Kaizhu Huang

Orcid: 0000-0002-3034-9639

According to our database1, Kaizhu Huang authored at least 312 papers between 2003 and 2025.

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Bibliography

2025
Revisiting 3D point cloud analysis with Markov process.
Pattern Recognit., 2025

Open-Pose 3D zero-shot learning: Benchmark and challenges.
Neural Networks, 2025

2024
ES-GNN: Generalizing Graph Neural Networks Beyond Homophily With Edge Splitting.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

Inter-feature Relationship Certifies Robust Generalization of Adversarial Training.
Int. J. Comput. Vis., December, 2024

EgPDE-Net: Building Continuous Neural Networks for Time Series Prediction With Exogenous Variables.
IEEE Trans. Cybern., September, 2024

Continuous Image Outpainting with Neural ODE.
ACM Trans. Multim. Comput. Commun. Appl., July, 2024

Can Perturbations Help Reduce Investment Risks? Risk-aware Stock Recommendation via Split Variational Adversarial Training.
ACM Trans. Inf. Syst., July, 2024

Absorb and Repel: Pseudo-Label Refinement for Intra-Camera Supervised Person Re-Identification.
IEEE Trans. Artif. Intell., June, 2024

Instance-Specific Model Perturbation Improves Generalized Zero-Shot Learning.
Neural Comput., May, 2024

Guest Editorial: Advances in Deep Learning for Clinical and Healthcare Applications.
Cogn. Comput., May, 2024

Scene Text Recognition via Dual-path Network with Shape-driven Attention Alignment.
ACM Trans. Multim. Comput. Commun. Appl., April, 2024

Learning Disentangled Graph Convolutional Networks Locally and Globally.
IEEE Trans. Neural Networks Learn. Syst., March, 2024

Machine Un-learning: An Overview of Techniques, Applications, and Future Directions.
Cogn. Comput., March, 2024

PointNu-Net: Keypoint-Assisted Convolutional Neural Network for Simultaneous Multi-Tissue Histology Nuclei Segmentation and Classification.
IEEE Trans. Emerg. Top. Comput. Intell., February, 2024

EPtask: Deep Reinforcement Learning Based Energy-Efficient and Priority-Aware Task Scheduling for Dynamic Vehicular Edge Computing.
IEEE Trans. Intell. Veh., January, 2024

Interpreting Black-Box Models: A Review on Explainable Artificial Intelligence.
Cogn. Comput., January, 2024

A generalizable framework for low-rank tensor completion with numerical priors.
Pattern Recognit., 2024

SaliencyCut: Augmenting plausible anomalies for anomaly detection.
Pattern Recognit., 2024

Perturbation diversity certificates robust generalization.
Neural Networks, 2024

Zero-shot text classification with knowledge resources under label-fully-unseen setting.
Neurocomputing, 2024

Covariance-based Space Regularization for Few-shot Class Incremental Learning.
CoRR, 2024

Interpret Your Decision: Logical Reasoning Regularization for Generalization in Visual Classification.
CoRR, 2024

Mind the Gap: Promoting Missing Modality Brain Tumor Segmentation with Alignment.
CoRR, 2024

CathAction: A Benchmark for Endovascular Intervention Understanding.
CoRR, 2024

EEG-Defender: Defending against Jailbreak through Early Exit Generation of Large Language Models.
CoRR, 2024

MedMAP: Promoting Incomplete Multi-modal Brain Tumor Segmentation with Alignment.
CoRR, 2024

Is Your Model Really A Good Math Reasoner? Evaluating Mathematical Reasoning with Checklist.
CoRR, 2024

Exploring Data Efficiency in Zero-Shot Learning with Diffusion Models.
CoRR, 2024

Revisiting Mutual Information Maximization for Generalized Category Discovery.
CoRR, 2024

SCMix: Stochastic Compound Mixing for Open Compound Domain Adaptation in Semantic Segmentation.
CoRR, 2024

Rethinking Information Loss in Medical Image Segmentation with Various-sized Targets.
CoRR, 2024

Rethinking Spectral Graph Neural Networks with Spatially Adaptive Filtering.
CoRR, 2024

DKE-Research at SemEval-2024 Task 2: Incorporating Data Augmentation with Generative Models and Biomedical Knowledge to Enhance Inference Robustness.
Proceedings of the 18th International Workshop on Semantic Evaluation, 2024

Document Registration: Towards Automated Labeling of Pixel-Level Alignment Between Warped-Flat Documents.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Lite-SVO: Towards A Lightweight Self-Supervised Semantic Visual Odometry Exploiting Multi-Feature Sharing Architecture.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Coarse-to-Fine Document Image Registration for Dewarping.
Proceedings of the Document Analysis and Recognition - ICDAR 2024 - 18th International Conference, Athens, Greece, August 30, 2024

Class Incremental Learning for Character String Recognition.
Proceedings of the Document Analysis and Recognition - ICDAR 2024 - 18th International Conference, Athens, Greece, August 30, 2024

Delving into Adversarial Robustness on Document Tampering Localization.
Proceedings of the Computer Vision - ECCV 2024, 2024

Rethinking Multi-Domain Generalization with A General Learning Objective.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

MathAttack: Attacking Large Language Models towards Math Solving Ability.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Semantic-Aware Data Augmentation for Text-to-Image Synthesis.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Unraveling Batch Normalization for Realistic Test-Time Adaptation.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Semantic Similarity Distance: Towards better text-image consistency metric in text-to-image generation.
Pattern Recognit., December, 2023

Robust generative adversarial network.
Mach. Learn., December, 2023

Multi-semantic hypergraph neural network for effective few-shot learning.
Pattern Recognit., October, 2023

FastAdaBelief: Improving Convergence Rate for Belief-Based Adaptive Optimizers by Exploiting Strong Convexity.
IEEE Trans. Neural Networks Learn. Syst., September, 2023

Self-supervised generative learning for sequential data prediction.
Appl. Intell., September, 2023

Towards better long-tailed oracle character recognition with adversarial data augmentation.
Pattern Recognit., August, 2023

Deep learning for brain age estimation: A systematic review.
Inf. Fusion, August, 2023

Mind the Gap: Alleviating Local Imbalance for Unsupervised Cross-Modality Medical Image Segmentation.
IEEE J. Biomed. Health Informatics, July, 2023

Explainable Tensorized Neural Ordinary Differential Equations for Arbitrary-Step Time Series Prediction.
IEEE Trans. Knowl. Data Eng., June, 2023

Towards Simple and Accurate Human Pose Estimation With Stair Network.
IEEE Trans. Emerg. Top. Comput. Intell., June, 2023

Aggregated pyramid gating network for human pose estimation without pre-training.
Pattern Recognit., June, 2023

Retrieval-based language model adaptation for handwritten Chinese text recognition.
Int. J. Document Anal. Recognit., June, 2023

Generalized image outpainting with U-transformer.
Neural Networks, May, 2023

Randomized block-coordinate adaptive algorithms for nonconvex optimization problems.
Eng. Appl. Artif. Intell., May, 2023

Towards Faster Training Algorithms Exploiting Bandit Sampling From Convex to Strongly Convex Conditions.
IEEE Trans. Emerg. Top. Comput. Intell., April, 2023

Fusing external knowledge resources for natural language understanding techniques: A survey.
Inf. Fusion, April, 2023

Minimum Power Adversarial Attacks in Communication Signal Modulation Classification with Deep Learning.
Cogn. Comput., March, 2023

Fitting Imbalanced Uncertainties in Multi-output Time Series Forecasting.
ACM Trans. Knowl. Discov. Data, 2023

Rebalanced Zero-Shot Learning.
IEEE Trans. Image Process., 2023

GSL-VO: A Geometric-Semantic Information Enhanced Lightweight Visual Odometry in Dynamic Environments.
IEEE Trans. Instrum. Meas., 2023

PointGS: Bridging and fusing geometric and semantic space for 3D point cloud analysis.
Inf. Fusion, 2023

Diff-Oracle: Diffusion Model for Oracle Character Generation with Controllable Styles and Contents.
CoRR, 2023

Polar-Doc: One-Stage Document Dewarping with Multi-Scope Constraints under Polar Representation.
CoRR, 2023

Diff-OP3D: Bridging 2D Diffusion for Open Pose 3D Zero-Shot Classification.
CoRR, 2023

Zero-Shot Medical Information Retrieval via Knowledge Graph Embedding.
CoRR, 2023

ShanshuiDaDA: An Interactive, Generative System towards Chinese Shanshui Painting.
CoRR, 2023

A Symbolic Character-Aware Model for Solving Geometry Problems.
CoRR, 2023

SaliencyCut: Augmenting Plausible Anomalies for Open-set Fine-Grained Anomaly Detection.
CoRR, 2023

Graph Neural Networks with Diverse Spectral Filtering.
Proceedings of the ACM Web Conference 2023, 2023

A Symbolic Characters Aware Model for Solving Geometry Problems.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Towards Deeper and Better Multi-view Feature Fusion for 3D Semantic Segmentation.
Proceedings of the Neural Information Processing - 30th International Conference, 2023

PAG: Protecting Artworks from Personalizing Image Generative Models.
Proceedings of the Neural Information Processing - 30th International Conference, 2023

Progressive Supervision for Tampering Localization in Document Images.
Proceedings of the Neural Information Processing - 30th International Conference, 2023

Improving Handwritten Mathematical Expression Recognition via an Attention Refinement Network.
Proceedings of the Neural Information Processing - 30th International Conference, 2023

Structure First Detail Next: Image Inpainting with Pyramid Generator.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

Context Does Matter: End-to-end Panoptic Narrative Grounding with Deformable Attention Refined Matching Network.
Proceedings of the IEEE International Conference on Data Mining, 2023

Decoupled Learning for Long-Tailed Oracle Character Recognition.
Proceedings of the Document Analysis and Recognition - ICDAR 2023, 2023

Divide and Conquer: 3D Point Cloud Instance Segmentation With Point-Wise Binarization.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Towards Better Robustness against Common Corruptions for Unsupervised Domain Adaptation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Multi-agent Reinforcement Learning Based Collaborative Multi-task Scheduling for Vehicular Edge Computing.
Proceedings of the Collaborative Computing: Networking, Applications and Worksharing, 2023

Explore Epistemic Uncertainty in Domain Adaptive Semantic Segmentation.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Visual-Textual Attention for Tree-Based Handwritten Mathematical Expression Recognition.
Proceedings of the Advances in Brain Inspired Cognitive Systems, 2023

Generalized W-Net: Arbitrary-Style Chinese Character Synthesization.
Proceedings of the Advances in Brain Inspired Cognitive Systems, 2023

Cipher-Prompt: Towards a Safe Diffusion Model via Learning Cryptographic Prompts.
Proceedings of the Advances in Brain Inspired Cognitive Systems, 2023

Learning by Analogy: Diverse Questions Generation in Math Word Problem.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Prompt-based Zero-shot Text Classification with Conceptual Knowledge.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics: Student Research Workshop, 2023

Rethinking Data Augmentation for Single-Source Domain Generalization in Medical Image Segmentation.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Efficient link prediction model for real-world complex networks using matrix-forest metric with local similarity features.
J. Complex Networks, August, 2022

Exploiting Attention-Consistency Loss For Spatial-Temporal Stream Action Recognition.
ACM Trans. Multim. Comput. Commun. Appl., 2022

Disentangling Semantic-to-Visual Confusion for Zero-Shot Learning.
IEEE Trans. Multim., 2022

A Novel 3D Unsupervised Domain Adaptation Framework for Cross-Modality Medical Image Segmentation.
IEEE J. Biomed. Health Informatics, 2022

Multi-Model Running Latency Optimization in an Edge Computing Paradigm.
Sensors, 2022

Robustness of Deep Learning-Based Specific Emitter Identification under Adversarial Attacks.
Remote. Sens., 2022

Unsupervised domain adaptation in homogeneous distance space for person re-identification.
Pattern Recognit., 2022

End-to-end weakly supervised semantic segmentation with reliable region mining.
Pattern Recognit., 2022

A survey of robust adversarial training in pattern recognition: Fundamental, theory, and methodologies.
Pattern Recognit., 2022

Sparse matrix factorization with L2, 1 norm for matrix completion.
Pattern Recognit., 2022

Re-thinking model robustness from stability: a new insight to defend adversarial examples.
Mach. Learn., 2022

Zero-Shot Text Classification via Knowledge Graph Embedding for Social Media Data.
IEEE Internet Things J., 2022

Towards Deeper and Better Multi-view Feature Fusion for 3D Semantic Segmentation.
CoRR, 2022

Towards Better Text-Image Consistency in Text-to-Image Generation.
CoRR, 2022

Mind The Gap: Alleviating Local Imbalance for Unsupervised Cross-Modality Medical Image Segmentation.
CoRR, 2022

From 2D Images to 3D Model: Weakly Supervised Multi-View Face Reconstruction with Deep Fusion.
CoRR, 2022

Generalised Image Outpainting with U-Transformer.
CoRR, 2022

LightAdam: Towards a Fast and Accurate Adaptive Momentum Online Algorithm.
Cogn. Comput., 2022

Granular Computing and Three-way Decisions for Cognitive Analytics.
Cogn. Comput., 2022

Music-CRN: an Efficient Content-Based Music Classification and Recommendation Network.
Cogn. Comput., 2022

Generalised Zero-shot Learning for Entailment-based Text Classification with External Knowledge.
Proceedings of the 2022 IEEE International Conference on Smart Computing, 2022

Harnessing Multi-Semantic Hypergraph for Few-Shot Learning.
Proceedings of the Pattern Recognition and Computer Vision - 5th Chinese Conference, 2022

Certifying Better Robust Generalization for Unsupervised Domain Adaptation.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Rethinking Image Inpainting with Attention Feature Fusion.
Proceedings of the Neural Information Processing - 29th International Conference, 2022

Towards Accurate Alignment and Sufficient Context in Scene Text Recognition.
Proceedings of the Neural Information Processing - 29th International Conference, 2022

Outpainting by Queries.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
Automated Social Text Annotation With Joint Multilabel Attention Networks.
IEEE Trans. Neural Networks Learn. Syst., 2021

A Multipath Fusion Strategy Based Single Shot Detector.
Sensors, 2021

Manifold adversarial training for supervised and semi-supervised learning.
Neural Networks, 2021

Improving generative adversarial networks with simple latent distributions.
Neural Comput. Appl., 2021

Artificial Intelligence in Collaborative Computing.
Mob. Networks Appl., 2021

Domain adaptation with feature and label adversarial networks.
Neurocomputing, 2021

Coarse-grained generalized zero-shot learning with efficient self-focus mechanism.
Neurocomputing, 2021

Residual attention-based multi-scale script identification in scene text images.
Neurocomputing, 2021

Novel Artificial Immune Networks-based optimization of shallow machine learning (ML) classifiers.
Expert Syst. Appl., 2021

Multi-modal generative adversarial networks for traffic event detection in smart cities.
Expert Syst. Appl., 2021

PointNu-Net: Simultaneous Multi-tissue Histology Nuclei Segmentation and Classification in the Clinical Wild.
CoRR, 2021

AD-GAN: End-to-end Unsupervised Nuclei Segmentation with Aligned Disentangling Training.
CoRR, 2021

Improving Model Robustness with Latent Distribution Locally and Globally.
CoRR, 2021

Structure First Detail Next: Image Inpainting with Pyramid Generator.
CoRR, 2021

Reborn Mechanism: Rethinking the Negative Phase Information Flow in Convolutional Neural Network.
CoRR, 2021

FastAdaBelief: Improving Convergence Rate for Belief-based Adaptive Optimizer by Strong Convexity.
CoRR, 2021

LGD-GCN: Local and Global Disentangled Graph Convolutional Networks.
CoRR, 2021

Partial Differential Equations is All You Need for Generating Neural Architectures - A Theory for Physical Artificial Intelligence Systems.
CoRR, 2021

Scaffold-A549: A Benchmark 3D Fluorescence Image Dataset for Unsupervised Nuclei Segmentation.
Cogn. Comput., 2021

State Primitive Learning to Overcome Catastrophic Forgetting in Robotics.
Cogn. Comput., 2021

Attention-Augmented Machine Memory.
Cogn. Comput., 2021

Style-Neutralized Pattern Classification Based on Adversarially Trained Upgraded U-Net.
Cogn. Comput., 2021

A Systematic Analysis of Link Prediction in Complex Network.
IEEE Access, 2021

Global-aware Beam Search for Neural Abstractive Summarization.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

A Segment-Based Layout Aware Model for Information Extraction on Document Images.
Proceedings of the Neural Information Processing - 28th International Conference, 2021

Towards Better Robust Generalization with Shift Consistency Regularization.
Proceedings of the 38th International Conference on Machine Learning, 2021

Mix-Up Augmentation for Oracle Character Recognition with Imbalanced Data Distribution.
Proceedings of the 16th International Conference on Document Analysis and Recognition, 2021

Gradient Distribution Alignment Certificates Better Adversarial Domain Adaptation.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Each Attribute Matters: Contrastive Attention for Sentence-based Image Editing.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020
Correlation Filter Selection for Visual Tracking Using Reinforcement Learning.
IEEE Trans. Circuits Syst. Video Technol., 2020

Segmentation mask guided end-to-end person search.
Signal Process. Image Commun., 2020

Compressing Deep Networks by Neuron Agglomerative Clustering.
Sensors, 2020

Generative adversarial classifier for handwriting characters super-resolution.
Pattern Recognit., 2020

Generative adversarial networks with decoder-encoder output noises.
Neural Networks, 2020

Encoding primitives generation policy learning for robotic arm to overcome catastrophic forgetting in sequential multi-tasks learning.
Neural Networks, 2020

Generative adversarial networks with mixture of t-distributions noise for diverse image generation.
Neural Networks, 2020

Novel deep neural network based pattern field classification architectures.
Neural Networks, 2020

Editorial: Collaborative Computing for Data-Driven Systems.
Mob. Networks Appl., 2020

Knowledge base enrichment by relation learning from social tagging data.
Inf. Sci., 2020

Improving deep neural network performance by integrating kernelized Min-Max objective.
Neurocomputing, 2020

Hybrid channel based pedestrian detection.
Neurocomputing, 2020

Triple loss for hard face detection.
Neurocomputing, 2020

Explainable Tensorized Neural Ordinary Differential Equations forArbitrary-step Time Series Prediction.
CoRR, 2020

Robust Generative Adversarial Network.
CoRR, 2020

Automatic Design of Deep Networks with Neural Blocks.
Cogn. Comput., 2020

Neural CAPTCHA networks.
Appl. Soft Comput., 2020

Multi-modal Adversarial Training for Crisis-related Data Classification on Social Media.
Proceedings of the IEEE International Conference on Smart Computing, 2020

Inductive Generalized Zero-Shot Learning with Adversarial Relation Network.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

Pay Attention Selectively and Comprehensively: Pyramid Gating Network for Human Pose Estimation without Pre-training.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Adversarial Domain Adaptation for Crisis Data Classification on Social Media.
Proceedings of the 2020 International Conferences on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, 2020

Maximum Power Point Tracking of Photovoltaic Systems Using Deep Q-networks.
Proceedings of the 18th IEEE International Conference on Industrial Informatics, 2020

Multi-scale Attention Consistency for Multi-label Image Classification.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

Feature Redirection Network for Few-Shot Classification.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

CDMC'19 - The 10th International Cybersecurity Data Mining Competition.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

MCRN: A New Content-Based Music Classification and Recommendation Network.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

Adversarial Rectification Network for Scene Text Regularization.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

Feature Representation Matters: End-to-End Learning for Reference-Based Image Super-Resolution.
Proceedings of the Computer Vision - ECCV 2020, 2020

A Covert Ultrasonic Phone-to-Phone Communication Scheme.
Proceedings of the Collaborative Computing: Networking, Applications and Worksharing, 2020

Reliability Does Matter: An End-to-End Weakly Supervised Semantic Segmentation Approach.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Towards Better Forecasting by Fusing Near and Distant Future Visions.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Guided Policy Search for Sequential Multitask Learning.
IEEE Trans. Syst. Man Cybern. Syst., 2019

Stochastic Conjugate Gradient Algorithm With Variance Reduction.
IEEE Trans. Neural Networks Learn. Syst., 2019

Context-Aware Human Activity and Smartphone Position-Mining with Motion Sensors.
Remote. Sens., 2019

IAN: The Individual Aggregation Network for Person Search.
Pattern Recognit., 2019

Cross-modality interactive attention network for multispectral pedestrian detection.
Inf. Fusion, 2019

Special issue on advances in graph algorithm and applications.
Neurocomputing, 2019

A Novel Deep Density Model for Unsupervised Learning.
Cogn. Comput., 2019

Discriminant Zero-Shot Learning with Center Loss.
Cogn. Comput., 2019

Improving Script Identification by Integrating Text Recognition Information.
Aust. J. Intell. Inf. Process. Syst., 2019

Joint Multi-Label Attention Networks for Social Text Annotation.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Mining human activity and smartphone position from motion sensors.
Proceedings of the 24th International Conference on Intelligent User Interfaces: Companion, 2019

MPSSD: Multi-Path Fusion Single Shot Detector.
Proceedings of the International Joint Conference on Neural Networks, 2019

Enhanced LSTM with Batch Normalization.
Proceedings of the Neural Information Processing - 26th International Conference, 2019

SimpleGAN Stabilizing Generative Adversarial Networks with Simple Distributions.
Proceedings of the 2019 International Conference on Data Mining Workshops, 2019

Generalized Adversarial Training in Riemannian Space.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

VSB-DVM: An End-to-End Bayesian Nonparametric Generalization of Deep Variational Mixture Model.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Primitives Generation Policy Learning without Catastrophic Forgetting for Robotic Manipulation.
Proceedings of the 2019 International Conference on Data Mining Workshops, 2019

Deep Minimax Probability Machine.
Proceedings of the 2019 International Conference on Data Mining Workshops, 2019

Random Features and Random Neurons for Brain-Inspired Big Data Analytics.
Proceedings of the 2019 International Conference on Data Mining Workshops, 2019

An Interactive and Generative Approach for Chinese Shanshui Painting Document.
Proceedings of the 2019 International Conference on Document Analysis and Recognition, 2019

Beyond Attributes: High-Order Attribute Features for Zero-Shot Learning.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Improving Disentanglement-Based Image-to-Image Translation with Feature Joint Block Fusion.
Proceedings of the Advances in Brain Inspired Cognitive Systems, 2019

Self-focus Deep Embedding Model for Coarse-Grained Zero-Shot Classification.
Proceedings of the Advances in Brain Inspired Cognitive Systems, 2019

Fine-Grained Image Classification with Object-Part Model.
Proceedings of the Advances in Brain Inspired Cognitive Systems, 2019

Action Recognition in Videos with Temporal Segments Fusions.
Proceedings of the Advances in Brain Inspired Cognitive Systems, 2019

Improving Image Caption Performance with Linguistic Context.
Proceedings of the Advances in Brain Inspired Cognitive Systems, 2019

Offline Arabic Handwriting Recognition Using Deep Machine Learning: A Review of Recent Advances.
Proceedings of the Advances in Brain Inspired Cognitive Systems, 2019

Long Short-Term Attention.
Proceedings of the Advances in Brain Inspired Cognitive Systems, 2019

2018
Zero-Shot Learning via Attribute Regression and Class Prototype Rectification.
IEEE Trans. Image Process., 2018

Learning Latent Features With Infinite Nonnegative Binary Matrix Trifactorization.
IEEE Trans. Emerg. Top. Comput. Intell., 2018

Banzhaf random forests: Cooperative game theory based random forests with consistency.
Neural Networks, 2018

Approximately optimizing NDCG using pair-wise loss.
Inf. Sci., 2018

A new two-layer mixture of factor analyzers with joint factor loading model for the classification of small dataset problems.
Neurocomputing, 2018

Siamese network ensemble for visual tracking.
Neurocomputing, 2018

Three-Dimensional Local Energy-Based Shape Histogram (3D-LESH): A Novel Feature Extraction Technique.
Expert Syst. Appl., 2018

Beyond Attributes: Adversarial Erasing Embedding Network for Zero-shot Learning.
CoRR, 2018

Manifold Adversarial Learning.
CoRR, 2018

Reducing and Stretching Deep Convolutional Activation Features for Accurate Image Classification.
Cogn. Comput., 2018

Learning from Few Samples with Memory Network.
Cogn. Comput., 2018

Accelerating Infinite Ensemble of Clustering by Pivot Features.
Cogn. Comput., 2018

Special Issue Editorial: Cognitively-Inspired Computing for Knowledge Discovery.
Cogn. Comput., 2018

Improving Deep Neural Network Performance with Kernelized Min-Max Objective.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

W-Net: One-Shot Arbitrary-Style Chinese Character Generation with Deep Neural Networks.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

Style Neutralization Generative Adversarial Classifier.
Proceedings of the Advances in Brain Inspired Cognitive Systems, 2018

2017
Field Support Vector Machines.
IEEE Trans. Emerg. Top. Comput. Intell., 2017

Novel Field-Support Vector Regression-Based Soft Sensor for Accurate Estimation of Solar Irradiance.
IEEE Trans. Circuits Syst. I Regul. Pap., 2017

Joint Learning of Unsupervised Dimensionality Reduction and Gaussian Mixture Model.
Neural Process. Lett., 2017

Customer churn prediction in the telecommunication sector using a rough set approach.
Neurocomputing, 2017

A Scalable Deep Neural Network Architecture for Multi-Building and Multi-Floor Indoor Localization Based on Wi-Fi Fingerprinting.
CoRR, 2017

Improve Deep Learning with Unsupervised Objective.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

Deep Mixtures of Factor Analyzers with Common Loadings: A Novel Deep Generative Approach to Clustering.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

Field Support Vector Regression.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

Integrated Discovery of Location Prediction Rules in Mobile Environment.
Proceedings of the 15th IEEE Intl Conf on Dependable, 2017

2016
A fast projected fixed-point algorithm for large graph matching.
Pattern Recognit., 2016

Ranking Entity Based on Both of Word Frequency and Word Sematic Features.
CoRR, 2016

Multicores and GPU utilization in parallel swarm algorithm for parameter estimation of photovoltaic cell model.
Appl. Soft Comput., 2016

Statistical Entity Ranking with Domain Knowledge.
Proceedings of the Natural Language Understanding and Intelligent Applications, 2016

Learning from Few Samples with Memory Network.
Proceedings of the Neural Information Processing - 23rd International Conference, 2016

Learning Latent Features with Infinite Non-negative Binary Matrix Tri-factorization.
Proceedings of the Neural Information Processing - 23rd International Conference, 2016

An Investigation of Machine Learning and Neural Computation Paradigms in the Design of Clinical Decision Support Systems (CDSSs).
Proceedings of the Advances in Brain Inspired Cognitive Systems, 2016

Lung cancer detection using Local Energy-based Shape Histogram (LESH) feature extraction and cognitive machine learning techniques.
Proceedings of the 15th IEEE International Conference on Cognitive Informatics & Cognitive Computing , 2016

2015
Hybrid Metaheuristic Algorithms: Past, Present, and Future.
Proceedings of the Recent Advances in Swarm Intelligence and Evolutionary Computation, 2015

MTC: A Fast and Robust Graph-Based Transductive Learning Method.
IEEE Trans. Neural Networks Learn. Syst., 2015

Learning Imbalanced Classifiers Locally and Globally with One-Side Probability Machine.
Neural Process. Lett., 2015

Maximum margin semi-supervised learning with irrelevant data.
Neural Networks, 2015

DE<sup>2</sup>: Dynamic ensemble of ensembles for learning nonstationary data.
Neurocomputing, 2015

WSDM'15 Workshop Summary / Scalable Data Analytics: Theory and Applications.
Proceedings of the Eighth ACM International Conference on Web Search and Data Mining, 2015

Two-layer Mixture of Factor Analyzers with Joint Factor Loading.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Is DeCAF Good Enough for Accurate Image Classification?
Proceedings of the Neural Information Processing - 22nd International Conference, 2015

A Unified Gradient Regularization Family for Adversarial Examples.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

2014
Learning Locality Preserving Graph from Data.
IEEE Trans. Cybern., 2014

Combination of Classification and Clustering Results with Label Propagation.
IEEE Signal Process. Lett., 2014

Robust Text Detection in Natural Scene Images.
IEEE Trans. Pattern Anal. Mach. Intell., 2014

Convex ensemble learning with sparsity and diversity.
Inf. Fusion, 2014

A novel classifier ensemble method with sparsity and diversity.
Neurocomputing, 2014

Graphical lasso quadratic discriminant function and its application to character recognition.
Neurocomputing, 2014

A Novel Hybrid Approach for Combining Deep and Traditional Neural Networks.
Proceedings of the Neural Information Processing - 21st International Conference, 2014

Text Categorization with Diversity Random Forests.
Proceedings of the Neural Information Processing - 21st International Conference, 2014

Unsupervised Dimensionality Reduction for Gaussian Mixture Model.
Proceedings of the Neural Information Processing - 21st International Conference, 2014

2013
A multi-task framework for metric learning with common subspace.
Neural Comput. Appl., 2013

Geometry preserving multi-task metric learning.
Mach. Learn., 2013

Robust Text Detection in Natural Scene Images
CoRR, 2013

Accurate and robust text detection: a step-in for text retrieval in natural scene images.
Proceedings of the 36th International ACM SIGIR conference on research and development in Information Retrieval, 2013

Fast kNN Graph Construction with Locality Sensitive Hashing.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

One-Side Probability Machine: Learning Imbalanced Classifiers Locally and Globally.
Proceedings of the Neural Information Processing - 20th International Conference, 2013

Dynamic Ensemble of Ensembles in Nonstationary Environments.
Proceedings of the Neural Information Processing - 20th International Conference, 2013

Feature Transformation with Class Conditional Decorrelation.
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

Efficient clinical decision making by learning from missing clinical data.
Proceedings of the 2013 IEEE Symposium on Computational Intelligence in Healthcare and e-health, 2013

2012
Maxi-Min discriminant analysis via online learning.
Neural Networks, 2012

Joint learning of error-correcting output codes and dichotomizers from data.
Neural Comput. Appl., 2012

Classifier Ensemble Using a Heuristic Learning with Sparsity and Diversity.
Proceedings of the Neural Information Processing - 19th International Conference, 2012

Manifold Regularized Multi-Task Learning.
Proceedings of the Neural Information Processing - 19th International Conference, 2012

Multiple Outlooks Learning with Support Vector Machines.
Proceedings of the Neural Information Processing - 19th International Conference, 2012

2011
m-SNE: Multiview Stochastic Neighbor Embedding.
IEEE Trans. Syst. Man Cybern. Part B, 2011

FMI image based rock structure classification using classifier combination.
Neural Comput. Appl., 2011

Exchange rate prediction with non-numerical information.
Neural Comput. Appl., 2011

Generalized sparse metric learning with relative comparisons.
Knowl. Inf. Syst., 2011

Pattern Field Classification with Style Normalized Transformation.
Proceedings of the IJCAI 2011, 2011

Multi-Task Low-Rank Metric Learning Based on Common Subspace.
Proceedings of the Neural Information Processing - 18th International Conference, 2011

Graphical Lasso Quadratic Discriminant Function for Character Recognition.
Proceedings of the Neural Information Processing - 18th International Conference, 2011

Low Rank Metric Learning with Manifold Regularization.
Proceedings of the 11th IEEE International Conference on Data Mining, 2011

Fast and Robust Graph-based Transductive Learning via Minimum Tree Cut.
Proceedings of the 11th IEEE International Conference on Data Mining, 2011

2010
Sparse learning for support vector classification.
Pattern Recognit. Lett., 2010

Robust Metric Learning by Smooth Optimization.
Proceedings of the UAI 2010, 2010

Dimensionality Reduction by Minimal Distance Maximization.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

Learning ECOC and Dichotomizers Jointly from Data.
Proceedings of the Neural Information Processing. Theory and Algorithms, 2010

Ellipse Detection with an Improved Randomized Hough Transform for Intellectual Phacoemulsification Surgery Systems.
Proceedings of the International Conference on Image Processing, 2010

Similar Handwritten Chinese Characters Recognition by Critical Region Selection Based on Average Symmetric Uncertainty.
Proceedings of the International Conference on Frontiers in Handwriting Recognition, 2010

2009
A novel kernel-based maximum a posteriori classification method.
Neural Networks, 2009

Arbitrary Norm Support Vector Machines.
Neural Comput., 2009

Localized support vector regression for time series prediction.
Neurocomputing, 2009

Enhanced protein fold recognition through a novel data integration approach.
BMC Bioinform., 2009

Sparse Metric Learning via Smooth Optimization.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Supervised Self-taught Learning: Actively transferring knowledge from unlabeled data.
Proceedings of the International Joint Conference on Neural Networks, 2009

A Rock Structure Recognition System Using FMI Images.
Proceedings of the Neural Information Processing, 16th International Conference, 2009

Exchange Rate Forecasting Using Classifier Ensemble.
Proceedings of the Neural Information Processing, 16th International Conference, 2009

GSML: A Unified Framework for Sparse Metric Learning.
Proceedings of the ICDM 2009, 2009

2008
Maxi-Min Margin Machine: Learning Large Margin Classifiers Locally and Globally.
IEEE Trans. Neural Networks, 2008

Efficient Minimax Clustering Probability Machine by Generalized Probability Product Kernel.
Proceedings of the International Joint Conference on Neural Networks, 2008

Semi-supervised Learning from General Unlabeled Data.
Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

Direct Zero-Norm Optimization for Feature Selection.
Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

Semi-supervised text categorization by active search.
Proceedings of the 17th ACM Conference on Information and Knowledge Management, 2008

A Scenario-View Based Approach to Analyze External Behavior of Web Services for Supporting Mediated Service Interactions.
Proceedings of the 2008 IEEE International Conference on Services Computing (SCC 2008), 2008

2007
Kernel Maximum a Posteriori Classification with Error Bound Analysis.
Proceedings of the Neural Information Processing, 14th International Conference, 2007

Degraded Character Recognition by Complementary Classifiers Combination.
Proceedings of the 9th International Conference on Document Analysis and Recognition (ICDAR 2007), 2007

An SVM-Based High-accurate Recognition Approach for Handwritten Numerals by Using Difference Features.
Proceedings of the 9th International Conference on Document Analysis and Recognition (ICDAR 2007), 2007

2006
Imbalanced learning with a biased minimax probability machine.
IEEE Trans. Syst. Man Cybern. Part B, 2006

Maximizing sensitivity in medical diagnosis using biased minimax probability Machine.
IEEE Trans. Biomed. Eng., 2006

Local Support Vector Regression for Financial Time Series Prediction.
Proceedings of the International Joint Conference on Neural Networks, 2006

A Hybrid Handwritten Chinese Address Recognition Approach.
Proceedings of the Neural Information Processing, 13th International Conference, 2006

2004
Learning from data locally and globally.
PhD thesis, 2004

The Minimum Error Minimax Probability Machine.
J. Mach. Learn. Res., 2004

Biased Minimax Probability Machine for Medical Diagnosis.
Proceedings of the International Symposium on Artificial Intelligence and Mathematics, 2004

Outliers Treatment in Support Vector Regression for Financial Time Series Prediction.
Proceedings of the Neural Information Processing, 11th International Conference, 2004

Learning large margin classifiers locally and globally.
Proceedings of the Machine Learning, 2004

Learning Classifiers from Imbalanced Data Based on Biased Minimax Probability Machine.
Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2004), with CD-ROM, 27 June, 2004

2003
Finite Mixture Model of Bounded Semi-naive Bayesian Networks Classifier.
Proceedings of the Artificial Neural Networks and Neural Information Processing, 2003


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