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arXiv 2022年

作者： Li, Qiang Miao, Tian Zhang, Huimin Lin, Weiyan He, Wenhao Zhong, Yang Xiang, Lifen Deng, Lina Ye, Biying Shi, Qian Zhu, Yinyan Guo, Hangwen Wang, Wenbin Zheng, Changlin Yin, Lifeng Zhou, Xiaodong Xiang, Hongjun Shen, Jian State Key Laboratory of Surface Physics Institute for Nanoelectronic Devices and Quantum Computing Fudan University Shanghai200433 China Department of Physics Fudan University Shanghai200433 China School of Materials Science and Engineering Xi’an Jiaotong University Shanxi Xi’an710049 China Institute of Computational Physical Sciences Fudan University Shanghai200433 China Shanghai Qi Zhi Institute Shanghai200232 China Zhangjiang Fudan International Innovation Center Fudan University Shanghai201210 China Shanghai Research Center for Quantum Sciences Shanghai201315 China Collaborative Innovation Center of Advanced Microstructures Nanjing210093 China

Strongly correlated materials often exhibit an electronic phase separation (EPS) phenomena whose domain pattern is random in nature. The ability to control the spatial arrangement of the electronic phases at microscopic scales is highly desirable for tailoring their macroscopic properties and/or designing novel electronic devices. Here we report the formation of EPS nanoscale network in a mono-atomically stacked LaMnO3/CaMnO3/PrMnO3 superlattice grown on SrTiO3 (STO) (001) substrate, which is known to have an antiferromagnetic (AFM) insulating ground state. The EPS nano-network is a consequence of an internal strain relaxation triggered by the structural domain formation of the underlying STO substrate at low temperatures. The same nanoscale network pattern can be reproduced upon temperature cycling allowing us to employ different local imaging techniques to directly compare the magnetic and transport state of a single EPS domain. Our results confirm the one-to-one correspondence between ferromagnetic (AFM) to metallic (insulating) state in manganite. It also represents a significant step in a paradigm shift from passively characterizing EPS in strongly correlated systems to actively engaging in its manipulation. © 2022, CC BY-NC-SA.

关键词： Substrates

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Universal Dynamical Scaling of Quasi-Two-Dimensional Vortices in a Strongly Interacting Fermionic Superfluid

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Physical Review Letters 2021年第18期126卷 185302-185302页

作者： Xiang-Pei Liu Xing-Can Yao Youjin Deng Xiao-Qiong Wang Yu-Xuan Wang Chun-Jiong Huang Xiaopeng Li Yu-Ao Chen Jian-Wei Pan Hefei National Laboratory for Physical Sciences at the Microscale and Department of Modern Physics University of Science and Technology of China Hefei 230026 China Shanghai Branch CAS Center for Excellence in Quantum Information and Quantum Physics University of Science and Technology of China Shanghai 201315 China Shanghai Research Center for Quantum Sciences Shanghai 201315 China MinJiang Collaborative Center for Theoretical Physics College of Physics and Electronic Information Engineering Minjiang University Fuzhou 350108 China State Key Laboratory of Surface Physics Institute of Nanoelectronics and Quantum Computingand Department of Physics Fudan University Shanghai 200433 China Collaborative Innovation Center of Advanced Microstructures Nanjing 210093 China

Vortices play a leading role in many fascinating quantum phenomena. Here we generate a large number of vortices by thermally quenching a fermionic superfluid of Li6 atoms in an oblate optical trap and study their annihilation dynamics and spatial distribution. Over a wide interaction range from the attractive to the repulsive side across the Feshbach resonance, these quasi-two-dimensional vortices are observed to follow algebraic scaling laws both in time and space, having exponents consistent with the two-dimensional universality. We further simulate the classical XY model on the square lattice by a Glauber dynamics and find good agreement between the numerical and experimental behaviors. Our work provides a direct demonstration of the universal 2D vortex dynamics.

关键词： Fermi gases Vortices in superfluids Fermionic condensates Ultracold gases

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Non-binary entanglement-assisted quantum stabilizer codes

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Science China(Information Sciences) 2017年第4期60卷 210-223页

作者： Lan LUO Zhi MA Zhengchao WEI Riguang LENG State Key Laboratory of Mathematical Engineering and Advanced Computing

In this paper, we present the pm-ary entanglement-assisted(EA) stabilizer formalism, where p is a prime and m is a positive integer. Given an arbitrary non-abelian "stabilizer", the problem of code construction and encoding is settled perfectly in the case of m = 1. The optimal number of required maximally entangled pairs is discussed and an algorithm to determine the encoding and decoding circuits is proposed. We also generalize several bounds on p-ary EA stabilizer codes, such as the BCH bound, the G-V bound and the linear programming bound. However, the issue becomes tricky when it comes to m > 1, in which case, the former construction method applies only when the non-commuting "stabilizer" satisfies a sophisticated limitation.

关键词： entanglement non-commutativity non-binary stabilizer codes quantum error-correction quantum circuits bounds

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Network representation learning: From preprocessing, feature extraction to node embedding

arXiv

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arXiv 2021年

作者： Zhou, Jingya Liu, Ling Wei, Wenqi Fan, Jianxi Soochow University 1 Shizi street Jiangsu Suzhou215006 China Georgia Institute of Technology during May 2019 - June 2020 AtlantaGA United States State Key Laboratory of Mathematical Engineering and Advanced Computing Jiangsu Wuxi214125 China Georgia Institute of Technology 801 Atlantic Drive AtlantaGA30332 United States Soochow University 1 Shizi street Jiangsu Suzhou215006 China

Network representation learning (NRL) advances the conventional graph mining of social networks, knowledge graphs, and complex biomedical and physics information networks. Over dozens of network representation learning algorithms have been reported in the literature. Most of them focus on learning node embeddings for homogeneous networks, but they differ in the specific encoding schemes and specific types of node semantics captured and used for learning node embedding. This survey paper reviews the design principles and the different node embedding techniques for network representation learning over homogeneous networks. To facilitate the comparison of different node embedding algorithms, we introduce a unified reference framework to divide and generalize the node embedding learning process on a given network into preprocessing steps, node feature extraction steps and node embedding model training for a NRL task such as link prediction and node clustering. With this unifying reference framework, we highlight the representative methods, models, and techniques used at different stages of the node embedding model learning process. This survey not only helps researchers and practitioners to gain an in-depth understanding of different network representation learning techniques but also provides practical guidelines for designing and developing the next generation of network representation learning algorithms and systems. © 2021, CC BY.

关键词： Feature extraction

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Localization Algorithm of Indoor Wi-Fi Access Points Based on Signal Strength Relative Relationship and Region Division

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Computers, Materials & Continua 2018年第4期55卷 71-93页

作者： Wenyan Liu Xiangyang Luo Yimin Liu Jianqiang Liu Minghao Liu Yun Q.Shi State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou 450001China School of Electronics and Communication Engineering Zhengzhou University of AeronauticsZhengzhou 450001China New Jersey Institute of Technology NJUSA

Precise localization techniques for indoor Wi-Fi access points(APs)have important application in the security ***,due to the interference of environment factors such as multipath propagation and NLOS(Non-Line-of-Sight),the existing methods for localization indoor Wi-Fi access points based on RSS ranging tend to have lower accuracy as the RSS(Received Signal Strength)is difficult to accurately ***,the localization algorithm of indoor Wi-Fi access points based on the signal strength relative relationship and region division is proposed in this *** algorithm hierarchically divide the room where the target Wi-Fi AP is located,on the region division line,a modified signal collection device is used to measure RSS in two directions of each reference *** RSS values are compared and the region where the RSS value has the relative largest signal strength is located as next candidate *** location coordinate of the target Wi-Fi AP is obtained when the localization region of the target Wi-Fi AP is successively approximated until the candidate region is smaller than the accuracy *** are 360 experiments carried out in this paper with 8 types of Wi-Fi APs including fixed APs and portable *** experimental results show that the average localization error of the proposed localization algorithm is 0.30 meters,and the minimum localization error is 0.16 meters,which is significantly higher than the localization accuracy of the existing typical indoor Wi-Fi access point localization methods.

关键词： Wi-Fi access points indoor localization RSS signal strength relative relationship region division.

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Dual-responsive nanogels with high drug loading for enhanced tumor targeting and treatment

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Chinese Chemical Letters 2024年

作者： Haotian Shi Yuchao Luo Song Zhang Meijun Zhao Chaoyong Liu Qing Pei Helei Wang Qiong Dai Zhigang Xie Bin Xu Wenjing Tian State Key Laboratory of Supramolecular Structure and Materials College of Chemistry Jilin University Changchun 130012 China Beijing Advanced Innovation Center for Soft Matter Science and Engineering College of Life Science and Technology Beijing University of Chemical Technology Beijing 100029 China School of Mechanical Science and Aerospace Engineering Jilin University Changchun 130022 China Research Center for Life Science Computing Zhejiang Lab Hangzhou 311100 China State Key Laboratory of Polymer Physics and Chemistry Changchun Institute of Applied Chemistry Chinese Academy of Sciences Changchun 130022 China Gastric and Intestinal Department General Surgery Center First Hospital of Jilin University Changchun 130021 China

Nanomedicine holds considerable promise for advancing cancer therapy, however, effective delivery of drugs to solid tumors remains a challenge due to rapid systemic clearance and inefficient cellular uptake. Herein, we have developed a novel charge-reversible nanogel to deliver paclitaxel (PTX) dimers (DPP) with enhanced stability and targeting precision. The nanogels exhibit a dynamic charge-reversal mechanism responsive to the acidic tumor microenvironment (TME), optimizing the cellular uptake of prodrugs. In the high glutathione (GSH) conditions within cancer cells, the disulfide bonds in the DPP are cleaved, resulting in the intracellular release of active PTX and reduced drug toxicity to normal cells. In vivo pharmacokinetic studies revealed an extended plasma elimination half-life for the charge-reversible nanocarriers, and antitumor efficacy studies demonstrated superior tumor suppression with minimal systemic toxicity. This research underscores the potential of integrating charge-reversal and responsive release mechanisms into one nanocarrier system, balancing the long circulation and high tumor cell internalization capacity of the nanocarrier, and providing a promising strategy for targeted delivery of nanomedicine.

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GREYONE: data flow sensitive fuzzing 20

GREYONE: data flow sensitive fuzzing

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Proceedings of the 29th USENIX Conference on Security Symposium

作者： Shuitao Gan Chao Zhang Peng Chen Bodong Zhao Xiaojun Qin Dong Wu Zuoning Chen State Key Laboratory of Mathematical Engineering and Advanced Computing Institute for Network Science and Cyberspace Tsinghua University and Beijing National Research Center for Information Science and Technology ByteDance AI lab Institute for Network Science and Cyberspace Tsinghua University National Research Center of Parallel Computer Engineering and Technology

ISBN: (纸本)9781939133175

Data flow analysis (e.g., dynamic taint analysis) has proven to be useful for guiding fuzzers to explore hard-to-reach code and find vulnerabilities. However, traditional taint analysis is labor-intensive, inaccurate and slow, affecting the fuzzing efficiency. Apart from taint, few data flow features are *** this paper, we proposed a data flow sensitive fuzzing solution GREYONE. We first utilize the classic feature taint to guide fuzzing. A lightweight and sound fuzzing-driven taint inference (FTI) is adopted to infer taint of variables, by monitoring their value changes while mutating input bytes during fuzzing. With the taint, we propose a novel input prioritization model to determine which branch to explore, which bytes to mutate and how to mutate. Further, we use another data flow feature constraint conformance, i.e., distance of tainted variables to values expected in untouched branches, to tune the evolution direction of *** implemented a prototype of GREYONE and evaluated it on the LAVA data set and 19 real world programs. The results showed that it outperforms various state-of-the-art fuzzers in terms of both code coverage and vulnerability discovery. In the LAVA data set, GREYONE found all listed bugs and 336 more unlisted. In real world programs, GREYONE on average found 2.12X unique program paths and 3.09X unique bugs than state-of-the-art evolutionary fuzzers, including AFL, VUzzer, CollAFL, Angora and Honggfuzz, Moreover, GREYONE on average found 1.2X unique program paths and 1.52X unique bugs than a state-of-the-art symbolic exeuction assisted fuzzer QSYM. In total, it found 105 new security bugs, of which 41 are confirmed by CVE.

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A Hierarchically Collaborative Ant Colony Based Assembly Algorithm for Security Protocol

A Hierarchically Collaborative Ant Colony Based Assembly Alg...

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2019 International Conference on Wireless Communication, Network and Multimedia engineering(WCNME 2019)

作者： Zhuo Yi Muming Sun Lifeng Cao Xuehui Du State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou Institute of Information Science and Technology Troop 78123 PLA

Assembly of reconfigurable security protocol remains a major challenge for deploying higher security-level but more complicated security strategies in access points with limited resources and computing abilities. To handle this problem commendably, a hierarchically collaborative ant colony-based assembly algorithm was proposed. This algorithm decomposed the security protocol assembly problem into assembling directions controlling sub-task and cryptographic components selection sub-task. Directions control generated assembly subgoals and cryptographic components selection schedules the bestfitted components for given sub-goals. Both sub-tasks adopted a modified version of ant colony algorithm to fulfil its targets. These two ant colony algorithms generate a candidate optimal solution collaboratively for the assembly problem. And a hierarchical pheromone was defined to reinforce positive behaviors of ant colony. Additionally, a Lévy theory based stochastic gradient algorithm was adopted to verify and reoptimize the optimal solution. Experiment results suggest that the proposed algorithm outperforms baseline algorithms in convergence and performance.

关键词： security protocol assembly collaborative ant colony reconfigurable security protocol space-ground integrated network decision-making

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A Handover Decision Algorithm Based on Evolutionary Game Theory for Space-ground Integrated Network

A Handover Decision Algorithm Based on Evolutionary Game The...

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2019 International Conference on Wireless Communication, Network and Multimedia engineering(WCNME 2019)

作者： Zhuo Yi Delong Jiang Lifeng Cao Xuehui Du State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou Institute of Information Science and Technology Troop 78123 PLA

When handovers occur to user in space-ground integrated network, handover decisions should be made to select the optimal access point. However, existing decision indexes are not suitable to handover scenarios in space-ground integrated network and overlooks the overall performance of network. To address these issues, a handover decision algorithm based on evolutionary game theory was proposed. Firstly, handover indexes were selected from aspects of link quality, network quality, load balance and user demand, and weight matrix was established. Secondly, membership function was introduced to normalize the decision indexes, and user utility function and cost function of access points were designed according to the impact of indexes on handover performance and cost. Finally, evolutionary game theory is introduced to construct a handover decision model, whose stability strategy indicates the optimal access point. Experiment results show that the algorithm can meet the seamless handover requirements, and possesses high accuracy and validity.

关键词： handover decision evoluitonary game theory stability strategy space-ground integrated network

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Open set recognition of radar specific emitter based on adversarial reciprocal point learning

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Signal Processing 2026年 238卷

作者： Wenxu Zhang Lin An Wencheng Yang Zhongkai Zhao Feiran Liu College of Information and Communication Engineering Harbin Engineering University Harbin 150001 China Key Laboratory of Advanced Marine Communication and Information Technology Ministry of Industry and Information Technology Harbin Engineering University Harbin 150001 China AVIC United Technology Center for Electromagnetic Spectrum Collaborative Detection and Intelligent Cognition Harbin Engineering University Harbin 150001 China Yantai Research Institute Harbin Engineering University Yantai 264001 China School of Mathematics Physics and Computing University of Southern Queensland Toowoomba QLD 4350 Australia Department of Electrical Engineering Wright State University Dayton OH 45435 USA

Radar specific emitter identification (SEI) is a key technology in electromagnetic spectrum control. Although the emergence of deep learning has promoted the development of SEI, there are still many shortcomings in the current research results. Most of the traditional deep learning algorithms are applicable to closed-set identification and can only be used when the database is complete. In addition, individual differences in radar signals are susceptible to noise interference, but traditional denoising methods are usually independent of the feature extraction process, making it difficult to ensure that certain individual information is not lost. Therefore, in this paper, we propose a new radar emitter open set recognition method called adversarial reciprocal point learning with adaptive denoising (ARPLAD). Firstly, we design a new feature extraction network for one-dimensional signals, which combines deep residual shrinkage network with efficient attention mechanism to autonomously denoise signals and focus on important parts of signal features. Secondly, we train the network using adversarial reciprocal point learning combined with center loss to extract discriminative features with compact intraclass distances and separable interclass distances, which can efficiently discriminate unknown signals and reduce the risk of open set identification. The experimental results show that ARPLAD exhibits excellent performance in different conditions, providing an effective solution for SEI in open electromagnetic environments.

关键词： Deep learning Radar specific emitter identification Open set recognition Adversarial reciprocal point learning

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