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.
Recent Research Highlight
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Multi-Agent Autonomous Driving Systems with Large Language Models: A Survey of Recent Advances, Resources, and Future Directions
Yaozu Wu, Dongyuan Li, Yankai Chen#, Renhe Jiang, Henry Peng Zou, Wei-Chieh Huang, Yangning Li, Liancheng Fang, Zhen Wang, and Philip S. Yu
Findings of the Association for Computational Linguistics: EMNLP (EMNLP Findings), 2025 -
Teaching According to Talents! Instruction Tuning LLMs with Competence-Aware Curriculum Learning
Yangning Li, Tingwei Lu, Yinghui Li, Yankai Chen, Wei-Chieh Huang, Wenhao Jiang, Hui Wang, Hai-Tao Zheng, and Philip S. Yu
Findings of the Association for Computational Linguistics: EMNLP (EMNLP Findings), 2025 -
A Survey of RAG-Reasoning Systems in Large Language Models
Yangning Li, Weizhi Zhang, Yuyao Yang, Wei-Chieh Huang, Yaozu Wu, Junyu Luo, Yuanchen Bei, Henry Peng Zou, Xiao Luo, Yusheng Zhao, Chunkit Chan, Yankai Chen, Zhongfen Deng, Yinghui Li, Hai-Tao Zheng, Dongyuan Li, Renhe Jiang, Ming Zhang, Yangqiu Song, Philip S. Yu
Findings of the Association for Computational Linguistics: EMNLP (EMNLP Findings), 2025 -
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 -
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