| Shoestring: Graph-Based Semi-Supervised Classification With Severely Limited Labeled Data W Lin, Z Gao, B Li Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 49 | 2020 |
| Guardian: Evaluating Trust in Online Social Networks with Graph Convolutional Networks W Lin, Z Gao, B Li IEEE INFOCOM 2020-IEEE Conference on Computer Communications, 914-923, 2020 | 44 | 2020 |
| Mitigating the Filter Bubble while Maintaining Relevance: Targeted Diversification with VAE-based Recommender Systems Z Gao, T Shen, Z Mai, MR Bouadjenek, I Waller, A Anderson, R Bodkin, ... Proceedings of the 45th International ACM SIGIR Conference on Research and …, 2022 | 15 | 2022 |
| Session-based Recommendation with Transformers Y Lu, Z Gao, Z Cheng, J Sun, B Brown, G Yu, A Wong, F Pérez, M Volkovs Proceedings of the Recommender Systems Challenge 2022, 29-33, 2022 | 11 | 2022 |
| MCL: Mixed-Centric Loss for Collaborative Filtering Z Gao, Z Cheng, F Pérez, J Sun, M Volkovs Proceedings of the ACM Web Conference 2022, 2339-2347, 2022 | 7 | 2022 |
| REBEL: Reinforcement Learning via Regressing Relative Rewards Z Gao, JD Chang, W Zhan, O Oertell, G Swamy, K Brantley, T Joachims, ... arXiv preprint arXiv:2404.16767, 2024 | 5 | 2024 |
| Reviewer2: Optimizing Review Generation Through Prompt Generation Z Gao, K Brantley, T Joachims arXiv preprint arXiv:2402.10886, 2024 | 2 | 2024 |
| Distance-based pair loss for collaborative filtering M Volkovs, Z Cheng, JFP Vallejo, J Sun, Z Gao US Patent App. 17/969,238, 2023 | | 2023 |
Baochun LiProfessor of Electrical and Computer Engineering, University of Toronto在 ece.toronto.edu 的电子邮件经过验证
