| Memory augmented graph neural networks for sequential recommendation C Ma, L Ma, Y Zhang, J Sun, X Liu, M Coates Proceedings of the AAAI conference on artificial intelligence 34 (04), 5045-5052, 2020 | 208 | 2020 |
| Neighbor interaction aware graph convolution networks for recommendation J Sun, Y Zhang, W Guo, H Guo, R Tang, X He, C Ma, M Coates Proceedings of the 43rd international ACM SIGIR conference on research and …, 2020 | 144 | 2020 |
| Multi-graph convolution collaborative filtering J Sun, Y Zhang, C Ma, M Coates, H Guo, R Tang, X He 2019 IEEE international conference on data mining (ICDM), 1306-1311, 2019 | 128 | 2019 |
| Hgcf: Hyperbolic graph convolution networks for collaborative filtering J Sun, Z Cheng, S Zuberi, F Pérez, M Volkovs Proceedings of the Web Conference 2021, 593-601, 2021 | 101 | 2021 |
| A framework for recommending accurate and diverse items using bayesian graph convolutional neural networks J Sun, W Guo, D Zhang, Y Zhang, F Regol, Y Hu, H Guo, R Tang, H Yuan, ... Proceedings of the 26th ACM SIGKDD international conference on knowledge …, 2020 | 80 | 2020 |
| FoodTracker: A Real-time Food Detection Mobile Application by Deep Convolutional Neural Networks J Sun, K Radecka, Z Zilic 2019 16th International Conference on Machine Vision Applications (MVA), 2019 | 24 | 2019 |
| Exploring better food detection via transfer learning J Sun, K Radecka, Z Zilic 2019 16th International Conference on Machine Vision Applications (MVA), 1-6, 2019 | 15 | 2019 |
| Session-based Recommendation with Transformers Y Lu, Z Gao, Z Cheng, J Sun, B Brown, G Yu, A Wong, F Pérez, M Volkovs RecSys Challenge 2022, 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 | 5 | 2022 |
| Node copying: A random graph model for effective graph sampling F Regol, S Pal, J Sun, Y Zhang, Y Geng, M Coates Signal Processing 192, 108335, 2022 | 5 | 2022 |
| Multi-graph convolutional neural networks for representation learning in recommendation J Sun, Y Zhang IEEE ICDM, 2019 | 5 | 2019 |
| Recommender system using bayesian graph convolution networks J Sun, Y Zhang, F Robert-régol, M Coates US Patent 11,494,617, 2022 | 3 | 2022 |
| User engagement modeling with deep learning and language models M Volkovs, F Perez, Z Cheng, J Sun, S Norouzi, A Wong, P Jankiewicz, ... Proceedings of the Recommender Systems Challenge 2021, 22-27, 2021 | 3 | 2021 |
| Recommendation with neighbor-aware hyperbolic embedding M Volkovs, Z Cheng, JFP Vallejo, J Sun, S Zuberi US Patent App. 17/674,229, 2022 | 1 | 2022 |
| 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 |
