Yuntao Du

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, 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

News

[May, 2022] One papers are accepted by SIGKDD on trajectory similarity learning!
[Apr, 2022] One papers are accepted by TKDE on cold-start recommendation!
[Mar, 2022] Two papers are accepted by SIGIR on knowledge-aware recommendation and robust recommender systems!
[Feb, 2021] One papers are accepted by VLDB on spatio-temporal traffic prediction!
[Dec, 2020] One papers are accepted by ICDE on trajectory clustering!

Research

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, 2022. [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 Under review, 2022. [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. [paper]

Experience

	Zhejiang University 2020.09 - Now M.Eng. in Computer Science Advisor: Prof. Yunjun Gao
	Microsoft Research Asia 2022.05 - Now 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

Conference Program Committee Members: AAAI'23
Journal Reviewers: 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.

Miscellaneous

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: Nov 1, 2022