Performance Improvement Scheme of NIDS through Optimizing Intrusion Pattern Database. - Jae-Myung Kim; Kyu-Ho Lee; Jong-Seob Kim; Kuinam J. Kim (ISCIS, 2003)

A Novel Rekey Management Scheme in Digital Broadcasting Network. - Han-Seung Koo; Il-Kyoo Lee; Jae-Myung Kim; Sung-Woong Ra (APNOMS, 2006)

Implementation of Bitmap Based Incognito and Performance Evaluation. - Hyun-Ho Kang; Jae-Myung Kim; Gap-Joo Na; Sang-Won Lee 001 (DASFAA, 2007)

Research issues in next generation DBMS for mobile platforms. - Sang-Won Lee 001; Gap-Joo Na; Jae-Myung Kim; Joo-Hyung Oh; Sang-Woo Kim (Mobile HCI, 2007)

A case for flash memory ssd in enterprise database applications. - Sang-Won Lee 001; Bongki Moon; Chanik Park; Jae-Myung Kim; Sang-Woo Kim (SIGMOD Conference, 2008)

BAR: bitmap-based association rule: an implementation and its optimizations. - Sung-Tan Kim; Jae-Myung Kim; Sang-Won Lee 001 (MoMM, 2009)

Altibase DSM: CTable for pull-based processing in SPE. - Jae-Myung Kim; Vladimir Verjovkin; Sergey A. Fedorov; Younghun Kim; Dae-Il Kim; Sungjin Kim; Sang-Won Lee 001 (DEBS, 2011)

Data Dissemination Protocol Based on Home Agent and Access Node for Mobile Sink in Mobile Wireless Sensor Networks. - Joa Hyoung Lee; Jae-Myung Kim; Byung-Tae Jang; Eun-Ser Lee (ICHIT (1), 2011)

Reducing cache misses in hash join probing phase by pre-sorting strategy (abstract only). - Gi-Hwan Oh; Jae-Myung Kim; Woon-Hak Kang; Sang-Won Lee 001 (SIGMOD Conference, 2012)

Sampling-based Bayesian Inference with gradient uncertainty. - Chanwoo Park; Jae-Myung Kim; Seok Hyeon Ha; Jungwoo Lee 001 (CoRR, 2018)

REST: Performance Improvement of a Black Box Model via RL-Based Spatial Transformation. - Jae-Myung Kim; Hyungjin Kim; Chanwoo Park; Jungwoo Lee 001 (AAAI, 2020)

Exploring linearity of deep neural network trained QSM: QSMnet+. - Woojin Jung; Jaeyeon Yoon; Sooyeon Ji; Joon Yul Choi; Jae Myung Kim; Yoonho Nam; Eung-Yeop Kim; Jongho Lee 003 (NeuroImage, 2020)

Keep CALM and Improve Visual Feature Attribution. - Jae-Myung Kim; Junsuk Choe; Zeynep Akata; Seong Joon Oh (ICCV, 2021)

Large Loss Matters in Weakly Supervised Multi-Label Classification. - Youngwook Kim; Jae-Myung Kim; Zeynep Akata; Jungwoo Lee 001 (CVPR, 2022)

Bridging the Gap Between Model Explanations in Partially Annotated Multi-Label Classification. - Youngwook Kim; Jae-Myung Kim; Jieun Jeong; Cordelia Schmid; Zeynep Akata; Jungwoo Lee 001 (CVPR, 2023)

Exposing and Mitigating Spurious Correlations for Cross-Modal Retrieval. - Jae-Myung Kim; A. Sophia Koepke; Cordelia Schmid; Zeynep Akata (CVPR Workshops, 2023)

Waffling around for Performance: Visual Classification with Random Words and Broad Concepts. - Karsten Roth; Jae-Myung Kim; A. Sophia Koepke; Oriol Vinyals; Cordelia Schmid; Zeynep Akata (ICCV, 2023)

Posterior Annealing: Fast Calibrated Uncertainty for Regression. - Uddeshya Upadhyay; Jae-Myung Kim; Cordelia Schmid; Bernhard Schölkopf; Zeynep Akata (CoRR, 2023)

DataDream: Few-Shot Guided Dataset Generation. - Jae Myung Kim; Jessica Bader; Stephan Alaniz; Cordelia Schmid; Zeynep Akata (ECCV (71), 2024)

Improving Intervention Efficacy via Concept Realignment in Concept Bottleneck Models. - Nishad Singhi; Jae Myung Kim; Karsten Roth; Zeynep Akata (ECCV (26), 2024)

Stress Classification Using ECGs Based on a Multi-Dimensional Feature Fusion of LSTM and Xception. - Cheol Ho Song; Jin Su Kim; Jae Myung Kim; Sung Bum Pan (IEEE Access, 2024)

Deterministic Uncertainty Estimation for Multi-Modal Regression With Deep Neural Networks. - Jaehak Cho; Jae Myung Kim; Seungyub Han; Jungwoo Lee 001 (IEEE Access, 2025)

Does Feasibility Matter? Understanding the Impact of Feasibility on Synthetic Training Data. - Yiwen Liu; Jessica Bader; Jae Myung Kim (CoRR, 2025)

Feasibility with Language Models for Open-World Compositional Zero-Shot Learning. - Jae Myung Kim; Stephan Alaniz; Cordelia Schmid; Zeynep Akata (CoRR, 2025)

LoFT: LoRA-fused Training Dataset Generation with Few-shot Guidance. - Jae Myung Kim; Stephan Alaniz; Cordelia Schmid; Zeynep Akata (CoRR, 2025)