Tao Li

Orcid: 0000-0003-1697-8022

Affiliations:
  • Nankai University, Tianjin, China


According to our database1, Tao Li authored at least 110 papers between 2013 and 2024.

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Bibliography

2024
NKUT: Dataset and Benchmark for Pediatric Mandibular Wisdom Teeth Segmentation.
IEEE J. Biomed. Health Informatics, June, 2024

Bilateral Supervision Network for Semi-Supervised Medical Image Segmentation.
IEEE Trans. Medical Imaging, May, 2024

AutoQNN: An End-to-End Framework for Automatically Quantizing Neural Networks.
J. Comput. Sci. Technol., March, 2024

FedComm: A Privacy-Enhanced and Efficient Authentication Protocol for Federated Learning in Vehicular Ad-Hoc Networks.
IEEE Trans. Inf. Forensics Secur., 2024

Eyes on Federated Recommendation: Targeted Poisoning With Competition and Its Mitigation.
IEEE Trans. Inf. Forensics Secur., 2024

DRS: A deep reinforcement learning enhanced Kubernetes scheduler for microservice-based system.
Softw. Pract. Exp., 2024

Joint Variational Inference Network for domain generalization.
Pattern Recognit., 2024

TransUKAN:Computing-Efficient Hybrid KAN-Transformer for Enhanced Medical Image Segmentation.
CoRR, 2024

Transformer for Multitemporal Hyperspectral Image Unmixing.
CoRR, 2024

Minimize Quantization Output Error with Bias Compensation.
CoRR, 2024

OptFuzz: Optimization Path Guided Fuzzing for JavaScript JIT Compilers.
Proceedings of the 33rd USENIX Security Symposium, 2024

Open-Set Semi-supervised Medical Image Classification with Learnable Prototypes and Outlier Filter.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

FRCNet: Frequency and Region Consistency for Semi-supervised Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Memory-Efficient and Secure DNN Inference on TrustZone-enabled Consumer IoT Devices.
Proceedings of the IEEE INFOCOM 2024, 2024

OAA: An Abstraction for Efficient Accelerator Adaptation in Deep Learning Frameworks.
Proceedings of the International Joint Conference on Neural Networks, 2024

Beyond Perplexity: Multi-dimensional Safety Evaluation of LLM Compression.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Deep Feature Surgery: Towards Accurate and Efficient Multi-exit Networks.
Proceedings of the Computer Vision - ECCV 2024, 2024

2023
H2Former: An Efficient Hierarchical Hybrid Transformer for Medical Image Segmentation.
IEEE Trans. Medical Imaging, September, 2023

TSC-VEE: A TrustZone-Based Smart Contract Virtual Execution Environment.
IEEE Trans. Parallel Distributed Syst., June, 2023

Unmixing Guided Unsupervised Network for RGB Spectral Super-Resolution.
IEEE Trans. Image Process., 2023

An Imbalanced Discriminant Alignment Approach for Domain Adaptive SAR Ship Detection.
IEEE Trans. Geosci. Remote. Sens., 2023

Toward Convergence: A Gradient-Based Multiobjective Method With Greedy Hash for Hyperspectral Unmixing.
IEEE Trans. Geosci. Remote. Sens., 2023

LiCa: Label-Indicate-Conditional-Alignment Domain Generalization for Pixel-Wise Hyperspectral Imagery Classification.
IEEE Trans. Geosci. Remote. Sens., 2023

UnDAT: Double-Aware Transformer for Hyperspectral Unmixing.
IEEE Trans. Geosci. Remote. Sens., 2023

Dancing With Wolves: An Intra-Process Isolation Technique With Privileged Hardware.
IEEE Trans. Dependable Secur. Comput., 2023

Be Bayesian by Attachments to Catch More Uncertainty.
CoRR, 2023

DVPT: Dynamic Visual Prompt Tuning of Large Pre-trained Models for Medical Image Analysis.
CoRR, 2023

AutoQNN: An End-to-End Framework for Automatically Quantizing Neural Networks.
CoRR, 2023

2022
SmartVM: A Smart Contract Virtual Machine for Fast On-Chain DNN Computations.
IEEE Trans. Parallel Distributed Syst., 2022

Elastic Significant Bit Quantization and Acceleration for Deep Neural Networks.
IEEE Trans. Parallel Distributed Syst., 2022

Progressive Multiscale Consistent Network for Multiclass Fundus Lesion Segmentation.
IEEE Trans. Medical Imaging, 2022

Deep Autoencoder for Hyperspectral Unmixing via Global-Local Smoothing.
IEEE Trans. Geosci. Remote. Sens., 2022

A Multiobjective Group Sparse Hyperspectral Unmixing Method With High Correlation Library.
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.
IEEE Internet Things J., 2022

Progressive Multi-scale Consistent Network for Multi-class Fundus Lesion Segmentation.
CoRR, 2022

A systematic study on benchmarking AI inference accelerators.
CCF Trans. High Perform. Comput., 2022

Block-gram: Mining Knowledgeable Features for Smart Contract Vulnerability Detection.
Proceedings of the Smart Computing and Communication - 7th International Conference, 2022

Long-Term Person Re-identification with Dramatic Appearance Change: Algorithm and Benchmark.
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.
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.
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.
Wirel. Commun. Mob. Comput., 2021

A Thread Level SLO-Aware I/O Framework for Embedded Virtualization.
IEEE Trans. Parallel Distributed Syst., 2021

CABNet: Category Attention Block for Imbalanced Diabetic Retinopathy Grading.
IEEE Trans. Medical Imaging, 2021

Simultaneously Multiobjective Sparse Unmixing and Library Pruning for Hyperspectral Imagery.
IEEE Trans. Geosci. Remote. Sens., 2021

MTFC: A Multi-GPU Training Framework for Cube-CNN-Based Hyperspectral Image Classification.
IEEE Trans. Emerg. Top. Comput., 2021

VecQ: Minimal Loss DNN Model Compression With Vectorized Weight Quantization.
IEEE Trans. Computers, 2021

SA-JSTN: Self-Attention Joint Spatiotemporal Network for Temperature Forecasting.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

A Confidence-Guided Evaluation for Log Parsers Inner Quality.
Mob. Networks Appl., 2021

Applications of deep learning in fundus images: A review.
Medical Image Anal., 2021

Integrated production and distribution scheduling in distributed hybrid flow shops.
Memetic Comput., 2021

OSN: Onion-ring support neighbors for correspondence selection.
Inf. Sci., 2021

Editorial for the special issue on reliability and power efficiency for HPC.
CCF Trans. High Perform. Comput., 2021

AWAP: Adaptive weighted attribute propagation enhanced community detection model for bitcoin de-anonymization.
Appl. Soft Comput., 2021

IEEE Access Special Section Editorial: Artificial Intelligence in Parallel and Distributed Computing.
IEEE Access, 2021

Trusted-DNN: A TrustZone-based Adaptive Isolation Strategy for Deep Neural Networks.
Proceedings of the ACM TURC 2021: ACM Turing Award Celebration Conference - Hefei, China, 30 July 2021, 2021

2020
Novel model to integrate word embeddings and syntactic trees for automatic caption generation from images.
Soft Comput., 2020

Confidence guided anomaly detection model for anti-concept drift in dynamic logs.
J. Netw. Comput. Appl., 2020

Bin loss for hard exudates segmentation in fundus images.
Neurocomputing, 2020

A benchmark for clothes variation in person re-identification.
Int. J. Intell. Syst., 2020

AVNet: A retinal artery/vein classification network with category-attention weighted fusion.
Comput. Methods Programs Biomed., 2020

Blockchain-driven anomaly detection framework on edge intelligence.
CCF Trans. Netw., 2020

Attribute Propagation Enhanced Community Detection Model for Bitcoin De-anonymizing.
Proceedings of the Machine Learning for Cyber Security - Third International Conference, 2020

Characterizing the I/O Pipeline in the Deployment of CNNs on Commercial Accelerators.
Proceedings of the IEEE International Conference on Parallel & Distributed Processing with Applications, 2020

A Benchmark of Ocular Disease Intelligent Recognition: One Shot for Multi-disease Detection.
Proceedings of the Benchmarking, Measuring, and Optimizing, 2020

2019
Dual buffer rotation four-stage pipeline for CPU-GPU cooperative computing.
Soft Comput., 2019

DCNR: deep cube CNN with random forest for hyperspectral image classification.
Multim. Tools Appl., 2019

Diagnostic assessment of deep learning algorithms for diabetic retinopathy screening.
Inf. Sci., 2019

L-Seg: An end-to-end unified framework for multi-lesion segmentation of fundus images.
Neurocomputing, 2019

BTS-DSN: Deeply supervised neural network with short connections for retinal vessel segmentation.
Int. J. Medical Informatics, 2019

Critical (P6, banner)-free graphs.
Discret. Appl. Math., 2019

Sum of weighted distances in trees.
Discret. Appl. Math., 2019

A Pvalue-guided Anomaly Detection Approach Combining Multiple Heterogeneous Log Parser Algorithms on IIoT Systems.
CoRR, 2019

Novel framework for image attribute annotation with gene selection XGBoost algorithm and relative attribute model.
Appl. Soft Comput., 2019

A note on extremal trees with degree conditions.
Appl. Math. Comput., 2019

The Turán number of star forests.
Appl. Math. Comput., 2019

Asking Images: Hybrid Recommendation System for Tourist Spots by Hierarchical Sampling Statistics and Multimodal Visual Bayesian Personalized Ranking.
IEEE Access, 2019

DBEFT: A Dependency-Ratio Bundling Earliest Finish Time Algorithm for Heterogeneous Computing.
IEEE Access, 2019

ExploreBP: A Simulation Tool for Mobile Browser Energy Optimization.
Proceedings of the Simulation Tools and Techniques - 11th International Conference, 2019

T-DLA: An Open-source Deep Learning Accelerator for Ternarized DNN Models on Embedded FPGA.
Proceedings of the 2019 IEEE Computer Society Annual Symposium on VLSI, 2019

Aggregation Connection Network For Tiny Face Detection.
Proceedings of the International Joint Conference on Neural Networks, 2019

µL2Q: An Ultra-Low Loss Quantization Method for DNN Compression.
Proceedings of the International Joint Conference on Neural Networks, 2019

LHC: A Low-Power Heterogeneous Computing Method on Neural Network Accelerator.
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.
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.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Image Processing, 2019

Vertex-Critical ( P_5 P 5 , banner)-Free Graphs.
Proceedings of the Frontiers in Algorithmics - 13th International Workshop, 2019

A Confidence-Guided Anomaly Detection Approach Jointly Using Multiple Machine Learning Algorithms.
Proceedings of the Cyberspace Safety and Security - 11th International Symposium, 2019

Random Inception Module and Its Parallel Implementation.
Proceedings of the Advanced Parallel Processing Technologies, 2019

2018
Deeply supervised neural network with short connections for retinal vessel segmentation.
CoRR, 2018

Analyzing lattice networks through substructures.
Appl. Math. Comput., 2018

Vertex-based and edge-based centroids of graphs.
Appl. Math. Comput., 2018

On distances in vertex-weighted trees.
Appl. Math. Comput., 2018

Improving Dynamically-Generated Code Performance on Dynamic Binary Translators.
Proceedings of the 14th ACM SIGPLAN/SIGOPS International Conference on Virtual Execution Environments, 2018

CubemapSLAM: A Piecewise-Pinhole Monocular Fisheye SLAM System.
Proceedings of the Computer Vision - ACCV 2018, 2018

2017
An intelligent character recognition method to filter spam images on cloud.
Soft Comput., 2017

A comparative analysis of new graph distance measures and graph edit distance.
Inf. Sci., 2017

Communication-aware task scheduling algorithm for heterogeneous computing.
Int. J. High Perform. Comput. Netw., 2017

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

Structure-Measure: A New Way to Evaluate Foreground Maps.
Proceedings of the IEEE International Conference on Computer Vision, 2017

PIM: Parallelization of Ising Model for Genomics Data.
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.
Appl. Math. Comput., 2016

Data-Oriented Runtime Scheduling Framework on Multi-GPUs.
Proceedings of the 2016 IEEE Trustcom/BigDataSE/ISPA, 2016

HPSVM: Heterogeneous Parallel SVM with Factorization Based IPM Algorithm on CPU-GPU Cluster.
Proceedings of the 24th Euromicro International Conference on Parallel, 2016

Cube-CNN-SVM: A Novel Hyperspectral Image Classification Method.
Proceedings of the 28th IEEE International Conference on Tools with Artificial Intelligence, 2016

GLDA: Parallel Gibbs Sampling for Latent Dirichlet Allocation on GPU.
Proceedings of the Advanced Computer Architecture - 11th Conference, 2016

2015
Optimization of air pollutant monitoring stations with constraints using genetic algorithm.
J. High Speed Networks, 2015

CPU-assisted GPU thread pool model for dynamic task parallelism.
Proceedings of the 10th IEEE International Conference on Networking, 2015

OCR with Adaptive Dictionary.
Proceedings of the Image and Graphics - 8th International Conference, 2015

Machine-readable region identification from partially blurred document images.
Proceedings of the 13th International Conference on Document Analysis and Recognition, 2015

PE-TLD: Parallel Extended Tracking-Learning-Detection for Multi-target Tracking.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2015

2013
GPU Acceleration of Interior Point Methods in Large Scale SVM Training.
Proceedings of the 12th IEEE International Conference on Trust, 2013


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