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Erwei Wang
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2020 – today
- 2023
- [j6]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): 105:1-105:19 (2023) - [j5]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): 57:1-57:25 (2023) - 2022
- [j4]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: 118503 (2022) - [c10]Erwei Wang, James J. Davis, Georgios-Ilias Stavrou, Peter Y. K. Cheung, George A. Constantinides, Mohamed S. Abdelfattah:
Logic Shrinkage: Learned FPGA Netlist Sparsity for Efficient Neural Network Inference. FPGA 2022: 101-111 - [c9]Marie Auffret, Erwei Wang, James J. Davis:
FPL Demo: Logic Shrinkage: A Neural Architecture Search-Based Approach to FPGA Netlist Generation. FPL 2022: 470 - [d2]Dovydas Joksas, Erwei Wang, Nikolaos Barmpatsalos, Wing H. Ng, Anthony J. Kenyon, George A. Constantinides, Adnan Mehonic:
Generated Data for the Manuscript "Nonideality-Aware Training for Accurate and Robust Low-Power Memristive Neural Networks". Version 1.1. Zenodo, 2022 [all versions] - 2021
- [c8]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: 117-124 - [c7]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: 37-38 - [d1]Dovydas Joksas, Erwei Wang, Nikolaos Barmpatsalos, Wing H. Ng, Anthony J. Kenyon, George A. Constantinides, Adnan Mehonic:
Generated Data for the Manuscript "Nonideality-Aware Training for Accurate and Robust Low-Power Memristive Neural Networks". Version 1.0. Zenodo, 2021 [all versions] - [i8]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 abs/2102.04270 (2021) - [i7]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 abs/2106.14089 (2021) - [i6]Erwei Wang, James J. Davis, Georgios-Ilias Stavrou, Peter Y. K. Cheung, George A. Constantinides, Mohamed S. Abdelfattah:
Logic Shrinkage: Learned FPGA Netlist Sparsity for Efficient Neural Network Inference. CoRR abs/2112.02346 (2021) - [i5]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 abs/2112.06887 (2021) - 2020
- [j3]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): 1795-1808 (2020)
2010 – 2019
- 2019
- [j2]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): 40:1-40:39 (2019) - [c6]Erwei Wang, James J. Davis, Peter Y. K. Cheung, George A. Constantinides:
LUTNet: Rethinking Inference in FPGA Soft Logic. FCCM 2019: 26-34 - [c5]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: 81-87 - [c4]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: 45-53 - [i4]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 abs/1901.06955 (2019) - [i3]Erwei Wang, James J. Davis, Peter Y. K. Cheung, George A. Constantinides:
LUTNet: Rethinking Inference in FPGA Soft Logic. CoRR abs/1904.00938 (2019) - [i2]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 abs/1910.10075 (2019) - [i1]Erwei Wang, James J. Davis, Peter Y. K. Cheung, George A. Constantinides:
LUTNet: Learning FPGA Configurations for Highly Efficient Neural Network Inference. CoRR abs/1910.12625 (2019) - 2018
- [c3]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: 1-8 - [c2]Erwei Wang, James J. Davis, Peter Y. K. Cheung:
A PYNQ-Based Framework for Rapid CNN Prototyping. FCCM 2018: 223 - [c1]Hongcui Wang, Erwei Wang, Di Jin, Xiao Wang, Jing Wang, Dongxiao He:
Edge Content Enhanced Network Embedding. ICTAI 2018: 900-907 - 2015
- [j1]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): 175-179 (2015)
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