Deep Learning-Based Power Control for Uplink Cell-Free Massive MIMO Systems

no code implementations • 18 Oct 2021 • Yongshun Zhang, Jiayi Zhang, Yu Jin, Stefano Buzzi, Bo Ai

In this paper, a general framework for deep learning-based power control methods for max-min, max-product and max-sum-rate optimization in uplink cell-free massive multiple-input multiple-output (CF mMIMO) systems is proposed.

Webly Supervised Fine-Grained Recognition: Benchmark Datasets and An Approach

1 code implementation • ICCV 2021 • Zeren Sun, Yazhou Yao, Xiu-Shen Wei, Yongshun Zhang, Fumin Shen, Jianxin Wu, Jian Zhang, Heng-Tao Shen

Learning from the web can ease the extreme dependence of deep learning on large-scale manually labeled datasets.

Benchmarking

Bag of Tricks for Long-Tailed Visual Recognition with Deep Convolutional Neural Networks

2 code implementations • Association for the Advancement of Artificial Intelligence 2021 • Yongshun Zhang, Xiu-Shen Wei, Boyan Zhou, Jianxin Wu

In recent years, visual recognition on challenging long-tailed distributions, where classes often exhibit extremely imbalanced frequencies, has made great progress mostly based on various complex paradigms (e. g., meta learning).

Data Augmentation Meta-Learning