Haitao Yuan

Haitao Yuan

Research Fellow@NTU

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 database and machine learning technologies that can effectively and efficiently utilize Big Data (e.g., spatio-temporal, tabular, text, and image data) to benefit people in areas such as transportation, healthcare, education, and more. To achieve this goal, Haitao concentrates on three key research fields (SIP):

  • Building Scalable multi-modal data management and retrieval systems
  • Creating Intelligent data manipulation and preparation pipelines
  • Developing Practical models and algorithms for real-world applications

He has published 30+ papers in the top DB/DM conferences and journals (SIGMOD, VLDB, ICDE, KDD, WWW, TKDE, CIKM, etc).

Email: {first_name}.{last_name}@ntu.edu.sg (first_name is haitao, last_name is yuan)

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

Research Interests

  • Spatio-temporal Data Preparation and Management (S&I): trajectory search and join, trajectory generation, road network generation, traffic imputation.
  • AI-powered Database Optimization (S&P): materialized view advisor, query rewrite, index advisor.
  • Spatio-temporal Related/Interdisciplinary Application (I&P): AI4Transportation (e.g., travel time estimation, traffic prediction, POI recommendation), AI4Healthcare (e.g., medical diagnosis, molecular prediction) and AI4Education (e.g., mathematical exercise solver, knowledge tracing).
  • Retrieval-Augmented Generation (S&P): cost-aware RAG, multi-modal vector database.

What's New

  • 2024-12: One paper is accepted by AAAI 2025.
  • 2024-11: Two papers are accepted by KDD 2025.
  • 2024-11: One paper is accepted by SIGMOD 2025.
  • 2024-11: One paper is accepted by IEEE TMC 2024.
  • 2024-08: One paper is accepted by VLDB 2025.
  • 2024-07: Two papers are accepted by CIKM 2024.
  • 2024-06: Three papers ([SIGMOD] and [ICDE]) are selected into 2024 Highly-Cited List (2019-2023).
  • 2024-03: One paper is accepted by DASFAA 2024.
  • 2024-03: One paper is accepted by ICDE 2024.
  • 2024-03: One paper is accepted by ACM TOIS 2024.
  • 2024-02: One paper is accepted by VLDB 2024.

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. 😊

  • Nuhuo: An Effective Estimation Model for Traffic Speed Histogram Imputation on A Road Network. PVLDB’24, 2024. 08 [Slides]

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

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

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

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