Chang D. Yoo - RankMe

244 papers A* 28A 23B 12C 2Misc 17Journal 126Unranked 36

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Hidden Semantic Bottleneck in Conditional Embeddings of Diffusion Transformers. CoRR Trung X. Pham, Kang Zhang, Ji Woo Hong, Chang D. Yoo
2026	J	`jnl`	High-Fidelity Text-to-Image Generation from Pre-Trained Vision-Language Models via Distribution-Conditioned Diffusion Decoding. CoRR Ji Woo Hong, Hee Suk Yoon, Gwanhyeong Koo, Eunseop Yoon, SooHwan Eom, Qi Dai, Chong Luo, Chang D. Yoo
2026	J	`jnl`	Something from Nothing: Data Augmentation for Robust Severity Level Estimation of Dysarthric Speech. CoRR Jaesung Bae, Xiuwen Zheng, Minje Kim, Chang D. Yoo, Mark Hasegawa-Johnson
2026	J	`jnl`	Towards Robust Dysarthric Speech Recognition: LLM-Agent Post-ASR Correction Beyond WER. CoRR Xiuwen Zheng, Sixun Dong, Bornali Phukon, Mark Hasegawa-Johnson, Chang D. Yoo
2026	J	`jnl`	Towards unsupervised speech recognition without pronunciation models. Speech Commun. Junrui Ni, Liming Wang, Yang Zhang, Kaizhi Qian, Heting Gao, Mark Hasegawa-Johnson, James R. Glass, Chang D. Yoo
2026	J	`jnl`	Uncertainty-Aware Rank-One MIMO Q Network Framework for Accelerated Offline Reinforcement Learning. CoRR Thanh Nguyen, Tung Minh Luu, Tri Ton, Sungwoong Kim, Chang D. Yoo
2025	A*	`conf`	Can Video LLMs Refuse to Answer? Alignment for Answerability in Video Large Language Models. ICLR Eunseop Yoon, Hee Suk Yoon, Mark A. Hasegawa-Johnson, Chang D. Yoo
2025	J	`jnl`	Can Video LLMs Refuse to Answer? Alignment for Answerability in Video Large Language Models. CoRR Eunseop Yoon, Hee Suk Yoon, Mark A. Hasegawa-Johnson, Chang D. Yoo
2025	A*	`conf`	ConfPO: Exploiting Policy Model Confidence for Critical Token Selection in Preference Optimization. ICML Hee Suk Yoon, Eunseop Yoon, Mark A. Hasegawa-Johnson, Sungwoong Kim, Chang D. Yoo
2025	J	`jnl`	ConfPO: Exploiting Policy Model Confidence for Critical Token Selection in Preference Optimization. CoRR Hee Suk Yoon, Eunseop Yoon, Mark Hasegawa-Johnson, Sungwoong Kim, Chang D. Yoo
2025	J	`jnl`	Continual Learning: Forget-Free Winning Subnetworks for Video Representations. IEEE Trans. Pattern Anal. Mach. Intell. Haeyong Kang, Jaehong Yoon, Sung Ju Hwang, Chang D. Yoo
2025	J	`jnl`	DriVLM: Domain Adaptation of Vision-Language Models in Autonomous Driving. CoRR Xuran Zheng, Chang D. Yoo
2025	J	`jnl`	E-MD3C: Taming Masked Diffusion Transformers for Efficient Zero-Shot Object Customization. CoRR Trung X. Pham, Kang Zhang, Ji Woo Hong, Xuran Zheng, Chang D. Yoo
2025	A*	`conf`	Enhancing Rating-Based Reinforcement Learning to Effectively Leverage Feedback from Large Vision-Language Models. ICML Tung Minh Luu, Younghwan Lee, Donghoon Lee, Sunho Kim, Min Jun Kim, Chang D. Yoo
2025	J	`jnl`	Enhancing Rating-Based Reinforcement Learning to Effectively Leverage Feedback from Large Vision-Language Models. CoRR Tung Minh Luu, Younghwan Lee, Donghoon Lee, Sunho Kim, Min Jun Kim, Chang D. Yoo
2025	A*	`conf`	FlowDrag: 3D-aware Drag-based Image Editing with Mesh-guided Deformation Vector Flow Fields. ICML Gwanhyeong Koo, Sunjae Yoon, Younghwan Lee, Ji Woo Hong, Chang D. Yoo
2025	J	`jnl`	FlowDrag: 3D-aware Drag-based Image Editing with Mesh-guided Deformation Vector Flow Fields. CoRR Gwanhyeong Koo, Sunjae Yoon, Younghwan Lee, Ji Woo Hong, Chang D. Yoo
2025	A	`conf`	Human-Centric AI: From Explainability and Trustworthiness to Actionable Ethics. CIKM Jaesik Choi, Bohyung Han, Myoung-Wan Koo, Kyungman Bae, Chang D. Yoo, Simon S. Woo, Wojciech Samek
2025	J	`jnl`	Hypothesis Perturbation for Active Learning. IEEE J. Sel. Top. Signal Process. Seong Jin Cho, Gwangsu Kim, Chang D. Yoo
2025	A*	`conf`	ITA-MDT: Image-Timestep-Adaptive Masked Diffusion Transformer Framework for Image-Based Virtual Try-On. CVPR Ji Woo Hong, Tri Ton, Trung X. Pham, Gwanhyeong Koo, Sunjae Yoon, Chang D. Yoo
2025	J	`jnl`	ITA-MDT: Image-Timestep-Adaptive Masked Diffusion Transformer Framework for Image-Based Virtual Try-On. CoRR Ji Woo Hong, Tri Ton, Trung X. Pham, Gwanhyeong Koo, Sunjae Yoon, Chang D. Yoo
2025	A*	`conf`	MDSGen: Fast and Efficient Masked Diffusion Temporal-Aware Transformers for Open-Domain Sound Generation. ICLR Trung X. Pham, Tri Ton, Chang D. Yoo
2025	J	`jnl`	Occlusion-robust Stylization for Drawing-based 3D Animation. CoRR Sunjae Yoon, Gwanhyeong Koo, Younghwan Lee, Ji Woo Hong, Chang D. Yoo
2025	J	`jnl`	PACR: Progressively Ascending Confidence Reward for LLM Reasoning. CoRR Eunseop Yoon, Hee Suk Yoon, Jaehyun Jang, SooHwan Eom, Qi Dai, Chong Luo, Mark A. Hasegawa-Johnson, Chang D. Yoo
2025	A	`conf`	Policy Learning from Large Vision-Language Model Feedback Without Reward Modeling. IROS Tung Minh Luu, Donghoon Lee, Younghwan Lee, Chang D. Yoo
2025	J	`jnl`	Policy Learning from Large Vision-Language Model Feedback without Reward Modeling. CoRR Tung Minh Luu, Donghoon Lee, Younghwan Lee, Chang D. Yoo
2025	J	`jnl`	Revisiting Diffusion Q-Learning: From Iterative Denoising to One-Step Action Generation. CoRR Thanh Nguyen, Chang D. Yoo
2025	Misc	`conf`	Reward Generation via Large Vision-Language Model in Offline Reinforcement Learning. ICASSP Younghwan Lee, Tung Minh Luu, Donghoon Lee, Chang D. Yoo
2025	J	`jnl`	Reward Generation via Large Vision-Language Model in Offline Reinforcement Learning. CoRR Younghwan Lee, Tung Minh Luu, Donghoon Lee, Chang D. Yoo
2025	Misc	`conf`	Sample Efficient Reinforcement Learning via Large Vision Language Model Distillation. ICASSP Donghoon Lee, Tung Minh Luu, Younghwan Lee, Chang D. Yoo
2025	J	`jnl`	Sample Efficient Reinforcement Learning via Large Vision Language Model Distillation. CoRR Donghoon Lee, Tung Minh Luu, Younghwan Lee, Chang D. Yoo
2025	A	`conf`	SiamCTC: Learning Speech Representations through Monotonic Temporal Alignment. INTERSPEECH SooHwan Eom, Mark Hasegawa-Johnson, Chang D. Yoo
2025	J	`jnl`	TARO: Timestep-Adaptive Representation Alignment with Onset-Aware Conditioning for Synchronized Video-to-Audio Synthesis. CoRR Tri Ton, Ji Woo Hong, Chang D. Yoo
2025	A	`conf`	The Interspeech 2025 Speech Accessibility Project Challenge. INTERSPEECH Xiuwen Zheng, Bornali Phukon, Jonghwan Na, Ed Cutrell, Kyu J. Han, Mark Hasegawa-Johnson, Pan-Pan Jiang, Aadhrik Kuila, Colin Lea, Bob MacDonald, Gautam Varma Mantena, Venkatesh Ravichandran, Leda Sari, Katrin Tomanek, Chang D. Yoo, Chris Zwilling
2025	J	`jnl`	The Interspeech 2025 Speech Accessibility Project Challenge. CoRR Xiuwen Zheng, Bornali Phukon, Jonghwan Na, Ed Cutrell, Kyu J. Han, Mark Hasegawa-Johnson, Pan-Pan Jiang, Aadhrik Kuila, Colin Lea, Bob MacDonald, Gautam Varma Mantena, Venkatesh Ravichandran, Leda Sari, Katrin Tomanek, Chang D. Yoo, Chris Zwilling
2024	Misc	`conf`	AdaMER-CTC: Connectionist Temporal Classification with Adaptive Maximum Entropy Regularization for Automatic Speech Recognition. ICASSP SooHwan Eom, Eunseop Yoon, Hee Suk Yoon, Chanwoo Kim, Mark Hasegawa-Johnson, Chang D. Yoo
2024	—	`conf`	BI-MDRG: Bridging Image History in Multimodal Dialogue Response Generation. ECCV (31) Hee Suk Yoon, Eunseop Yoon, Joshua Tian Jin Tee, Kang Zhang, Yu-Jung Heo, Du-Seong Chang, Chang D. Yoo
2024	J	`jnl`	BI-MDRG: Bridging Image History in Multimodal Dialogue Response Generation. CoRR Hee Suk Yoon, Eunseop Yoon, Joshua Tian Jin Tee, Kang Zhang, Yu-Jung Heo, Du-Seong Chang, Chang D. Yoo
2024	A*	`conf`	C-TPT: Calibrated Test-Time Prompt Tuning for Vision-Language Models via Text Feature Dispersion. ICLR Hee Suk Yoon, Eunseop Yoon, Joshua Tian Jin Tee, Mark A. Hasegawa-Johnson, Yingzhen Li, Chang D. Yoo
2024	J	`jnl`	C-TPT: Calibrated Test-Time Prompt Tuning for Vision-Language Models via Text Feature Dispersion. CoRR Hee Suk Yoon, Eunseop Yoon, Joshua Tian Jin Tee, Mark Hasegawa-Johnson, Yingzhen Li, Chang D. Yoo
2024	J	`jnl`	Causal Localization Network for Radar Human Localization With Micro-Doppler Signature. IEEE Access Sunjae Yoon, Gwanhyeong Koo, Jun Yeop Shim, SooHwan Eom, Ji Woo Hong, Chang D. Yoo
2024	—	`conf`	Character Identifying Video Language Alignment Network for Weakly-Supervised Video-Subtitle Moment Retrieval. ICPRAI (1) Donghoon Lee, Jun Yeop Shim, Sunjae Yoon, Chang D. Yoo
2024	A*	`conf`	Cross-view Masked Diffusion Transformers for Person Image Synthesis. ICML Trung X. Pham, Kang Zhang, Chang D. Yoo
2024	J	`jnl`	Cross-view Masked Diffusion Transformers for Person Image Synthesis. CoRR Trung X. Pham, Kang Zhang, Chang D. Yoo
2024	—	`conf`	DNI: Dilutional Noise Initialization for Diffusion Video Editing. ECCV (48) Sunjae Yoon, Gwanhyeong Koo, Ji Woo Hong, Chang D. Yoo
2024	J	`jnl`	DNI: Dilutional Noise Initialization for Diffusion Video Editing. CoRR Sunjae Yoon, Gwanhyeong Koo, Ji Woo Hong, Chang D. Yoo
2024	A*	`conf`	FRAG: Frequency Adapting Group for Diffusion Video Editing. ICML Sunjae Yoon, Gwanhyeong Koo, Geonwoo Kim, Chang D. Yoo
2024	J	`jnl`	FRAG: Frequency Adapting Group for Diffusion Video Editing. CoRR Sunjae Yoon, Gwanhyeong Koo, Geonwoo Kim, Chang D. Yoo
2024	J	`jnl`	FlexiEdit: Frequency-Aware Latent Refinement for Enhanced Non-Rigid Editing. CoRR Gwanhyeong Koo, Sunjae Yoon, Ji Woo Hong, Chang D. Yoo
2024	—	`conf`	FlexiEdit: Frequency-Aware Latent Refinement for Enhanced Non-rigid Editing. ECCV (63) Gwanhyeong Koo, Sunjae Yoon, Ji Woo Hong, Chang D. Yoo
2024	Misc	`conf`	G2PU: Grapheme-To-Phoneme Transducer with Speech Units. ICASSP Heting Gao, Mark Hasegawa-Johnson, Chang D. Yoo
2024	—	`conf`	Implicit Steganography Beyond the Constraints of Modality. ECCV (86) Sojeong Song, Seoyun Yang, Chang D. Yoo, Junmo Kim
2024	A	`conf`	LI-TTA: Language Informed Test-Time Adaptation for Automatic Speech Recognition. INTERSPEECH Eunseop Yoon, Hee Suk Yoon, John B. Harvill, Mark Hasegawa-Johnson, Chang D. Yoo
2024	J	`jnl`	LI-TTA: Language Informed Test-Time Adaptation for Automatic Speech Recognition. CoRR Eunseop Yoon, Hee Suk Yoon, John B. Harvill, Mark Hasegawa-Johnson, Chang D. Yoo
2024	J	`jnl`	MDSGen: Fast and Efficient Masked Diffusion Temporal-Aware Transformers for Open-Domain Sound Generation. CoRR Trung X. Pham, Tri Ton, Chang D. Yoo
2024	A	`conf`	Mitigating Adversarial Perturbations for Deep Reinforcement Learning via Vector Quantization. IROS Tung Minh Luu, Thanh Nguyen, Tee Joshua Tian Jin, Sungwoon Kim, Chang D. Yoo
2024	J	`jnl`	Mitigating Adversarial Perturbations for Deep Reinforcement Learning via Vector Quantization. CoRR Tung Minh Luu, Thanh Nguyen, Tee Joshua Tian Jin, Sungwoon Kim, Chang D. Yoo
2024	J	`jnl`	On the Perturbed States for Transformed Input-robust Reinforcement Learning. CoRR Tung Minh Luu, Haeyong Kang, Tri Ton, Thanh Nguyen, Chang D. Yoo
2024	J	`jnl`	Physics Informed Distillation for Diffusion Models. CoRR Joshua Tian Jin Tee, Kang Zhang, Hee Suk Yoon, Dhananjaya N. Gowda, Chanwoo Kim, Chang D. Yoo
2024	J	`jnl`	Physics Informed Distillation for Diffusion Models. Trans. Mach. Learn. Res. Joshua Tian Jin Tee, Kang Zhang, Hee Suk Yoon, Dhananjaya N. Gowda, Chanwoo Kim, Chang D. Yoo
2024	A	`conf`	Predictive Coding for Decision Transformer. IROS Tung Minh Luu, Donghoon Lee, Chang D. Yoo
2024	J	`jnl`	Predictive Coding for Decision Transformer. CoRR Tung Minh Luu, Donghoon Lee, Chang D. Yoo
2024	A*	`conf`	Progressive Fourier Neural Representation for Sequential Video Compilation. ICLR Haeyong Kang, Jaehong Yoon, Dahyun Kim, Sung Ju Hwang, Chang D. Yoo
2024	A*	`conf`	Querying Easily Flip-flopped Samples for Deep Active Learning. ICLR Seong Jin Cho, Gwangsu Kim, Junghyun Lee, Jinwoo Shin, Chang D. Yoo
2024	J	`jnl`	Querying Easily Flip-flopped Samples for Deep Active Learning. CoRR Seong Jin Cho, Gwangsu Kim, Junghyun Lee, Jinwoo Shin, Chang D. Yoo
2024	J	`jnl`	Scalable SoftGroup for 3D Instance Segmentation on Point Clouds. IEEE Trans. Pattern Anal. Mach. Intell. Thang Vu, Kookhoi Kim, Thanh Xuan Nguyen, Tung Minh Luu, Junyeong Kim, Chang D. Yoo
2024	A*	`conf`	SimPSI: A Simple Strategy to Preserve Spectral Information in Time Series Data Augmentation. AAAI Hyun Ryu, Sunjae Yoon, Hee Suk Yoon, Eunseop Yoon, Chang D. Yoo
2024	J	`jnl`	Soft-TransFormers for Continual Learning. CoRR Haeyong Kang, Chang D. Yoo
2024	J	`jnl`	TLCR: Token-Level Continuous Reward for Fine-grained Reinforcement Learning from Human Feedback. CoRR Eunseop Yoon, Hee Suk Yoon, SooHwan Eom, Gunsoo Han, Daniel Wontae Nam, DaeJin Jo, Kyoung-Woon On, Mark A. Hasegawa-Johnson, Sungwoong Kim, Chang D. Yoo
2024	J	`jnl`	TPC: Test-time Procrustes Calibration for Diffusion-based Human Image Animation. CoRR Sunjae Yoon, Gwanhyeong Koo, Younghwan Lee, Chang D. Yoo
2024	—	`conf`	Towards Robust Policy: Enhancing Offline Reinforcement Learning with Adversarial Attacks and Defenses. ICPRAI (2) Thanh Nguyen, Tung Minh Luu, Tri Ton, Chang D. Yoo
2024	J	`jnl`	Towards Robust Policy: Enhancing Offline Reinforcement Learning with Adversarial Attacks and Defenses. CoRR Thanh Xuan Nguyen, Tung Minh Luu, Tri Ton, Chang D. Yoo
2024	J	`jnl`	Towards Unsupervised Speech Recognition Without Pronunciation Models. CoRR Junrui Ni, Liming Wang, Yang Zhang, Kaizhi Qian, Heting Gao, Mark Hasegawa-Johnson, Chang D. Yoo
2024	J	`jnl`	Uncertainty-Aware Rank-One MIMO Q Network Framework for Accelerated Offline Reinforcement Learning. IEEE Access Thanh Xuan Nguyen, Tung Minh Luu, Tri Ton, Sungwoong Kim, Chang D. Yoo
2024	Misc	`conf`	Unsupervised Speech Recognition with N-skipgram and Positional Unigram Matching. ICASSP Liming Wang, Mark Hasegawa-Johnson, Chang D. Yoo
2024	Misc	`conf`	Wavelet-Guided Acceleration of Text Inversion in Diffusion-Based Image Editing. ICASSP Gwanhyeong Koo, Sunjae Yoon, Chang D. Yoo
2024	J	`jnl`	Wavelet-Guided Acceleration of Text Inversion in Diffusion-Based Image Editing. CoRR Gwanhyeong Koo, Sunjae Yoon, Chang D. Yoo
2024	—	`conf`	Zero-Shot Dual-Path Integration Framework for Open-Vocabulary 3D Instance Segmentation. CVPR Workshops Tri Ton, Ji Woo Hong, SooHwan Eom, Jun Yeop Shim, Junyeong Kim, Chang D. Yoo
2024	J	`jnl`	Zero-Shot Dual-Path Integration Framework for Open-Vocabulary 3D Instance Segmentation. CoRR Tri Ton, Ji Woo Hong, SooHwan Eom, Jun Yeop Shim, Junyeong Kim, Chang D. Yoo
2023	J	`jnl`	A Theory of Unsupervised Speech Recognition. CoRR Liming Wang, Mark A. Hasegawa-Johnson, Chang D. Yoo
2023	J	`jnl`	Continual Learning: Forget-free Winning Subnetworks for Video Representations. CoRR Haeyong Kang, Jaehong Yoon, Sung Ju Hwang, Chang D. Yoo
2023	Misc	`conf`	Counterfactual Two-Stage Debiasing For Video Corpus Moment Retrieval. ICASSP Sunjae Yoon, Ji Woo Hong, SooHwan Eom, Hee Suk Yoon, Eunseop Yoon, Daehyeok Kim, Junyeong Kim, Chanwoo Kim, Chang D. Yoo
2023	J	`jnl`	DifAugGAN: A Practical Diffusion-style Data Augmentation for GAN-based Single Image Super-resolution. CoRR Axi Niu, Kang Zhang, Joshua Tian Jin Tee, Trung X. Pham, Jinqiu Sun, Chang D. Yoo, In So Kweon, Yanning Zhang
2023	J	`jnl`	DimCL: Dimensional Contrastive Learning For Improving Self-Supervised Learning. CoRR Thanh Xuan Nguyen, Trung X. Pham, Chaoning Zhang, Tung Minh Luu, Thang Vu, Chang D. Yoo
2023	J	`jnl`	DimCL: Dimensional Contrastive Learning for Improving Self-Supervised Learning. IEEE Access Thanh Xuan Nguyen, Trung Xuan Pham, Chaoning Zhang, Tung Minh Luu, Thang Vu, Chang D. Yoo
2023	A*	`conf`	ESD: Expected Squared Difference as a Tuning-Free Trainable Calibration Measure. ICLR Hee Suk Yoon, Joshua Tian Jin Tee, Eunseop Yoon, Sunjae Yoon, Gwangsu Kim, Yingzhen Li, Chang D. Yoo
2023	J	`jnl`	ESD: Expected Squared Difference as a Tuning-Free Trainable Calibration Measure. CoRR Hee Suk Yoon, Joshua Tian Jin Tee, Eunseop Yoon, Sunjae Yoon, Gwangsu Kim, Yingzhen Li, Chang D. Yoo
2023	J	`jnl`	Efficient Convolutional Neural Networks for Semiconductor Wafer Bin Map Classification. Sensors EunMi Shin, Chang D. Yoo
2023	J	`jnl`	Flexible Cross-Modal Steganography via Implicit Representations. CoRR Seoyun Yang, Sojeong Song, Chang D. Yoo, Junmo Kim
2023	J	`jnl`	Forget-free Continual Learning with Soft-Winning SubNetworks. CoRR Haeyong Kang, Jaehong Yoon, Sultan Rizky Hikmawan Madjid, Sung Ju Hwang, Chang D. Yoo
2023	J	`jnl`	HEAR: Hearing Enhanced Audio Response for Video-grounded Dialogue. CoRR Sunjae Yoon, Dahyun Kim, Eunseop Yoon, Hee Suk Yoon, Junyeong Kim, Chang D. Yoo
2023	J	`jnl`	INTapt: Information-Theoretic Adversarial Prompt Tuning for Enhanced Non-Native Speech Recognition. CoRR Eunseop Yoon, Hee Suk Yoon, John B. Harvill, Mark Hasegawa-Johnson, Chang D. Yoo
2023	J	`jnl`	Joint Path Alignment Framework for 3D Human Pose and Shape Estimation From Video. IEEE Access Ji Woo Hong, Sunjae Yoon, Junyeong Kim, Chang D. Yoo
2023	J	`jnl`	Learning Pseudo-Labeler beyond Noun Concepts for Open-Vocabulary Object Detection. CoRR Sunghun Kang, Junbum Cha, Jonghwan Mun, Byungseok Roh, Chang D. Yoo
2023	J	`jnl`	Maximum margin learning of t-SPNs for cell classification with filtered input. CoRR Haeyong Kang, Chang D. Yoo, Yongcheon Na
2023	A	`conf`	Mitigating the Exposure Bias in Sentence-Level Grapheme-to-Phoneme (G2P) Transduction. INTERSPEECH Eunseop Yoon, Hee Suk Yoon, Dhananjaya Gowda, SooHwan Eom, Daehyeok Kim, John B. Harvill, Heting Gao, Mark Hasegawa-Johnson, Chanwoo Kim, Chang D. Yoo
2023	J	`jnl`	Mitigating the Exposure Bias in Sentence-Level Grapheme-to-Phoneme (G2P) Transduction. CoRR Eunseop Yoon, Hee Suk Yoon, Dhananjaya Gowda, SooHwan Eom, Daehyeok Kim, John B. Harvill, Heting Gao, Mark Hasegawa-Johnson, Chanwoo Kim, Chang D. Yoo
2023	J	`jnl`	Neutral Editing Framework for Diffusion-based Video Editing. CoRR Sunjae Yoon, Gwanhyeong Koo, Ji Woo Hong, Chang D. Yoo
2023	A*	`conf`	On the Soft-Subnetwork for Few-Shot Class Incremental Learning. ICLR Haeyong Kang, Jaehong Yoon, Sultan Rizky Hikmawan Madjid, Sung Ju Hwang, Chang D. Yoo
2023	—	`conf`	One-Shot Exemplification Modeling via Latent Sense Representations. RepL4NLP@ACL John B. Harvill, Mark Hasegawa-Johnson, Hee Suk Yoon, Chang D. Yoo, Eunseop Yoon
2023	J	`jnl`	Progressive Neural Representation for Sequential Video Compilation. CoRR Haeyong Kang, Dahyun Kim, Jaehong Yoon, Sung Ju Hwang, Chang D. Yoo
2023	A*	`conf`	SCANet: Scene Complexity Aware Network for Weakly-Supervised Video Moment Retrieval. ICCV Sunjae Yoon, Gwanhyeong Koo, Dahyun Kim, Chang D. Yoo
2023	J	`jnl`	SCANet: Scene Complexity Aware Network for Weakly-Supervised Video Moment Retrieval. CoRR Sunjae Yoon, Gwanhyeong Koo, Dahyun Kim, Chang D. Yoo
2023	J	`jnl`	Self-Supervised Visual Representation Learning via Residual Momentum. IEEE Access Trung Xuan Pham, Axi Niu, Kang Zhang, Joshua Tian Jin Tee, Ji Woo Hong, Chang D. Yoo
2023	J	`jnl`	SimPSI: A Simple Strategy to Preserve Spectral Information in Time Series Data Augmentation. CoRR Hyun Ryu, Sunjae Yoon, Hee Suk Yoon, Eunseop Yoon, Chang D. Yoo
2023	J	`jnl`	Skew Class-Balanced Re-Weighting for Unbiased Scene Graph Generation. Mach. Learn. Knowl. Extr. Haeyong Kang, Chang D. Yoo
2023	J	`jnl`	Skew Class-balanced Re-weighting for Unbiased Scene Graph Generation. CoRR Haeyong Kang, Chang D. Yoo
2023	J	`jnl`	Unsupervised Speech Recognition with N-Skipgram and Positional Unigram Matching. CoRR Liming Wang, Mark Hasegawa-Johnson, Chang D. Yoo
2022	J	`jnl`	Blending Query Strategy of Active Learning for Imbalanced Data. IEEE Access Gwangsu Kim, Chang D. Yoo
2022	J	`jnl`	CE-BART: Cause-and-Effect BART for Visual Commonsense Generation. Sensors Junyeong Kim, Ji Woo Hong, Sunjae Yoon, Chang D. Yoo
2022	J	`jnl`	Cascaded MPN: Cascaded Moment Proposal Network for Video Corpus Moment Retrieval. IEEE Access Sunjae Yoon, Dahyun Kim, Junyeong Kim, Chang D. Yoo
2022	J	`jnl`	Corrections to "Blending Query Strategy of Active Learning for Imbalanced Data". IEEE Access Gwangsu Kim, Chang D. Yoo
2022	—	`conf`	Decoupled Adversarial Contrastive Learning for Self-supervised Adversarial Robustness. ECCV (30) Chaoning Zhang, Kang Zhang, Chenshuang Zhang, Axi Niu, Jiu Feng, Chang D. Yoo, In So Kweon
2022	J	`jnl`	Decoupled Adversarial Contrastive Learning for Self-supervised Adversarial Robustness. CoRR Chaoning Zhang, Kang Zhang, Chenshuang Zhang, Axi Niu, Jiu Feng, Chang D. Yoo, In So Kweon
2022	A*	`conf`	Dual Temperature Helps Contrastive Learning Without Many Negative Samples: Towards Understanding and Simplifying MoCo. CVPR Chaoning Zhang, Kang Zhang, Trung X. Pham, Axi Niu, Zhinan Qiao, Chang D. Yoo, In So Kweon
2022	J	`jnl`	Dual Temperature Helps Contrastive Learning Without Many Negative Samples: Towards Understanding and Simplifying MoCo. CoRR Chaoning Zhang, Kang Zhang, Trung X. Pham, Axi Niu, Zhinan Qiao, Chang D. Yoo, In So Kweon
2022	J	`jnl`	Dual-Scale Doppler Attention for Human Identification. Sensors Sunjae Yoon, Dahyun Kim, Ji Woo Hong, Junyeong Kim, Chang D. Yoo
2022	J	`jnl`	Fair Facial Attribute Classification via Causal Graph-Based Attribute Translation. Sensors Sunghun Kang, Gwangsu Kim, Chang D. Yoo
2022	A*	`conf`	Fast and Efficient MMD-Based Fair PCA via Optimization over Stiefel Manifold. AAAI Junghyun Lee, Gwangsu Kim, Mahbod Olfat, Mark Hasegawa-Johnson, Chang D. Yoo
2022	A*	`conf`	Forget-free Continual Learning with Winning Subnetworks. ICML Haeyong Kang, Rusty John Lloyd Mina, Sultan Rizky Hikmawan Madjid, Jaehong Yoon, Mark Hasegawa-Johnson, Sung Ju Hwang, Chang D. Yoo
2022	A	`conf`	Frame-Level Stutter Detection. INTERSPEECH John B. Harvill, Mark Hasegawa-Johnson, Chang D. Yoo
2022	A*	`conf`	How Does SimSiam Avoid Collapse Without Negative Samples? A Unified Understanding with Self-supervised Contrastive Learning. ICLR Chaoning Zhang, Kang Zhang, Chenshuang Zhang, Trung X. Pham, Chang D. Yoo, In So Kweon
2022	J	`jnl`	How Does SimSiam Avoid Collapse Without Negative Samples? A Unified Understanding with Self-supervised Contrastive Learning. CoRR Chaoning Zhang, Kang Zhang, Chenshuang Zhang, Trung X. Pham, Chang D. Yoo, In So Kweon
2022	J	`jnl`	Information-Theoretic Text Hallucination Reduction for Video-grounded Dialogue. CoRR Sunjae Yoon, Eunseop Yoon, Hee Suk Yoon, Junyeong Kim, Chang D. Yoo
2022	J	`jnl`	LAD: A Hybrid Deep Learning System for Benign Paroxysmal Positional Vertigo Disorders Diagnostic. IEEE Access Trung Xuan Pham, Jin Woong Choi, Rusty John Lloyd Mina, Thanh Xuan Nguyen, Sultan Rizky Hikmawan Madjid, Chang D. Yoo
2022	J	`jnl`	Learning Imbalanced Datasets with Maximum Margin Loss. CoRR Haeyong Kang, Thang Vu, Chang D. Yoo
2022	J	`jnl`	Noise Augmentation Is All You Need For FGSM Fast Adversarial Training: Catastrophic Overfitting And Robust Overfitting Require Different Augmentation. CoRR Chaoning Zhang, Kang Zhang, Axi Niu, Chenshuang Zhang, Jiu Feng, Chang D. Yoo, In So Kweon
2022	J	`jnl`	On the Pros and Cons of Momentum Encoder in Self-Supervised Visual Representation Learning. CoRR Trung X. Pham, Chaoning Zhang, Axi Niu, Kang Zhang, Chang D. Yoo
2022	J	`jnl`	On the Soft-Subnetwork for Few-shot Class Incremental Learning. CoRR Haeyong Kang, Jaehong Yoon, Sultan Rizky Hikmawan Madjid, Sung Ju Hwang, Chang D. Yoo
2022	J	`jnl`	SMSMix: Sense-Maintained Sentence Mixup for Word Sense Disambiguation. CoRR Hee Suk Yoon, Eunseop Yoon, John B. Harvill, Sunjae Yoon, Mark Hasegawa-Johnson, Chang D. Yoo
2022	J	`jnl`	Seamless equal accuracy ratio for inclusive CTC speech recognition. Speech Commun. Heting Gao, Xiaoxuan Wang, Sunghun Kang, Rusty Mina, Dias Issa, John B. Harvill, Leda Sari, Mark Hasegawa-Johnson, Chang D. Yoo
2022	—	`conf`	Selective Query-Guided Debiasing for Video Corpus Moment Retrieval. ECCV (36) Sunjae Yoon, Ji Woo Hong, Eunseop Yoon, Dahyun Kim, Junyeong Kim, Hee Suk Yoon, Chang D. Yoo
2022	J	`jnl`	Selective Query-guided Debiasing Network for Video Corpus Moment Retrieval. CoRR Sunjae Yoon, Ji Woo Hong, Eunseop Yoon, Dahyun Kim, Junyeong Kim, Hee Suk Yoon, Chang D. Yoo
2022	J	`jnl`	Self-Supervised Visual Representation Learning via Residual Momentum. CoRR Trung X. Pham, Axi Niu, Kang Zhang, Sultan Rizky Hikmawan Madjid, Ji Woo Hong, Daehyeok Kim, Joshua Tian Jin Tee, Chang D. Yoo
2022	Misc	`conf`	Semantic Association Network for Video Corpus Moment Retrieval. ICASSP Dahyun Kim, Sunjae Yoon, Ji Woo Hong, Chang D. Yoo
2022	A*	`conf`	SoftGroup for 3D Instance Segmentation on Point Clouds. CVPR Thang Vu, Kookhoi Kim, Tung Minh Luu, Thanh Xuan Nguyen, Chang D. Yoo
2022	J	`jnl`	SoftGroup for 3D Instance Segmentation on Point Clouds. CoRR Thang Vu, Kookhoi Kim, Tung Minh Luu, Xuan Thanh Nguyen, Chang D. Yoo
2022	J	`jnl`	SoftGroup++: Scalable 3D Instance Segmentation with Octree Pyramid Grouping. CoRR Thang Vu, Kookhoi Kim, Tung Minh Luu, Thanh Xuan Nguyen, Junyeong Kim, Chang D. Yoo
2022	J	`jnl`	Survival Analysis of COVID-19 Patients With Symptoms Information by Machine Learning Algorithms. IEEE Access Gwangsu Kim, Chang D. Yoo, Seong J. Yang
2022	J	`jnl`	Utilizing Skipped Frames in Action Repeats for Improving Sample Efficiency in Reinforcement Learning. IEEE Access Tung Minh Luu, Thanh Xuan Nguyen, Thang Vu, Chang D. Yoo
2022	J	`jnl`	Visual Pretraining via Contrastive Predictive Model for Pixel-Based Reinforcement Learning. Sensors Tung Minh Luu, Thang Vu, Thanh Xuan Nguyen, Chang D. Yoo
2021	J	`jnl`	Counterfactually Fair Automatic Speech Recognition. IEEE ACM Trans. Audio Speech Lang. Process. Leda Sari, Mark Hasegawa-Johnson, Chang D. Yoo
2021	J	`jnl`	Fast and Efficient MMD-based Fair PCA via Optimization over Stiefel Manifold. CoRR Junghyun Lee, Gwangsu Kim, Matt Olfat, Mark Hasegawa-Johnson, Chang D. Yoo
2021	J	`jnl`	GDCA: GAN-based single image super resolution with Dual discriminators and Channel Attention. CoRR Thanh Xuan Nguyen, Hieu Hoang, Chang D. Yoo
2021	J	`jnl`	Hindsight Goal Ranking on Replay Buffer for Sparse Reward Environment. IEEE Access Tung Minh Luu, Chang D. Yoo
2021	J	`jnl`	Hindsight Goal Ranking on Replay Buffer for Sparse Reward Environment. CoRR Tung Minh Luu, Chang D. Yoo
2021	B	`conf`	Learning Imbalanced Datasets With Maximum Margin Loss. ICIP Haeyong Kang, Thang Vu, Chang D. Yoo
2021	Misc	`conf`	Robust Maml: Prioritization Task Buffer with Adaptive Learning Process for Model-Agnostic Meta-Learning. ICASSP Thanh Xuan Nguyen, Tung Minh Luu, Trung X. Pham, Sanzhar Rakhimkul, Chang D. Yoo
2021	A*	`conf`	SCNet: Training Inference Sample Consistency for Instance Segmentation. AAAI Thang Vu, Haeyong Kang, Chang D. Yoo
2021	A	`conf`	Sample-efficient Reinforcement Learning Representation Learning with Curiosity Contrastive Forward Dynamics Model. IROS Thanh Xuan Nguyen, Tung Minh Luu, Thang Vu, Chang D. Yoo
2021	J	`jnl`	Sample-efficient Reinforcement Learning Representation Learning with Curiosity Contrastive Forward Dynamics Model. CoRR Thanh Xuan Nguyen, Tung Minh Luu, Thang Vu, Chang D. Yoo
2021	J	`jnl`	Self-supervised Learning with Local Attention-Aware Feature. CoRR Trung X. Pham, Rusty John Lloyd Mina, Dias Issa, Chang D. Yoo
2021	A*	`conf`	Semantic Grouping Network for Video Captioning. AAAI Hobin Ryu, Sunghun Kang, Haeyong Kang, Chang D. Yoo
2021	J	`jnl`	Semantic Grouping Network for Video Captioning. CoRR Hobin Ryu, Sunghun Kang, Haeyong Kang, Chang D. Yoo
2021	B	`conf`	Sphererpn: Learning Spheres For High-Quality Region Proposals On 3d Point Clouds Object Detection. ICIP Thang Vu, Kookhoi Kim, Haeyong Kang, Xuan Thanh Nguyen, Tung Minh Luu, Chang D. Yoo
2021	A*	`conf`	Structured Co-reference Graph Attention for Video-grounded Dialogue. AAAI Junyeong Kim, Sunjae Yoon, Dahyun Kim, Chang D. Yoo
2021	J	`jnl`	Structured Co-reference Graph Attention for Video-grounded Dialogue. CoRR Junyeong Kim, Sunjae Yoon, Dahyun Kim, Chang D. Yoo
2021	B	`conf`	Weakly-Supervised Moment Retrieval Network for Video Corpus Moment Retrieval. ICIP Sunjae Yoon, Dahyun Kim, Ji Woo Hong, Junyeong Kim, Kookhoi Kim, Chang D. Yoo
2021	—	`conf`	Worldly Wise (WoW) - Cross-Lingual Knowledge Fusion for Fact-based Visual Spoken-Question Answering. NAACL-HLT Kiran Ramnath, Leda Sari, Mark Hasegawa-Johnson, Chang D. Yoo
2020	J	`jnl`	CNN-Based Learnable Gammatone Filterbank and Equal-Loudness Normalization for Environmental Sound Classification. IEEE Signal Process. Lett. Hyunsin Park, Chang D. Yoo
2020	A*	`conf`	Learning Augmentation Network via Influence Functions. CVPR Donghoon Lee, Hyunsin Park, Trung X. Pham, Chang D. Yoo
2020	A*	`conf`	Modality Shifting Attention Network for Multi-Modal Video Question Answering. CVPR Junyeong Kim, Minuk Ma, Trung X. Pham, Kyungsu Kim, Chang D. Yoo
2020	J	`jnl`	Modality Shifting Attention Network for Multi-modal Video Question Answering. CoRR Junyeong Kim, Minuk Ma, Trung X. Pham, Kyungsu Kim, Chang D. Yoo
2020	J	`jnl`	SCNet: Training Inference Sample Consistency for Instance Segmentation. CoRR Thang Vu, Haeyong Kang, Chang D. Yoo
2020	—	`conf`	VLANet: Video-Language Alignment Network for Weakly-Supervised Video Moment Retrieval. ECCV (28) Minuk Ma, Sunjae Yoon, Junyeong Kim, Youngjoon Lee, Sunghun Kang, Chang D. Yoo
2020	J	`jnl`	VLANet: Video-Language Alignment Network for Weakly-Supervised Video Moment Retrieval. CoRR Minuk Ma, Sunjae Yoon, Junyeong Kim, Youngjoon Lee, Sunghun Kang, Chang D. Yoo
2019	J	`jnl`	Cascade RPN: Delving into High-Quality Region Proposal Network with Adaptive Convolution. CoRR Thang Vu, Hyunjun Jang, Trung X. Pham, Chang D. Yoo
2019	C	`ed.`	Digital Forensics and Watermarking - 17th International Workshop, IWDW 2018, Jeju Island, Korea, October 22-24, 2018, Proceedings IWDW Chang D. Yoo, Yun Qing Shi, Hyoung-Joong Kim, Alessandro Piva, Gwangsu Kim
2019	A*	`conf`	Edge-Labeling Graph Neural Network for Few-Shot Learning. CVPR Jongmin Kim, Taesup Kim, Sungwoong Kim, Chang D. Yoo
2019	J	`jnl`	Edge-labeling Graph Neural Network for Few-shot Learning. CoRR Jongmin Kim, Taesup Kim, Sungwoong Kim, Chang D. Yoo
2019	B	`conf`	Gaining Extra Supervision via Multi-task learning for Multi-Modal Video Question Answering. IJCNN Junyeong Kim, Minuk Ma, Kyungsu Kim, Sungjin Kim, Chang D. Yoo
2019	J	`jnl`	Gaining Extra Supervision via Multi-task learning for Multi-Modal Video Question Answering. CoRR Junyeong Kim, Minuk Ma, Kyungsu Kim, Sungjin Kim, Chang D. Yoo
2019	—	`conf`	Object Detection for Similar Appearance Objects Based on Entropy. RiTA Minjeong Ju, Sangkeun Moon, Chang D. Yoo
2019	A*	`conf`	Progressive Attention Memory Network for Movie Story Question Answering. CVPR Junyeong Kim, Minuk Ma, Kyungsu Kim, Sungjin Kim, Chang D. Yoo
2019	J	`jnl`	Progressive Attention Memory Network for Movie Story Question Answering. CoRR Junyeong Kim, Minuk Ma, Kyungsu Kim, Sungjin Kim, Chang D. Yoo
2018	B	`conf`	Action Recognition: First-and Second-Order 3D Feature in Bi-Directional Attention Network. ICIP Oh Chul Kwon, Junyeong Kim, Chang D. Yoo
2018	—	`conf`	Fast and Efficient Image Quality Enhancement via Desubpixel Convolutional Neural Networks. ECCV Workshops (5) Thang Vu, Cao Van Nguyen, Trung X. Pham, Tung Minh Luu, Chang D. Yoo
2018	—	`conf`	ImaGAN: Unsupervised Training of Conditional Joint CycleGAN for Transferring Style with Core Structures in Content Preserved. ACCV (2) Kangmin Bae, Minuk Ma, Hyunjun Jang, Minjeong Ju, Hyoungwoo Park, Chang D. Yoo
2018	—	`conf`	Perception-Enhanced Image Super-Resolution via Relativistic Generative Adversarial Networks. ECCV Workshops (5) Thang Vu, Tung Minh Luu, Chang D. Yoo
2018	—	`conf`	Pivot Correlational Neural Network for Multimodal Video Categorization. ECCV (14) Sunghun Kang, Junyeong Kim, Hyunsoo Choi, Sungjin Kim, Chang D. Yoo
2018	C	`conf`	Unsupervised Domain Adaptation for Object Detection Using Distribution Matching in Various Feature Level. IWDW Hyoungwoo Park, Minjeong Ju, Sangkeun Moon, Chang D. Yoo
2017	J	`jnl`	A Resizable Mini-batch Gradient Descent based on a Randomized Weighted Majority. CoRR Seong Jin Cho, Sunghun Kang, Chang D. Yoo
2017	J	`jnl`	Complex Video Scene Analysis Using Kernelized-Collaborative Behavior Pattern Learning Based on Hierarchical Representative Object Behaviors. IEEE Trans. Circuits Syst. Video Technol. Sanghyuk Park, Hyunsin Park, Chang D. Yoo
2017	B	`conf`	Content adaptive video summarization using spatio-temporal features. ICIP Hyunwoo Nam, Chang D. Yoo
2017	B	`conf`	Deep partial person re-identification via attention model. ICIP Junyeong Kim, Chang D. Yoo
2017	J	`jnl`	Early Improving Recurrent Elastic Highway Network. CoRR Hyunsin Park, Chang D. Yoo
2017	Misc	`conf`	Melody extraction and detection through LSTM-RNN with harmonic sum loss. ICASSP Hyunsin Park, Chang D. Yoo
2017	J	`jnl`	Meta-Learning via Feature-Label Memory Network. CoRR Dawit Mureja, Hyunsin Park, Chang D. Yoo
2017	B	`conf`	Multi-view visual speech recognition based on multi task learning. ICIP Houjeung Han, Sunghun Kang, Chang D. Yoo
2017	—	`conf`	Neural network-based autonomous navigation for a homecare mobile robot. BigComp Byungsoo Ko, Ho-Jin Choi, Chansol Hong, Jong-Hwan Kim, Oh Chul Kwon, Chang D. Yoo
2016	J	`jnl`	Maximum Margin Learning of t-SPNs for Cell Classification With Filtered Input. IEEE J. Sel. Top. Signal Process. Haeyong Kang, Chang D. Yoo, Yongcheon Na
2016	B	`conf`	Multimodal representation: Kneser-ney smoothing/skip-gram based neural language model. ICIP Mingoo Song, Chang D. Yoo
2015	B	`conf`	Face attribute classification using attribute-aware correlation map and gated convolutional neural networks. ICIP Sunghun Kang, Donghoon Lee, Chang D. Yoo
2015	J	`jnl`	Underdetermined Convolutive BSS: Bayes Risk Minimization Based on a Mixture of Super-Gaussian Posterior Approximation. IEEE ACM Trans. Audio Speech Lang. Process. Janghoon Cho, Chang D. Yoo
2015	J	`jnl`	Underdetermined High-Resolution DOA Estimation: A 2ρth-Order Source-Signal/Noise Subspace Constrained Optimization. IEEE Trans. Signal Process. Jinho Choi, Chang D. Yoo
2014	B	`conf`	A hierarchical-structured dictionary learning for image classification. ICIP Jaesik Yoon, Jinho Choi, Chang D. Yoo
2014	Misc	`conf`	Joint learning of foreground region labeling and depth ordering. ICASSP Youngjoo Seo, Jongmin Kim, Hoyong Jang, Tae-Ho Kim, Chang D. Yoo
2014	B	`conf`	Salient object detection using bipartite dictionary. ICIP Yuna Seo, Donghoon Lee, Chang D. Yoo
2013	Misc	`conf`	A maximum likelihood approach for underdetermined TDOA estimation. ICASSP Janghoon Cho, Chang D. Yoo
2013	J	`jnl`	Task-Specific Image Partitioning. IEEE Trans. Image Process. Sungwoong Kim, Sebastian Nowozin, Pushmeet Kohli, Chang D. Yoo
2012	—	`conf`	Joint Kernel Learning for Supervised Image Segmentation. ACCV (1) Jongmin Kim, Youngjoo Seo, Sanghyuk Park, Sungrack Yun, Chang D. Yoo
2012	J	`jnl`	Loss-Scaled Large-Margin Gaussian Mixture Models for Speech Emotion Classification. IEEE Trans. Speech Audio Process. Sungrack Yun, Chang D. Yoo
2012	—	`conf`	Phoneme Classification using Constrained Variational Gaussian Process Dynamical System. NIPS Hyunsin Park, Sungrack Yun, Sanghyuk Park, Jongmin Kim, Chang D. Yoo
2012	—	`conf`	Sparsity Sharing Embedding for Face Verification. ACCV (2) Donghoon Lee, Hyunsin Park, Junyoung Chung, Youngook Song, Chang D. Yoo
2011	A	`conf`	A High Resolution Multiple Source Localization Based on Generalized Cumulant Structure (GCS) Matrix. INTERSPEECH Jinho Choi, Chang D. Yoo
2011	J	`jnl`	Large Margin Discriminative Semi-Markov Model for Phonetic Recognition. IEEE Trans. Speech Audio Process. Sungwoong Kim, Sungrack Yun, Chang D. Yoo
2011	Misc	`conf`	Learning a discriminative visual codebook using homonym scheme. ICASSP Seungryul Baek, Chang D. Yoo, Sungrack Yun
2011	—	`conf`	Melody Extraction based on Harmonic Coded Structure. ISMIR Sihyun Joo, Sanghun Park, Seokhwan Jo, Chang D. Yoo
2011	J	`jnl`	Melody Tracking Based on Sequential Bayesian Model. IEEE J. Sel. Top. Signal Process. Seokhwan Jo, Chang D. Yoo, Arnaud Doucet
2011	A*	`conf`	Variable grouping for energy minimization. CVPR Taesup Kim, Sebastian Nowozin, Pushmeet Kohli, Chang D. Yoo
2010	A	`conf`	A maximum a posteriori sound source localization in reverberant and noisy conditions. INTERSPEECH Jinho Choi, Chang D. Yoo
2010	—	`conf`	Melody Extraction from Polyphonic Audio Based on Particle Filter. ISMIR Seokhwan Jo, Chang D. Yoo
2010	A	`conf`	Melody pitch estimation based on range estimation and candidate extraction using harmonic structure model. INTERSPEECH Seokhwan Jo, Sihyun Joo, Chang D. Yoo
2010	J	`jnl`	Psychoacoustically Constrained and Distortion Minimized Speech Enhancement. IEEE Trans. Speech Audio Process. Seokhwan Jo, Chang D. Yoo
2009	Misc	`conf`	Psychoacoustically constrained and distortion minimized speech enhancement algorithm. ICASSP Seokhwan Jo, Chang D. Yoo
2009	J	`jnl`	Underdetermined blind source separation based on subspace representation. IEEE Trans. Signal Process. Sang-Gyun Kim, Chang D. Yoo
2008	J	`jnl`	Alias-Free Subband Adaptive Filtering With Critical Sampling. IEEE Trans. Signal Process. Sang-Gyun Kim, Chang D. Yoo, Truong Q. Nguyen
2008	A	`conf`	Development of a simple free viewpoint video system. ICME Seokhwan Jo, Dohyun Lee, Yoonseob Kim, Chang D. Yoo
2007	—	`conf`	A Novel Adaptive Crosstalk Cancellation using Psychoacoustic Model for 3D Audio. ICASSP (1) Jun Jun Seong Kim, Sang-Gyun Kim, Chang D. Yoo
2007	—	`conf`	Speech Enhancement Based on the Decomposition of Speech Into Deterministic and Stochastic Components and Psychoacoustic Model. ICASSP (4) Seokhwan Jo, Chang D. Yoo
2006	—	`conf`	A Novel Embedding Method For An Anti-Collusion Fingerprinting By Embedding Both A Code And An Orthogonal Fingerprint. ICASSP (5) Dalwon Jang, Chang D. Yoo
2006	—	`conf`	Syllable Lattice Based Re-Scoring For Speaker Verification. ICASSP (1) Minho Jin, Frank K. Soong, Chang D. Yoo
2006	—	`conf`	Video Fingerprinting Based on Centroids of Gradient Orientations. ICASSP (2) Sunil Lee, Chang D. Yoo
2005	—	`conf`	An SVD-Based Watermarking Method for Image Content Authentication with Improved Security. ICASSP (2) Seungjae Lee, Dalwon Jang, Chang D. Yoo
2005	—	`conf`	Audio fingerprinting based on normalized spectral subband centroids. ICASSP (3) Jin S. Seo, Minho Jin, Sunil Lee, Dalwon Jang, Seungjae Lee, Chang D. Yoo
2004	A	`conf`	Blind separation of speech and sub-Gaussian signals in underdetermined case. INTERSPEECH Sang-Gyun Kim, Chang D. Yoo
2004	—	`conf`	Underdetermined Independent Component Analysis by Data Generation. ICA Sang-Gyun Kim, Chang D. Yoo
2003	A	`conf`	A novel rate selection algorithm for transcoding CELP-type codec and SMV. INTERSPEECH Dalwon Jang, Seongho Seo, Sunil Lee, Chang D. Yoo
2003	—	`conf`	A novel transcoding algorithm for AMR and EVRC speech codecs via direct parameter transformation. ICASSP (2) Sunil Lee, Seongho Seo, Dalwon Jang, Chang D. Yoo
2003	A	`conf`	A novel transcoding algorithm for SMV and g.723.1 speech coders via direct parameter transformation. INTERSPEECH Seongho Seo, Dalwon Jang, Sunil Lee, Chang D. Yoo
2003	A	`conf`	A robust and sensitive word boundary decision algorithm. INTERSPEECH Jong Uk Kim, Sang-Gyun Kim, Chang D. Yoo
2003	A	`conf`	Accuracy improved double-talk detector based on state transition diagram. INTERSPEECH Sang-Gyun Kim, Jong Uk Kim, Chang D. Yoo
2003	—	`conf`	Affine transform resilient image fingerprinting. ICASSP (3) Jin S. Seo, Jaap Haitsma, Ton Kalker, Chang D. Yoo
2003	—	`conf`	Improvements in speaker adaptation using weighted training. ICASSP (1) Gyucheol Jang, Sooyoung Woo, Minho Jin, Chang D. Yoo
2003	A	`conf`	Speaker adaptation based on confidence-weighted training. INTERSPEECH Gyucheol Jang, Minho Jin, Chang D. Yoo
2003	—	`conf`	The incorporation of masking threshold to subspace speech enhancement. ICASSP (1) Jong Uk Kim, Sang-Gyun Kim, Chang D. Yoo
2002	A	`conf`	Acoustic echo cancellation based on m-channel IIR cosine-modulated filter bank. INTERSPEECH Sang-Gyun Kim, Chang D. Yoo
2002	—	`conf`	Design of template in the autocorrelation domain. Security and Watermarking of Multimedia Contents Jin S. Seo, Chang D. Yoo
2002	A	`conf`	Subspace speech enhancement using subband whitening filter. INTERSPEECH Jong Uk Kim, Chang D. Yoo
2001	A	`conf`	Speech/noise-dominant decision for speech enhancement. INTERSPEECH Sukhyun Yoon, Chang D. Yoo
1999	Misc	`conf`	Utilizing interband acoustical information for modeling stationary time-frequency regions of noisy speech. ICASSP Chang D. Yoo
1996	Misc	`conf`	Selective all-pole modeling of degraded speech using M-band decomposition. ICASSP Chang D. Yoo
1995	J	`jnl`	An iterative method for designing separable Wiener filters. IEEE Trans. Signal Process. Chang D. Yoo, Matthew M. Bace, Jae S. Lim
1995	Misc	`conf`	Speech enhancement based on the generalized dual excitation model with adaptive analysis window. ICASSP Chang D. Yoo, Jae S. Lim