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Bin Rao

Ph.D. Student

State Key Laboratory of Internet of Things for Smart City (SKL-IOTSC)

University of Macau

Email: yc57416@um.edu.mo  /  abin_r@163.com
Bin Rao

About

I am a Ph.D. student at the State Key Laboratory of Internet of Things for Smart City (SKL-IOTSC), University of Macau, advised by Prof. Zhenning Li. My research focuses on building robust AI frameworks for Intelligent Transportation and Autonomous Driving, with an emphasis on trajectory prediction and planning, accident forecasting, and driver behavior recognition. I have published 10+ papers in top-tier journals and conferences, including TR-C, T-ITS, ICCV, AAAI, CVPR, and ACM MM.

News

Education

Publications

For a complete list, please see my Google Scholar profile.

TR-C
SAIL: Scene-aware Adaptive Iterative Learning for Long-Tail Trajectory Prediction in Autonomous Vehicles.
Bin Rao, Haicheng Liao, Chengyue Wang, Keqiang Li, Zhenning Li, and Hai Yang
Transportation Research Part C: Emerging Technologies 2026.
ICCV 2025
AMD: Adaptive Momentum and Decoupled Contrastive Learning Framework for Robust Long-Tail Trajectory Prediction.
Bin Rao, Haicheng Liao, Yanchen Guan, Chengyue Wang, Bonan Wang, Jiaxun Zhang, and Zhenning Li
IEEE/CVF International Conference on Computer Vision 2025. [AR: 2699/11239 = 24.0%]
AAAI 2026
Differentiable Semantic Meta-Learning Framework for Long-Tail Motion Forecasting in Autonomous Driving.
Bin Rao, Chengyue Wang, Haicheng Liao, Qianfang Wang, Yanchen Guan, Jiaxun Zhang, Xingcheng Liu, Meixin Zhu, Kanye Ye Wang, and Zhenning Li
AAAI Conference on Artificial Intelligence 2026. [AR: 4167/23680 = 17.6%]
IEEE TITS 2026
U3A: Uncertainty-Aware Accident Anticipation for Reliable Autonomous Driving.
Xingcheng Liu, Bin Rao (Co-first Author), Yanchen Guan, Wanping Liu, Chengyue Wang, Xuesong Wang, Dengbo He, Yang Liu, Zhenning Li, Keqiang Li, and Chengzhong Xu
IEEE Transactions on Intelligent Transportation Systems 2026.
AAAI 2026
Predict and Resist: Long-Term Accident Anticipation under Sensor Noise.
Xingcheng Liu, Bin Rao (Co-first Author), Yanchen Guan, Chengyue Wang, Haicheng Liao, Jiaxun Zhang, Chengyu Lin, Meixin Zhu, and Zhenning Li
AAAI Conference on Artificial Intelligence 2026. [AR: 4167/23680 = 17.6%]
IEEE TITS
Chain-of-Thought Guided Multimodal Large Language Models for Scene-Aware Accident Anticipation in Autonomous Driving.
Haicheng Liao, Bin Rao (Co-first Author), Haoyu Sun, Chengyue Wang, Qing Chang, Shengbo Eben Li, Chengzhong Xu, and Zhenning Li
IEEE Transactions on Intelligent Transportation Systems 2025.
Pose, Pixel, and Causality: Temporal Causal Reasoning for Multimodal Driver Behavior Recognition.
Bin Rao, Qianfang Wang, Pengpeng Xu, and Zhenning Li
COTA International Conference on Transportation Professionals (CICTP 2026).
Urban Road Network Travel Time Prediction Method Based on “node-link-network” Spatiotemporal Reconstruction: A License Plate Data-driven WGCN-BILSTM Model.
Weiwei Qi, Bin Rao (Co-first Author), Jiabing Wu
Measurement 2025.
SWIFT: A Small-World Interaction Framework for Flow-Aware Trajectory Prediction in Autonomous Driving.
Chengyue Wang, Bin Rao, Haicheng Liao, Bonan Wang, Chengzhong Xu, and Zhenning Li
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI 2026).
C^2T: Captioning-Structure and LLM-Aligned Common-Sense Reward Learning for Traffic-Vehicle Coordination.
Yuyang Chen, Kaiyan Zhao, Yiming Wang, Ming Yang, Bin Rao, Zhenning Li
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2026 Findings).
NEST: A Neuromodulated Small-world Hypergraph Trajectory Prediction Model for Autonomous Driving. Oral
Chengyue Wang, Haicheng Liao, Bonan Wang, Yanchen Guan, Bin Rao, Ziyuan Pu, Zhiyong Cui, Cheng-Zhong Xu, Zhenning Li
AAAI Conference on Artificial Intelligence (AAAI 2025). (Oral: 600/12957 = 4.6%)
Beyond Patterns: Harnessing Causal Logic for Autonomous Driving Trajectory Prediction.
Bonan Wang, Haicheng Liao, Chengyue Wang, Bin Rao, Yanchen Guan, Guyang Yu, Jiaxun Zhang, Songning Lai, Chengzhong Xu, Zhenning Li
International Joint Conference on Artificial Intelligence (IJCAI 2025).
Eyes on the Road, Mind Beyond Vision: Context-Aware Multi-modal Enhanced Risk Anticipation.
Jiaxun Zhang, Haicheng Liao, Yumu Xie, Chengyue Wang, Yanchen Guan, Bin Rao, Zhenning Li
ACM International Conference on Multimedia (ACM MM 2025).
Improving Visual Grounding for Autonomous Driving with Large Language Models. Best Paper
Haicheng Liao, Huanming Shen, Bin Rao, Bonan Wang, Chengyue Wang, Hao Yu, Zhenning Li
COTA International Conference on Transportation Professionals (CICTP 2025).
A Novel Filtering Method of Travel-Time Outliers Extracted from Large-Scale Traffic Checkpoint Data.
Weiwei Qi, Bin Rao, Chuanyun Fu
Journal of Transportation Engineering Part A: Systems (JTE 2024).

Awards

Teaching Assistant