Yuntao Du

According to our database, Yuntao Du authored at least 16 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Towards Principled Assessment of Tabular Data Synthesis Algorithms.

Yuntao Du, Ninghui Li

CoRR, 2024

2023

Finding Materialized Models for Model Reuse.

Minjun Zhao, Lu Chen, Keyu Yang, Yuntao Du, Yunjun Gao

IEEE Trans. Knowl. Data Eng., December, 2023

MetaKG: Meta-Learning on Knowledge Graph for Cold-Start Recommendation.

Yuntao Du, Xinjun Zhu, Lu Chen, Ziquan Fang, Yunjun Gao

IEEE Trans. Knowl. Data Eng., October, 2023

LDPTrace: Locally Differentially Private Trajectory Synthesis.

Yuntao Du, Yujia Hu, Zhikun Zhang, Ziquan Fang, Lu Chen, Baihua Zheng, Yunjun Gao

Proc. VLDB Endow., 2023

Towards Explainable Collaborative Filtering with Taste Clusters Learning.

Yuntao Du, Jianxun Lian, Jing Yao, Xiting Wang, Mingqi Wu, Lu Chen, Yunjun Gao, Xing Xie

Proceedings of the ACM Web Conference 2023, 2023

Knowledge-refined Denoising Network for Robust Recommendation.

Xinjun Zhu, Yuntao Du, Yuren Mao, Lu Chen, Yujia Hu, Yunjun Gao

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

FLBooster: A Unified and Efficient Platform for Federated Learning Acceleration.

Zhihao Zeng, Yuntao Du, Ziquan Fang, Lu Chen, Shiliang Pu, Guodong Chen, Hui Wang, Yunjun Gao

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

2022

Self-Guided Learning to Denoise for Robust Recommendation.

Yunjun Gao, Yuntao Du, Yujia Hu, Lu Chen, Xinjun Zhu, Ziquan Fang, Baihua Zheng

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

HAKG: Hierarchy-Aware Knowledge Gated Network for Recommendation.

Yuntao Du, Xinjun Zhu, Lu Chen, Baihua Zheng, Yunjun Gao

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Spatio-Temporal Trajectory Similarity Learning in Road Networks.

Ziquan Fang, Yuntao Du, Xinjun Zhu, Danlei Hu, Lu Chen, Yunjun Gao, Christian S. Jensen

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2021

MDTP: A Multi-source Deep Traffic Prediction Framework over Spatio-Temporal Trajectory Data.

Ziquan Fang, Lu Pan, Lu Chen, Yuntao Du, Yunjun Gao

Proc. VLDB Endow., 2021

ST2Vec: Spatio-Temporal Trajectory Similarity Learning in Road Networks.

Ziquan Fang, Yuntao Du, Xinjun Zhu, Lu Chen, Yunjun Gao, Christian S. Jensen

CoRR, 2021

SMS: An Efficient Source Model Selection Framework for Model Reuse.

Minjun Zhao, Lu Chen, Keyu Yang, Yuntao Du, Yunjun Gao

CoRR, 2021

E²DTC: An End to End Deep Trajectory Clustering Framework via Self-Training.

Ziquan Fang, Yuntao Du, Lu Chen, Yujia Hu, Yunjun Gao, Gang Chen

Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

2019

Road Intersection Detection Based on Direction Ratio Statistics Analysis.

Min Pu, Jiali Mao, Yuntao Du, Yibin Shen, Cheqing Jin

Proceedings of the 20th IEEE International Conference on Mobile Data Management, 2019

Dynamic Bus Route Adjustment Based on Hot Bus Stop Pair Extraction.

Jiaye Liu, Jiali Mao, Yuntao Du, Lishen Zhao, Zhao Zhang

Proceedings of the Database Systems for Advanced Applications, 2019