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 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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  Embracing Trustworthy Brain-Agent Collaboration as Paradigm Extension for Intelligent Assistive Technologies
  Yankai Chen, Xinni Zhang, Yifei Zhang, Yangning Li, Henry Peng Zou, Chunyu Miao, Weizhi Zhang, Xue Liu, and Philip S. Yu
 In Proceeding of Advances in Neural Information Processing Systems (NeurIPS), 2025 
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  AdmTree: Compressing Lengthy Context with Adaptive Semantic Trees
  Yangning Li, Shaoshen Chen, Yinghui Li, Yankai Chen, Hai-Tao Zheng, Hui Wang, Wenhao Jiang, and Philip S. Yu
 In Proceeding of Advances in Neural Information Processing Systems (NeurIPS), 2025 
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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 
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  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 
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  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 
   
  
    
    
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