Mu Li
Impact in
-
- Advanced Neural Network Applications
- Multimodal Machine Learning Applications
- Artificial Intelligence top 0.5%
- Topic Modeling
- Natural Language Processing Techniques
- Stochastic Gradient Optimization Techniques
- Domain Adaptation and Few-Shot Learning
- Privacy-Preserving Technologies in Data
Papers in
-
- Natural Language Processing Techniques 27
- Topic Modeling 26
- Stochastic Gradient Optimization Techniques 6
- Advanced Text Analysis Techniques 5
- Domain Adaptation and Few-Shot Learning 4
-
- Advanced Neural Network Applications 11
- Multimodal Machine Learning Applications 8
- Co-authors
- Hang ZhangTong HeZhongyue ZhangZhi ZhangJunyuan XieBao‐Liang LuAlexander J. SmolaDavid G. Andersen
- Journals
- IEEE/ACM Transactions on Audio Speech and Language Processing (2 papers)Computational Linguistics (1 paper)Energies (1 paper)Separation and Purification Technology (1 paper)Pattern Recognition (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Mu Li
60 papers receiving 3.8k citations
Hit Papers
Peers
Comparison fields: 5 of 163
- Computer Vision and Pattern Recognition 1.6k
- Artificial Intelligence 2.0k
- Media Technology 228
- Computational Mathematics 15
- Hardware and Architecture 133
Countries citing papers authored by Mu Li
This map shows the geographic impact of Mu Li's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Mu Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mu Li more than expected).
Fields of papers citing papers by Mu Li
This network shows the impact of papers produced by Mu Li. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Mu Li. The network helps show where Mu Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Mu Li, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 3 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2023 | 7 | |
| 5 | 2023 | 4 | |
| 6 | ResNeSt: Split-Attention Networks Hit paper breakdown → | 2022 | 629 |
| 7 | 2022 | 1 | |
| 8 | Multimodal AutoML on Structured Tables with Text Fields | 2021 | 3 |
| 9 | GluonCV and GluonNLP: Deep Learning in Computer Vision and Natural Language Processing | 2020 | 109 |
| 10 | Optimizing CNN model inference on CPUs | 2019 | 26 |
| 11 | Improving Attention Modeling with Implicit Distortion and Fertility for Machine Translation | 2016 | 15 |
| 12 | AdaDelay: Delay Adaptive Distributed Stochastic Optimization | 2016 | 5 |
| 13 | Scaling distributed machine learning with the parameter server Hit paper breakdown → | 2014 | 606 |
| 14 | Communication Efficient Distributed Machine Learning with the Parameter Server | 2014 | 242 |
| 15 | Re-training Monolingual Parser Bilingually for Syntactic SMT | 2012 | 4 |
| 16 | 2009 | 284 | |
| 17 | Improving Query Spelling Correction Using Web Search Results | 2007 | 64 |
| 18 | Discriminative Reranking for Spelling Correction | 2006 | 7 |
| 19 | An Improved Chinese Word Segmentation System with Conditional Random Field | 2006 | 117 |
| 20 | 2004 | 39 |
About Mu Li
Mu Li is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Signal Processing and Management Science and Operations Research, having authored 61 papers that have together received 4.0k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (27 papers), Topic Modeling (26 papers), Advanced Neural Network Applications (11 papers), Multimodal Machine Learning Applications (8 papers), Stochastic Gradient Optimization Techniques (6 papers), Advanced Text Analysis Techniques (5 papers), Web Data Mining and Analysis (5 papers) and Domain Adaptation and Few-Shot Learning (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.6k citations), Artificial Intelligence (2.0k citations), Media Technology (228 citations), Computational Mathematics (15 citations) and Hardware and Architecture (133 citations). Mu Li has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Hang Zhang, Tong He, Zhongyue Zhang, Zhi Zhang, Junyuan Xie, Bao‐Liang Lu, Alexander J. Smola, David G. Andersen, Changning Huang and Amr Ahmed. Their work appears in journals such as IEEE/ACM Transactions on Audio Speech and Language Processing, Computational Linguistics, Energies, Separation and Purification Technology and Pattern Recognition.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.