Peihan Li

24 papers A* 4A 2C 1Journal 14Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
Failure-Aware Multi-Robot Coordination for Resilient and Adaptive Target Tracking.
IEEE Trans Autom. Sci. Eng.
Peihan Li, Jiazhen Liu, Yuwei Wu, Lifeng Zhou
2025 J jnl
ACVUBench: Audio-Centric Video Understanding Benchmark.
CoRR
Yudong Yang, Jimin Zhuang, Guangzhi Sun, Changli Tang, Yixuan Li, Peihan Li, Yifan Jiang, Wei Li, Zejun Ma, Chao Zhang
2025 J jnl
ARNLE model identifies prevalence potential of SARS-CoV-2 variants.
Nat. Mac. Intell.
Yuqi Liu, Jing Li, Peihan Li, Yehong Yang, Kaiying Wang, Jinhui Li, Lang Yang, Jiangfeng Liu, Leili Jia, Aiping Wu, Juntao Yang, Peng Li, Hongbin Song
2025 A* conf
Audio-centric Video Understanding Benchmark without Text Shortcut.
EMNLP
Yudong Yang, Jimin Zhuang, Guangzhi Sun, Changli Tang, Yixuan Li, Peihan Li, Yifan Jiang, Wei Li, Zejun Ma, Chao Zhang
2025 J jnl
Failure-Aware Multi-Robot Coordination for Resilient and Adaptive Target Tracking.
CoRR
Peihan Li, Jiazhen Liu, Yuwei Wu, Lifeng Zhou
2025 — conf
Hierarchical LLMs in-the-Loop Optimization for Real-Time Multi-Robot Target Tracking Under Unknown Hazards.
MRS
Yuwei Wu, Yuezhan Tao, Peihan Li, Guangyao Shi, Gaurav S. Sukhatme, Vijay Kumar, Lifeng Zhou
2025 J jnl
LLM-Flock: Decentralized Multi-Robot Flocking via Large Language Models and Influence-Based Consensus.
CoRR
Peihan Li, Lifeng Zhou
2025 J jnl
Large Language Models for Multi-Robot Systems: A Survey.
CoRR
Peihan Li, Zijian An, Shams Abrar, Lifeng Zhou
2025 A conf
Resilient Multi-Robot Target Tracking with Sensing and Communication Danger Zones.
IROS
Peihan Li, Yuwei Wu, Jiazhen Liu, Gaurav S. Sukhatme, Vijay Kumar, Lifeng Zhou
2024 J jnl
Challenges Faced by Large Language Models in Solving Multi-Agent Flocking.
CoRR
Peihan Li, Vishnu Menon, Bhavanaraj Gudiguntla, Daniel Ting, Lifeng Zhou
2024 J jnl
Domain-Transferred Synthetic Data Generation for Improving Monocular Depth Estimation.
CoRR
Seungyeop Lee, Knut Peterson, Solmaz Arezoomandan, Bill Cai, Peihan Li, Lifeng Zhou, David K. Han
2024 J jnl
Hierarchical LLMs In-the-loop Optimization for Real-time Multi-Robot Target Tracking under Unknown Hazards.
CoRR
Yuwei Wu, Yuezhan Tao, Peihan Li, Guangyao Shi, Gaurav S. Sukhatme, Vijay Kumar, Lifeng Zhou
2024 A* conf
Learning Decentralized Flocking Controllers with Spatio-Temporal Graph Neural Network.
ICRA
Siji Chen, Yanshen Sun, Peihan Li, Lifeng Zhou, Chang-Tien Lu
2024 J jnl
Multi-Robot Target Tracking with Sensing and Communication Danger Zones.
CoRR
Jiazhen Li, Peihan Li, Yuwei Wu, Gaurav S. Sukhatme, Vijay Kumar, Lifeng Zhou
2024 J jnl
Resilient and Adaptive Replanning for Multi-Robot Target Tracking with Sensing and Communication Danger Zones.
CoRR
Peihan Li, Yuwei Wu, Jiazhen Liu, Gaurav S. Sukhatme, Vijay Kumar, Lifeng Zhou
2023 A conf
Assignment Algorithms for Multi-Robot Multi-Target Tracking with Sufficient and Limited Sensing Capability.
IROS
Peihan Li, Lifeng Zhou
2023 J jnl
Assignment Algorithms for Multi-Robot Multi-Target Tracking with Sufficient and Limited Sensing Capability.
CoRR
Peihan Li, Lifeng Zhou
2023 A* conf
Flow-Based Rendezvous and Docking for Marine Modular Robots in Gyre-Like Environments.
ICRA
Gedaliah Knizhnik, Peihan Li, Mark Yim, M. Ani Hsieh
2023 J jnl
Learning Decentralized Flocking Controllers with Spatio-Temporal Graph Neural Network.
CoRR
Siji Chen, Yanshen Sun, Peihan Li, Lifeng Zhou, Chang-Tien Lu
2023 — conf
Spatial Temporal Graph Neural Networks for Decentralized Control of Robot Swarms.
SIGSPATIAL/GIS
Siji Chen, Yanshen Sun, Peihan Li, Lifeng Zhou, Chang-Tien Lu
2022 A* conf
Flow-Based Control of Marine Robots in Gyre-Like Environments.
ICRA
Gedaliah Knizhnik, Peihan Li, Xi Yu, M. Ani Hsieh
2022 J jnl
Flow-Based Control of Marine Robots in Gyre-Like Environments.
CoRR
Gedaliah Knizhnik, Peihan Li, Xi Yu, M. Ani Hsieh
2021 C conf
A Novel Machine Learning-Assisted Policy Recommendation Method on COVID-19 Vaccination Campaign.
DS-RT
Bolin Song, Xiaoyu Wang, Peihan Li, Peng Sun, Azzedine Boukerche
2020 — conf
Classification of Wildlife Based on Transfer Learning.
ICVIP
Xihao Wang, Peihan Li, Chengxi Zhu