Chenxi (Dylan) Liu

Chenxi (Dylan) Liu

Assistant Professor
Civil & Environmental Engineering
University of Utah

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

Refereed Journal Publications

  1. A. Malekloo, X.C. Liu*, N. Markovic, C. Liu, and J. Phillips. “Enhancing Urban Paratransit Reliability: Spatial–Temporal and Causal Analysis of Service Inefficiencies” Journal of Urban Planning and Development, Jan. 2026. DOI
  2. T. Azfar, K. Huang, A. T, S. Misiewicz, C. Liu, and R. Ke*. “Traffic co-simulation framework empowered by infrastructure camera sensing and reinforcement learning” Journal of Intelligent Transportation Systems, Sep. 2025. DOI
  3. F. Yang, XC. Liu, L. Lu, B. Wang, and C. Liu*. “A Self-Supervised Multi-Agent Large Language Model Framework for Customized Traffic Mobility Analysis Using Machine Learning Models” IEEE Transactions on Intelligent Transportation Systems., May. 2025. DOI
  4. Q. Cao, Z.,Shan, C. Liu*, and M. Yan. “Attention-Based Feature Fusion Empowered Encoder-Decoder Framework for Nighttime Traffic Perception From High-Altitude Surveillance System.” IEEE Transactions on Intelligent Transportation Systems., Apr. 2025. DOI
  5. C. Liu, N., Jantarathaneewat, S. Zhang, H. Yang, X. Fu, and Y. Wang*. “Advancing Automatic Asset Management: An edge-based US-specific Traffic Sign Detection and Recognition (TSDR) System based on Image Processing,” Journal of Transportation Engineering, Part A: Systems, Jan. 2025. DOI
  6. H. Zhong, K. Chen, C. Liu, M. Zhu*, R, Ke. “Models for predicting vehicle emissions: A comprehensive review,” Science of The Total Environment, 2024. DOI
  7. F. Wang, X. Ban, P. Chen, C. Liu, Fand R. Zhao*. “Mitigating biases in big mobility data: a case study of monitoring large-scale transit systems.” Transportation Letters: the International Journal of Transportation Research, 2024. DOI
  8. 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. DOI
  9. 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. DOI
  10. 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
  11. 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
  12. 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
  13. 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
  14. 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
  15. 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
  16. 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
  17. 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
  18. 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
  19. 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
  20. 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.
  21. 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.
  22. 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. X. Gao, Y. Wu, R. Wang, C. Liu, Y. Zhou, and Z. Tu*. “Langcoop: Collaborative driving with language”, Proceedings of IEEE the Computer Vision and Pattern Recognition (IEEE-CVPR) Conference, June. 2025. Best Paper Award DOI
  2. X. Luo, C. Liu*, F. Ding, F. Yang, Y. Zhou, J. Loo, HH. Tew. “Senserag: Constructing environmental knowledge bases with proactive querying for llm-based autonomous driving”, Proceedings of IEEE the Winter Conference on Applications of Computer Vision (IEEE-WACV), Mar. 2025. DOI
  3. B. Wang, Z. Cai, M. Karim, C. Liu, Y. Wang*. “Traffic performance gpt (tp-gpt): Real-time data informed intelligent chatbot for transportation surveillance and management”, Proceedings of IEEE 27th International Conference on Intelligent Transportation Systems (IEEE-ITSC), Sep. 2024. DOI
  4. M. Zhu, D. Chen, X. Yuan, Z. Shang, and C. Liu. “Learning Realistic and Reactive Traffic Agents”. Proceedings of IEEE Intelligent Vehicles Symposium (IEEE-IV), Jun. 2024. DOI
  5. J. Jiang, H. Lu, C. Liu, M. Zhu, Y. Chen, H. Yang*. “Cost-effective Vehicle Recognition System in Challenging Environment Empowered by Micro-Pulse LiDAR and Edge AI”. Proceedings of IEEE Intelligent Vehicles Symposium (IEEE-IV), Jun. 2024. DOI
  6. M. Tsai, Z. Cui, C. Liu, H. Yang, Y. Wang*. “An incremental learning-based framework for non-stationary traffic representations clustering and forecasting”. Proceedings of IEEE 25th International Conference on Intelligent Transportation Systems (IEEE-ITSC), Oct. 2022. DOI
  7. 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 ASCE International Conference on Transportation and Development (ASCE-ICTD), May. 2020. DOI

Refereed Conference Presentations

  1. F. Yang, B. Yu, X. Luo, Y. Zhou, Z. Tu, and C. Liu*. “REACT: A Real-Time Edge-AI Based V2X Framework for Accident Avoidance in Autonomous Driving System”, Proceedings of the 105th Annual Meeting of Transportation Research Board, Washington D.C. USA, Jan. 2026.
  2. B. Yu, S. Pan, L. Shen, CX. Liu, and C. Liu*. “Beyond Daily Averages: How Hourly Weather Patterns Impact Vulnerable Road Users Safety”, Proceedings of the 105th Annual Meeting of Transportation Research Board, Washington D.C. USA, Jan. 2026.
  3. B. Yu, R. Tang, F. Yang, X. Luo, CX. Liu, and C. Liu*. “VisionCrash: A Customized Vision-Language Foundation Model for Reliable Traffic Crash Detection and Analysis on Social Media”, Proceedings of the 105th Annual Meeting of Transportation Research Board, Washington D.C. USA, Jan. 2026.
  4. A. Malekloo, CX. Liu*, N. Markovic, C. Liu, and J. Phillips. “A Multi-Tier Framework for Evaluating and Optimizing Urban Paratransit Performance”, Proceedings of the 105th Annual Meeting of Transportation Research Board, Lectern Session, Washington D.C. USA, Jan. 2026.
  5. Z. Wang, C. Liu, M. Karim, and Y. Wang*. “Edge-Based Multi-Camera Vehicle Re-Identification: A Privacy-Preserving Approach to Urban Traffic Monitoring”, Proceedings of the 105th Annual Meeting of Transportation Research Board, Washington D.C. USA, Jan. 2026.
  6. X. Gao, Y. Wu, F. Yang, X. Luo, K. Wu, X. Chen, C. Liu, Y. Zhou, and Z. Tu*. “AIRV2X: Unified Air-Ground Vehicle-to-Everything Collaboration”, Proceedings of the 105th Annual Meeting of Transportation Research Board, Washington D.C. USA, Jan. 2026.
  7. HP. Cheng, C. Liu, M. Abdel-Aty, CX. Liu*. “A Hybrid Knowledge Graph and Language Model Approach for Accident Hotspot Prediction”, Proceedings of the 105th Annual Meeting of Transportation Research Board, Washington D.C. USA, Jan. 2026.
  8. F. Yang, B. Yu, X. Luo, CX. Liu, and C. Liu*. “Independent Mobility GPT: A Self-Supervised AI Agent for Traffic Mobility Analysis Using ML Models”, Lectern Session, Proceedings of 2025 ASCE International Conference on Transportation and Development (ICTD), Glendale, Arizona, USA, Jun. 2025.
  9. S. Chaikasetsin, M. Nasri, H. Yang, C. Liu, and Y. Wang*. “Zero-shot Learning based Cyclists Detection through Surveillance Systems”, Proceedings of the 104th Annual Meeting of Transportation Research Board, Washington D.C. USA, Jan. 2025.
  10. B. Wang, M. Karim, C. Liu, and Y. Wang*. “LLM-Enhanced Traffic Performance Analytics: A Real-Time Data Informed Intelligent ChatBot”, Proceedings of the 104th Annual Meeting of Transportation Research Board, Washington D.C. USA, Jan. 2025.
  11. N, Jantarathaneewat, C. Liu, S. Zhang, and Y. Wang*. “Detecting Lateral Offset Distance on Rural Road in Thailand by Using Point Cloud Data : A Case Study”, \textbf{Lectern Session}, Proceedings of the 104th Annual Meeting of Transportation Research Board, Washington D.C. USA, Jan. 2025.
  12. Y. Shi, C. Liu, and Y. Wang*. “Attention Empowered GAN for Lens Satin Removal and Image”, Proceedings of the 104th Annual Meeting of Transportation Research Board, Washington D.C. USA, Jan. 2025.
  13. B. Yu and C. Liu*. “Harnessing Generative Models for Equity in Transportation: A Survey”, Proceedings of the 104th Annual Meeting of Transportation Research Board, Washington D.C. USA, Jan. 2025.
  14. S. Zhang, C. Liu, N, Jantarathaneewat, and Y. Wang*. “An Automatic Traffic Sign Assessment System Using Deep Learning on Road Log Videos”, \textbf{Lectern Session}, Proceedings of the 104th Annual Meeting of Transportation Research Board, Washington D.C. USA, Jan. 2025.
  15. F. Yang, X. Liu, L. Lu, B. Wang, and C. Liu*. “Independent Mobility GPT (IDM-GPT): A Self-Supervised LLM Framework for Customized Traffic Mobility Analysis Using Machine Learning Models.”, Lectern Session, Proceedings of the 104th Annual Meeting of Transportation Research Board, Washington D.C. USA, Jan. 2025.
  16. 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.
  17. 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.
  18. 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.
  19. 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.
  20. 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.
  21. 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.
  22. 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.
  23. 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.
  24. 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.
  25. 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.
  26. 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.
  27. 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.
  28. 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.
  29. 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.
  30. 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.
  31. 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.
  32. 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.
  33. 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.
  34. 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.
  35. 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.
  36. 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.
  37. 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.
  38. 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.
  39. 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.
  40. 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.
  41. 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.
  42. 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.
  43. 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.
  44. 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.
  45. 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.