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Journal Articles
- 2021
[j3]Jiachen Yang
, Zilin Bian, Yang Zhao, Wen Lu, Xinbo Gao:
Staged-Learning: Assessing the Quality of Screen Content Images from Distortion Information. IEEE Signal Process. Lett. 28: 1480-1484 (2021)- [j2]Jiachen Yang, Zilin Bian, Yang Zhao, Wen Lu, Xinbo Gao:
Full-Reference Quality Assessment for Screen Content Images Based on the Concept of Global-Guidance and Local-Adjustment. IEEE Trans. Broadcast. 67(3): 696-709 (2021) - [j1]Jiachen Yang, Zilin Bian, Jiacheng Liu, Bin Jiang, Wen Lu, Xinbo Gao, Houbing Song:
No-Reference Quality Assessment for Screen Content Images Using Visual Edge Model and AdaBoosting Neural Network. IEEE Trans. Image Process. 30: 6801-6814 (2021)
Conference and Workshop Papers
- 2024
- [c5]Haicheng Liao, Yongkang Li, Zhenning Li, Chengyue Wang, Guofa Li, Chunlin Tian, Zilin Bian, Kaiqun Zhu, Zhiyong Cui, Jia Hu:
Less is More: Efficient Brain-Inspired Learning for Autonomous Driving Trajectory Prediction. ECAI 2024: 4361-4368 - [c4]Xiaoheng Tan, Jiabin Zhang, Yuhui Quan, Jing Li, Yajing Wu, Zilin Bian:
Highly Efficient No-reference 4K Video Quality Assessment with Full-Pixel Covering Sampling and Training Strategy. ACM Multimedia 2024: 9913-9922 - 2023
- [c3]Fan Zuo, Jingqin Gao, Kaan Ozbay, Zilin Bian, Daniel Zhang:
Urban Work Zone Detection and Sizing: A Data-Centric Training and Topology-Based Inference Approach. ITSC 2023: 3235-3240 - [c2]Ruixuan Zhang, Wenyu Han, Zilin Bian, Kaan Ozbay, Chen Feng:
Learning When to See for Long-Term Traffic Data Collection on Power-Constrained Devices. ITSC 2023: 4676-4682 - 2020
- [c1]Ding Wang, Kaan Ozbay, Zilin Bian:
A Mixture Model-based Clustering Method for Fundamental Diagram Calibration Applied in Large Network Simulation. ITSC 2020: 1-6
Informal and Other Publications
- 2024
- [i10]Ruixuan Zhang, Wenyu Han, Zilin Bian, Kaan Ozbay, Chen Feng:
Learning When to See for Long-term Traffic Data Collection on Power-constrained Devices. CoRR abs/2401.14504 (2024) - [i9]Zilin Bian, Jingqin Gao, Kaan Ozbay, Zhenning Li:
Traffic Prediction considering Multiple Levels of Spatial-temporal Information: A Multi-scale Graph Wavelet-based Approach. CoRR abs/2406.13038 (2024) - [i8]Zilin Bian, Jingqin Gao, Kaan Ozbay, Fan Zuo, Dachuan Zuo, Zhenning Li:
Informed along the road: roadway capacity driven graph convolution network for network-wide traffic prediction. CoRR abs/2406.13057 (2024) - [i7]Haicheng Liao, Yongkang Li, Zhenning Li, Chengyue Wang, Chunlin Tian, Yuming Huang, Zilin Bian, Kaiqun Zhu, Guofa Li, Ziyuan Pu, Jia Hu, Zhiyong Cui, Chengzhong Xu:
Less is More: Efficient Brain-Inspired Learning for Autonomous Driving Trajectory Prediction. CoRR abs/2407.07020 (2024) - [i6]Tao Li, Zilin Bian, Haozhe Lei, Fan Zuo, Ya-Ting Yang, Quanyan Zhu, Zhenning Li, Zhibin Chen, Kaan Ozbay:
Digital Twin-based Driver Risk-Aware Intelligent Mobility Analytics for Urban Transportation Management. CoRR abs/2407.15025 (2024) - [i5]Xiaoheng Tan, Jiabin Zhang, Yuhui Quan, Jing Li, Yajing Wu, Zilin Bian:
Highly Efficient No-reference 4K Video Quality Assessment with Full-Pixel Covering Sampling and Training Strategy. CoRR abs/2407.20766 (2024) - [i4]Tao Li, Zilin Bian, Haozhe Lei, Fan Zuo, Ya-Ting Yang, Quanyan Zhu, Zhenning Li, Kaan Ozbay:
Multi-level Traffic-Responsive Tilt Camera Surveillance through Predictive Correlated Online Learning. CoRR abs/2408.02208 (2024) - [i3]Haicheng Liao, Yongkang Li, Chengyue Wang, Songning Lai, Zhenning Li, Zilin Bian, Jaeyoung Lee, Zhiyong Cui, Guohui Zhang, ChengZhong Xu:
Real-time Accident Anticipation for Autonomous Driving Through Monocular Depth-Enhanced 3D Modeling. CoRR abs/2409.01256 (2024) - 2020
- [i2]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, Hani Nassif, Joseph Y. J. Chow:
Toward the "New Normal": A Surge in Speeding, New Volume Patterns, and Recent Trends in Taxis/For-Hire Vehicles. CoRR abs/2009.14018 (2020) - [i1]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, Hani Nassif, Xuegang (Jeff) Ban:
Agent-based Simulation Model and Deep Learning Techniques to Evaluate and Predict Transportation Trends around COVID-19. CoRR abs/2010.09648 (2020)
Coauthor Index
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