Emerging Computing Lab
Probably upcoming changes in computing may require a software-hardware crossover. Jeong Lab at Hanyang University views emerging computing at various levels (from device to algorithm) and draws inspiration from the brain. We do research on
Digital neuromorphic processor design for real-time and real-environment event-data processing
Where/what path realization for event-streams in spiking neural networks
Self-Supervised Learning algorithms for spiking neural networks
Mixed-signal computing-in-memory macro designs.
Recruiting!
We have open positions for postdocs who are experts in event-data processing algorithms.
PhD., MS., and Undergraduate Research positions available (Department of Semiconductor Engineering or Materials Science and Engineering). If you are interested in our lab, please feel free to contact Prof. Jeong (dooseokj at hanyang.ac.kr).
이벤트 데이터 처리 알고리즘을 전공한 박사후과정 연구원을 모집합니다. 관심있는 해당전공 연구자는 CV를 동봉한 이메일을 보내주시기 바랍니다.
디지털 및 혼성신호 기반 딥러닝 연산가속기 설계를 전공할 AI반도체대학원 박사/석사과정학생을 모집합니다. 연구계획을 동봉한 이메일을 보내주시기 바랍니다.
News
[24/2/23] Choongseok and Changmin's review paper "Hardware for deep learning acceleration" got accepted for publication in Advanced Intelligent Systems.
[24/2/21] Kanghyeok received his PhD today. Congrats!
[23/12/21] Kanghyeok's paper "Purely self-rectifying memristor-based passive crossbar array for artificial neural network accelerators" got accepted for publication in Nature Communications.
Recent publications
Hardware for deep learning acceleration, Choongseok Song, Changmin Ye, Yonguk Sim, Doo Seok Jeong*, Advanced Intelligent Systems 2024, 2300762.[paper]
Purely self-rectifying memristor-based passive crossbar array for artificial neural network accelerators, Kanghyeok Jeon, Jin Joo Ryu, Seongil Im, Hyun Kyu Seo, Taeyong Eom, Hyunsu Ju*, Min Kyu Yang*, Doo Seok Jeong*, Gun Hwan Kim*, Nature Communications 2024, 15, 129.[paper]
CBP-QSNN: Spiking Neural Neworks Quantized Using Constrained Backpropagation, DongHyung Yoo and Doo Seok Jeong*, IEEE Journal on Emerging and Selected Topics in Circuits and Systems (JETCAS) 2023.[paper]
GEBA: Gradient-Error-Based Approximation of Activation Functions, Changmin Ye and Doo Seok Jeong*, IEEE Journal on Emerging and Selected Topics in Circuits and Systems (JETCAS) 2023.[paper]