JOYCE JIYOUNG WHANG (황지영, 黃智營)

Assistant Professor (from March 2016 – present)Department of Computer Science and Engineering & Department of Artificial IntelligenceSungkyunkwan University (SKKU)Office: Engineering Building 2, #27326, Lab: #26315B (Big Data Lab)

E-mail: jjwhang@skku.eduWWW: http://bigdata.cs.skku.eduTel: 82-31-299-4396Date of Birth: January 11th, 1988Citizenship: U.S. Citizen

EDUCATION

Ph.D. in Computer ScienceThe University of Texas at AustinAugust 2010 – December 2015Advisor: Professor Inderjit S. DhillonDissertation: Overlapping Community Detection in Massive Social NetworksMember of Center for Big Data Analytics & Data Mining Laboratory

B.S. in Computer Science and EngineeringEwha Womans University, Seoul, KoreaMarch 2006 – February 2010Summa Cum LaudeG.P.A. 4.30/4.3

RESEARCH INTERESTS

Big Data, Data Mining, Graph Mining, Machine Learning, Social Network Analysis,Data Science, Web Mining, Bioinformatics.

CONFERENCE PUBLICATIONS

1. Joyce Jiyoung Whang, Rundong Du, Sangwon Jung, Geon Lee, Barry Drake,Qingqing Liu, Seonggoo Kang, and Haesun Park, “MEGA: Multi-View Semi-SupervisedClustering of Hypergraphs”, To appear in Proceedings of the 46th International Con-ference on Very Large Data Bases (PVLDB), August 2020.(regular research paper)

2. Geon Lee, Seonggoo Kang, and Joyce Jiyoung Whang*, “Hyperlink Classificationvia Structured Graph Embedding”, Proceedings of the 42nd International ACM SIGIRConference on Research and Development in Information Retrieval (SIGIR), pages1017–1020, July 2019. (* corresponding author)Acceptance rate: 24.4% (short paper)

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3. Joyce Jiyoung Whang* and Inderjit S. Dhillon, “Non-Exhaustive, Overlapping Co-Clustering”, Proceedings of the 26th ACM Conference on Information and KnowledgeManagement (CIKM), pages 2367–2370, November 2017. (* corresponding author)Acceptance rate: 29.9% (short paper)

4. Joyce Jiyoung Whang, “An Empirical Study of Community Overlap: Ground-truth, Algorithmic Solutions, and Implications”, Proceedings of the 26th ACM Confer-ence on Information and Knowledge Management (CIKM), pages 2363–2366, Novem-ber 2017.Acceptance rate: 29.9% (short paper)

5. Yangyang Hou, Joyce Jiyoung Whang, David F. Gleich, and Inderjit S. Dhillon,“Fast Multiplier Methods to Optimize Non-exhaustive, Overlapping Clustering”, Pro-ceedings of the 16th SIAM International Conference on Data Mining (SDM), pages297–305, May 2016.Acceptance rate: 25.9% (long paper)

6. Yangyang Hou‡, Joyce Jiyoung Whang‡, David F. Gleich, and Inderjit S. Dhillon,“Non-exhaustive, Overlapping Clustering via Low-Rank Semidefinite Programming”,Proceedings of the 21st ACM SIGKDD Conference on Knowledge Discovery and DataMining (KDD), pages 427–436, August 2015.‡ authors in alphabetical order with equal contributionAcceptance rate: 19.4% (long paper)

7. Joyce Jiyoung Whang, Andrew Lenharth, Inderjit S. Dhillon, and Keshav Pingali,“Scalable Data-driven PageRank: Algorithms, System Issues, and Lessons Learned”,Proceedings of the 21th International European Conference on Parallel and DistributedComputing (Euro-Par), pages 438–450, August 2015.Acceptance rate: 27.0% (long paper)

8. Joyce Jiyoung Whang, Inderjit S. Dhillon, and David F. Gleich, “Non-exhaustive,Overlapping k-means”, Proceedings of the 15th SIAM International Conference onData Mining (SDM), pages 936–944, April 2015.Acceptance rate: 22.0% (long paper)

9. Joyce Jiyoung Whang, Piyush Rai, and Inderjit S. Dhillon, “Stochastic Block-model with Cluster Overlap, Relevance Selection, and Similarity-Based Smoothing”,Proceedings of the 13th IEEE International Conference on Data Mining (ICDM),pages 817–826, December 2013.Acceptance rate: 11.6% (long paper)

10. Joyce Jiyoung Whang, David F. Gleich, and Inderjit S. Dhillon, “OverlappingCommunity Detection Using Seed Set Expansion”, Proceedings of the 22nd ACMConference on Information and Knowledge Management (CIKM), pages 2099–2108,October 2013.Acceptance rate: 16.8% (long paper)

11. Joyce Jiyoung Whang, Xin Sui, and Inderjit S. Dhillon, “Scalable and Memory-Efficient Clustering of Large-Scale Social Networks”, Proceedings of the 12th IEEEInternational Conference on Data Mining (ICDM), pages 705–714, December 2012.Acceptance rate: 10.7% (long paper)

12. Kai-Yang Chiang, Joyce Jiyoung Whang, and Inderjit S. Dhillon, “Scalable Clus-tering of Signed Networks Using Balance Normalized Cut”, Proceedings of the 21st

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ACM Conference on Information and Knowledge Management (CIKM), pages 615–624, October 2012.Acceptance rate: 13.4% (long paper)

13. Xin Sui, Tsung-Hsien Lee, Joyce Jiyoung Whang, Berkant Savas, Saral Jain, Ke-shav Pingali, and Inderjit S. Dhillon, “Parallel Clustered Low-rank Approximation ofGraphs and Its Application to Link Prediction”, Proceedings of the 25th InternationalWorkshop on Languages and Compilers for Parallel Computing (LCPC), pages 76–95,September 2012.Acceptance rate: 41.0% (long paper)

14. Myungha Jang, Arang Rhie, Jiyoung Whang, Sanduk Yang, and Hyun S. Park,“A Statistical Analysis of Relation Degree of Compound Pair on Online BiologicalPathway Databases”, Proceedings of the 3rd International Conference on UbiquitousInformation Management and Communication (ICUIMC), pages 644–649, January2009.

JOURNAL PUBLICATIONS

1. Joyce Jiyoung Whang*‡, Yangyang Hou‡, David F. Gleich, and Inderjit S. Dhillon,“Non-exhaustive, Overlapping Clustering”, IEEE Transactions on Pattern Analysisand Machine Intelligence (TPAMI), Vol. 41, No. 11, pages 2644–2659, November 2019.(SCI Journal)∗ corresponding author, ‡ equal contribution

2. Namhyun Kim, Junseong Lee, Joyce Jiyoung Whang, and Jinkyu Lee, “SmartGrip:Grip Sensing System for Commodity Mobile Devices through Sound Signals”, Toappear in Personal and Ubiquitous Computing, 2019. (SCIE Journal)

3. Seungtaek Song, Namhyun Kim, Sungkil Lee, Joyce Jiyoung Whang, and JinkyuLee, “Design and Feasibility Study: Customized Virtual Buttons for Electronic MobileDevices”, IEICE Transactions on Fundamentals of Electronics, Communications andComputer Sciences, vol. E102-A, No.4, pages 668–671, April 2019. (SCIE Journal)

4. Joyce Jiyoung Whang* and Yunseob Shin, “Localized Ranking in Social and In-formation Networks”, IEICE Transactions on Information and Systems, vol. E101-D,No.2, pages 547–551, February 2018. (SCIE Journal)∗ corresponding author

5. Joyce Jiyoung Whang, David F. Gleich, and Inderjit S. Dhillon, “OverlappingCommunity Detection Using Neighborhood-Inflated Seed Expansion”, IEEE Trans-actions on Knowledge and Data Engineering (TKDE), vol. 28:5, pages 1272–1284,May 2016. (SCI Journal)

6. Joyce Jiyoung Whang, Uran Oh, Aeyoung Kim, and Sang-Ho Lee, “Privacy-Preserving Protocols for Finding the Similarity between Two DNA Sequences witha Blind Third Party”, Journal of Convergence Information Technology (JCIT), vol.6:10, pages 33–40, October 2011.

7. Myungha Jang, Jiyoung Whang, Coleen S. Lewis, and Hyun S. Park, “An Inter-pretation of Biological Metabolites and their Reactions Based on Relation Degree ofCompound Pairs in KEGG XML Files”, Journal of Software, vol. 5:2, pages 187–194,February 2010.

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8. Eunji Lee, Jiyoung Whang, Uran Oh, Kern Koh, and Hyokyung Bahn, “PopularChannel Concentration Schemes for Efficient Channel Navigation in Internet ProtocolTelevisions”, IEEE Transactions on Consumer Electronics, vol. 5:4, pages 1945–1949,October 2009 (SCI Journal).

9. Sung-Hui Kang, Myung-Ha Jang, Jiyoung Whang, and Hyun-Seok Park, “ParsingKEGG XML Files to Find Shared and Duplicate Compounds Contained in MetabolicPathway Maps: A Graph-Theoretical Perspective”,Genomics & Informatics, vol. 6:3,pages 147–152, September 2008.

WORKSHOP PAPERS

1. Joyce Jiyoung Whang*, Yeonsung Jung, Inderjit S. Dhillon, Seonggoo Kang, andJungmin Lee, “Fast Asynchronous Anti-TrustRank for Web Spam Detection”, The11th ACM International Conference on Web Search and Data Mining (WSDM) Work-shop on MIS2: Misinformation and Misbehavior Mining on the Web, February 2018.(∗ corresponding author)

TEACHING EXPERIENCE

• Fall 2019: Advanced Big Data Analytics (graduate course)

• Spring 2019: Introduction to Big Data Analytics

• Spring 2017 & Spring 2018: Big Data Analytics (graduate course)

• Fall 2016, Spring 2017, Fall 2017, Spring 2018, Fall 2018, Spring 2019 &Fall 2019: Basis and Practice in Programming

• Fall 2018: Database Project

• Fall 2017: Special Topics in Software

• Spring 2016 & Fall 2016: Basic Programming Languages

• Spring 2016: Introduction to Computer Engineering

INVITED LECTURES

• Introduction to Data Science, Samsung Electronics, July 17–19 & August 19–27, 2019.

PROFESSIONAL SERVICES

• Program Committee for The Web Conference (WWW), AAAI Conference on Arti-ficial Intelligence (AAAI), International Conference on Machine Learning (ICML),IEEE International Conference on Data Mining (ICDM), Pacific-Asia Conferenceon Knowledge Discovery and Data Mining (PAKDD), International Conference onDatabase Systems for Advanced Applications (DASFAA), ACM Symposium on Ap-plied Computing (SAC), Korean Database Conference (KDBC).

• Reviewer for Conference on Neural Information Processing Systems (NeurIPS), IEEETransactions on Pattern Analysis and Machine Intelligence (TPAMI), IEEE Trans-actions on Knowledge and Data Engineering (TKDE), Journal of Machine Learning

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Research (JMLR), ACM Computing Surveys, Data Mining and Knowledge Discov-ery, Artificial Intelligence, ACM Computing Surveys (CSUR), IEEE Transactions onCybernetics, PLOS ONE, Journal of the Association for Information Science andTechnology (JASIST), Journal of Experimental & Theoretical Artificial Intelligence,KSII Transactions on Internet and Information Systems, Journal of Information Sci-ence, IEEE Transactions on Emerging Topics in Computing (TETC), World WideWeb: Internet and Web Information Systems.

• 한국정보과학회 데이터베이스 소사이어티 이사, 2017/09/01–현재.

• 한국정보과학회 여성위원회 위원, 2018/03/01–현재.

• 한국여성정보인협회 이사, 2019/01/01–현재.

• 한국여성과학기술단체총연합회 대의원, 2019/01/01–현재.

SELECTED HONORS & AWARDS

• National Science Foundation (NSF) Graduate Research Fellowship Program Honor-able Mention, 2012.

• Dean’s Excellence Award from the College of Natural Sciences, The University ofTexas at Austin, 2010.

• The Special Prize of the University President, Ewha Womans University, 2010.

• National Science & Technology Scholarship, Korea Student Aid Foundation, Fall 2008.

• Honor Scholarship, Ewha Womans University, Fall 2006 – Fall 2009.

INVITED TALKS

• “Graph Mining and Network Analysis”, NAVER, December 2019.

• “Non-Exhaustive, Overlapping Clustering of Hypergraphs”, NAVER AI Colloquium,April 2019.

• “Overlapping Community Detection in Massive Social Networks”, KAIST, February2019 & October 2018.

• “Sensor-based Semiconductor Chip Data Analysis via Novelty Detection”, SamsungElectronics Tech Day, November 2018.

• “Fast Asynchronous Anti-TrustRank for Web Spam Detection”, NAVER AI Collo-quium, March 2018.

• “Scalable Data-driven PageRank and Non-exhaustive, Overlapping Co-clustering”,Purdue University, August 2017.

• “Overlapping Community Detection in Massive Social Networks”, POSTECH, March2016.

• “Non-exhaustive, Overlapping Clustering via Low-Rank Semidefinite Programming”,ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), Syd-ney, Australia, August 2015.

• “Non-exhaustive, Overlapping k-means”, SIAM International Conference on DataMining (SDM), Vancouver, British Columbia, Canada, April 2015.

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• “Stochastic Blockmodel with Cluster Overlap, Relevance Selection, and Similarity-Based Smoothing”, IEEE International Conference on Data Mining (ICDM), Dallas,Texas, USA, December 2013.

• “Overlapping Community Detection Using Seed Set Expansion”, ACM Conferenceon Information and Knowledge Management (CIKM), Burlingame, California, USA,October 2013.

• “Scalable and Memory-Efficient Clustering of Large-Scale Social Networks”, IEEE In-ternational Conference on Data Mining (ICDM), Brussels, Belgium, December 2012.

• “Scalable Clustering of Signed Networks Using Balance Normalized Cut”, ACM Con-ference on Information and Knowledge Management (CIKM), Maui Hawaii, USA,October 2012.

SELECTED GRANTS

• “다각적 데이터 융합을 통한 그래프기반 준지도 학습 (Semi-Supervised Multi-ViewLearning with Graphs)”, 과학기술정보통신부-한국연구재단 (National Research Foun-dation of Korea), 연구 책임자 (Principal Investigator), 2019/03/01–2022/2/28.

• “그래프 구조 분석을 이용한 검색엔진 성능 향상 연구 (Improving Performances of aSearch Engine by Analyzing the Structure of Real-World Web Graphs)”, NAVER,연구 책임자 (Principal Investigator), 2017/05/01–2019/05/31.

• “거대소셜네트워크의클러스터링구조를활용한정보전파매커니즘모델링 (ModelingInformation Propagation by Exploiting the Clustering Structure of Massive SocialNetworks)”, 교육부-한국연구재단 (National Research Foundation of Korea), 연구 책임자 (Principal Investigator), 2016/11/01–2019/10/31.

• “IPTV 시청 패턴 마이닝을 통한 사용자 모델링 (User Modeling and Classificationon IPTV by Pattern Mining)”, SK Broadband, 연구 책임자 (Principal Investigator),2016/03/01–2019/12/31.

• “MARS 인공지능 통합연구센터 (MARS Artificial Intelligence Integrated ResearchCenter)” at KAIST, 과학기술정보통신부-한국연구재단 (National Research Founda-tion of Korea), 2018/08/01–2024/02/28.

• “TP 센터 Chip Damage 검출 모델링 (Data-driven Semiconductor Chip Damage De-tection)”, Samsung Electronics, 2018/01/01–2018/08/31.

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