FREIGHT-MNet: A Public Multimodal Benchmark for Cold-Start Freight OD Travel-Time Risk
A benchmark.
Yuteng Zhang.
LLM × SPATIOTEMPORAL INTELLIGENCE
LLMs for Spatiotemporal Data.
LLM Interpretability.
Exploring how language models understand cities, reason about movement, and make decisions more interpretable.
The city is still here.
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NEWS / RESEARCH LOG
Recent signals.
A timeline of selected publications and acceptances.
All publications05 PAPERS2024 — 2026
- 2026 · AcceptedFREIGHT-MNetICDM 2026
- 2026 · AcceptedCausal-Flow SCMSIGSPATIAL 2026
- Jul 2026 · PublishedTravel Behavior in Extreme HeatTRD 2026
- Jan 2026 · PublishedFrom Biases to OpportunitiesTRC 2026
- Feb 2024 · OnlineGANSamples-ac4CAnal. Biochem. 2024
01 / About
About.
I am a Ph.D. student in Intelligent Transportation at the Hong Kong University of Science and Technology (Guangzhou), advised by Prof. Jiawei Wang. I received my M.S. in Industrial and Systems Engineering from the University of Washington and my B.E. in Software Engineering from Jilin University.
My research interests lie at the intersection of Large Language Models (LLMs), spatiotemporal data, and intelligent decision-making. I am particularly interested in how LLMs understand and reason about human mobility and urban environments, how their internal knowledge and decision-making processes can be interpreted, and how agent-based systems can support spatiotemporal analysis and decision-making.
02 / Publications
Publication
Causal-Flow SCM: Calibrated Forecasting and Counterfactual Prioritization for Airport Delay Propagation
Calibrated forecasting and counterfactual prioritization for airport delay propagation.
From biases to opportunities: leveraging Location-Based-Service (LBS) data for next-generation transportation planning
Understanding biases in location-based-service data and its role in transportation planning.
GANSamples-ac4C: Enhancing ac4C site prediction via generative adversarial networks and transfer learning
Generative adversarial learning and transfer learning for ac4C site prediction.
My name is highlighted. Accepted papers are distinguished from published journal articles. Bibliographic details were last reviewed on October 6, 2026.
03 / Path
Path.
Education
Sep. 2026 — Present
HKUST (Guangzhou)
Ph.D. in Intelligent Transportation
Systems Hub · Advisor: Prof. Jiawei Wang
Guangzhou, China · Expected June 2029
Sep. 2024 — Jun. 2026
University of Washington
M.S. in Industrial and Systems Engineering
GPA: 3.88 / 4.00
Seattle, WA, USA
Sep. 2020 — Jun. 2024
Jilin University
B.E. in Software Engineering
GPA: 3.67 / 4.00
Changchun, China
Research & teaching
Doctoral Research
Sep. 2026 — PresentHKUST (Guangzhou)
Intelligent Transportation · Advisor: Prof. Jiawei Wang
Transportation systems, urban mobility, transportation operations, and data-driven system modeling.
Research Assistant
Mar. 2025 — Aug. 2026THINKLab · University of Washington
Advisor: Prof. Cynthia Chen · Civil and Environmental Engineering
Analyzed large-scale transit, mobility, weather, and land-use data for extreme-weather travel behavior, urban resilience, and transportation reliability. Developed reproducible data-processing, statistical, spatial, and network-analysis workflows.
Teaching Assistant
Sep. 2025 — Dec. 2025University of Washington
CET 512: Transportation Data Collection
Graded assignments, provided feedback on transportation data analysis, and held office sessions for students.
Research Assistant
Jan. 2024 — Jun. 2024International Institute of Green Finance
Environmental and sustainability research
Examined environmental-protection case studies, organized ESG-related information, and prepared quantitative summaries.
04 / Contact
Let’s connect.
Interested in language models, mobility, agents, or interpretable decision-making? I welcome research conversations and collaboration.
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