基于泛函网络的软件可靠性多模型综合预测方法 (Multi-model Synthesis Prediction of Software Reliability Based on Functional Networks). - Erwei Wang; Qizong Wu (计算机科学, 2015)

Hardware Compilation of Deep Neural Networks: An Overview. - Ruizhe Zhao; Shuanglong Liu; Ho-Cheung Ng; Erwei Wang; James J. Davis 001; Xinyu Niu; Xiwei Wang; Huifeng Shi; George A. Constantinides; Peter Y. K. Cheung; Wayne Luk (ASAP, 2018)

A PYNQ-Based Framework for Rapid CNN Prototyping. - Erwei Wang; James J. Davis 001; Peter Y. K. Cheung (FCCM, 2018)

Edge Content Enhanced Network Embedding. - Hongcui Wang; Erwei Wang; Di Jin 001; Xiao Wang 017; Jing Wang 023; Dongxiao He (ICTAI, 2018)

LUTNet: Rethinking Inference in FPGA Soft Logic. - Erwei Wang; James J. Davis 001; Peter Y. K. Cheung; George A. Constantinides (FCCM, 2019)

Accelerating Position-Aware Top-k ListNet for Ranking Under Custom Precision Regimes. - Qiang Li; Erwei Wang; Shane T. Fleming; David B. Thomas; Peter Y. K. Cheung (FPL, 2019)

Automatic Generation of Multi-Precision Multi-Arithmetic CNN Accelerators for FPGAs. - Yiren Zhao; Xitong Gao; Xuan Guo; Junyi Liu; Erwei Wang; Robert D. Mullins; Peter Y. K. Cheung; George A. Constantinides; Cheng-Zhong Xu 001 (FPT, 2019)

Deep Neural Network Approximation for Custom Hardware: Where We've Been, Where We're Going. - Erwei Wang; James J. Davis 001; Ruizhe Zhao; Ho-Cheung Ng; Xinyu Niu; Wayne Luk; Peter Y. K. Cheung; George A. Constantinides (ACM Comput. Surv., 2019)

LUTNet: Learning FPGA Configurations for Highly Efficient Neural Network Inference. - Erwei Wang; James J. Davis 001; Peter Y. K. Cheung; George A. Constantinides (IEEE Trans. Computers, 2020)

Accelerating Recurrent Neural Networks for Gravitational Wave Experiments. - Zhiqiang Que; Erwei Wang; Umar Marikar; Eric A. Moreno; Jennifer Ngadiuba; Hamza Javed; Bartlomiej Borzyszkowski; Thea Aarrestad; Vladimir Loncar; Sioni Summers; Maurizio Pierini; Peter Y. K. Cheung; et al. (ASAP, 2021)

Enabling Binary Neural Network Training on the Edge. - Erwei Wang; James J. Davis 001; Daniele Moro; Piotr Zielinski; Claudionor Coelho; Satrajit Chatterjee; Peter Y. K. Cheung; George A. Constantinides (CoRR, 2021)

Nonideality-Aware Training for Accurate and Robust Low-Power Memristive Neural Networks. - Dovydas Joksas; Erwei Wang; Nikolaos Barmpatsalos; Wing H. Ng; Anthony J. Kenyon; George A. Constantinides; Adnan Mehonic (CoRR, 2021)

Generated Data for the Manuscript "Nonideality-Aware Training for Accurate and Robust Low-Power Memristive Neural Networks". - Dovydas Joksas; Erwei Wang; Nikolaos Barmpatsalos; Wing H. Ng; Anthony J. Kenyon; George A. Constantinides; Adnan Mehonic (Zenodo, 2021)

Logic Shrinkage: Learned FPGA Netlist Sparsity for Efficient Neural Network Inference. - Erwei Wang; James J. Davis 001; Georgios-Ilias Stavrou; Peter Y. K. Cheung; George A. Constantinides; Mohamed S. Abdelfattah (FPGA, 2022)

FPL Demo: Logic Shrinkage: A Neural Architecture Search-Based Approach to FPGA Netlist Generation. - Marie Auffret; Erwei Wang; James J. Davis 001 (FPL, 2022)

Hotel recommendation algorithms based on online reviews and probabilistic linguistic term sets. - Chunsheng Cui; Meng Wei; Libin Che; Shouwen Wu; Erwei Wang (Expert Syst. Appl., 2022)

Generated Data for the Manuscript "Nonideality-Aware Training for Accurate and Robust Low-Power Memristive Neural Networks". - Dovydas Joksas; Erwei Wang; Nikolaos Barmpatsalos; Wing H. Ng; Anthony J. Kenyon; George A. Constantinides; Adnan Mehonic (Zenodo, 2022)

Enabling Binary Neural Network Training on the Edge. - Erwei Wang; James J. Davis 001; Daniele Moro; Piotr Zielinski; Jia Jie Lim; Claudionor Coelho; Satrajit Chatterjee; Peter Y. K. Cheung; George A. Constantinides (ACM Trans. Embed. Comput. Syst., 2023)

Logic Shrinkage: Learned Connectivity Sparsification for LUT-Based Neural Networks. - Erwei Wang; Marie Auffret; Georgios-Ilias Stavrou; Peter Y. K. Cheung; George A. Constantinides; Mohamed S. Abdelfattah; James J. Davis 001 (ACM Trans. Reconfigurable Technol. Syst., 2023)