Search Results - "Wu, Yujie"

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  1. 1

    Spatio-Temporal Backpropagation for Training High-Performance Spiking Neural Networks by Wu, Yujie, Deng, Lei, Li, Guoqi, Zhu, Jun, Shi, Luping

    Published in Frontiers in neuroscience (23-05-2018)
    “…Spiking neural networks (SNNs) are promising in ascertaining brain-like behaviors since spikes are capable of encoding spatio-temporal information. Recent…”
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  2. 2

    Rethinking the performance comparison between SNNS and ANNS by Deng, Lei, Wu, Yujie, Hu, Xing, Liang, Ling, Ding, Yufei, Li, Guoqi, Zhao, Guangshe, Li, Peng, Xie, Yuan

    Published in Neural networks (01-01-2020)
    “…Artificial neural networks (ANNs), a popular path towards artificial intelligence, have experienced remarkable success via mature models, various benchmarks,…”
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  3. 3

    Dilute Alloying to Implant Activation Centers in Nitride Electrocatalysts for Lithium–Sulfur Batteries by Liu, Quanbing, Wu, Yujie, Li, Dong, Peng, Yan‐Qi, Liu, Xinyan, Li, Bo‐Quan, Huang, Jia‐Qi, Peng, Hong‐Jie

    Published in Advanced materials (Weinheim) (01-02-2023)
    “…Dilute alloying is an effective strategy to tune properties of solid catalysts but is rarely leveraged in complex reactions beyond small molecule conversion…”
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  4. 4

    Prediction of Absolute Solvation Free Energies using Molecular Dynamics Free Energy Perturbation and the OPLS Force Field by Shivakumar, Devleena, Williams, Joshua, Wu, Yujie, Damm, Wolfgang, Shelley, John, Sherman, Woody

    Published in Journal of chemical theory and computation (11-05-2010)
    “…The accurate prediction of protein−ligand binding free energies is a primary objective in computer-aided drug design. The solvation free energy of a small…”
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  6. 6

    Enhanced Cathode Performance in Pr0.5Sr0.5FeO3−δ of Perovskite Catalytic Materials via Doping with VB Subgroup Elements (V, Nb, and Ta) by Chen, Hongfei, Lü, Zhe, Wu, Yujie

    Published in Materials (01-04-2024)
    “…Perovskite-style materials are cathode systems known for their stability in solid oxide fuel cells (SOFCs). Pr0.5Sr0.5FeO3−δ (PSF) exhibits excellent electrode…”
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  7. 7

    Constructing NiFe-LDH wrapped Cu2O nanocube heterostructure photocatalysts for enhanced photocatalytic dye degradation and CO2 reduction via Z-scheme mechanism by Wu, Yujie, Gong, Yinyan, Liu, Jiahao, Chen, Tianyu, Liu, Quan, Zhu, Yeting, Niu, Lengyuan, Li, Can, Liu, Xinjuan, Sun, Chang Q., Xu, Shiqing

    Published in Journal of alloys and compounds (05-08-2020)
    “…Considering the flexible chemical composition, tunable electronic properties and unique two-dimensional structure of layered double hydroxides (LDHs), we…”
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  8. 8

    Temporal variation of oxidative potential of water soluble components of ambient PM2.5 measured by dithiothreitol (DTT) assay by Wang, Jingpeng, Lin, Xin, Lu, Liping, Wu, Yujie, Zhang, Huanxin, Lv, Qi, Liu, Weiping, Zhang, Yanlin, Zhuang, Shulin

    Published in The Science of the total environment (01-02-2019)
    “…The exposure to ambient fine particulate matter (PM2.5) can induce oxidative stress, contributing to global burden of diseases. The evaluation of the oxidative…”
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  9. 9

    The gut microbiota facilitate their host tolerance to extreme temperatures by Wang, Ziguang, Wu, Yujie, Li, Xinxin, Ji, Xiaowen, Liu, Wei

    Published in BMC microbiology (20-04-2024)
    “…Exposure to extreme cold or heat temperature is one leading cause of weather-associated mortality and morbidity in animals. Emerging studies demonstrate that…”
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  10. 10

    The background assimilation effect: Facial emotional perception is affected by surrounding stimuli by Wu, Yujie, Ying, Haojiang

    Published in i-Perception (London) (01-07-2023)
    “…The perception of facial emotion is not only determined by the physical features of the face itself but also be influenced by the emotional information of the…”
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  11. 11

    Brain-inspired global-local learning incorporated with neuromorphic computing by Wu, Yujie, Zhao, Rong, Zhu, Jun, Chen, Feng, Xu, Mingkun, Li, Guoqi, Song, Sen, Deng, Lei, Wang, Guanrui, Zheng, Hao, Ma, Songchen, Pei, Jing, Zhang, Youhui, Zhao, Mingguo, Shi, Luping

    Published in Nature communications (10-01-2022)
    “…There are two principle approaches for learning in artificial intelligence: error-driven global learning and neuroscience-oriented local learning. Integrating…”
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  12. 12

    Quantitative Evaluation of Wavelet Analysis Method for Turbulent Flux Calculation of Non‐Stationary Series by Li, Yubin, Wu, Yujie, Tang, Jie, Zhu, Ping, Gao, Zhiqiu, Yang, Yuanjian

    Published in Geophysical research letters (16-03-2023)
    “…This study evaluates the uncertainties of turbulent flux calculation using eddy covariance (EC) and wavelet analysis (WA) methods. First, a non‐stationary data…”
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  13. 13

    SD-YOLOv8: An Accurate Seriola dumerili Detection Model Based on Improved YOLOv8 by Liu, Mingxin, Li, Ruixin, Hou, Mingxin, Zhang, Chun, Hu, Jiming, Wu, Yujie

    Published in Sensors (Basel, Switzerland) (04-06-2024)
    “…Accurate identification of (SD) offers crucial technical support for aquaculture practices and behavioral research of this species. However, the task of…”
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  14. 14

    A framework for the general design and computation of hybrid neural networks by Zhao, Rong, Yang, Zheyu, Zheng, Hao, Wu, Yujie, Liu, Faqiang, Wu, Zhenzhi, Li, Lukai, Chen, Feng, Song, Seng, Zhu, Jun, Zhang, Wenli, Huang, Haoyu, Xu, Mingkun, Sheng, Kaifeng, Yin, Qianbo, Pei, Jing, Li, Guoqi, Zhang, Youhui, Zhao, Mingguo, Shi, Luping

    Published in Nature communications (14-06-2022)
    “…There is a growing trend to design hybrid neural networks (HNNs) by combining spiking neural networks and artificial neural networks to leverage the strengths…”
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  15. 15

    Temporal dendritic heterogeneity incorporated with spiking neural networks for learning multi-timescale dynamics by Zheng, Hanle, Zheng, Zhong, Hu, Rui, Xiao, Bo, Wu, Yujie, Yu, Fangwen, Liu, Xue, Li, Guoqi, Deng, Lei

    Published in Nature communications (04-01-2024)
    “…It is widely believed the brain-inspired spiking neural networks have the capability of processing temporal information owing to their dynamic attributes…”
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  16. 16

    Analytical method for detecting outlier evaluators by Wu, Yujie, Curhan, Sharon, Rosner, Bernard, Curhan, Gary, Wang, Molin

    Published in BMC medical research methodology (01-08-2023)
    “…Epidemiologic and medical studies often rely on evaluators to obtain measurements of exposures or outcomes for study participants, and valid estimates of…”
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  17. 17

    Nitrogen supply improved plant growth and Cd translocation in maize at the silking and physiological maturity under moderate Cd stress by An, Tingting, Wu, Yujie, Xu, Bingcheng, Zhang, Suiqi, Deng, Xiping, Zhang, Yi, Siddique, Kadambot HM, Chen, Yinglong

    Published in Ecotoxicology and environmental safety (15-01-2022)
    “…Soil cadmium (Cd) contamination is a serious problem on agricultural land. Adequate nitrogen (N) may help ameliorate plant fitness under Cd stress. This study…”
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  18. 18

    Adaptive spatiotemporal neural networks through complementary hybridization by Wu, Yujie, Shi, Bizhao, Zheng, Zhong, Zheng, Hanle, Yu, Fangwen, Liu, Xue, Luo, Guojie, Deng, Lei

    Published in Nature communications (27-08-2024)
    “…Processing spatiotemporal data sources with both high spatial dimension and rich temporal information is a ubiquitous need in machine intelligence. Recurrent…”
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  19. 19

    Sodium Leak Channel in Glutamatergic Neurons of the Lateral Parabrachial Nucleus Modulates Inflammatory Pain in Mice by Wu, Lin, Wu, Yujie, Liu, Jin, Jiang, Jingyao, Zhou, Cheng, Zhang, Donghang

    “…Elevated excitability of glutamatergic neurons in the lateral parabrachial nucleus (PBL) is associated with the pathogenesis of inflammatory pain, but the…”
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  20. 20

    Accurate Modeling of Scaffold Hopping Transformations in Drug Discovery by Wang, Lingle, Deng, Yuqing, Wu, Yujie, Kim, Byungchan, LeBard, David N, Wandschneider, Dan, Beachy, Mike, Friesner, Richard A, Abel, Robert

    Published in Journal of chemical theory and computation (10-01-2017)
    “…The accurate prediction of protein–ligand binding free energies remains a significant challenge of central importance in computational biophysics and…”
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