Our recent work of Recommendation System
- 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.
- Chuxu Zhang, 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, Faisal Kamiran, 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]
- Chuxu Zhang, Lu Yu, 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].