| An Energy-Efficient FPGA-based Deconvolutional Neural Networks Accelerator for Single Image Super-Resolution JW Chang, KW Kang, SJ Kang IEEE Transactions on Circuits and Systems for Video Technology 30 (1), 281 - 295, 2020 | 106 | 2020 |
| Optimizing FPGA-based convolutional neural networks accelerator for image super-resolution JW Chang, SJ Kang 2018 23rd Asia and south pacific design automation conference (ASP-DAC), 343-348, 2018 | 45 | 2018 |
| Towards design methodology of efficient fast algorithms for accelerating generative adversarial networks on FPGAs JW Chang, S Ahn, KW Kang, SJ Kang 2020 25th Asia and South Pacific Design Automation Conference (ASP-DAC), 283-288, 2020 | 20 | 2020 |
| An efficient accelerator design methodology for deformable convolutional networks S Ahn, JW Chang, SJ Kang 2020 IEEE International Conference on Image Processing (ICIP), 3075-3079, 2020 | 14 | 2020 |
| SDCNN: An efficient sparse deconvolutional neural network accelerator on FPGA JW Chang, KW Kang, SJ Kang 2019 design, automation & test in europe conference & exhibition (date), 968-971, 2019 | 14 | 2019 |
| AccHashtag: Accelerated Hashing for Detecting Fault-Injection Attacks on Embedded Neural Networks M Javaheripi, JW Chang, F Koushanfar ACM Journal on Emerging Technologies in Computing Systems 19 (1), 1-20, 2022 | 11 | 2022 |
| RoVISQ: Reduction of Video Service Quality via Adversarial Attacks on Deep Learning-based Video Compression JW Chang, M Javaheripi, S Hidano, F Koushanfar 30th Annual Network & Distributed System Security Symposium (NDSS 2023), 2023 | 9* | 2023 |
| Real-time vehicle detection and tracking algorithm for forward vehicle collision warning JW Chang, SJ Kang JOURNAL OF SEMICONDUCTOR TECHNOLOGY AND SCIENCE 18 (5), 547-559, 2018 | 3 | 2018 |
| Real-time temporal quality compensation technique for head mounted displays JW Chang, SJ Kang, MW Seo, SW Choi, SL Lee, HC Lee, EY Oh, JS Baek SIGGRAPH Asia 2017 Posters, 1-2, 2017 | 3 | 2017 |
| TouchNAS: Efficient touch detection model design methodology for resource-constrained devices S Ahn, JW Chang, HS Yoon, SJ Kang IEEE Sensors Journal 22 (7), 6784-6792, 2022 | 2 | 2022 |
| Magmaw: Modality-Agnostic Adversarial Attacks on Machine Learning-Based Wireless Communication Systems JW Chang, K Sun, N Heydaribeni, S Hidano, X Zhang, F Koushanfar arXiv preprint arXiv:2311.00207, 2023 | | 2023 |
| VideoFlip: Adversarial Bit Flips for Reducing Video Service Quality JW Chang, M Javaheripi, F Koushanfar 2023 60th ACM/IEEE Design Automation Conference (DAC), 1-6, 2023 | | 2023 |
| NetFlick: Adversarial Flickering Attacks on Deep Learning Based Video Compression JW Chang, N Sheybani, SS Hussain, M Javaheripi, S Hidano, ... ICLR 2023 Workshop on ML4IoT, 2023 | | 2023 |
Suk-Ju KangSogang University在 sogang.ac.kr 的电子邮件经过验证
