Hierarchical Gating Networks for Sequential Recommendation C Ma, P Kang, X Liu Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019 | 289 | 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 | 214 | 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 | 148 | 2020 |
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 | 141 | 2018 |
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 | 138 | 2019 |
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 | 68 | 2019 |
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 | 60* | 2022 |
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 | 54 | 2022 |
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 | 53 | 2017 |
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 | 51 | 2020 |
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 | 40 | 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 | 38 | 2022 |
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 | 34 | 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 | 32 | 2022 |
Feature Statistics Guided Efficient Filter Pruning H Li, C Ma, W Xu, X Liu The 29th International Joint Conference on Artificial Intelligence, 2020 | 28 | 2020 |
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 | 23 | 2021 |
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 | 22 | 2023 |
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 | 20 | 2023 |
Sim2rec: A simulator-based decision-making approach to optimize real-world long-term user engagement in sequential recommender systems XH Chen, B He, Y Yu, Q Li, Z Qin, W Shang, J Ye, C Ma 2023 IEEE 39th International Conference on Data Engineering (ICDE), 3389-3402, 2023 | 13 | 2023 |
Knowledge-graph-enabled biomedical entity linking: a survey J Shi, Z Yuan, W Guo, C Ma, J Chen, M Zhang World Wide Web 26 (5), 2593-2622, 2023 | 10 | 2023 |