何理扬

何理扬

中国科学技术大学（USTC）

About Me

I’m a third-year PhD candidate in School of Computer Science and Technology, University of Science and Technology of China (USTC), and a member of the State Key Laboratory of Cognitive Intelligence, supervised by Prof. Enhong Chen (http://staff.ustc.edu.cn/~cheneh/). My research focuses on information retrieval, efficient representation learning, and retrieval-augmented generation. In recent years, I have published/accepted more than 20 papers in important international academic journals and conferences in the fields of data mining, natural language processing, and artificial intelligence such as TOIS, KDD, WWW, ACL, EMNLP, AAAI, ACMMM, etc. I have applied for/authorized 5 national invention patents. I have received honors such as National Scholarship for Doctoral Students and Yang Yuanqing Scholarship.

Research Interests:

  • Information Retrieval
  • Efficient Representation Learning
  • Retrieval Augmented Generation

Educations

Recent Publications

  • Liyang He, Chenglong Liu, Rui Li, et al. “Refining Sentence Embedding Model through Ranking Sentences Generation with Large Language Models.” ACL 2025.
  • Rui Li, Liyang He, Qi Liu, et al. “UniRAG: Unified Query Understanding Method for Retrieval Augmented Generation.” ACL 2025.
  • Heng Yu, Junfeng Kang, Rui Li, Qi Liu, Liyang He, et al. “CA-GAR: Context-Aware Alignment of LLM Generation for Document Retrieval.” ACL 2025.
  • Rui Li, Junfeng Kang, Qi Liu, Liyang He, et al. “MGS3: A Multi-Granularity Self-Supervised Code Search Framework.” KDD 2025.
  • Liyang He*, Rui Li*, et al. “A Simple yet Effective Retrieval-Augmented Generation Framework for the Meta KDD Cup 2024.” KDD 2024 Workshop.
  • Rui Li, Qi Liu, Liyang He, et al. “Optimizing Code Retrieval: High-Quality and Scalable Dataset Annotation through Large Language Models.” EMNLP 2024.
  • Liyang He, Zhenya Huang, Chenlong Liu, et al. “One-bit Deep Hashing: Towards Resource-Efficient Hashing Model with Binary Neural Network.” ACM MM 2024.
  • Liyang He, Zhenya Huang, Jiayu Liu, et al. “Bit-mask Robust Contrastive Knowledge Distillation for Unsupervised Semantic Hashing.” WWW 2024.
  • Rui Li, Liyang He, Qi Liu, et al. “CONSIDER: Commonalities and Specialties Driven Multilingual Code Retrieval Framework.” AAAI 2024.
  • Wei Tong, Liyang He, Rui Li, et al. “Efficient similar exercise retrieval model based on unsupervised semantic hashing.” Journal of Computer Applications 2024.
  • Liyang He, Zhenya Huang, Enhong Chen, et al. “An efficient and robust semantic hashing framework for similar text search.” TOIS 2023.

Conferences

  • 2024.11, The 32nd ACM International Conference on Multimedia, Melbourne, Australia. Poster
  • 2024.07, The 30th China Multimedia 2024, Yinchuan, China. Visit
  • 2024.05, The ACM on Web Conference 2024, Singapore, Poster
  • 2023.11, The 29th China Conference on Information Retrieval, CCIR 2023, Beijing, China. Visit
  • 2023.08, The 19th China Conference on Machine Learning, Beijing, China. Oral

Internships

  • 2025.06 - present, Tencent, Shenzhen
  • 2022.08 - 2023.01, National Education Examinations Authority, Beijing
  • 2019.09 - 2020.06, Iflytek Co., Ltd., Anhui, Hefei