Hierarchical Library Based Power Estimator for Versatile FPGAs. - Hao Liang 003; Yi-Chung Chen; Tao Luo 014; Wei Zhang 012; Hai Li 001; Bingsheng He (MCSoC, 2015)

A racetrack memory based in-memory booth multiplier for cryptography application. - Tao Luo 014; Wei Zhang 012; Bingsheng He; Douglas L. Maskell (ASP-DAC, 2016)

Cost-efficient Acceleration of Hardware Trojan Detection Through Fan-Out Cone Analysis and Weighted Random Pattern Technique. - Bin Zhou; Wei Zhang 012; Thambipillai Srikanthan; Jason Teo Kian Jin; Vivek Chaturvedi; Tao Luo 014 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2016)

A novel two-stage modular multiplier based on racetrack memory for asymmetric cryptography. - Tao Luo 014; Bingsheng He; Wei Zhang 012; Douglas L. Maskell (ICCAD, 2017)

A Hybrid Logic Block Architecture in FPGA for Holistic Efficiency. - Tao Luo 014; Hao Liang 003; Wei Zhang 012; Bingsheng He; Douglas L. Maskell (IEEE Trans. Circuits Syst. II Express Briefs, 2017)

Racetrack memory based logic design for in-memory computing - Tao Luo 014 (2018)

A System-Level Simulator for RRAM-Based Neuromorphic Computing Chips. - Matthew Kay Fei Lee; Yingnan Cui; Thannirmalai Somu; Tao Luo 014; Jun Zhou 014; Wai Teng Tang; Weng-Fai Wong; Rick Siow Mong Goh (ACM Trans. Archit. Code Optim., 2019)

0.5V 4.8 pJ/SOP 0.93µW Leakage/core Neuromorphic Processor with Asynchronous NoC and Reconfigurable LIF Neuron. - Vishnu P. Nambiar; Junran Pu; Yun Kwan Lee; Aarthy Mani; Tao Luo 014; L. Yang; Eng-Kiat Koh; Ming Ming Wong; Fei Li 015; Wang Ling Goh; Anh Tuan Do (A-SSCC, 2020)

Adaptive Precision Training for Resource Constrained Devices. - Tian Huang; Tao Luo 014; Joey Tianyi Zhou (ICDCS, 2020)

Energy Efficient In-memory Integer Multiplication Based on Racetrack Memory. - Tao Luo 014; Wei Zhang 012; Bingsheng He; Cheng Liu 008; Douglas L. Maskell (ICDCS, 2020)

NCPower: Power Modelling for NVM-based Neuromorphic Chip. - Zhehui Wang; Huaipeng Zhang; Tao Luo 014; Weng-Fai Wong; Anh-Tuan Do; Paramasivam Vishnu; Wei Zhang 012; Rick Siow Mong Goh (ICONS, 2020)

EDCompress: Energy-Aware Model Compression with Dataflow. - Zhehui Wang; Tao Luo 014; Joey Tianyi Zhou; Rick Siow Mong Goh (CoRR, 2020)

An FPGA-Based Hardware Emulator for Neuromorphic Chip With RRAM. - Tao Luo 014; Xuan Wang; Chuping Qu; Matthew Kay Fei Lee; Wai Teng Tang; Weng-Fai Wong; Rick Siow Mong Goh (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020)

DeepFire: Acceleration of Convolutional Spiking Neural Network on Modern Field Programmable Gate Arrays. - Myat Thu Linn Aung; Chuping Qu; Liwei Yang; Tao Luo 014; Rick Siow Mong Goh; Weng-Fai Wong (FPL, 2021)

QROSS: QUBO Relaxation Parameter optimisation via Learning Solver Surrogates. - Tian Huang; Siong Thye Goh; Sabrish Gopalakrishnan; Tao Luo 014; Qianxiao Li; Hoong Chuin Lau (ICDCS Workshops, 2021)

Evolutionary Multi-Objective Model Compression for Deep Neural Networks. - Zhehui Wang; Tao Luo 014; Miqing Li; Joey Tianyi Zhou; Rick Siow Mong Goh; Liangli Zhen (IEEE Comput. Intell. Mag., 2021)

DTNN: Energy-efficient Inference with Dendrite Tree Inspired Neural Networks for Edge Vision Applications. - Tao Luo 014; Wai Teng Tang; Matthew Kay Fei Lee; Chuping Qu; Weng-Fai Wong; Rick Siow Mong Goh (CoRR, 2021)

Winograd convolution: a perspective from fault tolerance. - Xinghua Xue; Haitong Huang; Cheng Liu 008; Tao Luo 014; Lei Zhang 008; Ying Wang 001 (DAC, 2022)

A Resource-efficient Spiking Neural Network Accelerator Supporting Emerging Neural Encoding. - Daniel Gerlinghoff; Zhehui Wang; Xiaozhe Gu; Rick Siow Mong Goh; Tao Luo 014 (DATE, 2022)

Temperature Annealing Knowledge Distillation from Averaged Teacher. - Xiaozhe Gu; Zixun Zhang; Tao Luo 014 (ICDCS Workshops, 2022)

Coreset: Hierarchical neuromorphic computing supporting large-scale neural networks with improved resource efficiency. - Liwei Yang; Huaipeng Zhang; Tao Luo 014; Chuping Qu; Myat Thu Linn Aung; Yingnan Cui; Jun Zhou 014; Ming Ming Wong; Junran Pu; Anh Tuan Do; Rick Siow Mong Goh; Weng-Fai Wong (Neurocomputing, 2022)

Corrigendum to "Coreset: Hierarchical neuromorphic computing supporting large-scale neural networks with improved resource efficiency" [Neurocomputing (2022) 128-140]. - Liwei Yang; Huaipeng Zhang; Tao Luo 014; Chuping Qu; Myat Thu Linn Aung; Yingnan Cui; Jun Zhou 014; Ming Ming Wong; Junran Pu; Anh Tuan Do; Rick Siow Mong Goh; Weng-Fai Wong (Neurocomputing, 2022)

APT: The master-copy-free training method for quantised neural network on edge devices. - Tian Huang; Tao Luo 014; Joey Tianyi Zhou (J. Parallel Distributed Comput., 2022)

Hardware-software co-exploration with racetrack memory based in-memory computing for CNN inference in embedded systems. - Benjamin Chen Ming Choong; Tao Luo 014; Cheng Liu 008; Bingsheng He; Wei Zhang 012; Joey Tianyi Zhou (J. Syst. Archit., 2022)

NC-Net: Efficient Neuromorphic Computing Using Aggregated Subnets on a Crossbar-Based Architecture With Nonvolatile Memory. - Tao Luo 014; Liwei Yang; Huaipeng Zhang; Chuping Qu; Xuan Wang; Yingnan Cui; Weng-Fai Wong; Rick Siow Mong Goh (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022)

E3NE: An End-to-End Framework for Accelerating Spiking Neural Networks With Emerging Neural Encoding on FPGAs. - Daniel Gerlinghoff; Zhehui Wang; Xiaozhe Gu; Rick Siow Mong Goh; Tao Luo 014 (IEEE Trans. Parallel Distributed Syst., 2022)

An Efficient Sparse LSTM Accelerator on Embedded FPGAs with Bandwidth-Oriented Pruning. - Shiqing Li; Shien Zhu; Xiangzhong Luo; Tao Luo 014; Weichen Liu (FPL, 2023)

MA-BERT: Towards Matrix Arithmetic-only BERT Inference by Eliminating Complex Non-Linear Functions. - Neo Wei Ming; Zhehui Wang; Cheng Liu 008; Rick Siow Mong Goh; Tao Luo 014 (ICLR, 2023)

Reliability Analysis of Vision Transformers. - Xinghua Xue; Cheng Liu 008; Ying Wang 001; Bing Yang; Tao Luo 014; Lei Zhang 008; Huawei Li 001; Xiaowei Li 001 (CoRR, 2023)

ApproxABFT: Approximate Algorithm-Based Fault Tolerance for Vision Transformers. - Xinghua Xue; Cheng Liu 008; Haitong Huang; Ying Wang 001; Bing Yang; Tao Luo 014; Lei Zhang 008; Huawei Li 001; Xiaowei Li 001 (CoRR, 2023)

Ultra-Long Sequence Distributed Transformer. - Xiao Wang 004; Isaac Lyngaas; Aristeidis Tsaris; Peng Chen 035; Sajal Dash; Mayanka Chandra Shekar; Tao Luo 014; Hong-Jun Yoon; Mohamed Wahib; John Gounley (CoRR, 2023)

VQA4CIR: Boosting Composed Image Retrieval with Visual Question Answering. - Chun-Mei Feng 001; Yang Bai; Tao Luo 014; Zhen Li 026; Salman Khan 001; Wangmeng Zuo; Xinxing Xu; Rick Siow Mong Goh; Yong Liu 026 (CoRR, 2023)

When quantum annealing meets multitasking: Potentials, challenges and opportunities. - Tian Huang; Yongxin Zhu 001; Rick Siow Mong Goh; Tao Luo 014 (Array, 2023)

Benchmarking Quantum(-Inspired) Annealing Hardware on Practical Use Cases. - Tian Huang; Jun Xu; Tao Luo 014; Xiaozhe Gu; Rick Siow Mong Goh; Weng-Fai Wong (IEEE Trans. Computers, 2023)

Achieving Green AI with Energy-Efficient Deep Learning Using Neuromorphic Computing. - Tao Luo 014; Weng-Fai Wong; Rick Siow Mong Goh; Anh Tuan Do; Zhixian Chen; Haizhou Li 001; Wenyu Jiang; Weiyun Yau (Commun. ACM, 2023)

Accelerating Deformable Convolution Networks with Dynamic and Irregular Memory Accesses. - Cheng Chu; Cheng Liu 008; Dawen Xu 002; Ying Wang 001; Tao Luo 014; Huawei Li 001; Xiaowei Li 001 (ACM Trans. Design Autom. Electr. Syst., 2023)

DeepFire2: A Convolutional Spiking Neural Network Accelerator on FPGAs. - Myat Thu Linn Aung; Daniel Gerlinghoff; Chuping Qu; Liwei Yang; Tian Huang; Rick Siow Mong Goh; Tao Luo 014; Weng-Fai Wong (IEEE Trans. Computers, 2023)

Simeuro: A Hybrid CPU-GPU Parallel Simulator for Neuromorphic Computing Chips. - Huaipeng Zhang; Nhut-Minh Ho; Dogukan Yigit Polat; Peng Chen 035; Mohamed Wahib; Truong Thao Nguyen; Jintao Meng 001; Rick Siow Mong Goh; Satoshi Matsuoka; Tao Luo 014; Weng-Fai Wong (IEEE Trans. Parallel Distributed Syst., 2023)

Statistical Modeling of Soft Error Influence on Neural Networks. - Haitong Huang; Xinghua Xue; Cheng Liu 008; Ying Wang 001; Tao Luo 014; Long Cheng 003; Huawei Li 001; Xiaowei Li 001 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2023)

Exploring Winograd Convolution for Cost-Effective Neural Network Fault Tolerance. - Xinghua Xue; Cheng Liu 008; Bo Liu 018; Haitong Huang; Ying Wang 001; Tao Luo 014; Lei Zhang 008; Huawei Li 001; Xiaowei Li 001 (IEEE Trans. Very Large Scale Integr. Syst., 2023)

Desire backpropagation: A lightweight training algorithm for multi-layer spiking neural networks based on spike-timing-dependent plasticity. - Daniel Gerlinghoff; Tao Luo 014; Rick Siow Mong Goh; Weng-Fai Wong (Neurocomputing, 2023)

Soft Error Reliability Analysis of Vision Transformers. - Xinghua Xue; Cheng Liu 008; Ying Wang 001; Bing Yang; Tao Luo 014; Lei Zhang 008; Huawei Li 001; Xiaowei Li 001 (IEEE Trans. Very Large Scale Integr. Syst., 2023)

UniM2AE: Multi-modal Masked Autoencoders with Unified 3D Representation for 3D Perception in Autonomous Driving. - Jian Zou 005; Tianyu Huang; Guanglei Yang; Zhenhua Guo 001; Tao Luo 014; Chun-Mei Feng 001; Wangmeng Zuo (ECCV (22), 2024)

ProGBA: Prompt Guided Bayesian Augmentation for Zero-Shot Domain Adaptation. - Jian Zou 005; Guanglei Yang; Tao Luo 014; Chun-Mei Feng 001; Wangmeng Zuo (ECCV Workshops (7), 2024)

Table-Lookup MAC: Scalable Processing of Quantised Neural Networks in FPGA Soft Logic. - Daniel Gerlinghoff; Benjamin Chen Ming Choong; Rick Siow Mong Goh; Weng-Fai Wong; Tao Luo 014 (FPGA, 2024)

IMI: In-memory Multi-job Inference Acceleration for Large Language Models. - Bin Gao; Zhehui Wang; Zhuomin He; Tao Luo 014; Weng-Fai Wong; Zhi Zhou 006 (ICPP, 2024)

autoGEMM: Pushing the Limits of Irregular Matrix Multiplication on Arm Architectures. - Du Wu; Jintao Meng 001; Wenxi Zhu; Minwen Deng; Xiao Wang 004; Tao Luo 014; Mohamed Wahib; Yanjie Wei (SC, 2024)

A principled framework for explainable multimodal disentanglement. - Zongbo Han; Tao Luo 014; Huazhu Fu; Qinghua Hu; Joey Tianyi Zhou; Changqing Zhang (Inf. Sci., 2024)

EDCompress: Energy-Aware Model Compression for Dataflows. - Zhehui Wang; Tao Luo 014; Rick Siow Mong Goh; Joey Tianyi Zhou (IEEE Trans. Neural Networks Learn. Syst., 2024)

RCT: Resource Constrained Training for Edge AI. - Tian Huang; Tao Luo 014; Ming Yan 007; Joey Tianyi Zhou; Rick Siow Mong Goh (IEEE Trans. Neural Networks Learn. Syst., 2024)

Efficient Spiking Neural Networks With Radix Encoding. - Zhehui Wang; Xiaozhe Gu; Rick Siow Mong Goh; Joey Tianyi Zhou; Tao Luo 014 (IEEE Trans. Neural Networks Learn. Syst., 2024)

MedNAS: Multiscale Training-Free Neural Architecture Search for Medical Image Analysis. - Yan Wang 015; Liangli Zhen; Jianwei Zhang 016; Miqing Li; Lei Zhang 005; Zizhou Wang; Yangqin Feng; Yu Xue 003; Xiao Wang 004; Zheng Chen 012; Tao Luo 014; Rich Siow Mong Goh; et al. (IEEE Trans. Evol. Comput., 2024)

Evolutionary Architecture Search for Generative Adversarial Networks Based on Weight Sharing. - Yu Xue 003; Weinan Tong; Ferrante Neri; Peng Chen 035; Tao Luo 014; Liangli Zhen; Xiao Wang 004 (IEEE Trans. Evol. Comput., 2024)

Hierarchical Weight Averaging for Deep Neural Networks. - Xiaozhe Gu; Zixun Zhang; Yuncheng Jiang; Tao Luo 014; Ruimao Zhang; Shuguang Cui; Zhen Li 026 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Optimizing for In-Memory Deep Learning With Emerging Memory Technology. - Zhehui Wang; Tao Luo 014; Rick Siow Mong Goh; Wei Zhang 012; Weng-Fai Wong (IEEE Trans. Neural Networks Learn. Syst., 2024)

VQA4CIR: Boosting Composed Image Retrieval with Visual Question Answering. - Chun-Mei Feng 001; Yang Bai; Tao Luo 014; Zhen Li 026; Salman H. Khan 001; Wangmeng Zuo; Rick Siow Mong Goh; Yong Liu 026 (AAAI, 2025)

Self-distillation with model averaging. - Xiaozhe Gu; Zixun Zhang; Ran Jin; Rick Siow Mong Goh; Tao Luo 014 (Inf. Sci., 2025)

Enabling Energy-Efficient Deployment of Large Language Models on Memristor Crossbar: A Synergy of Large and Small. - Zhehui Wang; Tao Luo 014; Cheng Liu 008; Weichen Liu; Rick Siow Mong Goh; Weng-Fai Wong (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

Paradigm Shift in Infrastructure Inspection Technology: Leveraging High-performance Imaging and Advanced AI Analytics to Inspect Road Infrastructure. - Du Wu; Enzhi Zhang; Isaac Lyngaas; Xiao Wang 004; Amir Ziabari; Tao Luo 014; Peng Chen 035; Kento Sato; Fumiyoshi Shoji; Takaki Hatsui; Kentaro Uesugi; Akira Seo; et al. (CoRR, 2025)

RBFleX-NAS: Training-Free Neural Architecture Search Using Radial Basis Function Kernel and Hyperparameter Detection. - Tomomasa Yamasaki; Zhehui Wang; Tao Luo 014; Niangjun Chen; Bo Wang 020 (IEEE Trans. Neural Networks Learn. Syst., 2025)

Is quantum optimization ready? An effort towards neural network compression using adiabatic quantum computing. - Zhehui Wang; Benjamin Chen Ming Choong; Tian Huang; Daniel Gerlinghoff; Rick Siow Mong Goh; Cheng Liu 008; Tao Luo 014 (Future Gener. Comput. Syst., 2026)