Enabling accessible interfaces to digital library content. - Syed Toufeeq Ahmed; K. Selçuk Candan; Suganthi Cidambaram; Shruti Gaur; Jong Wook Kim; Mijung Kim; Hari Sundaram; Xinxin Wang; Renwei Yu (ICME, 2009)

Fault localization and repair for Java runtime exceptions. - Saurabh Sinha; Hina Shah; Carsten Görg; Shujuan Jiang; Mijung Kim; Mary Jean Harrold (ISSTA, 2009)

Reproducible gene selection algorithm with random effect model in cDNA microarray-based CGH data. - Mijung Kim (Expert Syst. Appl., 2009)

Two-stage logistic regression model. - Mijung Kim (Expert Syst. Appl., 2009)

Automated Bug Neighborhood Analysis for Identifying Incomplete Bug Fixes. - Mijung Kim; Saurabh Sinha; Carsten Görg; Hina Shah; Mary Jean Harrold; Mangala Gowri Nanda (ICST, 2010)

Approximate tensor decomposition within a tensor-relational algebraic framework. - Mijung Kim; Kasim Selçuk Candan (CIKM, 2011)

Two-stage multinomial logit model. - Jin-Hyung Kim; Mijung Kim (Expert Syst. Appl., 2011)

Systematic Modeling, Testing, and Monitoring of Information Integrity in Federated Ontology-driven Data Sources. - Mijung Kim; Jake Cobb; Tahsin M. Kurç; Alessandro Orso; Mary Jean Harrold; Andrew R. Post; Shamkant B. Navathe; Joel H. Saltz (AMIA, 2012)

Decomposition-by-normalization (DBN): leveraging approximate functional dependencies for efficient tensor decomposition. - Mijung Kim; K. Selçuk Candan (CIKM, 2012)

Efficient regression testing of ontology-driven systems. - Mijung Kim; Jake Cobb; Mary Jean Harrold; Tahsin M. Kurç; Alessandro Orso; Joel H. Saltz; Andrew R. Post; Kunal Malhotra; Shamkant B. Navathe (ISSTA, 2012)

SBV-Cut: Vertex-cut based graph partitioning using structural balance vertices. - Mijung Kim; K. Selçuk Candan (Data Knowl. Eng., 2012)

Social networking and adjustments among international students. - Jih-Hsuan Lin; Wei Peng 002; Mijung Kim; Sung Yeun Kim; Robert LaRose (New Media Soc., 2012)

Efficient Static and Dynamic In-Database Tensor Decompositions on Chunk-Based Array Stores. - Mijung Kim; K. Selçuk Candan (CIKM, 2014)

TensorDB: In-Database Tensor Manipulation with Tensor-Relational Query Plans. - Mijung Kim; K. Selçuk Candan (CIKM, 2014)

Pushing-Down Tensor Decompositions over Unions to Promote Reuse of Materialized Decompositions. - Mijung Kim; K. Selçuk Candan (ECML/PKDD (1), 2014)

Palette: enabling scalable analytics for big-memory, multicore machines. - Fei Chen; Tere Gonzalez; Jun Li 008; Manish Marwah; Jim Pruyne; Krishnamurthy Viswanathan; Mijung Kim (SIGMOD Conference, 2014)

TensorDB and Tensor-Relational Model (TRM) for Efficient Tensor-Relational Operations. - Mijung Kim (2014)

REMI: defect prediction for efficient API testing. - Mijung Kim; Jaechang Nam; Jaehyuk Yeon; Soonhwang Choi; Sunghun Kim 001 (ESEC/SIGSOFT FSE, 2015)

Decomposition-by-normalization (DBN): leveraging approximate functional dependencies for efficient CP and tucker decompositions. - Mijung Kim; K. Selçuk Candan (Data Min. Knowl. Discov., 2016)

Interpretable convolutional neural networks for effective translation initiation site prediction. - Jasper Zuallaert; Mijung Kim; Yvan Saeys; Wesley De Neve (BIBM, 2017)

Sandpiper: Scaling probabilistic inferencing to large scale graphical models. - Alexander Ulanov; Manish Marwah; Mijung Kim; Roshan Dathathri; Carlos Zubieta; Jun Li 008 (IEEE BigData, 2017)

Sparkle: optimizing spark for large memory machines and analytics. - Mijung Kim; Jun Li 008; Haris Volos 001; Manish Marwah; Alexander Ulanov; Kimberly Keeton; Joseph A. Tucek; Lucy Cherkasova; Le Xu; Pradeep Fernando (SoCC, 2017)

Few-shot Learning Using a Small-Sized Dataset of High-Resolution FUNDUS Images for Glaucoma Diagnosis. - Mijung Kim; Jasper Zuallaert; Wesley De Neve (MMHealth@MM, 2017)

A comparison of Facebook, Twitter, and LinkedIn: Examining motivations and network externalities for the use of social networking sites. - Mijung Kim; Jiyoung Cha (First Monday, 2017)

Computer-Aided Diagnosis and Localization of Glaucoma Using Deep Learning. - Mijung Kim; Ho-min Park; Jasper Zuallaert; Olivier Janssens; Sofie Van Hoecke; Wesley De Neve (BIBM, 2018)

Which generated test failures are fault revealing? prioritizing failures based on inferred precondition violations using PAF. - Mijung Kim; Shing-Chi Cheung; Sunghun Kim 001 (ESEC/SIGSOFT FSE, 2018)

SpliceRover: interpretable convolutional neural networks for improved splice site prediction. - Jasper Zuallaert; Fréderic Godin; Mijung Kim; Arne Soete; Yvan Saeys; Wesley De Neve (Bioinform., 2018)

Web Applicable Computer-aided Diagnosis of Glaucoma Using Deep Learning. - Mijung Kim; Olivier Janssens; Ho-min Park; Jasper Zuallaert; Sofie Van Hoecke; Wesley De Neve (CoRR, 2018)

TISRover: ConvNets learn biologically relevant features for effective translation initiation site prediction. - Jasper Zuallaert; Mijung Kim; Arne Soete; Yvan Saeys; Wesley De Neve (Int. J. Data Min. Bioinform., 2018)

Design of a Low-Power BLE5-Based Wearable Device for Tracking Movements of Football Players. - Hyunsung Kim 003; Juin Lim; Wonbin Hong; Joonho Park; Young-Seok Kim; Mijung Kim; Youngjoo Lee (ISOCC, 2019)

'A Wisdom of Crowds': Social Media Mining for Soccer Match Analysis. - Young-Seok Kim; Mijung Kim (IEEE Access, 2019)

MRI-based Diagnosis of Rotator Cuff Tears using Deep Learning and Weighted Linear Combinations. - Mijung Kim; Ho-min Park; Jae Yoon Kim; Seong Hwan Kim 002; Sofie Hoeke; Wesley De Neve (MLHC, 2020)

Energy-Efficient Wearable EPTS Device Using On-Device DCNN Processing for Football Activity Classification. - Hyunsung Kim 003; Jaehee Kim; Young-Seok Kim; Mijung Kim; Youngjoo Lee (Sensors, 2020)

Ultra-Low Power Wearable Infant Sleep Position Sensor. - Inyeol Yun; Jinpyeo Jeung; Mijung Kim; Young-Seok Kim; Yoonyoung Chung (Sensors, 2020)

Energy-Efficient Intelligent EPTS Device using Novel DCNN-Based Dynamic Sensor Activation. - Hyunsung Kim 003; Jaehee Kim; Young-Seok Kim; Mijung Kim; Youngjoo Lee (AICAS, 2021)

Novel Natural Language Summarization of Program Code via Leveraging Multiple Input Representations. - Fuxiang Chen; Mijung Kim; Jaegul Choo (EMNLP (Findings), 2021)

DEVIATE: A Deep Learning Variance Testing Framework. - Hung Viet Pham; Mijung Kim; Lin Tan 001; Yaoliang Yu; Nachiappan Nagappan (ASE, 2021)

Low-Cost Network Scheduling of 3D-CNN Processing for Embedded Action Recognition. - Hyunhoon Lee; Young-Seok Kim; Mijung Kim; Youngjoo Lee (IEEE Access, 2021)

Leveraging Documentation to Test Deep Learning Library Functions. - Danning Xie; Yitong Li; Mijung Kim; Hung Viet Pham; Lin Tan 001; Xiangyu Zhang 001; Michael W. Godfrey (CoRR, 2021)

DocTer: documentation-guided fuzzing for testing deep learning API functions. - Danning Xie; Yitong Li; Mijung Kim; Hung Viet Pham; Lin Tan 001; Xiangyu Zhang 001; Michael W. Godfrey (ISSTA, 2022)

A 14-nm Low Voltage SRAM with Charge-Recycling and Charge Self-Saving Techniques for Low-Power Applications. - Keonhee Cho; Giseok Kim; Ji Sang Oh; Ki-Ryong Kim; Changsu Sim; Younmee Bae; Mijung Kim; Sangyeop Baeck; Taejoong Song; Seong-Ook Jung (VLSI Technology and Circuits, 2022)

Effect of a Wireless Vital Sign Monitoring System on the Rapid Response System in the General Ward. - Won Ho Han; Dae Kyung Sohn; Yul Hwangbo; Hee Jung Park; Mijung Kim; Yoona Choi; Il Won Shin; Jung Min Lee; Heungki Jeon; Ki Chung Ryu; Tae-Sik Yoon; Jee Hee Kim (J. Medical Syst., 2022)

Age Prediction From Face Images Via Contrastive Learning. - Yeongnam Chae; Poulami Raha; Mijung Kim; Björn Stenger (MVA, 2023)

A Static Contention-Free Dual-Edge-Triggered Flip-Flop with Redundant Internal Node Transition Elimination for Ultra-Low-Power Applications. - Sekeon Kim; Keonhee Cho; Kyeongrim Baek; Hyunjun Kim; Younmee Bae; Mijung Kim; Dongwook Seo; Sangyeop Baeck; Sungjae Lee; Seong-Ook Jung (VLSI Technology and Circuits, 2023)

Multi-scale Cell-based Layout Representation for Document Understanding. - Yuzhi Shi; Mijung Kim; Yeongnam Chae (WACV, 2023)

Impact of Large Language Models on Generating Software Specifications. - Danning Xie; Byungwoo Yoo; Nan Jiang 012; Mijung Kim; Lin Tan 001; Xiangyu Zhang 001; Judy S. Lee (CoRR, 2023)

Linearly Controllable GAN: Unsupervised Feature Categorization and Decomposition for Image Generation and Manipulation. - Sehyung Lee; Mijung Kim; Yeongnam Chae; Björn Stenger (ECCV (4), 2024)

Constrained Sorter Design using Zero-One Principle. - Sangil Han; Jaehee Kim; Dongyun Kam; Byeong Yong Kong; Mijung Kim; Young-Seok Kim; Youngjoo Lee (ISCAS, 2024)

Testing Diverse Geographical Features of Autonomous Driving Systems. - Seongdeok Seo; Judy S. Lee; Mijung Kim (ISSRE, 2024)

Studying Versioning in Stack Overflow. - Yiyun Chen; Fuxiang Chen; Mijung Kim; Fatemeh H. Fard (ASE, 2024)

Lightweight Concolic Testing via Path-Condition Synthesis for Deep Learning Libraries. - Sehoon Kim; Yonghyeon Kim; Dahyeon Park; Yuseok Jeon; Jooyong Yi; Mijung Kim (ICSE, 2025)

How Effective are Large Language Models in Generating Software Specifications? - Danning Xie; Byoung-Joo Yoo; Nan Jiang 012; Mijung Kim; Lin Tan 001; Xiangyu Zhang 001; Judy S. Lee (SANER, 2025)

CMASan: Custom Memory Allocator-aware Address Sanitizer. - Junwha Hong; Wonil Jang; Mijung Kim; Lei Yu; Yonghwi Kwon 001; Yuseok Jeon (SP, 2025)

Hallucination by Code Generation LLMs: Taxonomy, Benchmarks, Mitigation, and Challenges. - Yunseo Lee; John Youngeun Song; Dongsun Kim; Jindae Kim 001; Mijung Kim; Jaechang Nam (CoRR, 2025)