Hao Zhang

Orcid: 0000-0002-2928-2692

Affiliations:

Weill Cornell Medicine, Department of Population Health Sciences, New York City, NY, USA
Cornell University, Ithaca, NY, USA
Duke University, Department of Electrical and Computer Engineering, Durham, NC, USA
Xidian University, National Lab of Radar Signal Processing, Xi'an, China (PhD 2019)

According to our database¹, Hao Zhang authored at least 46 papers between 2015 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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In proceedings

Article

PhD thesis

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Bibliography

2024

Quadratic Neuron-Empowered Heterogeneous Autoencoder for Unsupervised Anomaly Detection.

[BibT_eX]

[DOI]

IEEE Trans. Artif. Intell., September, 2024

Text Feature Adversarial Learning for Text Generation With Knowledge Transfer From GPT2.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., May, 2024

SnapCap: Efficient Snapshot Compressive Video Captioning.

[BibT_eX]

[DOI]

CoRR, 2024

HICEScore: A Hierarchical Metric for Image Captioning Evaluation.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

MeaCap: Memory-Augmented Zero-shot Image Captioning.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Multiscale Visual-Attribute Co-Attention for Zero-Shot Image Recognition.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., September, 2023

Learning Hierarchical Document Graphs From Multilevel Sentence Relations.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., August, 2023

Generative Text Convolutional Neural Network for Hierarchical Document Representation Learning.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., April, 2023

Contrastive Attraction and Contrastive Repulsion for Representation Learning.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2023

Recurrent Neural Networks for Snapshot Compressive Imaging.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2023

ConZIC: Controllable Zero-shot Image Captioning by Sampling-Based Polishing.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Application of Deep Learning on Single-cell RNA Sequencing Data Analysis: A Review.

[BibT_eX]

[DOI]

Genom. Proteom. Bioinform., October, 2022

Unsupervised Hyperspectral and Multispectral Images Fusion Based on Nonlinear Variational Probabilistic Generative Model.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2022

Multimodal Weibull Variational Autoencoder for Jointly Modeling Image-Text Data.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2022

Max-Margin Deep Diverse Latent Dirichlet Allocation With Continual Learning.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2022

Multi-scale visual attention for attribute disambiguation in zero-shot learning.

[BibT_eX]

[DOI]

Signal Process. Image Commun., 2022

Block Modulating Video Compression: An Ultra Low Complexity Image Compression Encoder for Resource Limited Platforms.

[BibT_eX]

[DOI]

CoRR, 2022

Heterogeneous Autoencoder Empowered by Quadratic Neurons.

[BibT_eX]

[DOI]

CoRR, 2022

A Privacy-Preserving Unsupervised Domain Adaptation Framework for Clinical Text Analysis.

[BibT_eX]

[DOI]

CoRR, 2022

Manifoldron: Direct Space Partition via Manifold Discovery.

[BibT_eX]

[DOI]

CoRR, 2022

A Variational Edge Partition Model for Supervised Graph Representation Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Tensor RNN With Bayesian Nonparametric Mixture for Radar HRRP Modeling and Target Recognition.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2021

Deep Autoencoding Topic Model With Scalable Hybrid Bayesian Inference.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2021

Contrastive Conditional Transport for Representation Learning.

[BibT_eX]

[DOI]

CoRR, 2021

Reinforcement Learning for Flexibility Design Problems.

[BibT_eX]

[DOI]

CoRR, 2021

A Prototype-Oriented Framework for Unsupervised Domain Adaptation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

MetaSCI: Scalable and Adaptive Reconstruction for Video Compressive Sensing.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Memory-Efficient Network for Large-Scale Video Compressive Sensing.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

EnsLM: Ensemble Language Model for Data Diversity by Semantic Clustering.

[BibT_eX]

[DOI]

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

FusionNet: An Unsupervised Convolutional Variational Network for Hyperspectral and Multispectral Image Fusion.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2020

Students Need More Attention: BERT-based AttentionModel for Small Data with Application to AutomaticPatient Message Triage.

[BibT_eX]

[DOI]

CoRR, 2020

Deep Relational Topic Modeling via Graph Poisson Gamma Belief Network.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Bidirectional Convolutional Poisson Gamma Dynamical Systems.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Students Need More Attention: BERT-based Attention Model for Small Data with Application to Automatic Patient Message Triage.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning for Healthcare Conference, 2020

Variational Hetero-Encoder Randomized GANs for Joint Image-Text Modeling.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Learning Representations, 2020

Friendly Topic Assistant for Transformer Based Abstractive Summarization.

[BibT_eX]

[DOI]

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

BIRNAT: Bidirectional Recurrent Neural Networks with Adversarial Training for Video Snapshot Compressive Imaging.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

Learning Dynamic Hierarchical Topic Graph with Graph Convolutional Network for Document Classification.

[BibT_eX]

[DOI]

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Deep Max-Margin Discriminant Projection.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2019

Variational probabilistic generative framework for single image super-resolution.

[BibT_eX]

[DOI]

Signal Process., 2019

Variational Hetero-Encoder Randomized Generative Adversarial Networks for Joint Image-Text Modeling.

[BibT_eX]

[DOI]

CoRR, 2019

2018

Deep Poisson gamma dynamical systems.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

WHAI: Weibull Hybrid Autoencoding Inference for Deep Topic Modeling.

[BibT_eX]

[DOI]

Proceedings of the 6th International Conference on Learning Representations, 2018

2017

Structured Kernel Dictionary Learning With Correlation Constraint for Object Recognition.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2017

Robust Variational Auto-Encoder for Radar HRRP Target Recognition.

[BibT_eX]

[DOI]

Proceedings of the Intelligence Science and Big Data Engineering, 2017

2015

Max-Margin Discriminant Projection via Data Augmentation.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2015

Hao Zhang

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