(underline: corresponding author)
1. Yuna Park, Hwang Youn Kim, Yujin Kim, Won Woo Ro, Suhyun Kim, Jae-In Hwang: “The Fragility of Jailbreak Robustness Across Operational States.” EMNLP(Findings) (2026)
2. Hyunsoo Kim, Jungmyung Wi, Soobin Um, Donghyun Kim, Suhyun Kim: “Self-Improving Diffusion Classifiers with Minority Preference Optimization.” ECCV (2026)
3. Jeongha Lee, Yujin Kim, Ghazanfar Ali, Suhyun Kim, Jae-In Hwang: “Through Van Gogh’s Eyes: Global Style Transfer with Diffusion Model.” ECCV (2026)
4. Wonjun Lee, Haon Park, Doehyeon Lee, Bumsub Ham, Suhyun Kim: “Jailbreaking on Text-to-Video Models via Scene Splitting Strategy.” ICLR (2026)
5. Mincheol Park, Heeji Won, Won Woo Ro, Suhyun Kim: “Rethinking Entropy in Test-Time Adaptation: The Missing Piece from Energy Duality.” NeurIPS (2025)
6. Jinwoo Lim, Suhyun Kim, Soo-Mook Moon: “Shortcut Features as Top Eigenfunctions of NTK: A Linear Neural Network Case and More.” NeurIPS (2025)
7. Mincheol Park, Cheonjun Park, Seungseop Lim, Mijin Koo, Hyunwuk Lee, Won Woo Ro, Suhyun Kim: “Adversarial Purification via Super-Resolution and Diffusion.” ICCV (2025)
8. Cheonjun Park, Hyun Jae Oh, Mincheol Park, Hyunchan Moon, Minsik Kim, Suhyun Kim, Myung Kuk Yoon, Won Woo Ro: “WINS: Winograd Structured Pruning for Fast Winograd Convolution.” ICCV (2025)
9. Mincheol Park, Woojeong Kim, Junsik Bang, Yuna Park, Won Woo Ro, Suhyun Kim: “Perspective Shifts: Cultivating Teacher Diversity in Online Knowledge Distillation.” Knowledge-Based Systems (IF 7.2, 2025)
10. Junwoo Ha, Hyunjun Kim, Sangyoon Yu, Haon Park, Ashkan Yousefpour, Yuna Park, Suhyun Kim: “One-Shot is Enough: Consolidating Multi-Turn Attacks into Efficient Single-Turn Prompts for LLMs.” ACL (2025)
11. Yujin Kim, Hyunsoo Kim, Hyunwoo J. Kim, Suhyun Kim: “When Model Knowledge meets Diffusion Model: Diffusion-assisted Data-free Image Synthesis with Alignment of Domain and Class.” ICML (2025)
12. Wonjun Lee, Doehyeon Lee, Eugene Choi, Sangyoon Yu, Ashkan Yousefpour, Haon Park, Bumsub Ham, Suhyun Kim: “ELITE: Enhanced Language-Image Toxicity Evaluation for Safety.” ICML (2025)
13. Minsoo Kang, Seong-Whan Lee, Suhyun Kim: “Model-Agnostic and Efficient Mixup Augmentation Guided by Saliency Maps.” Transactions on Pattern Analysis and Machine Intelligence (IF 20.8, 2025)
14. Hyunsoo Kim, Donghyun Kim, Suhyun Kim: “Difference Inversion: Interpolate and Isolate the Difference with Token Consistency for Image Analogy Generation.” CVPR (2025)
15. Junsu Kim, Suhyun Kim: “Salient Frequency-aware Exemplar Compression for Resource-constrained Online Continual Learning.” AAAI (2025)
16. Wonjun Lee, Bumsub Ham, Suhyun Kim: “Maximizing the Position Embedding for Vision Transformers with Global Average Pooling.” AAAI (2025)
17. Jinwoo Lim, Suhyun Kim, Soo-Mook Moon: “Convergence Analysis of Federated Learning Methods Using Backward Error Analysis.” AAAI (2025)
18. Cheonjun Park, Mincheol Park, Hyunchan Moon, Myung Kuk Yoon, Seokjin Go, Suhyun Kim, Won Woo Ro: “DEPrune: Depth-wise Separable Convolution Pruning for Maximizing GPU Parallelism.” NeurIPS (2024.12.12)
19. Minsoo Kang, Minkoo Kang, Seong-Whan Lee, Suhyun Kim: “Mixup Mask Adaptation: Bridging the gap between input saliency and representations via attention mechanism in feature mixup.” Image and Vision Computing vol. 146 1-9 (IF 4.2, 2024)
20. Mincheol Park, Dongjin Kim, Cheonjun Park, Yuna Park, Gyeong Eun Gong, Won Woo Ro, Suhyun Kim: “REPrune: Channel Pruning via Kernel Representative Selection.” AAAI (2024)
21. Minsoo Kang, Minkoo Kang, Suhyun Kim: “Catch-Up Mix: Catch-Up Class for Struggling Filters in CNN.” AAAI (2024)
22. Dongjin Kim, Woojeong Kim, Suhyun Kim: “Tanh Works Better with Asymmetry.” NeurIPS (2023)
23. Dogyun Park, Suhyun Kim: “Probabilistic Precision and Recall Towards Reliable Evaluation of Generative Models.” ICCV (2023)
24. Cheonjun Park, Mincheol Park, Hyun Jae Oh, Minkyu Kim, Myung Kuk Yoon, Suhyun Kim, Won Woo Ro: “Balanced Column-Wise Block Pruning for Maximizing GPU Parallelism.” AAAI (2023)
25. Minsoo Kang, Suhyun Kim: “GuidedMixup: An Efficient Mixup Strategy Guided by Saliency Maps.” AAAI (2023)
26. Minjae Kim, Sangyoon Yu, Suhyun Kim, Soo-Mook Moon: “DepthFL : Depthwise Federated Learning for Heterogeneous Clients.” ICLR (2023)
27. Muhammad Irfan Yousuf, Izza Anwer, Ayesha Riasat, Khawaja Tahir Zia, Suhyun Kim: “Windows malware detection based on static analysis with multiple features.” PeerJ Computer Science 9: e1319 1-29 (2023)
28. Muhammad Irfan Yousuf, Suhyun Kim: “Pool Compression for Undirected Graphs.” IEEE Access vol. 10: 58904-58912 (2022)
29. Yujin Kim, Dogyun Park, Dohee Kim, Suhyun Kim: “NaturalInversion: Data-Free Image Synthesis Improving Real-World Consistency.” AAAI (2022)
30. Muhammad Irfan Yousuf, Suhyun Kim: “A generative model for time evolving networks.” Knowledge and Information Systems 63(9): 2347-2363 (2021)
31. Jaehyeok Kim, Taehyeong Park, Hyorin Kim, Suhyun Kim: “Federated Learning for Face Recognition.” ICCE (2021)
32. Woojeong Kim, Suhyun Kim, Mincheol Park, Geunseok Jeon: “Neuron Merging: Compensating for Pruned Neurons.” NeurIPS (2020)
33. Muhammad Irfan Yousuf, Suhyun Kim: “Guided sampling for large graphs.” Data mining and knowledge discovery 34(4): 905-948 (2020)
34. Muhammad Irfan Yousuf, Suhyun Kim: “Generating graphs by creating associative and random links between existing nodes.” Journal of Statistical Physics 179(1): 1-32 (2020)