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  1. Book ; Online: FAN

    Li, Ming / Liu, Naiyin / Pan, Xiaofeng / Huang, Yang / Li, Ningning / Su, Yingmin / Mao, Chengjun / Cao, Bo

    Fatigue-Aware Network for Click-Through Rate Prediction in E-commerce Recommendation

    2023  

    Abstract: ... many similar recommendations. In this paper, we propose Fatigue-Aware Network (FAN), a novel CTR model ... world datasets validate the superiority of FAN and online A/B tests also show FAN outperforms ...

    Abstract Since clicks usually contain heavy noise, increasing research efforts have been devoted to modeling implicit negative user behaviors (i.e., non-clicks). However, they either rely on explicit negative user behaviors (e.g., dislikes) or simply treat non-clicks as negative feedback, failing to learn negative user interests comprehensively. In such situations, users may experience fatigue because of seeing too many similar recommendations. In this paper, we propose Fatigue-Aware Network (FAN), a novel CTR model that directly perceives user fatigue from non-clicks. Specifically, we first apply Fourier Transformation to the time series generated from non-clicks, obtaining its frequency spectrum which contains comprehensive information about user fatigue. Then the frequency spectrum is modulated by category information of the target item to model the bias that both the upper bound of fatigue and users' patience is different for different categories. Moreover, a gating network is adopted to model the confidence of user fatigue and an auxiliary task is designed to guide the learning of user fatigue, so we can obtain a well-learned fatigue representation and combine it with user interests for the final CTR prediction. Experimental results on real-world datasets validate the superiority of FAN and online A/B tests also show FAN outperforms representative CTR models significantly.
    Keywords Computer Science - Information Retrieval ; Computer Science - Human-Computer Interaction ; Computer Science - Machine Learning
    Subject code 004
    Publishing date 2023-04-10
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  2. Book ; Online: FAN

    Pang, Yingxue / Li, Xin / Jin, Xin / Wu, Yaojun / Liu, Jianzhao / Liu, Sen / Chen, Zhibo

    Frequency Aggregation Network for Real Image Super-resolution

    2020  

    Abstract: ... Therefore, we propose FAN, a frequency aggregation network, to address the real-world image super-resolu-tion problem ... We conduct extensive experiments quantitatively and qualitatively to verify that our FAN performs well ...

    Abstract Single image super-resolution (SISR) aims to recover the high-resolution (HR) image from its low-resolution (LR) input image. With the development of deep learning, SISR has achieved great progress. However, It is still a challenge to restore the real-world LR image with complicated authentic degradations. Therefore, we propose FAN, a frequency aggregation network, to address the real-world image super-resolu-tion problem. Specifically, we extract different frequencies of the LR image and pass them to a channel attention-grouped residual dense network (CA-GRDB) individually to output corresponding feature maps. And then aggregating these residual dense feature maps adaptively to recover the HR image with enhanced details and textures. We conduct extensive experiments quantitatively and qualitatively to verify that our FAN performs well on the real image super-resolution task of AIM 2020 challenge. According to the released final results, our team SR-IM achieves the fourth place on the X4 track with PSNR of 31.1735 and SSIM of 0.8728.

    Comment: 14 pages, 7 figures, presented as a workshop paper at AIM 2020 Challenge @ ECCV 2020
    Keywords Electrical Engineering and Systems Science - Image and Video Processing ; Computer Science - Computer Vision and Pattern Recognition ; Computer Science - Machine Learning
    Subject code 006
    Publishing date 2020-09-30
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  3. Book ; Online: FAN

    Yin, Xi / Tai, Ying / Huang, Yuge / Liu, Xiaoming

    Feature Adaptation Network for Surveillance Face Recognition and Normalization

    2019  

    Abstract: ... Adaptation Network (FAN) to jointly perform surveillance FR and normalization. Our face normalization mainly ... typically unavailable between real-world low-resolution and high-resolution faces. FAN can leverage ...

    Abstract This paper studies face recognition (FR) and normalization in surveillance imagery. Surveillance FR is a challenging problem that has great values in law enforcement. Despite recent progress in conventional FR, less effort has been devoted to surveillance FR. To bridge this gap, we propose a Feature Adaptation Network (FAN) to jointly perform surveillance FR and normalization. Our face normalization mainly acts on the aspect of image resolution, closely related to face super-resolution. However, previous face super-resolution methods require paired training data with pixel-to-pixel correspondence, which is typically unavailable between real-world low-resolution and high-resolution faces. FAN can leverage both paired and unpaired data as we disentangle the features into identity and non-identity components and adapt the distribution of the identity features, which breaks the limit of current face super-resolution methods. We further propose a random scale augmentation scheme to learn resolution robust identity features, with advantages over previous fixed scale augmentation. Extensive experiments on LFW, WIDER FACE, QUML-SurvFace and SCface datasets have shown the effectiveness of our method on surveillance FR and normalization.
    Keywords Computer Science - Computer Vision and Pattern Recognition ; Computer Science - Machine Learning
    Subject code 006
    Publishing date 2019-11-26
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  4. Article ; Online: Aerodynamic noise characteristics of a centrifugal fan in high-altitude environments.

    Liu, Xue / Liu, Jian

    PloS one

    2024  Volume 19, Issue 1, Page(s) e0296907

    Abstract: ... of a centrifugal fan flow field are performed at altitudes of 0, 1000, 2000, 3000, 4000, and 5000 m, and the Ffowcs ... Williams-Hawkings equation is used to predict the aerodynamic noise of the fan. The results indicate ... that the tonal and broadband noise generated by the fan decrease with increasing altitude, and ...

    Abstract In high-altitude areas, the air is thin and the atmospheric pressure is low, which can affect the performance of centrifugal fans and aerodynamic noise. In this paper, steady and unsteady simulations of a centrifugal fan flow field are performed at altitudes of 0, 1000, 2000, 3000, 4000, and 5000 m, and the Ffowcs Williams-Hawkings equation is used to predict the aerodynamic noise of the fan. The results indicate that the tonal and broadband noise generated by the fan decrease with increasing altitude, and the A-weighted sound pressure level of each frequency band of the fan decreases when the air volume is held fixed. The maximum sound power level Lwmax, sound pressure pulsation interval, and total noise sound pressure level Lp decrease linearly with increasing altitude. For every 1000 m increase in altitude, Lwmax and Lp decrease by 0.45 dB and 1.05 dB respectively. The fan noise characteristics, performance parameters, and human auditory perception are the main factors that affect the establishment of fan noise standards in high-altitude areas.
    MeSH term(s) Humans ; Noise ; Altitude ; Acoustics ; Sound ; Atmospheric Pressure
    Language English
    Publishing date 2024-01-18
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2267670-3
    ISSN 1932-6203 ; 1932-6203
    ISSN (online) 1932-6203
    ISSN 1932-6203
    DOI 10.1371/journal.pone.0296907
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Comparison of Fan-Traps and Gravitraps for

    Pan, Chao-Ying / Cheng, Lie / Liu, Wei-Liang / Su, Matthew P / Ho, Hui-Pin / Liao, Che-Hun / Chang, Jui-Hun / Yang, Yu-Chieh / Hsu, Cheng-Chun / Huang, Joh-Jong / Chen, Chun-Hong

    Frontiers in public health

    2022  Volume 10, Page(s) 778736

    Abstract: A key component of integrated vector management strategies is the efficient implementation of mosquito traps for surveillance and control. Numerous trap types have been created with distinct designs and capture mechanisms, but identification of the most ... ...

    Abstract A key component of integrated vector management strategies is the efficient implementation of mosquito traps for surveillance and control. Numerous trap types have been created with distinct designs and capture mechanisms, but identification of the most effective trap type is critical for effective implementation. For dengue vector surveillance, previous studies have demonstrated that active traps utilizing CO
    MeSH term(s) Aedes ; Animals ; Mosquito Control ; Mosquito Vectors ; Taiwan
    Language English
    Publishing date 2022-03-17
    Publishing country Switzerland
    Document type Comparative Study ; Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2711781-9
    ISSN 2296-2565 ; 2296-2565
    ISSN (online) 2296-2565
    ISSN 2296-2565
    DOI 10.3389/fpubh.2022.778736
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Fan-in/fan-out for heterogeneous 19-core fibers based on metasurfaces with nonuniform phase plates.

    Wang, Yang / Wang, Xutao / Li, Chunshu / He, Yichen / Huang, Zhanhua / Liu, Yaping / Yang, Zhiqun / Zhang, Lin

    Optics letters

    2023  Volume 49, Issue 1, Page(s) 5–8

    Abstract: In space-division-multiplexed transmission systems, it is essential to realize fan-in/fan-out ... a metasurface-based fan-in/fan-out device with nonuniform phase plates for heterogeneous 19-core fibers across ...

    Abstract In space-division-multiplexed transmission systems, it is essential to realize fan-in/fan-out devices that connect the cores between multicore fibers and single-mode fibers. In this Letter, we propose a metasurface-based fan-in/fan-out device with nonuniform phase plates for heterogeneous 19-core fibers across the full C band. Our results show that an average insertion loss of 0.85 dB and a maximum crosstalk of -25.5 dB can be achieved at 1550 nm. Across the C band, the insertion loss and crosstalk are better than 2.78 dB and -19.96 dB, respectively. The proposed concept can flexibly handle various fiber configurations without additional complexity.
    Language English
    Publishing date 2023-12-22
    Publishing country United States
    Document type Journal Article
    ISSN 1539-4794
    ISSN (online) 1539-4794
    DOI 10.1364/OL.507445
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Book ; Online: Application of a Dense Fusion Attention Network in Fault Diagnosis of Centrifugal Fan

    Wang, Ruijun / Liu, Yuan / Fan, Zhixia / Xu, Xiaogang / Wang, Huijie

    2023  

    Abstract: ... the ability to resist noise is answered. Centrifugal fan fault data is used to verify this network ...

    Abstract Although the deep learning recognition model has been widely used in the condition monitoring of rotating machinery. However, it is still a challenge to understand the correspondence between the structure and function of the model and the diagnosis process. Therefore, this paper discusses embedding distributed attention modules into dense connections instead of traditional dense cascading operations. It not only decouples the influence of space and channel on fault feature adaptive recalibration feature weights, but also forms a fusion attention function. The proposed dense fusion focuses on the visualization of the network diagnosis process, which increases the interpretability of model diagnosis. How to continuously and effectively integrate different functions to enhance the ability to extract fault features and the ability to resist noise is answered. Centrifugal fan fault data is used to verify this network. Experimental results show that the network has stronger diagnostic performance than other advanced fault diagnostic models.
    Keywords Computer Science - Machine Learning
    Subject code 006
    Publishing date 2023-11-12
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  8. Article ; Online: Genetic algorithm assisted bridge fiber design and fabrication for few-mode multi-core fiber Fan-in/Fan-out device.

    Zhang, Fengming / Liu, Zhuyixiao / Du, Haoze / Shao, Yuanhui / Shen, Lei / Yang, Liubo / Yan, Changkun / Zhao, Zhiyong / Tang, Ming

    Optics express

    2022  Volume 30, Issue 11, Page(s) 19042–19054

    Abstract: ... insertion loss few-mode multi-core fiber Fan-in/Fan-out device. The genetic algorithm is applied to optimize ... we have successfully drew the designed bridge fiber and fabricated the corresponding Fan-in/Fan-out device ...

    Abstract We present a rapid and precise method to design the multiple step-index bridge fiber for ultra-low insertion loss few-mode multi-core fiber Fan-in/Fan-out device. The genetic algorithm is applied to optimize the structural parameters to support multi-mode operation. Based on the proposed intelligent iteration platform, core-based multiplex/demultiplex optimization can be achieved with less than 1.0 dB insertion loss for the first 6 LP modes in space division multiplexing system consisting of few-mode multi-core fibers. Besides, we have successfully drew the designed bridge fiber and fabricated the corresponding Fan-in/Fan-out device. When connecting it with the single-core 6-mode fiber and 7-core 6-mode fiber, the average insertion losses of mode LP01, LP11a, LP11b, LP21a, LP21b, and LP02 are 0.88 dB, 1.11 dB, 1.07 dB, 1.42 dB, 1.33 dB, and 1.04 dB, respectively.
    Language English
    Publishing date 2022-10-12
    Publishing country United States
    Document type Journal Article
    ZDB-ID 1491859-6
    ISSN 1094-4087 ; 1094-4087
    ISSN (online) 1094-4087
    ISSN 1094-4087
    DOI 10.1364/OE.457374
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Aerodynamic noise characteristics of a centrifugal fan in high-altitude environments

    Xue Liu / Jian Liu

    PLoS ONE, Vol 19, Iss

    2024  Volume 1

    Keywords Medicine ; R ; Science ; Q
    Language English
    Publishing date 2024-01-01T00:00:00Z
    Publisher Public Library of Science (PLoS)
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  10. Article ; Online: Correction: Fan et al. Native Collagen II Relieves Bone Impairment through Improving Inflammation and Oxidative Stress in Ageing db/db Mice.

    Fan, Rui / Hao, Yuntao / Liu, Xinran / Kang, Jiawei / Hu, Jiani / Mao, Ruixue / Liu, Rui / Zhu, Na / Xu, Meihong / Li, Yong

    Molecules (Basel, Switzerland)

    2022  Volume 27, Issue 2

    Abstract: The authors would like to correct spelling mistakes (undenatured type II collagen) in the title, as well as in the main manuscript including the tables and figures in the title paper [ ... ]. ...

    Abstract The authors would like to correct spelling mistakes (undenatured type II collagen) in the title, as well as in the main manuscript including the tables and figures in the title paper [...].
    Language English
    Publishing date 2022-01-17
    Publishing country Switzerland
    Document type Published Erratum
    ZDB-ID 1413402-0
    ISSN 1420-3049 ; 1431-5165 ; 1420-3049
    ISSN (online) 1420-3049
    ISSN 1431-5165 ; 1420-3049
    DOI 10.3390/molecules27020571
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