Shoujin Wang, Longbing Cao, Liang Hu, Shlomo Berkovsky, Xiaoshui Huang, Lin Xiao, Wenpeng Lu: Jointly Modeling Intra- and Inter-transaction Dependencies with Hierarchical Attentive Transaction Embeddings for Next-item Recommendation. IEEE Intelligent Systems, 36(4): 56-64 (2021)
Shoujin Wang, Gabriella Pasi, Liang Hu, Longbing Cao: The Era of Intelligent Recommendation: Editorial on Intelligent Recommendation with Advanced AI and Learning. IEEE Intell. Syst. 35(5): 3-6 (2020)
Hu, Liang, Q. Chen, H. Zhao, S. Jian, L. Cao, and J. Cao, "Neural Cross-Session Filtering: Next-Item Prediction Under Intra- and Inter-Session Context," IEEE Intelligent Systems, vol. 33, pp. 57-67, 2018.
Hu, Liang, Longbing Cao, Jian Cao, Zhiping Gu, Guandong Xu, and Jie Wang. "Improving the Quality of Recommendations for Users and Items in the Tail of Distribution." ACM Transactions on Information Systems (TOIS) 35, no. 3 (2017): 25. [pdf]
Hu, Liang, Longbing Cao, Jian Cao, Zhiping Gu, Guandong Xu, and Dingyu Yang. "Learning Informative Priors from Heterogeneous Domains to Improve Recommendation in Cold-Start User Domains." ACM Transactions on Information Systems (TOIS) 35, no. 2 (2016): 13. [pdf]
Yang, Dingyu, Jianmei Guo, Zhi-Jie Wang, Yuan Wang, Jingsong Zhang, Liang Hu, Jian Yin, and Jian Cao. "Fastpm: An approach to pattern matching via distributed stream processing." Information Sciences 453 (2018): 263-280. [pdf]
Cao, Jian, Wenxing Xu, Liang Hu, Jie Wang, and Minglu Li. "A social-aware service recommendation approach for mashup creation." International Journal of Web Services Research (IJWSR) 10, no. 1 (2013): 53-72. [pdf]
Qi Zhang, Longbing Cao, Chongyang Shi, Liang Hu: Tripartite Collaborative Filtering with Observability and Selection for Debiasing Rating Estimation on Missing-Not-at-Random Data. AAAI 2021: 4671-4678
Shoujin Wang, Liang Hu, Yan Wang, Xiangnan He, Quan Z. Sheng, Mehmet A. Orgun, Longbing Cao, Francesco Ricci, Philip S. Yu: Graph Learning based Recommender Systems: A Review. IJCAI 2021: 4644-4652
Songlei Jian, Liang Hu, Longbing Cao, Kai Lu: Representation Learning with Multiple Lipschitz-Constrained Alignments on Partially-Labeled Cross-Domain Data. AAAI 2020: 4320-4327
Shoujin Wang, Liang Hu, Yan Wang, Quan Z. Sheng, Mehmet A. Orgun, Longbing Cao: Intention Nets: Psychology-Inspired User Choice Behavior Modeling for Next-Basket Prediction. AAAI 2020: 6259-6266
Shoujin Wang, Liang Hu, Yan Wang, Quan Z. Sheng, Mehmet A. Orgun, Longbing Cao: Intention2Basket: A Neural Intention-driven Approach for Dynamic Next-basket Planning. IJCAI 2020: 2333-2339
Hu, Liang, Songlei Jian, Zhiping Gu, Longbing Cao, Qingkui Chen, "HERS: Modeling Influential Contexts with Heterogeneous Relations for Sparse and Cold-start Recommendation," AAAI-19, 2019.
Jian, S., Hu, Liang, Cao, Longbing, Lu, Kai, and Gao, Hang. "Evolutionarily Learning Multi-aspect Interactions and Influences from Network Structure and Node Content," AAAI-19, 2019.
Hu, Liang, Songlei Jian, Longbing Cao, and Qingkui Chen. "Interpretable Recommendation via Attraction Modeling: Learning Multilevel Attractiveness over Multimodal Movie Contents." , IJCAI 2018 [pdf]
Jian, Songlei, Liang Hu, Longbing Cao, and Kai Lu. "Metric-based Auto-Instructor for Learning Mixed Data Representation." AAAI, 2018. [pdf]
Wang, Shoujin, Liang Hu, Longbing Cao, Xiaoshui Huang, Defu Lian, and Wei Liu. "Attention-based transactional context embedding for next-item recommendation." AAAI, 2018. [pdf]
Wang, Shoujin, Liang Hu, and Longbing Cao. "Perceiving the Next Choice with Comprehensive Transaction Embeddings for Online Recommendation." In Joint European Conference on Machine Learning and Knowledge Discovery in Databases, pp. 285-302. Springer, Cham, 2017. [pdf]
Hu, Liang, Longbing Cao, Shoujin Wang, Guandong Xu, Jian Cao, and Zhiping Gu. "Diversifying personalized recommendation with user-session context." In Proceedings of the 26th International Joint Conference on Artificial Intelligence, pp. 1858-1864. AAAI Press, 2017. [pdf]
Chen, Qianqian, Liang Hu, Jia Xu, Wei Liu, and Longbing Cao. "Document similarity analysis via involving both explicit and implicit semantic couplings." In Data Science and Advanced Analytics (DSAA), 2015. 36678 2015. IEEE International Conference on, pp. 1-10. IEEE, 2015. [pdf]
Cao, Wei, Liang Hu, and Longbing Cao. "Deep Modeling Complex Couplings within Financial Markets." In AAAI, pp. 2518-2524. 2015. [pdf]
Hu, Liang, Wei Cao, Jian Cao, Guandong Xu, Longbing Cao, and Zhiping Gu. "Bayesian heteroskedastic choice modeling on non-identically distributed linkages." In Data Mining (ICDM), 2014 IEEE International Conference on, pp. 851-856. IEEE, 2014. [pdf]
Hu, Liang, Jian Cao, Guandong Xu, Longbing Cao, Zhiping Gu, and Wei Cao. "Deep Modeling of Group Preferences for Group-Based Recommendation." In AAAI, vol. 14, pp. 1861-1867. 2014. [pdf]
You, Yue, Guangyan Huang, Jian Cao, Enhong Chen, Jing He, Yanchun Zhang, and Liang Hu. "GEAM: A general and event-related aspects model for twitter event detection." In International Conference on Web Information Systems Engineering, pp. 319-332. Springer, Berlin, Heidelberg, 2013. [pdf]
Hu, Liang, Jian Cao, Guandong Xu, Jie Wang, Zhiping Gu, and Longbing Cao. "Cross-domain collaborative filtering via bilinear multilevel analysis." In International Joint Conference on Artificial Intelligence, 2013. [pdf]
Hu, Liang, Jian Cao, Guandong Xu, Longbing Cao, Zhiping Gu, and Can Zhu. "Personalized recommendation via cross-domain triadic factorization." In Proceedings of the 22nd international conference on World Wide Web, pp. 595-606. ACM, 2013. [pdf]
Hu, Liang, Jian Cao, and Zhiping Gu. "Service Discovery and Recommendation in Rough Hierarchical Granular Computing." In Services Computing Conference (APSCC), 2010 IEEE Asia-Pacific, pp. 191-198. IEEE, 2010. [pdf]