World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
37
Citations
8788
World Ranking
10515
National Ranking
1294

Overview

Yanyan Lan is affiliated with the Chinese Academy of Sciences in China. Their research primarily focuses on the field of Computer Science, with a specialized concentration in Artificial Intelligence. They have a substantial publication record spanning diverse subfields and topics within this domain.

Their work encompasses various research topics including:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Computational Drug Discovery Methods
  • Domain Adaptation and Few-Shot Learning
  • Machine Learning in Materials Science
  • Multimodal Machine Learning Applications
  • Advanced Text Analysis Techniques

Lan's publication record includes several recent papers. Among them are:

  • "Pre-trained models: Past, present and future" (2021), published in AI Open
  • "On Layer Normalization in the Transformer Architecture" (2020), published in arXiv (Cornell University)
  • "WenLan: Bridging Vision and Language by Large-Scale Multi-Modal Pre-Training" (2021), published in arXiv (Cornell University)
  • "Artificial intelligence education: An evidence-based medicine approach for consumers, translators, and developers" (2023), published in Cell Reports Medicine
  • "Harnessing the potential of large language models in medical education: promise and pitfalls" (2024), published in Journal of the American Medical Informatics Association

Frequent coauthors collaborating with Lan include:

  • Xueqi Cheng (29 joint publications)
  • Liang Pang (21 joint publications)
  • Jiafeng Guo (19 joint publications)
  • Wei-Ying Ma (16 joint publications)
  • Yuyan Ni (13 joint publications)

The scientist's work is frequently published in several venues, notably:

  • arXiv (Cornell University) with 54 publications
  • Proceedings of the AAAI Conference on Artificial Intelligence with 4 publications
  • Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing with 3 publications
  • bioRxiv (Cold Spring Harbor Laboratory) with 3 publications
  • AI Open with 2 publications

Best Publications

  • A biterm topic model for short texts

    Xiaohui Yan;Jiafeng Guo;Yanyan Lan;Xueqi Cheng

  • Pre-Trained Models: Past, Present and Future

    Xu Han;Zhengyan Zhang;Ning Ding;Yuxian Gu

  • BTM: Topic Modeling over Short Texts

    Xueqi Cheng;Xiaohui Yan;Yanyan Lan;Jiafeng Guo

  • Text matching as image recognition

    Liang Pang;Yanyan Lan;Jiafeng Guo;Jun Xu

  • Learning Hierarchical Representation Model for NextBasket Recommendation

    Pengfei Wang;Jiafeng Guo;Yanyan Lan;Jun Xu

  • On Layer Normalization in the Transformer Architecture

    Ruibin Xiong;Yunchang Yang;Di He;Kai Zheng

  • A deep architecture for semantic matching with multiple positional sentence representations

    Shengxian Wan;Yanyan Lan;Jiafeng Guo;Jun Xu

  • DeepRank: A New Deep Architecture for Relevance Ranking in Information Retrieval

    Liang Pang;Yanyan Lan;Jiafeng Guo;Jun Xu

  • On Layer Normalization in the Transformer Architecture

    Ruibin Xiong;Yunchang Yang;Di He;Kai Zheng

  • Ranking Measures and Loss Functions in Learning to Rank

    Wei Chen;Tie-yan Liu;Yanyan Lan;Zhi-ming Ma

  • Text Matching as Image Recognition

    Liang Pang;Yanyan Lan;Jiafeng Guo;Jun Xu

  • Match-SRNN: modeling the recursive matching structure with spatial RNN

    Shengxian Wan;Yanyan Lan;Jun Xu;Jiafeng Guo

  • ReCoSa: Detecting the Relevant Contexts with Self-Attention for Multi-turn Dialogue Generation

    Hainan Zhang;Yanyan Lan;Liang Pang;Jiafeng Guo

  • A Deep Architecture for Semantic Matching with Multiple Positional Sentence Representations

    Shengxian Wan;Yanyan Lan;Jiafeng Guo;Jun Xu

  • A Study of MatchPyramid Models on Ad-hoc Retrieval.

    Liang Pang;Yanyan Lan;Jiafeng Guo;Jun Xu

  • Learning for search result diversification

    Yadong Zhu;Yanyan Lan;Jiafeng Guo;Xueqi Cheng

  • SetRank: Learning a Permutation-Invariant Ranking Model for Information Retrieval

    Liang Pang;Jun Xu;Qingyao Ai;Yanyan Lan

  • Reinforcement Learning to Rank with Markov Decision Process

    Zeng Wei;Jun Xu;Yanyan Lan;Jiafeng Guo

  • A probabilistic model for bursty topic discovery in microblogs

    Xiaohui Yan;Jiafeng Guo;Yanyan Lan;Jun Xu

  • Match-SRNN: Modeling the Recursive Matching Structure with Spatial RNN

    Shengxian Wan;Yanyan Lan;Jun Xu;Jiafeng Guo

  • Learning Maximal Marginal Relevance Model via Directly Optimizing Diversity Evaluation Measures

    Long Xia;Jun Xu;Yanyan Lan;Jiafeng Guo

  • Learning to Control the Specificity in Neural Response Generation

    Ruqing Zhang;Jiafeng Guo;Yixing Fan;Yanyan Lan

  • Modeling Diverse Relevance Patterns in Ad-hoc Retrieval

    Yixing Fan;Jiafeng Guo;Yanyan Lan;Jun Xu

  • Modeling Diverse Relevance Patterns in Ad-hoc Retrieval

    Yixing Fan;Jiafeng Guo;Yanyan Lan;Jun Xu

  • Sparse word embeddings using l 1 regularized online learning

    Fei Sun;Jiafeng Guo;Yanyan Lan;Jun Xu

Frequent Co-Authors

Xueqi Cheng
Xueqi Cheng Chinese Academy of Sciences
Jiafeng Guo
Jiafeng Guo Chinese Academy of Sciences
Jun Xu
Jun Xu Renmin University of China
Tie-Yan Liu
Tie-Yan Liu Microsoft (United States)
Fei Sun
Fei Sun Institute Of Computing Technology
Dawei Yin
Dawei Yin Baidu (China)
Huawei Shen
Huawei Shen Chinese Academy of Sciences
Hang Li
Hang Li ByteDance
Wayne Xin Zhao
Wayne Xin Zhao Renmin University of China
Peng Jiang
Peng Jiang University of Florida

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring computer science often leads students to consider online degrees and alternative career pathways. Many are looking for affordable degrees or accelerated options for quicker entry into the tech workforce. For those interested in data, there are flexible and cost-effective options, such as the cheapest master in data science degrees, which can combine affordability with solid career prospects.

Some students pursue specialized technical areas like electrical engineering. With a focus on flexibility, online electrical engineering courses USA help learners upskill or transition careers without disrupting their current schedules. Fast-track credentials are also popular; many explore certifications for jobs that deliver industry-relevant skills and better salaries in less time.

Finally, for those aiming to balance speed and quality, there are shortest masters degree programs available online that lead to respected qualifications in a condensed timeframe. By considering these options, students can choose pathways that match their personal goals, budgets, and timelines for success in tech fields.

Best Scientists Citing Yanyan Lan

Trending Scientists

Recently Published Articles