Lala Li
Impact in
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- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
- Multimodal Machine Learning Applications
- Video Surveillance and Tracking Methods
- Human Pose and Action Recognition
- Advanced Vision and Imaging
- Medical Image Segmentation Techniques
Papers in
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- Natural Language Processing Techniques 2
- Advanced Text Analysis Techniques 1
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- Advanced Image and Video Retrieval Techniques 2
- Multimodal Machine Learning Applications 1
- Generative Adversarial Networks and Image Synthesis 1
- Co-authors
- Geoffrey E. Hinton (1 shared paper)Saurabh Saxena (1 shared paper)Ting Chen (1 shared paper)Simon Kornblith (1 shared paper)Thao Nguyen (1 shared paper)Jia Yan (1 shared paper)Yuxi Luo (1 shared paper)Zi-Rui Wang (1 shared paper)
- Journals
- Advances in intelligent systems research (1 paper)International Conference on Machine Learning (1 paper)
- Partner nations
- United StatesChinaGermany
In The Last Decade
Lala Li
7 papers receiving 65 citations
Peers
Comparison fields: 5 of 37
- Computer Vision and Pattern Recognition 42
- Structural Biology 1
- Artificial Intelligence 15
- Media Technology 4
- Biophysics 2
Countries citing papers authored by Lala Li
This map shows the geographic impact of Lala 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 Lala Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lala Li more than expected).
Fields of papers citing papers by Lala Li
This network shows the impact of papers produced by Lala 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 Lala Li. The network helps show where Lala Li may publish in the future.
Co-authors
The 19 scholars most cited alongside Lala 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 | 2023 | 45 | |
| 2 | 2023 | 6 | |
| 3 | 2014 | 6 | |
| 4 | Differentiable Product Quantization for End-to-End Embedding Compression | 2020 | 4 |
| 5 | 2022 | 2 | |
| 6 | 2022 | 2 | |
| 7 | 2019 | 1 | |
| 8 | 2009 | 0 |
About Lala Li
Lala Li is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Endocrine and Autonomic Systems, Pulmonary and Respiratory Medicine and Information Systems, having authored 8 papers that have together received 66 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (2 papers), Advanced Image and Video Retrieval Techniques (2 papers), Advanced Text Analysis Techniques (1 paper), Neuroscience of respiration and sleep (1 paper), Multimodal Machine Learning Applications (1 paper), Respiratory Support and Mechanisms (1 paper), Service-Oriented Architecture and Web Services (1 paper) and Generative Adversarial Networks and Image Synthesis (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (42 citations), Structural Biology (1 citation), Artificial Intelligence (15 citations), Media Technology (4 citations) and Biophysics (2 citations). Lala Li has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Geoffrey E. Hinton, Saurabh Saxena, Ting Chen, Simon Kornblith, Thao Nguyen, Jia Yan, Yuxi Luo, Zi-Rui Wang, Ting Chen and William Chan. Their work appears in journals such as Advances in intelligent systems research and International Conference on Machine Learning.
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.