A Mixture Model-based Clustering Method for Fundamental Diagram Calibration Applied in Large Network Simulation. - Ding Wang; Kaan Ozbay; Zilin Bian (ITSC, 2020)

Toward the "New Normal": A Surge in Speeding, New Volume Patterns, and Recent Trends in Taxis/For-Hire Vehicles. - Jingqin Gao; Abhinav Bhattacharyya; Ding Wang; Nick Hudanich; Siva Sooryaa; Muruga Thambiran; Suzana Duran Bernardes; Chaekuk Na; Fan Zuo; Zilin Bian; Kaan Ozbay; Shri Iyer; et al. (CoRR, 2020)

Agent-based Simulation Model and Deep Learning Techniques to Evaluate and Predict Transportation Trends around COVID-19. - Ding Wang; Fan Zuo; Jingqin Gao; Brian Yueshuai He; Zilin Bian; Suzana Duran Bernardes; Chaekuk Na; Jingxing Wang; John Petinos; Kaan Ozbay; Joseph Y. J. Chow; Shri Iyer; et al. (CoRR, 2020)

Staged-Learning: Assessing the Quality of Screen Content Images from Distortion Information. - Jiachen Yang; Zilin Bian; Yang Zhao 027; Wen Lu; Xinbo Gao 001 (IEEE Signal Process. Lett., 2021)

Full-Reference Quality Assessment for Screen Content Images Based on the Concept of Global-Guidance and Local-Adjustment. - Jiachen Yang; Zilin Bian; Yang Zhao 027; Wen Lu; Xinbo Gao 001 (IEEE Trans. Broadcast., 2021)

No-Reference Quality Assessment for Screen Content Images Using Visual Edge Model and AdaBoosting Neural Network. - Jiachen Yang; Zilin Bian; Jiacheng Liu 003; Bin Jiang 003; Wen Lu; Xinbo Gao 001; Houbing Song (IEEE Trans. Image Process., 2021)

Learning When to See for Long-Term Traffic Data Collection on Power-Constrained Devices. - Ruixuan Zhang; Wenyu Han; Zilin Bian; Kaan Ozbay; Chen Feng 002 (ITSC, 2023)

Urban Work Zone Detection and Sizing: A Data-Centric Training and Topology-Based Inference Approach. - Fan Zuo; Jingqin Gao; Kaan Ozbay; Zilin Bian; Daniel Zhang (ITSC, 2023)

Less is More: Efficient Brain-Inspired Learning for Autonomous Driving Trajectory Prediction. - Haicheng Liao; Yongkang Li 003; Zhenning Li; Chengyue Wang 001; Guofa Li; Chunlin Tian; Zilin Bian; Kaiqun Zhu; Zhiyong Cui; Jia Hu 003 (ECAI, 2024)

Informed Along the Road: Roadway Capacity Driven Graph Convolution Network for Network-Wide Traffic Prediction. - Zilin Bian; Jingqin Gao; Kaan Ozbay; Fan Zuo; Dachuan Zuo; Zhenning Li (ITSC, 2024)

Toward an Enhanced Risk Assessment Sensitivity for Autonomous Vehicles with the Safety Potential Field Approach. - Dachuan Zuo; Zilin Bian; Fan Zuo; Kaan Ozbay (ITSC, 2024)

Highly Efficient No-reference 4K Video Quality Assessment with Full-Pixel Covering Sampling and Training Strategy. - Xiaoheng Tan; Jiabin Zhang; Yuhui Quan; Jing Li 026; Yajing Wu; Zilin Bian (ACM Multimedia, 2024)

Traffic Prediction considering Multiple Levels of Spatial-temporal Information: A Multi-scale Graph Wavelet-based Approach. - Zilin Bian; Jingqin Gao; Kaan Ozbay; Zhenning Li (CoRR, 2024)

Less is More: Efficient Brain-Inspired Learning for Autonomous Driving Trajectory Prediction. - Haicheng Liao; Yongkang Li 003; Zhenning Li; Chengyue Wang 001; Chunlin Tian; Yuming Huang; Zilin Bian; Kaiqun Zhu; Guofa Li; Ziyuan Pu; Jia Hu 003; Zhiyong Cui; et al. (CoRR, 2024)

Digital Twin-based Driver Risk-Aware Intelligent Mobility Analytics for Urban Transportation Management. - Tao Li 046; Zilin Bian; Haozhe Lei; Fan Zuo; Ya-Ting Yang; Quanyan Zhu; Zhenning Li; Zhibin Chen; Kaan Ozbay (CoRR, 2024)

Multi-level Traffic-Responsive Tilt Camera Surveillance through Predictive Correlated Online Learning. - Tao Li 046; Zilin Bian; Haozhe Lei; Fan Zuo; Ya-Ting Yang; Quanyan Zhu; Zhenning Li; Kaan Ozbay (CoRR, 2024)

Real-time Accident Anticipation for Autonomous Driving Through Monocular Depth-Enhanced 3D Modeling. - Haicheng Liao; Yongkang Li 003; Chengyue Wang 001; Songning Lai; Zhenning Li; Zilin Bian; Jaeyoung Lee 001; Zhiyong Cui; Guohui Zhang 001; ChengZhong Xu 001 (CoRR, 2024)

Assessing the Impact of Electric Vehicles on Traffic Emissions: An Agent-Based Modeling Approach considering Traveler Behavior Changes. - Ding Wang; Mohammad Tayarani; Jingqin Gao; Zilin Bian; Kaan Ozbay; H. Oliver Gao; Joseph Y. J. Chow (ANT/EDI40, 2025)

When language and vision meet road safety: leveraging multimodal large language models for video-based traffic accident analysis. - Ruixuan Zhang; Beichen Wang; Juexiao Zhang; Zilin Bian; Chen Feng 002; Kaan Ozbay (CoRR, 2025)

A multi-dimension and high-granularity equity measurement for transportation services through accessibility and reliability. - Mengke Ma; Zilin Bian; Jingqin Gao; Hai Yang; Joseph Chow 001; Kaan Ozbay (CoRR, 2025)

Aligning Vision to Language: Text-Free Multimodal Knowledge Graph Construction for Enhanced LLMs Reasoning. - Junming Liu; Siyuan Meng; Yanting Gao; Song Mao; Pinlong Cai; Guohang Yan; Yirong Chen; Zilin Bian; Botian Shi; Ding Wang (CoRR, 2025)

Traffic Adaptive Moving-window Service Patrolling for Real-time Incident Management during High-impact Events. - Haozhe Lei; Ya-Ting Yang; Tao Li 046; Zilin Bian; Fan Zuo; Sundeep Rangan; Kaan Ozbay (CoRR, 2025)

Composite Safety Potential Field for Highway Driving Risk Assessment. - Dachuan Zuo; Zilin Bian; Fan Zuo; Kaan Ozbay (CoRR, 2025)

STRAP: Spatial-Temporal Risk-Attentive Vehicle Trajectory Prediction for Autonomous Driving. - Xinyi Ning; Zilin Bian; Dachuan Zuo; Semiha Ergan (CoRR, 2025)