Hyeokjun Choe

According to our database, Hyeokjun Choe authored at least 13 papers between 2016 and 2026.

Collaborative distances:

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

2026

Channel-wise Retrieval for Multivariate Time Series Forecasting.

Junhyeok Kang, Jun Seo, Soyeon Park, Sangjun Han, Seohui Bae, Hyeokjun Choe, Soonyoung Lee

CoRR, April, 2026

2025

Adaptive Information Routing for Multimodal Time Series Forecasting.

Jun Seo, Hyeokjun Choe, Seohui Bae, Soyeon Park, Wonbin Ahn, Taeyoon Lim, Junhyeok Kang, Sangjun Han, Jaehoon Lee, Dongwan Kang, Minjae Kim, Sungdong Yoo, Soonyoung Lee

CoRR, December, 2025

On Incorporating Prior Knowledge Extracted From Large Language Models Into Causal Discovery.

Chanhui Lee, Juhyeon Kim, Yongjun Jeong, Yoonseok Yeom, Juhyun Lyu, Junghee Kim, Sangmin Lee, Sangjun Han, Hyeokjun Choe, Soyeon Park, Woohyung Lim, Sungbin Lim, Sanghack Lee

IEEE Access, 2025

2023

Can We Utilize Pre-trained Language Models within Causal Discovery Algorithms?

Chanhui Lee, Juhyeon Kim, Yongjun Jeong, Juhyun Lyu, Junghee Kim, Sangmin Lee, Sangjun Han, Hyeokjun Choe, Soyeon Park, Woohyung Lim, Sungbin Lim, Sanghack Lee

CoRR, 2023

2022

AutoSNN: Towards Energy-Efficient Spiking Neural Networks.

Byunggook Na, Jisoo Mok, Seongsik Park, Dongjin Lee, Hyeokjun Choe, Sungroh Yoon

Proceedings of the International Conference on Machine Learning, 2022

2021

Accelerating Neural Architecture Search via Proxy Data.

Byunggook Na, Jisoo Mok, Hyeokjun Choe, Sungroh Yoon

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

AdvRush: Searching for Adversarially Robust Neural Architectures.

Jisoo Mok, Byunggook Na, Hyeokjun Choe, Sungroh Yoon

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Variance-stationary Differentiable NAS.

Hyeokjun Choe, Byunggook Na, Jisoo Mok, Sungroh Yoon

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2019

Real-Time Anomalous Branch Behavior Inference with a GPU-inspired Engine for Machine Learning Models.

Hyunyoung Oh, Hayoon Yi, Hyeokjun Choe, Yeongpil Cho, Sungroh Yoon, Yunheung Paek

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2019

Fast and Efficient Information Transmission with Burst Spikes in Deep Spiking Neural Networks.

Seongsik Park, Sei Joon Kim, Hyeokjun Choe, Sungroh Yoon

Proceedings of the 56th Annual Design Automation Conference 2019, 2019

2018

CloudSocket: Fine-Grained Power Sensing System for Datacenters.

Seil Lee, Hanjoo Kim, Seongsik Park, Sei Joon Kim, Hyeokjun Choe, Sungroh Yoon

IEEE Access, 2018

2016

Near-Data Processing for Machine Learning.

Hyeokjun Choe, Seil Lee, Seongsik Park, Sei Joon Kim, Eui-Young Chung, Sungroh Yoon

CoRR, 2016

CloudSocket: Smart grid platform for datacenters.

Seil Lee, Hanjoo Kim, Seongsik Park, Sei Joon Kim, Hyeokjun Choe, Chang-Sung Jeong, Sungroh Yoon

Proceedings of the 34th IEEE International Conference on Computer Design, 2016