Jaehoon Cha

According to our database, Jaehoon Cha authored at least 21 papers between 2007 and 2026.

Collaborative distances:

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

2026

Enhancing rainfall prediction accuracy through image fusion of radar and numerical weather prediction models.

Jongyun Byun, Jaehoon Cha, Jeyan Thiyagalingam, Hyeon-Joon Kim, Changhyun Jun

Expert Syst. Appl., 2026

15.9 A 48Gb/s 24Gb GDDR7 DRAM for Mid-Range Inference AI with Symmetric 2CH-Mode Operation, Clock-Path Optimization, and RAS Features.

Hyunsu Park, Sungkwon Lee, Kyunghoon Kim, Jin-Youp Cha, Hyeongjun Ko, Jaehyeok Yang, Seongjin Kim, Youngtaek Kim, Minsoo Park, Gangsik Lee, Keonho Lee, Sanghoon Lee, Jiseok Lee, Gyunam Jeon, Sera Jeong, Yongsuk Joo, Jaehoon Cha, Seonwoo Hwang, Seulgi Kim, Eunji Song, Junghwan Ji, Byungjun Kang, Boram Kim, Sang-Yeon Byeon, Hankyu Chi, Hyungsoo Kim, Jonghwan Kim

Proceedings of the IEEE International Solid-State Circuits Conference, 2026

Token-Wise Kernels (TWiKers) for Vicinity-Aware Attention in Transformers.

Kuangdai Leng, Jia Bi, Samuel Pinilla, Jaehoon Cha

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2026, 2026

2025

Discovering fully semantic representations via centroid- and orientation-aware feature learning.

Jaehoon Cha, Jinhae Park, Samuel Pinilla, Kyle L. Morris, Christopher S. Allen, Mark I. Wilkinson, Jeyan Thiyagalingam

Nat. Mac. Intell., 2025

Enhancing Imaging Generation through Implicit Neural Representations and HyperNetwork for Spatial Variability.

Jaehoon Cha, Siu Lun Yeung, Siddharth Dhanpal, Jeyan Thiyagalingam

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024

Deep Learning Evidence for Global Optimality of Gerver's Sofa.

Kuangdai Leng, Jia Bi, Jaehoon Cha, Samuel Pinilla, Jeyan Thiyagalingam

Symmetry, 2024

Feature-Action Design Patterns for Storytelling Visualizations with Time Series Data.

Saiful Khan, Scott Jones, Benjamin Bach, Jaehoon Cha, Min Chen, Julie Meikle, Jonathan C. Roberts, Jeyan Thiyagalingam, Jo Wood, Panagiotis D. Ritsos

CoRR, 2024

13.1 A 35.4Gb/s/pin 16Gb GDDR7 with a Low-Power Clocking Architecture and PAM3 IO Circuitry.

Jaehyeok Yang, Hyeongjun Ko, Kyunghoon Kim, Hyunsu Park, Jihwan Park, Ji-Hyo Kang, Jin-Youp Cha, Seongjin Kim, Youngtaek Kim, Minsoo Park, Gangsik Lee, Keonho Lee, Sanghoon Lee, Gyunam Jeon, Sera Jeong, Yongsuk Joo, Jaehoon Cha, Seonwoo Hwang, Boram Kim, Sang-Yeon Byeon, Sungkwon Lee, Hyeonyeol Park, Joohwan Cho, Jonghwan Kim

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

2023

Deep Learning-Based Rainfall Prediction Using Cloud Image Analysis.

Jongyun Byun, Changhyun Jun, Jinwon Kim, Jaehoon Cha, Roya Narimani

IEEE Trans. Geosci. Remote. Sens., 2023

Orthogonality-Enforced Latent Space in Autoencoders: An Approach to Learning Disentangled Representations.

Jaehoon Cha, Jeyan Thiyagalingam

Proceedings of the International Conference on Machine Learning, 2023

2022

A 24-Gb/s/Pin 8-Gb GDDR6 With a Half-Rate Daisy-Chain-Based Clocking Architecture and I/O Circuitry for Low-Noise Operation.

Jihyo Kang, Jaehyeok Yang, Kyunghoon Kim, Joo-Hyung Chae, Gang-Sik Lee, Sang-Yeon Byeon, Boram Kim, Dong-Hyun Kim, Youngtaek Kim, Yeongmuk Cho, Junghwan Ji, Sera Jeong, Jaehoon Cha, Minsoo Park, Hongdeuk Kim, Sijun Park, Sunho Kim, Hae-Kang Jung, Jieun Jang, Sangkwon Lee, Hyungsoo Kim, Joo-Hwan Cho, Junhyun Chun, Seon-Yong Cha

IEEE J. Solid State Circuits, 2022

Disentangling Autoencoders (DAE).

Jaehoon Cha, Jeyan Thiyagalingam

CoRR, 2022

A hierarchical auxiliary deep neural network architecture for large-scale indoor localization based on Wi-Fi fingerprinting.

Jaehoon Cha, Enggee Lim

Appl. Soft Comput., 2022

2021

A 24Gb/s/pin 8Gb GDDR6 with a Half-Rate Daisy-Chain-Based Clocking Architecture and IO Circuitry for Low-Noise Operation.

Kyunghoon Kim, Joo-Hyung Chae, Jaehyeok Yang, Jihyo Kang, Gang-Sik Lee, Sang-Yeon Byeon, Youngtaek Kim, Boram Kim, Dong-Hyun Kim, Yeongmuk Cho, Kangmoo Choi, Hyeongyeol Park, Junghwan Ji, Sera Jeong, Yongsuk Joo, Jaehoon Cha, Minsoo Park, Hongdeuk Kim, Sijun Park, Kyubong Kong, Sunho Kim, Sangkwon Lee, Junhyun Chun, Hyungsoo Kim, Seon-Yong Cha

Proceedings of the IEEE International Solid-State Circuits Conference, 2021

2020

Hierarchical Auxiliary Learning.

Jaehoon Cha, Kyeong Soo Kim, Sanghyuk Lee

Mach. Learn. Sci. Technol., 2020

2019

On the Transformation of Latent Space in Autoencoders.

Jaehoon Cha, Kyeong Soo Kim, Sanghyuk Lee

CoRR, 2019

Data Gathering and Application to Building Energy Optimization with Sensitivity Analysis for IoT Applications.

Sanghyuk Lee, Jaehoon Cha, Kyeong Soo Kim

Proceedings of the 2019 International SoC Design Conference, 2019

2017

Analysis of a Similarity Measure for Non-Overlapped Data.

Sanghyuk Lee, Jaehoon Cha, Nipon Theera-Umpon, Kyeong Soo Kim

Symmetry, 2017

Large-Scale Location-Aware Services in Access: Hierarchical Building/Floor Classification and Location Estimation using Wi-Fi Fingerprinting Based on Deep Neural Networks.

Kyeong Soo Kim, Ruihao Wang, Zhenghang Zhong, Zikun Tan, Haowei Song, Jaehoon Cha, Sanghyuk Lee

CoRR, 2017

On the design of similarity measures based on fuzzy integral.

Jaehoon Cha, Sanghyuk Lee, Kyeong Soo Kim, Witold Pedrycz

Proceedings of the Joint 17th World Congress of International Fuzzy Systems Association and 9th International Conference on Soft Computing and Intelligent Systems, 2017

2007

A 1.5-V 3.2 Gb/s/pin Graphic DDR4 SDRAM With Dual-Clock System, Four-Phase Input Strobing, and Low-Jitter Fully Analog DLL.

Ki-Won Lee, Joo-Hwan Cho, Byoung-Jin Choi, Geun-Il Lee, Ho-Don Jung, Woo-Young Lee, Ki-Chon Park, Yongsuk Joo, Jaehoon Cha, Young-Jung Choi, Patrick B. Moran, Jin-Hong Ahn

IEEE J. Solid State Circuits, 2007