I am a third-year graduate student in computer science at Zhejiang University, advised by Prof. Yunjun Gao.
I have been very fortunate to work with Prof. Zhikun Zhang at Stanford University , with Prof. Christian S. Jensen at Aalborg University
, with Prof. Baihua Zheng at Singapore Management University
, with Dr. Jianxun Lian and Dr. Xing Xie at Microsoft Research Asia
.
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. I have published more than 10 papers at the top international conferences such as VLDB, KDD, SIGIR and ICDE.
🔥 News
- 2023.01: One paper is accepted by WWW on explainable collaborative filtering!
- 2022.12: One paper is accepted by ICDE on federated learning acceleration!
- 2022.05: One paper is accepted by SIGKDD on trajectory similarity learning!
- 2022.04: One paper is accepted by TKDE on cold-start recommendation!
- 2022.03: Two papers are accepted by SIGIR on knowledge-aware/robust recommender systems!
📝 Selected Publications (FULL list)
🔐 Data Privacy

LDPTrace: Locally Differentially Private Trajectory Synthesis
Yuntao Du, Yujia Hu, Zhikun Zhang, Ziquan Fang, Lu Chen, Baihua Zheng, Yunjun Gao
- LDPTrace is the first trajectory synthesis solution with local differential privacy guarantee. 👣 🕹️ 🔒
📊 Data Mining

Towards Explainable Collaborative Filtering with Taste Clusters Learning
Yuntao Du, Jianxun Lian, Jing Yao, Xiting Wang, Mingqi Wu, Lu Chen, Yunjun Gao, Xing Xie
Blog |
- ECF is the first cluster-based explainable collaborative filtering method.
- ECF has been deployed on Xbox for game recommendation. 🎮 ⛏️ 🚀

HAKG: Hierarchy-Aware Knowledge Gated Network for Recommendation
Yuntao Du, Xinjun Zhu, Lu Chen, Baihua Zheng, Yunjun Gao
Blog |
- HAKG is the hyperbolic knowledge-aware recommendation model.
- HAKG achieves SOTA results on many public datasets. 📈 💫 🔝
✍🏻 Professional Services
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 and Awards
- 2022.10 National Scholarship (Top 1%)
- 2022.04 SIGIR Student Travel Grant
- 2021.10 Tencent Scholarship (Top 1%)
- 2021.10 National Scholarship (Top 1%)
- 2019.10 Excellent Undergraduate Student (Top 1%)
📖 Educations
- 2020.09 - 2023.06, Master, Department of Computer Science and Technology, Zhejiang University, Hangzhou, China
- 2015.09 - 2020.06, Undergraduate, School of Data Science and Engineering, East China Normal Univeristy, Shanghai, China.
💬 Invited Talks
- 2023.01, Explainble Clustering and Cluster-based Collaborative Filtering, Social Computing Group, MSRA internal talk | [Slides]
- 2022.04, HAKG: Hierarchy-Aware Knowledge Gated Network for Recommendation, SIGIR 2022 | [Slides]
- 2022.04, Self-Guided Learning to Denoise for Robust Recommendation, SIGIR 2022 | [Slides]
💻 Internships
- 2022.05 - 2023.01, MSRA, social computing Group, Beijing, China.