Classification of Wildlife Based on Transfer Learning. - Xihao Wang; Peihan Li; Chengxi Zhu (ICVIP, 2020)

A Novel Machine Learning-Assisted Policy Recommendation Method on COVID-19 Vaccination Campaign. - Bolin Song; Xiaoyu Wang; Peihan Li; Peng Sun 007; Azzedine Boukerche (DS-RT, 2021)

Flow-Based Control of Marine Robots in Gyre-Like Environments. - Gedaliah Knizhnik; Peihan Li; Xi Yu 001; M. Ani Hsieh (ICRA, 2022)

Spatial Temporal Graph Neural Networks for Decentralized Control of Robot Swarms. - Siji Chen; Yanshen Sun; Peihan Li; Lifeng Zhou; Chang-Tien Lu (SIGSPATIAL/GIS, 2023)

Flow-Based Rendezvous and Docking for Marine Modular Robots in Gyre-Like Environments. - Gedaliah Knizhnik; Peihan Li; Mark Yim; M. Ani Hsieh (ICRA, 2023)

Assignment Algorithms for Multi-Robot Multi-Target Tracking with Sufficient and Limited Sensing Capability. - Peihan Li; Lifeng Zhou (IROS, 2023)

Learning Decentralized Flocking Controllers with Spatio-Temporal Graph Neural Network. - Siji Chen; Yanshen Sun; Peihan Li; Lifeng Zhou; Chang-Tien Lu (ICRA, 2024)

Challenges Faced by Large Language Models in Solving Multi-Agent Flocking. - Peihan Li; Vishnu Menon; Bhavanaraj Gudiguntla; Daniel Ting; Lifeng Zhou (CoRR, 2024)

Multi-Robot Target Tracking with Sensing and Communication Danger Zones. - Jiazhen Li; Peihan Li; Yuwei Wu 005; Gaurav S. Sukhatme; Vijay Kumar 001; 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)

Resilient and Adaptive Replanning for Multi-Robot Target Tracking with Sensing and Communication Danger Zones. - Peihan Li; Yuwei Wu 005; Jiazhen Liu; Gaurav S. Sukhatme; Vijay Kumar 001; Lifeng Zhou (CoRR, 2024)

Hierarchical LLMs In-the-loop Optimization for Real-time Multi-Robot Target Tracking under Unknown Hazards. - Yuwei Wu 005; Yuezhan Tao; Peihan Li; Guangyao Shi; Gaurav S. Sukhatme; Vijay Kumar 001; Lifeng Zhou (CoRR, 2024)

ARNLE model identifies prevalence potential of SARS-CoV-2 variants. - Yuqi Liu; Jing Li 121; Peihan Li; Yehong Yang; Kaiying Wang; Jinhui Li; Lang Yang; Jiangfeng Liu; Leili Jia; Aiping Wu; Juntao Yang; Peng Li 041; et al. (Nat. Mac. Intell., 2025)

Large Language Models for Multi-Robot Systems: A Survey. - Peihan Li; Zijian An; Shams Abrar; Lifeng Zhou (CoRR, 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, 2025)

LLM-Flock: Decentralized Multi-Robot Flocking via Large Language Models and Influence-Based Consensus. - Peihan Li; Lifeng Zhou (CoRR, 2025)