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), supervised by Prof. Yonghong Tian and co-advised by Prof. Li Yuan. 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 9 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. Yonghong Tian and co-advised by Prof. Li Yuan. 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 3rd. 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 next-generation CAPTCHA designs to defend against advanced automated attacks.
- Developed CAPTCHA request routing and scheduling strategy algorithms.
- 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.
