Yankai Chen
Orcid: 0000-0001-5741-2047Affiliations:
- Chinese University of Hong Kong, Hong Kong
According to our database1,
Yankai Chen
authored at least 23 papers
between 2017 and 2024.
Collaborative distances:
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Bibliography
2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
HiHPQ: Hierarchical Hyperbolic Product Quantization for Unsupervised Image Retrieval.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
Deep Structural Knowledge Exploitation and Synergy for Estimating Node Importance Value on Heterogeneous Information Networks.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
A survey on graph embedding techniques for biomedical data: Methods and applications.
Inf. Fusion, December, 2023
CoRR, 2023
Bipartite Graph Convolutional Hashing for Effective and Efficient Top-N Search in Hamming Space.
Proceedings of the ACM Web Conference 2023, 2023
WSFE: Wasserstein Sub-graph Feature Encoder for Effective User Segmentation in Collaborative Filtering.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023
Mitigating the Popularity Bias of Graph Collaborative Filtering: A Dimensional Collapse Perspective.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Proceedings of the International Conference on Machine Learning, 2023
2022
Knowledge-aware Neural Networks with Personalized Feature Referencing for Cold-start Recommendation.
CoRR, 2022
Modeling Scale-free Graphs with Hyperbolic Geometry for Knowledge-aware Recommendation.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022
Learning Binarized Graph Representations with Multi-faceted Quantization Reinforcement for Top-K Recommendation.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
An Effective Post-training Embedding Binarization Approach for Fast Online Top-K Passage Matching.
Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, 2022
Attentive Knowledge-aware Graph Convolutional Networks with Collaborative Guidance for Personalized Recommendation.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022
2021
Towards Low-loss 1-bit Quantization of User-item Representations for Top-K Recommendation.
CoRR, 2021
Attentive Knowledge-aware Graph Convolutional Networks with Collaborative Guidance for Recommendation.
CoRR, 2021
2020
Efficient Community Search over Large Directed Graph: An Augmented Index-based Approach.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020
Proceedings of the Neural Information Processing - 27th International Conference, 2020
2019
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019
2017