Sung Ju Hwang
- Computer Vision and Pattern Recognition top 1%
- Artificial Intelligence top 2%
- Media Technology top 5%
- Signal Processing top 10%
- Molecular Biology
- Co-authors
- Kristen GraumanEunho YangYoungwan LeeJonghee KimFei ShaJinwoo ShinJaehong YoonJinheon Baek
- Topics
- Domain Adaptation and Few-Shot Learning (35 papers)Multimodal Machine Learning Applications (15 papers)Advanced Neural Network Applications (14 papers)
- Partner nations
- South KoreaUnited StatesCanada
In The Last Decade
Sung Ju Hwang
76 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 115
- Computer Vision and Pattern Recognition 834
- Artificial Intelligence 812
- Media Technology 109
- Signal Processing 77
- Molecular Biology 64
Countries citing papers authored by Sung Ju Hwang
This map shows the geographic impact of Sung Ju Hwang'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 Sung Ju Hwang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sung Ju Hwang more than expected).
Fields of papers citing papers by Sung Ju Hwang
This network shows the impact of papers produced by Sung Ju Hwang. 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 Sung Ju Hwang. The network helps show where Sung Ju Hwang may publish in the future.
Co-authorship network of co-authors of Sung Ju Hwang
This figure shows the co-authorship network connecting the top 25 collaborators of Sung Ju Hwang. A scholar is included among the top collaborators of Sung Ju Hwang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sung Ju Hwang. Sung Ju Hwang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 14 | |
| 4 | 44 | |
| 5 | 2 | |
| 6 | 23 | |
| 7 | Entropy Weighted Adversarial Training | 2 |
| 8 | Hardware-adaptive Efficient Latency Prediction for NAS via Meta-Learning | 7 |
| 9 | Transductive Few-shot Learning with Meta-Learned Confidence. | 10 |
| 10 | Federated Semi-Supervised Learning with Inter-Client Consistency & Disjoint Learning | 9 |
| 11 | Why Not to Use Zero Imputation? Correcting Sparsity Bias in Training Neural Networks | 2 |
| 12 | Distribution Aligning Refinery of Pseudo-label for Imbalanced Semi-supervised Learning | 2 |
| 13 | Sparsity Normalization: Stabilizing the Expected Outputs of Deep Networks. | 1 |
| 14 | Joint Active Feature Acquisition and Classification with Variable-Size Set Encoding | 15 |
| 15 | Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning | 11 |
| 16 | SplitNet: Learning to Semantically Split Deep Networks for Parameter Reduction and Model Parallelization. | 31 |
| 17 | Combined Group and Exclusive Sparsity for Deep Neural Networks | 55 |
| 18 | Asymmetric Multi-task Learning based on Task Relatedness and Confidence. | 5 |
| 19 | Asymmetric multi-task learning based on task relatedness and loss | 42 |
| 20 | Learning a Tree of Metrics with Disjoint Visual Features | 38 |
About Sung Ju Hwang
Sung Ju Hwang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Instrumentation, having authored 81 papers that have together received 1.4k indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (35 papers), Multimodal Machine Learning Applications (15 papers) and Advanced Neural Network Applications (14 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (834 citations), Artificial Intelligence (812 citations) and Media Technology (109 citations). Sung Ju Hwang has collaborated with scholars based in South Korea, United States and Canada. Frequent co-authors include Kristen Grauman, Eunho Yang, Youngwan Lee, Jonghee Kim, Fei Sha, Jinwoo Shin, Jaehong Yoon, Jinheon Baek, Leonid Sigal and Haebeom Lee. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, New Phytologist and IEEE Access.
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.