Adaptive Leader-Follower Formation Control and Obstacle Avoidance via Deep Reinforcement Learning. - Yanlin Zhou; Fan Lu; George Pu; Xiyao Ma; Runhan Sun; Hsi-Yuan Chen; Xiaolin Li 001 (IROS, 2019)

Adaptive Leader-Follower Formation Control and Obstacle Avoidance via Deep Reinforcement Learning. - Yanlin Zhou; Fan Lu; George Pu; Xiyao Ma; Runhan Sun; Hsi-Yuan Chen; Xiaolin Andy Li; Dapeng Wu 001 (CoRR, 2019)

Distilled One-Shot Federated Learning. - Yanlin Zhou; George Pu; Xiyao Ma; Xiaolin Li 001; Dapeng Wu 001 (CoRR, 2020)

Seeing Through Walls: Real-Time Digital Twin Modeling of Indoor Spaces. - George Pu; Paul Wei; Amanda Aribe; James Boultinghouse; Nhi Dinh; Fang Xu; Eric Jing Du (WSC, 2021)

Server Averaging for Federated Learning. - George Pu; Yanlin Zhou; Dapeng Wu 001; Xiaolin Li 001 (CoRR, 2021)

"Kelly is a Warm Person, Joseph is a Role Model": Gender Biases in LLM-Generated Reference Letters. - Yixin Wan; George Pu; Jiao Sun; Aparna Garimella; Kai-Wei Chang; Nanyun Peng 001 (EMNLP (Findings), 2023)

Empirical Analysis of the Strengths and Weaknesses of PEFT Techniques for LLMs. - George Pu; Anirudh Jain; Jihan Yin; Russell Kaplan (CoRR, 2023)

Balancing Cost and Effectiveness of Synthetic Data Generation Strategies for LLMs. - Yung-Chieh Chan; George Pu; Apaar Shanker; Parth Suresh; Penn Jenks; John Heyer; Sam Denton (CoRR, 2024)

Assessing Robustness to Spurious Correlations in Post-Training Language Models. - Julia Shuieh; Prasann Singhal; Apaar Shanker; John Heyer; George Pu; Samuel Denton (CoRR, 2025)