Tao Luo

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 24

Top Topics

Statistical Modeling

Reliability Analysis

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

IEEE Trans. Computers

IEEE Trans. Very Large Scale Integr. Syst.

Publications

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)
Zhehui Wang, Xiaozhe Gu, Rick Siow Mong Goh, Joey Tianyi Zhou, Tao Luo
Efficient Spiking Neural Networks With Radix Encoding. IEEE Trans. Neural Networks Learn. Syst. 35 (3) (2024)
Bin Gao, Zhehui Wang, Zhuomin He, Tao Luo, Weng-Fai Wong, Zhi Zhou
IMI: In-memory Multi-job Inference Acceleration for Large Language Models. ICPP (2024)
Yan Wang, Liangli Zhen, Jianwei Zhang, Miqing Li, Lei Zhang, Zizhou Wang, Yangqin Feng, Yu Xue, Xiao Wang, Zheng Chen, Tao Luo, Rich Siow Mong Goh, Yong Liu
MedNAS: Multiscale Training-Free Neural Architecture Search for Medical Image Analysis. IEEE Trans. Evol. Comput. 28 (3) (2024)
Zongbo Han, Tao Luo, Huazhu Fu, Qinghua Hu, Joey Tianyi Zhou, Changqing Zhang
A principled framework for explainable multimodal disentanglement. Inf. Sci. 675 (2024)
Daniel Gerlinghoff, Benjamin Chen Ming Choong, Rick Siow Mong Goh, Weng-Fai Wong, Tao Luo
Table-Lookup MAC: Scalable Processing of Quantised Neural Networks in FPGA Soft Logic. CoRR (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)
Yu Xue, Weinan Tong, Ferrante Neri, Peng Chen, Tao Luo, Liangli Zhen, Xiao Wang
Evolutionary Architecture Search for Generative Adversarial Networks Based on Weight Sharing. IEEE Trans. Evol. Comput. 28 (3) (2024)
Daniel Gerlinghoff, Benjamin Chen Ming Choong, Rick Siow Mong Goh, Weng-Fai Wong, Tao Luo
Table-Lookup MAC: Scalable Processing of Quantised Neural Networks in FPGA Soft Logic. FPGA (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)