Kim, Sunghun

StarGAN: Unified Generative Adversarial Networks for Multi-domain Image-to-Image Translation

Choi, Y., Choi, M., Kim, M., Ha, J.-W., Kim, S., & Choo, J. (2018) · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition

Generative Adversarial Networks and Image SynthesisDomain Adaptation and Few-Shot Learning

Cited by 4,163

A survey on large language models for code generation

Jiang, J., Wang, F., Shen, J., Kim, S., & Kim, S. (2024) · arXiv

Software Engineering ResearchTopic Modeling

Cited by 257

A Survey on Large Language Models for Code Generation

Jiang, J., Wang, F., Shen, J., Kim, S., & Kim, S. (2026) · ACM Transactions on Software Engineering and Methodology

Software Engineering ResearchTopic Modeling

Cited by 251

A Survey on Mixture of Experts

Cai, W., Jiang, J., Wang, F., Tang, J., Kim, S., & Huang, J. (2024)

Advanced Neural Network ApplicationsTopic Modeling

Cited by 92

ReflexiCoder: Teaching Large Language Models to Self-Reflect on Generated Code and Self-Correct It via Reinforcement Learning

Jiang, J., Shen, J., Kim, S., Yoo, K. M., Kim, J., & Kim, S. (2026) · arXiv

Software Engineering ResearchTeaching and Learning Programming

Cited by 8

DTRec: Learning Dynamic Reasoning Trajectories for Sequential Recommendation

Shao, Y., Zhou, P., Wang, S., Zhang, W., Cai, X., & Kim, S. (2025) · arXiv

Recommender Systems and TechniquesInformation Retrieval and Search Behavior

Cited by 0

DTRec: Learning Dynamic Reasoning Trajectories for Sequential Recommendation

Shao, Y., Zhou, P., Wang, S., Zhang, W., Kim, S., & Cai, X. (2026) · Proceedings of the ACM Web Conference 2026

Recommender Systems and TechniquesInformation Retrieval and Search Behavior

Cited by 0