Jongkil Park

Joined

May 2023

Names

Jongkil Park (Preferred)

Emails

****@gmail.com (Confirmed)

****@kist.re.kr (Confirmed)

Personal Links

Homepage

Career & Education History

Principal Researcher

Korea Institute of Science and Technology (kist.re.kr)

2017 – 2024

Advisors, Relations & Conflicts

PhD Advisor

Gert Cauwenberghs

2008 – 2014

Expertise

Neuromorphic system design

2014 – 2024

Publications

A$^2$SG: Adaptive and Asymmetric Surrogate Gradients for Training Deep Spiking Neural Network
Yongjin Kweon, Yechan Kang, Mingyeong Seo, Sohee Park, Yeonguk jeon, Jongkil Park, Hyun Jae Jang, Jaewook Kim, YeonJoo Jeong, Suyoun Lee, Seongsik Park
- Submitted to ICLR 2026
- Readers: Everyone
DAS-GNN: Degree-Aware Spiking Graph Neural Networks for Graph Classification
SunJong Park, Hyeyoon Lee, Kanghyun Choi, Dain Kwon, Jongkil Park, Seongsik Park, Jinho Lee
- Submitted to ICLR 2025
- Readers: Everyone
H-Direct: Homeostasis-aware Direct Spike Encoding for Deep Spiking Neural Networks
Yechan Kang, Mingyeong Seo, Jeonghee Jo, Hyun Jae Jang, Jongkil Park, Jaewook Kim, Suyoun Lee, Jinkyu Kim, Seongsik Park
- Submitted to ICLR 2025
- Readers: Everyone
Homeostasis-aware Direct Spike Encoding for Deep Spiking Neural Networks
Yechan Kang, Mingyeong Seo, Jeonghee Jo, Hyun Jae Jang, Jongkil Park, Jaewook Kim, Suyoun Lee, Jinkyu Kim, Seongsik Park
- NeuroAI @ NeurIPS 2024 Poster
- Readers: Everyone
TAS-GNN: Topology-Aware Spiking Graph Neural Networks for Graph Classification
SunJong Park, Hyeyoon Lee, Kanghyun Choi, Dain Kwon, Jongkil Park, Seongsik Park, Jinho Lee
- Submitted to NeurIPS 2024
- Readers: Everyone
Gradient Scaling on Deep Spiking Neural Networks with Spike-Dependent Local Information
Seongsik Park, Jeonghee Jo, Jongkil Park, Yeonjoo Jeong, Jaewook Kim, Suyoun Lee, Joon young Kwak, Inho Kim, Jong-keuk Park, Kyeong seok Lee, Hwang gyu Weon, Hyun Jae Jang
- ICML LLW 2023
- Readers: Everyone

Jongkil Park

Names

Emails

Personal Links

Career & Education History

Advisors, Relations & Conflicts

Expertise

Publications

A$^2$SG: Adaptive and Asymmetric Surrogate Gradients for Training Deep Spiking Neural Network

DAS-GNN: Degree-Aware Spiking Graph Neural Networks for Graph Classification

H-Direct: Homeostasis-aware Direct Spike Encoding for Deep Spiking Neural Networks

Homeostasis-aware Direct Spike Encoding for Deep Spiking Neural Networks

TAS-GNN: Topology-Aware Spiking Graph Neural Networks for Graph Classification

Gradient Scaling on Deep Spiking Neural Networks with Spike-Dependent Local Information

Co-Authors