80 citations
- Huawei Technologies (United States)US3 papers
- University of Naples Federico IIIT2 papers
- University of RochesterUS2 papers
- École de Technologie SupérieureCA1 paper
- Purdue University West LafayetteUS1 paper
- Shanghai Jiao Tong UniversityCN1 paper
- University of California, BerkeleyUS1 paper
- University of Wisconsin–MadisonUS1 paper
12 papers
Combinatorics and Geometry for the Many-ported, Distributed and Shared Memory Architecture
Hao Luan, Alan Gatherer
Manycore SoC architectures based on on-chip shared memory are preferred for flexible and programmable solutions in many application domains. However, the development of many ported…
Reconfigurable Intelligent Surface: Design the Channel -- a New Opportunity for Future Wireless Networks
Miguel Dajer, Zhengxiang Ma, Leonard Piazzi +5
In this paper, we survey state-of-the-art research outcomes in the burgeoning field of reconfigurable intelligent surface (RIS) in view of its potential for significant performance…
improving partition-block-based acoustic echo canceler in under-modeling scenarios
Wenzhi Fan, Jing Lu
Recently, a partitioned-block-based frequency-domain Kalman filter (PFKF) has been proposed for acoustic echo cancellation. Compared with the normal frequency-domain Kalman filter,…
K-Shot Contrastive Learning of Visual Features with Multiple Instance Augmentations
Haohang Xu, Hongkai Xiong, Guo-Jun Qi
In this paper, we propose the -Shot Contrastive Learning (KSCL) of visual features by applying multiple augmentations to investigate the sample variations within individual inst…
TransMatch: A Transfer-Learning Scheme for Semi-Supervised Few-Shot Learning
Zhongjie Yu, Lin Chen, Zhongwei Cheng +1
The successful application of deep learning to many visual recognition tasks relies heavily on the availability of a large amount of labeled data which is usually expensive to obta…
EnAET: A Self-Trained framework for Semi-Supervised and Supervised Learning with Ensemble Transformations
Xiao Wang, Daisuke Kihara, Jiebo Luo +1
Deep neural networks have been successfully applied to many real-world applications. However, such successes rely heavily on large amounts of labeled data that is expensive to obta…