Zhanyu Ma

Orcid: 0000-0003-2950-2488

According to our database1, Zhanyu Ma authored at least 227 papers between 2008 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Semi-Supervised Learning for FGVC With Out-of-Category Data.
IEEE Trans. Pattern Anal. Mach. Intell., May, 2024

CreativeSeg: Semantic Segmentation of Creative Sketches.
IEEE Trans. Image Process., 2024

Benchmarking Segmentation Models with Mask-Preserved Attribute Editing.
CoRR, 2024

Dual-Prior Augmented Decoding Network for Long Tail Distribution in HOI Detection.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Locally-Enriched Cross-Reconstruction for Few-Shot Fine-Grained Image Classification.
IEEE Trans. Circuits Syst. Video Technol., December, 2023

Making a Bird AI Expert Work for You and Me.
IEEE Trans. Pattern Anal. Mach. Intell., October, 2023

Deep metric learning for few-shot image classification: A Review of recent developments.
Pattern Recognit., June, 2023

On the Comparisons of Decorrelation Approaches for Non-Gaussian Neutral Vector Variables.
IEEE Trans. Neural Networks Learn. Syst., April, 2023

Sketch-Segformer: Transformer-Based Segmentation for Figurative and Creative Sketches.
IEEE Trans. Image Process., 2023

A Real-Time Memory Updating Strategy for Unsupervised Person Re-Identification.
IEEE Trans. Image Process., 2023

Amplification Enhanced Measurement Scheme of Pump-Dependent Dispersion in EDF Based on OLCR.
IEEE Trans. Instrum. Meas., 2023

ACTUAL: Audio Captioning With Caption Feature Space Regularization.
IEEE ACM Trans. Audio Speech Lang. Process., 2023

ReNAP: Relation network with adaptiveprototypical learning for few-shot classification.
Neurocomputing, 2023

Vision-language Assisted Attribute Learning.
CoRR, 2023

DemoFusion: Democratising High-Resolution Image Generation With No $$$.
CoRR, 2023

HumanRecon: Neural Reconstruction of Dynamic Human Using Geometric Cues and Physical Priors.
CoRR, 2023

LaDA: Latent Dialogue Action For Zero-shot Cross-lingual Neural Network Language Modeling.
CoRR, 2023

Image Generation Based Intra-class Variance Smoothing for Fine-Grained Visual Classification.
Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

Plugging Stylized Controls in Open-Stylized Image Captioning.
Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

Focus the Overlapping Problem on Few-Shot Object Detection via Multiple Predictions.
Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

Hierarchical Visual Attribute Learning in the Wild.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Category-Specific Prompts for Animal Action Recognition with Pretrained Vision-Language Models.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

KSRL: Knowledge Selection Based Reinforcement Learning for Knowledge-Grounded Dialogue.
Proceedings of the Knowledge Science, Engineering and Management, 2023

Bilinear Adversarial Network for Fine-Grained Domain Adaptation.
Proceedings of the 8th IEEE International Conference on Network Intelligence and Digital Content, 2023

Vision-Language Assisted Attribute Learning.
Proceedings of the 8th IEEE International Conference on Network Intelligence and Digital Content, 2023

Attribute Learning with Knowledge Enhanced Partial Annotations.
Proceedings of the IEEE International Conference on Image Processing, 2023

Self-Enhanced Training Framework for Referring Expression Grounding.
Proceedings of the IEEE International Conference on Image Processing, 2023

Multi-semantic Fusion Model For Generalized Zero-Shot Skeleton-Based Action Recognition.
Proceedings of the Image and Graphics - 12th International Conference, 2023

Task-aware Adaptive Learning for Cross-domain Few-shot Learning.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Multi-View Active Fine-Grained Visual Recognition.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Semantic Memory Guided Image Representation for Polyp Segmentation.
Proceedings of the IEEE International Conference on Acoustics, 2023

Super-Resolution Information Enhancement for Crowd Counting.
Proceedings of the IEEE International Conference on Acoustics, 2023

On-the-Fly Category Discovery.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

An Erudite Fine-Grained Visual Classification Model.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Multi-Frequency Feature Enhancement for Multi-Granularity Visual Classification.
Proceedings of the Asia Pacific Signal and Information Processing Association Annual Summit and Conference, 2023

Bi-directional Feature Reconstruction Network for Fine-Grained Few-Shot Image Classification.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Dirichlet Process Mixture of Generalized Inverted Dirichlet Distributions for Positive Vector Data With Extended Variational Inference.
IEEE Trans. Neural Networks Learn. Syst., 2022

Actor and Action Modular Network for Text-Based Video Segmentation.
IEEE Trans. Image Process., 2022

Learning Calibrated Class Centers for Few-Shot Classification by Pair-Wise Similarity.
IEEE Trans. Image Process., 2022

Exploring Local Detail Perception for Scene Sketch Semantic Segmentation.
IEEE Trans. Image Process., 2022

A Distributed Bonding Interfacial Loss Characterizing Method of Composite Crystal Based on Optical Low-Coherence Domain Reflectometry.
IEEE Trans. Instrum. Meas., 2022

Unsupervised person re-identification via simultaneous clustering and mask prediction.
Pattern Recognit., 2022

MPCCL: Multiview predictive coding with contrastive learning for person re-identification.
Pattern Recognit., 2022

Advanced Dropout: A Model-Free Methodology for Bayesian Dropout Optimization.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

GPCA: A Probabilistic Framework for Gaussian Process Embedded Channel Attention.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Progressive Learning of Category-Consistent Multi-Granularity Features for Fine-Grained Visual Classification.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Dual-granularity feature alignment for cross-modality person re-identification.
Neurocomputing, 2022

Multi-View Active Fine-Grained Recognition.
CoRR, 2022

Caption Feature Space Regularization for Audio Captioning.
CoRR, 2022

Domain Generalization via Frequency-based Feature Disentanglement and Interaction.
CoRR, 2022

ENDE-GNN: An Encoder-decoder GNN Framework for Sketch Semantic Segmentation.
Proceedings of the IEEE International Conference on Visual Communications and Image Processing, 2022

Cross-Layer Feature based Multi-Granularity Visual Classification.
Proceedings of the IEEE International Conference on Visual Communications and Image Processing, 2022

Multi-modal Human-machine Conversation System for Real Physical World.
Proceedings of the 24th IEEE International Workshop on Multimedia Signal Processing, 2022

Complex Scenario-Oriented Fine-Grained Visual Classification Platform.
Proceedings of the 24th IEEE International Workshop on Multimedia Signal Processing, 2022

Domain Generalization via Frequency-domain-based Feature Disentanglement and Interaction.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Duplex Contextual Relation Network For Polyp Segmentation.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

Improving Image Paragraph Captioning with Dual Relations.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

Structured Dropconnect for Uncertainty Inference in Image Classification.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Learning Invariant Visual Representations for Compositional Zero-Shot Learning.
Proceedings of the Computer Vision, 2022

ScaleNet: Searching for the Model to Scale.
Proceedings of the Computer Vision - ECCV 2022, 2022

HCLD: A Hierarchical Framework for Zero-shot Cross-lingual Dialogue System.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Unsupervised Domain Adaptation for Semantic Segmentation with Global and Local Consistency.
Proceedings of the Artificial Intelligence - Second CAAI International Conference, 2022

2021
Deep Learning-Based Computer Vision for Surveillance in ITS: Evaluation of State-of-the-Art Methods.
IEEE Trans. Veh. Technol., 2021

DS-UI: Dual-Supervised Mixture of Gaussian Mixture Models for Uncertainty Inference in Image Recognition.
IEEE Trans. Image Process., 2021

BSNet: Bi-Similarity Network for Few-shot Fine-grained Image Classification.
IEEE Trans. Image Process., 2021

AP-CNN: Weakly Supervised Attention Pyramid Convolutional Neural Network for Fine-Grained Visual Classification.
IEEE Trans. Image Process., 2021

Fine-Grained Instance-Level Sketch-Based Video Retrieval.
IEEE Trans. Circuits Syst. Video Technol., 2021

ReMarNet: Conjoint Relation and Margin Learning for Small-Sample Image Classification.
IEEE Trans. Circuits Syst. Video Technol., 2021

Dilated-Scale-Aware Category-Attention ConvNet for Multi-Class Object Counting.
IEEE Signal Process. Lett., 2021

Generalisations of stochastic supervision models.
Pattern Recognit., 2021

Competing ratio loss for discriminative multi-class image classification.
Neurocomputing, 2021

Guest Editorial: Special issue on deep learning with small samples.
Neurocomputing, 2021

A concise review of recent few-shot meta-learning methods.
Neurocomputing, 2021

Deep InterBoost networks for small-sample image classification.
Neurocomputing, 2021

Clue Me In: Semi-Supervised FGVC with Out-of-Distribution Data.
CoRR, 2021

Making a Bird AI Expert Work for You and Me.
CoRR, 2021

Structured DropConnect for Uncertainty Inference in Image Classification.
CoRR, 2021

Deep Metric Learning for Few-Shot Image Classification: A Selective Review.
CoRR, 2021

DF^2AM: Dual-level Feature Fusion and Affinity Modeling for RGB-Infrared Cross-modality Person Re-identification.
CoRR, 2021

Unsupervised Person Re-identification via Simultaneous Clustering and Consistency Learning.
CoRR, 2021

Fine-Grained Visual Classification via Simultaneously Learning of Multi-regional Multi-grained Features.
CoRR, 2021

ATRM: Attention-based Task-level Relation Module for GNN-based Few-shot Learning.
CoRR, 2021

Progressive Co-Attention Network for Fine-Grained Visual Classification.
Proceedings of the International Conference on Visual Communications and Image Processing, 2021

TLRM: Task-level Relation Module for GNN-based Few-Shot Learning.
Proceedings of the International Conference on Visual Communications and Image Processing, 2021

Exploring Category-Shared and Category-Specific Features for Fine-Grained Image Classification.
Proceedings of the Pattern Recognition and Computer Vision - 4th Chinese Conference, 2021

S2TD: A Tree-Structured Decoder for Image Paragraph Captioning.
Proceedings of the MMAsia '21: ACM Multimedia Asia, Gold Coast, Australia, December 1, 2021

Cross-layer Navigation Convolutional Neural Network for Fine-grained Visual Classification.
Proceedings of the MMAsia '21: ACM Multimedia Asia, Gold Coast, Australia, December 1, 2021

GRAD-CAM Guided Channel-Spatial Attention Module for Fine-Grained Visual Classification.
Proceedings of the 2021 IEEE 31st International Workshop on Machine Learning for Signal Processing (MLSP), 2021

Privacy-Preserving Verifiable Collaborative Learning with Chain Aggregation.
Proceedings of the 7th IEEE International Conference on Network Intelligence and Digital Content, 2021

Robust Augmentations for Small Object Detection of Aerial Images.
Proceedings of the 7th IEEE International Conference on Network Intelligence and Digital Content, 2021

A Probabilistic Expression System for Fingerprint Identification Findings Based on Stability.
Proceedings of the 7th IEEE International Conference on Network Intelligence and Digital Content, 2021

Knowledge Transfer Based Fine-Grained Visual Classification.
Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

CMF: Cascaded Multi-Model Fusion For Referring Image Segmentation.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Part Uncertainty Estimation Convolutional Neural Network For Person Re-Identification.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Your "Flamingo" is My "Bird": Fine-Grained, or Not.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Channel DropBlock: An Improved Regularization Method for Fine-Grained Visual Classification.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021

Entailment Method Based on Template Selection for Chinese Text Few-shot Learning.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2021

Image Captioning Based on An Improved Transformer with IoU Position Encoding.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2021

Dual Graph Convolutional Networks for Aspect-based Sentiment Analysis.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
Guest Editorial Special Issue on Recent Advances in Theory, Methodology, and Applications of Imbalanced Learning.
IEEE Trans. Neural Networks Learn. Syst., 2020

Insights Into Multiple/Single Lower Bound Approximation for Extended Variational Inference in Non-Gaussian Structured Data Modeling.
IEEE Trans. Neural Networks Learn. Syst., 2020

OSLNet: Deep Small-Sample Classification With an Orthogonal Softmax Layer.
IEEE Trans. Image Process., 2020

The Devil is in the Channels: Mutual-Channel Loss for Fine-Grained Image Classification.
IEEE Trans. Image Process., 2020

Fine-Grained Age Estimation in the Wild With Attention LSTM Networks.
IEEE Trans. Circuits Syst. Video Technol., 2020

Semi-Heterogeneous Three-Way Joint Embedding Network for Sketch-Based Image Retrieval.
IEEE Trans. Circuits Syst. Video Technol., 2020

Deep Neural Network-Based Impacts Analysis of Multimodal Factors on Heat Demand Prediction.
IEEE Trans. Big Data, 2020

Clustering Analysis in the Wireless Propagation Channel with a Variational Gaussian Mixture Model.
IEEE Trans. Big Data, 2020

Dilated-Scale-Aware Attention ConvNet For Multi-Class Object Counting.
CoRR, 2020

Your "Labrador" is My "Dog": Fine-Grained, or Not.
CoRR, 2020

DS-UI: Dual-Supervised Mixture of Gaussian Mixture Models for Uncertainty Inference.
CoRR, 2020

Actor and Action Modular Network for Text-based Video Segmentation.
CoRR, 2020

Advanced Dropout: A Model-free Methodology for Bayesian Dropout Optimization.
CoRR, 2020

SSKD: Self-Supervised Knowledge Distillation for Cross Domain Adaptive Person Re-Identification.
CoRR, 2020

Channel Attention with Embedding Gaussian Process: A Probabilistic Methodology.
CoRR, 2020

Mind the Gap: Enlarging the Domain Gap in Open Set Domain Adaptation.
CoRR, 2020

Object-Oriented Video Captioning with Temporal Graph and Prior Knowledge Building.
CoRR, 2020

Weakly Supervised Attention Pyramid Convolutional Neural Network for Fine-Grained Visual Classification.
CoRR, 2020

Understanding Objects in Video: Object-Oriented Video Captioning via Structured Trajectory and Adversarial Learning.
IEEE Access, 2020

IEEE Access Special Section Editorial: AI-Driven Big Data Processing: Theory, Methodology, and Applications.
IEEE Access, 2020

Global Context Enhanced Multi-modal Fusion for Referring Image Segmentation.
Proceedings of the Pattern Recognition and Computer Vision, Third Chinese Conference, 2020

Dual-attention Guided Dropblock Module for Weakly Supervised Object Localization.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

CC-Loss: Channel Correlation Loss for Image Classification.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

IU-Module: Intersection and Union Module for Fine-Grained Visual Classification.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2020

GINet: Graph Interaction Network for Scene Parsing.
Proceedings of the Computer Vision - ECCV 2020, 2020

Fine-Grained Visual Classification via Progressive Multi-granularity Training of Jigsaw Patches.
Proceedings of the Computer Vision - ECCV 2020, 2020

Speaker Verification System Based on Deformable CNN and Time-Frequency Attention.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2020

Anti-Noise Relation Network for Few-shot Learning.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2020

Adaptive Multi-prototype Relation Network.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2020

2019
Knowledge-Driven Service Offloading Decision for Vehicular Edge Computing: A Deep Reinforcement Learning Approach.
IEEE Trans. Veh. Technol., 2019

Short Utterance Based Speech Language Identification in Intelligent Vehicles With Time-Scale Modifications and Deep Bottleneck Features.
IEEE Trans. Veh. Technol., 2019

Fine-Grained Vehicle Classification With Channel Max Pooling Modified CNNs.
IEEE Trans. Veh. Technol., 2019

Dual Cross-Entropy Loss for Small-Sample Fine-Grained Vehicle Classification.
IEEE Trans. Veh. Technol., 2019

Variational Bayesian Learning for Dirichlet Process Mixture of Inverted Dirichlet Distributions in Non-Gaussian Image Feature Modeling.
IEEE Trans. Neural Networks Learn. Syst., 2019

Image-text dual neural network with decision strategy for small-sample image classification.
Neurocomputing, 2019

Channel Max Pooling Layer for Fine-Grained Vehicle Classification.
CoRR, 2019

On the Convergence of Extended Variational Inference for Non-Gaussian Statistical Models.
CoRR, 2019

Vehicular Edge Computing via Deep Reinforcement Learning.
CoRR, 2019

Shoe-Print Image Retrieval With Multi-Part Weighted CNN.
IEEE Access, 2019

FICAL: Focal Inter-Class Angular Loss for Image Classification.
Proceedings of the 2019 IEEE Visual Communications and Image Processing, 2019

Competing Ratio Loss for Multi-class image Classification.
Proceedings of the 2019 IEEE Visual Communications and Image Processing, 2019

Soft Dropout And Its Variational Bayes Approximation.
Proceedings of the 29th IEEE International Workshop on Machine Learning for Signal Processing, 2019

Channel Max Pooling for Image Classification.
Proceedings of the Intelligence Science and Big Data Engineering. Visual Data Engineering, 2019

Deep Zero-Shot Learning for Scene Sketch.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Channel-Wise and Feature-Points Reweights Densenet for Image Classification.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Small-Sample Image Classification Method of Combining Prototype and Margin Learning.
Proceedings of the 2019 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2019

Mixed Attention Mechanism for Small-Sample Fine-grained Image Classification.
Proceedings of the 2019 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2019

A Loss With Mixed Penalty for Speech Enhancement Generative Adversarial Network.
Proceedings of the 2019 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2019

Dynamic Attention Loss for Small-Sample Image Classification.
Proceedings of the 2019 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2019

2018
A Survey on Machine Learning-Based Mobile Big Data Analysis: Challenges and Applications.
Wirel. Commun. Mob. Comput., 2018

Spoofing Detection in Automatic Speaker Verification Systems Using DNN Classifiers and Dynamic Acoustic Features.
IEEE Trans. Neural Networks Learn. Syst., 2018

Decorrelation of Neutral Vector Variables: Theory and Applications.
IEEE Trans. Neural Networks Learn. Syst., 2018

LRID: A new metric of multi-class imbalance degree based on likelihood-ratio test.
Pattern Recognit. Lett., 2018

Cross-modal subspace learning for fine-grained sketch-based image retrieval.
Neurocomputing, 2018

Recent advances in machine learning for non-Gaussian data processing.
Neurocomputing, 2018

Corrigendum to "Supervised latent Dirichlet allocation with a mixture of sparse softmax" [Neurocomputing, volume 312, 27 October 2018, Pages 324-335].
Neurocomputing, 2018

Supervised latent Dirichlet allocation with a mixture of sparse softmax.
Neurocomputing, 2018

Language Identification with Deep Bottleneck Features.
CoRR, 2018

Impacts of Weather Conditions on District Heat System.
CoRR, 2018

Statistical Speech Model Description with VMF Mixture Model.
CoRR, 2018

Histogram Transform-based Speaker Identification.
CoRR, 2018

Dirichlet Mixture Model based VQ Performance Prediction for Line Spectral Frequency.
CoRR, 2018

Classification of EEG Signal based on non-Gaussian Neutral Vector.
CoRR, 2018

Mobile big data analysis with machine learning.
CoRR, 2018

SEA: A Combined Model for Heat Demand Prediction.
CoRR, 2018

Infinite Mixture of Inverted Dirichlet Distributions.
CoRR, 2018

IEEE Access Special Section Editorial: Recent Advantages of Computer Vision.
IEEE Access, 2018

Clustering in wireless propagation channel with a statistics-based framework.
Proceedings of the 2018 IEEE Wireless Communications and Networking Conference, 2018

Balson: Bayesian least squares Optimization with Nonnegative L1-norm Constraint.
Proceedings of the 28th IEEE International Workshop on Machine Learning for Signal Processing, 2018

SketchMate: Deep Hashing for Million-Scale Human Sketch Retrieval.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

SSE: A New Selective Initialization Strategy for Snapshot Ensembling.
Proceedings of the 5th IEEE International Conference on Cloud Computing and Intelligence Systems, 2018

2017
The Role of Data Analysis in the Development of Intelligent Energy Networks.
IEEE Netw., 2017

Data scheme-based wireless channel modeling method: motivation, principle and performance.
J. Commun. Inf. Networks, 2017

DNN Filter Bank Cepstral Coefficients for Spoofing Detection.
CoRR, 2017

DNN Filter Bank Cepstral Coefficients for Spoofing Detection.
IEEE Access, 2017

Adversarial Network Bottleneck Features for Noise Robust Speaker Verification.
Proceedings of the Interspeech 2017, 2017

A PCA-based modeling method for wireless MIMO channel.
Proceedings of the 2017 IEEE Conference on Computer Communications Workshops, 2017

Image-Text Dual Model for Small-Sample Image Classification.
Proceedings of the Computer Vision - Second CCF Chinese Conference, 2017

2016
Mining Sequential Update Summarization with Hierarchical Text Analysis.
Mob. Inf. Syst., 2016

A Comprehensive Review of Smart Energy Meters in Intelligent Energy Networks.
IEEE Internet Things J., 2016

Feature selection for neutral vector in EEG signal classification.
Neurocomputing, 2016

User location prediction with energy efficiency model in the Long Term-Evolution network.
Int. J. Commun. Syst., 2016

Learning Deep Features for DNA Methylation Data Analysis.
IEEE Access, 2016

Text-Independent Speaker Identification Using the Histogram Transform Model.
IEEE Access, 2016

Effect of multi-condition training and speech enhancement methods on spoofing detection.
Proceedings of the First International Workshop on Sensing, 2016

User intention understanding from scratch.
Proceedings of the First International Workshop on Sensing, 2016

Cycled merging registration of point clouds for 3D human body modeling.
Proceedings of the First International Workshop on Sensing, 2016

Oscillation Resolution for Massive Cell Phone Traffic Data.
Proceedings of the First Workshop on Mobile Data, 2016

Activation force-based air pollution tracing.
Proceedings of the IEEE International Conference on Network Infrastructure and Digital Content, 2016

Cross-modal subspace learning for sketch-based image retrieval: A comparative study.
Proceedings of the IEEE International Conference on Network Infrastructure and Digital Content, 2016

Instance-Level Coupled Subspace Learning for Fine-Grained Sketch-Based Image Retrieval.
Proceedings of the Computer Vision - ECCV 2016 Workshops, 2016

Detecting formula based on Stroke Width Transform for online Chinese examination question retrieval.
Proceedings of the Digital Media Industry & Academic Forum, 2016

2015
Line spectral frequencies modeling by a mixture of von Mises-Fisher distributions.
Signal Process., 2015

Variational Bayesian Matrix Factorization for Bounded Support Data.
IEEE Trans. Pattern Anal. Mach. Intell., 2015

Mining activation force defined dependency patterns for relation extraction.
Knowl. Based Syst., 2015

Construction of semantic bootstrapping models for relation extraction.
Knowl. Based Syst., 2015

Probabilistic Multiview Depth Image Enhancement Using Variational Inference.
IEEE J. Sel. Top. Signal Process., 2015

Multi-label learning with prior knowledge for facial expression analysis.
Neurocomputing, 2015

Activation Force-based Air Pollution Observation Station Clustering.
EAI Endorsed Trans. Wirel. Spectr., 2015

Generating Realistic Labelled, Weighted Random Graphs.
Algorithms, 2015

A multi-level system for sequential update summarization.
Proceedings of the 11th International Conference on Heterogeneous Networking for Quality, 2015

Binary pattern flavored feature extractors for Facial Expression Recognition: An overview.
Proceedings of the 38th International Convention on Information and Communication Technology, 2015

2014
Predictive Distribution of the Dirichlet Mixture Model by Local Variational Inference.
J. Signal Process. Syst., 2014

Dirichlet mixture modeling to estimate an empirical lower bound for LSF quantization.
Signal Process., 2014

Bayesian estimation of Dirichlet mixture model with variational inference.
Pattern Recognit., 2014

Bayesian Estimation of the von-Mises Fisher Mixture Model with Variational Inference.
IEEE Trans. Pattern Anal. Mach. Intell., 2014

Supervoxels for human and clothes in RGB-D image.
Proceedings of the 4th International Conference on Wireless Communications, 2014

Nonlinear estimation of missing ΔLSF parameters by a mixture of Dirichlet distributions.
Proceedings of the IEEE International Conference on Acoustics, 2014

Histogram transform model using MFCC features for text-independent speaker identification.
Proceedings of the 48th Asilomar Conference on Signals, Systems and Computers, 2014

2013
A Cross-Domain Recommendation Model for Cyber-Physical Systems.
IEEE Trans. Emerg. Top. Comput., 2013

Vector quantization of LSF parameters with a mixture of dirichlet distributions.
IEEE Trans. Speech Audio Process., 2013

A variational Bayes beta Mixture Model for Feature Selection in DNA methylation Studies.
J. Bioinform. Comput. Biol., 2013

On von-mises fisher mixture model in text-independent speaker identification.
Proceedings of the INTERSPEECH 2013, 2013

Multiview depth map enhancement by variational bayes inference estimation of Dirichlet mixture models.
Proceedings of the IEEE International Conference on Acoustics, 2013

2012
EEG signal classification with super-Dirichlet mixture model.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2012

A model-based collaborative filtering method for bounded support data.
Proceedings of the 3rd IEEE International Conference on Network Infrastructure and Digital Content, 2012

Bayesian estimation of the Dirichlet distribution with expectation propagation.
Proceedings of the 20th European Signal Processing Conference, 2012

2011
Non-Gaussian Statistical Modelsand Their Applications.
PhD thesis, 2011

Bayesian Estimation of Beta Mixture Models with Variational Inference.
IEEE Trans. Pattern Anal. Mach. Intell., 2011

Approximating the predictive distribution of the beta distribution with the local variational method.
Proceedings of the 2011 IEEE International Workshop on Machine Learning for Signal Processing, 2011

Super-Dirichlet Mixture Models Using Differential Line Spectral Frequencies for Text-Independent Speaker Identification.
Proceedings of the INTERSPEECH 2011, 2011

2010
PDF-optimized LSF vector quantization based on beta mixture models.
Proceedings of the INTERSPEECH 2010, 2010

Modelling speech line spectral frequencies with dirichlet mixture models.
Proceedings of the INTERSPEECH 2010, 2010

Expectation propagation for estimating the parameters of the beta distribution.
Proceedings of the IEEE International Conference on Acoustics, 2010

Human skin color detection in RGB space with Bayesian estimation of beta mixture models.
Proceedings of the 18th European Signal Processing Conference, 2010

2009
Human audio-visual consonant recognition analyzed with three bimodal integration models.
Proceedings of the INTERSPEECH 2009, 2009

Beta mixture models and the application to image classification.
Proceedings of the International Conference on Image Processing, 2009

2008
A probabilistic principal component analysis based hidden Markov model for audio-visual speech recognition.
Proceedings of the 42nd Asilomar Conference on Signals, Systems and Computers, 2008


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