兰艳艳， 2011年毕业于中国科学院数学与系统科学研究院，获得概率论与数理统计专业理学博士学位,师从著名数学家马志明院士。2011年7月至2021年2月，她在中国科学院计算技术研究所工作，任研究员。2021年2月加入清华大学智能产业研究院，目前任首席研究员。兰艳艳博士的研究方向为机器学习、信息检索和AI for Science。在人工智能领域重要国际期刊和会议上发表论文80余篇，Google Scholar引用超过10000次。获得人工智能领域顶级国际会议SIGIR最佳学生论文奖， CIKM最佳论文Runner-Up奖，面向基因调控的AI基础大模型发表于Nature正刊，所研发的AIRFold获得国际蛋白质结构预测比赛CAMEO全球冠军。入选国家高层次青年人才计划，中国科学院青年创新促进会优秀会员，北京智源人工智能研究院青年科学家，获得中文信息学会钱伟长中文信息处理科学技术奖一等奖、青年创新奖。兰艳艳博士曾担任AI领域多项国际重要会议的PC Chair和Area Chair，并担任人工智能领域顶级国际期刊AI Journal副主编。她还是中国计算机学会高级会员，中文信息学会信息检索专委会秘书长，应用数学学会通信与数学专委会副主任。

邮箱地址：

lanyanyan@air.tsinghua.edu.cn

个人主页：

https://yanyanlan.com/

教育经历：

2005-2011中国科学院研究生院数学院（导师马志明院士）博士

2001-2005山东大学数学系（统计学）学士

工作经历：

2021-至今清华大学智能产业研究院 首席研究员

2019-2021中国科学院计算技术研究所 研究员

2018-2019美国加州伯克利大学（UC Berkeley） 访问学者

2013-2019中国科学院计算技术研究所 副研究员

2011-2013中国科学院计算技术研究所 助理研究员

论文著作：

-AI for Science方向：

1. Shikun Feng, Yuyan Ni, Yan Lu, Zhi-Ming Ma, Wei-Ying Ma, Yanyan Lan, UniGEM: A Unified Approach to Generation and Property Prediction for Molecules. ICLR2025.

2. Bowen Gao, Haichuan Tan, Yanwen Huang, Minsi Ren, Xiao Huang, Weiying Ma, Ya-Qin Zhang, Yanyan Lan, Reframing Structure-Based Drug Design Model Evaluation via Metrics Correlated to Practical Needs, ICLR2025.

3. Yanwen Huang, Bowen Gao, Yinjun Jia, Hongbo Ma, Wei-Ying Ma, Ya-Qin Zhang, Yanyan Lan, Redefining the task of Bioactivity Prediction, ICLR2025.

4. Xi Fu, Shentong Mo, Alejandro Buendia, Anouchka P Laurent, Anqi Shao, Maria del Mar Alvarez-Torres, Tianji Yu, Jimin Tan, Jiayu Su, Romella Sagatelian, Adolfo A Ferrando, Alberto Ciccia, Yanyan Lan, David M Owens, Teresa Palomero, Eric P Xing, Raul Rabadan, A foundation model of transcription across human cell types, Nature, 2025 January 23, 637, 965–973.Yuyan Ni, Shikun Feng, Xin Hong, Yuancheng Sun, Wei-Ying Ma, Zhi-Ming Ma, Qiwei Ye, Yanyan Lan, Pre-training with Fractional Denoising to Enhance Molecular Property Prediction, Nature Machine Intelligence 2024.

5. Shikun Feng, Yuyan Ni, Minghao Li, Yanwen Huang, Zhi-Ming Ma, Wei-Ying Ma, Yanyan Lan, UniCorn: A Unified Contrastive Learning Approach for Multi-view Molecular Representation Learning. ICML2024.

6. Bowen Gao, Minsi Ren, Yuyan Ni, Yanwen Huang, Bo Qiang, Zhi-Ming Ma, Wei-Ying Ma, Yanyan Lan, Rethinking Specificity in SBDD: Leveraging Delta Score and Energy-Guided Diffusion. ICML2024.

7. Shikun Feng, Minghao Li, Yinjun Jia, Wei-Ying Ma, Yanyan Lan, Protein-ligand binding representation learning from fine-grained interactions. ICLR2024.

8. Yuyan Ni, Shikun Feng, Wei-Ying Ma, Zhi-Ming Ma, Yanyan Lan, Sliced Denoising: A Physics-Informed Molecular Pre-Training Method. ICLR2024.

9. Bowen Gao, Yinjun Jia, Yuanle Mo, Yuyan Ni, Wei-Ying Ma, Zhi-Ming Ma, Yanyan Lan, Self-supervised Pocket Pretraining via Protein Fragment-Surroundings Alignment. ICLR2024.

10. Bowen Gao, Bo Qiang, Haichuan Tan, Minsi Ren, Yinjun Jia, Minsi Lu, Jingjing Liu, Wei-Ying Ma, Yanyan Lan, DrugCLIP: Contrastive Protein-Molecule Representation Learning for Virtual Screening. NeurIPS2023.

11. Shikun Feng, Yuyan Ni, Wei-Ying Ma, Zhi-Ming Ma, Yanyan Lan, Fractional Denoising for 3D Molecular Pre-Training. ICML2023.

12.Bo Qiang, Yuxuan Song, Minkai Xu, Jingjing Gong, Bowen Gao, Hao Zhou, Wei-Ying Ma, Yanyan Lan, Coarse-to-Fine: a Hierarchical Diffusion Model for Molecule Generation in 3D. ICML2023.

-机器学习和自然语言处理方向：

1. Jianing Li&, Yanyan Lan*, Jiafeng Guo, and Xueqi Cheng. On the Relation between Quality-Diversity Evaluation and Distribution-Fitting Goal in Text Generation, ICML2020.

2. Yimeng Chen&, Yanyan Lan*, Ruibin Xiong, Liang Pang, Zhiming Ma and Xueqi Cheng. Evaluating Natural Language Generation via Unbalanced Optimal Transport, IJCAI2020.

3. Hainan Zhang&, Yanyan Lan*, Liang Pang, Hongshen Chen, Zhuoye Ding, and Dawei Yin. Modeling Topical Relevance for Multi-Turn Dialogue Generation, IJCAI2020.

4. Jianing Li&, Yanyan Lan*, Jiafeng Guo, Jun Xu and Xueqi Cheng. Differentiated Distribution Recovery for Neural Text Generation, AAAI2019.

5. Liang Pang&, Yanyan Lan*, Jiafeng Guo, Jun Xu, Lixin Su and Xueqi Cheng. HAS-QA: Hierarchical Answer Spans Model for Open-domain Question Answering, AAAI2019.

6. Hainan Zhang&, Yanyan Lan*, Liang Pang, Jiafeng Guo and Xueqi Cheng，ReCoSa: Detecting the Relevant Contexts with Self-Attention for Multi-turn Dialogue Generation, ACL2019.

7. Liang Pang&, Yanyan Lan*, Jiafeng Guo, Jun Xu, Shengxian Wan, and Xueqi Cheng, Text Matching as Image Recognition, AAAI2016.

8. Yadong Zhu&, Yanyan Lan*, Jiafeng Guo, and Xueqi Cheng, Learning for Search Result Diversification, SIGIR2014.

9. Yanyan Lan*, Jiafeng Guo, Xueqi Cheng, Tie-Yan Liu. Statistical Consistency of Ranking Methods in A Rank-Differentiable Probability Space, NIPS2012.

10. Shuzi Niu&, Jiafeng Guo, Yanyan Lan*, and Xueqi Cheng, Top-k Learning to Rank: Labeling, Ranking, and Evaluation, SIGIR2012.

11. Transductive Learning for Unsupervised Text Style Transfer, EMNLP2021.

12. Adaptive Information Seeking for Open-Domain Question Answering, EMNLP2021. HotPotQA Winner

13. Match-Ignition: Plugging PageRank into Transformer for Long-form Text Matching, CIKM2021.