Je Yang
Ph.D. Student at Columbia University
Research Interest
- Reinforcement Learning & Distributed Learning
- Machine Learning based SoC Design
Publication
Conference Papers
JNPU: A 1.04TFLOPS Joint-DNN Training Processor with Speculative Cyclic Quantization and Triple Heterogeneity on Microarchitecture / Precision / Dataflow
Je Yang, Sukbin Lim, Sukjin Lee, Jae-Young Kim and Joo-Young Kim
IEEE European Solid-State Circuits Conference (ESSCIRC), 2023
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
The International Conference on Field Programmable Technology (FPT), 2022
FIXAR: A Fixed-Point Deep Reinforcement Learning Platform with Quantization-Aware Training and Adaptive Parallelism
Je Yang, Seongmin Hong, and Joo-Young Kim
ACM/IEEE Design Automation Conference (DAC) 2021