About

Haitao Yuan (袁海涛 in Chinese) is currently a research fellow working with Prof. Gao Cong at College of Computing and Data Science, NTU. Prior to that, he received his Ph.D. degree in computer science from Tsinghua University, supervised by Prof. Guoliang Li and Prof. Ling Feng. Furthermore, Haitao is fortunate to enjoy a close academic collaboration with Prof. Zhifeng Bao.

Haitao’s research focuses on developing innovative technologies that can effectively and efficiently utilize A(AI) and B(Big Data) to benefit people. To achieve this goal, Haitao concentrates on three key research areas (SIR):

  • Building Scalable data storage systems
  • Creating Intelligent mobile applications
  • Developing Robust algorithms and models

He has published 20+ papers in the top DB/DM conferences and journals (SIGMOD, VLDB, ICDE, WWW, TKDE, etc).

Feel free to catch me if interested to discuss ideas or work together. 😜

Email: yhaitao45@163.com / haitao.yuan@ntu.edu.sg

Office: N4 #B3a-02, 50 Nanyang Avenue, Singapore 639798.

Research Interests

  • Spatio-temporal Data Managment (S&R): trajectory search and join, trajectory generation, road network generation.
  • AI-powered Database Optimization (S&I): materialized view advisor, query optimization.
  • Time-series Data Mining (I&R): workload forecasting and anomaly detection.
  • Interdisciplinary Application (I): AI4Transportation (e.g., travel time estimation, traffic prediction) and AI4Science (e.g., medical diagnosis).

What's New

  • 2024-03: One research paper is accepted by DASFAA 2024.
  • 2024-03: One research paper is accepted by ICDE 2024.
  • 2024-03: One research paper is accepted by TOIS.
  • 2024-02: One research paper is accepted by VLDB 2024. <!– * 2023-12: One research paper is accepted by ICDE 2024.
  • 2023-08: One DIA paper is accepted by SIGMOD 2024.
  • 2023-07: One coauthor research paper is accepted by IEEE TMC.
  • 2023-07: One invited paper is accepted by ACM TURC2023.
  • 2023-07: One research paper is accepted by VLDB 2023. –>

Selected Awards

  • 2021 ACM SIGMOD China Doctoral Dissertation Award
  • 2021 Best Ph.D Thesis of Tsinghua CS
  • 2021 Outstanding Graduate of Beijing
  • 2020 National Scholarship
  • 2020 Innovative Future Scholarship of Tsinghua CS
  • 2019 VMware Scholarship Award
  • 2019 Best Paper Award of DASFAA2019

Program Committee Member and Reviewer

KDD, ICDE, CIKM, WWWJ etc.

Invited Talks

I am happy to give a talk if you are interested in my work. 😊

  1. Route Travel Time Estimation on A Road Network Revisited: Heterogeneity, Proximity, Periodicity and Dynamicity. PVLDB’23, 2023. 09 [Slides]

  2. Automatic Road Extraction with Multi-Source Data Revisited: Completeness, Smoothness and Discrimination. PVLDB’23, 2023. 09 [Slides]

  3. Deep Learnig for ETA Application on Baidu Map. Beijing University of Posts and Telecommunications. 2022. 05.

  4. Big Spatio-temporal Trajectory Data Management and Mining (In Chinese). Renmin University of China, 2022. 01