selected publications

Check the full publications list on Google Scholar.

2026

  1. A Coherence-Aware Runtime Reconfigurable System-on-Chip for Efficient Language Model Inference
    Je Yang, Gracen Wallace, Joseph Zuckerman, Gabriele Tombesi, and Luca P. Carloni
    IEEE Micro, 2026

2025

  1. ReconFormer: A Multi-Level Run-time Reconfigurable System-on-Chip for Accelerating Transformers
    Je Yang, Gabriele Tombesi, Joseph Zuckerman, and Luca P. Carloni
    In IEEE International Conference on Field-Programmable Logic and Applications (FPL), 2025

2023

  1. JNPU: A 1.04TFLOPS Joint-DNN Training Processor with Speculative Quantization and Triple Heterogeneity on Microarchitecture / Precision / Dataflow
    Je Yang, Sukbin Lim, Sukjin Lee, Jae-Young Kim, and Joo-Young Kim
    In IEEE European Solid-State Circuits Conference (ESSCIRC), 2023

2022

  1. LearningGroup: A Real-Time Sparse Training on FPGA via Learnable Weight Grouping for Multi-Agent Reinforcement Learning
    Je Yang, JaeUk Kim, and Joo-Young Kim
    In IEEE International Conference on Field Programmable Technology (ICFPT), 2022

2021

  1. FIXAR: A Fixed-Point Deep Reinforcement Learning Platform with Quantization-Aware Training and Adaptive Parallelism
    Je Yang, Seongmin Hong, and Joo-Young Kim
    In ACM/IEEE Design Automation Conference (DAC), 2021