Dynamic Bus Route Adjustment Based on Hot Bus Stop Pair Extraction. - Jiaye Liu; Jiali Mao; Yuntao Du 002; Lishen Zhao; Zhao Zhang 009 (DASFAA (3), 2019)

Road Intersection Detection Based on Direction Ratio Statistics Analysis. - Min Pu; Jiali Mao; Yuntao Du 002; Yibin Shen; Cheqing Jin (MDM, 2019)

E2DTC: An End to End Deep Trajectory Clustering Framework via Self-Training. - Ziquan Fang; Yuntao Du 002; Lu Chen 001; Yujia Hu; Yunjun Gao; Gang Chen 001 (ICDE, 2021)

SMS: An Efficient Source Model Selection Framework for Model Reuse. - Minjun Zhao; Lu Chen 001; Keyu Yang; Yuntao Du 002; Yunjun Gao (CoRR, 2021)

ST2Vec: Spatio-Temporal Trajectory Similarity Learning in Road Networks. - Ziquan Fang; Yuntao Du 002; Xinjun Zhu; Lu Chen 001; Yunjun Gao; Christian S. Jensen (CoRR, 2021)

MDTP: A Multi-source Deep Traffic Prediction Framework over Spatio-Temporal Trajectory Data. - Ziquan Fang; Lu Pan; Lu Chen 001; Yuntao Du 002; Yunjun Gao (Proc. VLDB Endow., 2021)

Spatio-Temporal Trajectory Similarity Learning in Road Networks. - Ziquan Fang; Yuntao Du 002; Xinjun Zhu; Danlei Hu; Lu Chen 001; Yunjun Gao; Christian S. Jensen (KDD, 2022)

HAKG: Hierarchy-Aware Knowledge Gated Network for Recommendation. - Yuntao Du 002; Xinjun Zhu; Lu Chen 001; Baihua Zheng; Yunjun Gao (SIGIR, 2022)

Self-Guided Learning to Denoise for Robust Recommendation. - Yunjun Gao; Yuntao Du 002; Yujia Hu; Lu Chen 001; Xinjun Zhu; Ziquan Fang; Baihua Zheng (SIGIR, 2022)

FLBooster: A Unified and Efficient Platform for Federated Learning Acceleration. - Zhihao Zeng; Yuntao Du 002; Ziquan Fang; Lu Chen 001; Shiliang Pu; Guodong Chen; Hui Wang; Yunjun Gao (ICDE, 2023)

Knowledge-refined Denoising Network for Robust Recommendation. - Xinjun Zhu; Yuntao Du 002; Yuren Mao; Lu Chen 001; Yujia Hu; Yunjun Gao (SIGIR, 2023)

Towards Explainable Collaborative Filtering with Taste Clusters Learning. - Yuntao Du 002; Jianxun Lian; Jing Yao; Xiting Wang; Mingqi Wu; Lu Chen 001; Yunjun Gao; Xing Xie 001 (WWW, 2023)

LDPTrace: Locally Differentially Private Trajectory Synthesis. - Yuntao Du 002; Yujia Hu; Zhikun Zhang 001; Ziquan Fang; Lu Chen 001; Baihua Zheng; Yunjun Gao (Proc. VLDB Endow., 2023)

MetaKG: Meta-Learning on Knowledge Graph for Cold-Start Recommendation. - Yuntao Du 002; Xinjun Zhu; Lu Chen 001; Ziquan Fang; Yunjun Gao (IEEE Trans. Knowl. Data Eng., 2023)

Finding Materialized Models for Model Reuse. - Minjun Zhao; Lu Chen 001; Keyu Yang; Yuntao Du 002; Yunjun Gao (IEEE Trans. Knowl. Data Eng., 2023)

Real-Time Trajectory Synthesis with Local Differential Privacy. - Yujia Hu; Yuntao Du 002; Zhikun Zhang 001; Ziquan Fang; Lu Chen 001; Kai Zheng 001; Yunjun Gao (ICDE, 2024)

Towards Principled Assessment of Tabular Data Synthesis Algorithms. - Yuntao Du 002; Ninghui Li (CoRR, 2024)

Automated Profile Inference with Language Model Agents. - Yuntao Du 002; Zitao Li; Bolin Ding; Yaliang Li; Hanshen Xiao; Jingren Zhou 001; Ninghui Li (CoRR, 2025)

SOFT: Selective Data Obfuscation for Protecting LLM Fine-tuning against Membership Inference Attacks. - Kaiyuan Zhang 002; Siyuan Cheng 005; Hanxi Guo; Yuetian Chen; Zian Su; Shengwei An; Yuntao Du 002; Charles Fleming; Ashish Kundu; Xiangyu Zhang 001; Ninghui Li (CoRR, 2025)

Cascading and Proxy Membership Inference Attacks. - Yuntao Du 002; Jiacheng Li; Yuetian Chen; Kaiyuan Zhang 002; Zhizhen Yuan; Hanshen Xiao; Bruno Ribeiro 001; Ninghui Li (CoRR, 2025)