79 citations · 156 across the 15 of their papers we have counts for
4 papers · 1 filter
Scalable Multi-Agent Reinforcement Learning for Residential Load Scheduling under Data Governance
Zhaoming Qin, Nanqing Dong, Di Liu +2
As a data-driven approach, multi-agent reinforcement learning (MARL) has made remarkable advances in solving cooperative residential load scheduling problems. However, centralized…
Federated Contrastive Learning for Decentralized Unlabeled Medical Images
Nanqing Dong, Irina Voiculescu
A label-efficient paradigm in computer vision is based on self-supervised contrastive pre-training on unlabeled data followed by fine-tuning with a small number of labels. Making p…
Residual Contrastive Learning for Image Reconstruction: Learning Transferable Representations from Noisy Images
Nanqing Dong, Matteo Maggioni, Yongxin Yang +3
This paper is concerned with contrastive learning (CL) for low-level image restoration and enhancement tasks. We propose a new label-efficient learning paradigm based on residuals,…
Negational Symmetry of Quantum Neural Networks for Binary Pattern Classification
Nanqing Dong, Michael Kampffmeyer, Irina Voiculescu +1
Entanglement is a physical phenomenon, which has fueled recent successes of quantum algorithms. Although quantum neural networks (QNNs) have shown promising results in solving simp…