Yihang Wang 🚀

Yihang Wang

MEng Artificial Intelligence

UCAS

Professional Summary

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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Education

M.Eng Artificial Intelligence

University of Chinese Academy of Sciences

B.Eng Artificial Intelligence

Beijing University of Posts and Telecommunications

Interests

Artificial Intelligence Natural Language Processing Representation Learning
📚 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! 😃

Featured Publications
QUITO-X: A New Perspective on Context Compression from the Information Bottleneck Theory featured image

QUITO-X: A New Perspective on Context Compression from the Information Bottleneck Theory

Generative LLM have achieved remarkable success in various industrial applications, owing to their promising In-Context Learning capabilities. However, the issue of long context in …

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MDPO: Customized Direct Preference Optimization with a Metric-based Sampler for Question and Answer Generation featured image

MDPO: Customized Direct Preference Optimization with a Metric-based Sampler for Question and Answer Generation

With the extensive use of large language models, automatically generating QA datasets for domain-specific fine-tuning has become crucial. However, considering the multifaceted …

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Recent Publications
Yihang Wang, Xu Huang, Bowen Tian, Yueyang Su, Lei Yu, Humming Liao, Yixing Fan, Jiafeng Guo, Xueqi Cheng (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).
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Bin Wu, Yihang Wang, Yuanhao Zeng, Jiawei Liu, Jiashu Zhao, Cheng Yang, Yawen Li, Long Xia, Dawei Yin, Chuan Shi (2025). Graph Foundation Models for Recommendation: A Comprehensive Survey. arXiv preprint arXiv:2502.08346.
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Yihang Wang, Bowen Tian, Yueyang Su, Yixing Fan, Jiafeng Guo (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).
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Wenshan Wang, Yihang Wang, Yixing Fan, Huaming Liao, Jiafeng Guo (2024). QUITO: Accelerating Long-Context Reasoning through Query-Guided Context Compression. The 30th China Conference on Information Retrieval (CCIR 2024).
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Li Gu, Tao Ai, Qing Ye, Yihang Wang, Han Wang, Dong Xu (2024). Development and validation of a clinical-radiomics nomogram for the early prediction of Klebsiella pneumoniae liver abscess. Annals of Medicine.
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Recent News

🎉 Two Papers Accepted to ACL 2026 Main Conference!

Our two papers, “Detoxification for LLM: From Dataset Itself” and “Distilling Large Embeddings via Hyperspherical Householder Quantization,” have been accepted to the ACL 2026 Main Conference! 🎉