Jeonghee Jo

According to our database, Jeonghee Jo authored at least 10 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

A More Accurate Approximation of Activation Function with Few Spikes Neurons.

Dayena Jeong, Jaewoo Park, Jeonghee Jo, Jongkil Park, Jaewook Kim, Hyun Jae Jang, Suyoun Lee, Seongsik Park

CoRR, 2024

Neural Polarization: Toward Electron Density for Molecules by Extending Equivariant Networks.

Bumju Kwak, Jeonghee Jo

CoRR, 2024

2023

Deep contrastive learning of molecular conformation for efficient property prediction.

Yang Jeong Park, Hyungi Kim, Jeonghee Jo, Sungroh Yoon

Nat. Comput. Sci., 2023

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, Gye Weon Hwang, Hyun Jae Jang

CoRR, 2023

Mass Spectra Prediction with Structural Motif-based Graph Neural Networks.

Jiwon Park, Jeonghee Jo, Sungroh Yoon

CoRR, 2023

2022

Brain-inspired Predictive Coding Improves the Performance of Machine Challenging Tasks.

Jangho Lee, Jeonghee Jo, Byounghwa Lee, Jung-Hoon Lee, Sungroh Yoon

Frontiers Comput. Neurosci., 2022

2021

Geometry-aware Transformer for molecular property prediction.

Bumju Kwak, Jeonghee Jo, Byunghan Lee, Sungroh Yoon

CoRR, 2021

Flexible dual-branched message passing neural network for quantum mechanical property prediction with molecular conformation.

Jeonghee Jo, Bumju Kwak, Byunghan Lee, Sungroh Yoon

CoRR, 2021

2019

Comprehensive ensemble in QSAR prediction for drug discovery.

Sunyoung Kwon, Ho Bae, Jeonghee Jo, Sungroh Yoon

BMC Bioinform., 2019

Prediction of Drug Classes with a Deep Neural Network using Drug Targets and Chemical Structure Data.

Jeonghee Jo, Hyun-Soo Choi, Sungroh Yoon

Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019