Search Results - "Wu, Yingwen"

Technological capability, eco-innovation performance, and cooperative R&D strategy in new energy vehicle industry: Evidence from listed companies in China by Wu, Yingwen, Gu, Fu, Ji, Yangjian, Guo, Jianfeng, Fan, Ying

“…To promote low-carbon economy and sustainable energy consumption, new energy vehicles (NEVs), a typical eco-innovation, are drawing intensive attention from…”
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Phage display-based discovery of cyclic peptides against the broad spectrum bacterial anti-virulence target CsrA by Jakob, Valentin, Zoller, Ben G.E., Rinkes, Julia, Wu, Yingwen, Kiefer, Alexander F., Hust, Michael, Polten, Saskia, White, Andrew M., Harvey, Peta J., Durek, Thomas, Craik, David J., Siebert, Andreas, Kazmaier, Uli, Empting, Martin

“…Small macrocyclic peptides are promising candidates for new anti-infective drugs. To date, such peptides have been poorly studied in the context of…”
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Collaborative Penalized Least Squares for Background Correction of Multiple Raman Spectra by Chen, Zhuo, Li, Tianjun, Wu, Yingwen, Chen, Long

“…Although Raman spectroscopy has been widely used as a noninvasive analytical tool in various applications, backgrounds in Raman spectra impair its performance…”
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Identifying firm-specific technology opportunities from the perspective of competitors by using association rule mining by Wu, Yingwen, Ji, Yangjian

“…•We identify firm-specific technology opportunities from the perspective of competitors.•Similarities between the target firm and competitors are…”
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Identifying firm-specific technology opportunities in a supply chain: Link prediction analysis in multilayer networks by Wu, Yingwen, Ji, Yangjian, Gu, Fu

“…•We identify firm-specific technology opportunities in supply chains.•Technology correlations of different echelons of supply chains are considered.•A…”
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Toward Transferable Adversarial Attacks Against Autoencoder-Based Network Intrusion Detectors by Zhang, Yihang, Wu, Yingwen, Huang, Xiaolin

“…Deploying machine learning (ML)-based network intrusion detection systems has become a mainstream solution to improve the security of network efficiently…”
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Low-Dimensional Gradient Helps Out-of-Distribution Detection by Wu, Yingwen, Li, Tao, Cheng, Xinwen, Yang, Jie, Huang, Xiaolin

“…Detecting out-of-distribution (OOD) samples is essential for ensuring the reliability of deep neural networks (DNNs) in real-world scenarios. While previous…”
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Electric vehicle adoption and local PM2.5 reduction: Evidence from China by Wu, Yingwen, Gu, Fu, Ji, Yangjian, Ma, Shaochao, Guo, Jianfeng

“…A major objective of promoting the adoption of electric vehicles (EVs) is to reduce emissions of PM2.5, one of the most common air pollutants. To better…”
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Subspace Adversarial Training by Li, Tao, Wu, Yingwen, Chen, Sizhe, Fang, Kun, Huang, Xiaolin

“…Single-step adversarial training (AT) has received wide attention as it proved to be both efficient and robust. However, a serious problem of catastrophic…”
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Towards robust neural networks via orthogonal diversity by Fang, Kun, Tao, Qinghua, Wu, Yingwen, Li, Tao, Cai, Jia, Cai, Feipeng, Huang, Xiaolin, Yang, Jie

“…Deep Neural Networks (DNNs) are vulnerable to invisible perturbations on the images generated by adversarial attacks, which raises researches on the…”
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Comparison of spectra processing methods for SERS based quantitative analysis by Yingwen Wu, Long Chen

“…Raman spectroscopy, which can provide valuable information about chemical structure, is widely used as an analytical tool for material identification and…”
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The Role of Conspiracy Theories in the Spread of COVID-19 across the United States by Gu, Fu, Wu, Yingwen, Hu, Xinyu, Guo, Jianfeng, Yang, Xiaohan, Zhao, Xinze

“…The outbreak of coronavirus disease 2019 (COVID-19) inspires various conspiracy theories, which could divert public attention, alter human behaviors, and…”
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A collaborative evaluation method of the quality of patent scientific and technological resources by Wu, Yingwen, Ji, Yangjian, Gu, Fu, Guo, Jianfeng

“…A justified patent quality evaluation method is critical to improving the sharing efficiency of scientific and technological resources in online platforms. We…”
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Image guided Fuzzy C-means for image segmentation by Li Guo, Long Chen, Yingwen Wu, Chen, C. L. Philip

“…Prior knowledge has been considered as valuable information in many image processing techniques. In this paper, we take the original image itself as the prior…”
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First Small-Molecule Inhibitors Targeting the RNA-Binding Protein IGF2BP2/IMP2 for Cancer Therapy by Dahlem, Charlotte, Abuhaliema, Ali, Kessler, Sonja M, Kröhler, Tarek, Zoller, Ben G. E, Chanda, Shilpee, Wu, Yingwen, Both, Simon, Müller, Fabian, Lepikhov, Konstantin, Kirsch, Susanne H, Laggai, Stephan, Müller, Rolf, Empting, Martin, Kiemer, Alexandra K

“…The RNA-binding protein IGF2BP2/IMP2/VICKZ2/p62 is overexpressed in several tumor entities, promotes tumorigenesis and tumor progression, and has been…”
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Establishment of an In Bacterio Assay for the Assessment of Carbon Storage Regulator A (CsrA) Inhibitors by Wu, Yingwen, Zoller, Ben G. E., Kamal, Mohamed Ashraf Mostafa, Hotop, Sven‐Kevin, Lehr, Claus‐Michael, Brönstrup, Mark, Dersch, Petra, Empting, Martin

“…Polymicrobial infections involving various combinations of microorganisms, such as Escherichia, Pseudomonas, or Yersinia, can lead to acute and chronic…”
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Image Guided Fuzzy C-Means for Image Segmentation by Guo, Li, Chen, Long, Wu, Yingwen, Chen, C. L. Philip

“…Prior knowledge has been considered as valuable supplementary information in many image processing techniques. In this paper, we take the input image itself as…”
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Pursuing Feature Separation based on Neural Collapse for Out-of-Distribution Detection by Wu, Yingwen, Yu, Ruiji, Cheng, Xinwen, He, Zhengbao, Huang, Xiaolin

“…In the open world, detecting out-of-distribution (OOD) data, whose labels are disjoint with those of in-distribution (ID) samples, is important for reliable…”
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Online Continual Learning via Logit Adjusted Softmax by Huang, Zhehao, Li, Tao, Yuan, Chenhe, Wu, Yingwen, Huang, Xiaolin

“…Online continual learning is a challenging problem where models must learn from a non-stationary data stream while avoiding catastrophic forgetting…”
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Low-Dimensional Gradient Helps Out-of-Distribution Detection by Wu, Yingwen, Li, Tao, Cheng, Xinwen, Yang, Jie, Huang, Xiaolin

“…Detecting out-of-distribution (OOD) samples is essential for ensuring the reliability of deep neural networks (DNNs) in real-world scenarios. While previous…”
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