• Shijie Zhang, Hongzhi Yin, Tong Chen, Zi Huang, Lizhen Cui and Xiangliang Zhang. Graph Embedding for Recommendation against Attribute Inference Attacks. The Web Conference 2021 (WWW'21),​ April, 2021.  (acceptance rate of 20.6%, 357/1736)
• Junliang Yu, Hongzhi Yin, Jundong Li, Qinyong Wang, Nguyen Quoc Viet Hung and Xiangliang Zhang. Self-Supervised Multi-Channel Hypergraph Convolutional Network for Social Recommendation. The Web Conference 2021 (WWW'21), April, 2021.  (acceptance rate of 20.6%, 357/1736)
• ​​​Basmah Altaf, Uchenna Akujuobi, Lu Yu, Xiangliang Zhang, Dataset Recommendation via Variational Graph Autoencoder. Accepted by 19th IEEE International Conference on Data Mining (ICDM 2019), November 8-11, 2019, Beijing, China (Regular paper, Acceptance rate= 95/1046 9.08%).​ 
• Yujun Chen, Yuanhong Wang, Yutao Zhang, Juhua Pu,  Xiangliang Zhang. AMENDER: an Attentive and Aggregate Multi-layered Network for Dataset Recommendation. Accepted by 19th IEEE International Conference on Data Mining (ICDM 2019)  , November 8-11, 2019, Beijing, China (Short paper, Acceptance rate= 18.5%).​
• Huafeng Liu, Liping Jing, Jingxuan Wen, Jian Yu, Xiangliang Zhang. In2Rec: Influence-based Interpretable Recommendation. Accepted by 28th ACM International Conference on Information and Knowledge Management (CIKM 2019), November 3rd-7th, 2019, Beijing, China (Acceptance rate=200/1030=19.4%). 
• Rui Yan, Ran Le, Yang Song, Tao Zhang, Xiangliang Zhang and Dongyan Zhao. Interview Choice Reveals Your Preference on the Market: To Improve Job-Resume Matching through Profiling Memories. Accepted by the 25th SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2019) ,   August 4 - 8, 2019 Anchorage, Alaska, USA  (Acceptance rate ~170/1200=14.2%).
•  Lu Yu, Chuxu Zhang,  Shangsong Liang, and Xiangliang Zhang. Multi-order Attentive Ranking Model for Sequential Recommendation.  Accepted by the 33rd AAAI Conference on Artificial Intelligence (AAAI 2019), January 27 – February 1, Honolulu, Hawaii, USA. (Acceptance rate = 1150/7095 = 16.2%) [PDF​][Bib][Slides​][Code].​
•  Basmah Altaf, Lu Yu, and Xiangliang Zhang: Spatio-Temporal Attention based recurrent neural network for next poi prediction. Accepted by IEEE Big Data 2018, Seattle, WA, USA, December 10-13, 2018 (short paper)[PDF​​][Bib][Slides​].​
• Chuxu Zhang, Lu Yu, Xiangliang Zhang, Nitesh Chawla: Task-Guided and Semantic-Aware Ranking for Academic Author-Paper Correlation Inference. 27th International Joint Conference on Artificial Intelligence and the 23rd European Conference on Artificial Intelligence (IJCAI 2018)​, pp. 3641-3647, Stockholm, Sweden, July 13-19 2018 (acceptance rate= 710/ 3470 = 20.4%)[PDF​​​][Bib].​ 
• Lu Yu, Chuxu Zhang, Shichao Pei, Guolei Sun, Xiangliang Zhang: WalkRanker: A Unified Pairwise Ranking Model with Multiple Relations for Item Recommendation. In Proceedings of the 32nd AAAI Conference on Artificial Intelligence (AAAI 2018), pp. 2596-2603, New Orleans, February 2–7, 2018 (acceptance rate= 933/ 3800 = 24.6%)[PDF​​][Bib].
• Chuxu Zhang, Chao Huang, Lu Yu, Xiangliang Zhang, Nitesh Chawla: Camel: Content-Aware and Meta-path Augmented Metric Learning for Author Identification. In Proceedings of the 27th International World Wide Web Conference (WWW 2018) (the Web Conference 2018), pp. 709-718, Lyon, France, Apr 23 - 27, 2018 (acceptance rate = 171/1155=14.8%)[PDF][Bib].​
• Fuzhen Zhuang, Jing Zheng, Jingwu Chen, Xiangliang Zhang, Chuan Shi, Qing He. Transfer collaborative filtering from multiple sources via consensus regularization. In Neural Networks Volume 108, pp. 287-295, December 2018. 
• , Lu Yu, Xiangliang Zhang, Nitesh Chawla: ImWalkMF: Joint Matrix Factorization and Implicit Walk Integrative Learning for Recommendation. In Proceedings of the 2017 IEEE International conference on Big Data (IEEE BigData 2017), pp. 857-866, Boston, December 11-14, 2017 (acceptance rate=79/437=18%) [PDF][Bib].
• Uchenna Akujuobi, Xiangliang Zhang: Delve: A Dataset-Driven Scholarly Search and Analysis System. In SIGKDD Explorations,  Vol. 19, Issue 2, pp. 36-46, 2017 [PDF​][Bib].
•  Basmah Altaf, FaisalKamiran, Xiangliang Zhang: Modeling Temporal Behavior of Awards Effect on Viewership of Movies. The 2017 Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2017), pp. 724-736, Jeju, South Korea, May 23-26, 2017 (acceptance rate = (45+84)/458=28.2%) [PDF​][Bib]
•  LuYu, Yan Wang, Chirag Shah, Xiangliang Zhang, “Collaborative User Network Embedding for Social Recommender Systems“. In Proceedings of 2017 SIAM International Conference on Data Mining (SDM 2017)​, pp. 381-389, Houston, Texas, April 27 - 29, 2017 (acceptance rate = 26%) [PDF][Bib].​

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