A privacy design problem for sharing transport service tour data. - Brian Yueshuai He; Joseph Y. J. Chow; Mehdi Nourinejad (ITSC, 2017)

Impact of COVID-19 Behavioral Inertia on Reopening Strategies for New York City Transit. - Ding Wang; Brian Yueshuai He; Jingqin Gao; Joseph Y. J. Chow; Kaan Ozbay; Shri Iyer (CoRR, 2020)

A validated multi-agent simulation test bed to evaluate congestion pricing policies on population segments by time-of-day in New York City. - Brian Yueshuai He; Jinkai Zhou; Ziyi Ma; Ding Wang; Di Sha; Mina Lee 006; Joseph Y. J. Chow; Kaan Ozbay (CoRR, 2020)

Agent-based Simulation Model and Deep Learning Techniques to Evaluate and Predict Transportation Trends around COVID-19. - Ding Wang; Fan Zuo; Jingqin Gao; Brian Yueshuai He; Zilin Bian; Suzana Duran Bernardes; Chaekuk Na; Jingxing Wang; John Petinos; Kaan Ozbay; Joseph Y. J. Chow; Shri Iyer; et al. (CoRR, 2020)

Multi-Agent Multimodal Transportation Simulation for Mega-cities: Application of Los Angeles. - Brian Yueshuai He; Qinhua Jiang; Haoxuan Ma; Jiaqi Ma 003 (ANT/EDI40, 2024)

Semantic Trajectory Data Mining with LLM-Informed POI Classification. - Yifan Liu; Chenchen Kuai; Xishun Liao; Haoxuan Ma; Brian Yueshuai He; Jiaqi Ma 003 (ITSC, 2024)

A Two-Sided Model for EV Market Dynamics and Policy Implications. - Haoxuan Ma; Brian Yueshuai He; Tomas Kaljevic; Jiaqi Ma 003 (ITSC, 2024)

Deep Activity Model: A Generative Approach for Human Mobility Pattern Synthesis. - Xishun Liao; Brian Yueshuai He; Qinhua Jiang; Chenchen Kuai; Jiaqi Ma 003 (CoRR, 2024)

NUMOSIM: A Synthetic Mobility Dataset with Anomaly Detection Benchmarks. - Chris Stanford; Suman Adari; Xishun Liao; Brian Yueshuai He; Qinhua Jiang; Chenchen Kuai; Jiaqi Ma 003; Emmanuel Tung; Yinlong Qian; Lingyi Zhao; Zihao Zhou; Zeeshan Rasheed; et al. (CoRR, 2024)

Human Mobility Modeling with Limited Information via Large Language Models. - Yifan Liu; Xishun Liao; Haoxuan Ma; Brian Yueshuai He; Chris Stanford; Jiaqi Ma 003 (CoRR, 2024)

Reconstructing Human Mobility Pattern: A Semi-Supervised Approach for Cross-Dataset Transfer Learning. - Xishun Liao; Yifan Liu; Chenchen Kuai; Haoxuan Ma; Brian Yueshuai He; Shangqing Cao; Chris Stanford; Jiaqi Ma 003 (CoRR, 2024)

Foundation Intelligence for Smart Infrastructure Services in Transportation 5.0. - Xu Han 014; Zonglin Meng; Xin Xia 007; Xishun Liao; Brian Yueshuai He; Zhaoliang Zheng; Yutong Wang 001; Hao Xiang; Zewei Zhou; Letian Gao; Lili Fan; Yuke Li; et al. (IEEE Trans. Intell. Veh., 2024)

Mobility AI Agents and Networks. - Haoxuan Ma; Yifan Liu; Qinhua Jiang; Brian Yueshuai He; Xishun Liao; Jiaqi Ma 003 (IEEE Trans. Intell. Veh., 2024)

Deploying Scalable Traffic Prediction Models for Efficient Management in Real-World Large Transportation Networks During Hurricane Evacuations. - Qinhua Jiang; Brian Yueshuai He; Changju Lee; Jiaqi Ma 003 (IEEE Intell. Transp. Syst. Mag., 2025)

Next-Generation Travel Demand Modeling with a Generative Framework for Household Activity Coordination. - Xishun Liao; Haoxuan Ma; Yifan Liu; Yuxiang Wei; Brian Yueshuai He; Chris Stanford; Jiaqi Ma 003 (CoRR, 2025)