2026
RAST-MoE-RL: A Regime-Aware Spatio-Temporal MoE Framework for Deep Reinforcement Learning in Ride-Hailing
Yuhan Tang*, Kangxin Cui*, Jung Ho Park*, Yibo Zhao*, Xuan Jiang, Haoze He, Jiangbo Yu, Haris Koutsopoulos, Jinhua Zhao (* equal contribution)
Under review with ICLR 2026. 2026
RAST-MoE-RL: A Regime-Aware Spatio-Temporal MoE Framework for Deep Reinforcement Learning in Ride-Hailing
Yuhan Tang*, Kangxin Cui*, Jung Ho Park*, Yibo Zhao*, Xuan Jiang, Haoze He, Jiangbo Yu, Haris Koutsopoulos, Jinhua Zhao (* equal contribution)
Under review with ICLR 2026. 2026
ClassMind: Scaling Classroom Observation and Instructional Feedback with Multimodal AI
Ao Qu, Yuxi Wen, Jiayi Zhang, Yunge Wen, Yibo Zhao, Alok Prakash, Andres F. Salazar-Gomez, Paul Liang, Jinhua Zhao
Under review with CHI 2026. 2026
ClassMind: Scaling Classroom Observation and Instructional Feedback with Multimodal AI
Ao Qu, Yuxi Wen, Jiayi Zhang, Yunge Wen, Yibo Zhao, Alok Prakash, Andres F. Salazar-Gomez, Paul Liang, Jinhua Zhao
Under review with CHI 2026. 2026
2025
Personalized Decision Modeling: Utility Optimization or Textualized-Symbolic Reasoning
Yibo Zhao, Yang Zhao, Hongru Du, Hao Frank Yang
Advances in Neural Information Processing Systems (NeurIPS), accepted. 2025 Spotlight
Personalized Decision Modeling: Utility Optimization or Textualized-Symbolic Reasoning
Yibo Zhao, Yang Zhao, Hongru Du, Hao Frank Yang
Advances in Neural Information Processing Systems (NeurIPS), accepted. 2025 Spotlight
From Patchwork to Network: A Comprehensive Framework for Demand Analysis and Fleet Optimization of Urban Air Mobility
Xuan Jiang, Xuanyu Zhou, Yibo Zhao, Shangqing Cao, Jinhua Zhao, Mark Hansen, Raja Sengupta
Transportation Research Board (TRB), accepted. 2025
From Patchwork to Network: A Comprehensive Framework for Demand Analysis and Fleet Optimization of Urban Air Mobility
Xuan Jiang, Xuanyu Zhou, Yibo Zhao, Shangqing Cao, Jinhua Zhao, Mark Hansen, Raja Sengupta
Transportation Research Board (TRB), accepted. 2025
DRBO—A Regional Scale Simulator Calibration Framework Based on Day-to-Day Dynamic Routing and Bayesian Optimization
Yibo Zhao*, Xuan Jiang*, Chonghe Jiang, Junzhe Cao, Alexander Skabardonis, Alexander Kurzhanskiy, Raja Sengupta (* equal contribution)
Smart Cities 2025
DRBO—A Regional Scale Simulator Calibration Framework Based on Day-to-Day Dynamic Routing and Bayesian Optimization
Yibo Zhao*, Xuan Jiang*, Chonghe Jiang, Junzhe Cao, Alexander Skabardonis, Alexander Kurzhanskiy, Raja Sengupta (* equal contribution)
Smart Cities 2025
SafeTraffic Copilot: Adapting Large Language Models for Trustworthy Traffic Safety Assessments and Policy Interventions
Yang Zhao, Pu Wang, Yibo Zhao, Hongru Du, Hao Frank Yang
Nature Communications, accepted. 2025
SafeTraffic Copilot: Adapting Large Language Models for Trustworthy Traffic Safety Assessments and Policy Interventions
Yang Zhao, Pu Wang, Yibo Zhao, Hongru Du, Hao Frank Yang
Nature Communications, accepted. 2025
2022
Vessel Site Selection for Autonomous Cannulation Under NIR Image Guidance
Yibo Zhao, Jiarui Ji, Tenghui Xie, Fuxin Du, Peng Qi
Intelligent Robotics and Applications (ICIRA 2022), Harbin, China, 88–99. 2022
Vessel Site Selection for Autonomous Cannulation Under NIR Image Guidance
Yibo Zhao, Jiarui Ji, Tenghui Xie, Fuxin Du, Peng Qi
Intelligent Robotics and Applications (ICIRA 2022), Harbin, China, 88–99. 2022
Automated Vein Segmentation from NIR Images Using a Mixer-UNet Model
Jiarui Ji, Yibo Zhao, Tenghui Xie, Fuxin Du, Peng Qi
Intelligent Robotics and Applications (ICIRA 2022), Harbin, China, 64–75. 2022
Automated Vein Segmentation from NIR Images Using a Mixer-UNet Model
Jiarui Ji, Yibo Zhao, Tenghui Xie, Fuxin Du, Peng Qi
Intelligent Robotics and Applications (ICIRA 2022), Harbin, China, 64–75. 2022