I received my Ph.D. degree in Computer Science and Engineering from The Chinese University of Hong Kong in 2023, supervised by Professor Prof. Irwin King.
Prior to that, I completed my M.S. degree at The University of Hong Kong in 2018, working with Prof. Reynold Cheng, and received my B.S. degree from Nanjing University in 2016, mentored by Prof. Qizhi Liu.
My research interest is machine learning for Information Retrieval, Processing, Generation, and Protection. My recent topics include but are not limited to:
- Graph data mining and learning problems, e.g., Graph-empowered LLMs, GNNs, self-supervised graph learning.
- AI for biological and scientific problems, e.g., retrosynthesis prediction, protein representation learning.
- Data generation problems, e.g., generative models, watermarking techniques.
- Optimization over IR models, e.g., knowledge graph supplementary, quantization.
- AI4DB problems, e.g., ANN search and optimization for vector database, motif prediction.
Feel free to contact me if you are seeking any form of collaboration.
News and Annoucements
Recent Research Highlight
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Deep Structural Knowledge Exploitation and Synergy for Estimating Node Importance Value on Heterogeneous Information Networks
Yankai Chen, Yixiang Fang, Qiongyan Wang, Xin Cao, Irwin King
In Proceeding of AAAI Conference on Artificial Intelligence (AAAI), Vancouver, Canada, 2024.
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Influential Exemplar Replay for Incremental Learning in Recommender Systems
Xinni Zhang, Yankai Chen, Chenhao Ma, Yixiang Fang, Irwin King
In Proceeding of AAAI Conference on Artificial Intelligence (AAAI), Vancouver, Canada, 2024.
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HiHPQ: Hierarchical Hyperbolic Product Quantization for Unsupervised Image Retrieval
Zexuan Qiu, Jiahong Liu, Yankai Chen, Irwin King
In Proceeding of AAAI Conference on Artificial Intelligence (AAAI), Vancouver, Canada, 2024.
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Mitigating the Popularity Bias of Graph Collaborative Filtering: A Dimensional Collapse Perspective
Yifei Zhang, Hao Zhu, Yankai Chen, Zixing Song, Piotr Koniusz, Irwin King
In Proceeding of Advances in Neural Information Processing Systems (NeurIPS) 36, Spotlight, New Orleans, LA, USA, 2023.
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Contrastive Cross-scale Graph Knowledge Synergy
Yifei Zhang, Yankai Chen, Zixing Song, Irwin King
In Proceeding of the 29th SIGKDD Conference on Knowledge Discovery and Data Mining (SIGKDD). Oral Presentation, Long Beach, LA, USA, 2023.
Contact
- Email: yankaichan3@gmail.com; ykchen@cse.cuhk.edu.hk
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