I am a postdoctoral researcher working with Prof. Philip S. Yu at UIC. I was a postdoctoral associate at Cornell University, adviced by Prof. Chang Su and Prof. Yunyu Xiao.
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 Artificial Intelligence and Data Mining for Information Retrieval and Adaptation, including the recent following topics:
- Agentic AI problems, e.g., Human-agent collaboration.
- LLM problems, e.g., personalized LLM, retrieval-augmented generation.
- AI for scientific problems, e.g., molecular representation learning, drug target affinity prediction.
I used to work on problems including:
- Large-scale graph data mining and learning problems, e.g., community retrieval, graph neural networks, self-supervised graph learning.
- Information retrieval optimization problems, e.g., knowledge graph, low-bit quantization, learning to hash.
- Information retrieval applications, e.g., Search and recommender systems.
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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