Estimating a Rail Passenger Trip Origin-Destination Matrix Using Automatic Data Collection Systems. - Jinhua Zhao 001; Adam Rahbee; Nigel H. M. Wilson (Comput. Aided Civ. Infrastructure Eng., 2007)

Analysis of the Maximum Straight Line Length for Prairie Highway using Driver's Heart Rate Variability. - Yueying Huo; Wenquan Li; Jinhua Zhao 001; Shoulin Zhu (Int. J. Comput. Intell. Syst., 2011)

Managing travel demand: Location recommendation for system efficiency based on mobile phone data. - Yan Leng; Larry Rudolph; Alex Pentland; Jinhua Zhao 001; Haris N. Koutsopoulos (CoRR, 2016)

Uncertainty in Bus Arrival Time Predictions: Treating Heteroscedasticity With a Metamodel Approach. - Aidan O'Sullivan; Francisco C. Pereira; Jinhua Zhao 001; Harilaos N. Koutsopoulos (IEEE Trans. Intell. Transp. Syst., 2016)

Rebalancing shared mobility-on-demand systems: A reinforcement learning approach. - Jian Wen; Jinhua Zhao 001; Patrick Jaillet (ITSC, 2017)

Profiling presence patterns and segmenting user locations from cell phone data. - Yan Leng; Haris N. Koutsopoulos; Jinhua Zhao 001 (CoRR, 2018)

Using Deep Neural Network to Analyze Travel Mode Choice With Interpretable Economic Information: An Empirical Example. - Shenhao Wang; Jinhua Zhao 001 (CoRR, 2018)

Measuring Regularity of Individual Travel Patterns. - Gabriel Goulet-Langlois; Haris N. Koutsopoulos; Zhan Zhao; Jinhua Zhao 001 (IEEE Trans. Intell. Transp. Syst., 2018)

Mesoscopic Modeling of Train Operations: Application to the MBTA Red Line. - Saeid Saidi; Nigel H. M. Wilson; Haris N. Koutsopoulos; Jinhua Zhao 001 (ITSC, 2019)

Multitask Learning Deep Neural Network to Combine Revealed and Stated Preference Data. - Shenhao Wang; Jinhua Zhao 001 (CoRR, 2019)

Deep Neural Networks for Choice Analysis: Architectural Design with Alternative-Specific Utility Functions. - Shenhao Wang; Jinhua Zhao 001 (CoRR, 2019)

Mobility Sharing as a Preference Matching Problem. - Hongmou Zhang; Jinhua Zhao 001 (IEEE Trans. Intell. Transp. Syst., 2019)

Assignment-based Path Choice Estimation for Metro Systems Using Smart Card Data. - Baichuan Mo; Zhenliang Ma; Haris N. Koutsopoulos; Jinhua Zhao 001 (CoRR, 2020)

Dynamic Interaction between Shared Autonomous Vehicles and Public Transit: A Competitive Perspective. - Baichuan Mo; Zhejing Cao; Hongmou Zhang; Yu Shen; Jinhua Zhao 001 (CoRR, 2020)

Modeling Epidemic Spreading through Public Transit using Time-Varying Encounter Network. - Baichuan Mo; Kairui Feng; Yu Shen; Clarence Tam; Daqing Li; Yafeng Yin; Jinhua Zhao 001 (CoRR, 2020)

Theory-based residual neural networks: A synergy of discrete choice models and deep neural networks. - Shenhao Wang; Baichuan Mo; Jinhua Zhao 001 (CoRR, 2020)

Individual Mobility Prediction: An Interpretable Activity-based Hidden Markov Approach. - Baichuan Mo; Zhan Zhao; Haris N. Koutsopoulos; Jinhua Zhao 001 (CoRR, 2021)

Comparing hundreds of machine learning classifiers and discrete choice models in predicting travel behavior: an empirical benchmark. - Shenhao Wang; Baichuan Mo; Stephane Hess; Jinhua Zhao 001 (CoRR, 2021)

Identifying Hidden Visits from Sparse Call Detail Record Data. - Zhan Zhao; Haris N. Koutsopoulos; Jinhua Zhao 001 (CoRR, 2021)

Equality of opportunity in travel behavior prediction with deep neural networks and discrete choice models. - Yunhan Zheng; Shenhao Wang; Jinhua Zhao 001 (CoRR, 2021)

Leveraging Individual and Collective Regularity to Profile and Segment User Locations from Mobile Phone Data. - Yan Leng; Jinhua Zhao 001; Haris N. Koutsopoulos (ACM Trans. Manag. Inf. Syst., 2021)

The Braess's Paradox in Dynamic Traffic. - Dingyi Zhuang; Yuzhu Huang; Vindula Jayawardana; Jinhua Zhao 001; Dajiang Suo; Cathy Wu 002 (ITSC, 2022)

Uncertainty Quantification of Sparse Travel Demand Prediction with Spatial-Temporal Graph Neural Networks. - Dingyi Zhuang; Shenhao Wang; Haris N. Koutsopoulos; Jinhua Zhao 001 (KDD, 2022)

Robust Path Recommendations During Public Transit Disruptions Under Demand Uncertainty. - Baichuan Mo; Haris N. Koutsopoulos; Zuo-Jun Max Shen; Jinhua Zhao 001 (CoRR, 2022)

The Braess Paradox in Dynamic Traffic. - Dingyi Zhuang; Yuzhu Huang; Vindula Jayawardana; Jinhua Zhao 001; Dajiang Suo; Cathy Wu 002 (CoRR, 2022)

TranViT: An Integrated Vision Transformer Framework for Discrete Transit Travel Time Range Prediction. - Awad Abdelhalim; Jinhua Zhao 001 (CoRR, 2022)

Estimating the Potential for Shared Autonomous Scooters. - Dániel Kondor; Xiaohu Zhang; Malika Meghjani; Paolo Santi; Jinhua Zhao 001; Carlo Ratti (IEEE Trans. Intell. Transp. Syst., 2022)

Individual Mobility Prediction in Mass Transit Systems Using Smart Card Data: An Interpretable Activity-Based Hidden Markov Approach. - Baichuan Mo; Zhan Zhao; Haris N. Koutsopoulos; Jinhua Zhao 001 (IEEE Trans. Intell. Transp. Syst., 2022)

Dynamic Origin-Destination Prediction in Urban Rail Systems: A Multi-Resolution Spatio-Temporal Deep Learning Approach. - Peyman Noursalehi; Haris N. Koutsopoulos; Jinhua Zhao 001 (IEEE Trans. Intell. Transp. Syst., 2022)

Alleviating Data Sparsity Problems in Estimated Time of Arrival via Auxiliary Metric Learning. - Yiwen Sun; Wenzheng Hu; Donghua Zhou; Baichuan Mo; Kun Fu 002; Zhengping Che; Zheng Wang 010; Shenhao Wang; Jinhua Zhao 001; Jieping Ye; Jian Tang 008; Changshui Zhang (IEEE Trans. Intell. Transp. Syst., 2022)

Reconstructing Transit Vehicle Trajectory Using High-Resolution GPS Data. - Yuzhu Huang; Awad Abdelhalim; Anson F. Stewart; Jinhua Zhao 001; Haris N. Koutsopoulos (ITSC, 2023)

ST-GIN: An Uncertainty Quantification Approach in Traffic Data Imputation with Spatio-Temporal Graph Attention and Bidirectional Recurrent United Neural Networks. - Zepu Wang; Dingyi Zhuang; Yankai Li; Jinhua Zhao 001; Peng Sun 007; Shenhao Wang; Yulin Hu (ITSC, 2023)

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 001 (CoRR, 2023)

Predicting Drivers' Route Trajectories in Last-Mile Delivery Using A Pair-wise Attention-based Pointer Neural Network. - Baichuan Mo; Qing Yi Wang; Xiaotong Guo; Matthias Winkenbach; Jinhua Zhao 001 (CoRR, 2023)

Deep hybrid model with satellite imagery: how to combine demand modeling and computer vision for behavior analysis? - Qingyi Wang; Shenhao Wang; Yunhan Zheng; Hongzhou Lin; Xiaohu Zhang; Jinhua Zhao 001; Joan Walker (CoRR, 2023)

Fairness-enhancing deep learning for ride-hailing demand prediction. - Yunhan Zheng; Qingyi Wang; Dingyi Zhuang; Shenhao Wang; Jinhua Zhao 001 (CoRR, 2023)

ST-GIN: An Uncertainty Quantification Approach in Traffic Data Imputation with Spatio-temporal Graph Attention and Bidirectional Recurrent United Neural Networks. - Zepu Wang; Dingyi Zhuang; Yankai Li; Jinhua Zhao 001; Peng Sun 007 (CoRR, 2023)

MetRoBERTa: Leveraging Traditional Customer Relationship Management Data to Develop a Transit-Topic-Aware Language Model. - Michael Leong; Awad Abdelhalim; Jude Ha; Dianne Patterson; Gabriel L. Pincus; Anthony B. Harris; Michael Eichler; Jinhua Zhao 001 (CoRR, 2023)

Large Language Models for Travel Behavior Prediction. - Baichuan Mo; Hanyong Xu; Dingyi Zhuang; Ruoyun Ma; Xiaotong Guo; Jinhua Zhao 001 (CoRR, 2023)

Ex Post Path Choice Estimation for Urban Rail Systems Using Smart Card Data: An Aggregated Time-Space Hypernetwork Approach. - Baichuan Mo; Zhenliang Ma; Haris N. Koutsopoulos; Jinhua Zhao 001 (Transp. Sci., 2023)

Proof of Travel for Trust-Based Data Validation in V2I Communication. - Dajiang Suo; Baichuan Mo; Jinhua Zhao 001; Sanjay E. Sarma (IEEE Internet Things J., 2023)

ItiNera: Integrating Spatial Optimization with Large Language Models for Open-domain Urban Itinerary Planning. - Yihong Tang; Zhaokai Wang; Ao Qu; Yihao Yan; Zhaofeng Wu; Dingyi Zhuang; Jushi Kai; Kebing Hou; Xiaotong Guo; Jinhua Zhao 001; Zhan Zhao; Wei Ma (EMNLP (Industry Track), 2024)

SAUC: Sparsity-Aware Uncertainty Calibration for Spatiotemporal Prediction with Graph Neural Networks. - Dingyi Zhuang; Yuheng Bu; Guang Wang 001; Shenhao Wang; Jinhua Zhao 001 (SIGSPATIAL/GIS, 2024)

Fairness-Enhancing Vehicle Rebalancing in the Ride-hailing System. - Xiaotong Guo; Hanyong Xu; Dingyi Zhuang; Yunhan Zheng; Jinhua Zhao 001 (CoRR, 2024)

Synergizing Spatial Optimization with Large Language Models for Open-Domain Urban Itinerary Planning. - Yihong Tang; Zhaokai Wang; Ao Qu; Yihao Yan; Kebing Hou; Dingyi Zhuang; Xiaotong Guo; Jinhua Zhao 001; Zhan Zhao; Wei Ma (CoRR, 2024)

Advancing Transportation Mode Share Analysis with Built Environment: Deep Hybrid Models with Urban Road Network. - Dingyi Zhuang; Qingyi Wang; Yunhan Zheng; Xiaotong Guo; Shenhao Wang; Haris N. Koutsopoulos; Jinhua Zhao 001 (CoRR, 2024)

Sparkle: Mastering Basic Spatial Capabilities in Vision Language Models Elicits Generalization to Composite Spatial Reasoning. - Yihong Tang; Ao Qu; Zhaokai Wang; Dingyi Zhuang; Zhaofeng Wu; Wei Ma; Shenhao Wang; Yunhan Zheng; Zhan Zhao; Jinhua Zhao 001 (CoRR, 2024)

Uncertainty Quantification of Spatiotemporal Travel Demand With Probabilistic Graph Neural Networks. - Qingyi Wang; Shenhao Wang; Dingyi Zhuang; Haris N. Koutsopoulos; Jinhua Zhao 001 (IEEE Trans. Intell. Transp. Syst., 2024)

Robust Transit Frequency Setting Problem With Demand Uncertainty. - Xiaotong Guo; Baichuan Mo; Haris N. Koutsopoulos; Shenhao Wang; Jinhua Zhao 001 (IEEE Trans. Intell. Transp. Syst., 2024)

Sparkle: Mastering Basic Spatial Capabilities in Vision Language Models Elicits Generalization to Spatial Reasoning. - Yihong Tang; Ao Qu; Zhaokai Wang; Dingyi Zhuang; Zhaofeng Wu; Wei Ma; Shenhao Wang; Yunhan Zheng; Zhan Zhao; Jinhua Zhao 001 (EMNLP (Findings), 2025)

GETS: Ensemble Temperature Scaling for Calibration in Graph Neural Networks. - Dingyi Zhuang; Chonghe Jiang; Yunhan Zheng; Shenhao Wang; Jinhua Zhao 001 (ICLR, 2025)

Simulating Society Requires Simulating Thought. - Chance Jiajie Li; Jiayi Wu; Zhenze Mo; Ao Qu; Yuhan Tang; Kaiya Ivy Zhao; Yulu Gan; Jie Fan; Jiangbo Yu; Jinhua Zhao 001; Paul Liang; Luis Alonso Pastor; et al. (NeurIPS, 2025)

Mitigating Spatial Disparity in Urban Prediction Using Residual-Aware Spatiotemporal Graph Neural Networks: A Chicago Case Study. - Dingyi Zhuang; Hanyong Xu; Xiaotong Guo; Yunhan Zheng; Shenhao Wang; Jinhua Zhao 001 (WWW (Companion Volume), 2025)

Robust binary and multinomial logit models for classification with data uncertainties. - Baichuan Mo; Yunhan Zheng; Xiaotong Guo; Ruoyun Ma; Jinhua Zhao 001 (Eur. J. Oper. Res., 2025)

Individual Path Recommendation Under Public Transit Service Disruptions Considering Behavior Uncertainty. - Baichuan Mo; Haris N. Koutsopoulos; Zuo-Jun Max Shen; Jinhua Zhao 001 (Transp. Sci., 2025)

Generative AI for urban planning: Synthesizing satellite imagery via diffusion models. - Qingyi Wang; Yuebing Liang; Yunhan Zheng; Kaiyuan Xu; Jinhua Zhao 001; Shenhao Wang (Comput. Environ. Urban Syst., 2025)

Virtual Nodes Improve Long-term Traffic Prediction. - Xiaoyang Cao; Dingyi Zhuang; Jinhua Zhao 001; Shenhao Wang (CoRR, 2025)

Analyzing sequential activity and travel decisions with interpretable deep inverse reinforcement learning. - Yuebing Liang; Shenhao Wang; Jiangbo Yu; Zhan Zhao; Jinhua Zhao 001; Sandy Pentland (CoRR, 2025)

Computer vision for transit travel time prediction: an end-to-end framework using roadside urban imagery. - Awad Abdelhalim; Jinhua Zhao 001 (Public Transp., 2025)

Reimagining Urban Science: Scaling Causal Inference with Large Language Models. - Yutong Xia; Ao Qu; Yunhan Zheng; Yihong Tang; Dingyi Zhuang; Yuxuan Liang 002; Cathy Wu 002; Roger Zimmermann; Jinhua Zhao 001 (CoRR, 2025)

Generative AI for Urban Design: A Stepwise Approach Integrating Human Expertise with Multimodal Diffusion Models. - Mingyi He; Yuebing Liang; Shenhao Wang; Yunhan Zheng; Qingyi Wang; Dingyi Zhuang; Li Tian; Jinhua Zhao 001 (CoRR, 2025)

From Street Views to Urban Science: Discovering Road Safety Factors with Multimodal Large Language Models. - Yihong Tang; Ao Qu; Xujing Yu; Weipeng Deng; Jun Ma; Jinhua Zhao 001; Lijun Sun (CoRR, 2025)

Position: Simulating Society Requires Simulating Thought. - Chance Jiajie Li; Jiayi Wu; Zhenze Mo; Ao Qu; Yuhan Tang; Kaiya Ivy Zhao; Yulu Gan; Jie Fan; Jiangbo Yu; Jinhua Zhao 001; Paul Liang; Luis Alonso; et al. (CoRR, 2025)

MEM1: Learning to Synergize Memory and Reasoning for Efficient Long-Horizon Agents. - Zijian Zhou 006; Ao Qu; Zhaoxuan Wu; Sunghwan Kim; Alok Prakash; Daniela Rus; Jinhua Zhao 001; Bryan Kian Hsiang Low; Paul Pu Liang (CoRR, 2025)

Interpretable Time Series Autoregression for Periodicity Quantification. - Xinyu Chen 002; Vassilis Digalakis Jr; Lijun Ding; Dingyi Zhuang; Jinhua Zhao 001 (CoRR, 2025)

Correlating Time Series With Interpretable Convolutional Kernels. - Xinyu Chen 002; HanQin Cai; Fuqiang Liu; Jinhua Zhao 001 (IEEE Trans. Knowl. Data Eng., 2025)

Data-Driven Discovery of Mobility Periodicity for Understanding Urban Transportation Systems. - Xinyu Chen 002; Qi Wang; Yunhan Zheng; Nina Cao; HanQin Cai; Jinhua Zhao 001 (CoRR, 2025)

Closed-Circuit Television Data as an Emergent Data Source for Urban Rail Platform Crowding Estimation. - Riccardo Fiorista; Awad Abdelhalim; Anson F. Stewart; Gabriel L. Pincus; Ian Thistle; Jinhua Zhao 001 (CoRR, 2025)

Deploying Robust Decision Support Systems for Transit Headway Control: Rider Impacts, Human Factors and Recommendations for Scalability. - Joseph Rodriguez; Haris N. Koutsopoulos; Jinhua Zhao 001 (CoRR, 2025)

ClassMind: Scaling Classroom Observation and Instructional Feedback with Multimodal AI. - Ao Qu; Yuxi Wen; Jiayi Zhang; Yunge Wen; Yibo Zhao; Alok Prakash; Andrés F. Salazar-Gómez; Paul Pu Liang; Jinhua Zhao 001 (CoRR, 2025)

HugAgent: Evaluating LLMs in Simulating Individual-Level Human Reasoning on Open-Ended Tasks. - Chance Jiajie Li; Zhenze Mo; Yuhan Tang; Ao Qu; Jiayi Wu; Kaiya Ivy Zhao; Yulu Gan; Jie Fan; Jiangbo Yu; Hang Jiang; Paul Liang; Jinhua Zhao 001; et al. (CoRR, 2025)

AlphaOPT: Formulating Optimization Programs with Self-Improving LLM Experience Library. - Minwei Kong; Ao Qu; Xiaotong Guo; Wenbin Ouyang; Chonghe Jiang; Han Zheng; Yining Ma 001; Dingyi Zhuang; Yuhan Tang; Junyi Li; Hai Wang; Cathy Wu 002; et al. (CoRR, 2025)

Dynamic Autoregressive Tensor Factorization for Pattern Discovery of Spatiotemporal Systems. - Xinyu Chen 002; Dingyi Zhuang; HanQin Cai; Shenhao Wang; Jinhua Zhao 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

Learning from Risk: LLM-Guided Generation of Safety-Critical Scenarios with Prior Knowledge. - Yuhang Wang; Heye Huang; Zhenhua Xu; Kailai Sun; Baoshen Guo; Jinhua Zhao 001 (CoRR, 2025)

RAST-MoE-RL: A Regime-Aware Spatio-Temporal MoE Framework for Deep Reinforcement Learning in Ride-Hailing. - Yuhan Tang; Kangxin Cui; Jung Ho Park; Yibo Zhao; Xuan Jiang; Haoze He; Dingyi Zhuang; Shenhao Wang; Jiangbo Yu; Harilaos N. Koutsopoulos; Jinhua Zhao 001 (CoRR, 2025)

Leveraging the Spatial Hierarchy: Coarse-to-fine Trajectory Generation via Cascaded Hybrid Diffusion. - Baoshen Guo; Zhiqing Hong; Junyi Li; Shenhao Wang; Jinhua Zhao 001 (KDD (1), 2026)

Reproducibility in the Control of Autonomous Mobility-on-Demand Systems. - Xinling Li 001; Meshal Alharbi; Daniele Gammelli; James Harrison; Filipe Rodrigues 001; Maximilian Schiffer; Marco Pavone 001; Emilio Frazzoli; Jinhua Zhao 001; Gioele Zardini (IEEE Trans. Robotics, 2026)

Risk-Controllable Multi-View Diffusion for Driving Scenario Generation. - Hongyi Lin 001; Wenxiu Shi; Heye Huang; Dingyi Zhuang; Song Zhang; Yang Liu 253; Xiaobo Qu 002; Jinhua Zhao 001 (CoRR, 2026)

Envisioning global urban development with satellite imagery and generative AI. - Kailai Sun; Yuebing Liang; Mingyi He; Yunhan Zheng; Alok Prakash; Shenhao Wang; Jinhua Zhao 001; Alex 'Sandy' Pentland (CoRR, 2026)

Accelerating High-Capacity Ridepooling in Robo-Taxi Systems. - Xinling Li 001; Daniele Gammelli; Alex Wallar; Jinhua Zhao 001; Gioele Zardini (IEEE Robotics Autom. Lett., 2026)

CORAL: Towards Autonomous Multi-Agent Evolution for Open-Ended Discovery. - Ao Qu; Han Zheng; Zijian Zhou 006; Yihao Yan; Yihong Tang; Shao Yong Ong; Fenglu Hong; Kaichen Zhou; Chonghe Jiang; Minwei Kong; Jiacheng Zhu; Xuan Jiang; et al. (CoRR, 2026)

Remote work expands pathways to upward career mobility. - Yunhan Zheng; Jinhua Zhao 001 (CoRR, 2026)

TailedTS: Benchmark Dataset for Heavy-Tailed Time Series Prediction and Periodicity Quantification. - Xinyu Chen 002; HanQin Cai; Lijun Ding; Jinhua Zhao 001 (CoRR, 2026)

SENSE: Satellite-based ENergy Synthesis for Sustainable Environment. - Kailai Sun; Mingyi He; Heye Huang; Can Rong; Alok Prakash; Baoshen Guo; Shenhao Wang; Jinhua Zhao 001 (CoRR, 2026)

FrontierOR: Benchmarking LLMs' Capacity for Efficient Algorithm Design in Large-Scale Optimization. - Minwei Kong; Chonghe Jiang; Ao Qu; Wenbin Ouyang; Zhaoming Zeng; Xiaotong Guo; Zhekai Li; Junyi Li; Yi Fan; Xinshou Zheng; Xi Jing; Yikai Zhang; et al. (CoRR, 2026)