Yihang Wang πŸš€
Yihang Wang

MEng Artificial Intelligence

About Me

I am currently a master’s student at the Institute of Computing Technology, Chinese Academy of Sciences, with a research focus on representation learning and information retrieval. I am passionate about exploring fundamental challenges in Natural Language Processing and related areas. I possess strong self-learning capabilities, solid research and engineering practice experience, effective communication skills, and a positive, collaborative attitude. I have also accumulated rich research experience through participation in multiple academic projects.

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Interests
  • Artificial Intelligence
  • Natural Language Processing
  • Representation Learning
Education
  • M.Eng Artificial Intelligence

    University of Chinese Academy of Sciences

  • B.Eng Artificial Intelligence

    Beijing University of Posts and Telecommunications

πŸ“š My Research

My current research interests focus on representation learning and information retrieval, within the broader area of natural language processing.

I am dedicated to developing innovative methods for building more effective and robust representations, and advancing retrieval techniques to better support real-world applications.

Feel free to reach out if you’re interested in collaboration! πŸ˜ƒ

Featured Publications
Recent Publications
(2025). QUITO-X: A New Perspective on Context Compression from the Information Bottleneck Theory. Findings of the 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP 2025).
(2025). Graph Foundation Models for Recommendation: A Comprehensive Survey. arXiv preprint arXiv:2502.08346.
(2025). MDPO: Customized Direct Preference Optimization with a Metric-based Sampler for Question and Answer Generation. Proceedings of the 31st International Conference on Computational Linguistics (COLING 2025).
(2024). QUITO: Accelerating Long-Context Reasoning through Query-Guided Context Compression. The 30th China Conference on Information Retrieval (CCIR 2024).
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