Hao Cheng

24 papers A* 5B 1C 1Journal 15Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Skeleton-to-Image Encoding: Enabling Skeleton Representation Learning via Vision-Pretrained Models.
CoRR
Siyuan Yang, Jun Liu, Hao Cheng, Chong Wang, Shijian Lu, Hedvig Kjellstrom, Weisi Lin, Alex C. Kot
2025 A* conf
Adaptive Decision Boundary for Few-Shot Class-Incremental Learning.
AAAI
Linhao Li, Yongzhang Tan, Siyuan Yang, Hao Cheng, Yongfeng Dong, Liang Yang
2025 J jnl
Adaptive Decision Boundary for Few-Shot Class-Incremental Learning.
CoRR
Linhao Li, Yongzhang Tan, Siyuan Yang, Hao Cheng, Yongfeng Dong, Liang Yang
2025 A* conf
Reconciling Stochastic and Deterministic Strategies for Zero-shot Image Restoration using Diffusion Model in Dual.
CVPR
Chong Wang, Lanqing Guo, Zixuan Fu, Siyuan Yang, Hao Cheng, Alex C. Kot, Bihan Wen
2025 J jnl
Reconciling Stochastic and Deterministic Strategies for Zero-shot Image Restoration using Diffusion Model in Dual.
CoRR
Chong Wang, Lanqing Guo, Zixuan Fu, Siyuan Yang, Hao Cheng, Alex C. Kot, Bihan Wen
2025 J jnl
Weakly Supervised Bilinear Convolutional Neural Network for Fine-Grained Vehicle Classification.
IEEE Trans. Intell. Transp. Syst.
Linhao Li, Han Zang, Xiaojuan Fan, Hao Cheng, Yongfeng Dong
2024 J jnl
Disentangled Feature Representation for Few-Shot Image Classification.
IEEE Trans. Neural Networks Learn. Syst.
Hao Cheng, Yufei Wang, Haoliang Li, Alex C. Kot, Bihan Wen
2024 C conf
Learning-Based Human Detection via Radar for Dynamic and Cluttered Indoor Environments.
ISCAS
Jiarui Zhang, Songnan Lin, Hao Cheng, Weixian Liu, Bihan Wen
2024 A* conf
Progressive Divide-and-Conquer via Subsampling Decomposition for Accelerated MRI.
CVPR
Chong Wang, Lanqing Guo, Yufei Wang, Hao Cheng, Yi Yu, Bihan Wen
2024 J jnl
Progressive Divide-and-Conquer via Subsampling Decomposition for Accelerated MRI.
CoRR
Chong Wang, Lanqing Guo, Yufei Wang, Hao Cheng, Yi Yu, Bihan Wen
2024 — conf
STSP: Spatial-Temporal Subspace Projection for Video Class-Incremental Learning.
ECCV (28)
Hao Cheng, Siyuan Yang, Chong Wang, Joey Tianyi Zhou, Alex C. Kot, Bihan Wen
2023 A* conf
Frequency Guidance Matters in Few-Shot Learning.
ICCV
Hao Cheng, Siyuan Yang, Joey Tianyi Zhou, Lanqing Guo, Bihan Wen
2023 J jnl
Graph Neural Networks With Triple Attention for Few-Shot Learning.
IEEE Trans. Multim.
Hao Cheng, Joey Tianyi Zhou, Wee Peng Tay, Bihan Wen
2023 J jnl
Reconciliation of statistical and spatial sparsity for robust visual classification.
Neurocomputing
Hao Cheng, Kim-Hui Yap, Bihan Wen
2023 J jnl
ShadowFormer: Global Context Helps Image Shadow Removal.
CoRR
Lanqing Guo, Siyu Huang, Ding Liu, Hao Cheng, Bihan Wen
2023 A* conf
ShadowFormer: Global Context Helps Shadow Removal.
AAAI
Lanqing Guo, Siyu Huang, Ding Liu, Hao Cheng, Bihan Wen
2022 — conf
Attentive Graph Neural Networks for Few-Shot Learning.
MIPR
Hao Cheng, Joey Tianyi Zhou, Wee Peng Tay, Bihan Wen
2022 J jnl
Site Selection via Learning Graph Convolutional Neural Networks: A Case Study of Singapore.
Remote. Sens.
Tian Lan, Hao Cheng, Yi Wang, Bihan Wen
2022 J jnl
Variational Disentanglement for Domain Generalization.
Trans. Mach. Learn. Res.
Yufei Wang, Haoliang Li, Hao Cheng, Bihan Wen, Lap-Pui Chau, Alex C. Kot
2021 J jnl
Disentangled Feature Representation for Few-shot Image Classification.
CoRR
Hao Cheng, Yufei Wang, Haoliang Li, Alex C. Kot, Bihan Wen
2021 J jnl
Joint Dimensionality Reduction for Separable Embedding Estimation.
CoRR
Yanjun Li, Bihan Wen, Hao Cheng, Yoram Bresler
2021 J jnl
Reconciliation of Statistical and Spatial Sparsity For Robust Image and Image-Set Classification.
CoRR
Hao Cheng, Kim-Hui Yap, Bihan Wen
2020 J jnl
Attentive Graph Neural Networks for Few-Shot Learning.
CoRR
Hao Cheng, Joey Tianyi Zhou, Wee Peng Tay, Bihan Wen
2020 B conf
Joint Statistical and Spatial Sparse Representation for Robust Image and Image-Set Classification.
ICIP
Hao Cheng, Bihan Wen