313 citations · 714 across the 53 of their papers we have counts for
10 papers · 1 filter
A hidden anti-jamming method based on deep reinforcement learning
Yifan Wang, Xin Liu, Mei Wang +1
Most of the current anti-jamming algorithms for wireless communications only consider how to avoid jamming attacks, but ignore that the communication waveform or frequency action m…
Annotation-efficient deep learning for automatic medical image segmentation
Shanshan Wang, Cheng Li, Rongpin Wang +12
Automatic medical image segmentation plays a critical role in scientific research and medical care. Existing high-performance deep learning methods typically rely on large training…
Seeking Consensus on Subspaces in Federated Principal Component Analysis
Lei Wang, Xin Liu, Yin Zhang
In this paper, we develop an algorithm for federated principal component analysis (PCA) with emphases on both communication efficiency and data privacy. Generally speaking, federat…
AIM 2020 Challenge on Learned Image Signal Processing Pipeline
Andrey Ignatov, Radu Timofte, Zhilu Zhang +36
This paper reviews the second AIM learned ISP challenge and provides the description of the proposed solutions and results. The participating teams were solving a real-world RAW-to…
Adaptive Federated Dropout: Improving Communication Efficiency and Generalization for Federated Learning
Nader Bouacida, Jiahui Hou, Hui Zang +1
With more regulations tackling users' privacy-sensitive data protection in recent years, access to such data has become increasingly restricted and controversial. To exploit the we…
Soft-Median Choice: An Automatic Feature Smoothing Method for Sound Event Detection
Fengnian Zhao, Ruwei Li, Xin Liu +1
In Sound Event Detection (SED) systems, the lengths of median filters for post-processing have never been optimized during training due to several problems. No gradient is received…
Bandit Policies for Reliable Cellular Network Handovers in Extreme Mobility
Yuanjie Li, Esha Datta, Jiaxin Ding +2
The demand for seamless Internet access under extreme user mobility, such as on high-speed trains and vehicles, has become a norm rather than an exception. However, the 4G/5G mobil…
How machine learning can help the design and analysis of composite materials and structures?
Xin Liu, Su Tian, Fei Tao +2
Machine learning models are increasingly used in many engineering fields thanks to the widespread digital data, growing computing power, and advanced algorithms. Artificial neural…
POND: Pessimistic-Optimistic oNline Dispatching
Xin Liu, Bin Li, Pengyi Shi +1
This paper considers constrained online dispatching with unknown arrival, reward and constraint distributions. We propose a novel online dispatching algorithm, named POND, standing…
ENAS4D: Efficient Multi-stage CNN Architecture Search for Dynamic Inference
Zhihang Yuan, Xin Liu, Bingzhe Wu +1
Dynamic inference is a feasible way to reduce the computational cost of convolutional neural network(CNN), which can dynamically adjust the computation for each input sample. One o…