About Me
Here is Zongying Lin (林宗莹).
I am a M.S. student in Computer Applied Technology at the School of Electronic and Computer Engineering, Peking University (PKU), ranked 3rd in the program. I am supervised by Prof. Li Yuan (Assistant Professor) and Prof. Yonghong Tian. Previously, I received dual Bachelor’s degrees in Software Engineering and Biology from Sichuan University (SCU), where I was enrolled in the Computational Biology Experimental Class.
My research focuses on AI for Science, with two complementary directions: (i) advancing generative AI models themselves — including diffusion models and large language models, and (ii) applying these models to scientific domains, specifically protein design, molecular generation, and drug discovery. To date, I have 11 high-impact papers published or under submission, accumulating 187+ citations, including first-author work at CCF-A venues such as SCIENCE CHINA Information Sciences.
—Citations
—h-index
—i10-index
—Papers
If you are interested in any aspect of my work, I am always open to discussions and collaborations. Feel free to reach out via linzongying [at] stu.pku.edu.cn or linzy191119 [at] gmail.com, or add me on WeChat lzyyy1119 (please state the purpose when adding, thank you!).
Research Interests
- AI for Science
- Large Language Models (LLMs)
- Diffusion Models
- Multimodal Machine Learning
- Protein Sequence & Structure Design
Education
Peking University (PKU)
Sep 2023 — Jun 2026 (Expected)
M.S. in Computer Applied Technology, School of Electronic and Computer Engineering. Advised by Prof. Li Yuan (Assistant Professor) and Prof. Yonghong Tian. Ranked 3rd in the program. Recipient of the National Scholarship, Merit Student (San Hao, ×2), and Outstanding Research Award.
Sichuan University (SCU)
Sep 2019 — Jun 2023
Dual B.S. in Software Engineering and Biology, Computational Biology Experimental Class. Ranked 1st. President of Zili Society; Vice-President of the Bio-Innovation Research Association.
Publications
Selected papers below. Full list on Google Scholar. * denotes equal contribution.
SCIENCE CHINA Information Sciences · CCF-A · SCI Q1 Top · IF 7.621
TaxDiff: Taxonomic-Guided Diffusion Model for Protein Sequence Generation
Zongying Lin, Hao Li, Liuzhenghao Lv, et al.
SCIENCE CHINA Information Sciences, 2025 · 14 citations · First Author
Paper
arXiv
Code
IEEE Transactions on Artificial Intelligence
ProLLaMA: A Protein Large Language Model for Multi-Task Protein Language Processing
Liuzhenghao Lv, Zongying Lin, Hao Li, et al.
IEEE Trans. on Artificial Intelligence, 2025 · 110+ citations · Second Author
Paper
arXiv
MICCAI 2022 · CCF-B
Multi-TransSP: Multimodal Transformer for Survival Prediction of Nasopharyngeal Carcinoma Patients
Hanci Zheng*, Zongying Lin*, Q. Zhou, et al.
MICCAI 2022 · 50 citations · Co-first Author
Paper
Code
ICME 2025
CASA: Class-Agnostic Shared Attributes in Vision-Language Models for Efficient Incremental Object Detection
Mingyi Guo, Yuyang Liu, Zhiyuan Yan, Zongying Lin, P. Peng, Y. Tian
ICME 2025
arXiv
arXiv Preprint · 2024
Navigating Chemical-Linguistic Sharing Space with Heterogeneous Molecular Encoding
L. Lv, H. Li, Y. Wang, Z. Yan, Z. Chen, Zongying Lin, et al.
arXiv:2412.20888 · 6 citations
arXiv
arXiv Preprint · 2024
Multi-granularity Score-based Generative Framework Enables Efficient Inverse Design of Complex Organics
Z. Chen, Y. Wang, L. Lv, H. Li, Zongying Lin, et al.
arXiv:2409.07912 · 5 citations
arXiv
Experience
Tencent TEG — Security Platform Department — Applied Research Intern (Algorithm)
Jan 2026 — Present
- Researched self-iterative and self-evolving risk-control strategy models.
- Researched next-generation CAPTCHA designs to defend against advanced automated attacks.
- Investigated image semantic adversarial attacks and defenses for visual verification scenarios.
International Digital Economy Academy (IDEA) — Algorithm Intern, CTO Group
May 2025 — Sep 2025
- Explored protein generation via diffusion models conditioned on protein complexes.
- Designed screening algorithms for protein–protein interaction complexes.
- Built the largest-scale PPI prototype database to date.
DP Technology (深势科技) — Algorithm Research Intern
Jul 2024 — May 2025
- Developed Transformer-based diffusion generative models for drug discovery and molecular design.
- Built pocket-screening and chiral-molecule design prototype algorithm library.
- Key modules adopted in downstream drug experiments; produced internal technical reports.
Awards & Honors
- National Scholarship Peking University · 2024
- Merit Student (San Hao) × 2 Peking University · 2024, 2025
- Outstanding Research Award Peking University · 2024
- PKU Academic Excellence Award Peking University · 2024
- National Encouragement Scholarship (×2) Sichuan University · 2020–2023
- MCM/ICM Meritorious Winner Top 7% internationally · 2022
- National Optoelectronic Design — Best Creativity National-level award · 2022
- PKU 31st Sports Meeting — Team 1st Class Sports Committee Member · 2024
News and Updates
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Jan 2026：Joined Tencent TEG Security Platform Department as an Applied Research Intern, working on next-generation CAPTCHA and image semantic adversarial research.
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Sep 2025：Awarded Merit Student (San Hao) again at Peking University.
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Sep 2024：Awarded the National Scholarship, Merit Student (San Hao), and Outstanding Research Award at Peking University.
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Apr 2025：Our work ProLLaMA has been accepted to IEEE Transactions on Artificial Intelligence, accumulating 110+ citations.
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Feb 2025：Our first-author work TaxDiff has been accepted to SCIENCE CHINA Information Sciences (CCF-A, SCI Q1 Top).
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Jan 2025：Our work CASA has been accepted to ICME 2025 — Class-Agnostic Shared Attributes for Incremental Object Detection.
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Sep 2023：Joined Peking University as an M.S. student in Computer Applied Technology.
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May 2022：Co-first-author work Multi-TransSP accepted by MICCAI 2022 (CCF-B) — Survival Prediction for Nasopharyngeal Carcinoma.
