Selected Publications

PrefCLM: Enhancing Preference-based Reinforcement Learning with Crowdsourced Large Language Models

Ruiqi Wang†, Dezhong Zhao†, Ziqin Yuan, Ike Obi, and Byung-Cheol Min.

IEEE Robotics and Automation Letters, Vol. 10, No. 3, pp. 2486-2493, March 2025.

Cognitive Load-based Affective Workload Allocation for Multi-Human Multi-Robot Teams

Wonse Jo, Ruiqi Wang, Baijian Yang, Dan Foti, Mo Rastgaar, and Byung-Cheol Min.

IEEE Transactions on Human-Machine Systems, Vol. 55, No. 1, pp. 23-36, February 2025.

Multimodal Audio-based Disease Prediction with Transformer-based Hierarchical Fusion Network

Jinjin Cai†, Ruiqi Wang†, Dezhong Zhao, Ziqin Yuan, Victoria McKenna, Aaron Friedman, Rachel Foot, Susan Storey, Ryan Boente, Sudip Vhaduri, and Byung-Cheol Min.

IEEE Transactions on Audio, Speech, and Language Processing, vol. 33, pp. 1170-1182, February 2025.

Initial Task Allocation in Multi-Human Multi-Robot Teams: An Attention-enhanced Hierarchical Reinforcement Learning Approach

Ruiqi Wang†, Dezhong Zhao†, Arjun Gupte§, and Byung-Cheol Min.

IEEE Robotics and Automation Letters, vol. 9, no. 4, pp. 3451-3458, April 2024.

Husformer: A Multi-Modal Transformer for Multi-Modal Human State Recognition

Ruiqi Wang†, Wonse Jo†, Dezhong Zhao, Weizheng Wang, Baijian Yang, Guohua Chen, and Byung-Cheol Min.

IEEE Transactions on Cognitive and Developmental Systems, Vol. 16, No. 4, pp. 1374-1390, August 2024.

MOCAS: A Multimodal Dataset for Objective Cognitive Workload Assessment on Simultaneous Tasks

Wonse Jo†, Ruiqi Wang†, Go-Eum Cha, Su Sun, Revanth Senthilkumaran§, Daniel Foti, and Byung-Cheol Min.

IEEE Transactions on Affective Computing, Early Access, 2024.

PRIMT: Preference-based Reinforcement Learning with Multimodal Feedback and Trajectory Synthesis from Foundation Models

Ruiqi Wang†, Dezhong Zhao†§, Ziqin Yuan†§, Tianyu Shao, Guohua Chen, Dominic Kao, Sungeun Hong, and Byung-Cheol Min.

Advances in Neural Information Processing Systems (NeurIPS), San Diego, USA, December 2025.

PrefMMT: Modeling Human Preferences in Preference-based Reinforcement Learning with Multimodal Transformers

Dezhong Zhao†§, Ruiqi Wang†, Dayoon Suh, Taehyeon Kim, Ziqin Yuan, Byung-Cheol Min, and Guohua Chen.

IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Hangzhou, China, October 2025.

Modeling and Evaluating Trust Dynamics in Multi-Human Multi-Robot Task Allocation

Ike Obi, Ruiqi Wang, Wonse Jo, and Byung-Cheol Min.

IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Hangzhou, China, October 2025.

Personalization in Human-Robot Interaction through Preference-based Action Representation Learning

Ruiqi Wang†, Dezhong Zhao†, Dayoon Suh§, Ziqin Yuan, Guohua Chen, and Byung-Cheol Min.

IEEE International Conference on Robotics and Automation (ICRA), Atlanta, USA, 19-23 May, 2025.

Adaptive Task Allocation in Multi-Human Multi-Robot Teams under Team Heterogeneity and Dynamic Information Uncertainty

Ziqin Yuan†, Ruiqi Wang†, Taehyeon Kim, Dezhong Zhao, Ike Obi, and Byung-Cheol Min.

IEEE International Conference on Robotics and Automation (ICRA), Atlanta, USA, 19-23 May, 2025.

Multi-Robot Cooperative Socially-Aware Navigation using Multi-Agent Reinforcement Learning

Weizheng Wang, Le Mao, Ruiqi Wang, and Byung-Cheol Min.

International Conference on Robotics and Automation (ICRA 2024), Yokohama, Japan, May 13-17, 2024.

Initial Task Allocation for Multi-Human Multi-Robot Teams with Attention-based Deep Reinforcement Learning

Ruiqi Wang, Dezhong Zhao, and Byung-Cheol Min.

2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2023), Detroit, USA, October 1-5, 2023.

NaviSTAR: Socially Aware Robot Navigation with Hybrid Spatio-Temporal Graph Transformer and Preference Learning

Weizheng Wang, Ruiqi Wang, Le Mao, and Byung-Cheol Min.

2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2023), Detroit, USA, October 1-5, 2023.

Feedback-efficient Active Preference Learning for Socially Aware Robot Navigation

Ruiqi Wang, Weizheng Wang, and Byung-Cheol Min.

2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2022), Kyoto, Japan, October 23-27, 2022.

REBEL: Rule-based and Experience-enhanced Learning with LLMs for Initial Task Allocation in Multi-Human Multi-Robot Teams

Arjun Gupte†§, Ruiqi Wang†, L. N. Vishnunandan Venkatesh, Taehyeon Kim, Dezhong Zhao, and Byung-Cheol Min.