Tae Jun Ham
- Hardware and Architecture top 1%
- Parallel Computing and Optimization Techniques 15
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- Advanced Data Storage Technologies 16
- Caching and Content Delivery 4
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- Advanced Neural Network Applications 4
- Graph Theory and Algorithms 3
- Artificial Intelligence top 5%
- Algorithms and Data Compression 4
- Advanced Graph Neural Networks 3
- Information Systems top 5%
- Cloud Computing and Resource Management 8
- Co-authors
- Margaret MartonosiNarayanan SundaramLisa WuNadathur SatishJae W. LeeYejin LeeSung Jun JungJuan L. Aragón
- Cited by
- Hardware and ArchitectureComputer Networks and CommunicationsComputer Vision and Pattern Recognition
- Journals
- IEEE Micro (2 papers)ACM Transactions on Embedded Computing Systems (1 paper)ACM Transactions on Storage (1 paper)
- Partner nations
- South KoreaUnited StatesSpain
In The Last Decade
Tae Jun Ham
29 papers receiving 838 citations
Peers
Comparison fields: 5 of 37
- Hardware and Architecture 473
- Computer Networks and Communications 432
- Computer Vision and Pattern Recognition 324
- Artificial Intelligence 285
- Information Systems 199
Countries citing papers authored by Tae Jun Ham
This map shows the geographic impact of Tae Jun Ham'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 Tae Jun Ham with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tae Jun Ham more than expected).
Fields of papers citing papers by Tae Jun Ham
This network shows the impact of papers produced by Tae Jun Ham. 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 Tae Jun Ham. The network helps show where Tae Jun Ham may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tae Jun Ham, 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 | 0 | |
| 2 | 2022 | 17 | |
| 3 | 2022 | 3 | |
| 4 | 2022 | 5 | |
| 5 | ASAP: Fast Mobile Application Switch via Adaptive Prepaging. | 2021 | 7 |
| 6 | FlashNeuron: SSD-Enabled Large-Batch Training of Very Deep Neural Networks | 2021 | 12 |
| 7 | Behemoth: A Flash-centric Training Accelerator for Extreme-scale DNNs. | 2021 | 7 |
| 8 | 2021 | 8 | |
| 9 | 2021 | 22 | |
| 10 | 2021 | 3 | |
| 11 | 2021 | 26 | |
| 12 | 2020 | 22 | |
| 13 | 2020 | 6 | |
| 14 | 2020 | 16 | |
| 15 | Practical erase suspension for modern low-latency SSDs | 2019 | 9 |
| 16 | Asynchronous I/O Stack: A Low-latency Kernel I/O Stack for Ultra-Low Latency SSDs. | 2019 | 27 |
| 17 | 2019 | 3 | |
| 18 | 2016 | 127 | |
| 19 | 2016 | 221 | |
| 20 | 2013 | 47 |
About Tae Jun Ham
Tae Jun Ham is a scholar working on Hardware and Architecture, Computer Networks and Communications, Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems, having authored 30 papers that have together received 863 indexed citations. Recurring topics across this work include Advanced Data Storage Technologies (16 papers), Parallel Computing and Optimization Techniques (15 papers), Cloud Computing and Resource Management (8 papers), Caching and Content Delivery (4 papers), Advanced Neural Network Applications (4 papers), Algorithms and Data Compression (4 papers), Graph Theory and Algorithms (3 papers) and Advanced Graph Neural Networks (3 papers). The work is most often cited by research in Hardware and Architecture (473 citations), Computer Networks and Communications (432 citations), Computer Vision and Pattern Recognition (324 citations), Artificial Intelligence (285 citations) and Information Systems (199 citations). Tae Jun Ham has collaborated with scholars based in South Korea, United States and Spain. Frequent co-authors include Margaret Martonosi, Narayanan Sundaram, Lisa Wu, Nadathur Satish, Jae W. Lee, Yejin Lee, Sung Jun Jung, Juan L. Aragón, Hyun‐Ji Choi and Jung Ho Ahn. Their work appears in journals such as IEEE Micro, ACM Transactions on Embedded Computing Systems, ACM Transactions on Storage, IEEE Transactions on Computers and ACM Transactions on Architecture and Code Optimization.
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.