We stand with Ukraine

We stand with Ukraine

Tao Li

Orcid: 0000-0003-1697-8022

Affiliations:

Nankai University, Tianjin, China

According to our database¹, Tao Li authored at least 85 papers between 2013 and 2024.

Collaborative distances:

Dijkstra number² of three.
Erdős number³ of three.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Links

Online presence:

on orcid.org

On csauthors.net:

Bibliography

2024

FedComm: A Privacy-Enhanced and Efficient Authentication Protocol for Federated Learning in Vehicular Ad-Hoc Networks.

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IEEE Trans. Inf. Forensics Secur., 2024

Memory-Efficient and Secure DNN Inference on TrustZone-enabled Consumer IoT Devices.

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CoRR, 2024

2023

H2Former: An Efficient Hierarchical Hybrid Transformer for Medical Image Segmentation.

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IEEE Trans. Medical Imaging, September, 2023

TSC-VEE: A TrustZone-Based Smart Contract Virtual Execution Environment.

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IEEE Trans. Parallel Distributed Syst., June, 2023

Unmixing Guided Unsupervised Network for RGB Spectral Super-Resolution.

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IEEE Trans. Image Process., 2023

An Imbalanced Discriminant Alignment Approach for Domain Adaptive SAR Ship Detection.

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IEEE Trans. Geosci. Remote. Sens., 2023

Toward Convergence: A Gradient-Based Multiobjective Method With Greedy Hash for Hyperspectral Unmixing.

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IEEE Trans. Geosci. Remote. Sens., 2023

LiCa: Label-Indicate-Conditional-Alignment Domain Generalization for Pixel-Wise Hyperspectral Imagery Classification.

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IEEE Trans. Geosci. Remote. Sens., 2023

UnDAT: Double-Aware Transformer for Hyperspectral Unmixing.

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IEEE Trans. Geosci. Remote. Sens., 2023

Dancing With Wolves: An Intra-Process Isolation Technique With Privileged Hardware.

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IEEE Trans. Dependable Secur. Comput., 2023

Be Bayesian by Attachments to Catch More Uncertainty.

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CoRR, 2023

DVPT: Dynamic Visual Prompt Tuning of Large Pre-trained Models for Medical Image Analysis.

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CoRR, 2023

AutoQNN: An End-to-End Framework for Automatically Quantizing Neural Networks.

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CoRR, 2023

2022

SmartVM: A Smart Contract Virtual Machine for Fast On-Chain DNN Computations.

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IEEE Trans. Parallel Distributed Syst., 2022

Elastic Significant Bit Quantization and Acceleration for Deep Neural Networks.

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IEEE Trans. Parallel Distributed Syst., 2022

Progressive Multiscale Consistent Network for Multiclass Fundus Lesion Segmentation.

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IEEE Trans. Medical Imaging, 2022

Deep Autoencoder for Hyperspectral Unmixing via Global-Local Smoothing.

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IEEE Trans. Geosci. Remote. Sens., 2022

A Multiobjective Group Sparse Hyperspectral Unmixing Method With High Correlation Library.

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IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022

ATOM: Architectural Support and Optimization Mechanism for Smart Contract Fast Update and Execution in Blockchain-Based IoT.

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IEEE Internet Things J., 2022

Progressive Multi-scale Consistent Network for Multi-class Fundus Lesion Segmentation.

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CoRR, 2022

Block-gram: Mining Knowledgeable Features for Smart Contract Vulnerability Detection.

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Proceedings of the Smart Computing and Communication - 7th International Conference, 2022

Long-Term Person Re-identification with Dramatic Appearance Change: Algorithm and Benchmark.

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Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

SAA: Scale-Aware Attention Block For Multi-Lesion Segmentation Of Fundus Images.

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Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

Web table data integration based on smart campus scenarios to resolve name disambiguation of scientific research personnel.

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Proceedings of the 46th IEEE Annual Computers, Software, and Applications Conferenc, 2022

2021

Fast Policy Interpretation and Dynamic Conflict Resolution for Blockchain-Based IoT System.

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Wirel. Commun. Mob. Comput., 2021

A Thread Level SLO-Aware I/O Framework for Embedded Virtualization.

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IEEE Trans. Parallel Distributed Syst., 2021

CABNet: Category Attention Block for Imbalanced Diabetic Retinopathy Grading.

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IEEE Trans. Medical Imaging, 2021

Simultaneously Multiobjective Sparse Unmixing and Library Pruning for Hyperspectral Imagery.

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IEEE Trans. Geosci. Remote. Sens., 2021

MTFC: A Multi-GPU Training Framework for Cube-CNN-Based Hyperspectral Image Classification.

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IEEE Trans. Emerg. Top. Comput., 2021

VecQ: Minimal Loss DNN Model Compression With Vectorized Weight Quantization.

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IEEE Trans. Computers, 2021

SA-JSTN: Self-Attention Joint Spatiotemporal Network for Temperature Forecasting.

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IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

A Confidence-Guided Evaluation for Log Parsers Inner Quality.

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Mob. Networks Appl., 2021

Applications of deep learning in fundus images: A review.

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Medical Image Anal., 2021

Integrated production and distribution scheduling in distributed hybrid flow shops.

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Memetic Comput., 2021

OSN: Onion-ring support neighbors for correspondence selection.

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Inf. Sci., 2021

Editorial for the special issue on reliability and power efficiency for HPC.

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CCF Trans. High Perform. Comput., 2021

AWAP: Adaptive weighted attribute propagation enhanced community detection model for bitcoin de-anonymization.

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Appl. Soft Comput., 2021

IEEE Access Special Section Editorial: Artificial Intelligence in Parallel and Distributed Computing.

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Stéphane Zuckerman

IEEE Access, 2021

Trusted-DNN: A TrustZone-based Adaptive Isolation Strategy for Deep Neural Networks.

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Proceedings of the ACM TURC 2021: ACM Turing Award Celebration Conference - Hefei, China, 30 July 2021, 2021

2020

Confidence guided anomaly detection model for anti-concept drift in dynamic logs.

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J. Netw. Comput. Appl., 2020

Bin loss for hard exudates segmentation in fundus images.

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Neurocomputing, 2020

A benchmark for clothes variation in person re-identification.

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Int. J. Intell. Syst., 2020

AVNet: A retinal artery/vein classification network with category-attention weighted fusion.

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Comput. Methods Programs Biomed., 2020

Blockchain-driven anomaly detection framework on edge intelligence.

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CCF Trans. Netw., 2020

Attribute Propagation Enhanced Community Detection Model for Bitcoin De-anonymizing.

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Proceedings of the Machine Learning for Cyber Security - Third International Conference, 2020

A Benchmark of Ocular Disease Intelligent Recognition: One Shot for Multi-disease Detection.

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Proceedings of the Benchmarking, Measuring, and Optimizing, 2020

2019

Dual buffer rotation four-stage pipeline for CPU-GPU cooperative computing.

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Soft Comput., 2019

DCNR: deep cube CNN with random forest for hyperspectral image classification.

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Multim. Tools Appl., 2019

Diagnostic assessment of deep learning algorithms for diabetic retinopathy screening.

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Inf. Sci., 2019

L-Seg: An end-to-end unified framework for multi-lesion segmentation of fundus images.

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Neurocomputing, 2019

BTS-DSN: Deeply supervised neural network with short connections for retinal vessel segmentation.

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Int. J. Medical Informatics, 2019

Critical (P6, banner)-free graphs.

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Discret. Appl. Math., 2019

Sum of weighted distances in trees.

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Discret. Appl. Math., 2019

A Pvalue-guided Anomaly Detection Approach Combining Multiple Heterogeneous Log Parser Algorithms on IIoT Systems.

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CoRR, 2019

The Turán number of star forests.

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Appl. Math. Comput., 2019

DBEFT: A Dependency-Ratio Bundling Earliest Finish Time Algorithm for Heterogeneous Computing.

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IEEE Access, 2019

T-DLA: An Open-source Deep Learning Accelerator for Ternarized DNN Models on Embedded FPGA.

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Proceedings of the 2019 IEEE Computer Society Annual Symposium on VLSI, 2019

Aggregation Connection Network For Tiny Face Detection.

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Proceedings of the International Joint Conference on Neural Networks, 2019

µL2Q: An Ultra-Low Loss Quantization Method for DNN Compression.

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Proceedings of the International Joint Conference on Neural Networks, 2019

LHC: A Low-Power Heterogeneous Computing Method on Neural Network Accelerator.

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Proceedings of the 25th IEEE International Conference on Parallel and Distributed Systems, 2019

Random Drop Loss for Tiny Object Segmentation: Application to Lesion Segmentation in Fundus Images.

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Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Image Processing, 2019

A Lightweight Neural Network for Hard Exudate Segmentation of Fundus Image.

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Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Image Processing, 2019

Vertex-Critical ( P_5 P 5 , banner)-Free Graphs.

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Proceedings of the Frontiers in Algorithmics - 13th International Workshop, 2019

A Confidence-Guided Anomaly Detection Approach Jointly Using Multiple Machine Learning Algorithms.

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Proceedings of the Cyberspace Safety and Security - 11th International Symposium, 2019

Random Inception Module and Its Parallel Implementation.

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Proceedings of the Advanced Parallel Processing Technologies, 2019

2018

Deeply supervised neural network with short connections for retinal vessel segmentation.

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CoRR, 2018

Analyzing lattice networks through substructures.

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Appl. Math. Comput., 2018

Vertex-based and edge-based centroids of graphs.

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Appl. Math. Comput., 2018

Improving Dynamically-Generated Code Performance on Dynamic Binary Translators.

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Proceedings of the 14th ACM SIGPLAN/SIGOPS International Conference on Virtual Execution Environments, 2018

2017

An intelligent character recognition method to filter spam images on cloud.

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Soft Comput., 2017

A comparative analysis of new graph distance measures and graph edit distance.

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Matthias Dehmer

Inf. Sci., 2017

Communication-aware task scheduling algorithm for heterogeneous computing.

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Int. J. High Perform. Comput. Netw., 2017

A Novel Approach of Constructing Chinese Handwriting Mobile System and Data Service for Elementary Education Domain.

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Proceedings of the 2017 IEEE International Symposium on Parallel and Distributed Processing with Applications and 2017 IEEE International Conference on Ubiquitous Computing and Communications (ISPA/IUCC), 2017

PIM: Parallelization of Ising Model for Genomics Data.

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Proceedings of the 3rd International Conference on Big Data Computing and Communications, 2017

2016

A novel method for analyzing inverse problem of topological indices of graphs using competitive agglomeration.

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Appl. Math. Comput., 2016

Data-Oriented Runtime Scheduling Framework on Multi-GPUs.

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Proceedings of the 2016 IEEE Trustcom/BigDataSE/ISPA, 2016

HPSVM: Heterogeneous Parallel SVM with Factorization Based IPM Algorithm on CPU-GPU Cluster.

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Proceedings of the 24th Euromicro International Conference on Parallel, 2016

Cube-CNN-SVM: A Novel Hyperspectral Image Classification Method.

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Proceedings of the 28th IEEE International Conference on Tools with Artificial Intelligence, 2016

GLDA: Parallel Gibbs Sampling for Latent Dirichlet Allocation on GPU.

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Proceedings of the Advanced Computer Architecture - 11th Conference, 2016

2015

Optimization of air pollutant monitoring stations with constraints using genetic algorithm.

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J. High Speed Networks, 2015

CPU-assisted GPU thread pool model for dynamic task parallelism.

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Proceedings of the 10th IEEE International Conference on Networking, 2015

OCR with Adaptive Dictionary.

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Proceedings of the Image and Graphics - 8th International Conference, 2015

Machine-readable region identification from partially blurred document images.

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Proceedings of the 13th International Conference on Document Analysis and Recognition, 2015

PE-TLD: Parallel Extended Tracking-Learning-Detection for Multi-target Tracking.

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Proceedings of the Algorithms and Architectures for Parallel Processing, 2015

2013

GPU Acceleration of Interior Point Methods in Large Scale SVM Training.

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Proceedings of the 12th IEEE International Conference on Trust, 2013

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