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MDPL-net: Multi-layer Dictionary Learning network with Added Skip Dense Connections

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MDPL-net: Multi-layer Dictionary Learning Network with Added...

IEEE International Conference on data Mining (ICDM)

作者： Zhao Zhang Yulin Sun Zheng Zhang Yang Wang Lin Wu Meng Wang School of Computer Science and Technology Soochow University Suzhou China Ministry of Education Key Laboratory of Knowledge Engineering with Big Data School of Computer Science and Information Engineering Hefei University of Technology Hefei China Bio-Computing Research Center Harbin Institute of Technology (Shenzhen) Shenzhen China

ISBN: (数字)9781728183169

ISBN: (纸本)9781728183176

Dictionary learning (DL) is powerful for representation learning, while it fails to capture the deep hierarchical information hidden in data. In this paper, we propose a new generalized end-to-end mulita-layer representation learning architecture referred to as Multi-layer Dictionary Pair Learning network (MDPL-net) for the deep sparse and hierarchical representation of images. To enable MDPL-net to conduct accurate classification, MDPL-net clearly integrates the skip connection end-to-end network and multi-layer deep sparse dictionary learning into a unified architecture. The representation learning module has several hidden DL blocks, where each hidden DL block has a dictionary pair learning (DPL) layer, a batch-norm layer and an activation function layer, and the DL blocks are connected in a feed-forward manner. To further improve the information flow and maintain the privileged features between different DL blocks, a novel skip dense connectivity pattern is deployed between hidden DL blocks, which can obtain more stable and discriminative features. The DPL layer jointly formulates the discriminative synthesis dictionary and analysis dictionary by minimizing reconstruction error within each batch over the feature maps from front layers. Extensive results on benchmark databases demonstrate the effectiveness of MDPL-net for discriminative representation and robust image classification.

关键词： Dictionaries databases Conferences Machine learning data mining Image reconstruction Image classification

Controlling risk of web question answering

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arXiv 2019年

作者： Su, Lixin Guo, Jiafeng Fan, Yixing Lan, Yanyan Cheng, Xueqi CAS Key Lab of Network Data Science and Technology Institute of Computing Technology Chinese Academy of Sciences Beijing China University of Chinese Academy of Sciences Beijing China

Web question answering (QA) has become an indispensable component in modern search systems, which can significantly improve users’ search experience by providing a direct answer to users’ information need. This could be achieved by applying machine reading comprehension (MRC) models over the retrieved passages to extract answers with respect to the search query. With the development of deep learning techniques, state-of-the-art MRC performances have been achieved by recent deep methods. However, existing studies on MRC seldom address the predictive uncertainty issue, i.e., how likely the prediction of an MRC model is wrong, leading to uncontrollable risks in real-world Web QA applications. In this work, we first conduct an in-depth investigation over the risk of Web QA. We then introduce a novel risk control framework, which consists of a qualify model for uncertainty estimation using the probe idea, and a decision model for selectively output. For evaluation, we introduce risk-related metrics, rather than the traditional EM and F1 in MRC, for the evaluation of risk-aware Web QA. The empirical results over both the real-world Web QA dataset and the academic MRC benchmark collection demonstrate the effectiveness of our approach. Copyright © 2019, The Authors. All rights reserved.

关键词： Deep learning

Cyber security monitoring and data analysis at IHEP

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Cyber security monitoring and data analysis at IHEP

2019 International Symposium on Grids and Clouds, ISGC 2019

作者： Yan, Tian Hu, Hao An, Dehai Qi, Fazhi Jiang, Chen Computing Center Institute of High Energy Physics Chinese Academy of Sciences Beijing100049 China Key Laboratory of Network Assessment Technology CAS Institute of Information Engineering Chinese Academy of Sciences Beijing100093 China Inc. Beijing100085 China

Recently, cyber security threats becomes a noticeable challenge for academic institutes. In this paper, we present the security risk control model and the cyber security detection and monitoring system designed and deployed at institute of High Energy Physics (IHEP) in China. Security data collection and analysis plays the central role in this framework. In addition to the open-source solution like Zeek, MISP and ELK stack, we also deployed a commercial Security Operation Center (SOC) as a supplement and cross-check solution. Copyright © 2019 the author(s).

关键词： Cybersecurity

Authentication of metropolitan quantum key distribution network with post-quantum cryptography

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arXiv 2021年

作者： Yang, Yong-Hua Li, Pei-Yuan Ma, Shi-Zhao Qian, Xiao-Cong Zhang, Kai-Yi Wang, Liu-Jun Zhang, Wan-Li Zhou, Fei Tang, Shi-Biao Wang, Jia-Yong Yu, Yu Zhang, Qiang Pan, Jian-Wei CAS Quantum Network Co. Ltd Shanghai201315 China QuantumCTek Co. Ltd Hefei230088 China Jinan Institute of Quantum Technology Jinan250101 China Department of Computer Science and Engineering Shanghai Jiao Tong University Shanghai200240 China Shanghai Qizhi Institute Shanghai200232 China School of Physics and Astronomy and Yunnan Key Laboratory for Quantum Information Yunnan University Kunming650500 China Hefei National Laboratory for Physical Sciences Microscale and Department of Modern Physics University of Science and Technology of China Hefei230026 China

Quantum key distribution (QKD) provides information theoretically secures key exchange requiring authentication of the classic data processing channel via pre-sharing of symmetric private keys. In previous studies, the lattice-based post-quantum digital signature algorithm Aigis-Sig, combined with public-key infrastructure (PKI) was used to achieve highefficiency quantum security authentication of QKD, and its advantages in simplifying the MAN network structure and new user entry were demonstrated. This experiment further integrates the PQC algorithm into the commercial QKD system, the Jinan field metropolitan QKD network comprised of 14 user nodes and 5 optical switching nodes. The feasibility, effectiveness and stability of the post-quantum cryptography (PQC) algorithm and advantages of replacing trusted relays with optical switching brought by PQC authentication large-scale metropolitan area QKD network were verified. QKD with PQC authentication has potential in quantum-secure communications, specifically in metropolitan QKD networks. Copyright © 2021, The Authors. All rights reserved.

关键词： Quantum cryptography

SMAD7 and SERPINE1 as novel dynamic network biomarkers detect and regulate the tipping point of TGF-beta induced EMT

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science Bulletin 2020年第10期65卷 842-853,M0004页

作者： Zhonglin Jiang Lina Lu Yuwei Liu Si Zhang Shuxian Li Guanyu Wang Peng Wang Luonan Chen Key Laboratory of Systems Biology Center for Excellence in Molecular Cell ScienceInstitute of Biochemistry and Cell BiologyShanghai Institutes for Biological SciencesChinese Academy of SciencesUniversity of Chinese Academy of SciencesShanghai 200031China Bio-med Big Data Center Key Laboratory of Computational BiologyCAS-MPG Partner Institute of Computational BiologyShanghai Institutes for Biological SciencesChinese Academy of SciencesShanghai 200031China Institute of Biomedical Sciences and School of Life Sciences East China Normal UniversityShanghai 200241China Center for Excellence in Animal Evolution and Genetics Chinese Academy of SciencesKunming 650223China School of Life Science and Technology ShanghaiTech UniversityShanghai 201210China Guangdong Provincial Key Laboratory of Cell Microenviroment and Disease Research Guangdong Provincial Key Laboratory of Computational Science and Material DesignDepartment of BiologySouthern University of Science and TechnologyShenzhen 518055China Laboratory of Systems Biology Shanghai Advanced Research InstituteChinese Academy of SciencesShanghai 200031China

Epithelial–mesenchymal transition(EMT) is a complex nonlinear biological process that plays essential roles in fundamental biological processes such as embryogenesis, wounding healing, tissue regeneration,and cancer metastasis. A hallmark of EMT is the switch-like behavior during state transition, which is characteristic of phase transitions. Hence, detecting the tipping point just before mesenchymal state transition is critical for understanding molecular mechanism of EMT. Through dynamic network biomarkers(DNB) model, a DNB group with 37 genes was identified which can provide the early-warning signals of EMT. Particularly, we found that two DNB genes, i.e., SMAD7 and SERPINE1 promoted EMT by switching their regulatory network which was further validated by biological experiments. Survival analyses revealed that SMAD7 and SERPINE1 as DNB genes further acted as prognostic biomarkers for lung adenocarcinoma.

关键词： Dynamic network biomarker Tipping point Epithelial–mesenchymal transition Bistability Quantitative real-time PCR

Full-Duplex ISCC for Low-Altitude networks: Resource Allocation and Coordinated Beamforming

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arXiv 2025年

作者： Chen, Yiyang Liu, Wenchao Zhang, Xuhui Ren, Jinke Xing, Huijun Wang, Shuqiang Shen, Yanyan Southern University of Science and Technology Guangdong518055 China Guangdong518055 China Shenzhen Future Network of Intelligence Institute the School of Science and Engineering Guangdong Provincial Key Laboratory of Future Networks of Intelligence The Chinese University of Hong Kong Guangdong Shenzhen518172 China Department of Electrical and Electronic Engineering Imperial College London LondonSW7 2AZ United Kingdom SIAT CAS Guangdong518055 China Shenzhen University of Advanced Technology Guangdong518055 China

This paper investigates an integrated sensing, communication, and computing system deployed over low-altitude networks for enabling applications within the low-altitude economy. In the considered system, a full-duplex enabled unmanned aerial vehicle (UAV) is dispatched in the airspace, functioning as a UAV-enabled low-altitude platform (ULAP). The ULAP is capable of achieving simultaneous information transmission, target sensing, and mobile edge computing services. To reduce the overall energy consumption of the system while meeting the sensing beampattern threshold and user computation requirements, we formulate an energy consumption minimization problem by jointly optimizing the task allocation, computation resource allocation, transmit beamforming, and receive beamforming. Since the problem is non-convex and involves highly coupled variables, we propose an efficient algorithm based on alternation optimization, which decomposes the original problem into tractable convex subproblems. Moreover, we analyze the convergence and complexity of the proposed algorithm. Numerical results demonstrate that the proposed scheme saves up to 54.12% energy consumption performance compared to the benchmark schemes. Copyright © 2025, The Authors. All rights reserved.

关键词： Signaling

Role of left-hand cut contributions on pole extractions from lattice data: case study for Tcc(3875)+

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arXiv 2023年

作者： Du, Meng-Lin Filin, Arseniy Baru, Vadim Dong, Xiang-Kun Epelbaum, Evgeny Guo, Feng-Kun Hanhart, Christoph Nefediev, Alexey Nieves, Juan Wang, Qian School of Physics University of Electronic Science and Technology of China Chengdu611731 China Institut für Theoretische Physik II Ruhr-Universität Bochum BochumD-44780 Germany CAS Key Laboratory of Theoretical Physics Institute of Theoretical Physics Chinese Academy of Sciences Beijing100190 China School of Physical Sciences University of Chinese Academy of Sciences Beijing100049 China Peng Huanwu Collaborative Center for Research and Education Beihang University Beijing100191 China Institute for Advanced Simulation Institut für Kernphysik Jülich Center for Hadron Physics Forschungszentrum Jülich JülichD-52425 Germany Jozef Stefan Institute Jamova 39 Ljubljana1000 Slovenia CeFEMA Center of Physics and Engineering of Advanced Materials Instituto Superior Técnico Avenida Rovisco Pais 1 Lisboa1049-001 Portugal Institutos de Investigación de Paterna Apartado 22085 Valencia46071 Spain Guangdong Provincial Key Laboratory of Nuclear Science Institute of Quantum Matter South China Normal University Guangzhou510006 China Institute of High Energy Physics Chinese Academy of Sciences Beijing100049 China Guangdong-Hong Kong Joint Laboratory of Quantum Matter Southern Nuclear Science Computing Center South China Normal University Guangzhou510006 China

We discuss recent lattice data for the Tcc(3875)+ state to stress, for the first time, a potentially strong impact of left-hand cuts from the one-pion exchange on the pole extraction for near-threshold exotic states. In particular, if the left-hand cut is located close to the two-particle threshold, which happens naturally in the DD∗ system for the pion mass exceeding its physical value, the effective-range expansion is valid only in a very limited energy range up to the cut and as such is of little use to reliably extract the poles. Then, an accurate extraction of the pole locations requires the one-pion exchange to be implemented explicitly into the scattering amplitudes. Our findings are general and potentially relevant for a wide class of hadronic near-threshold states. © 2023, CC BY.

关键词： Poles

HAS-QA: Hierarchical answer spans model for open-domain question answering

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arXiv 2019年

作者： Pang, Liang Lan, Yanyan Guo, Jiafeng Xu, Jun Su, Lixin Cheng, Xueqi CAS Key Laboratory of Network Data Science and Technology Institute of Computing Technology Chinese Academy of Sciences Beijing China University of Chinese Academy of Sciences Beijing China Department of Statistics University of California Berkeley

This paper is concerned with open-domain question answering (i.e., OpenQA). Recently, some works have viewed this problem as a reading comprehension (RC) task, and directly applied successful RC models to it. However, the performances of such models are not so good as that in the RC task. In our opinion, the perspective of RC ignores three characteristics in OpenQA task: 1) many paragraphs without the answer span are included in the data collection;2) multiple answer spans may exist within one given paragraph;3) the end position of an answer span is dependent with the start position. In this paper, we first propose a new probabilistic formulation of OpenQA, based on a three-level hierarchical structure, i.e., the question level, the paragraph level and the answer span level. Then a Hierarchical Answer Spans Model (HAS-QA) is designed to capture each probability. HAS-QA has the ability to tackle the above three problems, and experiments on public OpenQA datasets show that it significantly outperforms traditional RC baselines and recent OpenQA baselines. Copyright © 2019, The Authors. All rights reserved.

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Design of Target Behavior Intelligent Analysis System Based on Distributed computing

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Design of Target Behavior Intelligent Analysis System Based ...

Signal, Information and data Processing (ICSIDP), IEEE International Conference on

作者： Xinlong Pan Xueqi Cheng Libo Yao Zhenqiu Zhu Biao Ding Tiantian Tang Minbo Li Chuanhui Liu CAS Key Laboratory of Network Data Science & Technology Inistitute of Computing Technology Beijing China Institute of Information Fusion Naval Aviation University Yantai China School of Software Fudan University Shanghai China

ISBN: (数字)9781728123455

ISBN: (纸本)9781728123462

Through the fusion processing of target data obtained by radar, electronic reconnaissance, space reconnaissance, technical reconnaissance and civil cooperative system in early warning and surveillance system, multidimensional target data including explicit state information such as target attributes, type, position, speed and course could be obtained. The latent potential information, such as regular behavior, intention and threat degree, need to be mastered by human intelligence and experience analysis. It is urgent to use big data mining technology to realize intelligent analysis of target behavior. Based on the analysis of big data related technologies, this paper designs an intelligent target behavior analysis system based on distributed computing, which provides theoretical and technical support for intelligent upgrading of intelligence processing systems and command decision systems.

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