World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
36
Citations
5055
World Ranking
11317
National Ranking
4668

Overview

Mu Li is a researcher affiliated with Amazon in the United States, specializing in computer science with a focus on artificial intelligence and computer vision. Their publication record spans major themes in advanced neural network applications, natural language processing techniques, and domain adaptation, among others.

Their work prominently covers multiple subfields, including:

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Ocean Engineering
  • Organic Chemistry
  • Renewable Energy, Sustainability and the Environment

Main topics in Mu Li's research include:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Advanced Neural Network Applications
  • Domain Adaptation and Few-Shot Learning
  • Multimodal Machine Learning Applications
  • Advanced Image and Video Retrieval Techniques
  • Drilling and Well Engineering

Mu Li has contributed to a significant number of publications, with frequent appearances in venues such as:

  • arXiv (Cornell University)
  • SSRN Electronic Journal
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
  • Processes
  • IEEE Transactions on Pattern Analysis and Machine Intelligence

Recent notable papers authored or co-authored by Mu Li include:

  • "ResNeSt: Split-Attention Networks," 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
  • "ResNeSt: Split-Attention Networks," 2020, arXiv (Cornell University)
  • "Automatic Chain of Thought Prompting in Large Language Models," 2022, arXiv (Cornell University)
  • "Multimodal Chain-of-Thought Reasoning in Language Models," 2023, arXiv (Cornell University)
  • "Improving Semantic Segmentation via Efficient Self-Training," 2021, IEEE Transactions on Pattern Analysis and Machine Intelligence

Mu Li's frequent collaborators include:

  • Yi Zhu
  • Shuangzhi Wu
  • Alex Smola
  • Xingjian Shi

The researcher's scope of work reflects involvement in numerous interdisciplinary topics, integrating computer vision, language model reasoning, and self-training techniques for semantic segmentation. This diverse research agenda corresponds with contributions to both theoretical frameworks and applied machine learning methods.

Best Publications

  • Achieving Human Parity on Automatic Chinese to English News Translation

    Hany Hassan;Anthony Aue;Chang Chen;Vishal Chowdhary

  • Chinese Word Segmentation and Named Entity Recognition: A Pragmatic Approach

    Jianfeng Gao;Mu Li;Andi Wu;Chang-Ning Huang

  • An Improved Chinese Word Segmentation System with Conditional Random Field

    Hai Zhao;Chang-Ning Huang;Mu Li

  • A Recursive Recurrent Neural Network for Statistical Machine Translation

    Shujie Liu;Nan Yang;Mu Li;Ming Zhou

  • Exploring Distributional Similarity Based Models for Query Spelling Correction

    Mu Li;Muhua Zhu;Yang Zhang;Ming Zhou

  • Hierarchical Recurrent Neural Network for Document Modeling

    Rui Lin;Shujie Liu;Muyun Yang;Mu Li

  • Learning Entity Representation for Entity Disambiguation

    Zhengyan He;Shujie Liu;Mu Li;Ming Zhou

  • Style Transfer as Unsupervised Machine Translation

    Zhirui Zhang;Shuo Ren;Shujie Liu;Jianyong Wang

  • Effective Tag Set Selection in Chinese Word Segmentation via Conditional Random Field Modeling

    Hai Zhao;Changning Huang;Mu Li;Bao-Liang Lu

  • Method and apparatus using source-channel models for word segmentation

    Jianfeng Gao;Mu Li;Chang-Ning Huang;Jian Sun

  • Bilingually-constrained Phrase Embeddings for Machine Translation

    Jiajun Zhang;Shujie Liu;Mu Li;Ming Zhou

  • Improving Query Spelling Correction Using Web Search Results

    Qing Chen;Mu Li;Ming Zhou

  • Improved Source-Channel Models for Chinese Word Segmentation

    Jianfeng Gao;Mu Li;Chang-Ning Huang

  • A Probabilistic Approach to Syntax-based Reordering for Statistical Machine Translation

    Chi-Ho Li;Minghui Li;Dongdong Zhang;Mu Li

  • Person resolution in person search results: WebHawk

    Xiaojun Wan;Jianfeng Gao;Mu Li;Binggong Ding

  • Joint Training for Neural Machine Translation Models with Monolingual Data

    Zhirui Zhang;Shujie Liu;Mu Li;Ming Zhou

  • Word Alignment Modeling with Context Dependent Deep Neural Network

    Nan Yang;Shujie Liu;Mu Li;Ming Zhou

  • Sequence-to-Dependency Neural Machine Translation

    Shuangzhi Wu;Dongdong Zhang;Nan Yang;Mu Li

  • Head pose estimation using Fisher Manifold learning

    L. Chen;L. Zhang;Y. Hu;M. Li

  • A Unified Character-Based Tagging Framework for Chinese Word Segmentation

    Hai Zhao;Chang-Ning Huang;Mu Li;Bao-Liang Lu

Frequent Co-Authors

Ming Zhou
Ming Zhou Langboat Technology
Shujie Liu
Shujie Liu Microsoft Research Asia (China)
Jianfeng Gao
Jianfeng Gao Microsoft (United States)
Enhong Chen
Enhong Chen University of Science and Technology of China
Chengqing Zong
Chengqing Zong Chinese Academy of Sciences
Houfeng Wang
Houfeng Wang Peking University
Lei Zhang
Lei Zhang International Digital Economy Academy
Hai Zhao
Hai Zhao Shanghai Jiao Tong University
Nan Duan
Nan Duan Microsoft Research Asia (China)
Bao-Liang Lu
Bao-Liang Lu Shanghai Jiao Tong University

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