2026 Byoung-Tak Zhang: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	50	5537	5382	38	38	450	12433

Overview

Byoung-Tak Zhang is affiliated with Seoul National University in South Korea. Their research is primarily situated within the field of Computer Science, with a strong focus on subfields such as Computer Vision and Pattern Recognition, Artificial Intelligence, Control and Systems Engineering, Signal Processing, and Developmental and Educational Psychology.

The scientist's work encompasses several main topics, including:

Multimodal Machine Learning Applications
Human Pose and Action Recognition
Domain Adaptation and Few-Shot Learning
Advanced Image and Video Retrieval Techniques
Topic Modeling
Generative Adversarial Networks and Image Synthesis
Video Analysis and Summarization

Byoung-Tak Zhang has a history of publication in a variety of venues, such as:

arXiv (Cornell University)
KIISE Transactions on Computing Practices
Proceedings of the AAAI Conference on Artificial Intelligence
Journal of KIISE
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Several recent papers highlight the scope of their research. Examples include:

"Hypergraph Transformer: Weakly-Supervised Multi-hop Reasoning for Knowledge-based Visual Question Answering" (2022), published in Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
"DramaQA: Character-Centered Video Story Understanding with Hierarchical QA" (2021), published in Proceedings of the AAAI Conference on Artificial Intelligence
"Introducing the Ko Corpus of Korean Mother-Child Interaction" (2020), published in Frontiers in Psychology
"Improving Robustness to Texture Bias via Shape-focused Augmentation" (2022), published in 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
"From Scratch to Sketch: Deep Decoupled Hierarchical Reinforcement Learning for Robotic Sketching Agent" (2022), published in 2022 International Conference on Robotics and Automation (ICRA)

The scientist frequently collaborates with other researchers, with notable co-authors including Yu-Jung Heo, Gi-Cheon Kang, Seong-Ho Choi, Youwon Jang, and Minsu Lee. These collaborations have contributed to various aspects of their research domains.

Best Publications

Molecular Basis for the Recognition of Primary microRNAs by the Drosha-DGCR8 Complex

Jinju Han;Yoontae Lee;Kyu Hyeon Yeom;Jin Wu Nam

2133
Citations
Bilinear Attention Networks

Jin-Hwa Kim;Jaehyun Jun;Byoung-Tak Zhang

622
Citations
Hadamard Product for Low-rank Bilinear Pooling

Jin-Hwa Kim;Kyoung Woon On;Woosang Lim;Jeonghee Kim

586
Citations
Overcoming Catastrophic Forgetting by Incremental Moment Matching

Sang-Woo Lee;Jin-Hwa Kim;Jaehyun Jun;Jung-Woo Ha

487
Citations
Balancing accuracy and parsimony in genetic programming

Byoung-Tak Zhang;Heinz Mühlenbein

344
Citations
Multiobjective evolutionary optimization of DNA sequences for reliable DNA computing

Soo-Yong Shin;In-Hee Lee;Dongmin Kim;Byoung-Tak Zhang

310
Citations
miTarget: microRNA target gene prediction using a support vector machine

Sung Kyu Kim;Jin Wu Nam;Je Keun Rhee;Wha Jin Lee

300
Citations
Multimodal Residual Learning for Visual QA

Jin-Hwa Kim;Sang-Woo Lee;Donghyun Kwak;Min-Oh Heo

280
Citations
Hypernetworks: A Molecular Evolutionary Architecture for Cognitive Learning and Memory

Byoung-Tak Zhang

218
Citations
Solving traveling salesman problems with DNA molecules encoding numerical values

Ji Youn Lee;Soo-Yong Shin;Tai Hyun Park;Byoung-Tak Zhang

199
Citations
Evolving Optimal Neural Networks Using Genetic Algorithms with Occam's Razor.

Byoung-Tak Zhang;Heinz Mühlenbein

195
Citations
Generative Local Metric Learning for Nearest Neighbor Classification

Yung-Kyun Noh;Byoung-Tak Zhang;Daniel D. Lee

183
Citations
Discovery of microRNA–mRNA modules via population-based probabilistic learning

Je-Gun Joung;Kyu-Baek Hwang;Jin-Wu Nam;Soo-Jin Kim

177
Citations
DeepStory: video story QA by deep embedded memory networks

Kyung-Min Kim;Min-Oh Heo;Seong-Ho Choi;Byoung-Tak Zhang

174
Citations
AptaCDSS-E: A classifier ensemble-based clinical decision support system for cardiovascular disease level prediction

Jae-Hong Eom;Sung-Chun Kim;Byoung-Tak Zhang

174
Citations
Learning user's preferences by analyzing Web-browsing behaviors

Young-Woo Seo;Byoung-Tak Zhang

132
Citations
A reinforcement learning agent for personalized information filtering

Young-Woo Seo;Byoung-Tak Zhang

129
Citations
& PERSONALIZED WEB- DOCUMENT FILTERING USING REINFORCEMENT LEARNING

Byoung-Tak Zhang;Young-Woo Seo

129
Citations
Evolutionary induction of sparse neural trees

Byoung-Tak Zhang;Peter Ohm;Heinz Mühlenbein

129
Citations
Identification of biochemical networks by S-tree based genetic programming

Dong-Yeon Cho;Kwang-Hyun Cho;Byoung-Tak Zhang

125
Citations

Frequent Co-Authors

Heinz Mühlenbein Fraunhofer Institute for Intelligent Analysis and Information Systems

Yuandong Tian Facebook (United States)

Dhruv Batra Georgia Institute of Technology

Mehmet A. Orgun Macquarie University

Devi Parikh Facebook (United States)

V. Narry Kim Seoul National University

Wi Hoon Jung University of Pennsylvania

Gordon Cheng Technical University of Munich

Jeong-Sun Seo Seoul National University Bundang Hospital

Zhangjun Fei Cornell University

External Links

Personal website of Byoung-Tak Zhang Google Scholar page

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