Eunho Yang - RankMe

215 papers A* 68A 7B 1C 2Misc 4Journal 109Unranked 24

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Argument Reconstruction as Supervision for Critical Thinking in LLMs. CoRR Hyun Ryu, Gyouk Chu, Gregor Betz, Eunho Yang, Carolyn Rose, Sean Welleck
2026	J	`jnl`	Discounted Beta-Bernoulli Reward Estimation for Sample-Efficient Reinforcement Learning with Verifiable Rewards. CoRR Haechan Kim, Soohyun Ryu, Gyouk Chu, Doohyuk Jang, Eunho Yang
2026	—	`conf`	Evaluating the Pre-Consultation Ability of LLMs using Diagnostic Guidelines. EACL (Industry Track) Jean Seo, Gibaeg Kim, Kihun Shin, Seungseop Lim, Hyunkyung Lee, Wooseok Han, Jongwon Lee, Eunho Yang
2026	J	`jnl`	Evaluating the Pre-Consultation Ability of LLMs using Diagnostic Guidelines. CoRR Jean Seo, Gibaeg Kim, Kihun Shin, Seungseop Lim, Hyunkyung Lee, Wooseok Han, Jongwon Lee, Eunho Yang
2026	J	`jnl`	Integrating Multimodal Large Language Model Knowledge into Amodal Completion. CoRR Heecheol Yun, Eunho Yang
2026	J	`jnl`	Structure-Aware Set Transformers: Temporal and Variable-Type Attention Biases for Asynchronous Clinical Time Series. CoRR Joohyung Lee, Kwanhyung Lee, Changhun Kim, Eunho Yang
2025	—	`conf`	A 321-Layer 2Tb 4b/cell 3D-NAND-Flash Memory with a 75MB/s Program Throughput. ISSCC Wanik Cho, Chanhui Jeong, Jongwoo Kim, Jongseok Jung, Keunseon Ahn, Jayoon Goo, Sangkyu Lee, Kayoung Cho, Tei Cho, Dauni Kim, Gwan Park, Yushin Ahn, Sooyeol Chai, Gwihan Ko, Sunyoung Jung, Eunwoo Jo, Taehun Park, Jinhyun Ban, Cheoljoong Park, Jae Hyun Park, Sanghoon Oh, Sojin Jeong, Youngjun Kwak, Kyungsoo Jeong, Jinyeop Kim, Minchol Shin, Eunho Yang, Taisik Shin, Youngil Kim, Jiseong Mun, Chanyang Ryu, Huihyeon Park, Changwan Ha, Jong Tai Park, Peng Zhang, Sooyong Park, Rezaul Haque, Hang Tian, Sunghwa Ok, Wonbeom Choi, Junyoun Lim, Dongkyu Yoon, Sechun Park, Wonsun Park, Kichang Gwon, Seungpil Lee, Hwang Huh, Woopyo Jeong, Jungdal Choi
2025	J	`jnl`	Accelerating Vision Transformers with Adaptive Patch Sizes. CoRR Rohan Choudhury, Jungeun Kim, Jinhyung Park, Eunho Yang, László A. Jeni, Kris M. Kitani
2025	J	`jnl`	Co-Evolving Agents: Learning from Failures as Hard Negatives. CoRR Yeonsung Jung, Trilok Padhi, Sina Shaham, Dipika Khullar, Joonhyun Jeong, Ninareh Mehrabi, Eunho Yang
2025	J	`jnl`	Delta-XAI: A Unified Framework for Explaining Prediction Changes in Online Time Series Monitoring. CoRR Changhun Kim, Yechan Mun, Hyeongwon Jang, Eunseo Lee, Sangchul Hahn, Eunho Yang
2025	J	`jnl`	DeltaSHAP: Explaining Prediction Evolutions in Online Patient Monitoring with Shapley Values. CoRR Changhun Kim, Yechan Mun, Sangchul Hahn, Eunho Yang
2025	A*	`conf`	Divide and Translate: Compositional First-Order Logic Translation and Verification for Complex Logical Reasoning. ICLR Hyun Ryu, Gyeongman Kim, Hyemin S. Lee, Eunho Yang
2025	J	`jnl`	EMR-AGENT: Automating Cohort and Feature Extraction from EMR Databases. CoRR Kwanhyung Lee, Sungsoo Hong, Joonhyung Park, Jeonghyeop Lim, Juhwan Choi, Donghwee Yoon, Eunho Yang
2025	J	`jnl`	Early Timestep Zero-Shot Candidate Selection for Instruction-Guided Image Editing. CoRR Joowon Kim, Ziseok Lee, Donghyeon Cho, Sanghyun Jo, Yeonsung Jung, Kyungsu Kim, Eunho Yang
2025	J	`jnl`	Every Expert Matters: Towards Effective Knowledge Distillation for Mixture-of-Experts Language Models. CoRR Gyeongman Kim, Gyouk Chu, Eunho Yang
2025	Misc	`conf`	Face-StyleSpeech: Enhancing Zero-shot Speech Synthesis from Face Images with Improved Face-to-Speech Mapping. ICASSP Minki Kang, Wooseok Han, Eunho Yang
2025	—	`conf`	Format Inertia: A Failure Mechanism of LLMs in Medical Pre-Consultation. EMNLP (Industry Track) Seungseop Lim, Gibaeg Kim, Wooseok Han, Jean Seo, Hyunkyung Lee, Jaehyo Yoo, Eunho Yang
2025	J	`jnl`	Format Inertia: A Failure Mechanism of LLMs in Medical Pre-Consultation. CoRR Seungseop Lim, Gibaeg Kim, Wooseok Han, Jean Seo, Hyunkyung Lee, Jaehyo Yoo, Eunho Yang
2025	J	`jnl`	H-DDx: A Hierarchical Evaluation Framework for Differential Diagnosis. CoRR Seungseop Lim, Gibaeg Kim, Hyunkyung Lee, Wooseok Han, Jean Seo, Jaehyo Yoo, Eunho Yang
2025	J	`jnl`	HybridLinker: Topology-Guided Posterior Sampling for Enhanced Diversity and Validity in 3D Molecular Linker Generation. CoRR Mi-Nyeong Hwang, Ziseok Lee, Kwang-Soo Kim, Kyungsu Kim, Eunho Yang
2025	J	`jnl`	Instruction-Guided Lesion Segmentation for Chest X-rays with Automatically Generated Large-Scale Dataset. CoRR Geon Choi, Hangyul Yoon, Hyunju Shin, Hyunki Park, Sang Hoon Seo, Eunho Yang, Edward Choi
2025	J	`jnl`	LANTERN++: Enhanced Relaxed Speculative Decoding with Static Tree Drafting for Visual Auto-regressive Models. CoRR Sihwan Park, Doohyuk Jang, Sungyub Kim, Souvik Kundu, Eunho Yang
2025	A*	`conf`	LANTERN: Accelerating Visual Autoregressive Models with Relaxed Speculative Decoding. ICLR Doohyuk Jang, Sihwan Park, June Yong Yang, Yeonsung Jung, Jihun Yun, Souvik Kundu, Sungyub Kim, Eunho Yang
2025	—	`conf`	LRQ: Optimizing Post-Training Quantization for Large Language Models by Learning Low-Rank Weight-Scaling Matrices. NAACL (Long Papers) Jung Hyun Lee, Jeonghoon Kim, June Yong Yang, Se Jung Kwon, Eunho Yang, Kang Min Yoo, Dongsoo Lee
2025	J	`jnl`	Meta-Awareness Enhances Reasoning Models: Self-Alignment Reinforcement Learning. CoRR Yoonjeon Kim, Doohyuk Jang, Eunho Yang
2025	J	`jnl`	No Prompt Left Behind: Exploiting Zero-Variance Prompts in LLM Reinforcement Learning via Entropy-Guided Advantage Shaping. CoRR Thanh-Long V. Le, Myeongho Jeon, Kim Vu, Viet Lai, Eunho Yang
2025	J	`jnl`	On the Collapse of Generative Paths: A Criterion and Correction for Diffusion Steering. CoRR Ziseok Lee, Minyeong Hwang, Sanghyun Jo, Wooyeol Lee, Jihyung Ko, Young Bin Park, Jae-Mun Choi, Eunho Yang, Kyungsu Kim
2025	A*	`conf`	Playing the Fool: Jailbreaking LLMs and Multimodal LLMs with Out-of-Distribution Strategy. CVPR Joonhyun Jeong, Seyun Bae, Yeonsung Jung, Jaeryong Hwang, Eunho Yang
2025	J	`jnl`	Playing the Fool: Jailbreaking LLMs and Multimodal LLMs with Out-of-Distribution Strategy. CoRR Joonhyun Jeong, Seyun Bae, Yeonsung Jung, Jaeryong Hwang, Eunho Yang
2025	A*	`conf`	Preserve or Modify? Context-Aware Evaluation for Balancing Preservation and Modification in Text-Guided Image Editing. CVPR Yoonjeon Kim, Soohyun Ryu, Yeonsung Jung, Hyunkoo Lee, Joowon Kim, June Yong Yang, Jaeryong Hwang, Eunho Yang
2025	J	`jnl`	Progress by Pieces: Test-Time Scaling for Autoregressive Image Generation. CoRR Joonhyung Park, Hyeongwon Jang, Joowon Kim, Eunho Yang
2025	A*	`conf`	REBIND: Enhancing Ground-state Molecular Conformation Prediction via Force-Based Graph Rewiring. ICLR Taewon Kim, Hyunjin Seo, Sungsoo Ahn, Eunho Yang
2025	J	`jnl`	Reasoning Model is Stubborn: Diagnosing Instruction Overriding in Reasoning Models. CoRR Doohyuk Jang, Yoonjeon Kim, Chanjae Park, Hyun Ryu, Eunho Yang
2025	J	`jnl`	ReviewScore: Misinformed Peer Review Detection with Large Language Models. CoRR Hyun Ryu, Doohyuk Jang, Hyemin S. Lee, Joonhyun Jeong, Gyeongman Kim, Donghyeon Cho, Gyouk Chu, Minyeong Hwang, Hyeongwon Jang, Changhun Kim, Haechan Kim, Jina Kim, Joowon Kim, Yoonjeon Kim, Kwanhyung Lee, Chanjae Park, Heecheol Yun, Gregor Betz, Eunho Yang
2025	Misc	`conf`	Stable-TTS: Stable Speaker-Adaptive Text-to-Speech Synthesis via Prosody Prompting. ICASSP Wooseok Han, Minki Kang, Changhun Kim, Eunho Yang
2025	A*	`conf`	TIMING: Temporality-Aware Integrated Gradients for Time Series Explanation. ICML Hyeongwon Jang, Changhun Kim, Eunho Yang
2025	J	`jnl`	TIMING: Temporality-Aware Integrated Gradients for Time Series Explanation. CoRR Hyeongwon Jang, Changhun Kim, Eunho Yang
2025	—	`conf`	Taxonomy of Comprehensive Safety for Clinical Agents. EMNLP (Industry Track) Jean Seo, Hyunkyung Lee, Gibaeg Kim, Wooseok Han, Jaehyo Yoo, Seungseop Lim, Kihun Shin, Eunho Yang
2025	J	`jnl`	Taxonomy of Comprehensive Safety for Clinical Agents. CoRR Jean Seo, Hyunkyung Lee, Gibaeg Kim, Wooseok Han, Jaehyo Yoo, Seungseop Lim, Kihun Shin, Eunho Yang
2025	A*	`conf`	Test-Time Ensemble via Linear Mode Connectivity: A Path to Better Adaptation. ICLR Byungjai Kim, Chanho Ahn, Wissam J. Baddar, Kikyung Kim, Huijin Lee, Saehyun Ahn, Seungju Han, Sungjoo Suh, Eunho Yang
2025	A*	`conf`	Token-Supervised Value Models for Enhancing Mathematical Problem-Solving Capabilities of Large Language Models. ICLR Jung Hyun Lee, June Yong Yang, Byeongho Heo, Dongyoon Han, Kyungsu Kim, Eunho Yang, Kang Min Yoo
2025	A*	`conf`	Towards Precise Prediction Uncertainty in GNNs: Refining GNNs with Topology-grouping Strategy. AAAI Hyunjin Seo, Kyusung Seo, Joonhyung Park, Eunho Yang
2025	J	`jnl`	Towards Reliable Test-Time Adaptation: Style Invariance as a Correctness Likelihood. CoRR Gilhyun Nam, Taewon Kim, Joonhyun Jeong, Eunho Yang
2025	J	`jnl`	Unraveling Zeroth-Order Optimization through the Lens of Low-Dimensional Structured Perturbations. CoRR Sihwan Park, Jihun Yun, Sungyub Kim, Souvik Kundu, Eunho Yang
2025	A*	`conf`	Unveiling the Response of Large Vision-Language Models to Visually Absent Tokens. EMNLP Sohee Kim, Soohyun Ryu, Joonhyung Park, Eunho Yang
2025	J	`jnl`	Unveiling the Response of Large Vision-Language Models to Visually Absent Tokens. CoRR Sohee Kim, Soohyun Ryu, Joonhyung Park, Eunho Yang
2025	J	`jnl`	VQ-FedDiff: Federated Learning Algorithm of Diffusion Models With Client-Specific Vector-Quantized Conditioning. IEEE Trans. Pattern Anal. Mach. Intell. Tehrim Yoon, Minyoung Hwang, Eunho Yang
2025	J	`jnl`	When to Ensemble: Identifying Token-Level Points for Stable and Fast LLM Ensembling. CoRR Heecheol Yun, Kwangmin Ki, Junghyun Lee, Eunho Yang
2024	A*	`conf`	A Simple Remedy for Dataset Bias via Self-Influence: A Mislabeled Sample Perspective. NeurIPS Yeonsung Jung, Jaeyun Song, June Yong Yang, Jin-Hwa Kim, Sungyub Kim, Eunho Yang
2024	J	`jnl`	A Simple Remedy for Dataset Bias via Self-Influence: A Mislabeled Sample Perspective. CoRR Yeonsung Jung, Jaeyun Song, June Yong Yang, Jin-Hwa Kim, Sungyub Kim, Eunho Yang
2024	J	`jnl`	AdapTable: Test-Time Adaptation for Tabular Data via Shift-Aware Uncertainty Calibrator and Label Distribution Handler. CoRR Changhun Kim, Taewon Kim, Seungyeon Woo, June Yong Yang, Eunho Yang
2024	J	`jnl`	Augmentation-Driven Metric for Balancing Preservation and Modification in Text-Guided Image Editing. CoRR Yoonjeon Kim, Soohyun Ryu, Yeonsung Jung, Hyunkoo Lee, Joowon Kim, June Yong Yang, Jaeryong Hwang, Eunho Yang
2024	—	`conf`	CloudFixer: Test-Time Adaptation for 3D Point Clouds via Diffusion-Guided Geometric Transformation. ECCV (31) Hajin Shim, Changhun Kim, Eunho Yang
2024	J	`jnl`	CloudFixer: Test-Time Adaptation for 3D Point Clouds via Diffusion-Guided Geometric Transformation. CoRR Hajin Shim, Changhun Kim, Eunho Yang
2024	A*	`conf`	Data-Efficient Unsupervised Interpolation Without Any Intermediate Frame for 4D Medical Images. CVPR Jungeun Kim, Hangyul Yoon, Geondo Park, Kyungsu Kim, Eunho Yang
2024	J	`jnl`	Data-Efficient Unsupervised Interpolation Without Any Intermediate Frame for 4D Medical Images. CoRR Jungeun Kim, Hangyul Yoon, Geondo Park, Kyungsu Kim, Eunho Yang
2024	J	`jnl`	Divide and Translate: Compositional First-Order Logic Translation and Verification for Complex Logical Reasoning. CoRR Hyun Ryu, Gyeongman Kim, Hyemin S. Lee, Eunho Yang
2024	J	`jnl`	LANTERN: Accelerating Visual Autoregressive Models with Relaxed Speculative Decoding. CoRR Doohyuk Jang, Sihwan Park, June Yong Yang, Yeonsung Jung, Jihun Yun, Souvik Kundu, Sungyub Kim, Eunho Yang
2024	J	`jnl`	LRQ: Optimizing Post-Training Quantization for Large Language Models by Learning Low-Rank Weight-Scaling Matrices. CoRR Jung Hyun Lee, Jeonghoon Kim, June Yong Yang, Se Jung Kwon, Eunho Yang, Kang Min Yoo, Dongsoo Lee
2024	A*	`conf`	Language-Interfaced Tabular Oversampling via Progressive Imputation and Self-Authentication. ICLR June Yong Yang, Geondo Park, Joowon Kim, Hyeongwon Jang, Eunho Yang
2024	J	`jnl`	Med-PerSAM: One-Shot Visual Prompt Tuning for Personalized Segment Anything Model in Medical Domain. CoRR Hangyul Yoon, Doohyuk Jang, Jungeun Kim, Eunho Yang
2024	J	`jnl`	No Token Left Behind: Reliable KV Cache Compression via Importance-Aware Mixed Precision Quantization. CoRR June Yong Yang, Byeongwook Kim, Jeongin Bae, Beomseok Kwon, Gunho Park, Eunho Yang, Se Jung Kwon, Dongsoo Lee
2024	—	`conf`	PromptKD: Distilling Student-Friendly Knowledge for Generative Language Models via Prompt Tuning. EMNLP (Findings) Gyeongman Kim, Doohyuk Jang, Eunho Yang
2024	J	`jnl`	PromptKD: Distilling Student-Friendly Knowledge for Generative Language Models via Prompt Tuning. CoRR Gyeongman Kim, Doohyuk Jang, Eunho Yang
2024	A*	`conf`	PruNeRF: Segment-Centric Dataset Pruning via 3D Spatial Consistency. ICML Yeonsung Jung, Heecheol Yun, Joonhyung Park, Jin-Hwa Kim, Eunho Yang
2024	J	`jnl`	PruNeRF: Segment-Centric Dataset Pruning via 3D Spatial Consistency. CoRR Yeonsung Jung, Heecheol Yun, Joonhyung Park, Jin-Hwa Kim, Eunho Yang
2024	J	`jnl`	REBIND: Enhancing ground-state molecular conformation via force-based graph rewiring. CoRR Taewon Kim, Hyunjin Seo, Sungsoo Ahn, Eunho Yang
2024	J	`jnl`	SeamsTalk: Seamless Talking Face Generation via Flow-Guided Inpainting. IEEE Access Yeon-Ho Jeong, Gyeongman Kim, Doohyuk Jang, Jaeryong Hwang, Eunho Yang
2024	J	`jnl`	Stable-TTS: Stable Speaker-Adaptive Text-to-Speech Synthesis via Prosody Prompting. CoRR Wooseok Han, Minki Kang, Changhun Kim, Eunho Yang
2024	A*	`conf`	TEDDY: Trimming Edges with Degree-based Discrimination Strategy. ICLR Hyunjin Seo, Jihun Yun, Eunho Yang
2024	J	`jnl`	TEDDY: Trimming Edges with Degree-based Discrimination strategY. CoRR Hyunjin Seo, Jihun Yun, Eunho Yang
2024	—	`conf`	TTD: Text-Tag Self-Distillation Enhancing Image-Text Alignment in CLIP to Alleviate Single Tag Bias. ECCV (81) Sanghyun Jo, Soohyun Ryu, Sungyub Kim, Eunho Yang, Kyungsu Kim
2024	J	`jnl`	TTD: Text-Tag Self-Distillation Enhancing Image-Text Alignment in CLIP to Alleviate Single Tag Bias. CoRR Sanghyun Jo, Soohyun Ryu, Sungyub Kim, Eunho Yang, Kyungsu Kim
2024	J	`jnl`	Time Series Classification With Large Language Models via Linguistic Scaffolding. IEEE Access Hyeongwon Jang, June Yong Yang, Jaeryong Hwang, Eunho Yang
2024	J	`jnl`	Towards Precise Prediction Uncertainty in GNNs: Refining GNNs with Topology-grouping Strategy. CoRR Hyunjin Seo, Kyusung Seo, Joonhyung Park, Eunho Yang
2024	J	`jnl`	Unleashing the Potential of Text-attributed Graphs: Automatic Relation Decomposition via Large Language Models. CoRR Hyunjin Seo, Taewon Kim, June Yong Yang, Eunho Yang
2023	J	`jnl`	BackTrack: Robust template update via Backward Tracking of candidate template. CoRR Dongwook Lee, Wonjun Choi, Seohyung Lee, ByungIn Yoo, Eunho Yang, Seongju Hwang
2023	A*	`conf`	BiasAdv: Bias-Adversarial Augmentation for Model Debiasing. CVPR Jongin Lim, Youngdong Kim, Byungjai Kim, Chanho Ahn, Jinwoo Shin, Eunho Yang, Seungju Han
2023	J	`jnl`	Deep Self-Supervised Diversity Promoting Learning on Hierarchical Hyperspheres for Regularization. IEEE Access Youngsung Kim, Yoonsuk Hyun, Jae-Joon Han, Eunho Yang, Sung Ju Hwang, Jinwoo Shin
2023	A*	`conf`	Diffusion Video Autoencoders: Toward Temporally Consistent Face Video Editing via Disentangled Video Encoding. CVPR Gyeongman Kim, Hajin Shim, Hyunsu Kim, Yunjey Choi, Junho Kim, Eunho Yang
2023	J	`jnl`	Face-StyleSpeech: Improved Face-to-Voice latent mapping for Natural Zero-shot Speech Synthesis from a Face Image. CoRR Minki Kang, Wooseok Han, Eunho Yang
2023	A*	`conf`	Fighting Fire with Fire: Contrastive Debiasing without Bias-free Data via Generative Bias-transformation. ICML Yeonsung Jung, Hajin Shim, June Yong Yang, Eunho Yang
2023	A*	`conf`	GEX: A flexible method for approximating influence via Geometric Ensemble. NeurIPS Sungyub Kim, Kyungsu Kim, Eunho Yang
2023	A*	`conf`	Learning Input-agnostic Manipulation Directions in StyleGAN with Text Guidance. ICLR Yoonjeon Kim, Hyunsu Kim, Junho Kim, Yunjey Choi, Eunho Yang
2023	J	`jnl`	Learning Input-agnostic Manipulation Directions in StyleGAN with Text Guidance. CoRR Yoonjeon Kim, Hyunsu Kim, Junho Kim, Yunjey Choi, Eunho Yang
2023	J	`jnl`	Learning Polymorphic Neural ODEs With Time-Evolving Mixture. IEEE Trans. Pattern Anal. Mach. Intell. Tehrim Yoon, Sumin Shin, Eunho Yang
2023	A*	`conf`	PC-Adapter: Topology-Aware Adapter for Efficient Domain Adaption on Point Clouds with Rectified Pseudo-label. ICCV Joonhyung Park, Hyunjin Seo, Eunho Yang
2023	J	`jnl`	PC-Adapter: Topology-Aware Adapter for Efficient Domain Adaption on Point Clouds with Rectified Pseudo-label. CoRR Joonhyung Park, Hyunjin Seo, Eunho Yang
2023	A*	`conf`	RGE: A Repulsive Graph Rectification for Node Classification via Influence. ICML Jaeyun Song, Sungyub Kim, Eunho Yang
2023	A*	`conf`	Riemannian SAM: Sharpness-Aware Minimization on Riemannian Manifolds. NeurIPS Jihun Yun, Eunho Yang
2023	A	`conf`	SGEM: Test-Time Adaptation for Automatic Speech Recognition via Sequential-Level Generalized Entropy Minimization. INTERSPEECH Changhun Kim, Joonhyung Park, Hajin Shim, Eunho Yang
2023	J	`jnl`	SGEM: Test-Time Adaptation for Automatic Speech Recognition via Sequential-Level Generalized Entropy Minimization. CoRR Changhun Kim, Joonhyung Park, Hajin Shim, Eunho Yang
2023	A*	`conf`	Scale-invariant Bayesian Neural Networks with Connectivity Tangent Kernel. ICLR Sungyub Kim, Sihwan Park, Kyung-Su Kim, Eunho Yang
2023	—	`conf`	Towards the Practical Utility of Federated Learning in the Medical Domain. CHIL Hyeonji Hwang, Seongjun Yang, Daeyoung Kim, Radhika Dua, Jong-Yeup Kim, Eunho Yang, Edward Choi
2023	Misc	`conf`	Weavspeech: Data Augmentation Strategy For Automatic Speech Recognition Via Semantic-Aware Weaving. ICASSP Kyusung Seo, Joonhyung Park, Jaeyun Song, Eunho Yang
2023	A	`conf`	ZET-Speech: Zero-shot adaptive Emotion-controllable Text-to-Speech Synthesis with Diffusion and Style-based Models. INTERSPEECH Minki Kang, Wooseok Han, Sung Ju Hwang, Eunho Yang
2023	J	`jnl`	ZET-Speech: Zero-shot adaptive Emotion-controllable Text-to-Speech Synthesis with Diffusion and Style-based Models. CoRR Minki Kang, Wooseok Han, Sung Ju Hwang, Eunho Yang
2022	J	`jnl`	A Simple Framework for Robust Out-of-Distribution Detection. IEEE Access Youngbum Hur, Eunho Yang, Sung Ju Hwang
2022	A	`conf`	AdaBlock: SGD with Practical Block Diagonal Matrix Adaptation for Deep Learning. AISTATS Jihun Yun, Aurélie C. Lozano, Eunho Yang
2022	J	`jnl`	Diffusion Video Autoencoders: Toward Temporally Consistent Face Video Editing via Disentangled Video Encoding. CoRR Gyeongman Kim, Hajin Shim, Hyunsu Kim, Yunjey Choi, Junho Kim, Eunho Yang
2022	—	`conf`	Does it Really Generalize Well on Unseen Data? Systematic Evaluation of Relational Triple Extraction Methods. NAACL-HLT Juhyuk Lee, Min-Joong Lee, June Yong Yang, Eunho Yang
2022	A*	`conf`	Graph Transplant: Node Saliency-Guided Graph Mixup with Local Structure Preservation. AAAI Joonhyung Park, Hajin Shim, Eunho Yang
2022	A*	`conf`	GraphENS: Neighbor-Aware Ego Network Synthesis for Class-Imbalanced Node Classification. ICLR Joonhyung Park, Jaeyun Song, Eunho Yang
2022	A*	`conf`	Model-augmented Prioritized Experience Replay. ICLR Youngmin Oh, Jinwoo Shin, Eunho Yang, Sung Ju Hwang
2022	A*	`conf`	Online Coreset Selection for Rehearsal-based Continual Learning. ICLR Jaehong Yoon, Divyam Madaan, Eunho Yang, Sung Ju Hwang
2022	A*	`conf`	Online Hyperparameter Meta-Learning with Hypergradient Distillation. ICLR Haebeom Lee, Hayeon Lee, Jaewoong Shin, Eunho Yang, Timothy M. Hospedales, Sung Ju Hwang
2022	A*	`conf`	Saliency Grafting: Innocuous Attribution-Guided Mixup with Calibrated Label Mixing. AAAI Joonhyung Park, June Yong Yang, Jinwoo Shin, Sung Ju Hwang, Eunho Yang
2022	J	`jnl`	Scale-invariant Bayesian Neural Networks with Connectivity Tangent Kernel. CoRR Sungyub Kim, Sihwan Park, Kyungsu Kim, Eunho Yang
2022	A*	`conf`	Set Based Stochastic Subsampling. ICML Bruno Andreis, Seanie Lee, Tuan A. Nguyen, Juho Lee, Eunho Yang, Sung Ju Hwang
2022	A*	`conf`	TAM: Topology-Aware Margin Loss for Class-Imbalanced Node Classification. ICML Jaeyun Song, Joonhyung Park, Eunho Yang
2022	J	`jnl`	TAM: Topology-Aware Margin Loss for Class-Imbalanced Node Classification. CoRR Jaeyun Song, Joonhyung Park, Eunho Yang
2022	J	`jnl`	Towards the Practical Utility of Federated Learning in the Medical Domain. CoRR Seongjun Yang, Hyeonji Hwang, Daeyoung Kim, Radhika Dua, Jong-Yeup Kim, Eunho Yang, Edward Choi
2021	A*	`conf`	Adaptive Proximal Gradient Methods for Structured Neural Networks. NeurIPS Jihun Yun, Aurélie C. Lozano, Eunho Yang
2021	A*	`conf`	Clinical Risk Prediction with Temporal Probabilistic Asymmetric Multi-Task Learning. AAAI Tuan A. Nguyen, Hyewon Jeong, Eunho Yang, Sung Ju Hwang
2021	A*	`conf`	Cluster-Promoting Quantization with Bit-Drop for Minimizing Network Quantization Loss. ICCV Jung Hyun Lee, Jihun Yun, Sung Ju Hwang, Eunho Yang
2021	J	`jnl`	Cluster-Promoting Quantization with Bit-Drop for Minimizing Network Quantization Loss. CoRR Jung Hyun Lee, Jihun Yun, Sung Ju Hwang, Eunho Yang
2021	J	`jnl`	Compressed Sensing via Measurement-Conditional Generative Models. IEEE Access Kyungsu Kim, Jung Hyun Lee, Eunho Yang
2021	—	`conf`	Distilling Linguistic Context for Language Model Compression. EMNLP (1) Geondo Park, Gyeongman Kim, Eunho Yang
2021	J	`jnl`	Distilling Linguistic Context for Language Model Compression. CoRR Geondo Park, Gyeongman Kim, Eunho Yang
2021	A*	`conf`	FedMix: Approximation of Mixup under Mean Augmented Federated Learning. ICLR Tehrim Yoon, Sumin Shin, Sung Ju Hwang, Eunho Yang
2021	J	`jnl`	FedMix: Approximation of Mixup under Mean Augmented Federated Learning. CoRR Tehrim Yoon, Sumin Shin, Sung Ju Hwang, Eunho Yang
2021	A*	`conf`	Federated Continual Learning with Weighted Inter-client Transfer. ICML Jaehong Yoon, Wonyong Jeong, Giwoong Lee, Eunho Yang, Sung Ju Hwang
2021	A*	`conf`	Federated Semi-Supervised Learning with Inter-Client Consistency & Disjoint Learning. ICLR Wonyong Jeong, Jaehong Yoon, Eunho Yang, Sung Ju Hwang
2021	J	`jnl`	Fighting Fire with Fire: Contrastive Debiasing without Bias-free Data via Generative Bias-transformation. CoRR Yeonsung Jung, Hajin Shim, June Yong Yang, Eunho Yang
2021	A*	`conf`	GTA: Graph Truncated Attention for Retrosynthesis. AAAI Seung-Woo Seo, You Young Song, June Yong Yang, Seohui Bae, Hankook Lee, Jinwoo Shin, Sung Ju Hwang, Eunho Yang
2021	J	`jnl`	Graph Transplant: Node Saliency-Guided Graph Mixup with Local Structure Preservation. CoRR Joonhyung Park, Hajin Shim, Eunho Yang
2021	C	`conf`	Learning How Long to Wait: Adaptively-Constrained Monotonic Multihead Attention for Streaming ASR. ASRU Jaeyun Song, Hajin Shim, Eunho Yang
2021	A*	`conf`	Learning to Sample with Local and Global Contexts in Experience Replay Buffer. ICLR Youngmin Oh, Kimin Lee, Jinwoo Shin, Eunho Yang, Sung Ju Hwang
2021	A*	`conf`	Meta-StyleSpeech : Multi-Speaker Adaptive Text-to-Speech Generation. ICML Dongchan Min, Dong Bok Lee, Eunho Yang, Sung Ju Hwang
2021	J	`jnl`	Meta-StyleSpeech : Multi-Speaker Adaptive Text-to-Speech Generation. CoRR Dongchan Min, Dong Bok Lee, Eunho Yang, Sung Ju Hwang
2021	J	`jnl`	Model-Augmented Q-learning. CoRR Youngmin Oh, Jinwoo Shin, Eunho Yang, Sung Ju Hwang
2021	A	`conf`	Multi-Domain Knowledge Distillation via Uncertainty-Matching for End-to-End ASR Models. Interspeech Ho-Gyeong Kim, Min-Joong Lee, Hoshik Lee, Tae Gyoon Kang, Jihyun Lee, Eunho Yang, Sung Ju Hwang
2021	Misc	`conf`	Mutually-Constrained Monotonic Multihead Attention for Online ASR. ICASSP Jaeyun Song, Hajin Shim, Eunho Yang
2021	J	`jnl`	Mutually-Constrained Monotonic Multihead Attention for Online ASR. CoRR Jaeyun Song, Hajin Shim, Eunho Yang
2021	J	`jnl`	Online Coreset Selection for Rehearsal-based Continual Learning. CoRR Jaehong Yoon, Divyam Madaan, Eunho Yang, Sung Ju Hwang
2021	J	`jnl`	Online Hyperparameter Meta-Learning with Hypergradient Distillation. CoRR Haebeom Lee, Hayeon Lee, Jaewoong Shin, Eunho Yang, Timothy M. Hospedales, Sung Ju Hwang
2021	A*	`conf`	RetCL: A Selection-based Approach for Retrosynthesis via Contrastive Learning. IJCAI Hankook Lee, Sungsoo Ahn, Seung-Woo Seo, You Young Song, Eunho Yang, Sung Ju Hwang, Jinwoo Shin
2021	J	`jnl`	RetCL: A Selection-based Approach for Retrosynthesis via Contrastive Learning. CoRR Hankook Lee, Sungsoo Ahn, Seung-Woo Seo, You Young Song, Sung Ju Hwang, Eunho Yang, Jinwoo Shin
2021	J	`jnl`	Saliency Grafting: Innocuous Attribution-Guided Mixup with Calibrated Label Mixing. CoRR Joonhyung Park, June Yong Yang, Jinwoo Shin, Sung Ju Hwang, Eunho Yang
2021	A*	`conf`	Unbiased Classification through Bias-Contrastive and Bias-Balanced Learning. NeurIPS Youngkyu Hong, Eunho Yang
2020	J	`jnl`	A General Family of Stochastic Proximal Gradient Methods for Deep Learning. CoRR Jihun Yun, Aurélie C. Lozano, Eunho Yang
2020	A*	`conf`	Attribution Preservation in Network Compression for Reliable Network Interpretation. NeurIPS Geondo Park, June Yong Yang, Sung Ju Hwang, Eunho Yang
2020	J	`jnl`	Attribution Preservation in Network Compression for Reliable Network Interpretation. CoRR Geondo Park, June Yong Yang, Sung Ju Hwang, Eunho Yang
2020	J	`jnl`	Bootstrapping Neural Processes. CoRR Juho Lee, Yoonho Lee, Jungtaek Kim, Eunho Yang, Sung Ju Hwang, Yee Whye Teh
2020	A*	`conf`	Bootstrapping neural processes. NeurIPS Juho Lee, Yoonho Lee, Jungtaek Kim, Eunho Yang, Sung Ju Hwang, Yee Whye Teh
2020	J	`jnl`	Clinical Risk Prediction with Temporal Probabilistic Asymmetric Multi-Task Learning. CoRR Tuan A. Nguyen, Hyewon Jeong, Eunho Yang, Sung Ju Hwang
2020	J	`jnl`	Compressed Sensing via Measurement-Conditional Generative Models. CoRR Kyungsu Kim, Jung Hyun Lee, Eunho Yang
2020	A*	`conf`	Cost-Effective Interactive Attention Learning with Neural Attention Processes. ICML Jay Heo, Junhyeon Park, Hyewon Jeong, Kwang Joon Kim, Juho Lee, Eunho Yang, Sung Ju Hwang
2020	J	`jnl`	Cost-effective Interactive Attention Learning with Neural Attention Processes. CoRR Jay Heo, Junhyeon Park, Hyewon Jeong, Kwang Joon Kim, Juho Lee, Eunho Yang, Sung Ju Hwang
2020	A*	`conf`	Deep Mixed Effect Model Using Gaussian Processes: A Personalized and Reliable Prediction for Healthcare. AAAI Ingyo Chung, Saehoon Kim, Juho Lee, Kwang Joon Kim, Sung Ju Hwang, Eunho Yang
2020	A*	`conf`	Distribution Aligning Refinery of Pseudo-label for Imbalanced Semi-supervised Learning. NeurIPS Jaehyung Kim, Youngbum Hur, Sejun Park, Eunho Yang, Sung Ju Hwang, Jinwoo Shin
2020	J	`jnl`	Distribution Aligning Refinery of Pseudo-label for Imbalanced Semi-supervised Learning. CoRR Jaehyung Kim, Youngbum Hur, Sejun Park, Eunho Yang, Sung Ju Hwang, Jinwoo Shin
2020	J	`jnl`	Federated Continual Learning with Adaptive Parameter Communication. CoRR Jaehong Yoon, Wonyong Jeong, Giwoong Lee, Eunho Yang, Sung Ju Hwang
2020	J	`jnl`	Federated Semi-Supervised Learning with Inter-Client Consistency. CoRR Wonyong Jeong, Jaehong Yoon, Eunho Yang, Sung Ju Hwang
2020	A*	`conf`	Few-shot Visual Reasoning with Meta-Analogical Contrastive Learning. NeurIPS Youngsung Kim, Jinwoo Shin, Eunho Yang, Sung Ju Hwang
2020	J	`jnl`	Few-shot Visual Reasoning with Meta-analogical Contrastive Learning. CoRR Youngsung Kim, Jinwoo Shin, Eunho Yang, Sung Ju Hwang
2020	A*	`conf`	Learning to Balance: Bayesian Meta-Learning for Imbalanced and Out-of-distribution Tasks. ICLR Haebeom Lee, Hayeon Lee, Donghyun Na, Saehoon Kim, Minseop Park, Eunho Yang, Sung Ju Hwang
2020	J	`jnl`	Learning to Sample with Local and Global Contexts in Experience Replay Buffer. CoRR Youngmin Oh, Kimin Lee, Jinwoo Shin, Eunho Yang, Sung Ju Hwang
2020	A*	`conf`	Meta Dropout: Learning to Perturb Latent Features for Generalization. ICLR Haebeom Lee, Taewook Nam, Eunho Yang, Sung Ju Hwang
2020	A*	`conf`	Neural Complexity Measures. NeurIPS Yoonho Lee, Juho Lee, Sung Ju Hwang, Eunho Yang, Seungjin Choi
2020	J	`jnl`	Neural Complexity Measures. CoRR Yoonho Lee, Juho Lee, Sung Ju Hwang, Eunho Yang, Seungjin Choi
2020	J	`jnl`	Rapid Structural Pruning of Neural Networks with Set-based Task-Adaptive Meta-Pruning. CoRR Minyoung Song, Jaehong Yoon, Eunho Yang, Sung Ju Hwang
2020	A*	`conf`	Scalable and Order-robust Continual Learning with Additive Parameter Decomposition. ICLR Jaehong Yoon, Saehoon Kim, Eunho Yang, Sung Ju Hwang
2020	J	`jnl`	Stochastic Subset Selection. CoRR Tuan A. Nguyen, Andreis Bruno, Juho Lee, Eunho Yang, Sung Ju Hwang
2020	A*	`conf`	Time-Reversal Symmetric ODE Network. NeurIPS In Huh, Eunho Yang, Sung Ju Hwang, Jinwoo Shin
2020	J	`jnl`	Time-Reversal Symmetric ODE Network. CoRR In Huh, Eunho Yang, Sung Ju Hwang, Jinwoo Shin
2020	A*	`conf`	Why Not to Use Zero Imputation? Correcting Sparsity Bias in Training Neural Networks. ICLR Joonyoung Yi, Juhyuk Lee, Kwang Joon Kim, Sung Ju Hwang, Eunho Yang
2019	J	`jnl`	Learning to Balance: Bayesian Meta-Learning for Imbalanced and Out-of-distribution Tasks. CoRR Donghyun Na, Hayeon Lee, Haebeom Lee, Saehoon Kim, Minseop Park, Eunho Yang, Sung Ju Hwang
2019	—	`conf`	Learning to Propagate Labels: Transductive Propagation Network for Few-Shot Learning. ICLR (Poster) Yanbin Liu, Juho Lee, Minseop Park, Saehoon Kim, Eunho Yang, Sung Ju Hwang, Yi Yang
2019	J	`jnl`	Meta Dropout: Learning to Perturb Features for Generalization. CoRR Haebeom Lee, Taewook Nam, Eunho Yang, Sung Ju Hwang
2019	J	`jnl`	ORACLE: Order Robust Adaptive Continual LEarning. CoRR Jaehong Yoon, Saehoon Kim, Eunho Yang, Sung Ju Hwang
2019	J	`jnl`	Reliable Estimation of Individual Treatment Effect with Causal Information Bottleneck. CoRR Sungyub Kim, Yongsu Baek, Sung Ju Hwang, Eunho Yang
2019	J	`jnl`	Sparsity Normalization: Stabilizing the Expected Outputs of Deep Networks. CoRR Joonyoung Yi, Juhyuk Lee, Sung Ju Hwang, Eunho Yang
2019	A*	`conf`	Spectral Approximate Inference. ICML Sejun Park, Eunho Yang, Se-Young Yun, Jinwoo Shin
2019	J	`jnl`	Spectral Approximate Inference. CoRR Sejun Park, Eunho Yang, Se-Young Yun, Jinwoo Shin
2019	J	`jnl`	Stochastic Gradient Methods with Block Diagonal Matrix Adaptation. CoRR Jihun Yun, Aurélie C. Lozano, Eunho Yang
2019	A*	`conf`	Trimming the $\ell_1$ Regularizer: Statistical Analysis, Optimization, and Applications to Deep Learning. ICML Jihun Yun, Peng Zheng, Eunho Yang, Aurélie C. Lozano, Aleksandr Y. Aravkin
2018	J	`jnl`	Adaptive Network Sparsification via Dependent Variational Beta-Bernoulli Dropout. CoRR Juho Lee, Saehoon Kim, Jaehong Yoon, Haebeom Lee, Eunho Yang, Sung Ju Hwang
2018	A*	`conf`	Deep Asymmetric Multi-task Feature Learning. ICML Haebeom Lee, Eunho Yang, Sung Ju Hwang
2018	A*	`conf`	DropMax: Adaptive Variational Softmax. NeurIPS Haebeom Lee, Juho Lee, Saehoon Kim, Eunho Yang, Sung Ju Hwang
2018	A*	`conf`	Joint Active Feature Acquisition and Classification with Variable-Size Set Encoding. NeurIPS Hajin Shim, Sung Ju Hwang, Eunho Yang
2018	—	`conf`	Lifelong Learning with Dynamically Expandable Networks. ICLR (Poster) Jaehong Yoon, Eunho Yang, Jeongtae Lee, Sung Ju Hwang
2018	J	`jnl`	Mixed Effect Composite RNN-GP: A Personalized and Reliable Prediction Model for Healthcare. CoRR Ingyo Chung, Saehoon Kim, Juho Lee, Sung Ju Hwang, Eunho Yang
2018	A*	`conf`	Uncertainty-Aware Attention for Reliable Interpretation and Prediction. NeurIPS Jay Heo, Haebeom Lee, Saehoon Kim, Juho Lee, Kwang Joon Kim, Eunho Yang, Sung Ju Hwang
2018	J	`jnl`	Uncertainty-Aware Attention for Reliable Interpretation and Prediction. CoRR Jay Heo, Haebeom Lee, Saehoon Kim, Juho Lee, Kwang Joon Kim, Eunho Yang, Sung Ju Hwang
2017	J	`jnl`	Deep Asymmetric Multi-task Feature Learning. CoRR Haebeom Lee, Eunho Yang, Sung Ju Hwang
2017	J	`jnl`	DropMax: Adaptive Stochastic Softmax. CoRR Haebeom Lee, Juho Lee, Eunho Yang, Sung Ju Hwang
2017	—	`conf`	Learning Task Clusters via Sparsity Grouped Multitask Learning. ECML/PKDD (2) Meghana Kshirsagar, Eunho Yang, Aurélie C. Lozano
2017	J	`jnl`	Lifelong Learning with Dynamically Expandable Networks. CoRR Jeongtae Lee, Jaehong Yoon, Eunho Yang, Sung Ju Hwang
2017	A*	`conf`	Ordinal Graphical Models: A Tale of Two Approaches. ICML Arun Sai Suggala, Eunho Yang, Pradeep Ravikumar
2017	J	`jnl`	Sequential Local Learning for Latent Graphical Models. CoRR Sejun Park, Eunho Yang, Jinwoo Shin
2017	A*	`conf`	Sparse + Group-Sparse Dirty Models: Statistical Guarantees without Unreasonable Conditions and a Case for Non-Convexity. ICML Eunho Yang, Aurélie C. Lozano
2017	J	`jnl`	Why Pay More When You Can Pay Less: A Joint Learning Framework for Active Feature Acquisition and Classification. CoRR Hajin Shim, Sung Ju Hwang, Eunho Yang
2016	A*	`conf`	Asymmetric Multi-task Learning based on Task Relatedness and Confidence. ICML Giwoong Lee, Eunho Yang, Sung Ju Hwang
2016	J	`jnl`	XMRF: an R package to fit Markov Networks to high-throughput genetics data. BMC Syst. Biol. Ying-Wooi Wan, Genevera I. Allen, Yulia Baker, Eunho Yang, Pradeep Ravikumar, Matthew Anderson, Zhandong Liu
2015	—	`conf`	Closed-form Estimators for High-dimensional Generalized Linear Models. NIPS Eunho Yang, Aurélie C. Lozano, Pradeep Ravikumar
2015	J	`jnl`	Graphical models via univariate exponential family distributions. J. Mach. Learn. Res. Eunho Yang, Pradeep Ravikumar, Genevera I. Allen, Zhandong Liu
2015	—	`conf`	Robust Gaussian Graphical Modeling with the Trimmed Graphical Lasso. NIPS Eunho Yang, Aurélie C. Lozano
2014	—	`conf`	Elementary Estimators for Graphical Models. NIPS Eunho Yang, Aurélie C. Lozano, Pradeep Ravikumar
2014	A*	`conf`	Elementary Estimators for High-Dimensional Linear Regression. ICML Eunho Yang, Aurélie C. Lozano, Pradeep Ravikumar
2014	A*	`conf`	Elementary Estimators for Sparse Covariance Matrices and other Structured Moments. ICML Eunho Yang, Aurélie C. Lozano, Pradeep Ravikumar
2014	A	`conf`	Mixed Graphical Models via Exponential Families. AISTATS Eunho Yang, Yulia Baker, Pradeep Ravikumar, Genevera I. Allen, Zhandong Liu
2013	—	`conf`	Conditional Random Fields via Univariate Exponential Families. NIPS Eunho Yang, Pradeep Ravikumar, Genevera I. Allen, Zhandong Liu
2013	—	`conf`	Dirty Statistical Models. NIPS Eunho Yang, Pradeep Ravikumar
2013	—	`conf`	On Poisson Graphical Models. NIPS Eunho Yang, Pradeep Ravikumar, Genevera I. Allen, Zhandong Liu
2013	A*	`conf`	On Robust Estimation of High Dimensional Generalized Linear Models. IJCAI Eunho Yang, Ambuj Tewari, Pradeep Ravikumar
2012	—	`conf`	Graphical Models via Generalized Linear Models. NIPS Eunho Yang, Pradeep Ravikumar, Genevera I. Allen, Zhandong Liu
2012	A	`conf`	Perturbation based Large Margin Approach for Ranking. AISTATS Eunho Yang, Ambuj Tewari, Pradeep Ravikumar
2011	A	`conf`	On NDCG Consistency of Listwise Ranking Methods. AISTATS Pradeep Ravikumar, Ambuj Tewari, Eunho Yang
2011	A*	`conf`	On the Use of Variational Inference for Learning Discrete Graphical Model. ICML Eunho Yang, Pradeep Ravikumar
2009	—	`conf`	Selfish retransmission protocol in an IR-UWB system. ICOIN Jimyung Kang, Eunho Yang, Youngjin Park, Soonwoo Lee, Yonghwa Kim, Kwanho Kim
2009	—	`conf`	Tele-conference using advanced tool on future IP. ICOIN Sunglim Lee, Koji Okamura, Eunho Yang
2008	B	`conf`	On selfish behavior using asymmetric carrier sensing in IEEE 802.11 wireless networks. LCN Eunho Yang, Jaehyuk Choi, Sunglim Lee
2008	C	`conf`	The Bandwidth Feasibility Test Method for Ubiquitous Teleconference on Future Internet. ISPA Sunglim Lee, Koji Okamura, Eunho Yang
2006	—	`conf`	EIMD: A New Congestion Control for Fast Long-Distance Networks. ICOIN Eunho Yang, Seong-il Hahm, Seongho Cho, Chong-Kwon Kim, Pillwoo Lee