Yuntao Du   杜云滔

I am a senior graduate student in computer science at Zhejiang University, advised by Prof. Yunjun Gao. I have been very fortunate to work with Prof. Christian S. Jensen at Aalborg University, with Prof. Zhikun Zhang at Stanford University, with Dr. Jianxun Lian and Dr. Xing Xie as a research intern at Microsoft Research Asia.

I am applying for Ph.D. program in Fall 2023.

Email  /  CV  /  Google Scholar  /  Github

profile photo
  • [Jan, 2023] One paper is accepted by WWW on explainable collaborative filtering!
  • [Dec, 2022] One paper is accepted by ICDE on federated learning acceleration!
  • [May, 2022] One paper is accepted by SIGKDD on trajectory similarity learning!
  • [Apr, 2022] One paper is accepted by TKDE on cold-start recommendation!
  • [Mar, 2022] Two papers are accepted by SIGIR on knowledge-aware/robust recommender systems!
  • [Feb, 2021] One paper is accepted by VLDB on spatio-temporal traffic prediction!
  • [Dec, 2020] One paper is accepted by ICDE on trajectory clustering!


My goal is to build reliable models with a focus on their explainability (to facilitate human understanding), data privacy (to preserve users' privacy), and robustness (to data noise), which guarantee their trustworthiness in critical real-world applications.

LDPTrace: Locally Differentially Private Trajectory Synthesis
Yuntao Du, Yujia Hu, Zhikun Zhang, Ziquan Fang, Lu Chen, Baihua Zheng and Yunjun Gao
Under review, 2023.
[paper]   [code]

Towards Explainable Collaborative Filtering with Taste Clusters Learning
Yuntao Du, Jianxun Lian, Jing Yao, Xiting Wang, Mingqi Wu, Lu Chen, Yunjun Gao and Xing Xie
WWW, 2023.
[paper]   [code]

FLBooster: A Unified and Efficient Platform for Federated Learning Acceleration
Zhihao Zeng, Yuntao Du, Ziquan Fang, Lu Chen, Shiliang Pu, Guodong Chen, Hui Wang and Yunjun Gao
ICDE, 2023.
[paper]   [code]
Spatio-Temporal Trajectory Similarity Learning in Road Networks
Ziquan Fang, Yuntao Du, Xinjun Zhu, Danlei Hu, Lu Chen, Yunjun Gao, Christian S. Jensen
SIGKDD, 2022.
[paper]   [code]
HAKG: Hierarchy-Aware Knowledge Gated Network for Recommendation
Yuntao Du, Xinjun Zhu, Lu Chen, Baihua Zheng, Yunjun Gao
SIGIR, 2022.
[paper]   [code]   [slides]
Self-Guided Learning to Denoise for Robust Recommendation
Yunjun Gao, Yuntao Du, Yujia Hu, Lu Chen, Xinjun Zhu, Baihua Zheng
SIGIR, 2022.
[paper]   [code]   [slides]
MetaKG: Meta-learning on Knowledge Graph for Cold-start Recommendation
Yuntao Du, Xinjun Zhu, Lu Chen, Ziquan Fang, Yunjun Gao
TKDE, 2022.
[paper]   [code]
E2DTC: An End to End Deep Trajectory Clustering Framework via Self-Training
Ziquan Fang, Yuntao Du, Lu Chen, Yujia Hu, Yunjun Gao, Gang Chen
ICDE, 2021.
[paper]   [code]
MDTP: A Multi-source Deep Traffic Prediction Framework over Spatio-Temporal Trajectory Data
Ziquan Fang, Lu Pan, Lu Chen, Yuntao Du, Yunjun Gao
VLDB, 2021.
Zhejiang University
2020.09 - Now

M.Eng. in Computer Science
Advisor: Prof. Yunjun Gao
Microsoft Research Asia
2022.05 - 2023.01

Research Intern, Social Computing Group
Advisor: Dr. Jianxun Lian and Dr. Xing Xie
East China Normal University
2015.09 - 2020.07

B.Eng. in Data Science
B.Sc. in Statisitics (Second Major)
Advisor: Prof. Jiali Mao, Prof. Weining Qian
Professional Service

I am/was a program committee member for the following conferences/workshops:

  • The AAAI Conference on Artificial Intelligence (AAAI) 2023.
  • ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) 2023.
I am/was invited reviewers for the following journals:
  • ACM Transactions on Recommender Systems (TORS)

Honors & Awards
  • National Scholarship (Top 1%), 2022.
  • SIGIR Student Travel Grant, 2022.
  • National Scholarship (Top 1%), 2021.
  • Tencent Scholarship (Top 1%), 2021.
  • Excellent Undergraduate Student (Top 1%), 2020.

I love to play badminton and swimming. I am/was the captain of my department badminton/swimming team.
I also love to write Chinese calligraphy (Shufa) and play the violin. Paganini's works are my favorite.

Template adapted from Jon Barron.
Last updated: Jan 12, 2023