Chenxi (Dylan) Liu

Chenxi (Dylan) Liu

Ph.D. Candidate
Civil & Environmental Engineering
University of Washington, Seattle

Incoming Assistant Professor
Civil & Environmental Engineering
University of Utah

You can also find all my papers on my Google Scholar profile.

Refereed Journal Publications

  1. C. Liu, C. Pu, L. Du, and Y. Wang*. “Potentials and Challenges of AI-Empowered Solutions to Urban Transportation Infrastructure Systems (UTIS): NSF AI-Transportation Workshop Phase I.” accepted by Journal of Transportation Engineering, Part A: Systems on Apr. 2024, in press.
  2. C. Pu, C. Liu, Y. Wang, and L. Du*. “Frontiers of Emerging AI Technologies Best Practices and Workforce Development in Transportation: NSF AI-Transportation Workshop Phase II.” accepted by Journal of Transportation Engineering, Part A: Systems on Apr. 2024, under in press. .
  3. Z. Cui, M. Tsai, M. Zhu, H. Yang, C. Liu, S. Yin and Y. Wang*. “Traffic Performance Score: Measure Urban Mobility and Online Predict Near-term Traffic like Weather Forecast.” Transportation Research Record, 2024. DOI
  4. C. Liu, F. Yang, R. Ke, S. Yin, and Y. Wang*. “Scale-Aware Representation Learning Empowered Sensing (SARLES) System for Pedestrian Crowds Perception in Complex Transportation Scenarios”, accepted by Transportation Research Part C on Oct 2023, in press.
  5. C. Liu, H. Yang, Z. Cui, M. Zhu, R. Ke and Y. Wang*. “3D Structural Information Sensing System (3D-SISS) based on Single Monocular Surveillance Camera for Fully-automatic Traffic Scene Perception”, accepted by IEEE Transaction on Intelligent Transportation Systems on Oct 2023, in press.
  6. C. Liu, H. Yang, M. Zhu, T. Vaa, and Y. Wang*. “Real-time Multi-task Environmental Perception System for Traffic Safety Empowered by Edge Artificial Intelligence”, in IEEE Transaction on Intelligent Transportation Systems, 2023. DOI
  7. C. Liu, H. Yang, Z. Cui, R. Ke, and Y. Wang*. “Cooperative and Comprehensive Multi-task Surveillance Sensing and Interaction System Empowered by Edge Artificial Intelligence” in Transportation Research Record, 2023. DOI
  8. C. Liu, H. Yang, R. Ke and Y. Wang*. “Toward a Dynamic Reversible Lane Management Strategy by Empowering Learning-Based Predictive Assignment Scheme.” in IEEE Transactions on Intelligent Transportation Systems, 2022. DOI
  9. H. Yang, J. Cai, C. Liu, R. Ke, and Y. Wang*. “Cooperative multi-camera vehicle tracking and traffic surveillance with edge artificial intelligence and representation learning.” in Transportation Research Part C: Emerging Technologies, 2022. DOI
  10. H. Yang, J. Cai, M. Zhu, C. Liu and Y. Wang*. “Traffic-Informed Multi-Camera Sensing (TIMS) System Based on Vehicle Re-Identification.” in IEEE Transactions on Intelligent Transportation Systems, 2022. DOI
  11. H. Yang, C. Liu, Y. Zhuang, W. Sun, K. Murthy, Z. Pu, and Y. Wang*. “Truck Parking Pattern Aggregation and Availability Prediction by Deep Learning.” in IEEE Transactions on Intelligent Transportation Systems, vol. 23, no. 8, pp. 12778-12789, 2022. DOI
  12. H. Yang, C. Liu, M. Zhu, X. Ban and Y. Wang*. “How Fast You Will Drive? Predicting Speed of Customized Paths By Deep Neural Network.” in IEEE Transactions on Intelligent Transportation Systems, vol. 23, no. 3, pp. 2045-2055, 2022. DOI
  13. M. Zhu, H. Yang, C. Liu, Z. Pu and Y. Wang*. “Real-time Crash Identification Using Connected Electric Vehicle Operation Data.” Accident Analysis & Prevention, 173(2022), p.106708, 2022. DOI
  14. R. Ke, C. Liu, H. Yang, W. Sun and Y. Wang*. “Real-Time Traffic and Road Surveillance with Parallel Edge Intelligence,” in IEEE Journal of Radio Frequency Identification, 2022. DOI
  15. X. Zhou, R. Ke*, H. Yang, **C. Liu. “When Intelligent Transportation Systems Sensing Meets Edge Computing: Vision and Challenges.” Applied Sciences. 2021; 11(20):9680. DOI.
  16. J. Guo, X. Zhu, C. Liu, and SS Ge, “Resilience modeling method of airport network affected by global public health events.” Mathematical Problems in Engineering 2021, 1-13, 2021. DOI.
  17. X. Fu, H. Yang, C. Liu, J. Wang and Y. Wang*. “A hybrid neural network for large-scale expressway network OD prediction based on toll data.” PloS one, 14(5), p.e0217241, 2019. DOI.

Refereed Conference Proceedings

  1. C. Liu, H. Yang, K. Ma, X. Jiang, S. Yin, and Y. Wang*. “Scale-Aware Representation Learning Empowered Sensing (SARLES) System for Pedestrian Crowds Perception in Complex Transportation Scenarios.”, Proceedings of the 103rd Annual Meeting of Transportation Research Board, Washington D.C. USA, Jan. 2024.
  2. C. Liu, L. Lu, Y. Zhang, H. Yang, M. Zhu, and Y. Wang*. “Single Monocular Camera System for Road Visibility Measurement: A Dark Channel Prior-Based Approach.”, Proceedings of the 103rd Annual Meeting of Transportation Research Board, Washington D.C. USA, Jan. 2024.
  3. S. Yin, R. Ke, C. Liu, Z. Cui, R. Shrestha, and Y. Wang*. “Automated Road Infrastructure Safety Assessments with Emerging Data Sources: a Survey.”, Proceedings of the 103rd Annual Meeting of Transportation Research Board, Washington D.C. USA, Jan. 2024.
  4. N. Jantarathaneewat, C. Liu, H. Yang, Y. Chen, M. Tsai, and Y. Wang*. “Advancing Automatic Asset Management: An Innovative System for Traffic Sign Detection and Recognition with Monocular Camera.”, Proceedings of the 103rd Annual Meeting of Transportation Research Board, Washington D.C. USA, Jan. 2024.
  5. H. Yang, C. Liu, B. Zhang, M. Tsai, Z. Pu, Y. Wang*. “Trustworthy Cost-effective Vehicle Recognition System Empowered by Micro-Pulse LiDAR and Edge Artificial Intelligence.”, Proceedings of the 103rd Annual Meeting of Transportation Research Board, Washington D.C. USA, Jan. 2024.
  6. H. Yang, C. Liu, M. Zhu, R. Ke, and Y. Wang*. “Mitigating the Bias for Traffic Visual Perception Systems Empowered by Learning Few-Shot Representations.”, Proceedings of the 103rd Annual Meeting of Transportation Research Board, Washington D.C. USA, Jan. 2024.
  7. M. Tsai, C. Liu, H. Yang, X. Jiang, M. Zhu, and Y. Wang*. “Unified Framework for Multi-Contrastive Learning in Spatial-Temporal Traffic Forecasting.”, Proceedings of the 103rd Annual Meeting of Transportation Research Board, Washington D.C. USA, Jan. 2024.
  8. C. Liu, O. Wiesner, H. Yang, M. Tsai, and Y. Wang*. “Bi-level Optimization Algorithm for Dynamic Reversible Lane Control based on Short-term Traffic Flow Prediction.”, Lectern Session, Accepted, 4th International Symposium on Freeway and Tollway Operations, Vienna, Austria, Jun. 2023.
  9. C. Liu, H. Yang, R. Ke, W. Sun, J. Wang and Y. Wang*. “Cooperative and Comprehensive Multi-task Surveillance Sensing and Interaction System Empowered by Edge Artificial Intelligence.” Best Paper Award of TRB AED30 Committee , Lectern Session, Proceedings of the 102nd Annual Meeting of Transportation Research Board, Washington D.C. USA, Jan. 2023.
  10. C. Liu, H. Yang, R. Ke and Y. Wang*. “Edge-based Automatic Real-time Road Surface Condition Monitoring System (RSCMS) based on Single Monocular Surveillance Camera.”, Proceedings of the 102nd Annual Meeting of Transportation Research Board, Washington D.C. USA, Jan. 2023.
  11. M. Zhu, H. Yang, C. Liu and Y. Wang*. “Multi-Agent Deep Reinforcement Learning for Network-Wide Traffic Signal Control.” Accepted, Proceedings of the 102nd Annual Meeting of Transportation Research Board, Washington D.C. USA, Jan. 2023.
  12. H. Yang, C. Liu, M. Zhu, Y. Wang*. “Cooperative Perception and Interaction Smart Node for Non-motorized Users and Disabilities Empowered by Edge Ensemble Learning (TRBAM-23-04541).” Proceedings of the 102nd Annual Meeting of Transportation Research Board, Washington D.C. USA, Jan. 2023.
  13. C. Liu, H. Yang, S. Yin, G. Dolley, and Y. Wang*. “Edge-based Real-time Roadway Environment Detection and Warning System for Traffic Safety based on Single Monocular Surveillance Camera”, First Prize , Lectern Session, 2nd MetroLab Network’s Annual Summit, Chicago, IL, USA, May 2022.
  14. C. Liu, H. Yang, Z. Cui, W. Sun, and Y. Wang*. “3D Structural Information Sensing System (3D-SISS) based on Car Keypoints Detection with Single Monocular Surveillance Camera (TRBAM-22-04562)”, Proceedings of the 101st Annual Meeting of Transportation Research Board, Washington D.C. USA, Jan. 2022.
  15. R. Ke, C. Liu, H. Yang, W. Sun and Y. Wang*. “Real-Time Traffic and Road Surveillance with Parallel Edge Intelligence”, Outstanding Paper Award , The 2nd IEEE International Conference on Digital Twins and Parallel Intelligence (IEEE DTPI), Boston, MA, USA, Oct. 2022.
  16. M. Tsai, Z. Cui, C. Liu, H. Yang and Y. Wang*. “An Incremental Learning-Based Framework for Non-Stationary Traffic Representations Clustering and Forecasting.” Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems (ITSC 2022), Macau, China, Oct. 2022.
  17. H. Yang, C. Liu, R. Ke, M. Zhu, and Y. Wang*. “RISTS: Real-time IoT System for Traffic Sensing by Edge Computing and Multi-camera Vehicle Re-identification (TRBAM-22-04404).” Lectern Session, Advances in Edge Computing for Intelligent Real-Time Traffic Sensing and Detection, Proceedings of the 101st Annual Meeting of Transportation Research Board, Washington D.C. USA, Jan. 2022.
  18. H. Yang, M. Tsai, C. Liu, and Y. Wang*. “Equity-aware Cost-effective Vehicle Classification System by Compact Pulse LiDAR and Edge Artificial Intelligence (TRBAM-22-04640).” Lectern Session, Advances in Edge Computing for Intelligent Real-Time Traffic Sensing and Detection. Proceedings of the 101st Annual Meeting of Transportation Research Board, Washington D.C. USA, Jan. 2022.
  19. R. Ke, C. Liu, Z. Pu, H. Yang, Y. Zhuang, and Y. Wang*. “Multi-Task System for Real-Time Surveillance of Road and Traffic with Edge Artificial Intelligence (TRBAM-22-00979)”, Lectern Session, Advances in Edge Computing for Intelligent Real-Time Traffic Sensing and Detection, Proceedings of the 101st Annual Meeting of Transportation Research Board, Washington D.C. USA, Jan. 2022.
  20. H. Yang, M. Tsai, C. Liu, and Y. Wang*. “Equity-aware Cost-effective Vehicle Classification System by Compact Pulse LiDAR and Edge Artificial Intelligence (TRBAM-22-04640).” Lectern Session, Advances in Edge Computing for Intelligent Real-Time Traffic Sensing and Detection. Proceedings of the 101st Annual Meeting of Transportation Research Board, Washington D.C. USA, Jan. 2022.
  21. Z. Cui, M. Tsai, H. Yang, C. Liu, and Y. Wang*. “Traffic Performance Score 2.0: Measure Urban Mobility and Online Predict Near-term Traffic like Weather Forecast (TRBAM-22-04705)”, Advances in Edge Computing for Intelligent Real-Time Traffic Sensing and Detection. Proceedings of the 101st Annual Meeting of Transportation Research Board, Washington D.C. USA, Jan. 2022.
  22. C. Liu, H. Yang, H. Chen, and Y. Wang*. “Bi-level Optimization Algorithm for Dynamic Reversible Lane Control based on Short-term Traffic Flow Prediction (TRBAM-21-03352).” Proceedings of the 100th Annual Meeting of Transportation Research Board, Washington D.C. USA, Jan. 2021.
  23. H. Yang, C. Liu, Y. Zhuang, W. Sun, and Y. Wang*. “Truck Parking Pattern Aggregation and Real-time Availability Prediction by Multi-task Learning (TRBAM-21-04040)” Proceedings of the 100th Annual Meeting of Transportation Research Board, Washington D.C. USA, Jan. 2021.
  24. H. Yang, C. Liu, R. Ke, M. Zhu, and Y. Wang*. “Privacy-preserving Non-motorized Users and Disabilities Detection and Tracking by Learning Few-shot Representations (TRBAM-21-02145).” Proceedings of the 100th Annual Meeting of Transportation Research Board, Washington D.C. USA, Jan. 2021.
  25. H. Yang, M. Zhu, R. Ke, C. Liu, and Y. Wang*. “Novel Network-Scale Traffic Sensing Approach Using Multi-camera Object Tracking and Re-Identification (TRBAM-21-04114).” Proceedings of the 100th Annual Meeting of Transportation Research Board, Washington D.C. USA, Jan. 2021.
  26. C. Liu, H. Yang, N. Dong, and Y. Wang*. “Advanced Multidimensional Sequence Alignment Method (AMSAM) for Activity-based Travel Pattern Similarity Identification.” Proceedings of 2020 ASCE International Conference on Transportation and Development (ICTD), Seattle, WA, USA, May 2020.
  27. C. Liu, H. Yang, P. Xu, X. Fu, and Y. Wang*. “Advanced Multidimensional Sequence Alignment Method for Activity-Based Travel Pattern Similarity Identification (TRBAM-20-03210).” Proceedings of the 99th Annual Meeting of Transportation Research Board, Washington D.C. USA, Jan. 2020.
  28. H. Yang, M. Zhu, C. Liu, and Y. Wang*. “A Novel Framework for City-scale Road Network Congestion Prediction and Cascading Analysis based on Multi-Target Multi-Camera Tracking (MTMCT).” Proceedings of the 2020 ASCE International Conference on Transportation and Development (ICTD), Seattle, WA, USA, May 2020.
  29. H. Yang, C. Liu, M. Zhu, W. Sun, and Y. Wang*. “Hybrid Data-fusion Model for Short-term Road Hazardous Segments Identification based on the Acceleration and Deceleration Information.” Proceedings of the 2020 ASCE International Conference on Transportation and Development (ICTD), Seattle, WA, USA, May 2020.
  30. H. Yang, C. Liu, X. Ban, C. Zhang, and Y. Wang*. “Cell-speed Prediction Neural Network (CPNN): A Deep Learning Approach for Trip-based Speed Prediction (TRBAM-19-02492).” Proceedings of the 98th Annual Meeting of Transportation Research Board, Washington D.C. USA, Jan. 2019.

Patents Submitted & Awarded

  1. C. Liu, R. Ke, and Y. Wang. “Dark Channel Prior Real-time Visibility Detection Using Monocular Surveillance Cameras”. Patent application filed Apr. 15, 2022.
  2. Z. Pu, R. Ke, C. Liu, H. Yang, Y. Wang. “Traffic Sensor and System”, Provisional Patent Application, Filed Oct. 28, 2021, 48858.01US1.
  3. C. Liu, Z. Pu, and C. Shi. “Sensor Platform Design”, Design Patent, Filed Jul. 14, 2021, Patent No.: ZL 2021 3 0445061. X, CN 306978071 S.