Semi-Supervised Multi-Label Feature Selection by Preserving Feature-Label Space Consistency. - Yuanyuan Xu 002; Jun Wang 023; Shuai An; Jinmao Wei 001; Jianhua Ruan (CIKM, 2018)

To Avoid the Pitfall of Missing Labels in Feature Selection: A Generative Model Gives the Answer. - Yuanyuan Xu 002; Jun Wang 023; Jinmao Wei 001 (AAAI, 2020)

Unsupervised Cross-View Feature Selection on incomplete data. - Yuanyuan Xu 002; Yu Yin; Jun Wang 023; Jinmao Wei 001; Jian Liu; Lina Yao 001; Wenjie Zhang 001 (Knowl. Based Syst., 2021)

A Holistic Approach for Answering Logical Queries on Knowledge Graphs. - Yuhan Wu 008; Yuanyuan Xu 002; Xuemin Lin 001; Wenjie Zhang 001 (ICDE, 2023)

Query2GMM: Learning Representation with Gaussian Mixture Model for Reasoning over Knowledge Graphs. - Yuhan Wu 008; Yuanyuan Xu 002; Wenjie Zhang 001; Ying Zhang 001 (CoRR, 2023)

Billion-Scale Bipartite Graph Embedding: A Global-Local Induced Approach. - Xueyi Wu; Yuanyuan Xu 002; Wenjie Zhang 001; Ying Zhang 001 (Proc. VLDB Endow., 2023)

Class-aware tiny object recognition over large-scale 3D point clouds. - Jialin Li; Sarp Saydam; Yuanyuan Xu 002; Boge Liu; Binghao Li; Xuemin Lin 001; Wenjie Zhang 001 (Neurocomputing, 2023)

TimeSGN: Scalable and Effective Temporal Graph Neural Network. - Yuanyuan Xu 002; Wenjie Zhang 001; Ying Zhang 001; Maria E. Orlowska; Xuemin Lin 001 (ICDE, 2024)

Query2GMM: Learning Representation with Gaussian Mixture Model for Reasoning over Knowledge Graphs. - Yuhan Wu 008; Yuanyuan Xu 002; Wenjie Zhang 001; Xiwei Xu 001; Ying Zhang 001 (WWW, 2024)

Learning Accurate Label-Specific Features From Partially Multilabeled Data. - Tiantian Xu 002; Yuanyuan Xu 002; Shiyu Yang; Binghao Li; Wenjie Zhang 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Fast and Accurate Temporal Hypergraph Representation for Hyperedge Prediction. - Yuanyuan Xu 002; Wenjie Zhang 001; Ying Zhang 001; Xiwei Xu 001; Xuemin Lin 001 (KDD (1), 2025)

Ranking on Dynamic Graphs: An Effective and Robust Band-Pass Disentangled Approach. - Yingxuan Li; Yuanyuan Xu 002; Xuemin Lin 001; Wenjie Zhang 001; Ying Zhang 001 (WWW, 2025)

AI-Empowered Catalyst Discovery: A Survey from Classical Machine Learning Approaches to Large Language Models. - Yuanyuan Xu 002; Hanchen Wang 001; Wenjie Zhang 001; Lexing Xie; Yin Chen; Flora Salim; Ying Zhang 001; Justin Gooding; Toby Walsh (CoRR, 2025)

Unlocking Multi-Modal Potentials for Dynamic Text-Attributed Graph Representation. - Yuanyuan Xu 002; Wenjie Zhang 001; Ying Zhang 001; Xuemin Lin 001; Xiwei Xu 001 (CoRR, 2025)

Scalable and Effective Temporal Graph Representation Learning With Hyperbolic Geometry. - Yuanyuan Xu 002; Wenjie Zhang 001; Xiwei Xu 001; Binghao Li; Ying Zhang 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

UniDyG: A Unified and Effective Representation Learning Approach for Large Dynamic Graphs. - Yuanyuan Xu 002; Wenjie Zhang 001; Xuemin Lin 001; Ying Zhang 001 (IEEE Trans. Knowl. Data Eng., 2025)