I am currently a postdoctoral researcher working with Prof. Philip S. Yu at University of Illinois Chicago. Previously, I was a postdoctoral associate at Cornell University and The Chinese University of Hong Kong.
I received my Ph.D. degree in Computer Science and Engineering from The Chinese University of Hong Kong in 2023, supervised by 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 Data Mining for Information Retrieval and Knowledge Fusion, including the recent following topics:
- Graph-text fusion. e.g., graph language models, text-attributed graphs.
- LLM problems, e.g., personalized LLM, retrieval-augmented generation.
I also work on problems including:
- Information retrieval applications, e.g., search and recommender systems.
- Large-scale graph data mining and learning problems, e.g., graph neural networks, knowledge graph, self-supervised graph learning.
- Efficient information retrieval problems, e.g., low-bit quantization, learning to hash.
Feel free to contact me if you are seeking any form of collaboration.
Recent Research Highlight
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Learning Binarized Representations with Pseudo-positive Sample Enhancement for Efficient Graph Collaborative Filtering
Yankai Chen, Yue Que, Xinni Zhang, Chen Ma, Irwin King
Transactions on Information Systems (TOIS), 2025
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Testnuc: Enhancing test-time computing approaches through neighboring unlabeled data consistency
Henry Peng Zou, Zhengyao Gu, Yue Zhou, Yankai Chen, Weizhi Zhang, Liancheng Fang, Yibo Wang, Yangning Li, Kay Liu, Philip S Yu
The 63rd Annual Meeting of the Association for Computational Linguistics (ACL), 2025
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UTCS: Efficient Unsupervised Temporal Community Search with Pre-training of Temporal Dynamics and Subgraph Knowledge
Yue Zhang, Yankai Chen, Yingli Zhou, Yucan Guo, Xiaolin Han, Chenhao Ma
The 48th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2025
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Rank Gap Sensitive Deep AUC Maximization for CTR Prediction
Fangyuan Luo, Yankai Chen, Jun Wu, Yidong Li
Pattern Recognition, 2025
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Semi-supervised Node Importance Estimation with Informative Distribution Modeling for Uncertainty Regularization
Yankai Chen, Taotao Wang, Yixiang Fang, Yunyu Xiao
The ACM Web Conference (WWW), 2025
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