Achieving Scalable Parallel Molecular Dynamics Using Dynamic Spatial Domain Decomposition Techniques. - Lars S. Nyland; Jan F. Prins; Ru Huai Yun; Jan Hermans; Hye-Chung Kum; Lei Wang (J. Parallel Distributed Comput., 1997)

Modeling Dynamic Load Balancing in Molecular Dynamics to Achieve Scalable Parallel Execution. - Lars S. Nyland; Jan F. Prins; Ru Huai Yun; Jan Hermans; Hye-Chung Kum; Lei Wang (IRREGULAR, 1998)

Supporting real-time collaboration over wide area networks. - Hye-Chung Kum; Prasun Dewan (CSCW, 2000)

Management Assistance for Work First via a Dynamic Website. - Hye-Chung (Monica) Kum; Dean Duncan; Kimberly Flair; Wei Wang 010 (DG.O, 2003)

Social Welfare Program Administration and Evaluation and Policy Analysis Using Knowledge Discovery and Data Mining (KDD) on Administrative Data. - Hye-Chung (Monica) Kum; Dean Duncan; Kimberly Flair; Wei Wang 010 (DG.O, 2003)

ApproxMAP: Approximate Mining of Consensus Sequential Patterns. - Hye-Chung Kum; Jian Pei 001; Wei Wang 010; Dean Duncan (SDM, 2003)

Adopting IT for Effective Management of Social Welfare Programs. - Dean Duncan; Hye-Chung Kum; Kimberly Flair; Wei Wang 010 (DG.O, 2004)

Successfully Adopting IT for Social Welfare Program Management. - Dean Duncan; Hye-Chung Kum; Kimberly Flair; Wei Wang 010 (DG.O, 2004)

Understanding Social Welfare Service Patterns Using Sequential Analysis. - Hye-Chung Kum; Dean Duncan; Wei Wang 010 (DG.O, 2004)

Comparative Study of Sequential Pattern Mining Models. - Hye-Chung (Monica) Kum; Susan Paulsen; Wei Wang 010 (Foundations of Data Mining and knowledge Discovery, 2005)

Sequential Pattern Mining in Multi-Databases via Multiple Alignment. - Hye-Chung Kum; Joong Hyuk Chang; Wei Wang 010 (Data Min. Knowl. Discov., 2006)

Intelligent Sequential Mining Via Alignment: Optimization Techniques for Very Large DB. - Hye-Chung Kum; Joong Hyuk Chang; Wei Wang 010 (PAKDD, 2007)

Benchmarking the effectiveness of sequential pattern mining methods. - Hye-Chung Kum; Joong Hyuk Chang; Wei Wang 010 (Data Knowl. Eng., 2007)

A dynamic website for county level child welfare outcome measures. - Hye-Chung Kum; Dean Duncan; Kimberly Flair (DG.O, 2008)

Supporting self-evaluation in local government via KDD. - Hye-Chung Kum; Dean Duncan; C. Joy Stewart (DG.O, 2008)

Supporting self-evaluation in local government via Knowledge Discovery and Data mining. - Hye-Chung Kum; Dean F. Duncan; C. Joy Stewart (Gov. Inf. Q., 2009)

Frequency-based load shedding over a data stream of tuples. - Joong Hyuk Chang; Hye-Chung (Monica) Kum (Inf. Sci., 2009)

Measuring Opinion Relevance in Latent Topic Space. - Wei Cheng 002; Xiaochuan Ni 001; Jian-Tao Sun; Xiaoming Jin; Hye-Chung Kum; Xiang Zhang 001; Wei Wang 010 (SocialCom/PASSAT, 2011)

Decoupled Data for Privacy Preserving Record Linkage with Error Management. - Hye-Chung Kum; Stanley C. Ahalt (SocialCom/PASSAT, 2011)

Protecting Personal Information with Secure Execution Technology. - Ren Bauer; Hye-Chung Kum; Michael C. Reiter (AMIA, 2013)

Secure Decoupled Linkage (SDLink) system for building a social genome. - Hye-Chung Kum; Ashok Kumar Krishnamurthy 001; Darshana Pathak; Michael K. Reiter; Stanley C. Ahalt (IEEE BigData, 2013)

Sociometric Methods for Relevancy Analysis of Long Tail Science Data. - Arcot Rajasekar; Sharlini Sankaran; Howard Lander; Thomas M. Carsey; Jonathan David Crabtree; Hye-Chung Kum; Mercè Crosas; Gary King; Justin Zhan (SocialCom, 2013)

Social Genome: Putting Big Data to Work for Population Informatics. - Hye-Chung Kum; Ashok Kumar Krishnamurthy 001; Ashwin Machanavajjhala; Stanley C. Ahalt (Computer, 2014)

Privacy preserving interactive record linkage (PPIRL). - Hye-Chung Kum; Ashok K. Krishnamurthy 001; Ashwin Machanavajjhala; Michael K. Reiter; Stanley C. Ahalt (J. Am. Medical Informatics Assoc., 2014)

The Design of a Patient-Centered Personal Health Record with Patients as Co-Designers. - Arlene Chung; Haiwei Chen; Grace Shin; Ketan K. Mane; Hye-Chung Kum (AMIA, 2016)

Balancing Privacy and Information Disclosure in Interactive Record Linkage with Visual Masking. - Eric D. Ragan; Hye-Chung Kum; Gurudev Ilangovan; Han Wang (CHI, 2018)

Increasing Transparent and Accountable Use of Data by Quantifying the Actual Privacy Risk in Interactive Record Linkage. - Qinbo Li; Adam G. D'Souza; Mahin Ramezani; Cason Schmit; Hye-Chung Kum (AMIA, 2019)

A Case Study of Remote Monitoring Processes in Texas. - Sulki Park; Hye-Chung Kum; Mark Lawley (AMIA, 2019)

Enhancing Privacy through an Interactive On-demand Incremental Information Disclosure Interface: Applying Privacy-by-Design to Record Linkage. - Hye-Chung Kum; Eric D. Ragan; Gurudev Ilangovan; Mahin Ramezani; Qinbo Li; Cason Schmit (SOUPS @ USENIX Security Symposium, 2019)

Increasing Transparent and Accountable Use of Data by Quantifying the Actual Privacy Risk in Interactive Record Linkage. - Qinbo Li; Adam G. D'Souza; Cason Schmit; Hye-Chung Kum (CoRR, 2019)

Patient perspectives on the linkage of health data for research: Insights from an online patient community questionnaire. - Emily C. O'Brien; Ana María Rodríguez; Hye-Chung Kum; Laura E. Schanberg; Marcy Fitz-Randolph; Sean M. O'Brien; Soko Setoguchi (Int. J. Medical Informatics, 2019)

Post-acute care referral in United States of America: a multiregional study of factors associated with referral destination in a cohort of patients with coronary artery bypass graft or valve replacement. - Ineen Sultana; Madhav Erraguntla; Hye-Chung Kum; Dursun Delen; Mark Lawley (BMC Medical Informatics Decis. Mak., 2019)

Corrigendum to "Patient perspectives on the linkage of health data for research: Insights from an online patient community questionnaire" [Int. J. Med. Inform. 127 (2019) 9-17]. - Emily C. O'Brien; Ana María Rodríguez; Hye-Chung Kum; Laura E. Schanberg; Marcy Fitz-Randolph; Sean M. O'Brien; Soko Setoguchi (Int. J. Medical Informatics, 2020)

Evaluation of Machine Learning Algorithms in a Human-Computer Hybrid Record Linkage System. - Mahin Ramezani; Guru Ilangovan; Hye-Chung Kum (AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering, 2021)

Systematic Study of Publicly Available Resources Addressing Legal Data Sharing Issues. - Mohammad Karim; Hye-Chung Kum; Cason D. Schmit (AMIA, 2021)

VIEW: a framework for organization level interactive record linkage to support reproducible data science. - Mohammad Karim; Mahin Ramezani; Tenaya Sunbury; Robert Ohsfeldt; Hye-Chung Kum (CoRR, 2021)

Identifying and prioritizing benefits and risks of using privacy-enhancing software through participatory design: a nominal group technique study with patients living with chronic conditions. - Theodoros V. Giannouchos; Alva O. Ferdinand; Gurudev Ilangovan; Eric D. Ragan; William Benjamin Nowell; Hye-Chung Kum; Cason D. Schmit (J. Am. Medical Informatics Assoc., 2021)

Adherence to home telemonitoring and its effects on blood glucose control for diabetes in the real-world setting. - Sulki Park; Hye-Chung Kum; Mark Lawley (AMIA, 2022)

A Systematic Review of Patient-Perceived Barriers and Facilitators to the Adoption and Use of Remote Health Technology in Underserved Populations. - Nikita Sandeep Wagle; Jordan Schueler; Solangia Engler; Sherecce Fields; Hye-Chung Kum (AMIA, 2022)

Earlier identification of hypertensive events in a telemonitoring system. - Edmund Do; Suhrit Lavu; Hye-Chung Kum; Bobak J. Mortazavi (BSN, 2023)