74 citations · 189 across the 26 of their papers we have counts for
7 papers · 1 filter
A long-period pre-ELM system discovered from LAMOST medium-resolution survey
Zhi-Xiang Zhang, Ling-Lin Zheng, Wei-Min Gu +16
We present LAMOST~J041920.07+072545.4 (hereafter J0419), a close binary consisting of a bloated extremely low mass pre-white dwarf (pre-ELM WD) and a compact object with an orbital…
Variational quantum circuit learning of entanglement purification in multiple degrees of freedom
Hao Zhang, Xusheng Xu, Chen Zhang +3
Entanglement purification is a crucial technique for promising the effective entanglement channel in noisy large-scale quantum networks, yet complicated in designing protocols in m…
Connection-oriented and Connectionless Quantum Internet Considering Quantum Repeaters
Hao Zhang, Yuan Li, Chen Zhang +1
With the rapid development of quantum information and technology in recent years, the construction of quantum internet for interconnecting all kinds of quantum devices, such as qua…
Coupling Perovskite Quantum Dot Pairs in Solution using Nanoplasmonic Assembly
Hao Zhang, Parinaz Moazzezi, Juanjuan Ren +8
Perovskite quantum dots (PQDs) provide a robust solution-based approach to efficient solar cells, bright light-emitting devices, and quantum sources of light. Quantifying heterogen…
Data-and-Knowledge Dual-Driven Automatic Modulation Recognition for Wireless Communication Networks
Rui Ding, Hao Zhang, Fuhui Zhou +2
Automatic modulation classification is of crucial importance in wireless communication networks. Deep learning based automatic modulation classification schemes have attracted exte…
Active Domain Adaptation with Multi-level Contrastive Units for Semantic Segmentation
Hao Zhang, Ruimao Zhang, Zhanglin Peng +2
To further reduce the cost of semi-supervised domain adaptation (SSDA) labeling, a more effective way is to use active learning (AL) to annotate a selected subset with specific pro…
Adaptive Split-Fusion Transformer
Zixuan Su, Hao Zhang, Jingjing Chen +3
Neural networks for visual content understanding have recently evolved from convolutional ones (CNNs) to transformers. The prior (CNN) relies on small-windowed kernels to capture t…