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- University of Science and Technology of ChinaCN178 papers
- Chinese Academy of SciencesCN47 papers
- Anhui UniversityCN46 papers
- National University of SingaporeSG36 papers
- Hefei National Center for Physical Sciences at NanoscaleCN29 papers
- Tsinghua UniversityCN24 papers
- Peking UniversityCN20 papers
- Zhejiang UniversityCN17 papers
- Eindhoven University of TechnologyNL16 papers
- Harbin Institute of TechnologyCN14 papers
- Soochow UniversityCN14 papers
- University of Chinese Academy of SciencesCN12 papers
44 papers · 1 filter
30% Reach Increase via Low-complexity Hybrid HD/SD FEC and Nonlinearity-tolerant 4D Modulation
Gabriele Liga, Bin Chen, Sjoerd van der Heide +4
Current optical coherent transponders technology is driving data rates towards 1 Tb/s/λand beyond. This trend requires both high-performance coded modulation schemes and efficient…
Learning Hybrid Representation by Robust Dictionary Learning in Factorized Compressed Space
Jiahuan Ren, Zhao Zhang, Sheng Li +4
In this paper, we investigate the robust dictionary learning (DL) to discover the hybrid salient low-rank and sparse representation in a factorized compressed space. A Joint Robust…
Complexity-Adjustable SC Decoding of Polar Codes for Energy Consumption Reduction
Haotian Zheng, Bin Chen, Luis F. Abanto-Leon +2
This paper proposes an enhanced list-aided successive cancellation stack (ELSCS) decoding algorithm with adjustable decoding complexity. In addition, a logarithmic likelihood ratio…
End-to-End Learning of Geometrical Shaping Maximizing Generalized Mutual Information
Kadir Gümüs, Alex Alvarado, Bin Chen +2
GMI-based end-to-end learning is shown to be highly nonconvex. We apply gradient descent initialized with Gray-labeled APSK constellations directly to the constellation coordinates…
DerainCycleGAN: Rain Attentive CycleGAN for Single Image Deraining and Rainmaking
Yanyan Wei, Zhao Zhang, Yang Wang +4
Single image deraining (SID) is an important and challenging topic in emerging vision applications, and most of emerged deraining methods are supervised relying on the ground truth…
Discriminative Local Sparse Representation by Robust Adaptive Dictionary Pair Learning
Yulin Sun, Zhao Zhang, Weiming Jiang +4
In this paper, we propose a structured Robust Adaptive Dic-tionary Pair Learning (RA-DPL) framework for the discrim-inative sparse representation learning. To achieve powerful repr…