired by Animal Learning. CoRR Peizhuo Li, Hongyi Li, Ge Sun, Jin Cheng, Xinrong Yang, Guillaume Bellegarda, Milad Shafiee, Yuhong Cao, Auke Jan Ijspeert, Guillaume Sartoretti
2025	A*	`conf`	SIGMA: Sheaf-Informed Geometric Multi-Agent Pathfinding. ICRA Shuhao Liao, Weihang Xia, Yuhong Cao, Weiheng Dai, Chengyang He, Wenjun Wu, Guillaume Sartoretti
2025	J	`jnl`	SIGMA: Sheaf-Informed Geometric Multi-Agent Pathfinding. CoRR Shuhao Liao, Weihang Xia, Yuhong Cao, Weiheng Dai, Chengyang He, Wenjun Wu, Guillaume Sartoretti
2025	J	`jnl`	Search-TTA: A Multimodal Test-Time Adaptation Framework for Visual Search in the Wild. CoRR Derek Ming Siang Tan, Shailesh, Boyang Liu, Alok Raj, Qi Xuan Ang, Weiheng Dai, Tanishq Duhan, Jimmy Chiun, Yuhong Cao, Florian Shkurti, Guillaume Sartoretti
2024	J	`jnl`	DARE: Diffusion Policy for Autonomous Robot Exploration. CoRR Yuhong Cao, Jeric Lew, Jingsong Liang, Jin Cheng, Guillaume Sartoretti
2024	J	`jnl`	Deep Reinforcement Learning-Based Large-Scale Robot Exploration. IEEE Robotics Autom. Lett. Yuhong Cao, Rui Zhao, Yizhuo Wang, Bairan Xiang, Guillaume Sartoretti
2024	J	`jnl`	Deep Reinforcement Learning-based Large-scale Robot Exploration. CoRR Yuhong Cao, Rui Zhao, Yizhuo Wang, Bairan Xiang, Guillaume Sartoretti
2024	J	`jnl`	HDPlanner: Advancing Autonomous Deployments in Unknown Environments through Hierarchical Decision Networks. CoRR Jingsong Liang, Yuhong Cao, Yixiao Ma, Hanqi Zhao, Guillaume Sartoretti
2024	A	`conf`	IR IROS Derek Ming Siang Tan, Yixiao Ma, Jingsong Liang, Yi Cheng Chng, Yuhong Cao, Guillaume Sartoretti
2024	J	`jnl`	IR2: Implicit Rendezvous for Robotic Exploration Teams under Sparse Intermittent Connectivity. CoRR Derek Ming Siang Tan, Yixiao Ma, Jingsong Liang, Yi Cheng Chng, Yuhong Cao, Guillaume Sartoretti
2024	J	`jnl`	Privileged Reinforcement and Communication Learning for Distributed, Bandwidth-limited Multi-robot Exploration. CoRR Yixiao Ma, Jingsong Liang, Yuhong Cao, Derek Ming Siang Tan, Guillaume Sartoretti
2024	J	`jnl`	STAR: Swarm Technology for Aerial Robotics Research. CoRR Jimmy Chiun, Yan Rui Tan, Yuhong Cao, John Tan, Guillaume Sartoretti
2024	Misc	`conf`	ViPER: Visibility-based Pursuit-Evasion via Reinforcement Learning. CoRL Yizhuo Wang, Yuhong Cao, Jimmy Chiun, Subhadeep Koley, Mandy Pham, Guillaume Adrien Sartoretti
2023	A*	`conf`	ARiADNE: A Reinforcement learning approach using Attention-based Deep Networks for Exploration. ICRA Yuhong Cao, Tianxiang Hou, Yizhuo Wang, Xian Yi, Guillaume Sartoretti
2023	J	`jnl`	ARiADNE: A Reinforcement learning approach using Attention-based Deep Networks for Exploration. CoRR Yuhong Cao, Tianxiang Hou, Yizhuo Wang, Xian Yi, Guillaume Sartoretti
2023	Misc	`conf`	Context-Aware Deep Reinforcement Learning for Autonomous Robotic Navigation in Unknown Area. CoRL Jingsong Liang, Zhichen Wang, Yuhong Cao, Jimmy Chiun, Mengqi Zhang, Guillaume Adrien Sartoretti
2023	—	`conf`	Intent-based Deep Reinforcement Learning for Multi-agent Informative Path Planning. MRS Tianze Yang, Yuhong Cao, Guillaume Sartoretti
2023	J	`jnl`	Intent-based Deep Reinforcement Learning for Multi-agent Informative Path Planning. CoRR Tianze Yang, Yuhong Cao, Guillaume Sartoretti
2023	A	`conf`	Spatio-Temporal Attention Network for Persistent Monitoring of Multiple Mobile Targets. IROS Yizhuo Wang, Yutong Wang, Yuhong Cao, Guillaume Sartoretti
2023	J	`jnl`	Spatio-Temporal Attention Network for Persistent Monitoring of Multiple Mobile Targets. CoRR Yizhuo Wang, Yutong Wang, Yuhong Cao, Guillaume Sartoretti
2022	Misc	`conf`	CAtNIPP: Context-Aware Attention-based Network for Informative Path Planning. CoRL Yuhong Cao, Yizhuo Wang, Apoorva Vashisth, Haolin Fan, Guillaume Sartoretti
2022	—	`conf`	DAN: Decentralized Attention-Based Neural Network for the MinMax Multiple Traveling Salesman Problem. DARS Yuhong Cao, Zhanhong Sun, Guillaume Sartoretti
2022	J	`jnl`	Distributed Reinforcement Learning for Robot Teams: A Review. CoRR Yutong Wang, Mehul Damani, Pamela Wang, Yuhong Cao, Guillaume Sartoretti
2021	J	`jnl`	DAN: Decentralized Attention-based Neural Network to Solve the MinMax Multiple Traveling Salesman Problem. CoRR Yuhong Cao, Zhanhong Sun, Guillaume Sartoretti