OSoMe: The IUNI observatory on social media. - Clayton A. Davis; Giovanni Luca Ciampaglia; Luca Maria Aiello; Keychul Chung; Michael D. Conover; Emilio Ferrara; Alessandro Flammini; Geoffrey Charles Fox; Xiaoming Gao; Bruno Gonçalves; Przemyslaw A. Grabowicz; Kibeom Hong; et al. (PeerJ Prepr., 2016)

EZSL-GAN: EEG-based Zero-Shot Learning approach using a Generative Adversarial Network. - Sunhee Hwang; Kibeom Hong; Guiyoung Son; Hyeran Byun (BCI, 2019)

Subject-Independent EEG-based Emotion Recognition using Adversarial Learning. - Sunhee Hwang; Minsong Ki; Kibeom Hong; Hyeran Byun (BCI, 2020)

Learning CNN features from DE features for EEG-based emotion recognition. - Sunhee Hwang; Kibeom Hong; Guiyoung Son; Hyeran Byun (Pattern Anal. Appl., 2020)

Continuous Face Aging Generative Adversarial Networks. - Seogkyu Jeon; Pilhyeon Lee; Kibeom Hong; Hyeran Byun (ICASSP, 2021)

Domain-Aware Universal Style Transfer. - Kibeom Hong; Seogkyu Jeon; Huan Yang 005; Jianlong Fu; Hyeran Byun (ICCV, 2021)

Feature Stylization and Domain-aware Contrastive Learning for Domain Generalization. - Seogkyu Jeon; Kibeom Hong; Pilhyeon Lee; Jewook Lee; Hyeran Byun (ACM Multimedia, 2021)

ArrowGAN : Learning to generate videos by learning Arrow of Time. - Kibeom Hong; Youngjung Uh; Hyeran Byun (Neurocomputing, 2021)

The feature generator of hard negative samples for fine-grained image recognition. - Taehung Kim; Kibeom Hong; Hyeran Byun (Neurocomputing, 2021)

Exploiting domain transferability for collaborative inter-level domain adaptive object detection. - Mirae Do; Seogkyu Jeon; Pilhyeon Lee; Kibeom Hong; Yu-Seung Ma; Hyeran Byun (Expert Syst. Appl., 2022)

Interactive Cartoonization with Controllable Perceptual Factors. - Namhyuk Ahn; Patrick Kwon; Jihye Back; Kibeom Hong; Seungkwon Kim (CVPR, 2023)

AesPA-Net: Aesthetic Pattern-Aware Style Transfer Networks. - Kibeom Hong; Seogkyu Jeon; Junsoo Lee; Namhyuk Ahn; Kunhee Kim; Pilhyeon Lee; Daesik Kim; Youngjung Uh; Hyeran Byun (ICCV, 2023)

Improving Diversity in Zero-Shot GAN Adaptation with Semantic Variations. - Seogkyu Jeon; Bei Liu 001; Pilhyeon Lee; Kibeom Hong; Jianlong Fu; Hyeran Byun (ICCV, 2023)

DiffBlender: Scalable and Composable Multimodal Text-to-Image Diffusion Models. - Sungnyun Kim; Junsoo Lee; Kibeom Hong; Daesik Kim; Namhyuk Ahn (CoRR, 2023)

DreamStyler: Paint by Style Inversion with Text-to-Image Diffusion Models. - Namhyuk Ahn; Junsoo Lee; Chunggi Lee; Kunhee Kim; Daesik Kim; Seung-Hun Nam; Kibeom Hong (AAAI, 2024)

ConTEXTure: Consistent Multiview Images to Texture. - Jaehoon Ahn; Sumin Cho; Harim Jung; Kibeom Hong; Seonghoon Ban; Moon-Ryul Jung (CoRR, 2024)

Accurate Single Image to 3D Using View-Specific Neural Renderer. - U.-Chae Jun; Jaeeun Ko; Kibeom Hong (J. Multim. Inf. Syst., 2024)

AI-Based Framework for Classifying Cryptocurrency Exchanges through Transaction Feature Analysis. - Won-Woong Kim; Soo-Oh Yang; Jaejun Lee; Byung Wan Suh; Joonhong Kim; Sang-Yong Kang; Kibeom Hong (ICBC, 2025)

GC-Fed: Gradient Centralized Federated Learning with Partial Client Participation. - Jungwon Seo; Ferhat Özgür Çatak; Chunming Rong; Kibeom Hong; Minhoe Kim (CoRR, 2025)