Brian Yueshuai He

According to our database, Brian Yueshuai He authored at least 13 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Mobility AI Agents and Networks.

Haoxuan Ma, Yifan Liu, Qinhua Jiang, Brian Yueshuai He, Xishun Liao, Jiaqi Ma

IEEE Trans. Intell. Veh., July, 2024

Foundation Intelligence for Smart Infrastructure Services in Transportation 5.0.

Xu Han, Zonglin Meng, Xin Xia, Xishun Liao, Brian Yueshuai He, Zhaoliang Zheng, Yutong Wang, Hao Xiang, Zewei Zhou, Letian Gao, Lili Fan, Yuke Li, Jiaqi Ma

IEEE Trans. Intell. Veh., January, 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

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

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, Emmanuel Tung, Yinlong Qian, Lingyi Zhao, Zihao Zhou, Zeeshan Rasheed, Khurram Shafique

CoRR, 2024

Deploying scalable traffic prediction models for efficient management in real-world large transportation networks during hurricane evacuations.

Qinhua Jiang, Brian Yueshuai He, Chang-Ju Lee, Jiaqi Ma

CoRR, 2024

A Two-sided Model for EV Market Dynamics and Policy Implications.

Haoxuan Ma, Brian Yueshuai He, Tomas Kaljevic, Jiaqi Ma

CoRR, 2024

Deep Activity Model: A Generative Approach for Human Mobility Pattern Synthesis.

Xishun Liao, Brian Yueshuai He, Qinhua Jiang, Chenchen Kuai, Jiaqi Ma

CoRR, 2024

Semantic Trajectory Data Mining with LLM-Informed POI Classification.

Yifan Liu, Chenchen Kuai, Haoxuan Ma, Xishun Liao, Brian Yueshuai He, Jiaqi Ma

CoRR, 2024

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, Hani Nassif, Xuegang (Jeff) Ban

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, Joseph Y. J. Chow, Kaan Ozbay

CoRR, 2020

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

2017

A privacy design problem for sharing transport service tour data.

Brian Yueshuai He, Joseph Y. J. Chow, Mehdi Nourinejad

Proceedings of the 20th IEEE International Conference on Intelligent Transportation Systems, 2017