I am a PhD candidate at School of Software and Microelectronics, Peking University (北京大学-软件与微电子学院). My research interest includes Large Language Models and Language Agents.

I graduated from the University of Chinese Academy of Sciences (中国科学院大学) with a Master’s degree in Computer Technology, advised by Yunpeng Cai.

As the first or co-first author, I have published four articles in top-tier journals or JCR Q1-ranked journals with total . I have also presented a conference paper and published an invention patent.

I’m excited about the recent advances in language agents and am dedicated to exploring the boundaries of their capabilities. If you are interested in academic collaboration or discussion, please do not hesitate to drop me an email.

🔥 News

• 2025.02:  🎉🎉 My paper A Transferability-guided Protein-ligand Interaction Prediction Method is accepted by Methods.
• 2025.01:  🎉🎉 I have been admitted as a PhD student to the School of Software and Microelectronics, Peking University .

📖 Educations

• 2025.09 -: PhD Candidate, School of Software and Microelectronics, Peking University .
• 2021.09 - 2024.06: Master, Shenzhen Institutes of Advanced Technology (SIAT), University of Chinese Academy of Sciences .
• 2017.07 - 2021.06: Bachelor, College of Electronics and Information Engineering, Shenzhen University .

📝 Publications

Advanced Science

A Multimodal Protein Representation Framework for Quantifying Transferability Across Biochemical Downstream Tasks

Fan Hu¹, Yishen Hu¹, Weihong Zhang¹, Huazhen Huang, Yi Pan, and Peng Yin

¹: These authors contributed equally to this work (the same hereafter).

Project |

• A SOTA multimodal deep learning framework for incorporating ≈1 million protein sequence, structure, and functional annotation (MASSA).
• Academic Impact: This work is promoted by DrugAI.

IEEE JBHI

A Transferability-Based Method for Evaluating the Protein Representation Learning

Fan Hu¹, Weihong Zhang¹, Huazhen Huang, Wang Li, Yang Li, Peng Yin

Project |

• A novel quantitative approach for estimating the performance of transferring multi-task pre-trained protein representations to downstream tasks.

Methods

Does Protein Pretrained Language Model Facilitate the Prediction of Protein–ligand Interaction?

Weihong Zhang, Fan Hu, Wang Li, Peng Yin

Project |

• An approach that quantitatively evaluates the impact of protein pretrained language model (PLM) in protein–ligand interaction (PLI) predictions, which allows us to select the optimal PLM for a given downstream task without exhaustively testing each PLM, thus avoiding the costly computational expense. The mechanisms underlying the influence of protein PLMs on PLI tasks are explored.

Methods

A Transferability-guided Protein-ligand Interaction Prediction Method

Weihong Zhang, Fan Hu, Peng Yin, Yunpeng Cai

Project |

• A novel transferability-guided PLI prediction method that maximizes knowledge transfer by deeply integrating protein and ligand representations through a cross-attention mechanism and incorporating transferability metrics to guide fine-tuning.

• ISBRA 2024 A Transferability-guided Protein-ligand Interaction Prediction Method
  Weihong Zhang, Fan Hu, Peng Yin, Yunpeng Cai
  The 20th International Symposium on Bioinformatics Research and Application, 2024 (CCF-C)
  Page PDF Code

• Invention Pattern An Evaluation Method and System for Protein Representation Learning Based on Quantitative Transferability (一种基于可迁移性定量的蛋白质表示学习评估方法及系统)
  Fan Hu, Weihong Zhang, Peng Yin
  China Invention Pattern, CN117637034A, 2024
  Page

🗣 Conferences

• 2024.07: The 20th International Symposium on Bioinformatics Research and Application (ISBRA 2024), Oral, Kunming, China.

💻 Internships

• 2024.07 - 2025.08: AI Engineer, Huawei Technologies Co., Ltd., Shanghai, China.
• 2021.06 - 2021.08: Research Intern, SIAT, Chinese Academy of Sciences, Shenzhen, China.

🎖 Honors and Awards

• 2024.07: Merit Student of University of Chinese Academy of Sciences.
• 2024.04: Outstanding Communist Youth League Member of Chinese Academy of Sciences (Guangzhou).
• 2024.01: SIAT President’s Scholarship - Excellence Award.
• 2023.02: Outstanding Student at the BIT Center, SIAT, Chinese Academy of Sciences.
• 2021.06: Outstanding Graduate of the School of Electronic and Information Engineering, Shenzhen University.
• 2020.12: Shenzhen University Academic Star Scholarship.
• 2020.10: National Endeavor Scholarship.
• 2020.07: Outstanding Communist Youth League Member of Shenzhen University.
• 2019.12: Shenzhen University Public Service Star Scholarship.
• 2019.06: Outstanding Volunteer Officer of Shenzhen University.
• 2018.12: Shenzhen University Public Service Star Scholarship.
• 2018.10: National Endeavor Scholarship.