Xiaoxiao Li

Orcid: 0009-0004-2132-2735

According to our database1, Xiaoxiao Li authored at least 229 papers between 2010 and 2025.

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Bibliography

2025
Accurately matching serial whole slide images for tumor heterogeneity analysis.
Biomed. Signal Process. Control., 2025

2024
Mine yOur owN Anatomy: Revisiting Medical Image Segmentation With Extremely Limited Labels.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

Evolutionary Dynamics-Driven Learning of Optimal Decisions for Nonlinear System: Extend-Policy Iterative Algorithm.
IEEE Trans. Cybern., November, 2024

MSGM: An Advanced Deep Multi-Size Guiding Matching Network for Whole Slide Histopathology Images Addressing Staining Variation and Low Visibility Challenges.
IEEE J. Biomed. Health Informatics, October, 2024

Different Vegetation Covers Leading to the Uncertainty and Consistency of ET Estimation: A Case Study Assessment with Extended Triple Collocation.
Remote. Sens., July, 2024

GRLC: Graph Representation Learning With Constraints.
IEEE Trans. Neural Networks Learn. Syst., June, 2024

An Improvement Method for Improving the Surface Defect Detection of Industrial Products Based on Contour Matching Algorithms.
Sensors, June, 2024

Rank and Pairs of Rank and Dimension of Kernel of Z<sub>p</sub>Z<sub>p</sub>²-Linear Codes.
IEEE Trans. Inf. Theory, May, 2024

Distance- and Velocity-Based Simultaneous Obstacle Avoidance and Target Tracking for Multiple Wheeled Mobile Robots.
IEEE Trans. Intell. Transp. Syst., February, 2024

dAPRE:Efficient and Reliable Attribute-Based Proxy Re-Encryption Using DAG for Data Sharing in IoT.
IEEE Trans. Consumer Electron., February, 2024

FedDMC: Efficient and Robust Federated Learning via Detecting Malicious Clients.
IEEE Trans. Dependable Secur. Comput., 2024

Federated learning as a catalyst for digital healthcare innovations.
Patterns, 2024

LESS: Label-efficient multi-scale learning for cytological whole slide image screening.
Medical Image Anal., 2024

MMGPL: Multimodal Medical Data Analysis with Graph Prompt Learning.
Medical Image Anal., 2024

CCSI: Continual Class-Specific Impression for data-free class incremental learning.
Medical Image Anal., 2024

Differentially Private Neural Tangent Kernels (DP-NTK) for Privacy-Preserving Data Generation.
J. Artif. Intell. Res., 2024

NAMR-RRT: Neural Adaptive Motion Planning for Mobile Robots in Dynamic Environments.
CoRR, 2024

Local Superior Soups: A Catalyst for Model Merging in Cross-Silo Federated Learning.
CoRR, 2024

DARE the Extreme: Revisiting Delta-Parameter Pruning For Fine-Tuned Models.
CoRR, 2024

HyperBrain: Anomaly Detection for Temporal Hypergraph Brain Networks.
CoRR, 2024

Federated Impression for Learning with Distributed Heterogeneous Data.
CoRR, 2024

A Survey on Trustworthiness in Foundation Models for Medical Image Analysis.
CoRR, 2024

FairMedFM: Fairness Benchmarking for Medical Imaging Foundation Models.
CoRR, 2024

Federated Model Heterogeneous Matryoshka Representation Learning.
CoRR, 2024

pFedAFM: Adaptive Feature Mixture for Batch-Level Personalization in Heterogeneous Federated Learning.
CoRR, 2024

Advances and Open Challenges in Federated Learning with Foundation Models.
CoRR, 2024

Injecting New Knowledge into Large Language Models via Supervised Fine-Tuning.
CoRR, 2024

Learnable Community-Aware Transformer for Brain Connectome Analysis with Token Clustering.
CoRR, 2024

Universal Debiased Editing on Foundation Models for Fair Medical Image Classification.
CoRR, 2024

OpenMEDLab: An Open-source Platform for Multi-modality Foundation Models in Medicine.
CoRR, 2024

Content Conditional Debiasing for Fair Text Embedding.
CoRR, 2024

pFedMoE: Data-Level Personalization with Mixture of Experts for Model-Heterogeneous Personalized Federated Learning.
CoRR, 2024

Tseng's extragradient method with double projection for solving pseudomonotone variational inequality problems in Hilbert spaces.
Comput. Appl. Math., 2024

Backdoor Attack on Unpaired Medical Image-Text Foundation Models: A Pilot Study on MedCLIP.
Proceedings of the IEEE Conference on Secure and Trustworthy Machine Learning, 2024

Fairness in Classifying and Grouping Health Equity Information.
Proceedings of the Innovation in Applied Nursing Informatics, 2024

A Simple and Provable Approach for Learning on Noisy Labeled Medical Images.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Heteroscedastic Uncertainty Estimation Framework for Unsupervised Registration.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Patch-Slide Discriminative Joint Learning for Weakly-Supervised Whole Slide Image Representation and Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Debiased Noise Editing on Foundation Models for Fair Medical Image Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

FedSSA: Semantic Similarity-based Aggregation for Efficient Model-Heterogeneous Personalized Federated Learning.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Dual Calibration-based Personalised Federated Learning.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

A Bias-Free Revenue-Maximizing Bidding Strategy for Data Consumers in Auction-based Federated Learning.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Intelligent Agents for Auction-based Federated Learning: A Survey.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Sample Quality Heterogeneity-aware Federated Causal Discovery through Adaptive Variable Space Selection.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Coherence Analysis and Interferometric Measurement of P-Band Repeat Pass UAV InSAR.
Proceedings of the IGARSS 2024, 2024

Learning High-Order Relationships of Brain Regions.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

FedCal: Achieving Local and Global Calibration in Federated Learning via Aggregated Parameterized Scaler.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Overcoming Data and Model heterogeneities in Decentralized Federated Learning via Synthetic Anchors.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Agent-Oriented Joint Decision Support for Data Owners in Auction-Based Federated Learning.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

FedRMS: Privacy-Preserving Federated Knowledge Graph Embedding Through Randomization.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

The Prospect of Enhancing Large-Scale Heterogeneous Federated Learning with Foundation Models.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

Heterogeneous Personalized Federated Learning by Local-Global Updates Mixing via Convergence Rate.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Federated Learning with Local Openset Noisy Labels.
Proceedings of the Computer Vision - ECCV 2024, 2024

Unlocking the Potential of Prompt-Tuning in Bridging Generalized and Personalized Federated Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Dynamic Corrected Split Federated Learning With Homomorphic Encryption for U-Shaped Medical Image Networks.
IEEE J. Biomed. Health Informatics, December, 2023

Regional feature fusion for on-road detection of objects using camera and 3D-LiDAR in high-speed autonomous vehicles.
Soft Comput., December, 2023

Backdoor attack and defense in federated generative adversarial network-based medical image synthesis.
Medical Image Anal., December, 2023

An orientation-free ring feature descriptor with stain-variability normalization for pathology image matching.
Comput. Biol. Medicine, December, 2023

Visual-quality-driven unsupervised image dehazing.
Neural Networks, October, 2023

MISSU: 3D Medical Image Segmentation via Self-Distilling TransUNet.
IEEE Trans. Medical Imaging, September, 2023

Quasi-Cyclic Perfect Codes in Doob Graphs and Special Partitions of Galois Rings.
IEEE Trans. Inf. Theory, September, 2023

The randomized Kaczmarz algorithm with the probability distribution depending on the angle.
Numer. Algorithms, May, 2023

Strong and linear convergence of projection-type method with an inertial term for finding minimum-norm solutions of pseudomonotone variational inequalities in Hilbert spaces.
Numer. Algorithms, April, 2023

GATE: Graph CCA for Temporal Self-Supervised Learning for Label-Efficient fMRI Analysis.
IEEE Trans. Medical Imaging, February, 2023

Double Model Following Adaptive Control for a Complex Dynamical Network.
Entropy, January, 2023

FedNI: Federated Graph Learning With Network Inpainting for Population-Based Disease Prediction.
IEEE Trans. Medical Imaging, 2023

A Dataset Auditing Method for Collaboratively Trained Machine Learning Models.
IEEE Trans. Medical Imaging, 2023

Dielectric Dispersion of Hydrate-Bearing Artificial Sediment - Detection Method and Experimental Observations.
IEEE Trans. Geosci. Remote. Sens., 2023

A novelty harmony search algorithm of image segmentation for multilevel thresholding using learning experience and search space constraints.
Multim. Tools Appl., 2023

Guidelines and evaluation of clinical explainable AI in medical image analysis.
Medical Image Anal., 2023

Retinex decomposition and fusion dehazing network.
J. Electronic Imaging, 2023

Heteroscedastic Uncertainty Estimation for Probabilistic Unsupervised Registration of Noisy Medical Images.
CoRR, 2023

Energizing Federated Learning via Filter-Aware Attention.
CoRR, 2023

Heterogeneous Federated Learning with Group-Aware Prompt Tuning.
CoRR, 2023

Transsion TSUP's speech recognition system for ASRU 2023 MADASR Challenge.
CoRR, 2023

Community-Aware Transformer for Autism Prediction in fMRI Connectome.
CoRR, 2023

Clinical-Inspired Cytological Whole Slide Image Screening with Just Slide-Level Labels.
CoRR, 2023

Sparse Convolution for Approximate Sparse Instance.
CoRR, 2023

Forgettable Federated Linear Learning with Certified Data Removal.
CoRR, 2023

Scalable Data Point Valuation in Decentralized Learning.
CoRR, 2023

Matching-based Data Valuation for Generative Model.
CoRR, 2023

Biological Factor Regulatory Neural Network.
CoRR, 2023

Rethinking AI Explainability and Plausibility.
CoRR, 2023

Federated Virtual Learning on Heterogeneous Data with Local-global Distillation.
CoRR, 2023

Differentially Private Neural Tangent Kernels for Privacy-Preserving Data Generation.
CoRR, 2023

Research on Active Detection Methods for Video Anomaly Events Based on Concept Semantics.
Proceedings of the 23rd IEEE International Conference on Software Quality, 2023

Client-Level Differential Privacy via Adaptive Intermediary in Federated Medical Imaging.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

FedSoup: Improving Generalization and Personalization in Federated Learning via Selective Model Interpolation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Community-Aware Transformer for Autism Prediction in fMRI Connectome.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

SADM: Sequence-Aware Diffusion Model for Longitudinal Medical Image Generation.
Proceedings of the Information Processing in Medical Imaging, 2023

On Fairness of Medical Image Classification with Multiple Sensitive Attributes via Learning Orthogonal Representations.
Proceedings of the Information Processing in Medical Imaging, 2023

Research between investor sentiment and bitcoin price based on the VAR model.
Proceedings of the International Conference on Mathematics and Machine Learning, 2023

Federated Adversarial Learning: A Framework with Convergence Analysis.
Proceedings of the International Conference on Machine Learning, 2023

PerFedMask: Personalized Federated Learning with Optimized Masking Vectors.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Design and Implementation of Material Management System.
Proceedings of the 2023 4th International Conference on Big Data Economy and Information Management, 2023

2022
New classes of binary few weight codes from trace codes over a chain ring.
J. Appl. Math. Comput., June, 2022

Revisiting the extragradient method for finding the minimum-norm solution of non-Lipschitzian pseudo-monotone variational inequalities.
Comput. Appl. Math., June, 2022

Motion Planning of Manipulators for Simultaneous Obstacle Avoidance and Target Tracking: An RNN Approach With Guaranteed Performance.
IEEE Trans. Ind. Electron., 2022

Simultaneous Obstacle Avoidance and Target Tracking of Multiple Wheeled Mobile Robots With Certified Safety.
IEEE Trans. Cybern., 2022

Fractional Landweber Iterative Regularization Method for Solving the Inverse Problem of Time-Fractional Schrödinger Equation.
Symmetry, 2022

Evaluation of foF2 and hmF2 Parameters of IRI-2016 Model in Different Latitudes over China under High and Low Solar Activity Years.
Remote. Sens., 2022

Mining confident supervision by prototypes discovering and annotation selection for weakly supervised semantic segmentation.
Neurocomputing, 2022

Dynamic neural networks based adaptive optimal impedance control for redundant manipulators under physical constraints.
Neurocomputing, 2022

Few-weight codes over a non-chain ring associated with simplicial complexes and their distance optimal Gray image.
Finite Fields Their Appl., 2022

Robust Split Federated Learning for U-shaped Medical Image Networks.
CoRR, 2022

A tight upper bound on the number of non-zero weights of a quasi-cyclic code.
CoRR, 2022

Improving Fairness in Image Classification via Sketching.
CoRR, 2022

FedMT: Federated Learning with Mixed-type Labels.
CoRR, 2022

Transcending XAI Algorithm Boundaries through End-User-Inspired Design.
CoRR, 2022

Rank and pairs of Rank and Dimension of Kernel of Z<sub>p</sub>Z<sub>p<sup>2</sup></sub>-linear codes.
CoRR, 2022

Hypernetwork-based Personalized Federated Learning for Multi-Institutional CT Imaging.
CoRR, 2022

Z<sub>p</sub>Z<sub>p<sup>2</sup></sub>-linear codes: rank and kernel.
CoRR, 2022

GATE: Graph CCA for Temporal SElf-supervised Learning for Label-efficient fMRI Analysis.
CoRR, 2022

RestoreDet: Degradation Equivariant Representation for Object Detection in Low Resolution Images.
CoRR, 2022

Critical direction projection networks for few-shot learning.
Appl. Intell., 2022

Backdoor Attack is a Devil in Federated GAN-Based Medical Image Synthesis.
Proceedings of the Simulation and Synthesis in Medical Imaging, 2022

Dynamic Bank Learning for Semi-supervised Federated Image Diagnosis with Class Imbalance.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Efficient Medical Image Assessment via Self-supervised Learning.
Proceedings of the Data Augmentation, Labelling, and Imperfections, 2022

Interpretable Graph Neural Networks for Connectome-Based Brain Disorder Analysis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Class Impression for Data-Free Incremental Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

DeMed: A Novel and Efficient Decentralized Learning Framework for Medical Images Classification on Blockchain.
Proceedings of the Distributed, Collaborative, and Federated Learning, and Affordable AI and Healthcare for Resource Diverse Global Health, 2022

SCaLa: Supervised Contrastive Learning for End-to-End Speech Recognition.
Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

Federated Learning from Only Unlabeled Data with Class-conditional-sharing Clients.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Exploring Resolution and Degradation Clues as Self-supervised Signal for Low Quality Object Detection.
Proceedings of the Computer Vision - ECCV 2022, 2022

The 1st International Workshop on Federated Learning with Graph Data (FedGraph).
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

A Convergence Theory for Federated Average: Beyond Smoothness.
Proceedings of the IEEE International Conference on Big Data, 2022

Evaluating Explainable AI on a Multi-Modal Medical Imaging Task: Can Existing Algorithms Fulfill Clinical Requirements?
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Texture Memory-Augmented Deep Patch-Based Image Inpainting.
IEEE Trans. Image Process., 2021

A Vary-Parameter Convergence-Accelerated Recurrent Neural Network for Online Solving Dynamic Matrix Pseudoinverse and its Robot Application.
Neural Process. Lett., 2021

BrainGNN: Interpretable Brain Graph Neural Network for fMRI Analysis.
Medical Image Anal., 2021

Strong Convergence of the Modified Inertial Extragradient Method with Line-Search Process for Solving Variational Inequality Problems in Hilbert Spaces.
J. Sci. Comput., 2021

Publication delay adjusted impact factor: The effect of publication delay of articles on journal impact factor.
J. Informetrics, 2021

Collaboration of multiple SCARA robots with guaranteed safety using recurrent neural networks.
Neurocomputing, 2021

A New Family of Optimal Binary Few-Weight Codes From Simplicial Complexes.
IEEE Commun. Lett., 2021

3D placement of unmanned aerial vehicles and partially overlapped channel assignment for throughput maximization.
Digit. Commun. Networks, 2021

Two classes of optimal p-ary few-weight codes from down-sets.
Discret. Appl. Math., 2021

TsmoBN: Interventional Generalization for Unseen Clients in Federated Learning.
CoRR, 2021

SCaLa: Supervised Contrastive Learning for End-to-End Automatic Speech Recognition.
CoRR, 2021

BrainNNExplainer: An Interpretable Graph Neural Network Framework for Brain Network based Disease Analysis.
CoRR, 2021

One Map Does Not Fit All: Evaluating Saliency Map Explanation on Multi-Modal Medical Images.
CoRR, 2021

Designs, permutations, and projective planes.
CoRR, 2021

FL-NTK: A Neural Tangent Kernel-based Framework for Federated Learning Convergence Analysis.
CoRR, 2021

Estimating and Improving Fairness with Adversarial Learning.
CoRR, 2021

Common-Mode Voltage Suppression Strategy Based on Fast MPC for a Five-Level Nested Neutral Point Piloted Converter.
IEEE Access, 2021

Kinematic control of wheeled mobile manipulators subject to inherent physical constraints and noise disturbances.
Proceedings of the IEEE International Conference on Real-time Computing and Robotics, 2021

Subgraph Federated Learning with Missing Neighbor Generation.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

EMA: Auditing Data Removal from Trained Models.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

FL-NTK: A Neural Tangent Kernel-based Framework for Federated Learning Analysis.
Proceedings of the 38th International Conference on Machine Learning, 2021

FedBN: Federated Learning on Non-IID Features via Local Batch Normalization.
Proceedings of the 9th International Conference on Learning Representations, 2021

On InstaHide, Phase Retrieval, and Sparse Matrix Factorization.
Proceedings of the 9th International Conference on Learning Representations, 2021

Robust Formation Tracking of Multiple Wheeled Mobile Robots Under External Disturbance.
Proceedings of the Intelligent Robotics and Applications - 14th International Conference, 2021

On the Fairness of Swarm Learning in Skin Lesion Classification.
Proceedings of the Clinical Image-Based Procedures, Distributed and Collaborative Learning, Artificial Intelligence for Combating COVID-19 and Secure and Privacy-Preserving Machine Learning, 2021

Leveraging Human Selective Attention for Medical Image Analysis with Limited Training Data.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021

Incremental Learning for End-to-End Automatic Speech Recognition.
Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2021

2020
Blind Photograph Watermarking with Robust Defocus-Based JND Model.
Wirel. Commun. Mob. Comput., 2020

Data mining algorithms for bridge health monitoring: Kohonen clustering and LSTM prediction approaches.
J. Supercomput., 2020

How Many Weights Can a Cyclic Code Have?
IEEE Trans. Inf. Theory, 2020

Laplacian Redecomposition for Multimodal Medical Image Fusion.
IEEE Trans. Instrum. Meas., 2020

REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs.
Medical Image Anal., 2020

Multi-site fMRI analysis using privacy-preserving federated learning and domain adaptation: ABIDE results.
Medical Image Anal., 2020

Bi-criteria Acceleration Level Obstacle Avoidance of Redundant Manipulator.
Frontiers Neurorobotics, 2020

Polycyclic codes as invariant subspaces.
Finite Fields Their Appl., 2020

Automating Document Classification with Distant Supervision to Increase the Efficiency of Systematic Reviews.
CoRR, 2020

MixCon: Adjusting the Separability of Data Representations for Harder Data Recovery.
CoRR, 2020

On the number of frequency hypercubes F<sup>n</sup>(4;2, 2).
CoRR, 2020

Visual Perception Model for Rapid and Adaptive Low-light Image Enhancement.
CoRR, 2020

Incremental Learning for End-to-End Automatic Speech Recognition.
CoRR, 2020

Research on Modeling Units of Transformer Transducer for Mandarin Speech Recognition.
CoRR, 2020

Acceleration Level Control of Redundant Manipulators with Physical Constraints Compliance and Disturbance Rejection under Complex Environment.
Complex., 2020

Multi-Physical Coupling Field Study of 500 kV GIL: Simulation, Characteristics, and Analysis.
IEEE Access, 2020

Cooperative Kinematic Control for Multiple Redundant Manipulators Under Partially Known Information Using Recurrent Neural Network.
IEEE Access, 2020

Cross-Modality Segmentation by Self-supervised Semantic Alignment in Disentangled Content Space.
Proceedings of the Domain Adaptation and Representation Transfer, and Distributed and Collaborative Learning, 2020

Pooling Regularized Graph Neural Network for fMRI Biomarker Analysis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Efficient Shapley Explanation for Features Importance Estimation Under Uncertainty.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Demographic-Guided Attention in Recurrent Neural Networks for Modeling Neuropathophysiological Heterogeneity.
Proceedings of the Machine Learning in Medical Imaging - 11th International Workshop, 2020

Graph embedding using Infomax for ASD classification and brain functional difference detection.
Proceedings of the Medical Imaging 2020: Biomedical Applications in Molecular, 2020

A Few-shot Dynamic Obstacle Avoidance Strategy in Unknown Environments.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Adaptive Checkpoint Adjoint Method for Gradient Estimation in Neural ODE.
Proceedings of the 37th International Conference on Machine Learning, 2020

Knowledge Distillation Meets Self-supervision.
Proceedings of the Computer Vision - ECCV 2020, 2020

Real-time Data Visualization of Intelligent Networked Vehicles.
Proceedings of the CNIOT 2020: 2020 International Conference on Computing, 2020

Explain Graph Neural Networks to Understand Weighted Graph Features in Node Classification.
Proceedings of the Machine Learning and Knowledge Extraction, 2020

2019
Channel coordination of battery supplier and battery swap station of micro-grid with uncertain rental demand.
Soft Comput., 2019

Efficient copyright protection for three CT images based on quaternion polar harmonic Fourier moments.
Signal Process., 2019

A Non-linear and Noise-Tolerant ZNN Model and Its Application to Static and Time-Varying Matrix Square Root Finding.
Neural Process. Lett., 2019

REFUGE Challenge: A Unified Framework for Evaluating Automated Methods for Glaucoma Assessment from Fundus Photographs.
CoRR, 2019

MMDetection: Open MMLab Detection Toolbox and Benchmark.
CoRR, 2019

Geometrically Invariant Color Medical Image Null-Watermarking Based on Precise Quaternion Polar Harmonic Fourier Moments.
IEEE Access, 2019

Invertible Network for Classification and Biomarker Selection for ASD.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Interpretable Multimodality Embedding of Cerebral Cortex Using Attention Graph Network for Identifying Bipolar Disorder.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Graph Neural Network for Interpreting Task-fMRI Biomarkers.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Jointly Discriminative and Generative Recurrent Neural Networks for Learning from fMRI.
Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019

Prediction of Treatment Outcome for Autism from Structure of the Brain Based On Sure Independence Screening.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Lesion Attributes Segmentation for Melanoma Detection with Multi-Task U-Net.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Efficient Interpretation of Deep Learning Models Using Graph Structure and Cooperative Game Theory: Application to ASD Biomarker Discovery.
Proceedings of the Information Processing in Medical Imaging, 2019

Mission Reliability Allocation Based on Interval-Hesitant Fuzzy Linguistic Term Sets.
Proceedings of the 2019 IEEE International Conference on Industrial Engineering and Engineering Management, 2019

Construction of Multivariable Fuzzy Time Series Model Based on Multidimensional Information Distribution Technology.
Proceedings of the Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery - Proceedings of the 15th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD 2019), Kunming, China, July 20-22, 2019, 2019

Decision explanation and feature importance for invertible networks.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Skin Lesion Segmentation with C-UNet.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

From Deep Learning Towards Finding Skin Lesion Biomarkers.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

Deep Flow-Guided Video Inpainting.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Hybrid Task Cascade for Instance Segmentation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Deep Learning Markov Random Field for Semantic Segmentation.
IEEE Trans. Pattern Anal. Mach. Intell., 2018

A nonlinear and noise-tolerant ZNN model solving for time-varying linear matrix equation.
Neurocomputing, 2018

Repetitive Motion Estimation Network: Recover cardiac and respiratory signal from thoracic imaging.
CoRR, 2018

What evidence does deep learning model use to classify Skin Lesions?
CoRR, 2018

Prediction of Severity and Treatment Outcome for ASD from fMRI.
Proceedings of the PRedictive Intelligence in MEdicine - First International Workshop, 2018

Brain Biomarker Interpretation in ASD Using Deep Learning and fMRI.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Routing and Spectrum Allocation for Time Varying Traffic by Artificial Bee Colony Algorithm in Elastic Optical Networks.
Proceedings of the IEEE International Conference on Parallel & Distributed Processing with Applications, 2018

Prediction of Pivotal response treatment outcome with task fMRI using random forest and variable selection.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

2-Channel convolutional 3D deep neural network (2CC3D) for fMRI analysis: ASD classification and feature learning.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Video Object Segmentation with Joint Re-identification and Attention-Aware Mask Propagation.
Proceedings of the Computer Vision - ECCV 2018, 2018

2017
Video Object Segmentation with Re-identification.
CoRR, 2017

A kernel-space POF virtual switch.
Comput. Electr. Eng., 2017

An analytical approach for obtaining the transient solution of the fractional-order buck converter in CCM.
Proceedings of the IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society, Beijing, China, October 29, 2017

Not All Pixels Are Equal: Difficulty-Aware Semantic Segmentation via Deep Layer Cascade.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016
Pedestrian Color Naming via Convolutional Neural Network.
Proceedings of the Computer Vision - ACCV 2016, 2016

2015
Semantic Image Segmentation via Deep Parsing Network.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

2014
Object-Based Land-Cover Mapping with High Resolution Aerial Photography at a County Scale in Midwestern USA.
Remote. Sens., 2014

Object-based land-cover classification for metropolitan Phoenix, Arizona, using aerial photography.
Int. J. Appl. Earth Obs. Geoinformation, 2014

2013
BigStation: enabling scalable real-time signal processingin large mu-mimo systems.
Proceedings of the ACM SIGCOMM 2013 Conference, 2013

Text Document Topical Recursive Clustering and Automatic Labeling of a Hierarchy of Document Clusters.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2013

SAE: social analytic engine for large networks.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Teeth segmentation via semi-supervised learning.
Proceedings of the 6th International Conference on Biomedical Engineering and Informatics, 2013

2012
Endoscopes shape reconstruction based on electromagnetic localization and curve fitting.
Proceedings of the 2012 IEEE International Conference on Robotics and Biomimetics, 2012

Electronic commerce and supervision platform in agriculture based on Web 3.0.
Proceedings of the IET International Conference on Wireless Communications and Applications, 2012

2011
Similarity criterion for image resizing.
EURASIP J. Adv. Signal Process., 2011

2010
Analysis on oscillation in electro-hydraulic regulating system of steam turbine and fault diagnosis based on PSOBP.
Expert Syst. Appl., 2010

Clustering Scatter Plots Using Data Depth Measures.
Proceedings of The 2010 International Conference on Data Mining, 2010

An FPGA implemented 24-bit audio DAC with 1-bit sigma-delta modulator.
Proceedings of the IEEE Asia Pacific Conference on Circuits and Systems, 2010


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