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Publications

Journal Papers

1.

Addressing the online incremental transport mode choice prediction problem with an LLM-augmented class-incremental learning approach.

Chen, T., Shen, Z., Zhou, B., Liu, Y., Wang, S., and Ke, J.

Transportation Research Part C: Emerging Technologies, 188, 105709, 2026.

2.

Dynamic adjustment of matching radii under the broadcasting mode: a novel multi-task learning strategy and temporal modeling approach.

Chen, T., Shen, Z., Feng, S., Yang, L., and Ke, J.

Transportation Research Part E: Logistics and Transportation Review, 193, 103822, 2025.

Conference Papers

1.

A temporally aware deep reinforcement learning framework for centralized multi-path recommendation in large-scale multimodal transit networks.

Shen, Z., Chen, T., Zhou, B., Wang, J., and Ke, J.

105th Transportation Research Board Annual Meeting, 2026. Conference presentation

Washington, DC · January 11-15, 2026

2.

Multipath: Deep learning based multimodal route guidance with user preference integration.

Shen, Z., Chen, T., Zhou, B., Wang, J., and Ke, J.

29th HKSTS International Conference, 2025. Conference presentation

Hong Kong · December 8-9, 2025

3.

Personalized fair matching in peer-to-peer ridesharing platforms under broadcasting mode: a LLM-driven driver approach.

Shen, Z., Chen, T., Wang, J., and Ke, J.

28th HKSTS International Conference, 2024. Conference presentation

Hong Kong · December 9-10, 2024

4.

Multi-strategy collaborative optimized YOLOv5s and its application in distance estimation.

Shen, Z., Mu, Z., and Li, X.

AEECA 2023.

Working Papers

1.

LAB-Tab: LLM-Augmented Bayesian Network Adaptation for Few-Shot Tabular Generation.

Shen, Z., Chen, T., Zhou, B., Jiang, Z., and Ke, J.

AAAI 2027, 2026. Under review

2.

LEBGen: An LLM-Enhanced Bayesian Network Framework for Few-Shot Travel Survey Data Generation.

Shen, Z., Zhou, B., Wang, J., Zhao, Y., and Ke, J.

Artificial Intelligence for Transportation, 2026. Under review

3.

A Deep Reinforcement Learning Model for Centralized Route Recommendation in Multi-modal Transit Networks.

Shen, Z., Chen, T., Zhou, B., Wang, J., and Ke, J.

Transportation Research Part E: Logistics and Transportation Review, 2026. Major revision

4.

SmartSim: A Scalable and Multimodal Open-Source Mesoscopic Urban Traffic Simulator.

Wang, J., Chen, T., Shen, Z., Liang, J., Zhou, B., and Ke, J.

Frontiers of Engineering Management. Minor revision

Projects

1.

SmartSim: AI-assisted Simulation Software for Multimodal Transportation Operations

Smart Traffic Fund, Hong Kong SAR Government · 2024 - 2026 · STF / PSRI/78/2311/RA

Core Member

2.

Development of a Simulation Platform and Artificial Intelligent Algorithms for Optimising Operation and Management of Taxi E-hailing Services

Smart Traffic Fund, Hong Kong SAR Government · 2023 - 2024 · STF / PSRI/29/2201/PR

Core Member

3.

Estimating carbon emissions, assessing decarbonization strategies and managing green transportation in Hong Kong with a multifunctional simulation platform

Environment Conservation Fund (ECF) Environmental Research, Technology Demonstration and Conference Projects · 2024 - 2026 · ECF / 102/2022

Core Member

4.

Multimodal traffic simulation, route recommendation and subsidy: Enhancing first and last mile connectivity for MTR

MTR Research Funding · 2026 - 2028 · MRF 2025 / HKU-25003

Core Member