Haijun Zhang
Orcid: 0000-0002-1648-0227Affiliations:
- Harbin Institute of Technology, Department of Computer Science, Shenzhen Graduate School, Shenzhen, China
- City University of Hong Kong, Department of Electronic Engineering (former)
- University of Windsor, Department of Electrical and Computer Engineering, Canada (former)
According to our database1,
Haijun Zhang
authored at least 137 papers
between 2009 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Learning to Synthesize Compatible Fashion Items Using Semantic Alignment and Collocation Classification: An Outfit Generation Framework.
IEEE Trans. Neural Networks Learn. Syst., April, 2024
Artif. Intell. Rev., March, 2024
Collocated Clothing Synthesis with GANs Aided by Textual Information: A Multi-Modal Framework.
ACM Trans. Multim. Comput. Commun. Appl., January, 2024
Learning to Disentangle the Colors, Textures, and Shapes of Fashion Items: A Unified Framework.
IEEE Trans. Multim., 2024
2023
Pattern Recognit., November, 2023
Causal Disentanglement: A Generalized Bearing Fault Diagnostic Framework in Continuous Degradation Mode.
IEEE Trans. Neural Networks Learn. Syst., September, 2023
Neural Networks, September, 2023
The Design of Fast and Lightweight Resemblance Detection for Efficient Post-Deduplication Delta Compression.
ACM Trans. Storage, August, 2023
IEEE Trans. Consumer Electron., August, 2023
Texture Brush for Fashion Inspiration Transfer: A Generative Adversarial Network With Heatmap-Guided Semantic Disentanglement.
IEEE Trans. Circuits Syst. Video Technol., May, 2023
Modeling the spread dynamics of multiple-variant coronavirus disease under public health interventions: A general framework.
Inf. Sci., May, 2023
Causal Consistency Network: A Collaborative Multimachine Generalization Method for Bearing Fault Diagnosis.
IEEE Trans. Ind. Informatics, April, 2023
Neural Networks, April, 2023
Robust and fast low-rank deep convolutional feature recovery: toward information retention and accelerated convergence.
Knowl. Inf. Syst., March, 2023
Toward Intelligent Fashion Design: A Texture and Shape Disentangled Generative Adversarial Network.
ACM Trans. Multim. Comput. Commun. Appl., 2023
COutfitGAN: Learning to Synthesize Compatible Outfits Supervised by Silhouette Masks and Fashion Styles.
IEEE Trans. Multim., 2023
IEEE Trans. Multim., 2023
Toward Intelligent Design: An AI-Based Fashion Designer Using Generative Adversarial Networks Aided by Sketch and Rendering Generators.
IEEE Trans. Multim., 2023
Inspiration Transfer for Intelligent Design: A Generative Adversarial Network With Fashion Attributes Disentanglement.
IEEE Trans. Consumer Electron., 2023
Knowl. Inf. Syst., 2023
𝕋<sup>2</sup>Net: an improved image-based text transfer framework using background inpainting and text conversion.
Ind. Artif. Intell., 2023
CoRR, 2023
DRGame: Diversified Recommendation for Multi-category Video Games with Balanced Implicit Preferences.
CoRR, 2023
Proceedings of the International Conference on Neural Computing for Advanced Applications, 2023
FCBoost-Net: A Generative Network for Synthesizing Multiple Collocated Outfits via Fashion Compatibility Boosting.
Proceedings of the 31st ACM International Conference on Multimedia, 2023
InspirNET: An Unsupervised Generative Adversarial Network with Controllable Fine-grained Texture Disentanglement for Fashion Generation.
Proceedings of the 31st ACM International Conference on Multimedia, 2023
FashionDiff: A Controllable Diffusion Model Using Pairwise Fashion Elements for Intelligent Design.
Proceedings of the 31st ACM International Conference on Multimedia, 2023
Proceedings of the 31st ACM International Conference on Multimedia, 2023
Toward Intelligent Interactive Design: A Generation Framework Based on Cross-domain Fashion Elements.
Proceedings of the 31st ACM International Conference on Multimedia, 2023
Proceedings of the 31st ACM International Conference on Multimedia, 2023
E-VarifocalNet: A Lightweight Model to Detect Insulators and Their Defects under Power Grid Surveillance.
Proceedings of the 21st IEEE International Conference on Industrial Informatics, 2023
Feature Aggregating Network with Inter-Frame Interaction for Efficient Video Super-Resolution.
Proceedings of the IEEE International Conference on Data Mining, 2023
2022
From Hyper-dimensional Structures to Linear Structures: Maintaining Deduplicated Data's Locality.
ACM Trans. Storage, 2022
Chain-Structure Echo State Network With Stochastic Optimization: Methodology and Application.
IEEE Trans. Neural Networks Learn. Syst., 2022
Semantic-Gap-Oriented Feature Selection and Classifier Construction in Multilabel Learning.
IEEE Trans. Cybern., 2022
IEEE Trans. Consumer Electron., 2022
Estimating unconfirmed COVID-19 infection cases and multiple waves of pandemic progression with consideration of testing capacity and non-pharmaceutical interventions: A dynamic spreading model.
Inf. Sci., 2022
PaaRPN: Probabilistic anchor assignment with region proposal network for visual tracking.
Inf. Sci., 2022
LGCNet: A local-to-global context-aware feature augmentation network for salient object detection.
Inf. Sci., 2022
CoRR, 2022
Building a High-performance Fine-grained Deduplication Framework for Backup Storage with High Deduplication Ratio.
Proceedings of the 2022 USENIX Annual Technical Conference, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Neural Computing for Advanced Applications, 2022
Extracting Key Information from Shopping Receipts by Using Bayesian Deep Learning via Multi-modal Features.
Proceedings of the Neural Computing for Advanced Applications, 2022
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022
HCD-Mask: a multi-task model for small object detection and instance segmentation in high-resolution UAV images.
Proceedings of the IEEE International Conference on Industrial Technology, 2022
Towards Feature Distribution Alignment and Diversity Enhancement for Data-Free Quantization.
Proceedings of the IEEE International Conference on Data Mining, 2022
Towards Artificial Neural Network Based Intrusion Detection with Enhanced Hyperparameter Tuning.
Proceedings of the IEEE Global Communications Conference, 2022
2021
DLRF-Net: A Progressive Deep Latent Low-Rank Fusion Network for Hierarchical Subspace Discovery.
ACM Trans. Multim. Comput. Commun. Appl., 2021
IEEE Trans. Neural Networks Learn. Syst., 2021
Twin-Incoherent Self-Expressive Locality-Adaptive Latent Dictionary Pair Learning for Classification.
IEEE Trans. Neural Networks Learn. Syst., 2021
Multilabel Classification With Label-Specific Features and Classifiers: A Coarse- and Fine-Tuned Framework.
IEEE Trans. Cybern., 2021
Adaptive Fault Estimation for Unmanned Surface Vessels With a Neural Network Observer Approach.
IEEE Trans. Circuits Syst. I Regul. Pap., 2021
TGAN: A simple model update strategy for visual tracking via template-guidance attention network.
Neural Networks, 2021
Clothing generation by multi-modal embedding: A compatibility matrix-regularized GAN model.
Image Vis. Comput., 2021
An investigation of testing capacity for evaluating and modeling the spread of coronavirus disease.
Inf. Sci., 2021
CNN-based encoder-decoder networks for salient object detection: A comprehensive review and recent advances.
Inf. Sci., 2021
IEEE Internet Things J., 2021
Neurocomputing, 2021
EWNet: An early warning classification framework for smart grid based on local-to-global perception.
Neurocomputing, 2021
Arbitrary Virtual Try-On Network: Characteristics Preservation and Trade-off between Body and Clothing.
CoRR, 2021
Proceedings of the 15th IEEE International Conference on Service-Oriented System Engineering, 2021
Learning to Collocate Fashion Items from Heterogeneous Network Using Structural and Textual Features.
Proceedings of the Neural Computing for Advanced Applications, 2021
A Transformer-Based Decoupled Attention Network for Text Recognition in Shopping Receipt Images.
Proceedings of the Neural Computing for Advanced Applications, 2021
Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021
Proceedings of the IEEE International Conference on Data Mining, 2021
Robust Low-rank Deep Feature Recovery in CNNs: Toward Low Information Loss and Fast Convergence.
Proceedings of the IEEE International Conference on Data Mining, 2021
Proceedings of the IEEE International Conference on Data Mining, 2021
Odess: Speeding up Resemblance Detection for Redundancy Elimination by Fast Content-Defined Sampling.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021
Proceedings of the 19th USENIX Conference on File and Storage Technologies, 2021
Proceedings of the Database Systems for Advanced Applications. DASFAA 2021 International Workshops, 2021
2020
Performance Optimization for Relative-Error-Bounded Lossy Compression on Scientific Data.
IEEE Trans. Parallel Distributed Syst., 2020
Collocating Clothes With Generative Adversarial Networks Cosupervised by Categories and Attributes: A Multidiscriminator Framework.
IEEE Trans. Neural Networks Learn. Syst., 2020
IEEE Trans. Ind. Informatics, 2020
IEEE Trans. Ind. Informatics, 2020
Bridging User Interest to Item Content for Recommender Systems: An Optimization Model.
IEEE Trans. Cybern., 2020
ClothingOut: a category-supervised GAN model for clothing segmentation and retrieval.
Neural Comput. Appl., 2020
Crowd counting by using multi-level density-based spatial information: A Multi-scale CNN framework.
Inf. Sci., 2020
CascadeGAN: A category-supervised cascading generative adversarial network for clothes translation from the human body to tiled images.
Neurocomputing, 2020
Neurocomputing, 2020
WarpClothingOut: A Stepwise Framework for Clothes Translation From the Human Body to Tiled Images.
IEEE Multim., 2020
COSINE: a software development model integrating collective intelligence, service and ecosystem.
Proceedings of the 2020 IEEE World Congress on Services, 2020
A Hybrid Neural Network RBERT-C Based on Pre-trained RoBERTa and CNN for User Intent Classification.
Proceedings of the Neural Computing for Advanced Applications, 2020
Optimizing Broad Learning System Hyper-parameters through Particle Swarm Optimization for Predicting COVID-19 in 184 Countries.
Proceedings of the 22nd IEEE International Conference on E-health Networking, 2020
2019
Temporal Information Services in Large-Scale Vehicular Networks Through Evolutionary Multi-Objective Optimization.
IEEE Trans. Intell. Transp. Syst., 2019
Sitcom-star-based clothing retrieval for video advertising: a deep learning framework.
Neural Comput. Appl., 2019
Neurocomputing, 2019
Graph model-based salient object detection using objectness and multiple saliency cues.
Neurocomputing, 2019
Int. J. Inf. Technol. Manag., 2019
Proceedings of the 17th IEEE International Conference on Industrial Informatics, 2019
Deep Learning-based Beverage Recognition for Unmanned Vending Machines: An Empirical Study.
Proceedings of the 17th IEEE International Conference on Industrial Informatics, 2019
Proceedings of the 17th IEEE International Conference on Industrial Informatics, 2019
Proceedings of the International Joint Conference on Neural Networks, 2019
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019
2018
IEEE Trans. Neural Networks Learn. Syst., 2018
IEEE Trans. Knowl. Data Eng., 2018
Neurocomputing, 2018
Proceedings of the 2018 IEEE International Conference on Web Services, 2018
Proceedings of the Database Systems for Advanced Applications, 2018
2017
IEEE Trans. Ind. Informatics, 2017
IEEE Trans. Ind. Informatics, 2017
Proceedings of the 15th IEEE International Conference on Industrial Informatics, 2017
Proceedings of the 15th IEEE International Conference on Industrial Informatics, 2017
Rolling fault diagnosis via robust semi-supervised model with capped l2, 1-norm regularization.
Proceedings of the IEEE International Conference on Industrial Technology, 2017
Integrating spectral and spatial features for hyperspectral image classification using low-rank representation.
Proceedings of the IEEE International Conference on Industrial Technology, 2017
2016
IEEE Trans. Neural Networks Learn. Syst., 2016
IEEE Trans. Ind. Informatics, 2016
Dynamic Clustering Forest: An ensemble framework to efficiently classify textual data stream with concept drift.
Inf. Sci., 2016
Proceedings of the 9th International Conference on Service Science, 2016
Proceedings of the 14th IEEE International Conference on Industrial Informatics, 2016
Proceedings of the 14th IEEE International Conference on Industrial Informatics, 2016
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
2015
IEEE Trans. Neural Networks Learn. Syst., 2015
Proceedings of the International Conference on Service Science, 2015
Proceedings of the 13th IEEE International Conference on Industrial Informatics, 2015
A tree-structured representation for book author and its recommendation using multilayer SOM.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015
2014
Extensions of Kmeans-Type Algorithms: A New Clustering Framework by Integrating Intracluster Compactness and Intercluster Separation.
IEEE Trans. Neural Networks Learn. Syst., 2014
ForesTexter: An efficient random forest algorithm for imbalanced text categorization.
Knowl. Based Syst., 2014
Knowl. Based Syst., 2014
Classifying web documents using term spectral transforms and Multi-Dimensional Latent Semantic representation.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014
2013
IEEE Trans. Cybern., 2013
2012
A two-dimensional Neighborhood Preserving Projection for appearance-based face recognition.
Pattern Recognit., 2012
Expert Syst. Appl., 2012
2011
IEEE Trans. Neural Networks, 2011
2010
A novel dual wing harmonium model aided by 2-D wavelet transform subbands for document data mining.
Expert Syst. Appl., 2010
2009
A new document representation using term frequency and vectorized graph connectionists with application to document retrieval.
Expert Syst. Appl., 2009