Hao Cheng

Orcid: 0000-0003-4823-0908

Affiliations:

Hebei University of Technology, Tianjin, China
Nanyang Technological University, School of Electrical and Electronic Engineering, Singapore (PhD)
Tianjin University, School of Computer Science and Technology (2016 - 2019)

According to our database¹, Hao Cheng authored at least 19 papers between 2020 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Bibliography

2026

Skeleton-to-Image Encoding: Enabling Skeleton Representation Learning via Vision-Pretrained Models.

[BibT_eX]

[DOI]

CoRR, March, 2026

2025

Weakly Supervised Bilinear Convolutional Neural Network for Fine-Grained Vehicle Classification.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., December, 2025

Reconciling Stochastic and Deterministic Strategies for Zero-shot Image Restoration using Diffusion Model in Dual.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Adaptive Decision Boundary for Few-Shot Class-Incremental Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Disentangled Feature Representation for Few-Shot Image Classification.

[BibT_eX]

[DOI]

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

Learning-Based Human Detection via Radar for Dynamic and Cluttered Indoor Environments.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Circuits and Systems, 2024

STSP: Spatial-Temporal Subspace Projection for Video Class-Incremental Learning.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

Progressive Divide-and-Conquer via Subsampling Decomposition for Accelerated MRI.

[BibT_eX]

[DOI]

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

2023

Reconciliation of statistical and spatial sparsity for robust visual classification.

[BibT_eX]

[DOI]

Hao Cheng

Kim-Hui Yap

Bihan Wen

Neurocomputing, April, 2023

Graph Neural Networks With Triple Attention for Few-Shot Learning.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2023

ShadowFormer: Global Context Helps Image Shadow Removal.

[BibT_eX]

[DOI]

CoRR, 2023

Frequency Guidance Matters in Few-Shot Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

ShadowFormer: Global Context Helps Shadow Removal.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Variational Disentanglement for Domain Generalization.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2022

Site Selection via Learning Graph Convolutional Neural Networks: A Case Study of Singapore.

[BibT_eX]

[DOI]

Remote. Sens., 2022

Attentive Graph Neural Networks for Few-Shot Learning.

[BibT_eX]

[DOI]

Proceedings of the 5th IEEE International Conference on Multimedia Information Processing and Retrieval, 2022

2021

Reconciliation of Statistical and Spatial Sparsity For Robust Image and Image-Set Classification.

[BibT_eX]

[DOI]

Hao Cheng

Kim-Hui Yap

Bihan Wen

CoRR, 2021

Joint Dimensionality Reduction for Separable Embedding Estimation.

[BibT_eX]

[DOI]

CoRR, 2021

2020

Joint Statistical and Spatial Sparse Representation for Robust Image and Image-Set Classification.

[BibT_eX]

[DOI]

Hao Cheng

Bihan Wen

Proceedings of the IEEE International Conference on Image Processing, 2020

Hao Cheng

Timeline

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Bibliography

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