Portfolio

Researches on machine learning algorithms and those applications in various fields

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Research Interests

• Graph-based Machine Learning
  • Graph Representation: Graph Integration, Graph Comparison, Graph Embedding
  • Semi-Supervised Learning: Label Propagation, Optimization
  • Domain Adaptation: Transfer Learning, Heterogeneous Feature Adaptation, Multi-Modal Data, Longitudinal Data
• Application Fields
  • BioMedical Informatics: Disease Progression, Biomarker Identification, Drug Repositioning, Personalized Medicine
  • Text Mining: Sentiment Analysis, Customer Review Analysis
  • Finance: Enterprise Evaluation Model, Enterprise Profiling

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Experience

• Post-doctoral Researcher (September 2022 - Present)
  • Ajou University School of Medicine, Suwon, Republic of Korea

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Education

• Ajou University, Suwon, Republic of Korea (March 2009 - August 2022)

  • Ph.D. in Artificial Intelligence (March 2016 - August 2022)
    • Thesis: Graph Domain Adaptation for Semi-Supervised Learning
    • Advised by Professor Hyunjung Shin [Lab]
  • B.S. in Industrial Engineering (March 2009 - February 2016)

• Daegu Science High School, Daegu, Republic of Korea (March 2006 - February 2009)

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Journal Publications

[ ^† Equally contributed authors & ^* Corresponding authors ]

• [23] Sunghong Park, Hyun Goo Woo^*, Hyunjung Shin^* et al. “Semi-Supervised Mutual Domain Adaptation for Multiple Heterogenous Data”. (In Preparation) (2024)

• [22] Sunghong Park^†, Masaud Shah^†, Hyunjung Shin^*, Hyun Goo Woo^*. “Graph-based multi-domain knowledge learning for identifying novel drug-target associations”. (In Preparation) (2024)

• [21] Sunghong Park^†, Doyoon Kim^†, Dong-gi Lee^†, Sang-Hyuk Jung, Dokyoon Kim^*, Hyun Goo Woo^*, Hyunjung Shin^*. “MuSiG-PRS: multiple SNP-SNP interactions-aware graph neural network for polygenic risk scoring of Alzheimer’s disease”. (In Preparation) (2024)

• [20] Sunghong Park^†, Dong-gi Lee^†, Yonghyun Nam, Dokyoon Kim^*, Hyun Goo Woo^*, Hyunjung Shin^*. “ImGENIUS: plasma proteomic profiling of neurodegenerative biomarkers using interpretable multiplex graph neural networks”. (In Preparation) (2024)

• [19] Sunghong Park^†, Dong-gi Lee^†, Yonghyun Nam, Dokyoon Kim^*, Hyun Goo Woo^*, Hyunjung Shin^*. “BiGPN: biologically informed graph propagational network for plasma proteomic profiling of neurodegenerative biomarkers”. (In Preparation) (2024)

• [18] Sunghong Park^†, Dong-gi Lee^†, Yonghyun Nam, Dokyoon Kim^*, Hyun Goo Woo^*, Hyunjung Shin^*. “PPIxGPN: PPI-aware explainable graph propagational network for plasma proteomic profiling of neurodegeneration-associated biomarkers”. (In Preparation) (2024)

• [17] Sunghong Park^†, Dong-gi Lee^†, Yonghyun Nam, Dokyoon Kim^*, Hyun Goo Woo^*, Hyunjung Shin^*. “SeMantiK: semi-supervised multiplex graph domain adaptation for identifying key genes with disease-specific PPI networks”. (In Preparation) (2024)

• [16] Sunghong Park^†, Hyun Jin Hwang^†, Hyun Goo Woo^* et al. “Graph-based Multi-view Clustering with Adaptive Anchor for Subtype Classification of Tumors in Whole Slide Images”. (In Preparation) (2024)

• [15] Sunghong Park^†, Seung Ho Kim^†, Hyun Goo Woo^* et al. “MoTeR-CLAM: Morphological and Textural Representation-based Classification and Localization of Tumors in Whole Slide Images”. (In Preparation) (2024)

• [14] Sunghong Park, Hyun Goo Woo^* et al. “Label-free Classification and Localization of Tumors in Whole Slide Images with Multi-view Feature Representation-based One-way Domain Adaptation”. (In Preparation) (2024)

• [13] Sunghong Park^†, Doyoon Kim^†, Hyunjung Shin^*, Hyun Goo Woo^* et al. “Machine Learning-Based Prediction of Neuropathological Subtypes of Dementia with Plasma Biomarkers”. (Submitted to) JAMA Network Open (2024)

• [12] Sunghong Park^†, Dong-gi Lee^†, Hyun Goo Woo^*, Hyunjung Shin^* et al. “Explainable multiplex graph propagation network with multimodal neuroimage integration for dementia subtype diagnosis”. (Submitted to) IEEE Transactions on Neural Networks and Learning Systems (2024)

• [11] Sunghong Park^†, Dong-gi Lee^†, Juhyeon Kim^†, Hyunjung Shin^*, Hyun Goo Woo^* et al. “NetPRS: SNP interaction aware network-based polygenic risk score for Alzheimer’s disease”. (Submitted to) IEEE EMBS BHI 2024 Conference (2024)

• [10] Sunghong Park^†, Yonghyun Nam^†, Kanghee Park, Hyun Goo Woo^*, Hyunjung Shin^*. “Multiplex Graph Domain Adaptation for Semi-Supervised Learning”. (Submitted to) IEEE Transactions on Knowledge and Data Engineering (2024)

• [9] Sunghong Park, Hyunjung Shin^* et al. “Prospective Domain Adaptation for Longitudinal Data”. (Submitted to) Knowledge-Based Systems (2024)

• [8] Sunghong Park^†, Doyoon Kim^†, Heirim Lee, Chang Hyung Hong, Sang Joon Son, Hyun Woong Roh, Dokyoon Kim, Yonghyun Nam, Dong-gi Lee, Hyunjung Shin^*, Hyun Goo Woo^*. “Plasma protein-based identification of imaging-driven subtypes in mild cognitive impairment via protein-protein interaction aware explainable graph propagational network”. Computers in Biology and Medicine, 183:109303, December 2024. (JCR2023 - IF=7.0 / Top 2.3%) [Paper]

• [7] Sunghong Park, Chang Hyung Hong, Sang Joon Son, Hyun Woong Roh, Doyoon Kim, Hyunjung Shin^*, Hyun Goo Woo^*. “Identification of molecular subtypes of dementia by using blood-proteins interaction-aware graph propagational network”. Briefings in Bioinformatics, 25(5):bbae428, September 2024. (JCR2023 - IF=6.8 / Top 4.1%) [Paper]

• [6] Sunghong Park, Sang Joon Son, Kanghee Park, Yonghyun Nam, Hyunjung Shin^*. “In-house data adaptation to public data: multisite MRI harmonization to predict Alzheimer’s disease conversion”. Expert Systems with Applications, 238:122253, March 2024. (JCR2022 - IF=8.5 / Top 6.4%) [Paper]

• [5] Sunghong Park^†, Kanghee Park^†, Hyunjung Shin^*. “Network based Enterprise Profiling with Semi-Supervised Learning”. Expert Systems with Applications, 238:121716, March 2024. (JCR2022 - IF=8.5 / Top 6.4%) [Paper]

• [4] Sunghong Park, Myung Jun Kim, Kanghee Park, Hyunjung Shin^*. “Mutual Domain Adaptation”. Pattern Recognition, 145:109919, January 2024. (JCR2022 - IF=8.0 / Top 10.7%) [Paper]

• [3] Sunghong Park, Chang Hyung Hong, Dong-gi Lee, Kanghee Park, Hyunjung Shin^*. “Prospective classification of Alzheimer’s disease conversion from mild cognitive impairment”. Neural Networks, 164:335-344, July 2023. (JCR2022 - IF=7.8 / Top 9.4%) [Paper]

• [2] Sunghong Park, Junhee Cho, Kanghee Park, Hyunjung Shin^*. “Customer sentiment analysis with more sensibility”. Engineering Applications of Artificial Intelligence, 104:104356, September 2021. (JCR2020 - IF=6.212 / Top 7.222%) [Paper]

• [1] Sunghong Park, Dong-gi Lee, Hyunjung Shin^*. “Network Mirroring for Drug Repositioning”. BMC Medical Informatics and Decision Making, 17:1-11, May 2017. (JCR2015 - IF=2.042 / Top 42.500%) [Paper]

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Conference Presentations

[ ^† Equally contributed authors & ^* Corresponding authors ]

• [30] Sunghong Park, Kanghee Park, Hyunjung Shin^*. “Domain adaptation based multi-graph integration for semi-supervised learning”. Proc. of Korea Computer Congress 2022 (KCC 2022), June 2022, Jeju (Korea).

• [29] Sunghong Park, Sang Joon Son, Yonghyun Nam, Hyunjung Shin^*. “Predicting Alzheimer’s disease progression using multi-site domain adaptation”. Proc. of Korea Computer Congress 2022 (KCC 2022), June 2022, Jeju (Korea).

• [28] Sunghong Park, Dong-gi Lee, Chang Hyung Hong, Hyunjung Shin^*. “Prospective Classification for Predicting Alzheimer’s Disease Progression”. Proc. of Korea Computer Congress 2022 (KCC 2022), June 2022, Jeju (Korea).

• [27] Sunghong Park, Kanghee Park, Hyunjung Shin^*. “Semi-supervised learning using domain adaptation-based multi-graph integration”. Proc. of the Korean Institute of Industrial Engineers Conference (KIIE 2022 Spring), June 2022, Jeju (Korea).

• [26] Sunghong Park, Sang Joon Son, Yonghyun Nam, Hyunjung Shin^*. “Dementia progression prediction using multi-site domain adaptation”. Proc. of the Korean Institute of Industrial Engineers Conference (KIIE 2022 Spring), June 2022, Jeju (Korea).

• [25] Sunghong Park, Dong-gi Lee, Chang Hyung Hong, Hyunjung Shin^*. “A Prospective Classification Algorithm for Predicting Dementia Progression”. Proc. of the Korean Institute of Industrial Engineers Conference (KIIE 2022 Spring), June 2022, Jeju (Korea).

• [24] Dong-gi Lee, Junhee Cho, Myungjun Kim, Sunghong Park, Hyunjung Shin^*. “Learning Neural Networks without Lazy Weights”, Proc. of 2022 International Conference on Big Data and Smart Computing (BIGCOMP 2022).

• [23] Myeonggeon Park, Sunghong Park, Hyunjung Shin^*. “Literature Representation using Character Networks based on Sentiment Analysis”, Proc. of 2022 International Conference on Big Data and Smart Computing (BIGCOMP 2022).

• [22] Sunghong Park, Myungjun Kim, Hyunjung Shin^*. “Mutual Label Propagation with Domain Adaptation based Semi-Supervised Learning”. Proc. of the Korean Institute of Industrial Engineers Conference (KIIE 2021 Spring), June 2021, Jeju (Korea).

• [21] Myeonggeon Park, Sunghong Park, Hyunjung Shin^*. “Network based Sentiment Analysis for Narrative Representation”. Proc. of the Korean Institute of Industrial Engineers Conference (KIIE 2021 Spring), June 2021, Jeju (Korea).

• [20] Sunghong Park, Myungjun Kim, Hyunjung Shin^*. “Mutual Semi-Supervised Learning”. Proc. of Korea Software Congress 2020 (KSC 2020), December 2020, Online conference.

• [19] Myeonggeon Park, Sunghong Park, Sunjoo Bang, Hyunjung Shin^*. “Clustering Novels with Character Sentiment Network”. Proc. Of Korea Software Congress 2020 (KSC 2020), December 2020, Online conference.

• [18] Myeonggeon Park, Sunghong Park, Sunjoo Bang, Hyunjung Shin^*. “Extracting Novel Vectors based on Character Network”. Proc. of the Korea Data Mining Society Conference Conference (KDMS 2020 Fall), November 2020, Seoul (Korea).

• [17] Jong Ho Jhee, Sunghong Park, Hyunjung Shin^*. “Graph Classification with Gromov-Wasserstein Distance via Heat Kernel”. Proc. of Korea Software Congress 2019 (KSC 2019), December 2019, PyeongChang (Korea).

• [16] Sunghong Park, Kanghee Park, Hyunjung Shin^*. “Design of Enterprise Evalulation and Potential Prospect Index using Machine Learning”. Proc. of the Korean Institute of Industrial Engineers Conference (KIIE 2019 Fall), November 2019, Seoul (Korea).

• [15] Sunghong Park, Kanghee Park, Hyunjung Shin^*. “Machine Learning based Enterprise Evaluation Model using Financial Information”. Proc. of Korea Software Congress 2018 (KSC2018), December 2019, PyeongChang (Korea).

• [14] Sunghong Park, Kanghee Park and Hyunjung Shin^*. “Machine Learning based Enterprise Prospect Evaluation”. 2019 International Joint Conference on AI & Data Science: Mathematics and Applications, Suwon (Korea).

• [13] Sunghong Park, Kanghee Park, Hyunjung Shin^*. “Financial Information based Enterprise Evaluation Model with Semi-Supervised Learning”. Proc. of the Korea Data Mining Society Conference Conference (KDMS 2018 Fall), November 2018, Seoul (Korea).

• [12] Sunghong Park, Kanghee Park, Hyunjung Shin^*. “Semi-Supervised Learning based Korean Sentiment Dictionary Construction with SentiWordNet”. Proc. of the Korea Data Mining Society Conference Conference (KDMS 2018 Fall), November 2018, Seoul (Korea).

• [11] Dong-gi Lee, Myungjun Kim, Sunghong Park, Hyunjung Shin^*. “Causal Disease Chains from Various Biomedical data”, Proc. of 17th European Conference on Computational Biology 2018 (ECCB 2018).

• [10] Sunghong Park, Dong-gi Lee, Hyunjung Shin^*. “SentiWordNet based Korean Sentiment Dictionary Construction via Machine Learning”. Proc. of Korea Computer Congress 2018 (KCC 2018), June 2018, Jeju (Korea).

• [9] Dong-gi Lee, Myungjun Kim, Sunghong Park, Hyunjung Shin^*. “Inference on Chains of Disease Causal Relationship based on k-shortest Path Algorithm”. Proc. of Korea Computer Congress 2018 (KCC2018), June 2018, Jeju (Korea).

• [8] Sunghong Park, Junhee Cho, Hyunjung Shin^*. “Sentiment Dictionary Construction and Customer Evaluation Analysis via Machine Learning”. Proc. of the Business Intelligence and Data Mining Conference (BIDM 2018 Spring).

• [7] Sunghong Park, Hyunjung Shin^*. “Analysis of Word Polarity Expansion and Emotion Inducing Factors in Sentiment Analysis”. Proc. of The Korean Software Congress 2017 (KSC 2017), December 2017, Busan (Korea).

• [6] Sunghong Park, Dong-gi Lee, Hyunjung Shin^*. “Mirroring Disease Networks for Drug Repositioning”. Proc. of the Korean Society for Cognitive Science (KSCS 2017), May 2017, Seoul (Korea).

• [5] Sunghong Park, Dong-gi Lee, Hyunjung Shin^*. “Machine Learning Algorithm for Drug Repositioning”. Proc. of the Business Intelligence and Data Mining Conference (BIDM 2016 Fall), November 2016, Seoul (Korea)*.

• [4] Sunghong Park, Dong-gi Lee, Hyunjung Shin^*. “Network Mirroring for Drug Repositioning”, Proc. of Translational Bioinformatics Conference 2016 (TBC 2016).

• [3] Sunghong Park, Dong-gi Lee and Hyunjung Shin^*. “Drug Repositioning with Disease Network Reflection”, Proc. of the BIOINFO 2016 (BIOINFO 2016).

• [2] Jiwoo Han, Kangsik Shin, Kilyong Lee, Kyunghye Kim, Minsoo Kim, Sunghong Park, Hyunjung Shin^*. “Development plan for successful PyeongChang 2018 Olympic”. Proc. of Joint Conference on Management Science and Industrial Engineering, April 2016, Jeju (Korea).

• [1] Sunghong Park, Dong-gi Lee, Hyunjung Shin^*. “Network Mirroring for Drug Repositioning”. Proc. of Joint Conference on Management Science and Industrial Engineering (MSIE 2016), April 2016, Jeju (Korea).

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Patents

• [6] PROSPECTIVE CLASSIFICATION DEVICE FOR PREDICTING DEMENTIA AND OPERATION METHOD OF THE SAME [Link]
  • Application No.: 18/401,742 (Filed: Jan. 2, 2024) & Publication No.: US 2024/0221955 A1 (Date: Jul. 4, 2024).
  • Inventors: Hyunjung Shin, Chang Hyung Hong, Sang Joon Son, Hyun Woong Roh, Sunghong Park.
• [5] LEARNING METHOD AND DEVICE FOR ALZHEIMER PREDICTION MODEL BASED ON DOMAIN ADAPTATION [Link]
  • Application No.: 18/401,741 (Filed: Jan. 2, 2024) & Publication No.: US 2024/0221946 A1 (Date: Jul. 4, 2024).
  • Inventors: Hyunjung Shin, Chang Hyung Hong, Sang Joon Son, Hyun Woong Roh, Sunghong Park.
• [4] Domain adaptation method for longitudinal data and device using thereof [Link]
  • Application No.: 18/398,170 (Filed: Dec. 28, 2023) & Publication No.: US 2024/0220575 A1 (Date: Jul. 4, 2024).
  • Inventors: Hyunjung Shin, Chang Hyung Hong, Sang Joon Son, Hyun Woong Roh, Sunghong Park.
• [3] 치매 예측을 위한 전향적 분류 장치 및 이의 동작 방법 [Link]
  • 출원번호: 10-2023-0196108 (출원일자: 2023년 12월 29일) & 공개번호: 10-2024-0108289 (공개일자: 2024년 07월 09일).
  • 발명자: 신현정, 박성홍, 손상준, 홍창형, 노현웅.
• [2] 도메인 적응 기반 알츠하이머 예측 모델 학습 방법 및 장치 [Link]
  • 출원번호: 10-2023-0196220 (출원일자: 2023년 12월 29일) & 공개번호: 10-2024-0108291 (공개일자: 2024년 07월 09일).
  • 발명자: 신현정, 박성홍, 손상준, 홍창형, 노현웅.
• [1] 종단적 데이터에 대한 도메인 적응 방법 및 이를 이용한 장치 [Link]
  • 출원번호: 10-2023-0192832 (출원일자: 2023년 12월 27일) & 공개번호: 10-2024-0108271 (공개일자: 2024년 07월 09일).
  • 발명자: 신현정, 박성홍, 손상준, 홍창형, 노현웅.

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Awards

• [4] Best Presentation Paper Award, Proc. of Korea Computer Congress 2022 (KCC 2022)
  • Sunghong Park, Sang Joon Son, Yonghyun Nam, Hyunjung Shin*. “Predicting Alzheimer’s disease progression using multi-site domain adaptation”.
• [3] Best Paper Award, Proc. of Korea Software Congress 2020 (KSC 2020)
  • Sunghong Park, Myungjun Kim, Hyunjung Shin*. “Mutual Semi-Supervised Learning”.
• [2] Best Paper Award, Proc. of Korea Computer Congress 2018 (KCC 2018)
  • Dong-gi Lee, Myungjun Kim, Sunghong Park, Hyunjung Shin*. “Inference on Chains of Disease Causal Relationship based on k-shortest Path Algorithm”.
• [1] Best Presentation Paper Award, Proc. of Korea Computer Congress 2018 (KCC 2018)
  • Sunghong Park, Dong-gi Lee, Hyunjung Shin*. “SentiWordNet based Korean Sentiment Dictionary Construction via Machine Learning”.