Erwei Wang - RankMe

26 papers A 1B 3Misc 2Journal 16Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	KernelCraft: Benchmarking for Agentic Close-to-Metal Kernel Generation on Emerging Hardware. CoRR Jiayi Nie, Haoran Wu, Yao Lai, Zeyu Cao, Cheng Zhang, Binglei Lou, Erwei Wang, Jianyi Cheng, Timothy M. Jones, Robert Mullins, Rika Antonova, Yiren Zhao
2025	J	`jnl`	From Loop Nests to Silicon: Mapping AI Workloads onto AMD NPUs with MLIR-AIR. CoRR Erwei Wang, Samuel Bayliss, Andra Bisca, Zachary Blair, Sangeeta Chowdhary, Kristof Denolf, Jeff Fifield, Brandon Freiberger, Erika Hunhoff, Phil James-Roxby, Jack Lo, Joseph Melber, Stephen Neuendorffer, Eddie Richter, Andre Roesti, Javier Setoain, Gagandeep Singh, Endri Taka, Pranathi Vasireddy, Zhewen Yu, Niansong Zhang, Jinming Zhuang
2023	J	`jnl`	Enabling Binary Neural Network Training on the Edge. ACM Trans. Embed. Comput. Syst. Erwei Wang, James J. Davis, Daniele Moro, Piotr Zielinski, Jia Jie Lim, Claudionor Coelho, Satrajit Chatterjee, Peter Y. K. Cheung, George A. Constantinides
2023	J	`jnl`	Logic Shrinkage: Learned Connectivity Sparsification for LUT-Based Neural Networks. ACM Trans. Reconfigurable Technol. Syst. Erwei Wang, Marie Auffret, Georgios-Ilias Stavrou, Peter Y. K. Cheung, George A. Constantinides, Mohamed S. Abdelfattah, James J. Davis
2022	B	`conf`	FPL Demo: Logic Shrinkage: A Neural Architecture Search-Based Approach to FPGA Netlist Generation. FPL Marie Auffret, Erwei Wang, James J. Davis
2022	J	`jnl`	Hotel recommendation algorithms based on online reviews and probabilistic linguistic term sets. Expert Syst. Appl. Chunsheng Cui, Meng Wei, Libin Che, Shouwen Wu, Erwei Wang
2022	A	`conf`	Logic Shrinkage: Learned FPGA Netlist Sparsity for Efficient Neural Network Inference. FPGA Erwei Wang, James J. Davis, Georgios-Ilias Stavrou, Peter Y. K. Cheung, George A. Constantinides, Mohamed S. Abdelfattah
2021	—	`conf`	Accelerating Recurrent Neural Networks for Gravitational Wave Experiments. ASAP 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
2021	J	`jnl`	Accelerating Recurrent Neural Networks for Gravitational Wave Experiments. CoRR 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
2021	—	`conf`	Enabling Binary Neural Network Training on the Edge. EMDL@MobiSys Erwei Wang, James J. Davis, Daniele Moro, Piotr Zielinski, Jia Jie Lim, Claudionor Coelho, Satrajit Chatterjee, Peter Y. K. Cheung, George A. Constantinides
2021	J	`jnl`	Enabling Binary Neural Network Training on the Edge. CoRR Erwei Wang, James J. Davis, Daniele Moro, Piotr Zielinski, Claudionor Coelho, Satrajit Chatterjee, Peter Y. K. Cheung, George A. Constantinides
2021	J	`jnl`	Logic Shrinkage: Learned FPGA Netlist Sparsity for Efficient Neural Network Inference. CoRR Erwei Wang, James J. Davis, Georgios-Ilias Stavrou, Peter Y. K. Cheung, George A. Constantinides, Mohamed S. Abdelfattah
2021	J	`jnl`	Nonideality-Aware Training for Accurate and Robust Low-Power Memristive Neural Networks. CoRR Dovydas Joksas, Erwei Wang, Nikolaos Barmpatsalos, Wing H. Ng, Anthony J. Kenyon, George A. Constantinides, Adnan Mehonic
2020	J	`jnl`	LUTNet: Learning FPGA Configurations for Highly Efficient Neural Network Inference. IEEE Trans. Computers Erwei Wang, James J. Davis, Peter Y. K. Cheung, George A. Constantinides
2019	B	`conf`	Accelerating Position-Aware Top-k ListNet for Ranking Under Custom Precision Regimes. FPL Qiang Li, Erwei Wang, Shane T. Fleming, David B. Thomas, Peter Y. K. Cheung
2019	—	`conf`	Automatic Generation of Multi-Precision Multi-Arithmetic CNN Accelerators for FPGAs. FPT Yiren Zhao, Xitong Gao, Xuan Guo, Junyi Liu, Erwei Wang, Robert Mullins, Peter Y. K. Cheung, George A. Constantinides, Cheng-Zhong Xu
2019	J	`jnl`	Automatic Generation of Multi-precision Multi-arithmetic CNN Accelerators for FPGAs. CoRR Yiren Zhao, Xitong Gao, Xuan Guo, Junyi Liu, Erwei Wang, Robert Mullins, Peter Y. K. Cheung, George A. Constantinides, Cheng-Zhong Xu
2019	J	`jnl`	Deep Neural Network Approximation for Custom Hardware: Where We've Been, Where We're Going. CoRR Erwei Wang, James J. Davis, Ruizhe Zhao, Ho-Cheung Ng, Xinyu Niu, Wayne Luk, Peter Y. K. Cheung, George A. Constantinides
2019	J	`jnl`	Deep Neural Network Approximation for Custom Hardware: Where We've Been, Where We're Going. ACM Comput. Surv. Erwei Wang, James J. Davis, Ruizhe Zhao, Ho-Cheung Ng, Xinyu Niu, Wayne Luk, Peter Y. K. Cheung, George A. Constantinides
2019	J	`jnl`	LUTNet: Learning FPGA Configurations for Highly Efficient Neural Network Inference. CoRR Erwei Wang, James J. Davis, Peter Y. K. Cheung, George A. Constantinides
2019	Misc	`conf`	LUTNet: Rethinking Inference in FPGA Soft Logic. FCCM Erwei Wang, James J. Davis, Peter Y. K. Cheung, George A. Constantinides
2019	J	`jnl`	LUTNet: Rethinking Inference in FPGA Soft Logic. CoRR Erwei Wang, James J. Davis, Peter Y. K. Cheung, George A. Constantinides
2018	Misc	`conf`	A PYNQ-Based Framework for Rapid CNN Prototyping. FCCM Erwei Wang, James J. Davis, Peter Y. K. Cheung
2018	B	`conf`	Edge Content Enhanced Network Embedding. ICTAI Hongcui Wang, Erwei Wang, Di Jin, Xiao Wang, Jing Wang, Dongxiao He
2018	—	`conf`	Hardware Compilation of Deep Neural Networks: An Overview. ASAP 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
2015	J	`jnl`	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 Erwei Wang, Qizong Wu