{"id":131592,"date":"2022-06-16T17:03:17","date_gmt":"2022-06-16T08:03:17","guid":{"rendered":"http:\/\/192.249.19.202\/?post_type=press-post&#038;p=131592"},"modified":"2026-04-17T23:57:36","modified_gmt":"2026-04-17T14:57:36","slug":"ee-p-h-d-candidate-donghyun-han-prof-hoi-jun-yoo-wins-best-paper-award-best-live-demo-award","status":"publish","type":"press-post","link":"http:\/\/ee.presscat.kr\/en\/presses\/ee-p-h-d-candidate-donghyun-han-prof-hoi-jun-yoo-wins-best-paper-award-best-live-demo-award\/","title":{"rendered":"EE P.h.D. candidate Donghyun Han (Prof. Hoi-jun Yoo) wins Best Paper Award &amp;  Best Live Demo Award"},"content":{"rendered":"<p><span style=\"font-family: verdana, geneva, sans-serif\">Ph.D. student Donghyeon Han (Advised by Hoi-Jun Yoo) won the\u00a0Best Paper Award and the\u00a0Best Live Demo Award\u00a0at the 2022 IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS). CICC is an international conference held annually by IEEE, and this year, it was\u00a0held in Songdo, Incheon from June 13th to 15th. Ph.D. student Donghyeon Han has published a paper titled\u00a0\u201cHNPU-V2: A 0.95 mJ\/frame DNN Training Processor for Robust Object Detection with Real-World Environmental Adaptation\u201d.<\/span><\/p>\n<p>&nbsp;<\/p>\n<p><span style=\"font-family: verdana, geneva, sans-serif\"><img fetchpriority=\"high\" decoding=\"async\" class=\"alignnone size-full wp-image-131593\" src=\"http:\/\/ee.presscat.kr\/wp-content\/uploads\/2022\/06\/\ud55c\ub3d9\ud604_IEEE_AICAS-demo-1.png\" alt=\"\" width=\"685\" height=\"496\" title=\"\" srcset=\"http:\/\/ee.presscat.kr\/wp-content\/uploads\/2022\/06\/\ud55c\ub3d9\ud604_IEEE_AICAS-demo-1.png 685w, http:\/\/ee.presscat.kr\/wp-content\/uploads\/2022\/06\/\ud55c\ub3d9\ud604_IEEE_AICAS-demo-1-300x217.png 300w\" sizes=\"(max-width: 685px) 100vw, 685px\" \/><\/span><\/p>\n<p><span style=\"font-family: verdana, geneva, sans-serif\">Details are as follows. Congratulations once again to Ph.D. student Donghyeon Han and Professor Hoi-Jun Yoo!<\/span><\/p>\n<p><span style=\"font-family: verdana, geneva, sans-serif\">Conference:\u00a02022 IEEE International Conference on Artificial Intelligence Circuits and Systems\u00a0(AICAS)<\/span><\/p>\n<p><span style=\"font-family: verdana, geneva, sans-serif\">Date: June 13-15, 2022<\/span><\/p>\n<p><span style=\"font-family: verdana, geneva, sans-serif\">Award:\u00a0Best Paper Award &amp; Best Live Demo Award<\/span><\/p>\n<p><span style=\"font-family: verdana, geneva, sans-serif\">Authors: Deonghyeon Han, Dongseok Im, Gwangtae Park, Youngwoo Kim, Seokchan Song, Juhyoung Lee, and Hoi-Jun Yoo (Advisory Professor)<\/span><\/p>\n<p><span style=\"font-family: verdana, geneva, sans-serif\">Paper Title:\u00a0HNPU-V2: A 0.95 mJ\/frame DNN Training Processor for Robust Object Detection with Real-World Environmental Adaptation<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>1812<\/p>\n","protected":false},"featured_media":131593,"template":"","class_list":["post-131592","press-post","type-press-post","status-publish","has-post-thumbnail","hentry"],"acf":[],"_links":{"self":[{"href":"http:\/\/ee.presscat.kr\/en\/wp-json\/wp\/v2\/press-post\/131592","targetHints":{"allow":["GET"]}}],"collection":[{"href":"http:\/\/ee.presscat.kr\/en\/wp-json\/wp\/v2\/press-post"}],"about":[{"href":"http:\/\/ee.presscat.kr\/en\/wp-json\/wp\/v2\/types\/press-post"}],"wp:featuredmedia":[{"embeddable":true,"href":"http:\/\/ee.presscat.kr\/en\/wp-json\/wp\/v2\/media\/131593"}],"wp:attachment":[{"href":"http:\/\/ee.presscat.kr\/en\/wp-json\/wp\/v2\/media?parent=131592"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}