| 2026 | AAAI | CANDI: Curated Test-Time Adaptation for Multivariate Time-Series Anomaly Detection Under Distribution Shift. | HyunGi Kim, Jisoo Mok, Hyungyu Lee, Juhyeon Shin, Sungroh Yoon |
| 2026 | ACL | Still Between Us? Evaluating and Improving Voice Assistant Robustness to Third-Party Interruptions. | Dongwook Lee, Eunwoo Song, Che Hyun Lee, Heeseung Kim, Sungroh Yoon |
| 2026 | ACL | Verbal-R3: Verbal Reranker as the Missing Bridge between Retrieval and Reasoning. | Sangkwon Park, Donghun Kang, Jisoo Mok, Sungroh Yoon |
| 2026 | WACV | Style-Friendly SNR Sampler for Style-Driven Generation. | Jooyoung Choi, Chaehun Shin, Yeongtak Oh, Heeseung Kim, Jungbeom Lee, Sungroh Yoon |
| 2026 | WACV | GDoFS: Gaussian DoF Separation for Plausible 3D Geometry in Sparse-View 3DGS. | Yongsung Kim, Jooyoung Choi, Sungroh Yoon |
| 2026 | WACV | Guiding What Not to Generate: Automated Negative Prompting for Text-Image Alignment. | Sangha Park, Eunji Kim, Yeongtak Oh, Jooyoung Choi, Sungroh Yoon |
| 2026 | WACV | SAVE: Sparse Autoencoder-Driven Visual Information Enhancement for Mitigating Object Hallucination. | Sangha Park, Seungryong Yoo, Jisoo Mok, Sungroh Yoon |
| 2026 | WACV | DCText: Scheduled Attention Masking for Visual Text Generation via Divide-and-Conquer Strategy. | Jaewoo Song, Jooyoung Choi, Kanghyun Baek, Sangyub Lee, Daemin Park, Sungroh Yoon |
| 2025 | AAAI | Battling the Non-stationarity in Time Series Forecasting via Test-time Adaptation. | HyunGi Kim, Siwon Kim, Jisoo Mok, Sungroh Yoon |
| 2025 | AAAI | Disentangled Motion Modeling for Video Frame Interpolation. | Jaihyun Lew, Jooyoung Choi, Chaehun Shin, Dahuin Jung, Sungroh Yoon |
| 2025 | ACL | Does Your Voice Assistant Remember? Analyzing Conversational Context Recall and Utilization in Voice Interaction Models. | Heeseung Kim, Che Hyun Lee, Sangkwon Park, Jiheum Yeom, Nohil Park, Sangwon Yu, Sungroh Yoon |
| 2025 | ACL | EdiText: Controllable Coarse-to-Fine Text Editing with Diffusion Language Models. | Che Hyun Lee, Heeseung Kim, Jiheum Yeom, Sungroh Yoon |
| 2025 | ACL | Exploring the Potential of LLMs as Personalized Assistants: Dataset, Evaluation, and Analysis. | Jisoo Mok, Ik-hwan Kim, Sangkwon Park, Sungroh Yoon |
| 2025 | CVPR | Rethinking Training for De-biasing Text-to-Image Generation: Unlocking the Potential of Stable Diffusion. | Eunji Kim, Siwon Kim, Minjun Park, Rahim Entezari, Sungroh Yoon |
| 2025 | CVPR | Large-Scale Text-to-Image Model with Inpainting is a Zero-Shot Subject-Driven Image Generator. | Chaehun Shin, Jooyoung Choi, Heeseung Kim, Sungroh Yoon |
| 2025 | CVPR | DefectFill: Realistic Defect Generation with Inpainting Diffusion Model for Visual Inspection. | Jaewoo Song, Daemin Park, Kanghyun Baek, Sangyub Lee, Jooyoung Choi, Eunji Kim, Sungroh Yoon |
| 2025 | ICASSP | NanoVoice: Efficient Speaker-Adaptive Text-to-Speech for Multiple Speakers. | Nohil Park, Heeseung Kim, Che Hyun Lee, Jooyoung Choi, Jiheum Yeom, Sungroh Yoon |
| 2025 | ICASSP | VoiceGuider: Enhancing Out-of-Domain Performance in Parameter-Efficient Speaker-Adaptive Text-to-Speech via Autoguidance. | Jiheum Yeom, Heeseung Kim, Jooyoung Choi, Che Hyun Lee, Nohil Park, Sungroh Yoon |
| 2025 | ICCV | Know "No" Better: A Data-Driven Approach for Enhancing Negation Awareness in CLIP. | Junsung Park, Jungbeom Lee, Jongyoon Song, Sangwon Yu, Dahuin Jung, Sungroh Yoon |
| 2025 | ICML | Visual Attention Never Fades: Selective Progressive Attention ReCalibration for Detailed Image Captioning in Multimodal Large Language Models. | Mingi Jung, Saehyung Lee, Eunji Kim, Sungroh Yoon |
| 2025 | ICML | Causality-Aware Contrastive Learning for Robust Multivariate Time-Series Anomaly Detection. | HyunGi Kim, Jisoo Mok, Dongjun Lee, Jaihyun Lew, Sungjae Kim, Sungroh Yoon |
| 2025 | ICML | Toward Robust Hyper-Detailed Image Captioning: A Multiagent Approach and Dual Evaluation Metrics for Factuality and Coverage. | Saehyung Lee, Seunghyun Yoon, Trung Bui, Jing Shi, Sungroh Yoon |
| 2025 | NAACL | Unleashing Multi-Hop Reasoning Potential in Large Language Models through Repetition of Misordered Context. | Sangwon Yu, Ik-hwan Kim, Jongyoon Song, Saehyung Lee, Junsung Park, Sungroh Yoon |
| 2025 | NAACL | Correcting Negative Bias in Large Language Models through Negative Attention Score Alignment. | Sangwon Yu, Jongyoon Song, Bongkyu Hwang, Hoyoung Kang, Sooah Cho, Junhwa Choi, Seongho Joe, Taehee Lee, Youngjune Gwon, Sungroh Yoon |
| 2024 | ACL | Interactive Text-to-Image Retrieval with Large Language Models: A Plug-and-Play Approach. | Saehyung Lee, Sangwon Yu, Junsung Park, Jihun Yi, Sungroh Yoon |
| 2024 | ACL | Controlled Text Generation for Black-box Language Models via Score-based Progressive Editor. | Sangwon Yu, Changmin Lee, Hojin Lee, Sungroh Yoon |
| 2024 | BMVC | ControlDreamer: Blending Geometry and Style in Text-to-3D. | Yeongtak Oh, Jooyoung Choi, Yongsung Kim, Minjun Park, Chaehun Shin, Sungroh Yoon |
| 2024 | CIKM | CKNN: Cleansed k-Nearest Neighbor for Unsupervised Video Anomaly Detection. | Jihun Yi, Sungroh Yoon |
| 2024 | EACL | GrounDial: Human-norm Grounded Safe Dialog Response Generation. | Siwon Kim, Shuyang Dai, Mohammad Kachuee, Shayan Ray, Tara Taghavi, Sungroh Yoon |
| 2024 | EACL | Entity-level Factual Adaptiveness of Fine-tuning based Abstractive Summarization Models. | Jongyoon Song, Nohil Park, Bongkyu Hwang, Jaewoong Yun, Seongho Joe, Youngjune Gwon, Sungroh Yoon |
| 2024 | ECCV | Efficient Diffusion-Driven Corruption Editor for Test-Time Adaptation. | Yeongtak Oh, Jonghyun Lee, Jooyoung Choi, Dahuin Jung, Uiwon Hwang, Sungroh Yoon |
| 2024 | EMNLP | Semantic Token Reweighting for Interpretable and Controllable Text Embeddings in CLIP. | Eunji Kim, Kyuhong Shim, Simyung Chang, Sungroh Yoon |
| 2024 | ICLR | Entropy is not Enough for Test-Time Adaptation: From the Perspective of Disentangled Factors. | Jonghyun Lee, Dahuin Jung, Saehyung Lee, Junsung Park, Juhyeon Shin, Uiwon Hwang, Sungroh Yoon |
| 2024 | ICLR | SF(DA)2: Source-free Domain Adaptation Through the Lens of Data Augmentation. | Uiwon Hwang, Jonghyun Lee, Juhyeon Shin, Sungroh Yoon |
| 2024 | ICLR | DAFA: Distance-Aware Fair Adversarial Training. | Hyungyu Lee, Saehyung Lee, Hyemi Jang, Junsung Park, Ho Bae, Sungroh Yoon |
| 2024 | Interspeech | VoiceTailor: Lightweight Plug-In Adapter for Diffusion-Based Personalized Text-to-Speech. | Heeseung Kim, Sang-gil Lee, Jiheum Yeom, Che Hyun Lee, Sungwon Kim, Sungroh Yoon |
| 2024 | NAACL | LLM-based Frameworks for API Argument Filling in Task-Oriented Conversational Systems. | Jisoo Mok, Mohammad Kachuee, Shuyang Dai, Shayan Ray, Tara Taghavi, Sungroh Yoon |
| 2023 | ACL | Large-scale Lifelong Learning of In-context Instructions and How to Tackle It. | Jisoo Mok, Jaeyoung Do, Sungjin Lee, Tara Taghavi, Seunghak Yu, Sungroh Yoon |
| 2023 | ACL | Model Intrinsic Features of Fine-tuning based Text Summarization Models for Factual Consistency. | Jongyoon Song, Nohil Park, Bongkyu Hwang, Jaewoong Yun, Seongho Joe, Youngjune Gwon, Sungroh Yoon |
| 2023 | ACML | Edit-A-Video: Single Video Editing with Object-Aware Consistency. | Chaehun Shin, Heeseung Kim, Che Hyun Lee, Sang-gil Lee, Sungroh Yoon |
| 2023 | BMVC | MG-MLP: Multi-gated MLP for Restoring Images from Spatially Variant Degradations. | Jaihyun Koh, Jaihyun Lew, Jangho Lee, Sungroh Yoon |
| 2023 | ICLR | New Insights for the Stability-Plasticity Dilemma in Online Continual Learning. | Dahuin Jung, Dongjin Lee, Sunwon Hong, Hyemi Jang, Ho Bae, Sungroh Yoon |
| 2023 | ICLR | BigVGAN: A Universal Neural Vocoder with Large-Scale Training. | Sang-gil Lee, Wei Ping, Boris Ginsburg, Bryan Catanzaro, Sungroh Yoon |
| 2023 | ICML | On the Impact of Knowledge Distillation for Model Interpretability. | Hyeongrok Han, Siwon Kim, Hyun-Soo Choi, Sungroh Yoon |
| 2023 | ICML | Probabilistic Concept Bottleneck Models. | Eunji Kim, Dahuin Jung, Sangha Park, Siwon Kim, Sungroh Yoon |
| 2023 | ICML | Improving Visual Prompt Tuning for Self-supervised Vision Transformers. | Seungryong Yoo, Eunji Kim, Dahuin Jung, Jungbeom Lee, Sungroh Yoon |
| 2023 | Interspeech | UnitSpeech: Speaker-adaptive Speech Synthesis with Untranscribed Data. | Heeseung Kim, Sungwon Kim, Jiheum Yeom, Sungroh Yoon |
| 2022 | AAAI | Towards a Rigorous Evaluation of Time-Series Anomaly Detection. | Siwon Kim, Kukjin Choi, Hyun-Soo Choi, Byunghan Lee, Sungroh Yoon |
| 2022 | ACL | Rare Tokens Degenerate All Tokens: Improving Neural Text Generation via Adaptive Gradient Gating for Rare Token Embeddings. | Sangwon Yu, Jongyoon Song, Heeseung Kim, Seongmin Lee, Woo-Jong Ryu, Sungroh Yoon |
| 2022 | AsiaCCS | Membership Feature Disentanglement Network. | Heonseok Ha, Jaehee Jang, Yonghyun Jeong, Sungroh Yoon |
| 2022 | AsiaCCS | Privacy-Preserving Deep Sequential Model with Matrix Homomorphic Encryption. | Jaehee Jang, Younho Lee, Andrey Kim, Byunggook Na, Donggeon Yhee, Byounghan Lee, Jung Hee Cheon, Sungroh Yoon |
| 2022 | BMVC | Membership Privacy-Preserving GAN. | Heonseok Ha, Uiwon Hwang, Jaehee Jang, Ho Bae, Sungroh Yoon |
| 2022 | CVPR | Perception Prioritized Training of Diffusion Models. | Jooyoung Choi, Jungbeom Lee, Chaehun Shin, Sungwon Kim, Hyunwoo Kim, Sungroh Yoon |
| 2022 | CVPR | Bridging the Gap between Classification and Localization for Weakly Supervised Object Localization. | Eunji Kim, Siwon Kim, Jungbeom Lee, Hyunwoo Kim, Sungroh Yoon |
| 2022 | CVPR | BNUDC: A Two-Branched Deep Neural Network for Restoring Images from Under-Display Cameras. | Jaihyun Koh, Jangho Lee, Sungroh Yoon |
| 2022 | CVPR | Weakly Supervised Semantic Segmentation using Out-of-Distribution Data. | Jungbeom Lee, Seong Joon Oh, Sangdoo Yun, Junsuk Choe, Eunji Kim, Sungroh Yoon |
| 2022 | CVPR | Demystifying the Neural Tangent Kernel from a Practical Perspective: Can it be trusted for Neural Architecture Search without training? | Jisoo Mok, Byunggook Na, Ji-Hoon Kim, Dongyoon Han, Sungroh Yoon |
| 2022 | ICLR | Stein Latent Optimization for Generative Adversarial Networks. | Uiwon Hwang, Heeseung Kim, Dahuin Jung, Hyemi Jang, Hyungyu Lee, Sungroh Yoon |
| 2022 | ICLR | PriorGrad: Improving Conditional Denoising Diffusion Models with Data-Dependent Adaptive Prior. | Sang-gil Lee, Heeseung Kim, Chaehun Shin, Xu Tan, Chang Liu, Qi Meng, Tao Qin, Wei Chen, Sungroh Yoon, Tie-Yan Liu |
| 2022 | ICML | Confidence Score for Source-Free Unsupervised Domain Adaptation. | Jonghyun Lee, Dahuin Jung, Junho Yim, Sungroh Yoon |
| 2022 | ICML | Prediction of Mortality and Intervention in COVID-19 Patients Using Generative Adversarial Networks. | Uiwon Hwang, Euideuk Hwang, Minsoo Kang, Sungroh Yoon |
| 2022 | ICML | Guided-TTS: A Diffusion Model for Text-to-Speech via Classifier Guidance. | Heeseung Kim, Sungwon Kim, Sungroh Yoon |
| 2022 | ICML | Dataset Condensation with Contrastive Signals. | Saehyung Lee, Sanghyuk Chun, Sangwon Jung, Sangdoo Yun, Sungroh Yoon |
| 2022 | ICML | AutoSNN: Towards Energy-Efficient Spiking Neural Networks. | Byunggook Na, Jisoo Mok, Seongsik Park, Dongjin Lee, Hyeokjun Choe, Sungroh Yoon |
| 2022 | ICPP | FedClassAvg: Local Representation Learning for Personalized Federated Learning on Heterogeneous Neural Networks. | Jaehee Jang, Heonseok Ha, Dahuin Jung, Sungroh Yoon |
| 2021 | BMVC | Variance-stationary Differentiable NAS. | Hyeokjun Choe, Byunggook Na, Jisoo Mok, Sungroh Yoon |
| 2021 | CVPR | XProtoNet: Diagnosis in Chest Radiography With Global and Local Explanations. | Eunji Kim, Siwon Kim, Minji Seo, Sungroh Yoon |
| 2021 | CVPR | Anti-Adversarially Manipulated Attributions for Weakly and Semi-Supervised Semantic Segmentation. | Jungbeom Lee, Eunji Kim, Sungroh Yoon |
| 2021 | CVPR | BBAM: Bounding Box Attribution Map for Weakly Supervised Semantic and Instance Segmentation. | Jungbeom Lee, Jihun Yi, Chaehun Shin, Sungroh Yoon |
| 2021 | DAC | Noise-Robust Deep Spiking Neural Networks with Temporal Information. | Seongsik Park, Dongjin Lee, Sungroh Yoon |
| 2021 | EMNLP | AligNART: Non-autoregressive Neural Machine Translation by Jointly Learning to Estimate Alignment and Translate. | Jongyoon Song, Sungwon Kim, Sungroh Yoon |
| 2021 | ICCV | ILVR: Conditioning Method for Denoising Diffusion Probabilistic Models. | Jooyoung Choi, Sungwon Kim, Yonghyun Jeong, Youngjune Gwon, Sungroh Yoon |
| 2021 | ICCV | Toward Spatially Unbiased Generative Models. | Jooyoung Choi, Jungbeom Lee, Yonghyun Jeong, Sungroh Yoon |
| 2021 | ICCV | AdvRush: Searching for Adversarially Robust Neural Architectures. | Jisoo Mok, Byunggook Na, Hyeokjun Choe, Sungroh Yoon |
| 2021 | ICIP | Personalized Face Authentication Based On Few-Shot Meta-Learning. | Chaehun Shin, Jangho Lee, Byunggook Na, Sungroh Yoon |
| 2021 | ICLR | Removing Undesirable Feature Contributions Using Out-of-Distribution Data. | Saehyung Lee, Changhwa Park, Hyungyu Lee, Jihun Yi, Jonghyun Lee, Sungroh Yoon |
| 2021 | IJCAI | Accelerating Neural Architecture Search via Proxy Data. | Byunggook Na, Jisoo Mok, Hyeokjun Choe, Sungroh Yoon |
| 2020 | AAAI | Spiking-YOLO: Spiking Neural Network for Energy-Efficient Object Detection. | Sei Joon Kim, Seongsik Park, Byunggook Na, Sungroh Yoon |
| 2020 | ACCV | Patch SVDD: Patch-Level SVDD for Anomaly Detection and Segmentation. | Jihun Yi, Sungroh Yoon |
| 2020 | CVPR | Adversarial Vertex Mixup: Toward Better Adversarially Robust Generalization. | Saehyung Lee, Hyungyu Lee, Sungroh Yoon |
| 2020 | DAC | T2FSNN: Deep Spiking Neural Networks with Time-to-first-spike Coding. | Seongsik Park, Sei Joon Kim, Byunggook Na, Sungroh Yoon |
| 2020 | DATE | Energy-aware Placement for SRAM-NVM Hybrid FPGAs. | Seongsik Park, Jongwan Kim, Sungroh Yoon |
| 2020 | ECCV | iCaps: An Interpretable Classifier via Disentangled Capsule Networks. | Dahuin Jung, Jonghyun Lee, Jihun Yi, Sungroh Yoon |
| 2020 | EMNLP | Interpretation of NLP models through input marginalization. | Siwon Kim, Jihun Yi, Eunji Kim, Sungroh Yoon |
| 2020 | PSB | AnomiGAN: Generative Adversarial Networks for Anonymizing Private Medical Data. | Ho Bae, Dahuin Jung, Hyun-Soo Choi, Sungroh Yoon |
| 2019 | BMVC | Mutual Suppression Network for Video Prediction using Disentangled Features. | Jungbeom Lee, Jangho Lee, Sungmin Lee, Sungroh Yoon |
| 2019 | CVPR | FickleNet: Weakly and Semi-Supervised Semantic Image Segmentation Using Stochastic Inference. | Jungbeom Lee, Eunji Kim, Sungmin Lee, Jangho Lee, Sungroh Yoon |
| 2019 | DAC | Fast and Efficient Information Transmission with Burst Spikes in Deep Spiking Neural Networks. | Seongsik Park, Sei Joon Kim, Hyeokjun Choe, Sungroh Yoon |
| 2019 | DATE | Real-Time Anomalous Branch Behavior Inference with a GPU-inspired Engine for Machine Learning Models. | Hyunyoung Oh, Hayoon Yi, Hyeokjun Choe, Yeongpil Cho, Sungroh Yoon, Yunheung Paek |
| 2019 | DATE | Energy-Efficient Inference Accelerator for Memory-Augmented Neural Networks on an FPGA. | Seongsik Park, Jaehee Jang, Sei Joon Kim, Sungroh Yoon |
| 2019 | ICCV | Frame-to-Frame Aggregation of Active Regions in Web Videos for Weakly Supervised Semantic Segmentation. | Jungbeom Lee, Eunji Kim, Sungmin Lee, Jangho Lee, Sungroh Yoon |
| 2019 | ICML | HexaGAN: Generative Adversarial Nets for Real World Classification. | Uiwon Hwang, Dahuin Jung, Sungroh Yoon |
| 2019 | ICML | FloWaveNet : A Generative Flow for Raw Audio. | Sungwon Kim, Sang-gil Lee, Jongyoon Song, Jaehyeon Kim, Sungroh Yoon |
| 2019 | PSB | DNA Steganalysis Using Deep Recurrent Neural Networks. | Ho Bae, Byunghan Lee, Sunyoung Kwon, Sungroh Yoon |
| 2018 | AAAI | Quantized Memory-Augmented Neural Networks. | Seongsik Park, Sei Joon Kim, Seil Lee, Ho Bae, Sungroh Yoon |
| 2018 | AMIA | Breast cancer recurrence data preparation and prediction algorithm development. | Borim Ryu, Sungwoon Choi, Sehyun Kim, Sooyoung Yoo, Sungroh Yoon, Jeong-Whun Kim |
| 2018 | MICCAI | Liver Lesion Detection from Weakly-Labeled Multi-phase CT Volumes with a Grouped Single Shot MultiBox Detector. | Sang-gil Lee, Jae Seok Bae, Hyunjae Kim, Jung Hoon Kim, Sungroh Yoon |
| 2017 | AAAI | Transfer Learning for Deep Learning on Graph-Structured Data. | Jaekoo Lee, Hyunjae Kim, Jongsun Lee, Sungroh Yoon |
| 2016 | ICCD | CloudSocket: Smart grid platform for datacenters. | Seil Lee, Hanjoo Kim, Seongsik Park, Sei Joon Kim, Hyeokjun Choe, Chang-Sung Jeong, Sungroh Yoon |
| 2016 | ICDE | Mining internet media for monitoring changes of public emotions about infectious diseases. | Sungwoon Choi, Jangho Lee, Sangheon Pack, Yoon-Seok Chang, Sungroh Yoon |
| 2016 | ICDE | Collaborative analytics for data silos. | Jinkyu Kim, Heonseok Ha, Byung-Gon Chun, Sungroh Yoon, Sang K. Cha |
| 2015 | ICDM | Measuring Large-Scale Dynamic Graph Similarity by RICom: RWR with Intergraph Compression. | Jaekoo Lee, Gunn Kim, Sungroh Yoon |
| 2015 | ICML | Boosted Categorical Restricted Boltzmann Machine for Computational Prediction of Splice Junctions. | Taehoon Lee, Sungroh Yoon |
| 2014 | SIMULTECH | Analytical model of SSD parallelism. | Jinsoo Yoo, Youjip Won, Sooyong Kang, Jongmoo Choi, Sungroh Yoon, Jaehyuk Cha |
| 2012 | ICDM | Rapid and Robust Denoising of Pyrosequenced Amplicons for Metagenomics. | Byunghan Lee, Joonhong Park, Sungroh Yoon |
| 2010 | DATE | Exploiting multiple switch libraries in topology synthesis of on-chip interconnection network. | Minje Jun, Sungroh Yoon, Eui-Young Chung |
| 2006 | ISCC | Mining Gene Sets for Measuring Similarities. | Christine Nardini, Daniele Masotti, Sungroh Yoon, Enrico Macii, Michael D. Kuo, Giovanni De Micheli, Luca Benini |
| 2005 | ECCB | Prediction of regulatory modules comprising microRNAs and target genes. | Sungroh Yoon, Giovanni De Micheli |
| 2004 | BIBE | Enhanced pClustering and Its Applications to Gene Expression Data. | Sungroh Yoon, Christine Nardini, Luca Benini, Giovanni De Micheli |