Sweep-based human deformation. - Dae-Eun Hyun; Seung-Hyun Yoon; Jung-Woo Chang; Joon-Kyung Seong; Myung-Soo Kim; Bert Jüttler (Vis. Comput., 2005)

Efficient Collision Detection Using a Dual Bounding Volume Hierarchy. - Jung-Woo Chang; Wenping Wang; Myung-Soo Kim (GMP, 2008)

Efficient triangle-triangle intersection test for OBB-based collision detection. - Jung-Woo Chang; Myung-Soo Kim (Comput. Graph., 2009)

Linkless Octree Using Multi-Level Perfect Hashing. - Myung Geol Choi; Eunjung Ju; Jung-Woo Chang; Jehee Lee; Young J. Kim (Comput. Graph. Forum, 2009)

Continuous Collision Detection for Ellipsoids. - Yi-King Choi; Jung-Woo Chang; Wenping Wang; Myung-Soo Kim; Gershon Elber (IEEE Trans. Vis. Comput. Graph., 2009)

Efficient collision detection using a dual OBB-sphere bounding volume hierarchy. - Jung-Woo Chang; Wenping Wang; Myung-Soo Kim (Comput. Aided Des., 2010)

Computation of the minimum distance between two Bézier curves/surfaces. - Jung-Woo Chang; Yi-King Choi; Myung-Soo Kim; Wenping Wang (Comput. Graph., 2011)

Real-time temporal quality compensation technique for head mounted displays. - Jung-Woo Chang; Suk-Ju Kang; Min-Woo Seo; Song-Woo Choi; Sang-Lyn Lee; Ho-Chul Lee; Eui Yeol Oh; Jong-Sang Baek (SIGGRAPH ASIA (Posters), 2017)

Optimizing FPGA-based convolutional neural networks accelerator for image super-resolution. - Jung-Woo Chang; Suk-Ju Kang (ASP-DAC, 2018)

On-Chip CNN Accelerator for Image Super-Resolution. - Jung-Woo Chang; Suk-Ju Kang (CoRR, 2018)

SDCNN: An Efficient Sparse Deconvolutional Neural Network Accelerator on FPGA. - Jung-Woo Chang; Keon-Woo Kang; Suk-Ju Kang (DATE, 2019)

Towards Design Methodology of Efficient Fast Algorithms for Accelerating Generative Adversarial Networks on FPGAs. - Jung-Woo Chang; Saehyun Ahn; Keon-Woo Kang; Suk-Ju Kang (ASP-DAC, 2020)

An Efficient Accelerator Design Methodology For Deformable Convolutional Networks. - Saehyun Ahn; Jung-Woo Chang; Suk-Ju Kang (ICIP, 2020)

An Energy-Efficient FPGA-Based Deconvolutional Neural Networks Accelerator for Single Image Super-Resolution. - Jung-Woo Chang; Keon-Woo Kang; Suk-Ju Kang (IEEE Trans. Circuits Syst. Video Technol., 2020)

Adversarial Attacks on Deep Learning-based Video Compression and Classification Systems. - Jung-Woo Chang; Mojan Javaheripi; Seira Hidano; Farinaz Koushanfar (CoRR, 2022)

VideoFlip: Adversarial Bit Flips for Reducing Video Service Quality. - Jung-Woo Chang; Mojan Javaheripi; Farinaz Koushanfar (DAC, 2023)

RoVISQ: Reduction of Video Service Quality via Adversarial Attacks on Deep Learning-based Video Compression. - Jung-Woo Chang; Mojan Javaheripi; Seira Hidano; Farinaz Koushanfar (NDSS, 2023)

NetFlick: Adversarial Flickering Attacks on Deep Learning Based Video Compression. - Jung-Woo Chang; Nojan Sheybani; Shehzeen Samarah Hussain; Mojan Javaheripi; Seira Hidano; Farinaz Koushanfar (CoRR, 2023)

AccHashtag: Accelerated Hashing for Detecting Fault-Injection Attacks on Embedded Neural Networks. - Mojan Javaheripi; Jung-Woo Chang; Farinaz Koushanfar (ACM J. Emerg. Technol. Comput. Syst., 2023)

Magmaw: Modality-Agnostic Adversarial Attacks on Machine Learning-Based Wireless Communication Systems. - Jung-Woo Chang; Ke Sun 012; Nasimeh Heydaribeni; Seira Hidano; Xinyu Zhang 003; Farinaz Koushanfar (NDSS, 2025)

EveGuard: Defeating Vibration-based Side-Channel Eavesdropping with Audio Adversarial Perturbations. - Jung-Woo Chang; Ke Sun 012; David Xia; Xinyu Zhang 003; Farinaz Koushanfar (SP, 2025)