Erwei Wang

Nonideality‐Aware Training for Accurate and Robust Low‐Power Memristive Neural Networks

G. Constantinides, A. Kenyon, A. Mehonic, 2021, Advanced science.

Deep Neural Network Approximation for Custom Hardware

Wayne Luk, Xinyu Niu, Peter Y. K. Cheung, 2019, ACM Comput. Surv..

Enabling Binary Neural Network Training on the Edge

James J. Davis, S. Chatterjee, G. Constantinides, 2021, EMDL@MobiSys.

LUTNet: Learning FPGA Configurations for Highly Efficient Neural Network Inference

James J. Davis, G. Constantinides, P. Cheung, 2019, IEEE Transactions on Computers.

A PYNQ-Based Framework for Rapid CNN Prototyping

Peter Y. K. Cheung, Erwei Wang, James J. Davis, 2018, 2018 IEEE 26th Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM).

Accelerating Recurrent Neural Networks for Gravitational Wave Experiments

Wayne Luk, Zhiqiang Que, Erwei Wang, 2021, 2021 IEEE 32nd International Conference on Application-specific Systems, Architectures and Processors (ASAP).

Automatic Generation of Multi-Precision Multi-Arithmetic CNN Accelerators for FPGAs

Junyi Liu, Cheng-Zhong Xu, Xitong Gao, 2019, 2019 International Conference on Field-Programmable Technology (ICFPT).

Hardware Compilation of Deep Neural Networks: An Overview

Wayne Luk, Xinyu Niu, Xiwei Wang, 2018, 2018 IEEE 29th International Conference on Application-specific Systems, Architectures and Processors (ASAP).

LUTNet: Rethinking Inference in FPGA Soft Logic

Peter Y. K. Cheung, Erwei Wang, James J. Davis, 2019, 2019 IEEE 27th Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM).

Accelerating Position-Aware Top-k ListNet for Ranking Under Custom Precision Regimes

Qiang Li, David B. Thomas, Peter Y. K. Cheung, 2019, 2019 29th International Conference on Field Programmable Logic and Applications (FPL).

Enabling Binary Neural Network Training on the Edge

James J. Davis, S. Chatterjee, G. Constantinides, 2021, EMDL@MobiSys.