activity
20192025
most citedCommunication-Efficient Edge AI: Algorithms and Systems

26 citations · 56 across the 6 of their papers we have counts for

collaborators

6 papers

cs.NE2025★ 2 cited

Evolutionary Neural Architecture Search with Dual Contrastive Learning

Xian-Rong Zhang, Yue-Jiao Gong, Wei-Neng Chen +1

Evolutionary Neural Architecture Search (ENAS) has gained attention for automatically designing neural network architectures. Recent studies use a neural predictor to guide the pro…

econ.TH2020

Efficient and fair trading mechanisms on the full preference domain

Jingsheng Yu, Jun Zhang

Yu and Zhang (2025) introduce a new method for defining trading mechanisms in market design and apply it to develop new mechanisms that achieve efficiency and fairness in various m…

cs.IT2020★ 26 cited

Communication-Efficient Edge AI: Algorithms and Systems

Yuanming Shi, Kai Yang, Tao Jiang +2

Artificial intelligence (AI) has achieved remarkable breakthroughs in a wide range of fields, ranging from speech processing, image classification to drug discovery. This is driven…

cs.LG2020★ 9 cited

Complete Dictionary Learning via -norm Maximization

Yifei Shen, Ye Xue, Jun Zhang +2

Dictionary learning is a classic representation learning method that has been widely applied in signal processing and data analytics. In this paper, we investigate a family of $\el…

cs.LG2020★ 9 cited

Faster Activity and Data Detection in Massive Random Access: A Multi-armed Bandit Approach

Jialin Dong, Jun Zhang, Yuanming Shi +1

This paper investigates the grant-free random access with massive IoT devices. By embedding the data symbols in the signature sequences, joint device activity detection and data de…

q-bio.QM2019★ 10 cited

A Study of Data Pre-processing Techniques for Imbalanced Biomedical Data Classification

Shigang Liu, Jun Zhang, Yang Xiang +2

Biomedical data are widely accepted in developing prediction models for identifying a specific tumor, drug discovery and classification of human cancers. However, previous studies…