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Corrigendum to“Achievements,challenges,and recommendations for waterbird conservation in China's coastal wetlands”[Avian Res.14(2023)100123]

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Avian Research 2023年第3期14卷 315-316页

作者： Zhijun Ma Chi-Yeung Choi Xiaojing Gan Jing Li Yang Liu David S.Melville Tong Mu Theunis Piersma Zhengwang Zhang Ministry of Education Key Laboratory for Biodiversity Science and Ecological Engineering National Observation and Research Station for Wetland Ecosystems of the Yangtze EstuaryFudan UniversityShanghai200438China Division of Natural and Applied Sciences Environmental Research CentreDuke Kunshan UniversityKunshan215316JiangsuChina The Paulson Institute Beijing Representative Office Beijing100006China Spoon-Billed Sandpiper Shanghai Environmental Protection Technology Co.Ltd.Shanghai201100China State Key Laboratory of Biocontrol School of EcologySun Yat-Sen UniversityGuangzhou510275China Global Flyway Network Wakefield7096New Zealand Princeton School of Public and International Affairs Princeton UniversityPrincetonNJ08544USA NIOZ Royal Netherlands Institute for Sea Research Department of Coastal SystemsP.O.Box 591790 ABDen BurgTexelthe Netherlands BirdEyes Centre for Global Ecological Changeand Conservation Ecology GroupGroningen Institute for Evolutionary Life Sciences(GELIFES)University of Groningen9700 CCGroningenthe Netherlands CEAAF Center for East Asian-Australasian Flyway Studies Beijing Forestry UniversityQinghua East Road 35Haidian DistrictBeijing100083China Ministry of Education Key Laboratory for Biodiversity Science and Ecological Engineering School of Life SciencesBeijing Normal UniversityBeijing100875China

The authors regret that Fig.1 and its caption should be replaced as below.

关键词： coastal conservation challenges

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Dual Prototypes Contrastive Learning for Semi-Supervised Medical Image Segmentation

SSRN

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SSRN 2024年

作者： Yue, Tianai Xu, Rongtao Wu, Jingqian Yang, Wenjie Du, Shide Wang, Changwei Johns Hopkins University Baltimore21218 United States State Key Laboratory of Multimodal Artificial Intelligence Systems Institute of Automation Chinese Academy of Sciences Beijing100190 China The University of Hong Kong Hong Kong999077 Hong Kong College of Computer and Big Data Fuzhou University Fuzhou350108 China Key Laboratory of Computing Power Network and Information Security Ministry of Education Shandong Computer Science Center Qilu University of Technology Shandong Academy of Sciences Jinan250014 China Shandong Provincial Key Laboratory of Computing Power Internet and Service Computing Shandong Fundamental Research Center for Computer Science Jinan250014 China

Semi-supervised techniques for medical image segmentation have demonstrated potential, effectively training models using scarce labeled data alongside a wealth of unlabeled data. Therefore, semi-supervised medical image segmentation is one of the key issues in engineering applications of medical artificial intelligence. Consistency constraints based on prototype alignment provide an intuitively sensible way to discover valuable insights from unlabeled data that can motivate segmentation performance. In this work, we propose a dual prototypes contrastive network (DPC-Net) to motivate semi-supervised medical segmentation accuracy by imposing image-level global prototype constraints and pixel-level local prototype constraints. First, we introduce a Background-Separation Global Prototype Contrastive Learning technique that utilizes the natural mutual exclusivity of foreground and background to separate the inter-class distances and encourage the segmentation network to obtain segmentation results that are more complete and do not contain background regions. Second, we design a Cross-Consistent Local Prototype Contrastive Learning techniques to extend the perturbation consistency of the two networks to the prototype's localized response to the feature map, thereby shaping a more stable intra-class prototype space and producing accurate and robust pixel-level predictions. Finally, we comprehensively evaluate our method on mainstream semi-supervised medical image segmentation benchmarks and settings, and experimental results show that our DPC-Net outperforms current state-of-the-art methods. © 2024, The Authors. All rights reserved.

关键词： Contrastive Learning

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Segment Anything Model is a Good Teacher for Local Feature Learning

arXiv

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arXiv 2023年

作者： Wu, Jingqian Xu, Rongtao Wood-Doughty, Zach Wang, Changwei Xu, Shibiao Lam, Edmund Y. The University of Hong Kong Pokfulam Hong Kong The State Key Laboratory of Multimodal Artificial Intelligence Systems Institute of Automation Chinese Academy of Sciences Beijing China School of Artificial Intelligence University of Chinese Academy of Sciences Beijing100190 China Northwestern University EvanstonIL60201 United States The Key Laboratory of Computing Power Network and Information Security Ministry of Education Shandong Computer Science Center National Supercomputer Center in Jinan Qilu University of Technology Shandong Academy of Sciences Jinan250013 China Shandong Provincial Key Laboratory of Computer Networks Shandong Fundamental Research Center for Computer Science Jinan China The School of Artificial Intelligence Beijing University of Posts and Telecommunications Beijing100876 China

Local feature detection and description play an important role in many computer vision tasks, which are designed to detect and describe keypoints in any scene and any downstream task. Data-driven local feature learning methods need to rely on pixel-level correspondence for training. However, a vast number of existing approaches ignored the semantic information on which humans rely to describe image pixels. In addition, it is not feasible to enhance generic scene keypoints detection and description simply by using traditional common semantic segmentation models because they can only recognize a limited number of coarse-grained object classes. In this paper, we propose SAMFeat to introduce SAM (segment anything model), a foundation model trained on 11 million images, as a teacher to guide local feature learning. SAMFeat learns additional semantic information brought by SAM and thus is inspired by higher performance even with limited training samples. To do so, first, we construct an auxiliary task of Attention-weighted Semantic Relation Distillation (ASRD), which adaptively distillates feature relations with category-agnostic semantic information learned by the SAM encoder into a local feature learning network, to improve local feature description using semantic discrimination. Second, we develop a technique called Weakly Supervised Contrastive Learning Based on Semantic Grouping (WSC), which utilizes semantic groupings derived from SAM as weakly supervised signals, to optimize the metric space of local descriptors. Third, we design an Edge Attention Guidance (EAG) to further improve the accuracy of local feature detection and description by prompting the network to pay more attention to the edge region guided by SAM. SAMFeat’s performance on various tasks such as image matching on HPatches, and long-term visual localization on Aachen Day-Night showcases its superiority over previous local features. The release code is available at https://***/vignywang/SAMFeat

关键词： Computer vision

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Advanced critical temperature method of concrete-filled steel tubular columns for early warning of fire-induced failure

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Structures 2025年 77卷

作者： Song, Tian-Yi Wang, Yi-Xuan Yu, Wen-Chuan Zhou, Hongyuan Xiang, Kai Key Laboratory of Urban Security and Disaster Engineering of Ministry of Education Beijing University of Technology Beijing100124 China Tianjin Fire Science and Technology Research Institute of MEM Tianjin300381 China Key Laboratory of Fire Protection Technology for Industry and Public Building Ministry of Emergency Management Tianjin300381 China

In recent years, building collapses due to fires have become more frequent. Early warning of fire-induced building collapses, along with prompt evacuation, can significantly reduce casualties, particularly among firefighters. This paper develops an advanced critical temperature (ACT) method for widely used concrete-filled steel tubular (CFST) columns under center-column and corner-column fire exposures, extending the traditional critical temperature approach. Refined critical temperatures (RCTs) are defined based on multiple characteristic temperature points (CTPs), providing a reliable tool for early fire failure warnings. Finite element analysis models were used to examine the fire performance of CFST columns under various fire exposures, revealing that columns exposed to fire along their full length have the lowest fire resistance. Guidelines for determining RCTs under different fire scenarios were proposed, and the impact of fire protection layers on RCTs was found to be minimal. A parametric analysis showed that the column load ratio, outside dimension, and slenderness ratio significantly affect RCT values. Based on these findings, a design table for the ACT method is proposed, offering a practical approach for the early warning of fire-induced failure in CFST columns. © 2025 Institution of Structural Engineers

关键词： Tubular steel structures

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Efficient quantum state transmission via perfect quantum network coding

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Science China(Information Sciences) 2019年第1期62卷 191-204页

作者： Zhen-Zhen LI Gang XU Xiu-Bo CHEN Zhiguo QU Xin-Xin NIU Yi-Xian YANG Information Security Center State Key Laboratory of Networking and Switching TechnologyBeijing University of Posts and Telecommunications Guizhou Provincial Key Laboratory of Public Big Data Guizhou University Jiangsu Engineering Center of Network Monitoring Nanjing University of Information Science and Technology

Quantum network coding with the assistance of auxiliary resources can achieve perfect transmission of the quantum state. This paper suggests a novel perfect network coding scheme to efficiently solve the quantum k-pair problem, in which only a few assisting resources are introduced. Specifically, only one pair of maximally entangled state needs to be pre-shared between two intermediate nodes, and only O(k) of classical information is transmitted though the network. Moreover, the classical communication used in our protocol does not cause transmission congestion, providing better adaptability to large-scale quantum k-pair *** relevant analyses and comparisons, we demonstrate that our proposed scheme saves resources and has good application value, thereby showing its high efficiency. Furthermore, the proposed scheme achieves 1-max flow quantum communication, and the achievable rate region result is extended from its counterpart over the butterfly network.

关键词： perfect quantum network coding quantum k-pair problem efficient quantum state transmission communication efficiency achievable rate region

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Burst image super-resolution based on dual branch fusion and adaptive frame selection

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Displays 2025年 89卷

作者： Duan, Lijuan Zuo, Wendi Gu, Ke Gong, Zhi School of Computer Science Beijing University of Technology Beijing100124 China Beijing Key Laboratory of Trusted Computing Beijing University of Technology Beijing100124 China National Engineering Laboratory for Critical Technologies of Information Security Classified Protection Beijing University of Technology Beijing100124 China School of Information Science and Technology Beijing University of Technology Beijing100124 China Chongqing Research Institute of Beijing University of Technology China

The modern handheld camera is capable of rapidly capturing multiple images and subsequently merging them into a single image. The extant methodologies typically select the first frame as the reference frame, utilising the information from the remaining frames and the information from the reference frame to calculate the high-resolution image. However, for complex scenes and unstable shooting situations, this fixed frame selection is not the optimum solution. In this direction, we propose an adaptive frame selection method which, by calculating the frame channel weight information, selects the best frame image as the reference frame to perform the subsequent computation. Moreover, to enhance the visual quality of high-resolution images, we propose a dual-branch fusion module in the feature fusion phase for the sequence attributes of the input frame images. This allows the network to concentrate on the temporal global features of the input sequence and the spatial local detail features of the frame images. Subsequently, the feature map is obtained through residual computation utilising the adaptive selected frame image and the image features obtained through fusion. The image is then reconstructed through up-sampling to obtain a high-resolution image. The experimental results on the BurstSR and RealBSR datasets demonstrate that our approach not only outperforms existing techniques in terms of evaluation metrics but also exhibits superior visual effects. © 2025

关键词： Photointerpretation

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A 2-bit graphene encoder based on the plasmon-induced transparency effect and its sensing characteristics

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Results in Physics 2024年 59卷

作者： Zhu, Aijun Li, Zongteng Hou, Weigang Yang, Xinghua Cheng, Lei Hu, Cong Qiao, Fei Mahapatra, Rabi Guangxi Key Laboratory of Automatic Detecting Technology and Instruments Guilin University of Electronic Technology Guilin 541004 China Shanxi Key Laboratory of Advanced Semiconductor Optoelectronic Devices and Integrated Systems Jincheng Shanxi 048000 China Institute of Intelligent Communication and Network Security Chongqing University of Posts and Telecommunications Chongqing 400000 China College of Science Beijing Forestry University Beijing 100083 China Jincheng Research Institute of Opto-mechatronics Industry Jincheng Shanxi 048000 China Guangxi Key Laboratory of Brain-inspired Computing and Intelligent Chips Guangxi Normal University Guilin 541004 China Department of Electronic Engineering Tsinghua University Beijing 100084 China Department of Computer Science and Engineering Texas A&M University College Station 77843-3112 TX United States

A 2-bit encoder based on the plasmon-induced transparency (PIT) effect was proposed and investigated in the range from 2 to 7 THz. The Lorentz oscillation coupling model was utilized to confirm the simulation. By tuning the Fermi levels of cross1 and cross2, the 2-bit encoder was achieved. And the minimum MD was 94.73 %, the minimum ER was 12.77 dB, and the maximum IL was 0.32 dB. As a sensor, the structure had a sensitivity of up to 2.33 THz/RIU. In addition, due to the insensitivities to incidence angle and polarization angle, the encoder could be utilized to complex environments. Therefore, these results reveals that our work is significant in terahertz encoders, optical switches, sensors, slow light devices, and modulators. © 2024 The Author(s)

关键词： 2-bit encoder Metamaterial Plasmon-induced transparency (PIT) effect Plasmonic-graphene Terahertz (THz)

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A quantitative framework for network resilience evaluation using dynamic bayesian network

arXiv

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arXiv 2021年

作者： Jiang, Shanqing Yang, Lin Cheng, Guang Gao, Xianming Feng, Tao Zhou, Yuyang School of Cyber Science and Engineering Southeast University Nanjing China National Key Laboratory of Science and Technology on Information System Security Beijing China Key Laboratory of Computer Network and Information Integration Ministry of Education Nanjing China

Measuring and evaluating network resilience has become an important aspect since the network is vulnerable to both uncertain disturbances and malicious attacks. networked systems are often composed of many dynamic components and change over time, which makes it difficult for existing methods to access the changeable situation of network resilience. This paper establishes a novel quantitative framework for evaluating network resilience using the Dynamic Bayesian network. The proposed framework can be used to evaluate the network's multistage resilience processes when suffering various attacks and recoveries. First, we define the dynamic capacities of network components and establish the network's five core resilience capabilities to describe the resilient networking stages including preparation, resistance, adaptation, recovery, and evolution;the five core resilience capabilities consist of rapid response capability, sustained resistance capability, continuous running capability, rapid convergence capability, and dynamic evolution capability. Then, we employ a two-time slices approach based on the Dynamic Bayesian network to quantify five crucial performances of network resilience based on core capabilities proposed above. The proposed approach can ensure the time continuity of resilience evaluation in time-varying networks. Finally, our proposed evaluation framework is applied to different attacks and recovery conditions in typical simulations and real-world network topology. Results and comparisons with extant studies indicate that the proposed method can achieve more accurate and comprehensive evaluation and can be applied to network scenarios under various attack and recovery intensity. Copyright © 2021, The Authors. All rights reserved.

关键词： Recovery

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PPA: Preference Profiling Attack Against Federated Learning

arXiv

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arXiv 2022年

作者： Zhou, Chunyi Gao, Yansong Fu, Anmin Chen, Kai Dai, Zhiyang Zhang, Zhi Xue, Minhui Zhang, Yuqing School of Computer Science and Engineering Nanjing University of Science and Technology China State Key Laboratory of Information Security Institute of Information Engineering Chinese Academy of Science China Data61 CSIRO Sydney Australia National Computer Network Intrusion Protection Center University of Chinese Academy of Science China

Federated learning (FL) trains a global model across a number of decentralized users, each with a local dataset. Compared to traditional centralized learning, FL does not require direct access to local datasets and thus aims to mitigate data privacy concerns. However, data privacy leakage in FL still exists due to inference attacks, including membership inference, property inference, and data inversion. Copyright © 2022, The Authors. All rights reserved.

关键词： Data privacy

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Predicting the non-breeding distributions of the two Asian subspecies of Black-tailed Godwit using morphological information

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Avian Research 2023年第1期14卷 1-6页

作者： Bing-Run Zhu Mo A.Verhoeven Chris J.Hassell Katherine K-S Leung Dmitry Dorofeev Qiang Ma Krairat Eiamampai Jonathan T.Coleman Uchrakhzaya Tserenbat Gankhuyag Purev-Ochir David Li Zhengwang Zhang Theunis Piersma Conservation Ecology Group Groningen Institute for Evolutionary Life SciencesUniversity of Groningen9747AGthe Netherlands Key Laboratory for Biodiversity Science and Ecological Engineering College of Life SciencesBeijing Normal UniversityBeijing100875China Hunan Global Messenger Technology Co. LtdChangshaChangsha410205China Netherlands Institute of Ecology(NIOO-KNAW) 6708 PBWageningenthe Netherlands Department of Coastal Systems NIOZ Royal Netherlands Institute for Sea ResearchDen Burg1790 ABTexelthe Netherlands Global Flyway Network BroomeWestern Australia6725Australia Australasian Wader Studies Group Western Australia(north)Australia Hong Kong Waterbirds Ringing Group Mai Po Nature ReserveHongKongChina All-Russian Research Institute for Environmental Protection Moscow117628Russia Chongming Dongtan National Nature Reserve Shanghai202183China Department of National Park Wildlife and Plant ConservationMinistry of Natural Resource and EnvironmentBangkok10900Thailand Queensland Wader Study Group Brisbane4128Australia Mongolian Bird Conservation Center Ulaanbaatar210351Mongolia Sungei Buloh Wetland Reserve National Parks Board 718925Singapore CEAAF Centre for East Asian-Australasian Flyway Studies Beijing Forestry UniversityBeijing100083China

Until recently,Limosa limosa melanuroides was thought to be the only subspecies of Black-tailed Godwit in the East Asian-Australasian *** this reason,all previous occurrences and counts of Black-tailed Godwits in the flyway have been assigned to ***,a larger-bodied subspecies,bohaii,has recently been discovered in the *** a result,the occurrence of Black-tailed Godwits in the flyway needs to be reconsidered such that the specific distribution of each subspecies becomes *** this end,we developed a simple discriminant function to assign individuals to subspecies based on their bill and wing ***-validation with individuals known to be bohaii or melanuroides,based on molecular analysis,showed the developed function to be 97.7%*** applied to measurements of godwits captured at 22 sites across 9 countries in East-Southeast Asia and Australia,we found that bohaii and melanuroides occurred at most sites and overlapped in their distribution from Kamchatka to *** examined photos from all along the flyway to verify this surprising result,confirming that both subspecies co-occur in most *** on these results,we hypothesise that bohaii and melanuroides from the west of their breeding ranges mostly migrate over Chinese *** of both subspecies from the east of their ranges are expected to migrate along the Pacific *** encourage ringing groups in East-Southeast Asia and Australia to use this simple method to keep adding knowledge about Black-tailed Godwits in the East Asian-Australasian Flyway.

关键词： DFA Discriminant function analysis East Asian-Australasian Flyway Limosa limosa

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