Scholar
Baichuan Mo
Google Scholar ID: ORhrfXoAAAAJ
PhD @ MIT, Research Scientist @ TikTok, Lyft
Transportation
Optimization
Machine Learning
Demand Modeling
Follow
Homepage
↗
Google Scholar
↗
Citations & Impact
All-time
Citations
1,231
H-index
20
i10-index
21
Publications
20
Co-authors
50
list available
Publications
9 items
Evolving in Thought Space: Training a Small Model at Test Time Unlocks Better Discoveries
2026
Cited
0
Retrieval-Augmented Large Language Model Decision-Making for Autonomous Driving Guided by Chinese Philosophical Wisdom
2026
Cited
0
PrecPack: An Efficient Open-Source Exact Solver for Bin Packing with Generalized Precedence Constraints
2026
Cited
0
When Do Corrective Features Help? An Agent for Corrective Feature Discovery on Black-Box Forecasters
2026
Cited
0
Learned Pairwise Deep Dual-Optimal Inequalities for Stabilizing Column Generation
2026
Cited
0
Online Linear Programming with Replenishment
2026
Cited
0
TimeMixer++: A General Time Series Pattern Machine for Universal Predictive Analysis
arXiv.org · 2024
Cited
5
Predicting Drivers' Route Trajectories in Last-Mile Delivery Using A Pair-wise Attention-based Pointer Neural Network
arXiv.org · 2023
Cited
15
Load more
Co-authors
11 total
Jinhua Zhao
Professor of Cities and Transportation, Massachusetts Institute of Technology
Haris N Koutsopoulos
Northeastern University
Shenhao Wang
University of Florida; Massachusetts Institute of Technology
Yu Shen
Associate Professor, Tongji University, Shanghai China
Zhenliang Ma
Associate Professor @ KTH Royal Institute of Technology
Xiaotong Guo
Ph.D. in Transportation, MIT
Yunhan Zheng
MIT
Qingyi Wang
MIT
