92 citations · 226 across the 8 of their papers we have counts for
8 papers
A Meta-Learning Based Gradient Descent Algorithm for MU-MIMO Beamforming
Jing-Yuan Xia, Zhixiong Yang, Tong Qiu +2
Multi-user multiple-input multiple-output (MU-MIMO) beamforming design is typically formulated as a non-convex weighted sum rate (WSR) maximization problem that is known to be NP-h…
ProCo: Prototype-aware Contrastive Learning for Long-tailed Medical Image Classification
Zhixiong Yang, Junwen Pan, Yanzhan Yang +4
Medical image classification has been widely adopted in medical image analysis. However, due to the difficulty of collecting and labeling data in the medical area, medical image da…
A Learning Aided Flexible Gradient Descent Approach to MISO Beamforming
Zhixiong Yang, Jing-Yuan Xia, Junshan Luo +2
This paper proposes a learning aided gradient descent (LAGD) algorithm to solve the weighted sum rate (WSR) maximization problem for multiple-input single-output (MISO) beamforming…
GIPA: General Information Propagation Algorithm for Graph Learning
Qinkai Zheng, Houyi Li, Peng Zhang +4
Graph neural networks (GNNs) have been popularly used in analyzing graph-structured data, showing promising results in various applications such as node classification, link predic…
Meta-learning based Alternating Minimization Algorithm for Non-convex Optimization
Jingyuan Xia, Shengxi Li, Jun-Jie Huang +2
In this paper, we propose a novel solution for non-convex problems of multiple variables, especially for those typically solved by an alternating minimization (AM) strategy that sp…
Adversary-resilient Distributed and Decentralized Statistical Inference and Machine Learning: An Overview of Recent Advances Under the Byzantine Threat Model
Zhixiong Yang, Arpita Gang, Waheed U. Bajwa
While the last few decades have witnessed a huge body of work devoted to inference and learning in distributed and decentralized setups, much of this work assumes a non-adversarial…
BRIDGE: Byzantine-resilient Decentralized Gradient Descent
Cheng Fang, Zhixiong Yang, Waheed U. Bajwa
Machine learning has begun to play a central role in many applications. A multitude of these applications typically also involve datasets that are distributed across multiple compu…
ByRDiE: Byzantine-resilient distributed coordinate descent for decentralized learning
Zhixiong Yang, Waheed U. Bajwa
Distributed machine learning algorithms enable learning of models from datasets that are distributed over a network without gathering the data at a centralized location. While effi…