1.5k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Beijing University of Posts and TelecommunicationsCN83 papers
- University of Electronic Science and Technology of ChinaCN7 papers
- Guangzhou UniversityCN5 papers
- State Key Laboratory of CryptologyCN5 papers
- National University of SingaporeSG4 papers
- The University of Western AustraliaAU4 papers
- University of Science and Technology of ChinaCN4 papers
- Beijing Normal UniversityCN3 papers
- Centre for Quantum TechnologiesSG3 papers
- Ollscoil na Gaillimhe – University of GalwayIE3 papers
- Tsinghua UniversityCN3 papers
- Arizona State UniversityUS2 papers
13 papers · 1 filter
Quantum data compression by principal component analysis
Chao-Hua Yu, Fei Gao, Song Lin +1
Data compression can be achieved by reducing the dimensionality of high-dimensional but approximately low-rank datasets, which may in fact be described by the variation of a much s…
Graph comparison via nonlinear quantum search
M. Chiew, K. de Lacy, C. H. Yu +2
In this paper we present an efficiently scaling quantum algorithm which finds the size of the maximum common edge subgraph for a pair of arbitrary graphs and thus provides a meanin…
The Zero-error Entanglement Cost is Highly Non-Additive
Qiuling Yue, Eric Chitambar
The Schmidt number is an entanglement measure whose logarithm quantifies the zero-error entanglement cost of generating a given quantum state using local operations and classical c…
Self-testing using only marginal information
Xinhui Li, Yu Cai, Yunguang Han +2
The partial states of a multipartite quantum state may carry a lot of information: in some cases, they determine the global state uniquely. This result is known for tomographic inf…
Mobile big data analysis with machine learning
Jiyang Xie, Zeyu Song, Yupeng Li +1
This paper investigates to identify the requirement and the development of machine learning-based mobile big data analysis through discussing the insights of challenges in the mobi…
Communicating via ignorance: Increasing communication capacity via superposition of order
K. Goswami, Y. Cao, G. A. Paz-Silva +2
Classically, no information can be transmitted through a depolarising, that is a completely noisy, channel. We show that by combining a depolarising channel with another channel in…
Quantum algorithm for visual tracking
Chao-Hua Yu, Fei Gao, Chenghuan Liu +3
Visual tracking (VT) is the process of locating a moving object of interest in a video. It is a fundamental problem in computer vision, with various applications in human-computer…
Optimization Matrix Factorization Recommendation Algorithm Based on Rating Centrality
Zhipeng Wu, Hui Tian, Xuzhen Zhu +1
Matrix factorization (MF) is extensively used to mine the user preference from explicit ratings in recommender systems. However, the reliability of explicit ratings is not always c…
Construnctions of LOCC indistinguishable set of generalized Bell states
Jiang-Tao Yuan, Cai-Hong Wang, Ying-Hui Yang +1
In this paper, we mainly consider the local indistinguishability of the set of mutually orthogonal bipartite generalized Bell states (GBSs). We construct small sets of GBSs with ca…
Optimal community structure for social contagions
Zhen Su, Wei Wang, Lixiang Li +2
Community structure is an important factor in the behavior of real-world networks because it strongly affects the stability and thus the phase transition order of the spreading dyn…
Stochastic Control of Computation Offloading to a Helper with a Dynamically Loaded CPU
Yunzheng Tao, Changsheng You, Ping Zhang +1
Due to densification of wireless networks, there exist abundance of idling computation resources at edge devices. These resources can be scavenged by offloading heavy computation t…
A Survey on the Security of Blockchain Systems
Xiaoqi Li, Peng Jiang, Ting Chen +2
Since its inception, the blockchain technology has shown promising application prospects. From the initial cryptocurrency to the current smart contract, blockchain has been applied…
Handover Control in Wireless Systems via Asynchronous Multi-User Deep Reinforcement Learning
Zhi Wang, Lihua Li, Yue Xu +2
In this paper, we propose a two-layer framework to learn the optimal handover (HO) controllers in possibly large-scale wireless systems supporting mobile Internet-of-Things (IoT) u…