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- Ministry of Industry and Information TechnologyCN16 papers
- Tsinghua UniversityCN16 papers
- Chinese Academy of SciencesCN15 papers
- Xi'an Jiaotong UniversityCN15 papers
- Xidian UniversityCN12 papers
- Australian National UniversityAU11 papers
- Moscow Institute of Physics and TechnologyRU11 papers
- University of Chinese Academy of SciencesCN10 papers
- Nankai UniversityCN9 papers
- Centre National de la Recherche ScientifiqueFR7 papers
- Fudan UniversityCN7 papers
- Instituto de Ciencia de Materiales de MadridES7 papers
30 papers · 1 filter
ClST: A Convolutional Transformer Framework for Automatic Modulation Recognition by Knowledge Distillation
Dongbin Hou, Lixin Li, Wensheng Lin +2
With the rapid development of deep learning (DL) in recent years, automatic modulation recognition (AMR) with DL has achieved high accuracy. However, insufficient training signal d…
A Novel Normalized-Cut Solver with Nearest Neighbor Hierarchical Initialization
Feiping Nie, Jitao Lu, Danyang Wu +2
Normalized-Cut (N-Cut) is a famous model of spectral clustering. The traditional N-Cut solvers are two-stage: 1) calculating the continuous spectral embedding of normalized Laplaci…
Decoupling and Interacting Multi-Task Learning Network for Joint Speech and Accent Recognition
Qijie Shao, Pengcheng Guo, Jinghao Yan +2
Accents, as variations from standard pronunciation, pose significant challenges for speech recognition systems. Although joint automatic speech recognition (ASR) and accent recogni…
B^2SFL: A Bi-level Blockchained Architecture for Secure Federated Learning-based Traffic Prediction
Hao Guo, Collin Meese, Wanxin Li +2
Federated Learning (FL) is a privacy-preserving machine learning (ML) technology that enables collaborative training and learning of a global ML model based on aggregating distribu…
Berry Curvature and Bulk-Boundary Correspondence from Transport Measurement for Photonic Chern Bands
Chao Chen, Run-Ze Liu, Jizhou Wu +12
Berry curvature is a fundamental element to characterize topological quantum physics, while a full measurement of Berry curvature in momentum space was not reported for topological…
A Geometrical Approach to Evaluate the Adversarial Robustness of Deep Neural Networks
Yang Wang, Bo Dong, Ke Xu +4
Deep Neural Networks (DNNs) are widely used for computer vision tasks. However, it has been shown that deep models are vulnerable to adversarial attacks, i.e., their performances d…