Baichuan Mo

22 papers A* 1Journal 20Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Online Linear Programming with Replenishment.
CoRR
Yuze Chen, Yuan Zhou, Baichuan Mo, Jie Ying, Yufei Ruan, Zhou Ye
2025 J jnl
Individual Path Recommendation Under Public Transit Service Disruptions Considering Behavior Uncertainty.
Transp. Sci.
Baichuan Mo, Haris N. Koutsopoulos, Zuo-Jun Max Shen, Jinhua Zhao
2025 J jnl
Robust binary and multinomial logit models for classification with data uncertainties.
Eur. J. Oper. Res.
Baichuan Mo, Yunhan Zheng, Xiaotong Guo, Ruoyun Ma, Jinhua Zhao
2025 — conf
SCOPE-MoE: Supply Chain Forecasting with a Pretrained MoE-Based Large Time Series Model in E-Commerce.
ITSC
Shiyu Wang, Xinyue Zhong, Jiawei Li, Baichuan Mo, Zhou Ye, Ming Jin
2025 A* conf
TimeMixer++: A General Time Series Pattern Machine for Universal Predictive Analysis.
ICLR
Shiyu Wang, Jiawei Li, Xiaoming Shi, Zhou Ye, Baichuan Mo, Wenze Lin, Shengtong Ju, Zhixuan Chu, Ming Jin
2024 J jnl
Robust Transit Frequency Setting Problem With Demand Uncertainty.
IEEE Trans. Intell. Transp. Syst.
Xiaotong Guo, Baichuan Mo, Haris N. Koutsopoulos, Shenhao Wang, Jinhua Zhao
2024 J jnl
TimeMixer++: A General Time Series Pattern Machine for Universal Predictive Analysis.
CoRR
Shiyu Wang, Jiawei Li, Xiaoming Shi, Zhou Ye, Baichuan Mo, Wenze Lin, Shengtong Ju, Zhixuan Chu, Ming Jin
2023 J jnl
Evaluation of Public Transit Systems under Short Random Service Suspensions: A Bulk-Service Queuing Approach.
CoRR
Baichuan Mo, Li Jin, Haris N. Koutsopoulos, Zuo-Jun Max Shen, Jinhua Zhao
2023 J jnl
Ex Post Path Choice Estimation for Urban Rail Systems Using Smart Card Data: An Aggregated Time-Space Hypernetwork Approach.
Transp. Sci.
Baichuan Mo, Zhenliang Ma, Haris N. Koutsopoulos, Jinhua Zhao
2023 J jnl
Large Language Models for Travel Behavior Prediction.
CoRR
Baichuan Mo, Hanyong Xu, Dingyi Zhuang, Ruoyun Ma, Xiaotong Guo, Jinhua Zhao
2023 J jnl
Predicting Drivers' Route Trajectories in Last-Mile Delivery Using A Pair-wise Attention-based Pointer Neural Network.
CoRR
Baichuan Mo, Qing Yi Wang, Xiaotong Guo, Matthias Winkenbach, Jinhua Zhao
2023 J jnl
Proof of Travel for Trust-Based Data Validation in V2I Communication.
IEEE Internet Things J.
Dajiang Suo, Baichuan Mo, Jinhua Zhao, Sanjay E. Sarma
2022 J jnl
Alleviating Data Sparsity Problems in Estimated Time of Arrival via Auxiliary Metric Learning.
IEEE Trans. Intell. Transp. Syst.
Yiwen Sun, Wenzheng Hu, Donghua Zhou, Baichuan Mo, Kun Fu, Zhengping Che, Zheng Wang, Shenhao Wang, Jinhua Zhao, Jieping Ye, Jian Tang, Changshui Zhang
2022 J jnl
Individual Mobility Prediction in Mass Transit Systems Using Smart Card Data: An Interpretable Activity-Based Hidden Markov Approach.
IEEE Trans. Intell. Transp. Syst.
Baichuan Mo, Zhan Zhao, Haris N. Koutsopoulos, Jinhua Zhao
2022 J jnl
Robust Path Recommendations During Public Transit Disruptions Under Demand Uncertainty.
CoRR
Baichuan Mo, Haris N. Koutsopoulos, Zuo-Jun Max Shen, Jinhua Zhao
2021 J jnl
Comparing hundreds of machine learning classifiers and discrete choice models in predicting travel behavior: an empirical benchmark.
CoRR
Shenhao Wang, Baichuan Mo, Stephane Hess, Jinhua Zhao
2021 J jnl
Individual Mobility Prediction: An Interpretable Activity-based Hidden Markov Approach.
CoRR
Baichuan Mo, Zhan Zhao, Haris N. Koutsopoulos, Jinhua Zhao
2020 J jnl
Assignment-based Path Choice Estimation for Metro Systems Using Smart Card Data.
CoRR
Baichuan Mo, Zhenliang Ma, Haris N. Koutsopoulos, Jinhua Zhao
2020 J jnl
Dynamic Interaction between Shared Autonomous Vehicles and Public Transit: A Competitive Perspective.
CoRR
Baichuan Mo, Zhejing Cao, Hongmou Zhang, Yu Shen, Jinhua Zhao
2020 J jnl
Estimating dynamic origin-destination demand: A hybrid framework using license plate recognition data.
Comput. Aided Civ. Infrastructure Eng.
Baichuan Mo, Ruimin Li, Jingchen Dai
2020 J jnl
Modeling Epidemic Spreading through Public Transit using Time-Varying Encounter Network.
CoRR
Baichuan Mo, Kairui Feng, Yu Shen, Clarence Tam, Daqing Li, Yafeng Yin, Jinhua Zhao
2020 J jnl
Theory-based residual neural networks: A synergy of discrete choice models and deep neural networks.
CoRR
Shenhao Wang, Baichuan Mo, Jinhua Zhao