Daniel Gerlinghoff

12 papers A 2Journal 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Is quantum optimization ready? An effort towards neural network compression using adiabatic quantum computing. Future Gener. Comput. Syst. Zhehui Wang, Benjamin Chen Ming Choong, Tian Huang, Daniel Gerlinghoff, Rick Siow Mong Goh, Cheng Liu, Tao Luo
2025	J	`jnl`	Is Quantum Optimization Ready? An Effort Towards Neural Network Compression using Adiabatic Quantum Computing. CoRR Zhehui Wang, Benjamin Chen Ming Choong, Tian Huang, Daniel Gerlinghoff, Rick Siow Mong Goh, Cheng Liu, Tao Luo
2024	A	`conf`	Table-Lookup MAC: Scalable Processing of Quantised Neural Networks in FPGA Soft Logic. FPGA Daniel Gerlinghoff, Benjamin Chen Ming Choong, Rick Siow Mong Goh, Weng-Fai Wong, Tao Luo
2024	J	`jnl`	Table-Lookup MAC: Scalable Processing of Quantised Neural Networks in FPGA Soft Logic. CoRR Daniel Gerlinghoff, Benjamin Chen Ming Choong, Rick Siow Mong Goh, Weng-Fai Wong, Tao Luo
2023	J	`jnl`	DeepFire2: A Convolutional Spiking Neural Network Accelerator on FPGAs. CoRR Myat Thu Linn Aung, Daniel Gerlinghoff, Chuping Qu, Liwei Yang, Tian Huang, Rick Siow Mong Goh, Tao Luo, Weng-Fai Wong
2023	J	`jnl`	DeepFire2: A Convolutional Spiking Neural Network Accelerator on FPGAs. IEEE Trans. Computers Myat Thu Linn Aung, Daniel Gerlinghoff, Chuping Qu, Liwei Yang, Tian Huang, Rick Siow Mong Goh, Tao Luo, Weng-Fai Wong
2023	J	`jnl`	Desire backpropagation: A lightweight training algorithm for multi-layer spiking neural networks based on spike-timing-dependent plasticity. Neurocomputing Daniel Gerlinghoff, Tao Luo, Rick Siow Mong Goh, Weng-Fai Wong
2022	A	`conf`	A Resource-efficient Spiking Neural Network Accelerator Supporting Emerging Neural Encoding. DATE Daniel Gerlinghoff, Zhehui Wang, Xiaozhe Gu, Rick Siow Mong Goh, Tao Luo
2022	J	`jnl`	A Resource-efficient Spiking Neural Network Accelerator Supporting Emerging Neural Encoding. CoRR Daniel Gerlinghoff, Zhehui Wang, Xiaozhe Gu, Rick Siow Mong Goh, Tao Luo
2022	J	`jnl`	Desire Backpropagation: A Lightweight Training Algorithm for Multi-Layer Spiking Neural Networks based on Spike-Timing-Dependent Plasticity. CoRR Daniel Gerlinghoff, Tao Luo, Rick Siow Mong Goh, Weng-Fai Wong
2022	J	`jnl`	E3NE: An End-to-End Framework for Accelerating Spiking Neural Networks With Emerging Neural Encoding on FPGAs. IEEE Trans. Parallel Distributed Syst. Daniel Gerlinghoff, Zhehui Wang, Xiaozhe Gu, Rick Siow Mong Goh, Tao Luo
2021	J	`jnl`	E3NE: An End-to-End Framework for Accelerating Spiking Neural Networks with Emerging Neural Encoding on FPGAs. CoRR Daniel Gerlinghoff, Zhehui Wang, Xiaozhe Gu, Rick Siow Mong Goh, Tao Luo