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Tao Luo
ORCID
Publication Activity (10 Years)
Years Active: 2022-2024
Publications (10 Years): 17
Top Topics
Biologically Plausible
Statistical Model
Neural Network
Fault Tolerance
Top Venues
CoRR
IEEE Trans. Neural Networks Learn. Syst.
IEEE Trans. Computers
IEEE Trans. Very Large Scale Integr. Syst.
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Publications
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Zhehui Wang
,
Tao Luo
,
Rick Siow Mong Goh
,
Joey Tianyi Zhou
EDCompress: Energy-Aware Model Compression for Dataflows.
IEEE Trans. Neural Networks Learn. Syst.
35 (1) (2024)
Tian Huang
,
Tao Luo
,
Ming Yan
,
Joey Tianyi Zhou
,
Rick Siow Mong Goh
RCT: Resource Constrained Training for Edge AI.
IEEE Trans. Neural Networks Learn. Syst.
35 (2) (2024)
Tian Huang
,
Yongxin Zhu
,
Rick Siow Mong Goh
,
Tao Luo
When quantum annealing meets multitasking: Potentials, challenges and opportunities.
Array
17 (2023)
Myat Thu Linn Aung
,
Daniel Gerlinghoff
,
Chuping Qu
,
Liwei Yang
,
Tian Huang
,
Rick Siow Mong Goh
,
Tao Luo
,
Weng-Fai Wong
DeepFire2: A Convolutional Spiking Neural Network Accelerator on FPGAs.
CoRR
(2023)
Haitong Huang
,
Xinghua Xue
,
Cheng Liu
,
Ying Wang
,
Tao Luo
,
Long Cheng
,
Huawei Li
,
Xiaowei Li
Statistical Modeling of Soft Error Influence on Neural Networks.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
42 (11) (2023)
Xinghua Xue
,
Cheng Liu
,
Bo Liu
,
Haitong Huang
,
Ying Wang
,
Tao Luo
,
Lei Zhang
,
Huawei Li
,
Xiaowei Li
Exploring Winograd Convolution for Cost-Effective Neural Network Fault Tolerance.
IEEE Trans. Very Large Scale Integr. Syst.
31 (11) (2023)
Tian Huang
,
Jun Xu
,
Tao Luo
,
Xiaozhe Gu
,
Rick Siow Mong Goh
,
Weng-Fai Wong
Benchmarking Quantum(-Inspired) Annealing Hardware on Practical Use Cases.
IEEE Trans. Computers
72 (6) (2023)
Neo Wei Ming
,
Zhehui Wang
,
Cheng Liu
,
Rick Siow Mong Goh
,
Tao Luo
MA-BERT: Towards Matrix Arithmetic-only BERT Inference by Eliminating Complex Non-Linear Functions.
ICLR
(2023)
Cheng Chu
,
Cheng Liu
,
Dawen Xu
,
Ying Wang
,
Tao Luo
,
Huawei Li
,
Xiaowei Li
Accelerating Deformable Convolution Networks with Dynamic and Irregular Memory Accesses.
ACM Trans. Design Autom. Electr. Syst.
28 (4) (2023)
Xiao Wang
,
Isaac Lyngaas
,
Aristeidis Tsaris
,
Peng Chen
,
Sajal Dash
,
Mayanka Chandra Shekar
,
Tao Luo
,
Hong-Jun Yoon
,
Mohamed Wahib
,
John Gounley
Ultra-Long Sequence Distributed Transformer.
CoRR
(2023)
Tao Luo
,
Weng-Fai Wong
,
Rick Siow Mong Goh
,
Anh Tuan Do
,
Zhixian Chen
,
Haizhou Li
,
Wenyu Jiang
,
Weiyun Yau
Achieving Green AI with Energy-Efficient Deep Learning Using Neuromorphic Computing.
Commun. ACM
66 (7) (2023)
Xinghua Xue
,
Cheng Liu
,
Ying Wang
,
Bing Yang
,
Tao Luo
,
Lei Zhang
,
Huawei Li
,
Xiaowei Li
Soft Error Reliability Analysis of Vision Transformers.
IEEE Trans. Very Large Scale Integr. Syst.
31 (12) (2023)
Daniel Gerlinghoff
,
Tao Luo
,
Rick Siow Mong Goh
,
Weng-Fai Wong
Desire backpropagation: A lightweight training algorithm for multi-layer spiking neural networks based on spike-timing-dependent plasticity.
Neurocomputing
560 (2023)
Xinghua Xue
,
Cheng Liu
,
Bo Liu
,
Haitong Huang
,
Ying Wang
,
Tao Luo
,
Lei Zhang
,
Huawei Li
,
Xiaowei Li
Exploring Winograd Convolution for Cost-effective Neural Network Fault Tolerance.
CoRR
(2023)
Myat Thu Linn Aung
,
Daniel Gerlinghoff
,
Chuping Qu
,
Liwei Yang
,
Tian Huang
,
Rick Siow Mong Goh
,
Tao Luo
,
Weng-Fai Wong
DeepFire2: A Convolutional Spiking Neural Network Accelerator on FPGAs.
IEEE Trans. Computers
72 (10) (2023)
Huaipeng Zhang
,
Nhut-Minh Ho
,
Dogukan Yigit Polat
,
Peng Chen
,
Mohamed Wahib
,
Truong Thao Nguyen
,
Jintao Meng
,
Rick Siow Mong Goh
,
Satoshi Matsuoka
,
Tao Luo
,
Weng-Fai Wong
Simeuro: A Hybrid CPU-GPU Parallel Simulator for Neuromorphic Computing Chips.
IEEE Trans. Parallel Distributed Syst.
34 (10) (2023)
Xiaozhe Gu
,
Zixun Zhang
,
Tao Luo
Temperature Annealing Knowledge Distillation from Averaged Teacher.
ICDCS Workshops
(2022)