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

News

Sep 2026Our RipplePLM was accepted to NeurIPS 2026.
Sep 2026Our HME was selected as an Editors’ Highlight in Nature Communications.
Jul 2026Our HME was published in Nature Communications.
Jun 2026Our BioProAgent was selected for an oral presentation at ACL 2026.
May 2026Our BioProBench was accepted to ICML 2026.
Apr 2026Our BioProAgent was accepted to ACL 2026.
Apr 2025Our ProLLaMA was accepted by IEEE Transactions on Artificial Intelligence.

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

Selected as Editors’ Highlight — one of the 50 best papers recently published in materials science and chemistry.

View collection screenshots

Nature Communications Materials science and chemistry collection overview — Nature Communications — Materials science and chemistry collection.

Collection listing featuring Navigating chemical-linguistic sharing space with heterogeneous molecular encoding by Liuzhenghao Lv and colleagues — HME featured in the collection. Select an image to view it at full size.

Paper Code Dataset

RipplePLM: Structural and Property Decoupling for Protein Mutation Effect Generation

Liuzhenghao Lv, Yuyang Liu, Yuyang Gao, Li Yuan, Yonghong Tian

NeurIPS, 2026

Paper Code Dataset

Bridging the Gap in Autonomous Science: The Corpus and Benchmark for Biological Protocol Reasoning

Yuyang Liu^†, Liuzhenghao Lv^†, Xiancheng Zhang, Jingya Wang, Li Yuan, Yonghong Tian

ICML, 2026

Paper Code Dataset 300K+ downloads

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

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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

LabEvolver: Training-Free Experience Evolution for Safe and Grounded Wet-Lab Agents

Jingya Wang, Yuyang Gao, Liuzhenghao Lv, Yonghong Tian, Yuyang Liu

arXiv, 2026

Paper Code Project

BioProAgent: Neuro-Symbolic Grounding for Constrained Scientific Planning

Yuyang Liu, Jingya Wang, Liuzhenghao Lv, Yonghong Tian

ACL Main (Oral), 2026

Paper Code Project

Machine Mindset: An MBTI Exploration of Large Language Models

Jiaxi Cui^†, Liuzhenghao Lv^†, Jing Wen, Rongsheng Wang, Jing Tang, Yonghong Tian, Li Yuan

arXiv, 2023

Paper Code

Optimal ANN-SNN Conversion with Group Neurons

Liuzhenghao Lv, Wei Fang, Li Yuan, Yonghong Tian

ICASSP, 2024

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.

Awards

Outstanding Research Award, Peking University · 2024

Merit Student, Peking University · 2026

Leo KoGuan Scholarship, Peking University · 2026

Academic Service

Reviewer, AAAI and NeurIPS