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ORCIDHao Cheng 0016
Person information
- affiliation: Hebei University of Technology, Tianjin, China
- affiliation (PhD): Nanyang Technological University, School of Electrical and Electronic Engineering, Singapore
- affiliation (2016 - 2019): Tianjin University, School of Computer Science and Technology
Other persons with the same name
- Hao Cheng — disambiguation page
- Hao Cheng 0001 — University of Central Florida, Department of Electrical Engineering and Computer Science, Orlando, FL, USA
- Hao Cheng 0002 — Microsoft Research (and 2 more)
- Hao Cheng 0003
![[0000-0003-4134-8479]](https://dblp.org/img/orcid-mark.12x12.png "0000-0003-4134-8479")
— Shanghai University, School of Communication and Information Engineering, China (and 1 more) - Hao Cheng 0004 — Shanghai Jiao Tong University, Department of Automation, China
- Hao Cheng 0005 — University of California, Santa Cruz, CA, USA (and 1 more)
- Hao Cheng 0006 — Nanjing University of Posts and Telecommunications, School of Internet of Things, Nanjing, China (and 1 more)
- Hao Cheng 0007 — Dalian University of Technology, Faculty of Infrastructure Engineering, China
- Hao Cheng 0008 — Leibniz University Hannover, Institute of Cartography and Geoinformatics, Germany
- Hao Cheng 0009 — Shandong University, School of Cyber Science and Technology, Qingdao, China (and 1 more)
- Hao Cheng 0010 — Tianjin University, School of Computer Science and Technology, China
- Hao Cheng 0011 — Jilin University, Key Laboratory of Geo-Exploration Instruments, China
- Hao Cheng 0012 — Tencent Youtu Lab, Shanghai, China
- Hao Cheng 0013 — Qingdao Technological University, School of Management, China
- Hao Cheng 0014 — Nanjing University, Department of Computer Science and Technology, National Key Laboratory for Novel Software Technology, China
- Hao Cheng 0015 — Hong Kong University of Science and Technology (Guangzhou), Humanoid Computing Laboratory, Guangzhou, China (and 1 more)
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2020 – today
- 2025
[c8]Linhao Li, Yongzhang Tan, Siyuan Yang, Hao Cheng, Yongfeng Dong, Liang Yang:
Adaptive Decision Boundary for Few-Shot Class-Incremental Learning. AAAI 2025: 18359-18367- [i7]Chong Wang, Lanqing Guo, Zixuan Fu, Siyuan Yang, Hao Cheng, Alex C. Kot, Bihan Wen:
Reconciling Stochastic and Deterministic Strategies for Zero-shot Image Restoration using Diffusion Model in Dual. CoRR abs/2503.01288 (2025) - 2024
- [j5]Hao Cheng, Yufei Wang, Haoliang Li, Alex C. Kot, Bihan Wen:
Disentangled Feature Representation for Few-Shot Image Classification. IEEE Trans. Neural Networks Learn. Syst. 35(8): 10422-10435 (2024) - [c7]Chong Wang, Lanqing Guo, Yufei Wang, Hao Cheng, Yi Yu, Bihan Wen:
Progressive Divide-and-Conquer via Subsampling Decomposition for Accelerated MRI. CVPR 2024: 25128-25137 - [c6]Hao Cheng, Siyuan Yang, Chong Wang, Joey Tianyi Zhou, Alex C. Kot, Bihan Wen:
STSP: Spatial-Temporal Subspace Projection for Video Class-Incremental Learning. ECCV (28) 2024: 374-391 - [c5]Jiarui Zhang, Songnan Lin, Hao Cheng, Weixian Liu, Bihan Wen:
Learning-Based Human Detection via Radar for Dynamic and Cluttered Indoor Environments. ISCAS 2024: 1-5 - [i6]Chong Wang, Lanqing Guo, Yufei Wang, Hao Cheng, Yi Yu, Bihan Wen:
Progressive Divide-and-Conquer via Subsampling Decomposition for Accelerated MRI. CoRR abs/2403.10064 (2024) - 2023
- [j4]Hao Cheng, Kim-Hui Yap, Bihan Wen:
Reconciliation of statistical and spatial sparsity for robust visual classification. Neurocomputing 529: 140-151 (2023) - [j3]Hao Cheng, Joey Tianyi Zhou, Wee Peng Tay, Bihan Wen:
Graph Neural Networks With Triple Attention for Few-Shot Learning. IEEE Trans. Multim. 25: 8225-8239 (2023) - [c4]Lanqing Guo, Siyu Huang, Ding Liu, Hao Cheng, Bihan Wen:
ShadowFormer: Global Context Helps Shadow Removal. AAAI 2023: 710-718 - [c3]Hao Cheng, Siyuan Yang, Joey Tianyi Zhou, Lanqing Guo, Bihan Wen:
Frequency Guidance Matters in Few-Shot Learning. ICCV 2023: 11780-11790 - [i5]Lanqing Guo, Siyu Huang, Ding Liu, Hao Cheng, Bihan Wen:
ShadowFormer: Global Context Helps Image Shadow Removal. CoRR abs/2302.01650 (2023) - 2022
- [j2]Tian Lan, Hao Cheng, Yi Wang, Bihan Wen:
Site Selection via Learning Graph Convolutional Neural Networks: A Case Study of Singapore. Remote. Sens. 14(15): 3579 (2022) - [j1]Yufei Wang, Haoliang Li, Hao Cheng, Bihan Wen, Lap-Pui Chau, Alex C. Kot:
Variational Disentanglement for Domain Generalization. Trans. Mach. Learn. Res. 2022 (2022) - [c2]Hao Cheng, Joey Tianyi Zhou, Wee Peng Tay, Bihan Wen:
Attentive Graph Neural Networks for Few-Shot Learning. MIPR 2022: 152-157 - 2021
- [i4]Yanjun Li, Bihan Wen, Hao Cheng, Yoram Bresler:
Joint Dimensionality Reduction for Separable Embedding Estimation. CoRR abs/2101.05500 (2021) - [i3]Hao Cheng, Kim-Hui Yap, Bihan Wen:
Reconciliation of Statistical and Spatial Sparsity For Robust Image and Image-Set Classification. CoRR abs/2106.00256 (2021) - [i2]Hao Cheng, Yufei Wang, Haoliang Li, Alex C. Kot, Bihan Wen:
Disentangled Feature Representation for Few-shot Image Classification. CoRR abs/2109.12548 (2021) - 2020
- [c1]Hao Cheng, Bihan Wen:
Joint Statistical and Spatial Sparse Representation for Robust Image and Image-Set Classification. ICIP 2020: 2411-2415 - [i1]Hao Cheng, Joey Tianyi Zhou, Wee Peng Tay, Bihan Wen:
Attentive Graph Neural Networks for Few-Shot Learning. CoRR abs/2007.06878 (2020)
Coauthor Index
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