Automatic Extraction of Proteins and Their Interactions from Biological Text. - Kiho Hong; Junhyung Park; Jihoon Yang; Eunok Paek (Discovery Science, 2005)

Biological Text Mining for Extraction of Proteins and Their Interactions. - Kiho Hong; Junhyung Park; Jihoon Yang; Sungyong Park (PReMI, 2005)

A Security Coordination Model for an Inter-Organizational Information Incidents Response Supporting Forensic Process. - Kimoon Jeong; Junhyung Park; Minsoo Kim 002; Bongnam Noh (NCM (2), 2008)

A Measure-Theoretic Approach to Kernel Conditional Mean Embeddings. - Junhyung Park; Krikamol Muandet (NeurIPS, 2020)

Regularised Least-Squares Regression with Infinite-Dimensional Output Space. - Junhyung Park; Krikamol Muandet (CoRR, 2020)

Conditional Distributional Treatment Effect with Kernel Conditional Mean Embeddings and U-Statistic Regression. - Junhyung Park; Uri Shalit; Bernhard Schölkopf; Krikamol Muandet (ICML, 2021)

Towards Empirical Process Theory for Vector-Valued Functions: Metric Entropy of Smooth Function Classes. - Junhyung Park; Krikamol Muandet (ALT, 2023)

A secure firmware and software update model based on blockchains for Internet of Things devices using SBOM. - Da Eun Hyeon; Junhyung Park; Heung Youl Youm (AsiaJCIS, 2023)

A Measure-Theoretic Axiomatisation of Causality. - Junhyung Park; Simon Buchholz; Bernhard Schölkopf; Krikamol Muandet (NeurIPS, 2023)

A continuous Structural Intervention Distance to compare Causal Graphs. - Mihir Dhanakshirur; Felix Laumann; Junhyung Park; Mauricio Barahona (CoRR, 2023)

Classification of benign and malignant subtypes of breast cancer histopathology imaging using hybrid CNN-LSTM based transfer learning. - Mahati Munikoti Srikantamurthy; V. P. Subramanyam Rallabandi; Dawood Babu Dudekula; Sathishkumar Natarajan; Junhyung Park (BMC Medical Imaging, 2023)

Kernel-Based Independence Tests for Causal Structure Learning on Functional Data. - Felix Laumann; Julius von Kügelgen; Junhyung Park; Bernhard Schölkopf; Mauricio Barahona (Entropy, 2023)

Security Requirements for Fully Automated AI Systems to Exercise and Ensure the Rights of Data Subjects. - Junhyung Park; Gunsang You; Yeontae Ji; Heung Youl Youm (AsiaJCIS, 2024)

Products, Abstractions and Inclusions of Causal Spaces. - Simon Buchholz; Junhyung Park; Bernhard Schölkopf (UAI, 2024)

Particle swarm optimization with Applications to Maximum Likelihood Estimation and Penalized Negative Binomial Regression. - Sisi Shao; Junhyung Park; Weng Kee Wong (CoRR, 2024)

Benign Overfitting for Regression with Trained Two-Layer ReLU Networks. - Junhyung Park; Patrick Blöbaum; Shiva Prasad Kasiviswanathan (CoRR, 2024)

A Measure-Theoretic Axiomatisation of Causality and Kernel Regression. - Junhyung Park (2024)

UKTA: Unified Korean Text Analyzer. - Seokho Ahn; Junhyung Park; Ganghee Go; Chulhui Kim; Jiho Jung; Myung Sun Shin; Do-Guk Kim; Young-Duk Seo (SAC, 2025)

A Classical View on Benign Overfitting: The Role of Sample Size. - Junhyung Park; Patrick Blöbaum; Shiva Prasad Kasiviswanathan (CoRR, 2025)