Publications

My research centers on robot learning from human feedback, enabling robots to generalize to new tasks and adapt to individual users. Alongside this core line, I have studied how robots perceive and adapt to broader human signals, such as cognitive workload and physiological state, and how these ideas extend to multi-human multi-robot teams.

Reverse chronological order. † Equal contribution · § Work I mentored · Also on Google Scholar.

2026

PrefO2O: Zero-Shot Preference-Based Reinforcement Learning via Offline-to-Online Latent Preference Transfer

Ruiqi Wang, Dezhong Zhao, Xuesu Xiao, Erdem Bıyık, Byung-Cheol Min, and Guohua Chen

HEAI Workshop, IROS 2026 Best Paper Award

PrefMoE: Robust Preference Modeling with Mixture-of-Experts Reward Learning

Ziqin Yuan†, Ruiqi Wang†§, Dezhong Zhao, Baijian Yang, and Byung-Cheol Min

IROS 2026

Paper Website

Pre-Execution Safety Gate for LLM-Based Robot Systems

Ike Obi, L. N. Vishnunandan Venkatesh, Weizheng Wang, Ruiqi Wang, Dayoon Suh, Temitope Ibrahim Amosa, Wonse Jo, and Byung-Cheol Min

IROS 2026

Paper

2025

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

NeurIPS 2025 Oral · Top 0.36%

Paper Website

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

IROS 2025

Paper Website Code Video

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

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

IROS 2025

Paper Video

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

ICRA 2025

Paper Website Video

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

ICRA 2025

Paper Website Video

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

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

IEEE RA-L 2025

Paper Website Video

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 T-HMS 2025

Paper Website Video

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/ACM T-ASLP 2025

Paper Website Code