Taesung Park

ORCID

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 106

Top Venues

BIBM

Int. J. Data Min. Bioinform.

CoRR

Bioinform.

Publications

Nupur Kumari, Grace Su, Richard Zhang, Taesung Park, Eli Shechtman, Jun-Yan Zhu
Customizing Text-to-Image Diffusion with Camera Viewpoint Control. CoRR (2024)
Minguk Kang, Richard Zhang, Connelly Barnes, Sylvain Paris, Suha Kwak, Jaesik Park, Eli Shechtman, Jun-Yan Zhu, Taesung Park
Distilling Diffusion Models into Conditional GANs. CoRR (2024)
Xi Chen, Yang Cai, Yuan Wu, Bo Xiong, Taesung Park
Multi-Scale Semantic Segmentation with Modified MBConv Blocks. CoRR (2024)
Tianwei Yin, Michaël Gharbi, Taesung Park, Richard Zhang, Eli Shechtman, Frédo Durand, William T. Freeman
Improved Distribution Matching Distillation for Fast Image Synthesis. CoRR (2024)
Jiteng Mu, Michaël Gharbi, Richard Zhang, Eli Shechtman, Nuno Vasconcelos, Xiaolong Wang, Taesung Park
Editable Image Elements for Controllable Synthesis. CoRR (2024)
Xiaojuan Wang, Taesung Park, Yang Zhou, Eli Shechtman, Richard Zhang
Jump Cut Smoothing for Talking Heads. CoRR (2024)
Yotam Nitzan, Zongze Wu, Richard Zhang, Eli Shechtman, Daniel Cohen-Or, Taesung Park, Michaël Gharbi
Lazy Diffusion Transformer for Interactive Image Editing. CoRR (2024)
Yiran Xu, Taesung Park, Richard Zhang, Yang Zhou, Eli Shechtman, Feng Liu, Jia-Bin Huang, Difan Liu
VideoGigaGAN: Towards Detail-rich Video Super-Resolution. CoRR (2024)
Gaurav Parmar, Taesung Park, Srinivasa Narasimhan, Jun-Yan Zhu
One-Step Image Translation with Text-to-Image Models. CoRR (2024)
Minguk Kang, Jun-Yan Zhu, Richard Zhang, Jaesik Park, Eli Shechtman, Sylvain Paris, Taesung Park
Scaling up GANs for Text-to-Image Synthesis. CVPR (2023)
Tianwei Yin, Michaël Gharbi, Richard Zhang, Eli Shechtman, Frédo Durand, William T. Freeman, Taesung Park
One-step Diffusion with Distribution Matching Distillation. CoRR (2023)
Yotam Nitzan, Michaël Gharbi, Richard Zhang, Taesung Park, Jun-Yan Zhu, Daniel Cohen-Or, Eli Shechtman
Domain Expansion of Image Generators. CVPR (2023)
Yotam Nitzan, Michaël Gharbi, Richard Zhang, Taesung Park, Jun-Yan Zhu, Daniel Cohen-Or, Eli Shechtman
Domain Expansion of Image Generators. CoRR (2023)
Minguk Kang, Jun-Yan Zhu, Richard Zhang, Jaesik Park, Eli Shechtman, Sylvain Paris, Taesung Park
Scaling up GANs for Text-to-Image Synthesis. CoRR (2023)
Tony Lee, Michihiro Yasunaga, Chenlin Meng, Yifan Mai, Joon Sung Park, Agrim Gupta, Yunzhi Zhang, Deepak Narayanan, Hannah Benita Teufel, Marco Bellagente, Minguk Kang, Taesung Park, Jure Leskovec, Jun-Yan Zhu, Li Fei-Fei, Jiajun Wu, Stefano Ermon, Percy Liang
Holistic Evaluation of Text-To-Image Models. CoRR (2023)
Tony Lee, Michihiro Yasunaga, Chenlin Meng, Yifan Mai, Joon Sung Park, Agrim Gupta, Yunzhi Zhang, Deepak Narayanan, Hannah Teufel, Marco Bellagente, Minguk Kang, Taesung Park, Jure Leskovec, Jun-Yan Zhu, Fei-Fei Li, Jiajun Wu, Stefano Ermon, Percy Liang
Holistic Evaluation of Text-to-Image Models. NeurIPS (2023)
Songwei Ge, Taesung Park, Jun-Yan Zhu, Jia-Bin Huang
Expressive Text-to-Image Generation with Rich Text. CoRR (2023)
Songwei Ge, Taesung Park, Jun-Yan Zhu, Jia-Bin Huang
Expressive Text-to-Image Generation with Rich Text. ICCV (2023)
Chanwoo Park, Boram Kim, Taesung Park
DeepHisCoM: deep learning pathway analysis using hierarchical structural component models. Briefings Bioinform. 23 (5) (2022)
Dave Epstein, Taesung Park, Richard Zhang, Eli Shechtman, Alexei A. Efros
BlobGAN: Spatially Disentangled Scene Representations. ECCV (15) (2022)
Suhyun Hwangbo, Sungyoung Lee, Seungyeoun Lee, Heungsun Hwang, Inyoung Kim, Taesung Park
Kernel-based hierarchical structural component models for pathway analysis. Bioinform. 38 (11) (2022)
Dave Epstein, Taesung Park, Richard Zhang, Eli Shechtman, Alexei A. Efros
BlobGAN: Spatially Disentangled Scene Representations. CoRR (2022)
Sun Ah Kim, Nayeon Kang, Taesung Park
Hierarchical Structured Component Analysis for Microbiome Data Using Taxonomy Assignments. IEEE ACM Trans. Comput. Biol. Bioinform. 19 (3) (2022)
Seungyoon Nam, Sungyoung Lee, Sungjin Park, Jinhyuk Lee, Aron Park, Yon Hui Kim, Taesung Park
PATHOME-Drug: a subpathway-based polypharmacology drug-repositioning method. Bioinform. 38 (2) (2022)
Difan Liu, Sandesh Shetty, Tobias Hinz, Matthew Fisher, Richard Zhang, Taesung Park, Evangelos Kalogerakis
ASSET: autoregressive semantic scene editing with transformers at high resolutions. ACM Trans. Graph. 41 (4) (2022)
Difan Liu, Sandesh Shetty, Tobias Hinz, Matthew Fisher, Richard Zhang, Taesung Park, Evangelos Kalogerakis
ASSET: Autoregressive Semantic Scene Editing with Transformers at High Resolutions. CoRR (2022)
Alex Andonian, Taesung Park, Bryan Russell, Phillip Isola, Jun-Yan Zhu, Richard Zhang
Contrastive Feature Loss for Image Prediction. ICCVW (2021)
Md. Kamruzzaman, Yonggab Kim, Yeni Lim, Oran Kwon, Taesung Park
Evaluation of statistical methods for the analysis of crossover designs with repeated measurements. Int. J. Data Min. Bioinform. 25 (1/2) (2021)
Taewan Goo, Kyulhee Han, Catherine Apio, Taesung Park
Analysis of COVID-19 genetic risk susceptibility using UK Biobank SNP genotype data. Int. J. Data Min. Bioinform. 25 (1/2) (2021)
Alex Andonian, Taesung Park, Bryan Russell, Phillip Isola, Jun-Yan Zhu, Richard Zhang
Contrastive Feature Loss for Image Prediction. CoRR (2021)
Mira Park, Hoe-Bin Jeong, Jong-Hyun Lee, Taesung Park
Spatial rank-based multifactor dimensionality reduction to detect gene-gene interactions for multivariate phenotypes. BMC Bioinform. 22 (1) (2021)
Taesung Park, Jun-Yan Zhu, Oliver Wang, Jingwan Lu, Eli Shechtman, Alexei A. Efros, Richard Zhang
Swapping Autoencoder for Deep Image Manipulation. CoRR (2020)
TaeJin Ahn, Taewan Goo, Chan-hee Lee, Sungmin Kim, Kyullhee Han, Sangick Park, Taesung Park
Deep learning-based classification and interpretation of gene expression data from cancer and normal tissues. Int. J. Data Min. Bioinform. 24 (2) (2020)
Taesung Park, Alexei A. Efros, Richard Zhang, Jun-Yan Zhu
Contrastive Learning for Unpaired Image-to-Image Translation. CoRR (2020)
Jay Shenoy, Edward Kim, Xiangyu Yue, Taesung Park, Daniel J. Fremont, Alberto L. Sangiovanni-Vincentelli, Sanjit Seshia
A Customizable Dynamic Scenario Modeling and Data Generation Platform for Autonomous Driving. CoRR (2020)
Suhyun Hwangbo, Se Ik Kim, Untack Cho, Dae-Shik Suh, Yongsang Song, Taesung Park
Systematic investigation of hyperparameters on performance of deep neural networks: application to ovarian cancer phenotypes. Int. J. Data Min. Bioinform. 24 (1) (2020)
Taesung Park, Jun-Yan Zhu, Oliver Wang, Jingwan Lu, Eli Shechtman, Alexei A. Efros, Richard Zhang
Swapping Autoencoder for Deep Image Manipulation. NeurIPS (2020)
Ik-Soo Huh, Sunghoon Choi, Youjin Kim, Soo-yeon Park, Oran Kwon, Taesung Park
Two-stage clustering analysis to detect pattern change of biomarker expression between experimental conditions. Int. J. Data Min. Bioinform. 23 (4) (2020)
Prasoon Joshi, Seokho Jeong, Taesung Park
Sparse superlayered neural network-based multi-omics cancer subtype classification. Int. J. Data Min. Bioinform. 24 (1) (2020)
Taesung Park, Alexei A. Efros, Richard Zhang, Jun-Yan Zhu
Contrastive Learning for Unpaired Image-to-Image Translation. ECCV (9) (2020)
Kyullhee Han, Hyeonjung Ham, Se Ik Kim, Yongsang Song, Taesung Park, TaeJin Ahn
Ensemble of deep learning models to predict platinum resistance in high grade serous ovarian cancer. Int. J. Data Min. Bioinform. 24 (3) (2020)
Taesung Park, Ming-Yu Liu, Ting-Chun Wang, Jun-Yan Zhu
Semantic Image Synthesis With Spatially-Adaptive Normalization. CVPR (2019)
Hyung Sun Kim, Changwoo Yi, Yongkang Kim, Uhnmee Park, Woong Kook, Bermseok Oh, Hyuk Kim, Taesung Park
Topological data analysis can extract sub-groups with high incidence rates of Type 2 diabetes. Int. J. Data Min. Bioinform. 22 (1) (2019)
Yonggab Kim, Md. Kamruzzaman, Yeni Lim, Oran Kwon, Taesung Park
Comparison of Statistical Models for Cross-over design. BIBM (2019)
Taesung Park, Ming-Yu Liu, Ting-Chun Wang, Jun-Yan Zhu
Semantic Image Synthesis with Spatially-Adaptive Normalization. CoRR (2019)
Ik-Soo Huh, Xin Wu, Taesung Park, Soojin V. Yi
Detecting differential DNA methylation from sequencing of bisulfite converted DNA of diverse species. Briefings Bioinform. 20 (1) (2019)
Suhyun Hwangbo, Se Ik Kim, Untack Cho, Yongsang Song, Taesung Park
Identification of hyperparameters with high effects on performance of deep neural networks: application to clinicopathological data of ovarian cancer. BIBM (2019)
Mira Park, Eunbin Choi, Heonsu Lee, Yongkang Kim, Taesung Park
Exploratory analysis for detecting population structures by iterative pruning based on independent component analysis. Int. J. Data Min. Bioinform. 22 (1) (2019)
Prasoon Joshi, Seokho Jeong, Taesung Park
Cancer Subtype Classification based on Superlayered Neural Network. BIBM (2019)
Ik-Soo Huh, Sunghoon Choi, Youjin Kim, Soo-yeon Park, Oran Kwon, Taesung Park
Two stage pattern clustering analysis in cross-over experimental design. BIBM (2019)
Sungyoung Lee, Yongkang Kim, Sungkyoung Choi, Heungsun Hwang, Taesung Park
Pathway-based approach using hierarchical components of rare variants to analyze multiple phenotypes. BMC Bioinform. (4) (2018)
Judy Hoffman, Eric Tzeng, Taesung Park, Jun-Yan Zhu, Phillip Isola, Kate Saenko, Alexei A. Efros, Trevor Darrell
CyCADA: Cycle-Consistent Adversarial Domain Adaptation. ICML (2018)
You-Jung Lee, Hyein Kim, Taesung Park, Mira Park
Gene-gene interaction analysis for quantitative trait using cluster-based multifactor dimensionality reduction method. Int. J. Data Min. Bioinform. 20 (1) (2018)
Suhyun Hwangbo, Jin-Young Jang, Bermseok Oh, Atsuko Imai-Okazaki, Jurg Ott, Taesung Park
Association test for rare variants using the hamming distance. Int. J. Data Min. Bioinform. 21 (4) (2018)
Hyung Sun Kim, Changwoo Yi, Yongkang Kim, Uhnmee Park, Woong Kook, Hyuk Kim, Taesung Park
Topological data analysis can extract subgroups with high incidence rates of Type 2 diabetes. BIBM (2018)
Yongjun Jo, Hyojin Lee, Oran Kwon, Taesung Park
Determining sample size for cross-over designs with multiple groups. Int. J. Data Min. Bioinform. 20 (1) (2018)
Yongkang Kim, Sungyoung Lee, Sungkyoung Choi, Jin-Young Jang, Taesung Park
Hierarchical structural component modeling of microRNA-mRNA integration analysis. BMC Bioinform. (4) (2018)
Sangseob Leem, Taesung Park
An approximation method of extremely low p-values using permutation test. BIBM (2018)
Min-Seok Kwon, Sangseob Leem, Joon Yoon, Taesung Park
GxGrare: gene-gene interaction analysis method for rare variants from high-throughput sequencing data. BMC Syst. Biol. 12 (S-2) (2018)
Sangseob Leem, Dae Ho Lee, Taesung Park
SPARTA: super-fast permutation approach to approximate extremely low p-values. Int. J. Data Min. Bioinform. 21 (4) (2018)
TaeJin Ahn, Nayeon Kang, Yonggab Kim, Taesung Park
Gene expression based prediction of prognostic outcome in ovarian cancer. BIBM (2018)
Hye-Young Jung, Heawon Choi, Taesung Park
Fuzzy heaping mechanism for heaped count data with imprecision. Soft Comput. 22 (14) (2018)
Sungtae Kim, Sungkyoung Choi, Jung-Hwan Yoon, Youngsoo Kim, Seungyeoun Lee, Taesung Park
Drug response prediction model using a hierarchical structural component modeling method. BMC Bioinform. (9) (2018)
TaeJin Ahn, Nayeon Kang, Yonggab Kim, Se Ik Kim, Yongsang Song, Taesung Park
Predicting survival outcomes in ovarian cancer using gene expression data. Int. J. Data Min. Bioinform. 21 (4) (2018)
Ik-Soo Huh, Isabel Mendizabal, Taesung Park, Soojin V. Yi
Functional conservation of sequence determinants at rapidly evolving regulatory regions across mammals. PLoS Comput. Biol. 14 (10) (2018)
Sungkyoung Choi, Sungyoung Lee, Yongkang Kim, Heungsun Hwang, Taesung Park
HisCoM-GGI: Hierarchical structural component analysis of gene-gene interactions. J. Bioinform. Comput. Biol. 16 (6) (2018)
Seungyeoun Lee, Donghee Son, Yongkang Kim, Wenbao Yu, Taesung Park
Unified Cox model based multifactor dimensionality reduction method for gene-gene interaction analysis of the survival phenotype. BioData Min. 11 (1) (2018)
TaeJin Ahn, Taewan Goo, Chan-hee Lee, Sungmin Kim, Kyullhee Han, Sangick Park, Taesung Park
Deep Learning-based Identification of Cancer or Normal Tissue using Gene Expression Data. BIBM (2018)
Sunghwan Bae, Taesung Park
Risk prediction of type 2 diabetes using common and rare variants. Int. J. Data Min. Bioinform. 20 (1) (2018)
Mira Park, Eunbin Choi, Yongkang Kim, Taesung Park
Detecting population structures by independent component analysis. BIBM (2018)
Sunghwan Bae, Taesung Park
Risk prediction using common and rare genetic variants: Application to Type 2 diabetes. BIBM (2017)
Yongkang Kim, Gyu-tae Kim, Min-Seok Kwon, Taesung Park
Statistical quality control analysis of high-dimensional omics data. Int. J. Data Min. Bioinform. 18 (3) (2017)
Yongchan Kwon, Young-Geun Choi, Taesung Park, Andreas Ziegler, Myunghee Cho Paik
Generalized estimating equations with stabilized working correlation structure. Comput. Stat. Data Anal. 106 (2017)
Sunghoon Choi, Soo-yeon Park, Hoejin Kim, Oran Kwon, Taesung Park
Multivariate summary approach to omics data from crossover design with two repeated factors. Int. J. Data Min. Bioinform. 18 (3) (2017)
Chanyoung Lee, Seungyeoun Lee, Taesung Park
A comparison study of statistical methods for the analysis metagenome data. BIBM (2017)
Sangseob Leem, Taesung Park
An empirical fuzzy multifactor dimensionality reduction method for detecting gene-gene interactions. BMC Genom. 18 (S2) (2017)
Hyunjin Park, Seungyeoun Lee, Ye Jin Kim, Myung-Sook Choi, Taesung Park
Analysis of clustered RNA-seq data. Int. J. Data Min. Bioinform. 19 (1) (2017)
Jun-Yan Zhu, Taesung Park, Phillip Isola, Alexei A. Efros
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks. CoRR (2017)
Yongjun Jo, Taesung Park
Sample size calculation for comparing multiple groups in cross-over designs. BIBM (2017)
Judy Hoffman, Eric Tzeng, Taesung Park, Jun-Yan Zhu, Phillip Isola, Kate Saenko, Alexei A. Efros, Trevor Darrell
CyCADA: Cycle-Consistent Adversarial Domain Adaptation. CoRR (2017)
Yoojung Lee, Hyein Kim, Taesung Park, Mira Park
Cluster-based multifactor dimensionality reduction method to identify gene-gene interactions for quantitative traits in genome-wide studies. BIBM (2017)
Chanyoung Lee, Seungyeoun Lee, Taesung Park
Statistical methods for metagenomics data analysis. Int. J. Data Min. Bioinform. 19 (4) (2017)
Jun-Yan Zhu, Taesung Park, Phillip Isola, Alexei A. Efros
Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks. ICCV (2017)
Jaehoon Lee, Young Jin Kim, Juyoung Lee, Bong-Jo Kim, Seungyeoun Lee, Taesung Park
Gene-set association tests for next-generation sequencing data. Bioinform. 32 (17) (2016)
Jungsoo Gim, Sungkyoung Choi, Jongho Im, Jae-Kwang Kim, Taesung Park
A post-hoc genome-wide association study using matched samples. Int. J. Data Min. Bioinform. 14 (3) (2016)
Jungsoo Gim, Taesung Park
The effect of impurity of reference peptides on normalisation in selected reaction monitoring experiments. Int. J. Data Min. Bioinform. 15 (1) (2016)
Sungyoung Lee, Sungkyoung Choi, Young Jin Kim, Bong-Jo Kim, Heungsun Hwang, Taesung Park
Pathway-based approach using hierarchical components of collapsed rare variants. Bioinform. 32 (17) (2016)
Rama Srikanth Mallavarapu, TaeJin Ahn, Subhankar Mukherjee, Ajit S. Bopardikar, Garima Agarwal, Taesung Park
Estimating functional coupling between cancer gene sub-networks using novel interaction measures. Int. J. Data Min. Bioinform. 15 (1) (2016)
Hyunjin Park, Seungyeoun Lee, Ye Jin Kim, Myung-Sook Choi, Taesung Park
Multivariate approach to the analysis of correlated RNA-seq data. BIBM (2016)
Gyu-tae Kim, Yongkang Kim, Min-Seok Kwon, Taesung Park
Quality control plot for high dimensional omics data. BIBM (2016)
Hye-Young Jung, Sangseob Leem, Sungyoung Lee, Taesung Park
A novel fuzzy set based multifactor dimensionality reduction method for detecting gene-gene interaction. Comput. Biol. Chem. 65 (2016)
Sohee Oh, Ik-Soo Huh, Seung Yeoun Lee, Taesung Park
Analysis of multiple related phenotypes in genome-wide association studies. J. Bioinform. Comput. Biol. 14 (5) (2016)
Ik-Soo Huh, Taesung Park
Multifactor dimensionality reduction analysis of multiple binary traits for gene-gene interaction. Int. J. Data Min. Bioinform. 14 (4) (2016)
Seunghyun Lee, Taesung Park, Mira Park
Principal variable approach to multipurpose SNP selection in genetic association studies. Int. J. Data Min. Bioinform. 16 (1) (2016)
Haewon Choi, Hye-Young Jung, Taesung Park
Statistical analysis for aggregated count data in genetic association studies. Int. J. Data Min. Bioinform. 16 (1) (2016)
Sunghoon Choi, Soo-yeon Park, Hoejin Kim, Oran Kwon, Taesung Park
Analysis for doubly repeated omics data from crossover design. BIBM (2016)
Wenbao Yu, Seungyeoun Lee, Taesung Park
A unified model based multifactor dimensionality reduction framework for detecting gene-gene interactions. Bioinform. 32 (17) (2016)
Yongkang Kim, Min-Seok Kwon, Yonghwan Choi, Sung-Gon Yi, Junghyun Namkung, Sangjo Han, Wooil Kwon, Sun Whe Kim, Jin-Young Jang, Hyunsoo Kim, Youngsoo Kim, Seungyeoun Lee, Taesung Park
Comparative studies for developing protein based cancer prediction model to maximise the ROC-AUC with various variable selection methods. Int. J. Data Min. Bioinform. 16 (1) (2016)
Jungsoo Gim, Sungho Won, Taesung Park
Conditional estimation of local pooled dispersion parameter in small-sample RNA-Seq data improves differential expression test. J. Bioinform. Comput. Biol. 14 (5) (2016)
Min-Seok Kwon, Sungyoung Lee, Yongkang Kim, Taesung Park
VizEpis : A visualization and mapping tool for interpreting epistasis. BIBM (2015)

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Publication Activity (10 Years)

Top Topics

Top Venues

Taesung Park