TwinDNN: A Tale of Two Deep Neural Networks. - Hyunmin Jeong; Deming Chen (ASAP, 2021)

ScaleHLS: Scalable High-Level Synthesis through MLIR. - Hanchen Ye; Cong Hao; Jianyi Cheng; Hyunmin Jeong; Jack Huang; Stephen Neuendorffer; Deming Chen (CoRR, 2021)

PyLog: An Algorithm-Centric Python-Based FPGA Programming and Synthesis Flow. - Sitao Huang; Kun Wu 002; Hyunmin Jeong; Chengyue Wang 002; Deming Chen; Wen-Mei Hwu (IEEE Trans. Computers, 2021)

ScaleHLS: a scalable high-level synthesis framework with multi-level transformations and optimizations: invited. - Hanchen Ye; HyeGang Jun; Hyunmin Jeong; Stephen Neuendorffer; Deming Chen (DAC, 2022)

ScaleHLS: A New Scalable High-Level Synthesis Framework on Multi-Level Intermediate Representation. - Hanchen Ye; Cong Hao; Jianyi Cheng; Hyunmin Jeong; Jack Huang; Stephen Neuendorffer; Deming Chen (HPCA, 2022)

AutoScaleDSE: A Scalable Design Space Exploration Engine for High-Level Synthesis. - HyeGang Jun; Hanchen Ye; Hyunmin Jeong; Deming Chen (ACM Trans. Reconfigurable Technol. Syst., 2023)

TCP: A Tensor Contraction Processor for AI Workloads Industrial Product. - Hanjoon Kim; Younggeun Choi; Junyoung Park; Byeongwook Bae; Hyunmin Jeong; Sang Min Lee 014; Jeseung Yeon; Minho Kim; Changjae Park; Boncheol Gu; Changman Lee; Jaeick Bae; et al. (ISCA, 2024)

Polarization Diversity and Transfer Learning-Based Modulation Optimization for High-Speed Dual Channel MIMO Backscatter Communication. - Hyunmin Jeong; Nohgyeom Ha; Apostolos Georgiadis; Manos M. Tentzeris; Sangkil Kim (IEEE Internet Things J., 2024)

16.2 RNGD: A 5nm Tensor-Contraction Processor for Power-Efficient Inference on Large Language Models. - Sang Min Lee; Hanjoon Kim; Jeseung Yeon; Minho Kim; Changjae Park; Byeongwook Bae; Yojung Cha; Wooyoung Choe; Jonguk Choi; Younggeun Choi; Ki Jin Han; Seokha Hwang; et al. (ISSCC, 2025)

FuriosaAI RNGD: A Tensor Contraction Processor for Sustainable AI Computing. - Younggeun Choi; Junyoung Park; Sang Min Lee 014; Jeseung Yeon; Minho Kim; Changjae Park; Byeongwook Bae; Hyunmin Jeong; Hanjoon Kim; June Paik; Nuno P. Lopes; Sungjoo Yoo (IEEE Micro, 2025)