I’m currently a Ph.D. student at Department of Computer Science and Engineering (CSE), The Chinese University of Hong Kong (CUHK), supervised by Prof. Pheng-Ann Heng. Previously, I gained valuable experience as a research intern at Alibaba Group and Tencent. I have also had the privilege of collaborating closely with Prof. Xiaojiang Peng, Dr. Xiao Luo, and Prof. Yefeng Zheng.

My research interests lie at the intersection of artificial Intelligence (AI) and its applications in the scientific domain, with an emphasis on:

  • Foundation Models: Post-training and mechanistic understanding of Large Language Models (LLMs) and Large Multimodal Models (LMMs).
  • AI for Science: Development and application of scientific foundation models, particularly in healthcare, life science, and cognitive science.

Email: fzhang@link.cuhk.edu.hk     Wechat: ZF_Karl

Please feel free to contact me for communication and collaboration.

News

  • 2025.05: Two survey papers about foundation models for biology and healthcare are accepted by ACL 2025 (1 main paper and 1 findings).
  • 2025.04: I start my internship at Tongyi Lab, Alibaba Group.
  • 2024.12: One paper about multimodal representation learning is accepted by AAAI 2025.
  • 2024.09: One paper about AI for Biology is accepted by NeurIPS 2024.
  • 2024.08: I start my internship at Tencent YouTu Lab.
  • 2024.06: One paper about multimodal representation learning is accepted by TPAMI 2024.
  • 2024.05: One paper about trustworthy information retrieval is accepted by TIP 2024.
  • 2024.03: One paper about multimodal representation learning is accepted by NAACL 2024.
  • 2024.02: One paper about multimodal representation learning is accepted by CVPR 2024.

Selected Publications

For full publications, please refer to my Google Scholar.

ACL 2025
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A Survey on Foundation Language Models for Single-cell Biology

Fan Zhang, Hao Chen, Zhihong Zhu, Ziheng Zhang, Zhenxi Lin, Ziyue Qiao, Yefeng Zheng, Xian Wu

Annual Meeting of the Association for Computational Linguistics (ACL), 2025

(CCF Rank A)


AAAI 2025
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DREAM: Decoupled Discriminative Learning with Bigraph-aware Alignment for Semi-supervised 2D-3D Cross-modal Retrieval

Fan Zhang, Changhu Wang, Zebang Cheng, Xiaojiang Peng, Dongjie Wang, Yijia Xiao, Chong Chen, Xian-Sheng Hua, Xiao Luo

Annual AAAI Conference on Artificial Intelligence (AAAI), 2025

(CCF Rank A)


NeurIPS 2024
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Semi-supervised Knowledge Transfer Across Multi-omic Single-cell Data

Fan Zhang, Tianyu Liu, Zihao Chen, Xiaojiang Peng, Chong Chen, Xian-Sheng Hua, Xiao Luo, Hongyu Zhao

Annual Conference on Neural Information Processing Systems (NeurIPS), 2024

(CCF Rank A)


TPAMI 2024
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HOPE: A Hierarchical Perspective for Semi-supervised 2D-3D Cross-Modal Retrieval

Fan Zhang, Hang Zhou, Xian-Sheng Hua, Chong Chen, Xiao Luo

IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024

(CCF Rank A, JCR Q1, IF=23.6)


TIP 2024
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FATE: Learning Effective Binary Descriptors with Group Fairness

Fan Zhang, Chong Chen, Xian-Sheng Hua, Xiao Luo

IEEE Transactions on Image Processing (TIP), 2024

(CCF Rank A, JCR Q1, IF=10.6)


NAACL 2024
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DEMO: A Statistical Perspective for Efficient Image-Text Matching

Fan Zhang, Xian-Sheng Hua, Chong Chen, Xiao Luo

North American Chapter of the Association for Computational Linguistics (NAACL), 2024

(CCF Rank B)


CVPR 2024
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Fine-grained Prototypical Voting with Heterogeneous Mixup for Semi-supervised 2D-3D Cross-modal Retrieval

Fan Zhang, Xian-Sheng Hua, Chong Chen, Xiao Luo

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024

(CCF Rank A)

Experience

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Alibaba Group, Hangzhou, China

Research Intern @ Tongyi Lab

2025.04 - 2025.07

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Tencent, Shenzhen, China

Research Intern @ YouTu Lab

2024.08 - 2025.04

Academic Services

Conference Reviewer / PC Member

  • ICML, ICLR, NeurIPS, ICCV, KDD, AAAI, CIKM, ACM MM, ACL ARR

Journal Reviewer

  • IEEE TNNLS, IEEE TMM, PLOS ONE