25 citations · 61 across the 6 of their papers we have counts for
6 papers
A Survey on Class Imbalance in Federated Learning
Jing Zhang, Chuanwen Li, Jianzgong Qi +1
Federated learning, which allows multiple client devices in a network to jointly train a machine learning model without direct exposure of clients' data, is an emerging distributed…
Beyond Just Vision: A Review on Self-Supervised Representation Learning on Multimodal and Temporal Data
Shohreh Deldari, Hao Xue, Aaqib Saeed +3
Recently, Self-Supervised Representation Learning (SSRL) has attracted much attention in the field of computer vision, speech, natural language processing (NLP), and recently, with…
Memorization vs. Generalization: Quantifying Data Leakage in NLP Performance Evaluation
Aparna Elangovan, Jiayuan He, Karin Verspoor
Public datasets are often used to evaluate the efficacy and generalizability of state-of-the-art methods for many tasks in natural language processing (NLP). However, the presence…
FPGA-based Neural Network Accelerator for Millimeter-Wave Radio-over-Fiber Systems
Jeonghun Lee, Jiayuan He, Ke Wang
With the rapidly-developing high-speed wireless communications, the 60 GHz millimeter-wave frequency range and radio-over-fiber systems have been investigated as a promising soluti…
Experimental Demonstration of Millimeter-Wave Radio-over-Fiber System with Convolutional Neural Network (CNN) and Binary Convolutional Neural Network (BCNN)
Jeonghun Lee, Jiayuan He, Yitong Wang +2
The millimeter-wave (mm-wave) radio-over-fiber (RoF) systems have been widely studied as promising solutions to deliver high-speed wireless signals to end users, and neural network…
A Jointly Learned Context-Aware Place of Interest Embedding for Trip Recommendations
Jiayuan He, Jianzhong Qi, Kotagiri Ramamohanarao
Trip recommendation is an important location-based service that helps relieve users from the time and efforts for trip planning. It aims to recommend a sequence of places of intere…