| Hierarchical Gating Networks for Sequential Recommendation C Ma, P Kang, X Liu Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019 | 346 | 2019 |
| Memory Augmented Graph Neural Networks for Sequential Recommendation C Ma, L Ma, Y Zhang, J Sun, X Liu, M Coates The 34th AAAI Conference on Artificial Intelligence, 2020 | 252 | 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 | 184 | 2020 |
| Multi-Graph Convolution Collaborative Filtering J Sun, Y Zhang, C Ma, M Coates, H Guo, R Tang, X He The 19th IEEE International Conference on Data Mining (IEEE ICDM 2019 short …, 2019 | 167 | 2019 |
| Point-of-Interest Recommendation: Exploiting Self-Attentive Autoencoders with Neighbor-Aware Influence C Ma, Y Zhang, Q Wang, X Liu Proceedings of the 27th ACM International Conference on Information and …, 2018 | 153 | 2018 |
| A Multi-objective Optimization Framework for Multi-stakeholder Fairness-aware Recommendation H Wu, C Ma, B Mitra, F Diaz, X Liu ACM Transactions on Information Systems 41 (2), 1-29, 2022 | 83* | 2022 |
| Gated Attentive-Autoencoder for Content-Aware Recommendation C Ma, P Kang, B Wu, Q Wang, X Liu Proceedings of the Twelfth ACM International Conference on Web Search and …, 2019 | 74 | 2019 |
| Joint multisided exposure fairness for recommendation H Wu, B Mitra, C Ma, F Diaz, X Liu Proceedings of the 45th International ACM SIGIR Conference on Research and …, 2022 | 63 | 2022 |
| Probabilistic Metric Learning with Adaptive Margin for Top-K Recommendation C Ma, L Ma, Y Zhang, R Tang, X Liu, M Coates Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020 | 57 | 2020 |
| Taming the inconsistency of Wi-Fi fingerprints for device-free passive indoor localization X Chen, C Ma, M Allegue, X Liu IEEE INFOCOM 2017-IEEE Conference on Computer Communications, 1-9, 2017 | 57 | 2017 |
| Gradient-based Bi-level Optimization for Deep Learning: A Survey C Chen, X Chen, C Ma, Z Liu, X Liu arXiv preprint arXiv:2207.11719, 2022 | 51 | 2022 |
| SunChase: Energy-efficient route planning for solar-powered EVs L Jiang, Y Hua, C Ma, X Liu 2017 IEEE 37th International Conference on Distributed Computing Systems …, 2017 | 48 | 2017 |
| Knowledge-Enhanced Top-K Recommendation in Poincaré Ball C Ma, L Ma, Y Zhang, H Wu, X Liu, M Coates Proceedings of the AAAI Conference on Artificial Intelligence 35(5), 4285-4293, 2021 | 38 | 2021 |
| Learning binarized graph representations with multi-faceted quantization reinforcement for top-k recommendation Y Chen, H Guo, Y Zhang, C Ma, R Tang, J Li, I King Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 37 | 2022 |
| Dynamically expandable graph convolution for streaming recommendation B He, X He, Y Zhang, R Tang, C Ma Proceedings of the ACM Web Conference 2023, 1457-1467, 2023 | 35 | 2023 |
| Feature Statistics Guided Efficient Filter Pruning H Li, C Ma, W Xu, X Liu The 29th International Joint Conference on Artificial Intelligence, 2020 | 32 | 2020 |
| WSFE: wasserstein sub-graph feature encoder for effective user segmentation in collaborative filtering Y Chen, Y Zhang, M Yang, Z Song, C Ma, I King Proceedings of the 46th International ACM SIGIR Conference on Research and …, 2023 | 25 | 2023 |
| TIE: A Framework for Embedding-based Incremental Temporal Knowledge Graph Completion J Wu, Y Xu, Y Zhang, C Ma, M Coates, JCK Cheung Proceedings of the 44th International ACM SIGIR Conference on Research and …, 2021 | 25 | 2021 |
| Result Diversification in Search and Recommendation: A Survey H Wu, Y Zhang, C Ma, F Lyu, B He, B Mitra, X Liu IEEE Transactions on Knowledge and Data Engineering, 2024 | 20* | 2024 |
| Improving Long-Tail Item Recommendation with Graph Augmentation S Luo, C Ma, Y Xiao, L Song Proceedings of the 32nd ACM International Conference on Information and …, 2023 | 17 | 2023 |
Xue (Steve) LiuFellow CAE&IEEE; Associate VPR@MBZUAI; Prof@McGill; Mila; ex-VP R&D@Samsung AI; Chair ACM SIGBED;在 cs.mcgill.ca 的电子邮件经过验证
