Peihan Li

According to our database, Peihan Li authored at least 20 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Failure-Aware Multi-Robot Coordination for Resilient and Adaptive Target Tracking.

Peihan Li, Jiazhen Liu, Yuwei Wu, Lifeng Zhou

IEEE Trans Autom. Sci. Eng., 2026

Competing recycling platforms' compatible strategy considering sorted policy.

Peihan Li, Yongjian Li, Pengwen Hou

Int. Trans. Oper. Res., 2026

2025

LLM-Flock: Decentralized Multi-Robot Flocking via Large Language Models and Influence-Based Consensus.

Peihan Li, Lifeng Zhou

CoRR, May, 2025

ACVUBench: Audio-Centric Video Understanding Benchmark.

Yudong Yang, Jimin Zhuang, Guangzhi Sun, Changli Tang, Yixuan Li, Peihan Li, Yifan Jiang, Wei Li, Zejun Ma, Chao Zhang

CoRR, March, 2025

Large Language Models for Multi-Robot Systems: A Survey.

Peihan Li, Zijian An, Shams Abrar, Lifeng Zhou

CoRR, February, 2025

ARNLE model identifies prevalence potential of SARS-CoV-2 variants.

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

Nat. Mac. Intell., 2025

Hierarchical LLMs in-the-Loop Optimization for Real-Time Multi-Robot Target Tracking Under Unknown Hazards.

Yuwei Wu, Yuezhan Tao, Peihan Li, Guangyao Shi, Gaurav S. Sukhatme, Vijay Kumar, Lifeng Zhou

Proceedings of the IEEE International Symposium on Multi-Robot and Multi-Agent Systems, 2025

Resilient Multi-Robot Target Tracking with Sensing and Communication Danger Zones.

Peihan Li, Yuwei Wu, Jiazhen Liu, Gaurav S. Sukhatme, Vijay Kumar, Lifeng Zhou

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2025

Audio-centric Video Understanding Benchmark without Text Shortcut.

Yudong Yang, Jimin Zhuang, Guangzhi Sun, Changli Tang, Yixuan Li, Peihan Li, Yifan Jiang, Wei Li, Zejun Ma, Chao Zhang

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

2024

Resilient and Adaptive Replanning for Multi-Robot Target Tracking with Sensing and Communication Danger Zones.

Peihan Li, Yuwei Wu, Jiazhen Liu, Gaurav S. Sukhatme, Vijay Kumar, Lifeng Zhou

CoRR, 2024

Domain-Transferred Synthetic Data Generation for Improving Monocular Depth Estimation.

Seungyeop Lee, Knut Peterson, Solmaz Arezoomandan, Bill Cai, Peihan Li, Lifeng Zhou, David K. Han

CoRR, 2024

Multi-Robot Target Tracking with Sensing and Communication Danger Zones.

Jiazhen Li, Peihan Li, Yuwei Wu, Gaurav S. Sukhatme, Vijay Kumar, Lifeng Zhou

CoRR, 2024

Challenges Faced by Large Language Models in Solving Multi-Agent Flocking.

Peihan Li, Vishnu Menon, Bhavanaraj Gudiguntla, Daniel Ting, Lifeng Zhou

CoRR, 2024

Learning Decentralized Flocking Controllers with Spatio-Temporal Graph Neural Network.

Siji Chen, Yanshen Sun, Peihan Li, Lifeng Zhou, Chang-Tien Lu

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

2023

Assignment Algorithms for Multi-Robot Multi-Target Tracking with Sufficient and Limited Sensing Capability.

Peihan Li, Lifeng Zhou

IROS, 2023

Flow-Based Rendezvous and Docking for Marine Modular Robots in Gyre-Like Environments.

Gedaliah Knizhnik, Peihan Li, Mark Yim, M. Ani Hsieh

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Spatial Temporal Graph Neural Networks for Decentralized Control of Robot Swarms.

Siji Chen, Yanshen Sun, Peihan Li, Lifeng Zhou, Chang-Tien Lu

Proceedings of the 31st ACM International Conference on Advances in Geographic Information Systems, 2023

2022

Flow-Based Control of Marine Robots in Gyre-Like Environments.

Gedaliah Knizhnik, Peihan Li, Xi Yu, M. Ani Hsieh

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

2021

A Novel Machine Learning-Assisted Policy Recommendation Method on COVID-19 Vaccination Campaign.

Bolin Song, Xiaoyu Wang, Peihan Li, Peng Sun, Azzedine Boukerche

Proceedings of the 25th IEEE/ACM International Symposium on Distributed Simulation and Real Time Applications, 2021

2020

Classification of Wildlife Based on Transfer Learning.

Xihao Wang, Peihan Li, Chengxi Zhu

Proceedings of the ICVIP 2020: The 4th International Conference on Video and Image Processing, 2020