Jinyoung Han, Ph.D.

Sungkyunkwan University
90311 International Hall, 25-2 Sungkyunkwan-ro Jongno-gu, Seoul, Republic of Korea, 03063

E-mail: jinyounghan AT skku DOT edu

Bio

Jinyoung Han is Associate Professor in the Department of Applied Artificial Intelligence at Sungkyunkwan University (SKKU), where he leads the Data Science and Artificial Intelligence Lab (DSAIL). Before joining SKKU, he was Assistant Professor at Hanyang University (ERICA). He was a postdoctoral researcher at University of California, Davis, and Seoul National University. He received his Ph.D. in computer science and engineering from Seoul National University in 2013, and B.S. degree in computer science from KAIST in 2007. His research interests generally lie in data mining, network science, machine learning, social computing, and Internet.

• • 03/2023 -                      Associate Professor at Sungkyunkwan University

    • Head of Department of Applied Artificial Intelligence (2020-2021, 2023-current)

  • 09/2019 - 02/2023 Assistant Professor at Sungkyunkwan University

  • 03/2017 - 08/2019 Assistant Professor at Hanyang University (ERICA)

    • Chair of Division of ICT (2019)

    • Head of Department of Human-Computer Interaction (2019)

    • Director of Data Science Track, Department of Media Technology (2018-2019)

  • 03/2014 - 02/2017 Postdoc at University of California, Davis (Host: Prof. Chen-Nee Chuah)

  • 03/2013 - 02/2014 Postdoc at Seoul National University (Host: Prof. Ted "Taekyoung" Kwon)

  • 03/2003 - 08/2005 Software Engineer at SOFTMAX CO., LTD
         

  • 09/2007 - 02/2013 Ph.D. in Computer Science and Engineering at Seoul National University (Advisors: Prof. Yanghee Choi and Prof. Ted "Taekyoung" Kwon)

  • 03/2000 - 08/2007 B.S. in Computer Science at KAIST

Selected Recent Publications (full list)

• Daeun Lee**, Hyolim Jeon**, Sejung Son, Chaewon Park, Jihyun An, Seungbae Kim, and Jinyoung Han*, "Detecting Bipolar Disorder from Misdiagnosed Major Depressive Disorder with Mood-Aware Multi-Task Learning," The North American Chapter of the Association for Computational Linguistics (NAACL), June 2024.

• Jiwon Kang, Jiwon Kim, Migyeong Yang, Chaehee Park, Taeeun Kim, Hayeon Song, and Jinyoung Han*, "SceneDAPR: A Scene-Level Free-Hand Drawing Dataset for Web-based Psychological Drawing Assessment," The Web Conference (formerly WWW), May 2024.  

• Daeun Lee**, Sejung Son**, Hyolim Jeon, Seungbae Kim, and Jinyoung Han*, "Learning Co-Speech Gesture for Multimodal Aphasia Type Detection," The 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP), December, 2023.

• Jeewoo Yoon**, Jinyoung Han**, Junseo Ko, Seong Choi, Ji In Park, Joon Seo Hwang, Jeong Mo Han, and Daniel Duck-Jin Hwang*, "Developing and evaluating an artificial intelligence-based computer-aided diagnosis system for retinal disease: A diagnostic study for central serous chorioretinopathy," Journal of Medical Internet Research (JMIR), 25:e48142, November 2023. (SCIE, JCR 2022 IF=7.4)

• Juho Jung, Chaewon Kang, Jeewoo Yoon, Simon S. Woo, and Jinyoung Han*, "SAFE: Sequential Attentive Face Embedding with Contrastive Learning for Deepfake Video Detection," ACM International Conference on Information and Knowledge Management (CIKM), October, 2023. (short)

• Daeun Lee, Sejung Son, Hyolim Jeon, Seungbae Kim, and Jinyoung Han*,“Towards Suicide Prevention from Bipolar Disorder with Temporal Symptom-Aware Multitask Learning,” ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), August, 2023. 

• Seungbae Kim, Jyun-Yu Jiang, Jinyoung Han*, and Wei Wang, "InfluencerRank: Discovering Effective Influencers via Graph Convolutional Attentive Recurrent Neural Networks," International AAAI Conference on Web and Social Media (ICWSM), June 2023.

• Jiwon Kim**, Jiwon Kang**, Taeeun Kim, Hayeon Song, and Jinyoung Han*, ''AlphaDAPR: An AI-based Explainable Expert Support System for Art Therapy,"  ACM Conference on Intelligent User Interfaces (IUI), March 2023. (acceptance rate = 66/274 = 24.1%).

• Jiwon Kang, Chaewon Kang, Jeewoo Yoon, Houggeun Ji, Taihu Li, Hyunmi Moon, Minsam Ko*, and Jinyoung Han*, "Dancing on the Inside: A Qualitative Study on Online Dance Learning with Teacher-AI Cooperation," Education and Information Technologies, 28:12111–12141, March 2023. (SSCI, JCR 2022 IF = 5.5)

• Jiwon Kang**, Jieun Kim**, Taenyun Kim, Hayeon Song*, and Jinyoung Han*, "Experiencing stress during COVID-19: A computational analysis of stressors and emotional responses to stress," Cyberpsychology, Behavior, and Social Networking, Vol. 25, Issue 9, pp. 561-570, September 2022. (SSCI, JCR 2021 IF = 6.135) 

• Migyeong Yang**, Kyungha Lee**, Eunji Kim, Yeosol Song, Sewang Lee, Jiwon Kang, Jinyoung Han*, Hayeon Song*, and Taeeun Kim, "Magic Brush: An AI-based Service for Dementia Prevention focused on Intrinsic Motivation," ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW), November, 2022.

• Jeewoo Yoon, Jinyoung Han*, Erik Bucy, and Jungseock Joo, "Predicting Emotional Intensity in Political Debates via Non-verbal Signals," INTERSPEECH, September, 2022.

• Jiwon Kang, Jeewoo Yoon, Eunil Park, and Jinyoung Han*, "Why Tag Me?: Detecting Motivations of Comment Tagging in Instagram," Expert Systems With Applications, vol. 202, pp.117171, September, 2022. (SCIE, JCR 2021 IF=8.665)

• Daeun Lee, Migyeong Kang, Minji Kim, and Jinyoung Han*, "Detecting Suicidality with a Contextual Graph Neural Network," The workshop on Computational Linguistics and Clinical Psychology (CLPsych), July, 2022.

• Daejin Choi, Hyuncheol Oh, Selin Chun, Taekyoung Kwon, and Jinyoung Han*, "Preventing Rumor Spread with Deep Learning," Expert Systems With Applications , vol. 197, pp. 116688, July, 2022. (SCIE, JCR 2021 IF=8.665) 

• Doha Kim**, Chaewon Park**, Eunji Kim, Jinyoung Han*, and Hayeon Song*, "Social Sharing of Emotion During the COVID-19 Pandemic," Cyberpsychology, Behavior, and Social Networking, Vol. 25, Issue 6, June, 2022. (SSCI, JCR 2021 IF = 6.135) 

• Jiwon Kang, Jina Kim, Migyeong Yang, Eunil Park, Minsam Ko, Munyoung Lee, and Jinyoung Han*, "Behind the Scenes of K-pop Fandom: Unveiling K-pop Fandom Collaboration Network," Quality & Quantity, vol. 56, pp. 1481-1502, June 2022. (SSCI) 

• Jeewoo Yoon, Chaewon Kang, Seungbae Kim, and Jinyoung Han*, "D-Vlog: Multimodal Vlog Dataset for Depression Detection," AAAI Conference on Artificial Intelligence (AAAI), Feb, 2022. (acceptance ratio = 1,345/9,251 = 14.5%)

• Jinyoung Han**, Seong Choi**, Ji In Park, Joon Seo Hwang, Jeong Mo Han, Hak Jun Lee, Junseo Ko, Jeewoo Yoon, Daniel Duck-Jin Hwang, "Classifying Neovascular Age-related Macular Degeneration with a Deep Convolutional Neural Network based on Optical Coherence Tomography Images", Scientific Reports 12, 2232(2022), Feb, 2022. (SCI, JCR 2021 IF = 4.996)

• Junseo Ko**, Jinyoung Han**, Jeewoo Yoon, Ji In Park, Joon Seo Hwang, Jeong Mo Han, Kyu Hyung Park, and Daniel Duck-Jin Hwang, "Assessing Central Serous Chorioretinopathy with Deep Learning and Multiple Optical Coherence Tomography Images", Scientific Reports 12, 1831(2022), Feb, 2022. (SCI, JCR 2021 IF = 4.996)

• Jeewoo Yoon**, Jinyoung Han**, Junseo Ko, Seong Choi, Ji In Park, Joon Seo Hwang, Jeong Mo Han, Kyuhwan Jang, Joonhong Sohn, Kyu Hyung Park, and Daniel Duck-Jin Hwang, "Classifying central serous chorioretinopathy subtypes with a deep neural network using optical coherence tomography images: A cross-sectional study," Scientific Reports 12, 422(2022), Jan, 2022. (SCI, JCR 2021 IF = 4.996)

• Seungbae Kim, Xiusi Chen, Jyun-Yu Jiang, Jinyoung Han*, and Wei Wang, "Evaluating Audience Loyalty and Authenticity in Influencer Marketing via Multi-task Multi-relational Learning," International AAAI Conference on Web and Social Media (ICWSM), June, 2021.

• Daniel Duck-Jin Hwang**, Seong Choi**, Junseo Ko, Jeewoo Yoon, Ji In Park, Joon Seo Hwang, Jeong Mo Han, Hak Jun Lee, Joonhong Sohn, Kyu Hyung Park, and Jinyoung Han*, "Distinguishing Retinal Angiomatous Proliferation from Polypoidal Choroidal Vasculopathy with A Deep Neural Network based on Optical Coherence Tomography," Scientific Reports 11, 9275(2021), April, 2021. (SCI, JCR 2020 IF = 4.379)

• Jeewoo Yoon**, Jinyoung Han**, Ji In Park, Joon Seo Hwang, Jeong Mo Han, Joonhong Sohn, Kyu Hyung Park, and Daniel Duck-Jin Hwang, "Optical Coherence Tomography-based Deep-learning Model for Detecting Central Serous Chorioretinopathy," Scientific Reports 10, 18852(2020), November 2020. (SCI, JCR 2020 IF = 4.379) 

• Daeun Lee, Soyoung Park, Jiwon Kang, Daejin Choi, and Jinyoung Han*, "Cross-Lingual Suicidal-Oriented Word Embedding toward Suicide Prevention," EMNLP Findings, Nov. 2020. 

• Jina Kim, Jieon Lee, Eunil Park, and Jinyoung Han*, "A Deep Learning Model for Detecting Mental Illness from User Content on Social Media," Scientific Reports 10, 11846 (2020), July 2020. (SCI, JCR 2019 IF = 4.379) 

• Seungbae Kim, Jyun-Yu Jiang, Masaki Nakada, Jinyoung Han*, and Wei Wang, "Multimodal Post Attentive Profiling for Influencer Marketing," The WEB Conference (formerly WWW), April 2020.  

• Eunil Park, Jiwon Kang, Daejin Choi, and Jinyoung Han*, "Understanding Customers' Hotel Revisiting Behaviour: A Sentiment Analysis of Online Feedback Reviews," Current Issues in Tourism, Vol. 23 No. 5, pp. 605-611, February 2020. (SSCI, JCR 2019 IF = 7.430)

• Daejin Choi, Selin Chun, Hyunchul Oh, Jinyoung Han*, and Ted “Taekyoung” Kwon, "Rumor Propagation is Amplified by Echo Chambers in Social Media," Scientific Reports 10, 310 (2020), January 2020. (SCI, JCR 2020 IF = 4.379) 

• Jinyoung Han, Daejin Choi, Taejoong Chung, Chen-Nee Chuah, Hyun-chul Kim, and Ted "Taekyoung" Kwon, "Predicting Content Consumption from Content-to-Content Relationships," Journal of Network and Computer Applications, Vol. 132, pp. 1-9, April 2019. (SCIE, JCR 2019 IF = 5.570) 

• Gregory Rehm, Jinyoung Han, Brooks Kuhn, Jean-Pierre Delplanque, Nicholas Anderson, Chen-Nee Chuah, and Jason Adams, "Creation of a Robust Machine Learning Classifier for Patient Ventilator Asynchrony," Methods of Information in Medicine, Vol. 57, Issue 4. pp. 208-219, September 2018. (SCI, JCR 2017 IF = 1.5)

• Taejoong Chung, Jinyoung Han*, Daejin Choi, Taekyoung Kwon, Jong-Youn Rha, and Hyunchul Kim, "Privacy Leakage in Event-based Social Networks: A Meetup Case Study," ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW), Jersey City, USA, November 2018. (acceptance ratio = 105/384 = 27.3%)

• MyeongCheol Kwak, Youngmong Park, Junyoung Kim, Jinyoung Han*, Taekyoung Kwon, "An Energy-efficient and Lightweight Indoor Localization System for Internet-of-things (IoT) Environments," ACM International Joint Conference on Pervasive and Ubiquitous Computing (Ubicomp), Singapore, October 2018. 

• Selin Chun, Daejin Choi, Jinyoung Han*, Huy Kang Kim, and Taekyoung Kwon, "Unveiling a Socio-Economic System in a Virtual World: A Case Study of an MMORPG," International World Wide Web Conference (WWW), Ryon, France, April 2018.

• Wenjian Hu, Krishna Kumar Singh, Fanyi Xiao, Jinyoung Han, Chen-Nee Chuah, and Yong Jae Lee, "Who Will Share My Image? Predicting the Content Diffusion Path in Online Social Networks," ACM International Conference on Web Search and Data Mining (WSDM), Los Angeles, CA, USA, February 2018. 

Code & Datasets

• Video Recommendation (ESWA 2023)

• Bipolar to Suicide (KDD 2023)

• Word-level Suicide Dictionary (CLPsych 2022)

• Depression Vlogs (AAAI 2022)

• Rumors / Fake News (ESWA 2022)

• User Tagging in Instagram (ESWA 2022)

• DCInside Scrapper for K-POP Fandoms (Quality & Quantity 2022)

• Suicide-oriented Word Embedding & Suicide Dictionary for English, Chinese, and Korean (EMNLP Findings 2020)

• VCTube (Interspeech 2020)

• Mental Health Subreddits (Scientific Reports 2020)

• Instagram Influencer Marketing (WWW 2020)

• Rumor / Fake News (Scientific Reports 2020)

• Reddit (ACM COSN 2015)

• Pinterest (ACM SIGMETRICS 2014, ACM COSN 2015)

• BitTorrent (ACM SIGMETRICS 2012)

Professional Services

• • Technical Program Committee

    • IJCAI 2022-2024

    • ACM KDD 2021-2024

    • ACM WSDM 2021-2024

    • AAAI 2021-2024

    • Interspeech 2023-2024

    • CIKM 2023

    • Neurips D&B 2022-2023

    • ECMLPKDD 2023

    • ACM International World Wide Web Conference (WWW) 2017-2018, 2024

    • International Conference on Artificial Intelligence in Information and Communication 2024

    • International Conference on Computational Data and Social Networks 2018-2023

    • International Conference on Future Internet Technologies (CFI) 2018

    • IEEE INFOCOM 2016-2017

    • IEEE International Conference on Ubiquitous Computing and Communications (IUCC) 2017 

    • International Conference on Parallel and Distributed Systems 2017

    • International Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness (Qshine) 2016

    • International Conference on Wireless Communications and Signal Processing (WCSP) 2013

    • AsiaFI Summer School 2010, 2012

  • Organizing Committee

    • Student Co-chair of AsiaFI Summer School 2010

• Technical Referee

  • European Psychiatry, IEEE Transactions on Mobile Computing, IEEE Internet of Things Journal, IEEE Transactions on Vehicular Technology, Information Science, IEEE/ACM Transactions on Networking, IEEE Internet Computing, Information Journal, IEEE Transactions on Cognitive Communications and Networking, IEEE Transactions on Multimedia, Elsevier Computer Networks, Elsevier Computer Communications, Journal of Communications and Networks, Wireless Communications and Mobile Computing

  • IEEE INFOCOM 2018, ACM INCOM 2018, ACM SAC 2016, ACM CONEXT 2014, IEEE VTC 2014, WCSP 2013, ICOIN 2013, ICTC 2012, ICN 2012, COMSNETS 2010, IEEE WCNC 2010, ICOIN 2010, IEEE ISWCS 2009, JCCI 2008

• • Technical Secretary

    • Future Internet Forum (FIF), Korea, 2010 - 2012

Teaching

• DAI5004: Advanced Machine Learning and Deep Learning (Fall 2021, Spring 2022, Spring 2023)

• DAI5016: Computational Social Science (Spring 2022)

• DAI5019: Graph Mining and Learning (Fall 2021, Fall 2022, Spring 2023)

• DIM5004: Interactive Graph Mining (Fall 2023)

• HAI5008: Human-centered Machine Learning (Fall 2021)

• HAI5005: Social Network Analysis (Spring 2021)

• DAI5005: Advanced Data Mining (Fall 2020)

• DAI5001: Introduction to Artificial Intelligence (Fall 2020, Spring 2021)

• EMBA130: Artificial Intelligence & Data Science (Spring 2023)

• AAI3005: Data Mining (Spring 2020, Spring 2021, Fall 2023)

• AAI3006: Machine Learning (Spring 2020, Spring 2021, Fall 2022, Spring 2023)

• AAI3020: Capstone Project (Fall 2023)

• AAI2011: System Programming (Spring 2020)

• AAI2005: Computer Architecture and System (Fall 2019)

• AAI2007: Introduction to Algorithm (Fall 2019)

• CSE4036: Big Data Processing (Spring 2019)

• HCI6001: Big Data Analytics (Fall 2018)

• CSE2010: Data Structures (Spring 2018, Spring 2019)

• CUL0118: Computational Thinking and Problem Solving (Fall 2017)

• CSE2016: Programming Methodology (Fall 2017-2019)

• CSE1017: Programming Fundamentals (Spring 2017)

• VCC1001: PBL and Visioning (Spring 2017-2019)