Publication

International Journal (Google scholar)

1. Ryong Heo, Dahyeon Lee, Byung Ju Kim, Sangmin Seo, Sanghyun Park, Chihyun Park, "KNU-DTI: KNowledge United Drug-Target Interaction prediction", Computers in Biology and Medicine, Vol.189, 2025. [IF: 7.0, Top 2.3% in MATHEMATICAL & COMPUTATIONAL BIOLOGY]

2. Hyosoon Jang, Sangmin Seo, Sanghyun Park, Byung Ju Kim, Geon-Woo Choi, Jonghwan Choi, Chihyun Park, "De novo Drug Design through Gradient-based Regularized Search in Information-theoretically Controlled Latent Space", Journal of Computer-Aided Molecular Design, Vol.38, 2024.

3. Seungyeon Choi, Sangmin Seo, Byungju Kim, Chihyun Park, Sanghyun Park, "PIDiff: Physics Informed Diffusion Model for Protein Pocket-Specific 3D Molecular Generation", Computers in biology and medicine, Vol.180, 2024. [IF: 7.0, Top 2.3% in MATHEMATICAL & COMPUTATIONAL BIOLOGY]

4. Hyun Suh Cho, Yoon Ho Park, Sungjin Moon, Chihyun Park, Hyun Suk Jung, Sim Namkoong, "Targeting the NTF2-like domain of G3BP1: Novel modulators of intracellular granule dynamics", Biochemical and Biophysical Research Communications, Vol.697, 2024.

5. Sangmin Seo, Jonghwan Choi, Seungyeon Choi, Jieun Lee, Chihyun Park, Sanghyun Park, "Pseq2Sites: Enhancing protein sequence-based ligand binding-site prediction accuracy via the deep convolutional network and attention mechanism", Engineering Applications of Artificial Intelligence, Vol.127, Part A, 2024. [IF: 8.0, Top 5% in ENGINEERING, MULTIDISCIPLINARY]

6. Songsoo Yang*, Hyosoon Jang*, In Kyu Park*, Hye Sun Lee, Eun Jung Park, Seung Hyuk Baik, Kang Young Lee, Ga Eul Oh, Chihyun Park#, Jeonghyun Kang#, "Machine learning algorithms using systemic inflammatory markers for predicting oncological outcomes of colorectal cancer after surgery", Annals of Surgical Oncology, Vol.30, pp.8717-8726, 2023. (* Co-First, # Co-Corresponding)

7. Payam Hosseinzadeh Kasani, Jung Eun Lee, Chihyun Park, Cheol-Heui Yun, Jae-Won Jang, Sang-Ah Lee, "Evaluation of nutritional status and clinical depression classification using an explainable machine learning method", Frontiers in Nutrition, vol.10, 2023.

8. Jonghwan Choi, Sangmin Seo, Seungyeon Choi, Shengmin Piao, Chihyun Park, Sung Jin Ryu, Byung Ju Kim, Sanghyun Park, "ReBADD-SE: Multi-objective molecular optimisation using SELFIES fragment and off-policy self-critical sequence training", Computers in Biology and Medicine, vol.157, article 106721, 2023. [IF: 6.698, Top 9.65% in MATHEMATICAL & COMPUTATIONAL BIOLOGY]

9. Choi, Sang-Min, Dongwoo Lee, Kiyoung Jang, Chihyun Park#, Suwon Lee#, "Improving Data Sparsity in Recommender Systems Using Matrix Regeneration with Item Features", Mathematics, Vol.11, No.2, 2023. (# Co-Corresponding)

10. Chaeyoon Park, Jae-Won Jang, Gihun Joo, Yeshin Kim, Seongheon Kim, Gihwan Byeon, Sang Won Park, Payam Hosseinzadeh Kasani,  Sujin Yum, Jung-Min Pyun, Young Ho Park, Jae-Sung Lim, Young Chul Youn, Hyun-Soo Choi, Chihyun Park, Hyeonseung Im, SangYun Kim, "Predicting progression to dementia with “comprehensive visual rating scale” and machine learning algorithms", Frontiers in Neurology, 2022.

11. Eun Jae Yang, Ji Hwan Park, Hyun-Ji Cho, Jeong-A Hwang, Seung-Hwa Woo, Chihyun Park, Sung Young Kim, Joon Tae Park, Sang Chul Park, Daehee Hwang, Young-Sam Lee, "Co-inhibition of ATM and ROCK synergistically improves cell proliferation in replicative senescence by activating FOXM1 and E2F1", Communications Biology, Vol.5, 702, 2022.

12. Ji-Hwan Park, Sung Jin Ryu, Byung Ju Kim, Hyun-Ji Cho, Chihyun Park, Hyo Jei Claudia Choi, Eun-Jin Jang, Eun Jae Yang, Jeong-A Hwang, Seung-Hwa Woo, Jun Hyung Lee, Ji Hwan Park, Kyung-Mi Choi, Young-Yon Kwon, Cheol-Koo Lee, Joon Tae Park, Sung Chun Cho, Yun-Il Lee, Sung Bae Lee, Jeong A. Han, Kyung A Cho, Min-Sik Kim, Daehee Hwang, Young-Sam Lee & Sang Chul Park, "Disruption of nucleocytoplasmic trafficking as a cellular senescence driver", Experimental and Molecular Medicine, Vol.53, pp.1092-1108, 2021. [IF:8.718, Top 9.64% in Medicine, Research & Experimental]

13. Jihwan Ha, Chihyun Park, "MLMD: Metric Learning for Predicting MiRNA-Disease Associations", IEEE Access, Vol.9, pp.78847-78858, 2021.

14. Chihyun Park, Jean R. Clemenceau, Anna Seballos, Sara Crawford, Rocio Lopez, Tyler Coy, Gowtham Atluri, Tae Hyun Hwang, "A Spatiotemporal Analysis of Opioid Poisoning Mortality in Ohio from 2010 to 2016", Scientific Reports, Vol.11, 2021.

15. Chihyun Park, Ilhwan Oh, Jonghwan Choi, Soohyun Ko, Jaegyoon Ahn, "Improved Prediction of Cancer Outcome using Graph-Embedded Generative Adversarial Networks", IEEE Access, Vol.9, pp.20076-20088, 2021.

16. Jeonghyun Kang, Jae-Hoon Lee, Hye Sun Lee, Eun-Suk Cho, Eun Jung Park, Seung Hyuk Baik, Kang Young Lee, Chihyun Park, Yunku Yeu, Jean R. Clemenceau, Sunho Park, Hongming Xu, Changjin Hong, Tae Hyun Hwang, "Radiomics Features of 18F-Fluorodeoxyglucose Positron-Emission Tomography as a Novel Prognostic Signature in Colorectal Cancer", Cancers, Vol.13, No.3, 392, 2021.

17. Sang-Min Choi, Dongwoo Lee, Chihyun Park, "On the Smaller Number of Inputs for Determining User Preferences in Recommender Systems", Mathematics, Vol.8, No.12, 2138, 2020.

18. Sang-Min Choi, Jiho Park, Kiyoung Jang, Chihyun Park, "Rapid Consensus Structure: Continuous Common Knowledge in Asynchronous Distributed Systems", Mathematics, Vol.8, No.10, 1673, 2020.

19. Defne Bayik, Yadi Zhou, Chihyun Park, Changjin Hong, Daniel Vail, Daniel J Silver, Adam J Lauko, Gustavo A Roversi, Dionysios C Watson, Alice Lo, Tyler J Alban, Mary McGraw, Mia D Sorensen, Matthew M Grabowski, Balint Otvos, Michael A Vogelbaum, Craig M Horbinski, Bjarne W Kristensen, Ahmad M Khalil, Tae Hyun Hwang, Manmeet S Ahluwalia, Feixiong Cheng, Justin Lathia, "Myeloid-derived suppressor cell subsets drive glioblastoma growth in a sex-specific manner", Cancer Discovery, Vol.10, No.8, pp.1210-1225, 2020. [IF:39.397, Top 2.39% in oncology]

20. Jihwan Ha, Chihyun Park, Chanyoung Park, Sanghyun Park, "Improved Prediction of miRNA-Disease Associations Based on Matrix Completion with Network Regularization", Cells, Vol.9, No.4, 2020. 

21. Minsoo Cho, Jihwan Ha, Chihyun Park, Sanghyun Park, "Combinatorial feature embedding based on CNN and LSTM for biomedical named entity recognition", Journal of Biomedical Informatics, Vol.103, 2020.

22. Jihwan Ha, Chihyun Park, Chanyoung Park, Sanghyun Park, "IMIPMF: Inferring miRNA-disease interactions using probabilistic matrix factorization", Journal of Biomedical Informatics, Vol.102, 2020.

23. Chihyun Park, Jihwan Ha, Sanghyun Park, "Prediction of Alzheimer’s disease based on deep neural network by integrating gene expression and DNA methylation dataset", Expert Systems With Applications, Vol.140, 2020. 

24. Geonhee Lee*, Chihyun Park*, Jaegyoon Ahn, "Novel deep learning model for more accurate prediction of drug-drug interaction effects", BMC bioinformatics, Vol.20, 2019 (* Co-First)

25. Jihwan Ha, Chihyun Park, Sanghyun Park, "PMAMCA: Prediction of MicroRNA-disease Association utilizing a Matrix Completion Approach", BMC Systems Biology, Vol.13, No.33, 2019.

26. Giup Jang, Taekeon Lee, Soyoun Hwang, Chihyun Park, Jaegyoon Ahn, Sukyung Seo, Youhyeon Hwang, Youngmi Yoon, "PISTON: Predicting drug indications and side effects using topic modeling and natural language processing", Journal of Biomedical Informatics, Vol.97, pp.96-107, 2018.

27. Jungrim Kim, Mincheol Shin, Jeongwoo Kim, Chihyun Park, Sujin Lee, Jaemin Woo, Hyerim Kim, Dongmin Seo, Seokjong Yu, Sanghyun Park, "CASS: A distributed network Clustering Algorithm based on Structure Similarity for large-scale network", PLoS One, Vol.13, No.10, 2018.

28. Chihyun Park, JungRim Kim, Jeongwoo Kim, Sanghyun Park, "Machine Learning-based Identification of Genetic Interactions from Heterogeneous Gene Expression Profiles", PLoS One, Vol.13, No.7, 2018.

29. Joon Tae Park, Hyun Tae Kang, Chihyun Park, Young-Sam Lee, Kyung A. Cho, Sang Chul Park, "A crucial role of ROCK for alleviation of senescence-associated phenotype", Experimental Gerontology, Vol.106, pp.8-15, 2018.

30. Jeongwoo Kim, Changbae Bang, Hyeonseo Hwang, Doyoung Kim, Chihyun Park, Sanghyun Park, "IMA: Identifying disease-related genes using MeSH terms and association rules", Journal of Biomedical Informatics, Vol.76, pp.110-123, 2017.

31. Youhyeon Hwang, Min Oh, Giup Jang, Taekeon Lee, Chihyun Park, Jaegyoon Ahn and Youngmi Yoon, “Identifying common genetic network of ADR (adverse drug reaction) clusters and developing ADR classification mode”, Molecular BioSystems, Vol.13, No.9, 2017.

32. Chihyun Park, Youngmi Yoon, Oh Min, Seok Jong Yu, Jaegyoon Ahn, “Systematic Identification of Differential Gene Network to Elucidate Alzheimer’s Disease”, Expert Systems with Applications, Vol.85, pp.249-260, 2017.

33. Chihyun Park, Sojeong Yun, Sung-Jin Ryu, Soyoung Lee, Young-Sam Lee, Youngmi Yoon and Sang Chul Park, “Systematic identification of an integrative network module during senescence from time-series gene expression”, BMC Systems Biology. Vol.11, No.36, 2017.

34. Min Oh, Jaegyoon Ahn, Giup Jang, Taekeon Lee, Chihyun Park and Youngmi Yoon, “Drug Voyager: A Computational Platform for Exploring Unintended Drug Action”, BMC bioinformatics, Vol. 18, No.131, 2017.

35. Sanghyun Park, You-min Ha, Chihyun Park, Sang-Wook Kim, “Efficient Processing of Continuous Queries Utilizing F-relationship in Stock Databases”, Computer Science and Information Systems, Vol.13, No.1, pp.131-149, 2016.

36. Chihyun Park, Jaegyoon Ahn, Hyunjin Kim, Sanghyun Park, "Integrative Gene Network Construction to Analyze Cancer Recurrence by using Semi-Supervised Learning", PLoS One, Vol.9, No.1, 2014.

37. Hyunjin Kim, Jaegyoon Ahn, Chihyun Park, Youngmi Yoon, Sanghyun Park, "ICP: A Novel Approach to Prognosis of Prostate Cancer with Inner-class Clustering of Gene Expression Data", Computers in Biology and Medicine, Vol. 43, No.10, pp.1363-1373, 2013.

38. Chihyun Park, Jaegyoon Ahn, Youngmi Yoon, Sanghyun Park, "Identification of functional CNV region networks using a CNV-gene mapping algorithm in a genome-wide scale", Bioinformatics, Vol. 28, No.15, pp.2045-2051, 2012.

39. Jaegyoon Ahn, Youngmi Yoon, Chihyun Park, Sanghyun Park, "CNV Detection Method Optimized for High Resolution arrayCGH by Normality Test", Computers in Biology and Medicine, Vol.42, No.4, pp.468-473, 2012.

40. Chihyun Park, Jaegyoon Ahn, Youngmi Yoon, Sanghyun Park, "A Multi-sample based Method for Identifying Common CNVs in Normal Human Genomic Structure using High-resolution aCGH Data", PLoS One, Vol.6, No.10, 2011.

41. Jaegyoon Ahn, Youngmi Yoon, Chihyun Park, Eunji Shin, Sanghyun Park, "Integrative Gene Network Construction for Predicting a Set of Complementary Prostate Cancer Genes", Bioinformatics, Vol. 27, No. 13, pp.1846-1853, 2011.

International Conference

1. Seungyeon Choi, Hwanhee Kim, Chihyun Park, Dahyeon Lee, Seungyong Lee, Yoonju Kim, Hyoungjoon Park, Sein Kwon, Youngwan Jo, Sanghyun Park, "Controllable 3D Molecular Generation for Structure-Based Drug Design Through Bayesian Flow Networks and Gradient Integration", Proceedings of 27th European Conference on Artificial Intelligence (NeurIPS 2025), San Diego, USA, December, 2025. [BK21 Top Conference, IF: 4]

2. Seungyeon Choi, Sangmin Seo, Jonghwan Choi, Chihyun Park#, Sanghyun Park#, "DrDiff: Drug Response Prediction Through Controllable Diffusion-GE and Graph Attention Network", Proceedings of 27th European Conference on Artificial Intelligence (ECAI 2024), Santiago de Compostela, Spain, October, 2024. (# Co-Corresponding) [BK21 Top Conference, IF: 1]

3. Sara Crawford, Chihyun Park, Jean Clemenceau, Rocio Lopez, Megan Snair, Tae Hyun Hwang, "Opioid Related Mortality in Ohio, 2010-2016", Poster abstracts of 2019 Annual Research Meeting is organized by AcademyHealth, 2019.

4. Defne Bayik, Tyler Alban, Daniel Silver, Chihyun Park, Emily Serbinowski, Dionysios Watson, Tae Hyun Hwang, Michael Vogelbaum, Justin Lathia, “Dexamethasone Drives Myeloid-Derived Suppressor Cell Accumulation In Glioblastoma In A Sex-Specific Manner”, Neuro-Oncology, Volume 20, Issue suppl_6, Page vi267, 2018. (The 23rd Annual Scientific Meeting and Education Day of the Society for Neuro-Oncology)

5. Mincheol Shin, Jeongwoo Kim, Jungrim Kim, Dongmin Seo, Chihyun Park, Seok Jong Yu, Sanghyun Park, "CATS: A Big Network Clustering Algorithm Based on Triangle Structures", Poster abstracts of ACM SAC 2017, Marrakesh, Morocco, April, 2017. [BK21 Top Conference, IF: 1]

6. Chihyun Park, Jaegyoon Ahn, Youngmi Yoon, Sanghyun Park, "Semi-supervised learning based workflow for predicting recurrence of breast cancer", Poster abstracts of 20th Annual International Conference on Intelligent Systems for Molecular Biology and 11th European Conference on Computational Biology (ISMB-ECCB 2012), Long Beach, USA, July, 2012. [BK21 Top Conference, IF: 1]

7. Myungjin Moon, Jaegyoon Ahn, Youngmi Yoon, Chihyun Park, Sanghyun Park, "A Computational Approach to Detect CNVs Using High-throughput Sequencing", Proceedings of 9th IEEE International Conference on BioInformatics and BioEngineering (BIBE 2009), Taichung, Taiwan, June, 2009. 

8. Chihyun Park, Youngmi Yoon, Jaegyoon Ahn, Myungjin Moon, Sanghyun Park, "A Novel Approach to detect Copy Number Variation using Segmentation and Genetic Algorithm", Proceedings of 24th ACM Symposium on Applied Computing (ACM SAC 2009), Hawaii, USA, March, 2009. [BK21 Top Conference, IF: 1]

Domestic(Korean) Journal

1. Jaeho Jung, Chihyun Park, "A Real-Time Framework for Image-based Object Congestion Level Classification with Pseudo-Labeling and Deep Learning", Journal of KIIT(한국정보기술학회논문지), Vol.23, No.9, 2025.

2. Inju Lee, Chihyun Park, "A Prediction for Injury Severity Based on Crash Report Sampling Data", Database Research(데이타베이스연구), Vol.41, no.2, pp.125-137, 2025.

3. FURUNO HIROYOSHI, Chihyun Park, "A Comprehensive Analysis of Optimized IoU Loss Function Variants in YOLO-based Object Detection and Distance Estimation", Database Research(데이타베이스연구), Vol.41, no.2, pp.99-113, 2025.

4. Geon-Woo Choi, Hyosoon Jang, Sangmin Seo, Jonghwan Choi , Byung-ju kim, Sanghyun Park, Sang-Min Choi, Chihyun Park, "A deep generative model for de novo drug design based on Thompson sampling", Database Research(데이타베이스연구), Vol.38, no.3, pp.47-61, 2022.

5. Hyosoon Jang, Chihyun Park, "Deep generative models based for de novo drug discovery", Communications of KIISE(정보과학회지), Vol.40, No.3, pp.41-47, 2022.

6. Soohyun Ko, Chihyun Park, Jaegyoon Ahn, "Predicting Chemical Structure of Drugs Using Deep Learning", Journal of KIISE (정보과학회논문지), Vol.48, No.2, pp.234-242, 2021.

7. Gihun Joo, Chihyun Park, Hyeonseung Im, "Performance Evaluation of Machine Learning Optimizers", Journal of IKEEE (전기전자학회논문지), Vol.24, No.3, pp.766-776, 2020.

8. Chihyun Park, Sanghyun Park, Hyunjin Kim, Yunky Yeu, Jaegyoon Ahn, “Graph-based Semi-Supervised Learning Method for Predicting Prognosis of Cancer”, Journal of KIISE : Computing Practices and Letters, Feb. 2013. 

9. Kyuho Kyung, Chihyun Park, Yunku Yeu, Sanghyun Park, "Prime Number based hash Algorithm and Clustering Approach for Effective Alignment of Reads from Next Generation Sequencing", Journal of Database Research, August, 2012. 

10. Yunku Yeu, Chihyun Park, Jaegyoon Ahn, Minseo Park, Pankyu Kim, Sanghyun Park, "A Survey of Sequence Alignment Algorithms for Next-Generation Sequencing Read", Journal of Database Research, April, 2012. 

11. Chihyun Park, Jaegyoon Ahn, Youngmi Yoon, Sanghyun Park, "Genome-Wide Association Study between Copy Number Variation and Gene Expression by Protein-Protein Interaction-Network", Journal D of Korea Information Processing Society (KIPS), April, 2011. 

12. Myungjin Moon, Chihyun Park, Youngmi Yoon, Jaegyoon Ahn, Sanghyun Park, "A Novel Approach to Detect CNVs with Paired-end Reads From Next-generation Sequencing", Journal of Database Research, December, 2009. 

13. Chihyun Park, Woo-Cheol Kim, Hong-Chan Roh, Sanghyun Park, "FMAX(Flexible MetadatA eXtention) Filesystem: Design and Implementation of Linux Kernel-Level Metadata Filesystem", Journal of Database Research, August, 2008. 

Domestic(Korean) Conference

1. FURUNO HIROYOSHI, 허룡, 이다현, 박치현, "단백질 표적 화합물의 효율적인 부분 재조합을 통한 아날로그 탐색 연구", Korea Computer Congress, 2024. [우수논문상]

2. 이다현, 허룡, 박치현, "분자 도킹 시뮬레이션 데이터를 이용한 트랜스포머 기반 결합 친화도 예측 모델", Korea Computer Congress, 2024.

3. 김세현, 허룡, 박치현, "데이터 증강을 이용한 혈뇌장벽 투과성 예측 모델 연구", Korea Computer Congress, 2024. [학부생부분 최우수상]

4. 최건우, 장효순, 박치현, "약물표적 결합 친화력을 갖는 화합물을 생성하기 위한 딥러닝 모델", Korean DataBase Conference(KDBC), 56쪽-59쪽, 2021.

5. 오가을, 장효순, 박치현, "퓨샷 러닝 기반 항암제 약물 반응 예측 모델", Korean DataBase Conference(KDBC), 60쪽-63쪽, 2021.

6. 최승연, 김지태, 송하원, 최병원, 허예림, 박치현, "KEGG 데이터베이스와 유전자 발현 데이터를 통합한 머신러닝 기반 약물반응성 예측모델", Korean DataBase Conference(KDBC), 64쪽-67쪽, 2021.

7. 김현진, 안재균, 박치현, 윤영미, 박치현, " 유전자 발현량 데이터의 클러스터링을 이용한 다중 클래스 분류 모델", 제 36회 한국정보처리학회 추계학술발표대회, 하권, 1240-1242쪽, 2011.

8. 박치현, 박상현, "군집화를 통한 메타데이터 종 분류 방법", 유비쿼터스컴퓨팅과웹정보기술 2009, 3권, 157-161쪽, 2009. 

9. 김소연, 노홍찬, 박치현, 박상현, "대용량 분산 파일 시스템 상에서의 메타데이터 서버 분석", Korea Computer Congress 2009, 36권, 64-69쪽, 2009.

10. 김소연, 노홍찬, 박치현, 박상현, "리눅스 기반의 SSD 상에서 동작하는 파일 시스템의 I/O 분석 모듈 설계", Korea Computer Congress 2008, 15권, 257-260쪽, 2008.

11. 문명진, 안재균, 윤영미, 박치현, 박상현, "유전체 단위 반복 변이(CNV) 발견을 위한 개선된 SW-ARRAY", Korea Computer Congress 2008, 35권, 208-211쪽, 2008.

12. 김종현, 박치현, 박상현, "이배체 유전체들의 서열비교를 위한 유전체 염기서열 생성도구 개발", 제 28회 한국정보처리학회 추계학술발표대회, 14권, 272-273쪽, 2007. 

13. 박치현, 노홍찬, 유진희, 임지영, 김우철, 박상현, “FMAX(Flexible MetadatA eXtention) File System: 효과적인 메타데이터 관리를 위한 파일시스템 모델”, 제 34회 한국정보과학회 추계학술발표대회, C권, 6-11쪽, 2007.

Patent

1. 박상현, 최종환, 서상민, 박치현, "다중 목적 분자 생성 모델 학습 방법 및 장치", 2024.02.28, 10-2024-0029078 (출원)

2. 박치현, 박상현, 안재균, 최종환, 오일환, “유전자 네트워크 구축 장치 및 방법”, 2019.10.14, 10-2034271 (등록)

3. 박치현, 박상현, “APPARATUS AND METHOD FOR CONSTRUCTING GENE NETWORK”, 2018.03.13, PCT/KR 2018/002915 (출원) 

4. 박상현, 김현진, 안재균, 윤영미, 박치현, “METHOD FOR PREDICTING PROGNOSIS OF CANCER”, 2016.08.12, PCT/KR2015/000228, US 15/118,817 (출원)

5. 박치현, 윤소정, “유전자 발현 데이터를 이용하여 표현형 특이적인 유전자 네트워크를 식별하는 방법 및 장치”, 2015.06.24, 10-2015-0090016 (출원)

6. 김항규, 여해동, 박치현, “METHOD AND DEVICE FOR PROVIDING USER-CUSTOMIZED INFORMATION”, 2015.01.20, PCT/KR2015/000563, EP15737233.5A (출원)

7. 윤소정, 하영완, 박치현, “화합물에 결합하는 단백질을 탐색하는 방법”, 2014.12.03, 10-2014-0172375 (출원)

8. 박상현, 김현진, 안재균, 윤영미, 박치현, “유전자 클래스 결정 방법”, 2014.12.10, 10-1473341 (등록)

9. 김항규, 여해동, 박치현, “사용자 맞춤형 정보를 제공하는 방법 및 장치”, 2014.01.20, 10-2014-0006738 (출원)

Program registration (Korean)

1. 박치현, 외 12명, “치매 데이터 네트워크 가시화 시스템”, 제C-2016-030124호

2. 박치현, 외 12명, “치매 데이터 네트워크 통합 분석 서버 시스템”, 제C-2016-030125호

3. 서동민, 박치현, 외 7명, “SPARK 기반 대용량 네트워크 분산 서브그래프 매칭”, 제C-2016-026423호

4. 서동민, 박치현, 외 7명, “SPARK 기반 대용량 네트워크 분산 클러스터링”, 제C-2016-026485호