System Architecture and Software Stack for GDDR6-AiM. - Yongkee Kwon; Kornijcuk Vladimir; Nahsung Kim; Woojae Shin; Jongsoon Won; Minkyu Lee; Hyunha Joo; Haerang Choi; Guhyun Kim; Byeongju An; Jeongbin Kim 001; Jaewook Lee; et al. (HCS, 2022)

Deep Learning Discrete Calculus (DLDC): A Family of Discrete Numerical Methods by Universal Approximation for STEM Education to Frontier Research. - Sourav Saha; Chanwook Park; Stefan Knapik; Jiachen Guo; Owen Huang; Wing Kam Liu (CoRR, 2022)

Next-generation prognosis framework for pediatric spinal deformities using bio-informed deep learning networks. - Mahsa Tajdari; Farzam Tajdari; Pouyan Shirzadian; Aishwarya Pawar; Mirwais Wardak; Sourav Saha; Chanwook Park; Toon Huysmans; Yu Song 003; Yongjie Jessica Zhang; John F. Sarwark; Wing Kam Liu (Eng. Comput., 2022)

Memory-Centric Computing with SK Hynix's Domain-Specific Memory. - Yongkee Kwon; Guhyun Kim; Nahsung Kim; Woojae Shin; Jongsoon Won; Hyunha Joo; Haerang Choi; Byeongju An; Gyeongcheol Shin; Dayeon Yun; Jeongbin Kim 001; Changhyun Kim; et al. (HCS, 2023)

A 1ynm 1.25V 8Gb 16Gb/s/Pin GDDR6-Based Accelerator-in-Memory Supporting 1TFLOPS MAC Operation and Various Activation Functions for Deep Learning Application. - Dae-Han Kwon; Seongju Lee; Kyuyoung Kim; Sanghoon Oh; Joonhong Park; Gimoon Hong; Dongyoon Ka; Kyu-Dong Hwang; Jeongje Park; Kyeong Pil Kang; Jungyeon Kim; Junyeol Jeon; et al. (IEEE J. Solid State Circuits, 2023)

JAX-FEM: A differentiable GPU-accelerated 3D finite element solver for automatic inverse design and mechanistic data science. - Tianju Xue; Shuheng Liao; Zhengtao Gan; Chanwook Park; Xiaoyu Xie; Wing Kam Liu; Jian Cao (Comput. Phys. Commun., 2023)

IANUS: Integrated Accelerator based on NPU-PIM Unified Memory System. - Minseok Seo; Xuan Truong Nguyen; Seok Joong Hwang; Yongkee Kwon; Guhyun Kim; Chanwook Park; Ilkon Kim; Jaehan Park; Jeongbin Kim 001; Woojae Shin; Jongsoon Won; Haerang Choi; et al. (ASPLOS (3), 2024)

A Practical Evaluation of Multi-Agent Pathfinding in Automated Warehouse. - Chanwook Park; Moonsik Nam; Hyeong Il Moon; Youngjae Kim (UR, 2024)

Engineering software 2.0 by interpolating neural networks: unifying training, solving, and calibration. - Chanwook Park; Sourav Saha; Jiachen Guo; Xiaoyu Xie; Satyajit Mojumder; Miguel A. Bessa; Dong Qian; Wei Chen 041; Gregory J. Wagner; Jian Cao; Wing Kam Liu (CoRR, 2024)

Multi-Patch Isogeometric Convolution Hierarchical Deep-learning Neural Network. - Lei Zhang; Chanwook Park; T. J. R. Hughes; Wing Kam Liu (CoRR, 2024)

Convolutional Hierarchical Deep Learning Neural Networks-Tensor Decomposition (C-HiDeNN-TD): a scalable surrogate modeling approach for large-scale physical systems. - Jiachen Guo; Chanwook Park; Xiaoyu Xie; Zhongsheng Sang; Gregory J. Wagner; Wing Kam Liu (CoRR, 2024)

Interpolation Neural Network-Tensor Decomposition (INN-TD): a scalable and interpretable approach for large-scale physics-based problems. - Jiachen Guo; Xiaoyu Xie; Chanwook Park; Hantao Zhang; Matthew Politis; Gino Domel; Thomas J. R. Hughes; Wing Kam Liu (CoRR, 2025)

Tensor-decomposition-based A Priori Surrogate (TAPS) modeling for ultra large-scale simulations. - Jiachen Guo; Gino Domel; Chanwook Park; Hantao Zhang; Ozgur Can Gumus; Ye Lu; Gregory J. Wagner; Dong Qian; Jian Cao; Thomas J. R. Hughes; Wing Kam Liu (CoRR, 2025)

Explainable Hierarchical Deep Learning Neural Networks (Ex-HiDeNN). - Reza T. Batley; Chanwook Park; Wing Kam Liu; Sourav Saha (CoRR, 2025)