News
-
[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!
|
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, 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.
[paper]
|
|
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.
|
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: Jan 12, 2023
|
|