Selected Publications

†: Equal contribution; §: Mentored student

Journal Papers

• [IEEE RA-L] 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.
  [Paper] [Website] [Video]

• [IEEE THMS] 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.
  [Paper] [Website] [Video]

• [IEEE TASLP] 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.
  [Paper] [Website]

• [IEEE RA-L] 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, doi: 10.1109/LRA.2024.3366414.
  [Paper] [Website] [Video]

• [IEEE TCDS] 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.
  [Paper] [Code]

• [IEEE TAFFC] 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.
  [Paper] [Video] [Dataset]

Conference Papers

• [ICRA 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.
  [Website] [ArXiv] [Video]

• [ICRA 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.
  [Website] [ArXiv] [Video]

• [ICRA 2024] 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.
  [Paper]

• [IROS 2023] 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.
  [Paper] [Website] [Video]

• [IROS 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.
  [Paper] [Code]

• [IROS 2022] 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.
  [Paper] [Website] [Video]

Pre-prints/Under Review

• 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.
  [Website] [ArXiv] [Video] [Code]

• 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.
  [Website] [ArXiv] [Video]

• Investigating the Impact of Trust in Multi-Human Multi-Robot Task Allocation
  
  Ike Obi, Ruiqi Wang, Wonse Jo, and Byung-Cheol Min.
  [ArXiv] [Video]