Presentations

PRESENTATIONS AND CONFERENCE ABSTRACTS

Invited:

• “Statistical Inference for Possibly Heteroscedastic Nonlinear Regression Models with Application to Toxicology Data”, Poster, Frontiers in Applied and Computational Mathematics, May 19-21, 2008, Newark, New Jersey, USA

• “Robust Statistical Theory and Methodology for Nonlinear Models with Application to Toxicology”, Paper, Frontiers in Applied and Computational Mathematics, June 1-2, 2009, Newark, New Jersey, USA

• “Preliminary Test Estimation Procedures in Nonlinear Regression Models with Toxicological Application”, Paper, NIEHS, March 2, 2010, RTP, NC, USA

• “Preliminary Test Estimation Procedures in Nonlinear Regression Models with Toxicological Application”, Paper, National Toxicology Program (NTP), March 26, 2010, RTP, NC, USA

• “Preliminary Test Estimation Procedures in High Throughput Screening Assays”, Paper, NIEHS, November 17, 2010, RTP, NC, USA

• “Preliminary Test Estimation Procedures in High Throughput Screening Assays”, Poster, NTP Board of Scientific Counselors Meeting, November 30-December 1, 2010, RTP, NC, USA

• “Preliminary Test Estimation Procedures in High Throughput Screening Assays”, Paper, Precision Therapeutics, Inc., January 31, 2011, Pittsburg, PA, USA

• “Preliminary Test Estimation Procedures in High Throughput Screening Assays”, Paper, Georgia Health Science University, February 25, 2011, Augusta, GA, USA

• “Preliminary Test Estimation Procedures in High Throughput Screening Assays”, Paper, Missouri University of Science and Technology, March 2, 2011, Rolla, MO, USA

• “Preliminary Test Estimation Procedures in High Throughput Screening Assays”, Paper, Florida International University, March 11, 2011, Miami, FL, USA

• “Preliminary Test Estimation Procedures in High Throughput Screening Assays”, Paper, Loyola University Chicago, March 24, 2011, Chicago, IL, USA

• “Accounting Uncertainty in Heteroscedasticity in Nonlinear Regression”, Paper, Loyola University Chicago, December 6, 2012, Chicago, IL, USA

• “Evaluation of Empowerment Pathways to Self-Sufficiency in Health Professions Career Development for Low-Income Individuals”, Paper, HPOG University Partnership Annual Grantee Meeting, May 28, 2013, Washington, DC, USA

• “Robust Analysis of High-Throughput Screening (HTS) Assay Data”, Paper, Joint Statistical Meetings, August 3-8, 2013, Montreal, Quebec, Canada

• “Ridge Regression Estimators for Nonlinear Models with Applications to High Throughput Screening (HTS) Assay Data”, Paper, Loyola University Chicago, October 17, 2013, Chicago, IL, USA

• “Robust Analysis of High Throughput Screening (HTS) Assay Data”, Paper, Ewha Womans University, October 21, 2013, Seoul, Korea

• “Robust Analysis of High Throughput Screening (HTS) Assay Data”, Paper, Korea University, 2013, Seoul, Korea

• “Robust Analysis of High Throughput Screening (HTS) Assay Data”, Paper, University of Seoul, 2013, Seoul, Korea

• “Robust Analysis of High Throughput Screening (HTS) Assay Data”, Paper, Chung-Ang University, December 23, 2013, Seoul, Korea

• “Robust Ridge Type M-Estimators for Nonlinear Models with Applications to High Throughput Screening (HTS) Assay Data”, Paper, Ewha Womans University, April 10, 2014, Seoul, Korea

• “Robust Ridge Regression Estimators for Nonlinear Models with Applications to High Throughput Screening Assay Data”, Paper, 2015 International Conference of the Research Center for Data Science, Chung-Ang University, July 24, 2015, Seoul, Korea

• “Robust Analysis of High Throughput Screening (HTS) Assay Data”, Paper, College of Medicine, Chung-Ang University, September 15, 2015, Seoul, Korea

• “Robust Ridge Regression Estimators for Nonlinear Models with Applications to High Throughput Screening Assay Data”, Paper, Department of Applied Statistics, Yonsei University, November 25, 2016, Seoul, Korea

• “Robust Ridge Regression Estimators for Nonlinear Models with Applications to High Throughput Screening Assay Data”, Paper, The 10th ICSA International Conference, December 19-22, 2016, Shanghai, China

• “Some Robust Methods for Analyzing Data from Quantitative High Throughput Screening (qHTS) Assays”, Paper, NIEHS, January 31, 2017, RTP, NC, USA

• “Some Robust Methods for Analyzing Data from Quantitative High Throughput Screening (qHTS) Assays”, Paper, University of Seoul, September 11, 2017, Seoul, Korea

• “Some Robust Methods for Analyzing Data from Quantitative High Throughput Screening (qHTS) Assays”, Paper, Seoul National University Hospital, September 28, 2017, Seoul, Korea

• “Some Robust Methods for Analyzing Data from Quantitative High Throughput Screening (qHTS) Assays”, Paper, 2017, The Korean Society for Biostatistics and The Korea Branch of the International Society for Biostatistics Joint Statistical Conference, November 17, 2017, Seoul, Korea

• “Performance Comparison of Variance Models in a Robust Estimation Method for Heteroscedastic Nonlinear Models”, Paper, 2018 The KSS Spring Conference, May 25-26, 2018, Busan, Korea

• “Analysis of the Yearbook from the Korea Meteorological Administration using a Text-Mining Algorithm”, Paper, The 5th Institute of Mathematical Statistics Asia Pacific Rim Meeting, June 26-29, 2018, Singapore

• “Analysis of Quantitative High Throughput Screening Data Using a Robust Nonlinear Mixed Model Estimation”, Paper, The 11th International Conference of the ERCIM WG on Computational and Methodological Statistics, December 14-16, 2018, Pisa, Italy

• “Flower Classification with Modified Multimodal Convolutional Neural Networks”, Paper, The KSS Spring Conference, May 24-25, 2019, Chuncheon, Korea

Contributed:

• “Robust Statistical Theory and Methodology for Nonlinear Models with Application to Toxicology”, Paper, Eastern North American Region/International Biometric Society, March 15-18, 2009, San Antonio, Texas, USA

• “Hepatobiliary Disposition of Troglitazone (TGZ) and Metabolites in Sandwich-Cultured Rat and Human Hepatocytes: Use of Monte Carlo Simulations to Assess Impact of Changes in Biliary Excretion on Substrate Accumulation in Cells versus Culture Medium”, Poster, AAPS Workshop on Drug Transporters in ADME: From the Bench to the Bedside, March 30-April 1, 2009, North Bethesda, Maryland, USA

• “M-estimation Procedures in Heteroscedastic Nonlinear Regression Models with Parametric Variance Model”, Paper, Eastern North American Region/International Biometric Society, March 21-24, 2010, New Orleans, Louisiana, USA

• “Preliminary Test Estimation Procedures in Nonlinear Regression Models with Toxicological Application”, Paper, Joint Statistical Meetings, July 31-August 5, 2010, Vancouver, BC, Canada

• “Preliminary Test Estimation Procedures in High Throughput Screening Assays”, Poster, Eastern North American Region/International Biometric Society, March 20-23, 2011, Miami, FL, USA

• “Preliminary Test Estimation Procedures in High Throughput Screening Assays”, Paper, Joint Statistical Meetings, July 28-August 2, 2012, San Diego, CA, USA

• “Robust Analysis of High Throughput Screening (HTS) Assay Data”, Paper, The 20th ASA/IMS Spring Research Conference (SRC 2013) on Statistics in Industry and Technology, June 20-22, 2013, UCLA, CA, USA

• “Robust Ridge Type M-Estimators for Nonlinear Models with Applications to High Throughput Screening (HTS) Assay Data”, Paper, 2014 The Korean Statistical Society (KSS) Spring Conference, May 24, 2014, Daejeon, Korea

• “Robust Methodologies for Nonlinear Models with Application to High Throughput Screening (HTS) Assay”, Paper, 2014 The KSS Autumn Conference, November 1, 2014, Chung-Ang University, Seoul, Korea

• “Robust Ridge Regression Estimators for Nonlinear Models with Applications to High Throughput Screening Assay Data”, Paper, The Third International Conference on the Interface between Statistics and Engineering, December 15, 2014, Hong Kong, China

• “Interval-Valued Data Regression Using Nonparametric Additive Models”, Paper, 2015 The KSS Spring Conference, May 30, 2015, Chung-Buk National University, Cheongju, Korea

• “Accounting for Uncertainty in Heteroscedasticity in Nonlinear Regression”, Paper, 2015 The KSS Autumn Conference, November 7, 2015, Hankuk University of Foreign Studies, Yongin, Korea

• “Analysis of Data from the Weather Call Center using a Text-Mining Technique”, Paper, 2016 The KSS Spring Conference, May 20, 2016, Kyung-Buk National University, Daegu, Korea

• “Robust Ridge Regression Estimators for Nonlinear Models with Applications to High Throughput Screening Assay Data”, Paper, Joint Statistical Meetings, July 30-August 4, 2016, Chicago, USA

• “Analysis of High Throughput Screening Assay Data using Robust Two-Stage Estimation for Nonlinear Mixed Effects Models”, Paper, The KSS Autumn Conference, November 4-5, 2016, Daejeon, Korea

• “Analysis of the Yearbook Data from the Korea Meteorological Administration Using a Text-Mining Algorithm”, Paper, The Korean BI Data Mining Spring Conference, April 6, 2017, Seoul, Korea

• “Robust Estimation Methods for Nonlinear Mixed Effects Models with Applications to Quantitative High Throughput Screening Assay”, Paper, The KSS Spring Conference, May 26-27, 2017, Seoul, Korea

Student presentations:

• 유혜원, 임창원, “비선형 회귀모형에서 오차의 분산에 따른 예비검정 추정방법”, Paper, 2015 The KSS Autumn Conference, November 7, 2015, Hankuk University of Foreign Studies, Yongin, Korea

• 이예화, 임창원, “이분산 비선형 회귀모형에서의 로버스트 추정방법에 관한 연구”, Paper, 2015 The KSS Autumn Conference, November 7, 2015, Hankuk University of Foreign Studies, Yongin, Korea

• 정혜윤, 임창원, “고용 희망과 고용 장벽을 포함하는 심리적 자활과 경제적 자활과의 관계에 대한 구조방정식모형분석과 주성분분석의 결과 비교”, Paper, 2015 The KSS Autumn Conference, November 7, 2015, Hankuk University of Foreign Studies, Yongin, Korea

• 허미영, 임창원, “Robust two-stage estimation of quantitative high throughput screening data”, Paper, The KSS Autumn Conference, November 4-5, 2016, Daejeon, Korea

• 허미영, 임창원, “비선형 혼합효과 모형에서의 로버스트 2단계 추정을 사용한 고속 대량 스크리닝 자료분석”, Paper, The Korean BI Data Mining Spring Conference, November, 18, 2016, Seoul, Korea

• 유지선, 임창원, “비선형 혼합효과 모형에서의 능형회귀 추정방법”, Paper, The Korean BI Data Mining Spring Conference, November 18, 2016, Seoul, Korea

• 박문지, 임창원, “비선형 혼합효과 모형에서의 예비검정 추정방법”, Paper, The Korean BI Data Mining Spring Conference, November 18, 2016, Seoul, Korea

• 박초롱, 임창원, “비선형 혼합효과 모형에서의 로버스트 추정방법을 이용한 고속 대량 스크리닝 자료 분석”, Poster, The KSS Spring Conference, May 26-27, 2017, Seoul, Korea

• 이태원, 임창원, “비선형 혼합효과 모형에서의 로버스트 추정방법과 정량적 고속 대량 스크리닝 자료에의 응용에 관한 연구”, Poster, The KSS Spring Conference, May 26-27, 2017, Seoul, Korea

• 조승규, 임창원, “비선형 회귀모형에서 자료에 의존하는 조절 상수를 가진 Huber 함수를 사용한 로버스트 M-추정방법”, Poster, The KSS Spring Conference, May 26-27, 2017, Seoul, Korea

• 김보경, 이영섭, 임창원, “Korean visual questions answering using deep learning”, Paper, The Korean Data Mining Autumn Conference, November 30, 2018, Seoul, Korea

• 배강일, 이영섭, 임창원, “Flower classification with modified multimodal convolutional neural networks”, Paper, The Korean Data Mining Autumn Conference, November 30, 2018, Seoul, Korea

• 선현석, 이영섭, 임창원, “단어 임베딩 기법을 이용한 한글의 의미 변화 파악”, Paper, The Korean Data Mining Autumn Conference, November 30, 2018, Seoul, Korea

• 김보경, 이영섭, 임창원, “딥러닝 기법을 이용한 한글 시각질의응답 시스템”, Poster, The KSS Autumn Conference, November 2-3, 2018, Seoul, Korea

• 배강일, 이영섭, 임창원, “멀티 뷰 딥러닝 기법을 통한 분류 예측”, Poster, The KSS Autumn Conference, November 2-3, 2018, Seoul, Korea

• 선현석, 이영섭, 임창원, “단어 임베딩 기법을 이용한 한글의 의미 변화 파악”, Poster, The KSS Autumn Conference, November 2-3, 2018, Seoul, Korea

• 김민종, 조성철, 정혜린, 이영섭, 임창원, “절단된 분포를 이용한 인공신경망에서의 초기값 설정 방법”, Paper, The Korean Data Mining Spring Conference, April 11, 2019, Seoul, Korea

• 김민종, 이영섭, 임창원, “Deformable convolution-based mask R-CNN”, Paper, The Korean Data Mining Autumn Conference, November 29, 2019, Seoul, Korea

• 조성철, 이영섭, 임창원, “Area-wise relational knowledge distillation”, Paper, The Korean Data Mining Autumn Conference, November 29, 2019, Seoul, Korea

• 정혜린, 이영섭, 임창원, “Visualization of explainable AI techniques using variable importance”, Paper, The Korean Data Mining Autumn Conference, November 29, 2019, Seoul, Korea

• 강준서, 이영섭, 임창원, “유사도 기반의 이미지 자막을 활용한 시각질의응답 연구”, Paper, The Korean Data Mining Autumn Conference, November 26, 2020, Seoul, Korea

• 김영동, 이영섭, 임창원, “Dynamic attention network for image-text matching”, Paper, The Korean Data Mining Autumn Conference, November 26, 2020, Seoul, Korea

• 박정훈, 곽일엽, 임창원, “A deep learning model with self-supervised learning and attention mechanism for COVID-19 diagnosis using chest X-ray images”, Paper, The Korean Data Mining Autumn Conference, November 25, 2021, Seoul, Korea

• Won, H., Kim, B., Kwak, I.-Y., and Lim, C., Transfer Learning followed by Transformer for Automated Audio Captioning, The 6th Workshop on Detection and Classification of Acoustic Scenes and Events (DCASE 2021), November 15-19, 2021, Barcelona, Spain

• 김백승, 김범준, 문정현, 임창원, 김경훈, “An Accurate Deep-learning Model with Attention Mechanism for the Analysis of Wheezing Sounds”, Poster, The KSS Summer Conference, June 23-25, 2022, Seoul, Korea

• 김수빈, 임창원, “Contrastive learning을 활용한 화자 검증 임베딩 방법”, Paper, The Korean Data Mining Winter Conference, November 16, 2022, Seoul, Korea

• 이재용, 임창원, “다중 시계열을 이용한 장기 예측 Transformer 모델”, Paper, The Korean Data Mining Winter Conference, November 16, 2022, Seoul, Korea

• 문정현, 임창원, “Automatic speech recognition for Korean speech data”, Paper, The Korean Data Mining Winter Conference, November 16, 2022, Seoul, Korea

• 황재원, 황대환, 전종준, 임창원, “Optimizing Oversampling Ratio Using Genetic Algorithm and Graph Neural Networks Feature Extraction for Improved Toxicity Prediction”, Paper, The Korean Data Mining Summer Conference, June 23-24, 2023, Gangneung, Korea

• 황대환, 황재원, 전종준, 임창원, “분자의 위상학적 정보를 활용한 자기지도학습과 이중-트랜스포머”, Paper, The Korean Data Mining Summer Conference, June 23-24, 2023, Gangneung, Korea

• 임재승, 임창원, “차등 프라이버시를 이용한 뉴스 헤드라인 기반 앙상블 딥러닝 코스피 지수 예측 모형”, Paper, The Korean Data Mining Summer Conference, June 23-24, 2023, Gangneung, Korea

• 박지원, 박상제, 임창원, “사전 학습 모델을 이용한 언어 기반 오디오 검색 모델 구축”, Paper, The Korean Data Mining Summer Conference, June 23-24, 2023, Gangneung, Korea

• 황재원, 황대환, 전종준, 임창원, “Optimizing Oversampling Ratio Using Genetic Algorithm and Graph Neural Networks Feature Extraction for Improved Toxicity Prediction”, Poster, The KSS Summer Conference, June 29-July 1, 2023, Busan, Korea

• 황대환, 황재원, 전종준, 임창원, “분자의 위상학적 정보를 활용한 자기지도학습과 이중-트랜스포머”, Poster, The KSS Summer Conference, June 29-July 1, 2023, Busan, Korea

• 임재승, 임창원, “차등 프라이버시를 이용한 뉴스 헤드라인 기반 앙상블 딥러닝 코스피 지수 예측 모형”, Poster, The KSS Summer Conference, June 29-July 1, 2023, Busan, Korea

• 박지원, 박상제, 임창원, “사전 학습 모델을 이용한 언어 기반 오디오 검색 모델 구축”, Poster, The KSS Summer Conference, June 29-July 1, 2023, Busan, Korea