180 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Chinese Academy of SciencesCN26 papers
- Centre for Quantum TechnologiesSG7 papers
- Nankai UniversityCN6 papers
- National University of SingaporeSG6 papers
- University of Science and Technology of ChinaCN5 papers
- Southern University of Science and TechnologyCN4 papers
- Tsinghua UniversityCN4 papers
- University of Electronic Science and Technology of ChinaCN4 papers
- Western UniversityCA4 papers
- CAS Key Laboratory of Quantum Information, USTCCN3 papers
- Hunan Normal UniversityCN2 papers
- Institute of Theoretical PhysicsCN2 papers
41 papers
CNA: An AI-Oriented Comprehensive Normalized Assessment for Healthy Status and Application to Optimize RRT Strategies by Reinforcement Learning
Jiang Liu, Chan Zhou, Yujie Li +8
Millions worldwide require Renal Replacement Therapy (RRT) as a treatment essential for survival. However, optimizing RRT strategies via AI is challenging due to heterogeneous pati…
SelaVPR++: Towards Seamless Adaptation of Foundation Models for Efficient Place Recognition
Feng Lu, Tong Jin, Xiangyuan Lan +4
Recent studies show that the visual place recognition (VPR) method using pre-trained visual foundation models can achieve promising performance. In our previous work, we propose a…
Deep Homography Estimation for Visual Place Recognition
Feng Lu, Shuting Dong, Lijun Zhang +4
Visual place recognition (VPR) is a fundamental task for many applications such as robot localization and augmented reality. Recently, the hierarchical VPR methods have received co…
STA-VPR: Spatio-temporal Alignment for Visual Place Recognition
Feng Lu, Baifan Chen, Xiang-Dong Zhou +1
Recently, the methods based on Convolutional Neural Networks (CNNs) have gained popularity in the field of visual place recognition (VPR). In particular, the features from the midd…
The numerical factorization of polynomials
Wenyuan Wu, Zhonggang Zeng
Polynomial factorization in conventional sense is an ill-posed problem due to its discontinuity with respect to coefficient perturbations, making it a challenge for numerical compu…
Entanglement Structure Detection via Machine Learning
Changbo Chen, Changliang Ren, Hongqing Lin +1
Detecting the entanglement structure, such as intactness and depth, of an n-qubit state is important for understanding the imperfectness of the state preparation in experiments. Ho…
Fermi velocity renormalization in graphene probed by terahertz time-domain spectroscopy
Patrick R. Whelan, Qian Shen, Binbin Zhou +13
We demonstrate terahertz time-domain spectroscopy (THz-TDS) to be an accurate, rapid and scalable method to probe the interaction-induced Fermi velocity renormalization νF^* of cha…
Observation of nonlocality sharing via not-so-weak measurements
Tianfeng Feng, Changliang Ren, Yuling Tian +4
Nonlocality plays a fundamental role in quantum information science. Recently, it has been theoretically predicted and experimentally demonstrated that the nonlocality of an entang…
Evidence of orbit-selective electronic kagome lattice with planar flat-band in correlated paramagnetic YCr6Ge6
T. Y. Yang, Q. Wan, Y. H. Wang +13
Electronic properties of kagome lattice have drawn great attention recently. In associate with flat-band induced by destructive interference and Dirac cone-type dispersion, abundan…
Quantum radar
Lorenzo Maccone, Changliang Ren
We propose a quantum metrology protocol for the localization of a non-cooperative point-like target in three-dimensional space, by illuminating it with electromagnetic waves. It em…
Steerability detection of arbitrary 2-qubit state via machine learning
Changliang Ren, Changbo Chen
Quantum steering is an important nonclassical resource for quantum information processing. However, even lots of steering criteria exist, it is still very difficult to efficiently…
Design and implementation of smart cooking based on amazon echo
Lin Xiaoguang, Yang Yong, Zhang Ju
Smart cooking based on Amazon Echo uses the internet of things and cloud computing to assist in cooking food. People may speak to Amazon Echo during the cooking in order to get the…
Experimental Simultaneous Learning of Multiple Non-Classical Correlations
Mu Yang, Chang-liang Ren, Yue-chi Ma +7
Non-classical correlations can be regarded as resources for quantum information processing. However, the classification problem of non-classical correlations for quantum states rem…
Micro-Attention for Micro-Expression recognition
Chongyang Wang, Min Peng, Tao Bi +1
Micro-expression, for its high objectivity in emotion detection, has emerged to be a promising modality in affective computing. Recently, deep learning methods have been successful…
Mapping Criteria of Nonlocality-Steerability in Qudit-Qubit Systems and Steerability-Entanglement in Qubit-Qudit Systems
Changbo Chen, Changliang Ren, Xiang-Jun Ye +1
Entanglement, quantum steering and nonlocality are distinct quantum correlations which are the resources behind various of quantum information and quantum computation applications.…
Deriving Einstein-Podolsky-Rosen steering inequalities from the few-body Abner Shimony inequalities
Jie Zhou, Hui-Xian Meng, Shu-Han Jiang +4
For the Abner Shimony (AS) inequalities, the simplest unified forms of directions attaining the maximum quantum violation are investigated. Based on these directions, a family of E…
Chained Einstein-Podolsky-Rosen steering inequalities with improved visibility
Hui-Xian Meng, Jie Zhou, Changliang Ren +2
It is known that the linear n-setting steering inequalities introduced in Ref. [Nature Phys. 6, 845 (2010)] are very efficient inequalities in detecting steerability of the Werner…
Optimal Solution of Linear Ordinary Differential Equations by Conjugate Gradient Method
Wenqiang Yang, Wenyuan Wu, Robert M. Corless
Solving initial value problems and boundary value problems of Linear Ordinary Differential Equations (ODEs) plays an important role in many applications. There are various numerica…
Text classification based on ensemble extreme learning machine
Ming Li, Peilun Xiao, Ju Zhang
In this paper, we propose a novel approach based on cost-sensitive ensemble weighted extreme learning machine; we call this approach AE1-WELM. We apply this approach to text classi…
Computing an LLL-reduced basis of the orthogonal lattice
Jingwei Chen, Damien Stehlé, Gilles Villard
As a typical application, the Lenstra-Lenstra-Lovasz lattice basis reduction algorithm (LLL) is used to compute a reduced basis of the orthogonal lattice for a given integer matrix…
Pre- and post-selected measurements with coupling-strength-dependent modulation
Zhaoxue Li, Jiangdong Qiu, Xiaodong Qiu +7
Pre- and post-selected (PPS) measurement, especially the weak PPS measurement, is a useful protocol for amplifying small physical parameters. However, it is difficult to retain bot…
Silicon Oxide Electron-Emitting Nanodiodes
Gongtao Wu, Zhiwei Li, Zhiqiang Tang +5
Electrically driven on-chip electron sources that do not need to be heated have been long pursued because the current thermionic electron sources show the problems of high power co…
Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Network
Yao Feng, Fan Wu, Xiaohu Shao +2
We propose a straightforward method that simultaneously reconstructs the 3D facial structure and provides dense alignment. To achieve this, we design a 2D representation called UV…
Monotonic quantum-to-classical transition enabled by positively-correlated biphotons
Rui-Bo Jin, Guo-Qun Chen, Hui Jing +4
Multiparticle interference is a fundamental phenomenon in the study of quantum mechanics.It was discovered in a recent experiment [Ra, Y.-S. et al, Proc. Natl Acad. Sci. USA \textb…