KDST

KDST는 딥러닝을 중심으로 AI와 데이터에 관련된 여러 주제에 대해서 연구하는 팀입니다.

공지사항

Selected Publications (since 2020)

KDST 2025. 7. 3. 00:50

(underline: corresponding author)

 

1.       Mincheol Park, Heeji Won, Won Woo Ro, Suhyun Kim: “Rethinking Entropy in Test-Time Adaptation: The Missing Piece from Energy Duality.” NeurIPS (2025)

2.      Jinwoo Lim, Suhyun Kim, Soo-Mook Moon: “Shortcut Features as Top Eigenfunctions of NTK: A Linear Neural Network Case and More.” NeurIPS (2025)

3.      Mincheol Park, Cheonjun Park, Seungseop Lim, Mijin Koo, Hyunwuk Lee, Won Woo Ro, Suhyun Kim: “Adversarial Purification via Super-Resolution and Diffusion.” ICCV (2025)

4.      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)

5.      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)

6.      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)

7.       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)

8.      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)

9.      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)

10.    Hyunsoo Kim, Donghyun Kim, Suhyun Kim: “Difference Inversion: Interpolate and Isolate the Difference with Token Consistency for Image Analogy Generation.” CVPR (2025)

11.     Junsu Kim, Suhyun Kim: “Salient Frequency-aware Exemplar Compression for Resource-constrained Online Continual Learning.” AAAI (2025)

12.    Wonjun Lee, Bumsub Ham, Suhyun Kim: “Maximizing the Position Embedding for Vision Transformers with Global Average Pooling.” AAAI (2025)

13.    Jinwoo Lim, Suhyun Kim, Soo-Mook Moon: “Convergence Analysis of Federated Learning Methods Using Backward Error Analysis.” AAAI (2025)

14.    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)

15.    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)

16.    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)

17.    Minsoo Kang, Minkoo Kang, Suhyun Kim: “Catch-Up Mix: Catch-Up Class for Struggling Filters in CNN.” AAAI (2024)

18.    Dongjin Kim, Woojeong Kim, Suhyun Kim: “Tanh Works Better with Asymmetry.” NeurIPS (2023)

19.    Dogyun Park, Suhyun Kim: “Probabilistic Precision and Recall Towards Reliable Evaluation of Generative Models.” ICCV (2023)

20.   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)

21.    Minsoo Kang, Suhyun Kim: “GuidedMixup: An Efficient Mixup Strategy Guided by Saliency Maps.” AAAI (2023)

22.   Minjae Kim, Sangyoon Yu, Suhyun Kim, Soo-Mook Moon: “DepthFL : Depthwise Federated Learning for Heterogeneous Clients.” ICLR (2023)

23.   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)

24.   Muhammad Irfan Yousuf, Suhyun Kim: “Pool Compression for Undirected Graphs.” IEEE Access vol. 10: 58904-58912 (2022)

25.   Yujin Kim, Dogyun Park, Dohee Kim, Suhyun Kim: “NaturalInversion: Data-Free Image Synthesis Improving Real-World Consistency.” AAAI (2022)

26.   Muhammad Irfan Yousuf, Suhyun Kim: “A generative model for time evolving networks.” Knowledge and Information Systems 63(9): 2347-2363 (2021)

27.    Jaehyeok Kim, Taehyeong Park, Hyorin Kim, Suhyun Kim: “Federated Learning for Face Recognition.” ICCE (2021)

28.   Woojeong Kim, Suhyun Kim, Mincheol Park, Geunseok Jeon: “Neuron Merging: Compensating for Pruned Neurons.” NeurIPS (2020)

29.   Muhammad Irfan Yousuf, Suhyun Kim: “Guided sampling for large graphs.” Data mining and knowledge discovery 34(4): 905-948 (2020)

30.   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)