| 2024 | WSDM | LLMRec: Large Language Models with Graph Augmentation for Recommendation. | Wei Wei, Xubin Ren, Jiabin Tang, Qinyong Wang, Lixin Su, Suqi Cheng, Junfeng Wang, Dawei Yin, Chao Huang |
| 2022 | AMIA | AANet: Attentive All-level Fusion Deep Neural Network Approach for Multi-modality Early Alzheimer's Disease Diagnosis. | Qinyong Wang, Rong Xu |
| 2022 | SIGIR | On-Device Next-Item Recommendation with Self-Supervised Knowledge Distillation. | Xin Xia, Hongzhi Yin, Junliang Yu, Qinyong Wang, Guandong Xu, Quoc Viet Hung Nguyen |
| 2021 | AAAI | Self-Supervised Hypergraph Convolutional Networks for Session-based Recommendation. | Xin Xia, Hongzhi Yin, Junliang Yu, Qinyong Wang, Lizhen Cui, Xiangliang Zhang |
| 2021 | WWW | Self-Supervised Multi-Channel Hypergraph Convolutional Network for Social Recommendation. | Junliang Yu, Hongzhi Yin, Jundong Li, Qinyong Wang, Nguyen Quoc Viet Hung, Xiangliang Zhang |
| 2020 | AMIA | DenseCNN: A Densely Connected CNN Model for Alzheimer's Disease Classification Based on Hippocampus MRI Data. | Qinyong Wang, Chunlei Zheng, Rong Xu |
| 2020 | ICDE | Group Recommendation with Latent Voting Mechanism. | Lei Guo, Hongzhi Yin, Qinyong Wang, Bin Cui, Zi Huang, Lizhen Cui |
| 2020 | WWW | Next Point-of-Interest Recommendation on Resource-Constrained Mobile Devices. | Qinyong Wang, Hongzhi Yin, Tong Chen, Zi Huang, Hao Wang, Yanchang Zhao, Nguyen Quoc Viet Hung |
| 2019 | DASFAA | Multi-hop Path Queries over Knowledge Graphs with Neural Memory Networks. | Qinyong Wang, Hongzhi Yin, Weiqing Wang, Zi Huang, Guibing Guo, Quoc Viet Hung Nguyen |
| 2019 | ICDE | Social Influence-Based Group Representation Learning for Group Recommendation. | Hongzhi Yin, Qinyong Wang, Kai Zheng, Zhixu Li, Jiali Yang, Xiaofang Zhou |
| 2019 | ICDM | Generating Reliable Friends via Adversarial Training to Improve Social Recommendation. | Junliang Yu, Min Gao, Hongzhi Yin, Jundong Li, Chongming Gao, Qinyong Wang |
| 2019 | IJCAI | Inferring Substitutable Products with Deep Network Embedding. | Shijie Zhang, Hongzhi Yin, Qinyong Wang, Tong Chen, Hongxu Chen, Quoc Viet Hung Nguyen |
| 2019 | KDD | Streaming Session-based Recommendation. | Lei Guo, Hongzhi Yin, Qinyong Wang, Tong Chen, Alexander Zhou, Nguyen Quoc Viet Hung |
| 2019 | KDD | Enhancing Collaborative Filtering with Generative Augmentation. | Qinyong Wang, Hongzhi Yin, Hao Wang, Quoc Viet Hung Nguyen, Zi Huang, Lizhen Cui |
| 2018 | ADC | TSAUB: A Temporal-Sentiment-Aware User Behavior Model for Personalized Recommendation. | Qinyong Wang, Hongzhi Yin, Hao Wang, Zi Huang |
| 2018 | KDD | Neural Memory Streaming Recommender Networks with Adversarial Training. | Qinyong Wang, Hongzhi Yin, Zhiting Hu, Defu Lian, Hao Wang, Zi Huang |
| 2018 | SIGIR | Streaming Ranking Based Recommender Systems. | Weiqing Wang, Hongzhi Yin, Zi Huang, Qinyong Wang, Xingzhong Du, Quoc Viet Hung Nguyen |
| 2017 | APWEB | A Time and Sentiment Unification Model for Personalized Recommendation. | Qinyong Wang, Hongzhi Yin, Hao Wang |
| 2017 | CSCWD | PeopleVis: A visual analysis system for mining travel behavior. | Xue Zhang, Qinyong Wang |
| 2017 | KDD | A Location-Sentiment-Aware Recommender System for Both Home-Town and Out-of-Town Users. | Hao Wang, Yanmei Fu, Qinyong Wang, Hongzhi Yin, Changying Du, Hui Xiong |
| 2016 | CSCWD | Timing-IdeaGraph: A directed cognition graph approach for decision making based on temporal event sequences. | Hao Wang, Siyu Lu, Chen Zhang, Qinyong Wang, Fanjiang Xu |
| 2014 | ICDM | A Parallel Implementation of Idea Graph to Extract Rare Chances from Big Data. | Qinyong Wang, Hao Wang, Chen Zhang, Wei Wang, Zhe Chen, Fanjiang Xu |