Liuzhenghao Lv 吕刘正浩

I am a Ph.D. student in the School of Computer Science at Peking University, advised by Prof. Yonghong Tian (co-advised by Prof. Li Yuan).

I build AI systems for scientific discovery along two complementary research directions: molecular and protein understanding and design, and dry–wet closed-loop automated laboratories. Across both directions, I work with multimodal LLMs, LLM mid-training and post-training, and agents.

Google Scholar GitHub Hugging Face

Selected Publications

^† Equal contribution.

Navigating Chemical-Linguistic Sharing Space with Heterogeneous Molecular Encoding

Liuzhenghao Lv^†, Hao Li^†, Yu Wang, Zijun Chen, Zhiyuan Yan, Zongying Lin, Yuyang Liu, Li Yuan, Yonghong Tian

Nature Communications, 2026

Paper Code Dataset

ProLLaMA: A Protein Large Language Model for Multitask Protein Language Processing

Liuzhenghao Lv, Zongying Lin, Hao Li, Yuyang Liu, Jiaxi Cui, Calvin Yu-Chian Chen, Li Yuan, Yonghong Tian

IEEE Transactions on Artificial Intelligence, 2025

Paper Code Weights 60K+ downloads

How to Detect and Defeat Molecular Mirage: A Metric-Driven Benchmark for Hallucination in LLM-based Molecular Comprehension

Hao Li^†, Liuzhenghao Lv^†, He Cao, Zijing Liu, Zhiyuan Yan, Yu Wang, Yonghong Tian, Yu Li, Li Yuan

NeurIPS AI for Science Workshop, 2025

Paper

TaxDiff: Taxonomic-Guided Diffusion Model for Protein Sequence Generation

Zongying Lin^†, Hao Li^†, Liuzhenghao Lv, Yu Wang, Bin Lin, Junwu Zhang, Zijun Chen, Calvin Yu-Chian Chen, Li Yuan, Yonghong Tian

Science China Information Sciences, 2025

Paper Code

Education

Ph.D. Student, Computer Science, Peking University (Successive Postgraduate and Doctoral Programs)

School of Computer Science · 2025.09 - 2028.06 (expected)

M.Phil. Student, Computer Science, Peking University

School of Electronic and Computer Engineering · 2023.09 - 2025.06

B.Eng., Information Security, Tongji University

School of Electronic and Information Engineering · 2019.09 - 2023.07

Experience

Ph.D. and M.Phil. Researcher, Peking University

Beijing / Shenzhen, China · 2023.09 - Present. Research on AI for biochemistry.

Main Contributor, AI for Science Platform, Peking University

Beijing / Shenzhen, China · 2025 - Present. Developing grounded agents and dry–wet closed-loop workflows for automated scientific experimentation.

Research Intern, Peking University HSBC Business School

Shenzhen, China · 2023.10 - 2024.05. Applied retrieval-augmented generation to AI-related patent identification and patent corpus analysis.

Official Contributor, SpikingJelly

Open-source deep learning framework for spiking neural networks · 2023. Published in Science Advances.

Backend R&D Intern, ByteDance

Shanghai, China · 2022.08 - 2022.11. Backend research and development for production software systems.

Academic Service

Reviewer, AAAI and NeurIPS

Liuzhenghao Lv