HASPRNG: Hardware Accelerated Scalable Parallel Random Number Generators. - JunKyu Lee; Yu Bi; Gregory D. Peterson; Robert J. Hinde; Robert J. Harrison (Comput. Phys. Commun., 2009)

Implementation of Hardware-Accelerated Scalable Parallel Random Number Generators. - JunKyu Lee; Gregory D. Peterson; Robert J. Harrison; Robert J. Hinde (VLSI Design, 2010)

A fully pipelined kernel normalised least mean squares processor for accelerated parameter optimisation. - Nicholas J. Fraser; Duncan J. M. Moss; JunKyu Lee; Stephen Tridgell; Craig T. Jin; Philip Heng Wai Leong (FPL, 2015)

Significant papers from the first 25 years of the FPL conference. - Philip Heng Wai Leong; Hideharu Amano; Jason Helge Anderson; Koen Bertels; João M. P. Cardoso; Oliver Diessel; Guy Gogniat; Mike Hutton; JunKyu Lee; Wayne Luk; Patrick Lysaght; Marco Platzner; et al. (FPL, 2015)

FPGA Implementations of Kernel Normalised Least Mean Squares Processors. - Nicholas J. Fraser; JunKyu Lee; Duncan J. M. Moss; Julian Faraone; Stephen Tridgell; Craig T. Jin; Philip Heng Wai Leong (ACM Trans. Reconfigurable Technol. Syst., 2017)

The First 25 Years of the FPL Conference: Significant Papers. - Philip Heng Wai Leong; Hideharu Amano; Jason Helge Anderson; Koen Bertels; João M. P. Cardoso; Oliver Diessel; Guy Gogniat; Mike Hutton; JunKyu Lee; Wayne Luk; Patrick Lysaght; Marco Platzner; et al. (ACM Trans. Reconfigurable Technol. Syst., 2017)

Energy-Efficient Iterative Refinement Using Dynamic Precision. - JunKyu Lee; Hans Vandierendonck; Mahwish Arif; Gregory D. Peterson; Dimitrios S. Nikolopoulos (IEEE J. Emerg. Sel. Topics Circuits Syst., 2018)

AIR: Iterative refinement acceleration using arbitrary dynamic precision. - JunKyu Lee; Gregory D. Peterson; Dimitrios S. Nikolopoulos; Hans Vandierendonck (Parallel Comput., 2020)

TOD: Transprecise Object Detection to Maximise Real-Time Accuracy on the Edge. - JunKyu Lee; Blesson Varghese; Roger F. Woods; Hans Vandierendonck (ICFEC, 2021)

Resource-Efficient Deep Learning: A Survey on Model-, Arithmetic-, and Implementation-Level Techniques. - JunKyu Lee; Lev Mukhanov; Amir Sabbagh Molahosseini; Umar Ibrahim Minhas; Yang Hua 001; Jesús Martínez del Rincón; Kiril Dichev; Cheol-Ho Hong; Hans Vandierendonck (CoRR, 2021)

Towards Lower Precision Adaptive Filters: Facts From Backward Error Analysis of RLS. - JunKyu Lee; Hans Vandierendonck (IEEE Trans. Signal Process., 2021)

Comparison of Two Microcontroller Boards for On-Device Model Training in a Keyword Spotting Task. - Nil Llisterri Giménez; Felix Freitag; JunKyu Lee; Hans Vandierendonck (MECO, 2022)

Mixed-Precision Kernel Recursive Least Squares. - JunKyu Lee; Dimitrios S. Nikolopoulos; Hans Vandierendonck (IEEE Trans. Neural Networks Learn. Syst., 2022)

Increased Leverage of Transprecision Computing for Machine Vision Applications at the Edge. - Umar Ibrahim Minhas; JunKyu Lee; Lev Mukhanov; Georgios Karakonstantis; Hans Vandierendonck; Roger F. Woods (J. Signal Process. Syst., 2022)

ROMA: Run-Time Object Detection To Maximize Real-Time Accuracy. - JunKyu Lee; Blesson Varghese; Hans Vandierendonck (WACV, 2023)

A case study on latency, bandwidth and energy efficiency of mobile 5G and YouTube Edge service in London. Why the 5G ecosystem and energy efficiency matter? - Peixuan Song; JunKyu Lee; Lev Mukhanov (CoRR, 2023)

Resource-Efficient Convolutional Networks: A Survey on Model-, Arithmetic-, and Implementation-Level Techniques. - JunKyu Lee; Lev Mukhanov; Amir Sabbagh Molahosseini; Umar Ibrahim Minhas; Yang Hua 001; Jesús Martínez del Rincón; Kiril Dichev; Cheol-Ho Hong; Hans Vandierendonck (ACM Comput. Surv., 2023)

Do 5G Networks Achieve The Proclaimed Promises? An Empirical Study Using YouTube Edge Service. - Peixuan Song; JunKyu Lee; Ahmed M. Abdelmoniem; Lev Mukhanov (EDGE, 2024)

The Effects of Weight Quantization on Online Federated Learning for the IoT: A Case Study. - Nil Llisterri Giménez; JunKyu Lee; Felix Freitag; Hans Vandierendonck (IEEE Access, 2024)

Fast, Scalable, Energy-Efficient Non-element-wise Matrix Multiplication on FPGA. - Xuqi Zhu; Huaizhi Zhang; JunKyu Lee; Jiacheng Zhu; Chandrajit Pal; Sangeet Saha; Klaus D. McDonald-Maier; Xiaojun Zhai (CoRR, 2024)

Unlocking the power of 4G/5G mobile networks: An empirical dive into quality and energy efficiency in YouTube Edge services. - Peixuan Song; JunKyu Lee; Ahmed M. Abdelmoniem; Lev Mukhanov (Comput. Networks, 2025)

Vortex Feature Positioning: Bridging tabular IIoT data and image-based deep learning. - Jong-Ik Park; Sihoon Seong; JunKyu Lee; Cheol-Ho Hong (Internet Things, 2025)