Hieu Pham
Impact in
- Artificial Intelligence top 0.1%
- Topic Modeling
- Natural Language Processing Techniques
- Domain Adaptation and Few-Shot Learning
- Speech Recognition and Synthesis
- Advanced Text Analysis Techniques
- Sentiment Analysis and Opinion Mining
-
- Multimodal Machine Learning Applications
- Advanced Neural Network Applications
Papers in
-
- Topic Modeling 7
- Metaheuristic Optimization Algorithms Research 7
- Natural Language Processing Techniques 7
- Machine Learning and Data Classification 4
-
- Multimodal Machine Learning Applications 7
- Co-authors
- Thang LuongChristopher D. ManningQuoc V. LeJeff DeanBarret ZophMelody Y. GuanZihang DaiQizhe Xie
- Journals
- Scientific Reports (2 papers)Neurocomputing (2 papers)Frontiers in Plant Science (2 papers)Knowledge-Based Systems (2 papers)Proceedings of the VLDB Endowment (1 paper)
- Partner nations
- United StatesJapanSouth Korea
In The Last Decade
Hieu Pham
38 papers receiving 6.5k citations
Hit Papers
Peers
Comparison fields: 5 of 182
- Artificial Intelligence 4.6k
- Computer Vision and Pattern Recognition 2.3k
- Signal Processing 555
- Information Systems 573
- Human-Computer Interaction 128
Countries citing papers authored by Hieu Pham
This map shows the geographic impact of Hieu Pham'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 Hieu Pham with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hieu Pham more than expected).
Fields of papers citing papers by Hieu Pham
This network shows the impact of papers produced by Hieu Pham. 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 Hieu Pham. The network helps show where Hieu Pham may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hieu Pham, 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 | 2024 | 0 | |
| 2 | 2022 | 8 | |
| 3 | 2022 | 3 | |
| 4 | 2022 | 11 | |
| 5 | Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision | 2021 | 5 |
| 6 | Meta Pseudo Labels Hit paper breakdown → | 2021 | 289 |
| 7 | 2021 | 5 | |
| 8 | 2021 | 119 | |
| 9 | 2021 | 7 | |
| 10 | Multilingual neural machine translation with soft decoupled encoding | 2019 | 16 |
| 11 | 2019 | 3 | |
| 12 | 2019 | 8 | |
| 13 | Faster Discovery of Neural Architectures by Searching for Paths in a Large Model | 2018 | 6 |
| 14 | A Hierarchical Model for Device Placement | 2018 | 55 |
| 15 | Efficient Neural Architecture Search via Parameters Sharing Hit paper breakdown → | 2018 | 598 |
| 16 | 2018 | 103 | |
| 17 | 2013 | 5 | |
| 18 | 2013 | 0 | |
| 19 | 2012 | 3 | |
| 20 | 2012 | 1 |
About Hieu Pham
Hieu Pham is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Analytical Chemistry, Radiological and Ultrasound Technology and Plant Science, having authored 41 papers that have together received 7.0k indexed citations. Recurring topics across this work include Topic Modeling (7 papers), Metaheuristic Optimization Algorithms Research (7 papers), Multimodal Machine Learning Applications (7 papers), Natural Language Processing Techniques (7 papers), Smart Agriculture and AI (5 papers), Remote Sensing in Agriculture (4 papers), Machine Learning and Data Classification (4 papers) and Spectroscopy and Chemometric Analyses (4 papers). The work is most often cited by research in Artificial Intelligence (4.6k citations), Computer Vision and Pattern Recognition (2.3k citations), Signal Processing (555 citations), Information Systems (573 citations) and Human-Computer Interaction (128 citations). Hieu Pham has collaborated with scholars based in United States, Japan and South Korea. Frequent co-authors include Thang Luong, Christopher D. Manning, Quoc V. Le, Jeff Dean, Barret Zoph, Melody Y. Guan, Zihang Dai, Qizhe Xie, Saeed Khaki and Guiping Hu. Their work appears in journals such as Scientific Reports, Neurocomputing, Frontiers in Plant Science, Knowledge-Based Systems and Proceedings of the VLDB Endowment.
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.