Lyu, C., Wu, H., Li, D., Pereira, F. C., Azevedo, C. M. A., & Antoniou, C. (2025). Improving Fidelity and Diversity of Population Synthesis via Latent Generative Flow. Under Review.

Lyu, C., & Antoniou, C. (2025). A Diffusion-Based Expectation-Maximization Framework for Probabilistic Traffic Data Imputation. IEEE Internet of Things Journal, 12(20), 43227–43240.

Lu, Q. L., Sun, W., Lyu, C., Schmöcker, J. D., & Antoniou, C. (2025). Post-Disruption Lane Reversal Optimization with Surrogate Modeling to Improve Urban Traffic Resilience. Transportation Research Part B: Methodological, 197, 103237.

Wang, L., Duan, P., He, Z., Lyu, C., Chen, X., Zheng, N., Yao, L., & Ma, Z. (2025). Agentic Large Language Models for Day-to-Day Route Choices. Transportation Research Part C: Emerging Technologies, 180, 105307.

Wang, L., Duan, P., Lyu, C., & Ma, Z. (2025). Reinforcement Learning-based Sequential Route Recommendation for System-Optimal Traffic Assignment. arXiv preprint arXiv:2505.20889.

Wang, L., Duan, P., Lyu, C., Wang, Z., He, Z., Zheng, N., & Ma, Z. (2025). Scalable and Reliable Multi-agent Reinforcement Learning for Traffic Assignment. arXiv preprint arXiv:2506.17029.

Lyu, C., Lu, Q. L., Wu, X., & Antoniou, C. (2024). Robust Low-Rank Tensor Decomposition Framework for Transport Data Imputation. In TRB 2024. Transportation Research Board, Washington DC, USA.

Li, Y., Bai, F., Lyu, C., Qu, X., & Liu, Y. (2024). A Systematic Review of Generative Adversarial Networks for Traffic State Prediction: Overview, Taxonomy, and Future Prospects. Information Fusion, 117, 102915.

Lyu, C., Lu, Q. L., Wu, X., & Antoniou, C. (2024). Tucker Factorization-Based Tensor Completion for Robust Traffic Data Imputation. Transportation Research Part C: Emerging Technologies, 160, 104502.

Lu, Q. L., Mahajan, V., Lyu, C., & Antoniou, C. (2024). Analyzing the Impact of Fare-Free Public Transport Policies on Crowding Patterns at Stations Using Crowdsensing Data. Transportation Research Part A: Policy and Practice, 179, 103944.

Yang, N., Lu, Q. L., Lyu, C., & Antoniou, C. (2024). Transfer Learning for Transportation Demand Resilience Patterns Prediction Using Floating Car Data. Transportation Research Record: Journal of the Transportation Research Board, 2678(11), 1622–1638.

Liu, Y., Lyu, C., Bai, F., Parishwad, O., & Li, Y. (2024). The role of Intelligent Technology in the Development of Urban Air Mobility Systems: A Technical Perspective. Fundamental Research, 4(5), 1017–1024.

Lyu, C., Lu, Q. L., Wu, X., & Antoniou, C. (2023). Robust Two-Stage Transport Data Imputation with Changepoint Detection and Tucker Decomposition. In IEEE 26th International Conference on Intelligent Transportation Systems (ITSC) (pp. 494–499). IEEE, Bilbao, Spain.

Liu, Z., Lyu, C., Wang, Z., Wang, S., Liu, P., & Meng, Q. (2023). A Gaussian-Process-Based Data-Driven Traffic Flow Model and Its Application in Road Capacity Analysis. IEEE Transactions on Intelligent Transportation Systems, 24(2), 1544–1563.

Abouelela, M., Lyu, C., & Antoniou, C. (2023). Exploring the Potentials of Open-Source Big Data and Machine Learning in Shared Mobility Fleet Utilization Prediction. Data Science for Transportation, 5(5), 1–26.

Chen, S., Liu, X., Lyu, C., Tang, T., & Liu, Z. (2023). A Holistic Data-driven Framework for Developing a Complete Profile of Bus Passengers. Transportation Research Part A: Policy and Practice, 173, 103692.

Lyu, C., Liu, Y., Wang, L., & Qu, X. (2022). Personalized Modeling of Travel Behaviors and Traffic Dynamics. Journal of Transportation Engineering, Part A: Systems, 148, 04022081.

Liu, Y., Wu, F., Lyu, C., Liu, X., & Liu, Z. (2022). Behavior2vector: Embedding Users' Personalized Travel Behavior to Vector. IEEE Transactions on Intelligent Transportation Systems, 23(7), 8346–8355.

Liu, Y., Wu, F., Lyu, C., Li, S., Ye, J., & Liu, Z. (2022). Deep Dispatching: A Deep Reinforcement Learning Approach for Vehicle Dispatching on Online Ride-Hailing Platform. Transportation Research Part E: Logistics and Transportation Review, 161, 102694.

Liu, Z., Lyu, C., Huo, J., Wang, S., & Chen, J. (2022). Gaussian Process Regression for Transportation System Estimation and Prediction Problems: The Deformation and a Hat Kernel. IEEE Transactions on Intelligent Transportation Systems, 23(11), 22331–22342.

Lyu, C., Wu, X., Liu, Y., & Liu, Z. (2021). A Partial-Fréchet-distance-based Framework for Bus Route Identification. IEEE Transactions on Intelligent Transportation Systems, 23(7), 9275–9280.

Liu, Y., Lyu, C., Zhang, Y., Liu, Z., Yu, W., & Qu, X. (2021). DeepTSP: Deep Traffic State Prediction Model Based on Large-Scale Empirical Data. Communications in Transportation Research, 1, 100012.

Liu, Y., Lyu, C., Liu, Z., & Cao, J. (2021). Exploring a Large-Scale Multi-Modal Transportation Recommendation System. Transportation Research Part C: Emerging Technologies, 126, 103070.

Liu, Y., Zhang, Q., Lyu, C., & Liu, Z. (2021). Modelling the Energy Consumption of Electric Vehicles under Uncertain and Small Data Conditions. Transportation Research Part A: Policy and Practice, 154, 313–328.

Lyu, C., Wu, X., Liu, Y., Liu, Z., & Yang, X. (2020). Exploring Multi-Scale Spatial Relationship between Built Environment and Public Bicycle Ridership: A Case Study in Nanjing. Journal of Transport and Land Use, 13, 447–467.

Huang, D., Chen, X., Liu, Z., Lyu, C., Wang, S., & Chen, X. (2020). A Static Bike Repositioning Model in a Hub-and-Spoke Network Framework. Transportation Research Part E: Logistics and Transportation Review, 141, 102031.

Liu, Y., Liu, X., Lyu, C., & Liu, Z. (2020). Automatic Feature Engineering for Bus Passenger Flow Prediction Based on Modular Convolutional Neural Network. IEEE Transactions on Intelligent Transportation Systems, 22(4), 2349–2358.

Liu, Z., Liu, Y., Lyu, C., & Ye, J. (2020). Building Personalized Transportation Model for Online Taxi-Hailing Demand Prediction. IEEE Transactions on Cybernetics, 51(9), 4602–4610.

Lyu, C., Wang, Y., Xia, Y., Liu, Z., & Wang, W. (2019). Spatial Analysis of the Relationship between Urban Built Environment and Public Bicycle Ridership. In CICTP 2019 (pp. 5948–5960). ASCE, Nanjing, China.

Liu, Y., Lyu, C., Cheng, Q., & Liu, Z. (2019). Exploring Personalization in the Application of Intelligent Transportation Systems. In 1st ACM SIGSPATIAL International Workshop on Ride-hailing Algorithms, Applications, and Systems (RAAS'19). ACM, Chicago, IL, USA.

Liu, Y., Lyu, C., Liu, Z., & Tao, D. (2019). Building Effective Short Video Recommendation. In IEEE International Conference on Multimedia & Expo Workshops (pp. 651–656). IEEE, Shanghai, China.

Liu, Y., Liu, Z., Lyu, C., & Ye, J. (2019). Attention-Based Deep Ensemble Net for Large-Scale Online Taxi-Hailing Demand Prediction. IEEE Transactions on Intelligent Transportation Systems, 21(11), 4798–4807.

Liu, Y., Lyu, C., Khadka, A., Zhang, W., & Liu, Z. (2019). Spatio-Temporal Ensemble Method for Car-Hailing Demand Prediction. IEEE Transactions on Intelligent Transportation Systems, 21(12), 5328–5333.

Liu, Y., Liu, Z., Vu, H. L., & Lyu, C. (2019). A Spatio-Temporal Ensemble Method for Large-Scale Traffic State Prediction. Computer-Aided Civil and Infrastructure Engineering, 35(1), 26–44.