Erwei Wang

Publication Activity (10 Years)

Years Active: 2015-2023
Publications (10 Years): 24

Top Topics

Nonmonotonic Inference

Recommendation Algorithms

Top Venues

Publications

Erwei Wang, Marie Auffret, Georgios-Ilias Stavrou, Peter Y. K. Cheung, George A. Constantinides, Mohamed S. Abdelfattah, James J. Davis
Logic Shrinkage: Learned Connectivity Sparsification for LUT-Based Neural Networks. ACM Trans. Reconfigurable Technol. Syst. 16 (4) (2023)
Erwei Wang, James J. Davis, Daniele Moro, Piotr Zielinski, Jia Jie Lim, Claudionor Coelho, Satrajit Chatterjee, Peter Y. K. Cheung, George A. Constantinides
Enabling Binary Neural Network Training on the Edge. ACM Trans. Embed. Comput. Syst. 22 (6) (2023)
Chunsheng Cui, Meng Wei, Libin Che, Shouwen Wu, Erwei Wang
Hotel recommendation algorithms based on online reviews and probabilistic linguistic term sets. Expert Syst. Appl. 210 (2022)
Erwei Wang, James J. Davis, Georgios-Ilias Stavrou, Peter Y. K. Cheung, George A. Constantinides, Mohamed Abdelfattah
Logic Shrinkage: Learned FPGA Netlist Sparsity for Efficient Neural Network Inference. FPGA (2022)
Marie Auffret, Erwei Wang, James J. Davis
FPL Demo: Logic Shrinkage: A Neural Architecture Search-Based Approach to FPGA Netlist Generation. FPL (2022)
Dovydas Joksas, Erwei Wang, Nikolaos Barmpatsalos, Wing H. Ng, Anthony J. Kenyon, George A. Constantinides, Adnan Mehonic
Nonideality-Aware Training for Accurate and Robust Low-Power Memristive Neural Networks. CoRR (2021)
Erwei Wang, James J. Davis, Daniele Moro, Piotr Zielinski, Jia Jie Lim, Claudionor Coelho, Satrajit Chatterjee, Peter Y. K. Cheung, George A. Constantinides
Enabling Binary Neural Network Training on the Edge. EMDL@MobiSys (2021)
Erwei Wang, James J. Davis, Daniele Moro, Piotr Zielinski, Claudionor Coelho, Satrajit Chatterjee, Peter Y. K. Cheung, George A. Constantinides
Enabling Binary Neural Network Training on the Edge. CoRR (2021)
Erwei Wang, James J. Davis, Georgios-Ilias Stavrou, Peter Y. K. Cheung, George A. Constantinides, Mohamed Abdelfattah
Logic Shrinkage: Learned FPGA Netlist Sparsity for Efficient Neural Network Inference. CoRR (2021)
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, Wayne Luk
Accelerating Recurrent Neural Networks for Gravitational Wave Experiments. ASAP (2021)
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, Wayne Luk
Accelerating Recurrent Neural Networks for Gravitational Wave Experiments. CoRR (2021)
Erwei Wang, James J. Davis, Peter Y. K. Cheung, George A. Constantinides
LUTNet: Learning FPGA Configurations for Highly Efficient Neural Network Inference. IEEE Trans. Computers 69 (12) (2020)
Erwei Wang, James J. Davis, Peter Y. K. Cheung, George A. Constantinides
LUTNet: Learning FPGA Configurations for Highly Efficient Neural Network Inference. CoRR (2019)
Erwei Wang, James J. Davis, Peter Y. K. Cheung, George A. Constantinides
LUTNet: Rethinking Inference in FPGA Soft Logic. FCCM (2019)
Erwei Wang, James J. Davis, Peter Y. K. Cheung, George A. Constantinides
LUTNet: Rethinking Inference in FPGA Soft Logic. CoRR (2019)
Qiang Li, Erwei Wang, Shane T. Fleming, David B. Thomas, Peter Y. K. Cheung
Accelerating Position-Aware Top-k ListNet for Ranking Under Custom Precision Regimes. FPL (2019)
Erwei Wang, James J. Davis, Ruizhe Zhao, Ho-Cheung Ng, Xinyu Niu, Wayne Luk, Peter Y. K. Cheung, George A. Constantinides
Deep Neural Network Approximation for Custom Hardware: Where We've Been, Where We're Going. CoRR (2019)
Yiren Zhao, Xitong Gao, Xuan Guo, Junyi Liu, Erwei Wang, Robert D. Mullins, Peter Y. K. Cheung, George A. Constantinides, Cheng-Zhong Xu
Automatic Generation of Multi-Precision Multi-Arithmetic CNN Accelerators for FPGAs. FPT (2019)
Erwei Wang, James J. Davis, Ruizhe Zhao, Ho-Cheung Ng, Xinyu Niu, Wayne Luk, Peter Y. K. Cheung, George A. Constantinides
Deep Neural Network Approximation for Custom Hardware: Where We've Been, Where We're Going. ACM Comput. Surv. 52 (2) (2019)
Yiren Zhao, Xitong Gao, Xuan Guo, Junyi Liu, Erwei Wang, Robert D. Mullins, Peter Y. K. Cheung, George A. Constantinides, Cheng-Zhong Xu
Automatic Generation of Multi-precision Multi-arithmetic CNN Accelerators for FPGAs. CoRR (2019)
Erwei Wang, James J. Davis, Peter Y. K. Cheung
A PYNQ-Based Framework for Rapid CNN Prototyping. FCCM (2018)
Ruizhe Zhao, Shuanglong Liu, Ho-Cheung Ng, Erwei Wang, James J. Davis, Xinyu Niu, Xiwei Wang, Huifeng Shi, George A. Constantinides, Peter Y. K. Cheung, Wayne Luk
Hardware Compilation of Deep Neural Networks: An Overview. ASAP (2018)
Hongcui Wang, Erwei Wang, Di Jin, Xiao Wang, Jing Wang, Dongxiao He
Edge Content Enhanced Network Embedding. ICTAI (2018)
Erwei Wang, Qizong Wu
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). 计算机科学 42 (10) (2015)