Kwangbae Lee

According to our database, Kwangbae Lee authored at least 3 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

2.4 ATOMUS: A 5nm 32TFLOPS/128TOPS ML System-on-Chip for Latency Critical Applications.

Chang-Hyo Yu, Hyo-Eun Kim, Sungho Shin, Kyeongryeol Bong, Hyunsuk Kim, Yoonho Boo, Jaewan Bae, Minjae Kwon, Karim Charfi, Jinseok Kim, Hongyun Kim, Myeongbo Shim, Changsoo Ha, Wongyu Shin, Jae-Sung Yoon, Miock Chi, Byungjae Lee, Sungpill Choi, Donghan Kim, Jeongseok Woo, Seokju Yoon, Hyunje Jo, Hyunho Kim, Hyun-Seok Heo, Young-Jae Jin, Jiun Yu, Jaehwan Lee, Hyunsung Kim, Minhoo Kang, Seokhyeon Choi, Seung-Goo Kim, Myung-Hoon Choi, Jungju Oh, Yunseong Kim, Haejoon Kim, Sangeun Je, Junhee Ham, Juyeong Yoon, Jaedon Lee, Seonhyeok Park, Youngseob Park, Jaebong Lee, Boeui Hong, Jaehun Ryu, Hyunseok Ko, Kwanghyun Chung, Jongho Choi, Sunwook Jung, Yashael Faith Arthanto, Jonghyeon Kim, Heejin Cho, Hyebin Jeong, Sungmin Choi, Sujin Han, Junkyu Park, Kwangbae Lee, Sung-Il Bae, Jaeho Bang, Kyeong-Jae Lee, Yeongsang Jang, Jungchul Park, Sanggyu Park, Jueon Park, Hyein Shin, Sunghyun Park, Jinwook Oh

Proceedings of the IEEE International Solid-State Circuits Conference, 2024

2020

Flexible Group-Level Pruning of Deep Neural Networks for On-Device Machine Learning.

Kwangbae Lee, Hoseung Kim, Hayun Lee, Dongkun Shin

Proceedings of the 2020 Design, Automation & Test in Europe Conference & Exhibition, 2020

2019

Flexible Group-Level Pruning of Deep Neural Networks for Fast Inference on Mobile GPUs.

Kwangbae Lee, Hoseung Kim, Hayun Lee, Dongkun Shin

Proceedings of the 2019 International Conference on Compliers, 2019