Mingon Kang

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 38

Top Topics

Beat Classification

Bipartite Graph

Ionizing Radiation

Top Venues

Int. J. Data Min. Bioinform.

IEEE ACM Trans. Comput. Biol. Bioinform.

Briefings Bioinform.

Publications

Avinash Yaganapu, Mingon Kang
Multi-layered self-attention mechanism for weakly supervised semantic segmentation. Comput. Vis. Image Underst. 239 (2024)
Euiseong Ko, Youngsoon Kim, Farhad Shokoohi, Tesfaye B. Mersha, Mingon Kang
SPIN: sex-specific and pathway-based interpretable neural network for sexual dimorphism analysis. Briefings Bioinform. 25 (4) (2024)
Hunmin Lee, Mingon Kang, Donghyun Kim, Daehee Seo, Yingshu Li
Epidemic Vulnerability Index for Effective Vaccine Distribution Against Pandemic. IEEE ACM Trans. Comput. Biol. Bioinform. 20 (6) (2023)
So-Ra Han, Mingyu Park, Sai Kosaraju, Jeungmin Lee, Hyun Lee, Jun Hyuck Lee, Tae-Jin Oh, Mingon Kang
Evidential deep learning for trustworthy prediction of enzyme commission number. Briefings Bioinform. 25 (1) (2023)
Mingon Kang, Euiseong Ko, Tesfaye B. Mersha
A roadmap for multi-omics data integration using deep learning. Briefings Bioinform. 23 (1) (2022)
Jung Hun Oh, Wookjin Choi, Euiseong Ko, Mingon Kang, Allen R. Tannenbaum, Joseph O. Deasy
PathCNN: interpretable convolutional neural networks for survival prediction and pathway analysis applied to glioblastoma. Bioinform. 37 (Supplement) (2021)
Hunmin Lee, Mingon Kang, Yingshu Li, Daehee Seo, Donghyun Kim
Epidemic Vulnerability Index for Effective Vaccine Distribution Against Pandemic. ISBRA (2021)
Shangjia Zhang, Zhaohuan Zhu, Mingon Kang
PGNets: Planet mass prediction using convolutional neural networks for radio continuum observations of protoplanetary disks. CoRR (2021)
Jie Hao, Sai Chandra Kosaraju, Nelson Zange Tsaku, Dae Hyun Song, Mingon Kang
PAGE-Net: Interpretable and Integrative Deep Learning for Survival Analysis Using HistopathologicalImages and Genomic Data. PSB (2020)
William Stone, Daeyoung Kim, Victor Youdom Kemmoe, Mingon Kang, Junggab Son
Rethinking the Weakness of Stream Ciphers and Its Application to Encrypted Malware Detection. IEEE Access 8 (2020)
Mingon Kang, Ashis Kumer Biswas, Dong-Chul Kim, Jean Gao
Semi-Supervised Discriminative Transfer Learning in Cross-Language Text Classification. ICMLA (2019)
Junggab Son, Euiseong Ko, Uday Bhaskar Boyanapalli, Donghyun Kim, Youngsoon Kim, Mingon Kang
. ICNC (2019)
Ashis Kumer Biswas, Dong-Chul Kim, Mingon Kang, Jean X. Gao
Robust Inductive Matrix Completion Strategy to Explore Associations Between LincRNAs and Human Disease Phenotypes. IEEE ACM Trans. Comput. Biol. Bioinform. 16 (6) (2019)
Sai Chandra Kosaraju, Mohammad Masum, Nelson Zange Tsaku, Pritesh Patel, Tanju Bayramoglu, Girish Modgil, Mingon Kang
DoT-Net: Document Layout Classification Using Texture-Based CNN. ICDAR (2019)
Youngsoon Kim, Jie Hao, Tejaswini Mallavarapu, Jong Hyuk Park, Mingon Kang
Hi-LASSO: High-Dimensional LASSO. IEEE Access 7 (2019)
Jie Hao, Mohammad Masum, Jung Hun Oh, Mingon Kang
Gene- and Pathway-Based Deep Neural Network for Multi-omics Data Integration to Predict Cancer Survival Outcomes. ISBRA (2019)
Nelson Zange Tsaku, Sai Chandra Kosaraju, Tasmia Aqila, Mohammad Masum, Dae Hyun Song, Ananda Mohan Mondal, Hyun Min Koh, Mingon Kang
Texture-based Deep Learning for Effective Histopathological Cancer Image Classification. BIBM (2019)
Sai Kosaraju, Nelson Zange Tsaku, Pritesh Patel, Tanju Bayramoglu, Girish Modgil, Mingon Kang
Table of Contents Recognition in OCR Documents using Image-based Machine Learning. ACM Southeast Regional Conference (2019)
Juyoung Park, Md. Zakirul Alam Bhuiyan, Mingon Kang, Junggab Son, Kyungtae Kang
Nearest neighbor search with locally weighted linear regression for heartbeat classification. Soft Comput. 22 (4) (2018)
Tejaswini Mallavarapu, Jie Hao, Youngsoon Kim, Jung Hun Oh, Mingon Kang
PASCL: Pathway-based Sparse Deep Clustering for Identifying Unknown Cancer Subtypes. BIBM (2018)
Youngsoon Kim, Jie Hao, Yadu Gautam, Tesfaye B. Mersha, Mingon Kang
DiffGRN: differential gene regulatory network analysis. Int. J. Data Min. Bioinform. 20 (4) (2018)
Yoosin Kim, Mingon Kang, Seung Ryul Jeong
Text Mining and Sentiment Analysis for Predicting Box Office Success. KSII Trans. Internet Inf. Syst. 12 (8) (2018)
Jie Hao, Youngsoon Kim, Tejaswini Mallavarapu, Jung Hun Oh, Mingon Kang
Cox-PASNet: Pathway-based Sparse Deep Neural Network for Survival Analysis. BIBM (2018)
Mohammad Masum, Sai Kosaraju, Tanju Bayramoglu, Girish Modgil, Mingon Kang
Automatic knowledge extraction from OCR documents using hierarchical document analysis. RACS (2018)
Jie Hao, Youngsoon Kim, Tae-Kyung Kim, Mingon Kang
PASNet: pathway-associated sparse deep neural network for prognosis prediction from high-throughput data. BMC Bioinform. 19 (1) (2018)
Dong-Chul Kim, Mingon Kang, Ashis Kumer Biswas, Chin-Rang Yang, Xiaoyu Wang, Jean X. Gao
Effects of low dose ionizing radiation on DNA damage-caused pathways by reverse-phase protein array and Bayesian networks. J. Bioinform. Comput. Biol. 15 (2) (2017)
Juyoung Park, Mingon Kang, Jean Gao, Younghoon Kim, Kyungtae Kang
Cascade Classification with Adaptive Feature Extraction for Arrhythmia Detection. J. Medical Syst. 41 (1) (2017)
Mingon Kang, Juyoung Park, Dong-Chul Kim, Ashis Kumer Biswas, Chunyu Liu, Jean Gao
Multi-Block Bipartite Graph for Integrative Genomic Analysis. IEEE ACM Trans. Comput. Biol. Bioinform. 14 (6) (2017)
Euiseong Ko, Mingon Kang, Hyung Jae Chang, Donghyun Kim
Graph-Theory Based Simplification Techniques for Efficient Biological Network Analysis. BigDataService (2017)
Mingon Kang, Liping Tang, Jean Gao
Nonlinear-RANSAC parameter optimisation for dynamic molecular systems and signalling pathways. Int. J. Data Min. Bioinform. 18 (2) (2017)
Minh Nguyen, Chih-Cheng Hung, Mingon Kang
A Comparison on Sparse Coding and Moran's I Method for Image Denoising. RACS (2017)
Tejaswini Mallavarapu, Youngsoon Kim, Jung Hun Oh, Mingon Kang
R-PathCluster: Identifying cancer subtype of glioblastoma multiforme using pathway-based restricted boltzmann machine. BIBM (2017)
Neda Zarayeneh, Euiseong Ko, Jung Hun Oh, Sang C. Suh, Chunyu Liu, Jean Gao, Donghyun Kim, Mingon Kang
Integration of multi-omics data for integrative gene regulatory network inference. Int. J. Data Min. Bioinform. 18 (3) (2017)
Mingon Kang, Dong-Chul Kim, Chunyu Liu, Jean Gao
Identifying cis/trans-acting expression quantitative trait loci (eQTL). Int. J. Data Min. Bioinform. 19 (1) (2017)
Neda Zarayeneh, Jung Hun Oh, Donghyun Kim, Chunyu Liu, Jean Gao, Sang C. Suh, Mingon Kang
Integrative Gene Regulatory Network inference using multi-omics data. BIBM (2016)
Ashis Kumer Biswas, Dong-Chul Kim, Mingon Kang, Jean X. Gao
Robust Inductive Matrix Completion strategy to explore associations between lincRNAs and human disease phenotypes. BIBM (2016)
Mingon Kang, Liping Tang, Jean Gao
Computational modeling of phagocyte transmigration for foreign body responses to subcutaneous biomaterial implants in mice. BMC Bioinform. 17 (2016)
Juyoung Park, Mingon Kang, Junbeom Hur, Kyungtae Kang
Recommendations for antiarrhythmic drugs based on latent semantic analysis with fc-means clustering. EMBC (2016)
Mingon Kang, Chunling Zhang, Hyung-Wook Chun, Chris H. Q. Ding, Chunyu Liu, Jean Gao
eQTL epistasis: detecting epistatic effects and inferring hierarchical relationships of genes in biological pathways. Bioinform. 31 (5) (2015)
Ashis Kumer Biswas, Mingon Kang, Dong-Chul Kim, Chris H. Q. Ding, Baoju Zhang, Xiaoyong Wu, Jean X. Gao
Inferring disease associations of the long non-coding RNAs through non-negative matrix factorization. Netw. Model. Anal. Health Informatics Bioinform. 4 (1) (2015)
Juyoung Park, Mingon Kang, Younghoon Kim, Kyungtae Kang
Heartbeat classification for detecting arrhythmia using normalized beat morphology features. BIBM (2015)
Dong-Chul Kim, Mingon Kang, Ashis Kumer Biswas, Chunyu Liu, Jean Gao
Integrative approach for inference of gene regulatory networks using lasso-based random featuring and application to Psychiatric disorders. BIBM (2015)
Mingon Kang, Juyoung Park, Dong-Chul Kim, Ashis Kumer Biswas, Chunyu Liu, Jean Gao
An integrative genomic study for multimodal genomic data using multi-block bipartite graph. BIBM (2015)
Mingon Kang, Dong-Chul Kim, Chunyu Liu, Baoju Zhang, Xiaoyong Wu, Jean Gao
Multi-block and Multi-task Learning for Integrative Genomic Study. BIBE (2014)
Dong-Chul Kim, Mingon Kang, Baoju Zhang, Xiaoyong Wu, Chunyu Liu, Jean Gao
Integration of DNA Methylation, Copy Number Variation, and Gene Expression for Gene Regulatory Network Inference and Application to Psychiatric Disorders. BIBE (2014)
Mingon Kang, Shuo Li, Dong-Chul Kim, Chunyu Liu, Baoju Zhang, Xiaoyong Wu, Jean Gao
eQTL Mapping Study via Regularized Sparse Canonical Correlation Analysis. ICMLA (1) (2013)
Mingon Kang, Shuo Li, Chunyu Liu, Jean Gao
eQTL epistasis: Detecting complex interaction effects between multiple loci from eQTL data. BIBM (2013)
Mingon Kang, Baoju Zhang, Xiaoyong Wu, Chunyu Liu, Jean Gao
Sparse generalized canonical correlation analysis for biological model integration: A genetic study of psychiatric disorders. EMBC (2013)
Mingon Kang, Jean Gao, Liping Tang
Nonlinear RANSAC Optimization for Parameter Estimation with Applications to Phagocyte Transmigration. ICMLA (1) (2011)
Jae Sung Choi, Mingon Kang, Ramez Elmasri, Daniel W. Engels
Investigation of impact factors for various performances of passive UHF RFID system. RFID-TA (2011)
Mingon Kang, Jean X. Gao, Liping Tang
Computational modeling of phagocyte transmigration during biomaterial-mediated foreign body responses. BIBM (2010)