Lijun Wu is a Researcher in Shanghai AI Laboratory, an adjunct Ph.D. supervisor in Shanghai Jiao Tong University,Fudan University, Zhongguancun Academy. Previously, he was a Research Scientist in ByteDance Seed, a Senior Researcher in Microsoft Research. He was a member of joint Ph.D. program between Sun Yat-sen University and MSRA, advised by Dr. Tie-Yan Liu and Prof. Jianhuang Lai.
His research interests cover LLMs/MLLMs and AI4Science. His works are published in Nature Communications, Nature Machine Intelligence, TPAMI, NeurIPS, ICML, ICLR, ACL, KDD and so on, with over 10k citations. He served as Evaluations and Datasets Track Chair for NeurIPS 2026. He has also served as AC in ICML, ICLR, NeurIPS, KDD, ACL, EMNLP, NAACL and so on. He has received numerous prestigious awards, including the 2018 MSRA Ph.D. Fellowship. He secured 8 championships in the WMT2019 Competition. He led team to create the BioT5 series and BioMatrix of multimodal biomolecular models, with more than 300k downloads, winning 1st and 2nd place in the ACL 2024 Language+Molecule Shared Task. He directed OpenDataArena, the first LLM post-training data value benchmarking platform in the world. His team secured 2nd place in the 2025 NeurIPS CURE-Bench Internal Reasoning Competition. His research innovations have been translated into practical products. Notably, R-Drop was deployed in Microsoft Translator across 20+ translation tasks and was widely used in business scenarios at Tencent, Baidu, Meituan. Furthermore, he participated in the development of the worldβs first Chinese-English translation system to achieve human parity in 2018.
We are hiring AI researchers working on LLM/MLLM and AI4Science, contact me if you are interested!
π₯ News
2026.7π₯ Our ACL-2026 tutorial The Data Frontier for Large Language Models is online, with slides and recordings available!2026.6We release BioMatrix, the first comprehensive biological foundation model spanning molecular/protein sequences, structures, and language. Models and data are available on Hugging Face.2026.6Invited to serve as Area Chair for the EMNLP-2026 Industry Track!2026.5π₯ Data Linerage and MinerU 2.5 are selected as Oral presentation for ACL-2026!2026.47 papers are accepted by ACL-2026, topics cover multimodal VLM, LLM data, AI4S.2026.3We release the second version of OpenDataArena-Scored-Data, for researchers to work on data-centric research.2026.2π Invited to serve as Evaluations and Datasets Track Chair for NeurIPS-2026!2026.2We release MMFineReason! Our 4B VLM model achieves 30B model performance! The superior reasoning dataset MMFineReason-1.8M is also released, which has been on the HuggingFace Datasets Trending Top 2! See the tech report.2026.2Invited to serve as Area Chair for KDD-2026.
π» Selected Projects
AI
- InternVL,
,
, a series of leading foundation VLMs.
- MinerU,
,
- OpenDataArena,
,
- MMFineReason,
AI4S
- Intern-S1-Pro,
,
- BioMatrix,
- BioT5/BioT5+,
,
π Awesome Repos
- π₯Awesome-AI-Research-Writing
- π₯Awesome-Biomolecule-Language-Cross-Modeling
- π₯Awesome-Bio-Foundation-Models
- π₯Awesome-Docking
π Selected Publications
-
ACL 2026: Tracing the Roots: A Multi-Agent Framework for Uncovering Data Lineage in Post-Training LLMs, Yu Li, Xiaoran Shang, Qizhi Pei, Yun Zhu, Xin Gao, Honglin Lin, Zhanping Zhong, Zhuoshi Pan, Zheng Liu, Xiaoyang Wang, Conghui He, Dahua Lin, Feng Zhao, Lijun Wu | Data Lineage Tool (ACL-2026 Oral Presentation; usable tool in OpenDataArena for source tracing, shared-source analysis and contamination risk detection) -
ACL 2026: MinerU2.5: A Decoupled Vision-Language Model for Efficient High-Resolution Document Parsing, Junbo Niu, Zheng Liu, Zhuangcheng Gu, Bin Wang, β¦, Lijun Wu, β¦, Wentao Zhang, Conghui He | -
Arxiv 2026: MMFineReason: Closing the Multimodal Reasoning Gap via Open Data-Centric Methods, Honglin Lin, Zheng Liu, Yun Zhu, Chonghan Qin, Juekai Lin, Xiaoran Shang, Conghui He, Wentao Zhang, Lijun Wu| Project Page | -
Arxiv 2026: BioMatrix: Towards a Comprehensive Biological Foundation Model Spanning the Modality Matrix of Sequences, Structures, and Language, Qizhi Pei, Zhimeng Zhou, Yi Duan, Yiyang Zhao, Wei Li, Han Guo, Liang He, Chengping Li, Chang-Yu Hsieh, Conghui He, Rui Yan, Lijun Wu | -
ACL 2024: BioT5+: Towards Generalized Biological Understanding with IUPAC Integration and Multi-task Tuning, Qizhi Pei, Lijun Wu, Kaiyuan Gao, Xiaozhuan Liang, Yin Fang, Jinhua Zhu, Shufang Xie, Tao Qin, Rui Yan | -
EMNLP 2023: BioT5: Enriching Cross-modal Integration in Biology with Chemical Knowledge and Natural Language Associations, Qizhi Pei, Wei Zhang, Jinhua Zhu, Kehan Wu, Kaiyuan Gao, Lijun Wu, Yingce Xia, Rui Yan, | -
NeurIPS 2020: R-Drop: Regularized Dropout for Neural Networks, Xiaobo Liang, Lijun Wu, Juntao Li, Yue Wang, Qi Meng, Tao Qin, Wei Chen, Min Zhang, Tie-Yan Liu |(R-Drop has been shaped into Microsoft Translator for 20+ language translations)
π Selected Honors and Awards
- 2nd place in Internal Reasoning Track of CURE-Bench@NeurIPS2025, 2025
- Top Area Chairs for NeurIPS-2025, 2025.
- 1st place in Text2Molecule and 2nd place in Molecue2Tedt on Language+Molecule@ACL2024 shared task, 2024
- Runner up of OGB-LSC @ KDD cup, Solution, 2021
- 1st Place of WMT 2019 in 5 translation directions: En->De, De->En, De->Fr, Fr->De and Ru->En, 2019
- Microsoft Research Asia Ph.D. Fellowship, 2018
- Stars of Tomorrow Internship Award of Microsoft Research Asia, 2018
- 1st Place of Global IBM/IEEE Smarter Planet Challenge, 2013
π Experience
- 2024.08-Now, Young Scientist, Shanghai Artificial Intelligence Laboratory
- 2024.05-2024.08, Research Scientist, ByteDance Seed
- 2022.07-2024.05, Senior Researcher, MSR AI4Science
- 2020.6-2022.07, Senoir Researcher, MSRA
- 2014.07-2020.06, Research Intern, MSRA
π¬ Academic Services
- PC: Evaluations and Datasets Track Chair for NeurIPS-26
- Tutorial: The Data Frontier for Large Language Models: Selection, Synthesis, and Tools, ACL-2026
- AC: KDD-26, ICML-26, ICLR-26, NeurIPS-25, ACL-21/22/23/24/25/26, EMNLP-23/24/25/26, NNACL-22/23/24/25, EACL-24, COLING-23, ARR-21/22/23/24/25
- SPC: AAAI-22/23/24/25/26, IJCAI-21
- Reviewers: ICLR, ICML, NeurIPS, AAAI, IJCAI, ACL, CVPR, EMNLP, KDD, NAACL, COLING, EACL, AACL, TPAMI, TASLP, KBS, Neurocomputing, CSL