Initial Task Assignment in Multi-Human Multi-Robot Teams: An Attention-enhanced Hierarchical Reinforcement Learning Approach. - Ruiqi Wang; Dezhong Zhao; Arjun Gupte; Byung-Cheol Min (CoRR, 2023)

REBEL: Rule-based and Experience-enhanced Learning with LLMs for Initial Task Allocation in Multi-Human Multi-Robot Teams. - Arjun Gupte; Ruiqi Wang; Vishnunandan L. N. Venkatesh; Taehyeon Kim; Dezhong Zhao; Byung-Cheol Min (CoRR, 2024)

Large Language Models for Energy-Efficient Code: Emerging Results and Future Directions. - Huiyun Peng; Arjun Gupte; Nicholas John Eliopoulos; Chien Chou Ho; Rishi Mantri; Leo Deng; Wenxin Jiang 001; Yung-Hsiang Lu; Konstantin Läufer; George K. Thiruvathukal; James C. Davis 001 (CoRR, 2024)

Initial Task Allocation in Multi-Human Multi-Robot Teams: An Attention-Enhanced Hierarchical Reinforcement Learning Approach. - Ruiqi Wang; Dezhong Zhao; Arjun Gupte; Byung-Cheol Min (IEEE Robotics Autom. Lett., 2024)

Husformer: A Multimodal Transformer for Multimodal Human State Recognition. - Ruiqi Wang; Wonse Jo; Dezhong Zhao; Weizheng Wang 004; Arjun Gupte; Baijian Yang 001; Guohua Chen; Byung-Cheol Min (IEEE Trans. Cogn. Dev. Syst., 2024)

SysLLMatic: Large Language Models are Software System Optimizers. - Huiyun Peng; Arjun Gupte; Ryan Hasler; Nicholas John Eliopoulos; Chien Chou Ho; Rishi Mantri; Leo Deng; Konstantin Läufer; George K. Thiruvathukal; James C. Davis 001 (CoRR, 2025)