Dalian Maritime University

Xiaochuan Gou勾小川

Xinghai Associate Professor · Ph.D. in Computer Science

I am a Xinghai Associate Professor at the School of Artificial Intelligence, Dalian Maritime University. My research focuses on explainable spatiotemporal analysis and forecasting, with applications in intelligent transportation, maritime systems, and scientific discovery. I study how to understand complex dynamics from spatiotemporal data and build accurate, stable, and interpretable prediction methods.

I received my Ph.D. in Computer Science from King Abdullah University of Science and Technology (KAUST) in 2025, advised by Prof. Xiangliang Zhang and Prof. Di Wang. I previously earned my master’s degree at National Chiao Tung University and my bachelor’s degree at Wuhan University. I was also a visiting Ph.D. student in the MLIA lab at Sorbonne University, working with Prof. Patrick Gallinari.

Research interests

Spatiotemporal intelligence

Explainable forecasting, graph neural networks, multi-task learning, and time-series anomaly analysis.

Transportation & maritime AI

Traffic dynamics and incidents, multi-vessel interactions, and robust trajectory prediction across regions.

AI for science

Deep learning for spectral reconstruction and atomic-level nanocluster design.

Current research: Interaction-aware multi-vessel trajectory prediction across regions using heterogeneous AIS data, with a focus on incomplete trajectories, varying observation quality, and model stability in complex navigation environments.

TraffiDent aligns traffic measurements, incidents, and road-node attributes in space and time, providing open data for traffic forecasting and analysis of traffic–incident relationships. Explore the dataset ↗

Selected publications

Google Scholar ↗

* denotes equal contribution.

Academic experience

Education

2020.09 — 2025.12

King Abdullah University of Science and Technology

Ph.D. in Computer Science

Advisors: Xiangliang Zhang and Di Wang

2022.10 — 2023.01

Sorbonne University · MLIA Lab

Visiting Ph.D. student in Computer Science

Advisor: Patrick Gallinari

2016.09 — 2019.01

National Chiao Tung University

M.Eng. in Computer Science

Advisor: Wen-Chih Peng

2012.09 — 2016.06

Wuhan University

B.Eng. in Spatial Information & Digital Technology

Advisor: Yandong Wang

Research & appointments

2026.07 — Present

Dalian Maritime University · School of Artificial Intelligence

Xinghai Associate Professor

Multi-vessel interactions and robust trajectory prediction across regions.

2020.09 — 2025.12

KAUST / University of Notre Dame · Machine Intelligence and kNowledge Engineering (MINE) Lab

Research Assistant · Advisor: Xiangliang Zhang

Explainable and efficient spatiotemporal forecasting; the TraffiDent dataset.

2021.09 — 2025.12

KAUST · Provable Responsible AI and Data Analytics Lab

Research Assistant · Advisor: Di Wang

Smart spectral reconstruction and presynthesis prediction of coinage-metal nanoclusters.

2021.09 — 2025.12

KAUST · Center of Excellence for Generative AI

Center member

2019.02 — 2020.05

NielsenIQ · Yimian Data

Data Analyst · Shenzhen

Social intelligence, public-opinion analysis, and data visualization.

2016.09 — 2019.01

National Chiao Tung University · Advanced Database System Lab

Research Assistant · Advisor: Wen-Chih Peng

Public transportation mode detection and trajectory data mining.

2015.06 — 2015.09

Wuhan University · State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing

Research Intern · Advisor: Yandong Wang

Collection and integration of geospatial social-media data.

Teaching & service

Teaching

CS229 · Machine Learning, KAUST
Teaching Assistant. Contributed to lab instruction, assignments, and exam design, covering statistics and probability, classical machine learning algorithms, and practical implementation.

Program committees & reviewing

  • Conferences：ICLR, ACM SIGKDD, AAAI, ACM CIKM
  • Journals：Information Sciences; Engineering Applications of Artificial Intelligence; IEEE Transactions on Consumer Electronics

Selected talks

  • IEEE Big Data 2022 · QuoGNN: Quotient Graph Neural Network for Urban Flow Forecasting
  • Dalian University of Technology International Young Scholars Forum 2024 · Explainable Spatiotemporal Forecasting

Honors & awards

  • KAUST Fellowship
  • Student Travel Awards · ACM SIGSPATIAL and ACM WSDM
  • First Prize · 8th KAUST–NVIDIA AI Competition
  • Scholarship for Outstanding Mainland Chinese Students · NCTU
  • Outstanding Graduate · Wuhan University
  • Meritorious Winner · Mathematical Contest in Modeling
  • Best Financial Innovation Award · Citi Financial Innovation Application Competition

Get in touch

I welcome academic exchanges on spatiotemporal intelligence, transportation and maritime AI, and AI for science.

xiaochuan.gou@dlmu.edu.cn