Sitemap
A list of all the posts and pages found on the site. For you robots out there, there is an XML version available for digesting as well.
Pages
Posts
Future Blog Post
Published:
This post will show up by default. To disable scheduling of future posts, edit config.yml and set future: false.
Blog Post number 4
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 2
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 1
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
portfolio
Portfolio item number 1
Short description of portfolio item number 1
Portfolio item number 2
Short description of portfolio item number 2
publications
C FIXAR: A Fixed-Point Deep Reinforcement Learning Platform with Quantization-Aware Training and Adaptive Parallelism [paper]
ACM/IEEE Design Automation Conference (DAC), 2021
Je Yang, Seongmin Hong, and Joo-Young Kim
C LearningGroup: A Real-Time Sparse Training on FPGA via Learnable Weight Grouping for Multi-Agent Reinforcement Learning [paper]
IEEE International Conference on Field Programmable Technology (ICFPT), 2022
Je Yang, JaeUk Kim, and Joo-Young Kim
C JNPU: A 1.04TFLOPS Joint-DNN Training Processor with Speculative Quantization and Triple Heterogeneity on Microarchitecture / Precision / Dataflow [paper]
IEEE European Solid-State Circuits Conference (ESSCIRC), 2023
Je Yang, Sukbin Lim, Sukjin Lee, Jae-Young Kim, and Joo-Young Kim
C ReconFormer: A Multi-Level Run-time Reconfigurable System-on-Chip for Accelerating Transformers [paper]
IEEE International Conference on Field-Programmable Logic and Applications (FPL), 2025
Je Yang, Gabriele Tombesi, Joseph Zuckerman, and Luca P. Carloni
talks
Design- and Run-time Reconfigurable System-on-chip for Language Model Inference on Edge [paper]
Published:
Je Yang, Gabriele Tombesi, Joseph Zuckerman, and Luca P. Carloni
An Open-Source DNN Acceleration Fabric with Flexible Inter-Layer Pipelining Support
Published:
Gabriele Tombesi, Joseph Zuckerman, Je Yang, William Baisi, Kevin Lee, Davide Giri, and Luca P. Carloni
A Cache Coherence-Aware Runtime Reconfigurable System-on-Chip for Efficient Language Model Inference
Published:
Je Yang, Gracen Wallace, Joseph Zuckerman, Gabriele Tombesi, and Luca P. Carloni
teaching
CSEE4868 System-on-Chip Platforms
Fall 2024, Fall 2025
CSEE6868 Embedded Scalable Platforms
Spring 2025, Spring 2026
EE303 Digital System Design
Spring 2021, Fall 2022
EE488 Hardware Acceleration for Machine Learning
Spring 2022