| Effective and efficient attributed community search Y Fang, R Cheng, Y Chen, S Luo, J Hu The VLDB Journal 26, 803-828, 2017 | 114 | 2017 |
| Modeling Scale-free Graphs with Hyperbolic Geometry for Knowledge-aware Recommendation Y Chen, M Yang, Y Zhang, M Zhao, Z Meng, J Hao, I King International Conference on Web Search and Data Mining (WSDM'22), 94-102, 2022 | 90 | 2022 |
| Attentive Knowledge-aware Graph Convolutional Networks with Collaborative Guidance for Personalized Recommendation Y Chen, Y Yang, Y Wang, J Bai, X Song, I King IEEE International Conference on Data Engineering (ICDE'22), 299-311, 2022 | 78 | 2022 |
| Exploring Communities in Large Profiled Graphs Y Chen, Y Fang, R Cheng, Y Li, X Chen, J Zhang IEEE Transactions on Knowledge and Data Engineering (TKDE), 2019 | 41 | 2019 |
| 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 SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'22), 168-178, 2022 | 38 | 2022 |
| Efficient community search over large directed graphs: An augmented index-based approach Y Chen, J Zhang, Y Fang, X Cao, I King International Joint Conferences on Artificial Intelligence (IJCAI'20), 3544-3550, 2021 | 33 | 2021 |
| Hyperbolic Representation Learning: Revisiting and Advancing M Yang, M Zhou, R Ying, Y Chen, I King International Conference on Machine Learning (ICML'23) 202, 39639--39659, 2023 | 32 | 2023 |
| Bipartite Graph Convolutional Hashing for Effective and Efficient Top-N Search in Hamming Space Y Chen, Y Fang, Y Zhang, I King Web Conference 2023 (WWW'23), 3164-3172, 2023 | 28 | 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 SIGIR Conference on Research and Development in Information Retrieval (SIGIR'23), 2023 | 24 | 2023 |
| Mitigating the Popularity Bias of Graph Collaborative Filtering: A Dimensional Collapse Perspective Y Zhang, H Zhu, Y Chen, Z Song, P Koniusz, I King Advances in Neural Information Processing Systems (NeurIPS'23) 36, 2024 | 23 | 2024 |
| Contrastive Cross-scale Graph Knowledge Synergy Y Zhang, Y Chen, Z Song, I King SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'23), 3422-3433, 2023 | 22 | 2023 |
| Knowledge-aware neural networks with personalized feature referencing for cold-start recommendation X Zhang, Y Chen, C Gao, Q Liao, S Zhao, I King arXiv preprint arXiv:2209.13973, 2022 | 17 | 2022 |
| A Survey on Deep Active Learning: Recent Advances and New Frontiers D Li, Z Wang, Y Chen, R Jiang, W Ding, M Okumura IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2024 | 14 | 2024 |
| A survey on graph embedding techniques for biomedical data: Methods and applications Y Wu, Y Chen, Z Yin, W Ding, I King Information Fusion 100, 101909, 2023 | 14 | 2023 |
| Topological representation learning for e-commerce shopping behaviors Y Chen, T Truong, X Shen, M Wang, J Li, J Chan, I King Workshop on Mining and Learning with Graphs at The 29th SIGKDD Conference on …, 2023 | 11 | 2023 |
| An Effective Post-training Embedding Binarization Approach for Fast Online Top-K Passage Matching Y Chen, Y Zhang, H Guo, R Tang, I King Asia-Pacific Chapter of the Association for Computational Linguistics (AACL …, 2022 | 11 | 2022 |
| Influential Exemplar Replay for Incremental Learning in Recommender Systems X Zhang, Y Chen, C Ma, Y Fang, I King AAAI Conference on Artificial Intelligence (AAAI'24) 38 (8), 9368-9376, 2024 | 8 | 2024 |
| Deep Structural Knowledge Exploitation and Synergy for Estimating Node Importance Value on Heterogeneous Information Networks Y Chen, Y Fang, Q Wang, X Cao, I King AAAI Conference on Artificial Intelligence (AAAI'24) 38 (8), 8302-8310, 2024 | 7 | 2024 |
| A Literature Review of Recent Graph Embedding Techniques for Biomedical Data Y Chen, Y Wu, S Ma, I King International Conference on Neural Information Processing (ICONIP'20), 21-29, 2020 | 7 | 2020 |
| Geometric View of Soft Decorrelation in Self-Supervised Learning Y Zhang, H Zhu, Z Song, Y Chen, X Fu, Z Meng, P Koniusz, I King SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'24), 4338-4349, 2024 | 5 | 2024 |
Irwin KingThe Chinese University of Hong KongПідтверджена електронна адреса в cse.cuhk.edu.hk
