Hao Cheng

According to our database, Hao Cheng authored at least 17 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

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

Chong Wang, Lanqing Guo, Zixuan Fu, Siyuan Yang, Hao Cheng, Alex C. Kot, Bihan Wen

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

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

Linhao Li, Yongzhang Tan, Siyuan Yang, Hao Cheng, Yongfeng Dong, Liang Yang

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Disentangled Feature Representation for Few-Shot Image Classification.

Hao Cheng, Yufei Wang, Haoliang Li, Alex C. Kot, Bihan Wen

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

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

Jiarui Zhang, Songnan Lin, Hao Cheng, Weixian Liu, Bihan Wen

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

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

Hao Cheng, Siyuan Yang, Chong Wang, Joey Tianyi Zhou, Alex C. Kot, Bihan Wen

Proceedings of the Computer Vision - ECCV 2024, 2024

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

Chong Wang, Lanqing Guo, Yufei Wang, Hao Cheng, Yi Yu, Bihan Wen

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

2023

Reconciliation of statistical and spatial sparsity for robust visual classification.

Hao Cheng, Kim-Hui Yap, Bihan Wen

Neurocomputing, April, 2023

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

Hao Cheng, Joey Tianyi Zhou, Wee Peng Tay, Bihan Wen

IEEE Trans. Multim., 2023

ShadowFormer: Global Context Helps Image Shadow Removal.

Lanqing Guo, Siyu Huang, Ding Liu, Hao Cheng, Bihan Wen

CoRR, 2023

Frequency Guidance Matters in Few-Shot Learning.

Hao Cheng, Siyuan Yang, Joey Tianyi Zhou, Lanqing Guo, Bihan Wen

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

ShadowFormer: Global Context Helps Shadow Removal.

Lanqing Guo, Siyu Huang, Ding Liu, Hao Cheng, Bihan Wen

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

2022

Variational Disentanglement for Domain Generalization.

Yufei Wang, Haoliang Li, Hao Cheng, Bihan Wen, Lap-Pui Chau, Alex C. Kot

Trans. Mach. Learn. Res., 2022

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

Tian Lan, Hao Cheng, Yi Wang, Bihan Wen

Remote. Sens., 2022

Attentive Graph Neural Networks for Few-Shot Learning.

Hao Cheng, Joey Tianyi Zhou, Wee Peng Tay, Bihan Wen

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.

Hao Cheng, Kim-Hui Yap, Bihan Wen

CoRR, 2021

Joint Dimensionality Reduction for Separable Embedding Estimation.

Yanjun Li, Bihan Wen, Hao Cheng, Yoram Bresler

CoRR, 2021

2020

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

Hao Cheng, Bihan Wen

Proceedings of the IEEE International Conference on Image Processing, 2020