Chang D. Yoo

ORCID

Publication Activity (10 Years)

Years Active: 1995-2024
Publications (10 Years): 132

Top Venues

Publications

Junrui Ni, Liming Wang, Yang Zhang, Kaizhi Qian, Heting Gao, Mark Hasegawa-Johnson, Chang D. Yoo
Towards Unsupervised Speech Recognition Without Pronunciation Models. CoRR (2024)
Gwanhyeong Koo, Sunjae Yoon, Ji Woo Hong, Chang D. Yoo
FlexiEdit: Frequency-Aware Latent Refinement for Enhanced Non-Rigid Editing. CoRR (2024)
Hee Suk Yoon, Eunseop Yoon, Joshua Tian Jin Tee, Mark Hasegawa-Johnson, Yingzhen Li, Chang D. Yoo
C-TPT: Calibrated Test-Time Prompt Tuning for Vision-Language Models via Text Feature Dispersion. CoRR (2024)
Thang Vu, Kookhoi Kim, Thanh Xuan Nguyen, Tung Minh Luu, Junyeong Kim, Chang D. Yoo
Scalable SoftGroup for 3D Instance Segmentation on Point Clouds. IEEE Trans. Pattern Anal. Mach. Intell. 46 (4) (2024)
Haeyong Kang, Jaehong Yoon, Dahyun Kim, Sung Ju Hwang, Chang D. Yoo
Progressive Fourier Neural Representation for Sequential Video Compilation. ICLR (2024)
Liming Wang, Mark Hasegawa-Johnson, Chang D. Yoo
Unsupervised Speech Recognition with N-skipgram and Positional Unigram Matching. ICASSP (2024)
SooHwan Eom, Eunseop Yoon, Hee Suk Yoon, Chanwoo Kim, Mark Hasegawa-Johnson, Chang D. Yoo
AdaMER-CTC: Connectionist Temporal Classification with Adaptive Maximum Entropy Regularization for Automatic Speech Recognition. ICASSP (2024)
Gwanhyeong Koo, Sunjae Yoon, Chang D. Yoo
Wavelet-Guided Acceleration of Text Inversion in Diffusion-Based Image Editing. ICASSP (2024)
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
TLCR: Token-Level Continuous Reward for Fine-grained Reinforcement Learning from Human Feedback. CoRR (2024)
Gwanhyeong Koo, Sunjae Yoon, Chang D. Yoo
Wavelet-Guided Acceleration of Text Inversion in Diffusion-Based Image Editing. CoRR (2024)
Seong Jin Cho, Gwangsu Kim, Junghyun Lee, Jinwoo Shin, Chang D. Yoo
Querying Easily Flip-flopped Samples for Deep Active Learning. CoRR (2024)
Thanh Xuan Nguyen, Tung Minh Luu, Tri Ton, Sungwoong Kim, Chang D. Yoo
Uncertainty-Aware Rank-One MIMO Q Network Framework for Accelerated Offline Reinforcement Learning. IEEE Access 12 (2024)
Seong Jin Cho, Gwangsu Kim, Junghyun Lee, Jinwoo Shin, Chang D. Yoo
Querying Easily Flip-flopped Samples for Deep Active Learning. ICLR (2024)
Joshua Tian Jin Tee, Kang Zhang, Hee Suk Yoon, Dhananjaya N. Gowda, Chanwoo Kim, Chang D. Yoo
Physics Informed Distillation for Diffusion Models. Trans. Mach. Learn. Res. 2024 (2024)
Thanh Xuan Nguyen, Tung Minh Luu, Tri Ton, Chang D. Yoo
Towards Robust Policy: Enhancing Offline Reinforcement Learning with Adversarial Attacks and Defenses. CoRR (2024)
Sunjae Yoon, Gwanhyeong Koo, Jun Yeop Shim, SooHwan Eom, Ji Woo Hong, Chang D. Yoo
Causal Localization Network for Radar Human Localization With Micro-Doppler Signature. IEEE Access 12 (2024)
Hee Suk Yoon, Eunseop Yoon, Joshua Tian Jin Tee, Mark A. Hasegawa-Johnson, Yingzhen Li, Chang D. Yoo
C-TPT: Calibrated Test-Time Prompt Tuning for Vision-Language Models via Text Feature Dispersion. ICLR (2024)
Heting Gao, Mark Hasegawa-Johnson, Chang D. Yoo
G2PU: Grapheme-To-Phoneme Transducer with Speech Units. ICASSP (2024)
Sunjae Yoon, Gwanhyeong Koo, Geonwoo Kim, Chang D. Yoo
FRAG: Frequency Adapting Group for Diffusion Video Editing. CoRR (2024)
Trung X. Pham, Kang Zhang, Chang D. Yoo
Cross-view Masked Diffusion Transformers for Person Image Synthesis. CoRR (2024)
Hyun Ryu, Sunjae Yoon, Hee Suk Yoon, Eunseop Yoon, Chang D. Yoo
SimPSI: A Simple Strategy to Preserve Spectral Information in Time Series Data Augmentation. AAAI (2024)
Haeyong Kang, Chang D. Yoo
Skew Class-Balanced Re-Weighting for Unbiased Scene Graph Generation. Mach. Learn. Knowl. Extr. 5 (1) (2023)
Trung Xuan Pham, Axi Niu, Kang Zhang, Joshua Tian Jin Tee, Ji Woo Hong, Chang D. Yoo
Self-Supervised Visual Representation Learning via Residual Momentum. IEEE Access 11 (2023)
Axi Niu, Kang Zhang, Joshua Tian Jin Tee, Trung X. Pham, Jinqiu Sun, Chang D. Yoo, In So Kweon, Yanning Zhang
DifAugGAN: A Practical Diffusion-style Data Augmentation for GAN-based Single Image Super-resolution. CoRR (2023)
Liming Wang, Mark A. Hasegawa-Johnson, Chang D. Yoo
A Theory of Unsupervised Speech Recognition. CoRR (2023)
Sunjae Yoon, Gwanhyeong Koo, Dahyun Kim, Chang D. Yoo
SCANet: Scene Complexity Aware Network for Weakly-Supervised Video Moment Retrieval. CoRR (2023)
John B. Harvill, Mark Hasegawa-Johnson, Hee Suk Yoon, Chang D. Yoo, Eunseop Yoon
One-Shot Exemplification Modeling via Latent Sense Representations. RepL4NLP@ACL (2023)
Sunghun Kang, Junbum Cha, Jonghwan Mun, Byungseok Roh, Chang D. Yoo
Learning Pseudo-Labeler beyond Noun Concepts for Open-Vocabulary Object Detection. CoRR (2023)
Eunseop Yoon, Hee Suk Yoon, Dhananjaya Gowda, SooHwan Eom, Daehyeok Kim, John B. Harvill, Heting Gao, Mark Hasegawa-Johnson, Chanwoo Kim, Chang D. Yoo
Mitigating the Exposure Bias in Sentence-Level Grapheme-to-Phoneme (G2P) Transduction. INTERSPEECH (2023)
Hyun Ryu, Sunjae Yoon, Hee Suk Yoon, Eunseop Yoon, Chang D. Yoo
SimPSI: A Simple Strategy to Preserve Spectral Information in Time Series Data Augmentation. CoRR (2023)
Haeyong Kang, Jaehong Yoon, Sung Ju Hwang, Chang D. Yoo
Continual Learning: Forget-free Winning Subnetworks for Video Representations. CoRR (2023)
Eunseop Yoon, Hee Suk Yoon, John B. Harvill, Mark Hasegawa-Johnson, Chang D. Yoo
INTapt: Information-Theoretic Adversarial Prompt Tuning for Enhanced Non-Native Speech Recognition. CoRR (2023)
Thanh Nguyen, Trung Pham, Chaoning Zhang, Tung Minh Luu, Thang Vu, Chang D. Yoo
DimCL: Dimensional Contrastive Learning For Improving Self-Supervised Learning. CoRR (2023)
Hee Suk Yoon, Joshua Tian Jin Tee, Eunseop Yoon, Sunjae Yoon, Gwangsu Kim, Yingzhen Li, Chang D. Yoo
ESD: Expected Squared Difference as a Tuning-Free Trainable Calibration Measure. ICLR (2023)
EunMi Shin, Chang D. Yoo
Efficient Convolutional Neural Networks for Semiconductor Wafer Bin Map Classification. Sensors 23 (4) (2023)
Haeyong Kang, Jaehong Yoon, Sultan Rizky Hikmawan Madjid, Sung Ju Hwang, Chang D. Yoo
On the Soft-Subnetwork for Few-Shot Class Incremental Learning. ICLR (2023)
Haeyong Kang, Chang D. Yoo, Yongcheon Na
Maximum margin learning of t-SPNs for cell classification with filtered input. CoRR (2023)
Sunjae Yoon, Ji Woo Hong, SooHwan Eom, Hee Suk Yoon, Eunseop Yoon, Daehyeok Kim, Junyeong Kim, Chanwoo Kim, Chang D. Yoo
Counterfactual Two-Stage Debiasing For Video Corpus Moment Retrieval. ICASSP (2023)
Ji Woo Hong, Sunjae Yoon, Junyeong Kim, Chang D. Yoo
Joint Path Alignment Framework for 3D Human Pose and Shape Estimation From Video. IEEE Access 11 (2023)
Hee Suk Yoon, Joshua Tian Jin Tee, Eunseop Yoon, Sunjae Yoon, Gwangsu Kim, Yingzhen Li, Chang D. Yoo
ESD: Expected Squared Difference as a Tuning-Free Trainable Calibration Measure. CoRR (2023)
Haeyong Kang, Dahyun Kim, Jaehong Yoon, Sung Ju Hwang, Chang D. Yoo
Progressive Neural Representation for Sequential Video Compilation. CoRR (2023)
Seoyun Yang, Sojeong Song, Chang D. Yoo, Junmo Kim
Flexible Cross-Modal Steganography via Implicit Representations. CoRR (2023)
Haeyong Kang, Chang D. Yoo
Skew Class-balanced Re-weighting for Unbiased Scene Graph Generation. CoRR (2023)
Sunjae Yoon, Gwanhyeong Koo, Ji Woo Hong, Chang D. Yoo
Neutral Editing Framework for Diffusion-based Video Editing. CoRR (2023)
Haeyong Kang, Jaehong Yoon, Sultan Rizky Hikmawan Madjid, Sung Ju Hwang, Chang D. Yoo
Forget-free Continual Learning with Soft-Winning SubNetworks. CoRR (2023)
Thanh Nguyen, Trung Xuan Pham, Chaoning Zhang, Tung Minh Luu, Thang Vu, Chang D. Yoo
DimCL: Dimensional Contrastive Learning for Improving Self-Supervised Learning. IEEE Access 11 (2023)
Liming Wang, Mark Hasegawa-Johnson, Chang D. Yoo
Unsupervised Speech Recognition with N-Skipgram and Positional Unigram Matching. CoRR (2023)
Sunjae Yoon, Gwanhyeong Koo, Dahyun Kim, Chang D. Yoo
SCANet: Scene Complexity Aware Network for Weakly-Supervised Video Moment Retrieval. ICCV (2023)
Eunseop Yoon, Hee Suk Yoon, Dhananjaya Gowda, SooHwan Eom, Daehyeok Kim, John B. Harvill, Heting Gao, Mark Hasegawa-Johnson, Chanwoo Kim, Chang D. Yoo
Mitigating the Exposure Bias in Sentence-Level Grapheme-to-Phoneme (G2P) Transduction. CoRR (2023)
Tung Minh Luu, Thanh Nguyen, Thang Vu, Chang D. Yoo
Utilizing Skipped Frames in Action Repeats for Improving Sample Efficiency in Reinforcement Learning. IEEE Access 10 (2022)
John B. Harvill, Mark Hasegawa-Johnson, Chang D. Yoo
Frame-Level Stutter Detection. INTERSPEECH (2022)
Heting Gao, Xiaoxuan Wang, Sunghun Kang, Rusty Mina, Dias Issa, John B. Harvill, Leda Sari, Mark Hasegawa-Johnson, Chang D. Yoo
Seamless equal accuracy ratio for inclusive CTC speech recognition. Speech Commun. 136 (2022)
Chaoning Zhang, Kang Zhang, Trung X. Pham, Axi Niu, Zhinan Qiao, Chang D. Yoo, In So Kweon
Dual Temperature Helps Contrastive Learning Without Many Negative Samples: Towards Understanding and Simplifying MoCo. CVPR (2022)
Sunghun Kang, Gwangsu Kim, Chang D. Yoo
Fair Facial Attribute Classification via Causal Graph-Based Attribute Translation. Sensors 22 (14) (2022)
Thang Vu, Kookhoi Kim, Tung Minh Luu, Thanh Nguyen, Junyeong Kim, Chang D. Yoo
SoftGroup++: Scalable 3D Instance Segmentation with Octree Pyramid Grouping. CoRR (2022)
Sunjae Yoon, Ji Woo Hong, Eunseop Yoon, Dahyun Kim, Junyeong Kim, Hee Suk Yoon, Chang D. Yoo
Selective Query-guided Debiasing Network for Video Corpus Moment Retrieval. CoRR (2022)
Chaoning Zhang, Kang Zhang, Chenshuang Zhang, Axi Niu, Jiu Feng, Chang D. Yoo, In So Kweon
Decoupled Adversarial Contrastive Learning for Self-supervised Adversarial Robustness. CoRR (2022)
Chaoning Zhang, Kang Zhang, Chenshuang Zhang, Trung X. Pham, Chang D. Yoo, In So Kweon
How Does SimSiam Avoid Collapse Without Negative Samples? A Unified Understanding with Self-supervised Contrastive Learning. CoRR (2022)
Chaoning Zhang, Kang Zhang, Trung X. Pham, Axi Niu, Zhinan Qiao, Chang D. Yoo, In So Kweon
Dual Temperature Helps Contrastive Learning Without Many Negative Samples: Towards Understanding and Simplifying MoCo. CoRR (2022)
Trung Pham, Chaoning Zhang, Axi Niu, Kang Zhang, Chang D. Yoo
On the Pros and Cons of Momentum Encoder in Self-Supervised Visual Representation Learning. CoRR (2022)
Haeyong Kang, Rusty John Lloyd Mina, Sultan Rizky Hikmawan Madjid, Jaehong Yoon, Mark Hasegawa-Johnson, Sung Ju Hwang, Chang D. Yoo
Forget-free Continual Learning with Winning Subnetworks. ICML (2022)
Haeyong Kang, Thang Vu, Chang D. Yoo
Learning Imbalanced Datasets with Maximum Margin Loss. CoRR (2022)
Sunjae Yoon, Dahyun Kim, Ji Woo Hong, Junyeong Kim, Chang D. Yoo
Dual-Scale Doppler Attention for Human Identification. Sensors 22 (17) (2022)
Sunjae Yoon, Eunseop Yoon, Hee Suk Yoon, Junyeong Kim, Chang D. Yoo
Information-Theoretic Text Hallucination Reduction for Video-grounded Dialogue. CoRR (2022)
Trung X. Pham, Axi Niu, Kang Zhang, Sultan Rizky Hikmawan Madjid, Ji Woo Hong, Daehyeok Kim, Joshua Tian Jin Tee, Chang D. Yoo
Self-Supervised Visual Representation Learning via Residual Momentum. CoRR (2022)
Dahyun Kim, Sunjae Yoon, Ji Woo Hong, Chang D. Yoo
Semantic Association Network for Video Corpus Moment Retrieval. ICASSP (2022)
Junyeong Kim, Ji Woo Hong, Sunjae Yoon, Chang D. Yoo
CE-BART: Cause-and-Effect BART for Visual Commonsense Generation. Sensors 22 (23) (2022)
Sunjae Yoon, Dahyun Kim, Junyeong Kim, Chang D. Yoo
Cascaded MPN: Cascaded Moment Proposal Network for Video Corpus Moment Retrieval. IEEE Access 10 (2022)
Hee Suk Yoon, Eunseop Yoon, John B. Harvill, Sunjae Yoon, Mark Hasegawa-Johnson, Chang D. Yoo
SMSMix: Sense-Maintained Sentence Mixup for Word Sense Disambiguation. CoRR (2022)
Chaoning Zhang, Kang Zhang, Chenshuang Zhang, Trung X. Pham, Chang D. Yoo, In So Kweon
How Does SimSiam Avoid Collapse Without Negative Samples? A Unified Understanding with Self-supervised Contrastive Learning. ICLR (2022)
Thang Vu, Kookhoi Kim, Tung Minh Luu, Xuan Thanh Nguyen, Chang D. Yoo
SoftGroup for 3D Instance Segmentation on Point Clouds. CoRR (2022)
Haeyong Kang, Jaehong Yoon, Sultan Rizky Hikmawan Madjid, Sung Ju Hwang, Chang D. Yoo
On the Soft-Subnetwork for Few-shot Class Incremental Learning. CoRR (2022)
Sunjae Yoon, Ji Woo Hong, Eunseop Yoon, Dahyun Kim, Junyeong Kim, Hee Suk Yoon, Chang D. Yoo
Selective Query-Guided Debiasing for Video Corpus Moment Retrieval. ECCV (36) (2022)
Tung Minh Luu, Thang Vu, Thanh Nguyen, Chang D. Yoo
Visual Pretraining via Contrastive Predictive Model for Pixel-Based Reinforcement Learning. Sensors 22 (17) (2022)
Gwangsu Kim, Chang D. Yoo
Blending Query Strategy of Active Learning for Imbalanced Data. IEEE Access 10 (2022)
Chaoning Zhang, Kang Zhang, Chenshuang Zhang, Axi Niu, Jiu Feng, Chang D. Yoo, In So Kweon
Decoupled Adversarial Contrastive Learning for Self-supervised Adversarial Robustness. ECCV (30) (2022)
Chaoning Zhang, Kang Zhang, Axi Niu, Chenshuang Zhang, Jiu Feng, Chang D. Yoo, In So Kweon
Noise Augmentation Is All You Need For FGSM Fast Adversarial Training: Catastrophic Overfitting And Robust Overfitting Require Different Augmentation. CoRR (2022)
Thang Vu, Kookhoi Kim, Tung Minh Luu, Thanh Nguyen, Chang D. Yoo
SoftGroup for 3D Instance Segmentation on Point Clouds. CVPR (2022)
Trung Xuan Pham, Jin Woong Choi, Rusty John Lloyd Mina, Thanh Xuan Nguyen, Sultan Rizky Hikmawan Madjid, Chang D. Yoo
LAD: A Hybrid Deep Learning System for Benign Paroxysmal Positional Vertigo Disorders Diagnostic. IEEE Access 10 (2022)
Gwangsu Kim, Chang D. Yoo
Corrections to "Blending Query Strategy of Active Learning for Imbalanced Data". IEEE Access 10 (2022)
Gwangsu Kim, Chang D. Yoo, Seong J. Yang
Survival Analysis of COVID-19 Patients With Symptoms Information by Machine Learning Algorithms. IEEE Access 10 (2022)
Junghyun Lee, Gwangsu Kim, Mahbod Olfat, Mark Hasegawa-Johnson, Chang D. Yoo
Fast and Efficient MMD-Based Fair PCA via Optimization over Stiefel Manifold. AAAI (2022)
Hobin Ryu, Sunghun Kang, Haeyong Kang, Chang D. Yoo
Semantic Grouping Network for Video Captioning. AAAI (2021)
Thanh Nguyen, Tung Minh Luu, Thang Vu, Chang D. Yoo
Sample-efficient Reinforcement Learning Representation Learning with Curiosity Contrastive Forward Dynamics Model. CoRR (2021)
Thanh Nguyen, Hieu Hoang, Chang D. Yoo
GDCA: GAN-based single image super resolution with Dual discriminators and Channel Attention. CoRR (2021)
Thang Vu, Haeyong Kang, Chang D. Yoo
SCNet: Training Inference Sample Consistency for Instance Segmentation. AAAI (2021)
Tung Minh Luu, Chang D. Yoo
Hindsight Goal Ranking on Replay Buffer for Sparse Reward Environment. IEEE Access 9 (2021)
Kiran Ramnath, Leda Sari, Mark Hasegawa-Johnson, Chang D. Yoo
Worldly Wise (WoW) - Cross-Lingual Knowledge Fusion for Fact-based Visual Spoken-Question Answering. NAACL-HLT (2021)
Trung X. Pham, Rusty John Lloyd Mina, Dias Issa, Chang D. Yoo
Self-supervised Learning with Local Attention-Aware Feature. CoRR (2021)
Haeyong Kang, Thang Vu, Chang D. Yoo
Learning Imbalanced Datasets With Maximum Margin Loss. ICIP (2021)
Leda Sari, Mark Hasegawa-Johnson, Chang D. Yoo
Counterfactually Fair Automatic Speech Recognition. IEEE ACM Trans. Audio Speech Lang. Process. 29 (2021)
Sunjae Yoon, Dahyun Kim, Ji Woo Hong, Junyeong Kim, Kookhoi Kim, Chang D. Yoo
Weakly-Supervised Moment Retrieval Network for Video Corpus Moment Retrieval. ICIP (2021)
Junyeong Kim, Sunjae Yoon, Dahyun Kim, Chang D. Yoo
Structured Co-reference Graph Attention for Video-grounded Dialogue. CoRR (2021)
Hobin Ryu, Sunghun Kang, Haeyong Kang, Chang D. Yoo
Semantic Grouping Network for Video Captioning. CoRR (2021)
Tung Minh Luu, Chang D. Yoo
Hindsight Goal Ranking on Replay Buffer for Sparse Reward Environment. CoRR (2021)
Junyeong Kim, Sunjae Yoon, Dahyun Kim, Chang D. Yoo
Structured Co-reference Graph Attention for Video-grounded Dialogue. AAAI (2021)
Thanh Nguyen, Tung Minh Luu, Trung X. Pham, Sanzhar Rakhimkul, Chang D. Yoo
Robust Maml: Prioritization Task Buffer with Adaptive Learning Process for Model-Agnostic Meta-Learning. ICASSP (2021)
Thang Vu, Kookhoi Kim, Haeyong Kang, Xuan Thanh Nguyen, Tung Minh Luu, Chang D. Yoo
Sphererpn: Learning Spheres For High-Quality Region Proposals On 3d Point Clouds Object Detection. ICIP (2021)
Junghyun Lee, Gwangsu Kim, Matt Olfat, Mark Hasegawa-Johnson, Chang D. Yoo
Fast and Efficient MMD-based Fair PCA via Optimization over Stiefel Manifold. CoRR (2021)
Thanh Nguyen, Tung Minh Luu, Thang Vu, Chang D. Yoo
Sample-efficient Reinforcement Learning Representation Learning with Curiosity Contrastive Forward Dynamics Model. IROS (2021)

Chang D. Yoo.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Chang D. Yoo