Publications

Selected work from MoS Lab and collaborators.

Research spanning public transit resilience, travel behavior, mobility AI, and sustainable urban systems.

* Corresponding author Equal contribution

For the most recent publication list, please visit Google Scholar.

Journal Articles

Conference Papers

2025

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]

2023

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]

2022

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]

2021

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]

2020

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]

2019

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]

2018

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]

Preprints and Working Papers

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