Tao Luo

82 papers A* 3A 7B 3Journal 60Unranked 8
YearRankTypeTitle / 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
Enabling Energy-Efficient Deployment of Large Language Models on Memristor Crossbar: A Synergy of Large and Small.
IEEE Trans. Pattern Anal. Mach. Intell.
Zhehui Wang, Tao Luo, Cheng Liu, Weichen Liu, Rick Siow Mong Goh, Weng-Fai Wong
2025 J jnl
Hardware-software co-exploration with racetrack memory based in-memory computing for CNN inference in embedded systems.
CoRR
Benjamin Chen Ming Choong, Tao Luo, Cheng Liu, Bingsheng He, Wei Zhang, Joey Tianyi Zhou
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
2025 J jnl
Neural Architecture Search with Progressive Evaluation and Subpopulation Preservation.
IEEE Trans. Evol. Comput.
Yu Xue, Jiajie Zha, Danilo Pelusi, Peng Chen, Tao Luo, Liangli Zhen, Yan Wang, Mohamed Wahib
2025 A conf
Optimizing Neural Networks with Learnable Non-Linear Activation Functions via Lookup-Based FPGA Acceleration.
ICCAD
Mengyuan Yin, Benjamin Chen Ming Choong, Chuping Qu, Rick Siow Mong Goh, Weng-Fai Wong, Tao Luo
2025 J jnl
Optimizing Neural Networks with Learnable Non-Linear Activation Functions via Lookup-Based FPGA Acceleration.
CoRR
Mengyuan Yin, Benjamin Chen Ming Choong, Chuping Qu, Rick Siow Mong Goh, Weng-Fai Wong, Tao Luo
2025 J jnl
Otters: An Energy-Efficient SpikingTransformer via Optical Time-to-First-Spike Encoding.
CoRR
Zhanglu Yan, Jiayi Mao, Qianhui Liu, Fanfan Li, Gang Pan, Tao Luo, Bowen Zhu, Weng-Fai Wong
2025 J jnl
Paradigm Shift in Infrastructure Inspection Technology: Leveraging High-performance Imaging and Advanced AI Analytics to Inspect Road Infrastructure.
CoRR
Du Wu, Enzhi Zhang, Isaac Lyngaas, Xiao Wang, Amir Ziabari, Tao Luo, Peng Chen, Kento Sato, Fumiyoshi Shoji, Takaki Hatsui, Kentaro Uesugi, Akira Seo, Yasuhito Sakai, Toshio Endo, Tetsuya Ishikawa, Satoshi Matsuoka, Mohamed Wahib
2025 J jnl
RBFleX-NAS: Training-Free Neural Architecture Search Using Radial Basis Function Kernel and Hyperparameter Detection.
IEEE Trans. Neural Networks Learn. Syst.
Tomomasa Yamasaki, Zhehui Wang, Tao Luo, Niangjun Chen, Bo Wang
2025 J jnl
Self-distillation with model averaging.
Inf. Sci.
Xiaozhe Gu, Zixun Zhang, Ran Jin, Rick Siow Mong Goh, Tao Luo
2025 A* conf
VQA4CIR: Boosting Composed Image Retrieval with Visual Question Answering.
AAAI
Chun-Mei Feng, Yang Bai, Tao Luo, Zhen Li, Salman H. Khan, Wangmeng Zuo, Rick Siow Mong Goh, Yong Liu
2024 J jnl
A principled framework for explainable multimodal disentanglement.
Inf. Sci.
Zongbo Han, Tao Luo, Huazhu Fu, Qinghua Hu, Joey Tianyi Zhou, Changqing Zhang
2024 J jnl
EDCompress: Energy-Aware Model Compression for Dataflows.
IEEE Trans. Neural Networks Learn. Syst.
Zhehui Wang, Tao Luo, Rick Siow Mong Goh, Joey Tianyi Zhou
2024 J jnl
Efficient Spiking Neural Networks With Radix Encoding.
IEEE Trans. Neural Networks Learn. Syst.
Zhehui Wang, Xiaozhe Gu, Rick Siow Mong Goh, Joey Tianyi Zhou, Tao Luo
2024 J jnl
Enabling Energy-Efficient Deployment of Large Language Models on Memristor Crossbar: A Synergy of Large and Small.
CoRR
Zhehui Wang, Tao Luo, Cheng Liu, Weichen Liu, Rick Siow Mong Goh, Weng-Fai Wong
2024 J jnl
Evolutionary Architecture Search for Generative Adversarial Networks Based on Weight Sharing.
IEEE Trans. Evol. Comput.
Yu Xue, Weinan Tong, Ferrante Neri, Peng Chen, Tao Luo, Liangli Zhen, Xiao Wang
2024 J jnl
Hierarchical Weight Averaging for Deep Neural Networks.
IEEE Trans. Neural Networks Learn. Syst.
Xiaozhe Gu, Zixun Zhang, Yuncheng Jiang, Tao Luo, Ruimao Zhang, Shuguang Cui, Zhen Li
2024 B conf
IMI: In-memory Multi-job Inference Acceleration for Large Language Models.
ICPP
Bin Gao, Zhehui Wang, Zhuomin He, Tao Luo, Weng-Fai Wong, Zhi Zhou
2024 J jnl
MedNAS: Multiscale Training-Free Neural Architecture Search for Medical Image Analysis.
IEEE Trans. Evol. Comput.
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
2024 J jnl
Optimizing for In-Memory Deep Learning With Emerging Memory Technology.
IEEE Trans. Neural Networks Learn. Syst.
Zhehui Wang, Tao Luo, Rick Siow Mong Goh, Wei Zhang, Weng-Fai Wong
2024 — conf
ProGBA: Prompt Guided Bayesian Augmentation for Zero-Shot Domain Adaptation.
ECCV Workshops (7)
Jian Zou, Guanglei Yang, Tao Luo, Chun-Mei Feng, Wangmeng Zuo
2024 J jnl
RCT: Resource Constrained Training for Edge AI.
IEEE Trans. Neural Networks Learn. Syst.
Tian Huang, Tao Luo, Ming Yan, Joey Tianyi Zhou, Rick Siow Mong Goh
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
2024 — conf
UniM
ECCV (22)
Jian Zou, Tianyu Huang, Guanglei Yang, Zhenhua Guo, Tao Luo, Chun-Mei Feng, Wangmeng Zuo
2024 A conf
autoGEMM: Pushing the Limits of Irregular Matrix Multiplication on Arm Architectures.
SC
Du Wu, Jintao Meng, Wenxi Zhu, Minwen Deng, Xiao Wang, Tao Luo, Mohamed Wahib, Yanjie Wei
2023 J jnl
Accelerating Deformable Convolution Networks with Dynamic and Irregular Memory Accesses.
ACM Trans. Design Autom. Electr. Syst.
Cheng Chu, Cheng Liu, Dawen Xu, Ying Wang, Tao Luo, Huawei Li, Xiaowei Li
2023 J jnl
Achieving Green AI with Energy-Efficient Deep Learning Using Neuromorphic Computing.
Commun. ACM
Tao Luo, Weng-Fai Wong, Rick Siow Mong Goh, Anh Tuan Do, Zhixian Chen, Haizhou Li, Wenyu Jiang, Weiyun Yau
2023 B conf
An Efficient Sparse LSTM Accelerator on Embedded FPGAs with Bandwidth-Oriented Pruning.
FPL
Shiqing Li, Shien Zhu, Xiangzhong Luo, Tao Luo, Weichen Liu
2023 J jnl
ApproxABFT: Approximate Algorithm-Based Fault Tolerance for Vision Transformers.
CoRR
Xinghua Xue, Cheng Liu, Haitong Huang, Ying Wang, Bing Yang, Tao Luo, Lei Zhang, Huawei Li, Xiaowei Li
2023 J jnl
Benchmarking Quantum(-Inspired) Annealing Hardware on Practical Use Cases.
IEEE Trans. Computers
Tian Huang, Jun Xu, Tao Luo, Xiaozhe Gu, Rick Siow Mong Goh, Weng-Fai Wong
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
2023 J jnl
Exploring Winograd Convolution for Cost-Effective Neural Network Fault Tolerance.
IEEE Trans. Very Large Scale Integr. Syst.
Xinghua Xue, Cheng Liu, Bo Liu, Haitong Huang, Ying Wang, Tao Luo, Lei Zhang, Huawei Li, Xiaowei Li
2023 J jnl
Exploring Winograd Convolution for Cost-effective Neural Network Fault Tolerance.
CoRR
Xinghua Xue, Cheng Liu, Bo Liu, Haitong Huang, Ying Wang, Tao Luo, Lei Zhang, Huawei Li, Xiaowei Li
2023 A* conf
MA-BERT: Towards Matrix Arithmetic-only BERT Inference by Eliminating Complex Non-Linear Functions.
ICLR
Neo Wei Ming, Zhehui Wang, Cheng Liu, Rick Siow Mong Goh, Tao Luo
2023 J jnl
Reliability Analysis of Vision Transformers.
CoRR
Xinghua Xue, Cheng Liu, Ying Wang, Bing Yang, Tao Luo, Lei Zhang, Huawei Li, Xiaowei Li
2023 J jnl
Simeuro: A Hybrid CPU-GPU Parallel Simulator for Neuromorphic Computing Chips.
IEEE Trans. Parallel Distributed Syst.
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
2023 J jnl
Soft Error Reliability Analysis of Vision Transformers.
IEEE Trans. Very Large Scale Integr. Syst.
Xinghua Xue, Cheng Liu, Ying Wang, Bing Yang, Tao Luo, Lei Zhang, Huawei Li, Xiaowei Li
2023 J jnl
Statistical Modeling of Soft Error Influence on Neural Networks.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Haitong Huang, Xinghua Xue, Cheng Liu, Ying Wang, Tao Luo, Long Cheng, Huawei Li, Xiaowei Li
2023 J jnl
Ultra-Long Sequence Distributed Transformer.
CoRR
Xiao Wang, Isaac Lyngaas, Aristeidis Tsaris, Peng Chen, Sajal Dash, Mayanka Chandra Shekar, Tao Luo, Hong-Jun Yoon, Mohamed Wahib, John Gounley
2023 J jnl
VQA4CIR: Boosting Composed Image Retrieval with Visual Question Answering.
CoRR
Chun-Mei Feng, Yang Bai, Tao Luo, Zhen Li, Salman Khan, Wangmeng Zuo, Xinxing Xu, Rick Siow Mong Goh, Yong Liu
2023 J jnl
When quantum annealing meets multitasking: Potentials, challenges and opportunities.
Array
Tian Huang, Yongxin Zhu, Rick Siow Mong Goh, Tao Luo
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
APT: The master-copy-free training method for quantised neural network on edge devices.
J. Parallel Distributed Comput.
Tian Huang, Tao Luo, Joey Tianyi Zhou
2022 J jnl
Benchmarking Quantum(-inspired) Annealing Hardware on Practical Use Cases.
CoRR
Tian Huang, Jun Xu, Tao Luo, Xiaozhe Gu, Rick Siow Mong Goh, Weng-Fai Wong
2022 J jnl
Coreset: Hierarchical neuromorphic computing supporting large-scale neural networks with improved resource efficiency.
Neurocomputing
Liwei Yang, Huaipeng Zhang, Tao Luo, Chuping Qu, Myat Thu Linn Aung, Yingnan Cui, Jun Zhou, Ming Ming Wong, Junran Pu, Anh Tuan Do, Rick Siow Mong Goh, Weng-Fai Wong
2022 J jnl
Corrigendum to "Coreset: Hierarchical neuromorphic computing supporting large-scale neural networks with improved resource efficiency" [Neurocomputing (2022) 128-140].
Neurocomputing
Liwei Yang, Huaipeng Zhang, Tao Luo, Chuping Qu, Myat Thu Linn Aung, Yingnan Cui, Jun Zhou, Ming Ming Wong, Junran Pu, Anh Tuan Do, Rick Siow Mong Goh, Weng-Fai Wong
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
2022 J jnl
Hardware-software co-exploration with racetrack memory based in-memory computing for CNN inference in embedded systems.
J. Syst. Archit.
Benjamin Chen Ming Choong, Tao Luo, Cheng Liu, Bingsheng He, Wei Zhang, Joey Tianyi Zhou
2022 J jnl
NC-Net: Efficient Neuromorphic Computing Using Aggregated Subnets on a Crossbar-Based Architecture With Nonvolatile Memory.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Tao Luo, Liwei Yang, Huaipeng Zhang, Chuping Qu, Xuan Wang, Yingnan Cui, Weng-Fai Wong, Rick Siow Mong Goh
2022 J jnl
Statistical Modeling of Soft Error Influence on Neural Networks.
CoRR
Haitong Huang, Xinghua Xue, Cheng Liu, Ying Wang, Tao Luo, Long Cheng, Huawei Li, Xiaowei Li
2022 — conf
Temperature Annealing Knowledge Distillation from Averaged Teacher.
ICDCS Workshops
Xiaozhe Gu, Zixun Zhang, Tao Luo
2022 J jnl
Winograd Convolution: A Perspective from Fault Tolerance.
CoRR
Xinghua Xue, Haitong Huang, Cheng Liu, Ying Wang, Tao Luo, Lei Zhang
2022 A* conf
Winograd convolution: a perspective from fault tolerance.
DAC
Xinghua Xue, Haitong Huang, Cheng Liu, Tao Luo, Lei Zhang, Ying Wang
2021 J jnl
DTNN: Energy-efficient Inference with Dendrite Tree Inspired Neural Networks for Edge Vision Applications.
CoRR
Tao Luo, Wai Teng Tang, Matthew Kay Fei Lee, Chuping Qu, Weng-Fai Wong, Rick Siow Mong Goh
2021 B conf
DeepFire: Acceleration of Convolutional Spiking Neural Network on Modern Field Programmable Gate Arrays.
FPL
Myat Thu Linn Aung, Chuping Qu, Liwei Yang, Tao Luo, Rick Siow Mong Goh, Weng-Fai Wong
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
2021 J jnl
Efficient Spiking Neural Networks with Radix Encoding.
CoRR
Zhehui Wang, Xiaozhe Gu, Rick Siow Mong Goh, Joey Tianyi Zhou, Tao Luo
2021 J jnl
Evolutionary Multi-Objective Model Compression for Deep Neural Networks.
IEEE Comput. Intell. Mag.
Zhehui Wang, Tao Luo, Miqing Li, Joey Tianyi Zhou, Rick Siow Mong Goh, Liangli Zhen
2021 J jnl
Optimizing for In-memory Deep Learning with Emerging Memory Technology.
CoRR
Zhehui Wang, Tao Luo, Rick Siow Mong Goh, Wei Zhang, Weng-Fai Wong
2021 J jnl
QROSS: QUBO Relaxation Parameter Optimisation via Learning Solver Surrogates.
CoRR
Tian Huang, Siong Thye Goh, Sabrish Gopalakrishnan, Tao Luo, Qianxiao Li, Hoong Chuin Lau
2021 — conf
QROSS: QUBO Relaxation Parameter optimisation via Learning Solver Surrogates.
ICDCS Workshops
Tian Huang, Siong Thye Goh, Sabrish Gopalakrishnan, Tao Luo, Qianxiao Li, Hoong Chuin Lau
2021 J jnl
RCT: Resource Constrained Training for Edge AI.
CoRR
Tian Huang, Tao Luo, Ming Yan, Joey Tianyi Zhou, Rick Siow Mong Goh
2020 — conf
0.5V 4.8 pJ/SOP 0.93µW Leakage/core Neuromorphic Processor with Asynchronous NoC and Reconfigurable LIF Neuron.
A-SSCC
Vishnu P. Nambiar, Junran Pu, Yun Kwan Lee, Aarthy Mani, Tao Luo, L. Yang, Eng-Kiat Koh, Ming Ming Wong, Fei Li, Wang Ling Goh, Anh Tuan Do
2020 A conf
Adaptive Precision Training for Resource Constrained Devices.
ICDCS
Tian Huang, Tao Luo, Joey Tianyi Zhou
2020 J jnl
Adaptive Precision Training for Resource Constrained Devices.
CoRR
Tian Huang, Tao Luo, Joey Tianyi Zhou
2020 J jnl
An FPGA-Based Hardware Emulator for Neuromorphic Chip With RRAM.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Tao Luo, Xuan Wang, Chuping Qu, Matthew Kay Fei Lee, Wai Teng Tang, Weng-Fai Wong, Rick Siow Mong Goh
2020 J jnl
EDCompress: Energy-Aware Model Compression with Dataflow.
CoRR
Zhehui Wang, Tao Luo, Joey Tianyi Zhou, Rick Siow Mong Goh
2020 A conf
Energy Efficient In-memory Integer Multiplication Based on Racetrack Memory.
ICDCS
Tao Luo, Wei Zhang, Bingsheng He, Cheng Liu, Douglas L. Maskell
2020 — conf
NCPower: Power Modelling for NVM-based Neuromorphic Chip.
ICONS
Zhehui Wang, Huaipeng Zhang, Tao Luo, Weng-Fai Wong, Anh-Tuan Do, Paramasivam Vishnu, Wei Zhang, Rick Siow Mong Goh
2019 J jnl
A System-Level Simulator for RRAM-Based Neuromorphic Computing Chips.
ACM Trans. Archit. Code Optim.
Matthew Kay Fei Lee, Yingnan Cui, Thannirmalai Somu, Tao Luo, Jun Zhou, Wai Teng Tang, Weng-Fai Wong, Rick Siow Mong Goh
2018 — —
Racetrack memory based logic design for in-memory computing
Tao Luo
2017 J jnl
A Hybrid Logic Block Architecture in FPGA for Holistic Efficiency.
IEEE Trans. Circuits Syst. II Express Briefs
Tao Luo, Hao Liang, Wei Zhang, Bingsheng He, Douglas L. Maskell
2017 A conf
A novel two-stage modular multiplier based on racetrack memory for asymmetric cryptography.
ICCAD
Tao Luo, Bingsheng He, Wei Zhang, Douglas L. Maskell
2016 — conf
A racetrack memory based in-memory booth multiplier for cryptography application.
ASP-DAC
Tao Luo, Wei Zhang, Bingsheng He, Douglas L. Maskell
2016 J jnl
Cost-efficient Acceleration of Hardware Trojan Detection Through Fan-Out Cone Analysis and Weighted Random Pattern Technique.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Bin Zhou, Wei Zhang, Thambipillai Srikanthan, Jason Teo Kian Jin, Vivek Chaturvedi, Tao Luo
2015 — conf
Hierarchical Library Based Power Estimator for Versatile FPGAs.
MCSoC
Hao Liang, Yi-Chung Chen, Tao Luo, Wei Zhang, Hai Li, Bingsheng He