Selected work from MoS Lab and collaborators.

SCOPE-MoE: Supply Chain Forecasting with a Pretrained MoE-Based Large Time Series Model in E-Commerce

Shiyu Wang^*, Xinyue Zhong, Jiawei Li, Baichuan Mo, Zhou Ye, Ming Jin^*

IEEE 28th International Conference on Intelligent Transportation Systems (ITSC 2025), 2025, Accepted

TimeMixer++: A General Time Series Pattern Machine for Universal Predictive Analysis

Shiyu Wang^†, Jiawei Li^†, Xiaoming Shi, Zhou Ye, Baichuan Mo, Wenze Lin, Shengtong Ju, Zhixuan Chu^*, Ming Jin^*

The 13th International Conference on Learning Representations (ICLR 2025), 2025, Oral Presentation (0.6%) [OpenReview]

Individual Longitudinal Adoption Pattern Analysis under Fare Incentives Using Smart Card Data

Leizhen Wang, Zhenliang Ma^*, Pengfei Zhang, Xin Chen, Baichuan Mo, Peibo Duan

Transportation Research Board 102th Annual Meeting (TRB 2023), 2023, Oral Presentation [PDF]

Robust Path Recommendations During Public Transit Disruptions Under Demand Uncertainty

Baichuan Mo^*, Haris N. Koutsopoulos, Jinhua Zhao

Transportation Research Board 101th Annual Meeting (TRB 2022), 2022, Poster Presentation [PDF]

Impact of Unplanned Rail Disruption on Urban Transit Systems

Baichuan Mo^*, Max Y von Franque, Haris N. Koutsopoulos, John Attanucci, Jinhua Zhao

Transportation Research Board 100th Annual Meeting (TRB 2021), 2021, Poster Presentation [PDF]

Calibrating Route Choice for Urban Rail System: A Comparative Analysis Using Simulation-based Optimization Methods

Baichuan Mo, Zhenliang Ma^*, Haris N. Koutsopoulos, Jinhua Zhao

Transportation Research Board 99th Annual Meeting (TRB 2020), 2020, Poster Presentation [PDF]

Latent Attitudes of Existing Travel Modes on Autonomous Vehicle Adoption

Baichuan Mo, Qing Yi Wang, Yu Shen^*, Jinhua Zhao

Transportation Research Board 99th Annual Meeting (TRB 2020), 2020, Poster Presentation [PDF]

Network Performance Model for Urban Rail Systems

Baichuan Mo, Zhenliang Ma^*, Haris N. Koutsopoulos, Jinhua Zhao

Transportation Research Board 99th Annual Meeting (TRB 2020), 2020, Oral Presentation [PDF]

Predicting Travel Mode Choice with 86 Machine Learning Classifiers: An Empirical Benchmark Study

Shenhao Wang^*, Baichuan Mo, Jinhua Zhao

Transportation Research Board 99th Annual Meeting (TRB 2020), 2020, Poster Presentation [PDF]

Built Environment and Autonomous Vehicle Mode Choice: A First-Mile Scenario in Singapore

Yu Shen, Baichuan Mo, Xiaohu Zhang^*, Jinhua Zhao

Transportation Research Board 98th Annual Meeting (TRB 2019), 2019, Poster Presentation [PDF]

Impact of Built Environment on First- and Last-mile Travel Mode Choice

Baichuan Mo, Yu Shen^*, Jinhua Zhao

Transportation Research Board 97th Annual Meeting (TRB 2018), 2018, Oral Presentation [PDF]

Large language models for travel behavior prediction

Baichuan Mo, Hanyong Xu^*, Dingyi Zhuang, Ruoyun Ma, Xiaotong Guo, Jinhua Zhao

arXiv preprint, 2024, 2312.00819 [arXiv]

Evaluation of Public Transit Systems under Short Random Service Suspensions: A Bulk-Service Queuing Approach

Baichuan Mo^*, Li Jin, Haris N Koutsopoulos, Zuo-Jun Max Shen, Jinhua Zhao

To be submitted to Informs Journal on Computing [PDF]

Passenger Path Choice Estimation Using Smart Card Data: A Latent Class Approach with Panel Effects Across Days

Baichuan Mo, Zhenliang Ma^*, Haris N Koutsopoulos, Jinhua Zhao

To be submitted to Transportation Research Part E