Jianghong Ma

Orcid: 0000-0002-0524-3584

According to our database1, Jianghong Ma authored at least 39 papers between 2017 and 2024.

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

Timeline

Legend:

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Bibliography

2024
Fashion intelligence in the Metaverse: promise and future prospects.
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

Multiclass and Multilabel Classifications by Consensus and Complementarity-Based Multiview Latent Space Projection.
IEEE Trans. Syst. Man Cybern. Syst., 2024

Dynamic Balanced Dual Prototypical Domain Generalization for Cross-Machine Fault Diagnosis.
IEEE Trans. Instrum. Meas., 2024

2023
Latent Topic-Aware Multioutput Learning.
IEEE Trans. Syst. Man Cybern. Syst., December, 2023

Modeling Self-Representation Label Correlations for Textual Aspects and Emojis Recommendation.
IEEE Trans. Neural Networks Learn. Syst., December, 2023

BANDT: A Border-Aware Network With Deformable Transformers for Visual Tracking.
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

IASA: An IoU-aware tracker with adaptive sample assignment.
Neural Networks, April, 2023

A survey of online video advertising.
WIREs Data. Mining. Knowl. Discov., 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

Inspiration Transfer for Intelligent Design: A Generative Adversarial Network With Fashion Attributes Disentanglement.
IEEE Trans. Consumer Electron., 2023

Regularizing autoencoders with wavelet transform for sequence anomaly detection.
Pattern Recognit., 2023

ExpGCN: Review-aware Graph Convolution Network for explainable recommendation.
Neural Networks, 2023

IDVT: Interest-aware Denoising and View-guided Tuning for Social Recommendation.
CoRR, 2023

DRGame: Diversified Recommendation for Multi-category Video Games with Balanced Implicit Preferences.
CoRR, 2023

Fine-tuning Partition-aware Item Similarities for Efficient and Scalable Recommendation.
Proceedings of the ACM Web Conference 2023, 2023

Collaborative Residual Metric Learning.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

MM-VTON: A Multi-stage Virtual Try-on Method Using Multiple Image Features.
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

Asymmetric feature interaction for interpreting model predictions.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
Topic-Based Instance and Feature Selection in Multilabel Classification.
IEEE Trans. Neural Networks Learn. Syst., 2022

Semantic-Gap-Oriented Feature Selection and Classifier Construction in Multilabel Learning.
IEEE Trans. Cybern., 2022

Multilabel Classification With Group-Based Mapping: A Framework With Local Feature Selection and Local Label Correlation.
IEEE Trans. Cybern., 2022

Crowd Counting by Using Top-k Relations: A Mixed Ground-Truth CNN Framework.
IEEE Trans. Consumer Electron., 2022

Joint clothes image detection and search via anchor free framework.
Neural Networks, 2022

KfreqGAN: Unsupervised detection of sequence anomaly with adversarial learning and frequency domain information.
Knowl. Based Syst., 2022

Efficient and Scalable Recommendation via Item-Item Graph Partitioning.
CoRR, 2022

A Collaborators Recommendation Method Based on Multi-feature Fusion.
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

2021
Multilabel Classification With Label-Specific Features and Classifiers: A Coarse- and Fine-Tuned Framework.
IEEE Trans. Cybern., 2021

2020
Latent Topic-Aware Multi-label Classification.
Proceedings of the Computer Vision - ECCV 2020, 2020

2019
Topic-Based Algorithm for Multilabel Learning With Missing Labels.
IEEE Trans. Neural Networks Learn. Syst., 2019

Label-specific feature selection and two-level label recovery for multi-label classification with missing labels.
Neural Networks, 2019

2018
Unsupervised Object-Based Change Detection via a Weibull Mixture Model-Based Binarization for High-Resolution Remote Sensing Images.
IEEE Geosci. Remote. Sens. Lett., 2018

Robust non-negative sparse graph for semi-supervised multi-label learning with missing labels.
Inf. Sci., 2018

2017
Multi-Label Low-dimensional Embedding with Missing Labels.
Knowl. Based Syst., 2017

Multi-label classification for images with missing labels.
Proceedings of the 15th IEEE International Conference on Industrial Informatics, 2017


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