Search Results - "Yu, Gang"

Two-dimensional materials for next-generation computing technologies by Liu, Chunsen, Chen, Huawei, Wang, Shuiyuan, Liu, Qi, Jiang, Yu-Gang, Zhang, David Wei, Liu, Ming, Zhou, Peng

“…Rapid digital technology advancement has resulted in a tremendous increase in computing tasks imposing stringent energy efficiency and area efficiency…”
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Exploiting Feature and Class Relationships in Video Categorization with Regularized Deep Neural Networks by Jiang, Yu-Gang, Wu, Zuxuan, Wang, Jun, Xue, Xiangyang, Chang, Shih-Fu

“…In this paper, we study the challenging problem of categorizing videos according to high-level semantics such as the existence of a particular human action or…”
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NAIS: Neural Attentive Item Similarity Model for Recommendation by He, Xiangnan, He, Zhankui, Song, Jingkuan, Liu, Zhenguang, Jiang, Yu-Gang, Chua, Tat-Seng

“…Item-to-item collaborative filtering ( aka. item-based CF) has been long used for building recommender systems in industrial settings, owing to its…”
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Antinuclei in heavy-ion collisions by Chen, Jinhui, Keane, Declan, Ma, Yu-Gang, Tang, Aihong, Xu, Zhangbu

“…We review progress in the study of antinuclei, starting from Dirac’s equation and the discovery of the positron in cosmic-ray events. The development of proton…”
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Multi-Level Semantic Feature Augmentation for One-Shot Learning by Chen, Zitian, Fu, Yanwei, Zhang, Yinda, Jiang, Yu-Gang, Xue, Xiangyang, Sigal, Leonid

“…The ability to quickly recognize and learn new visual concepts from limited samples enable humans to quickly adapt to new tasks and environments. This ability…”
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Social Anchor-Unit Graph Regularized Tensor Completion for Large-Scale Image Retagging by Tang, Jinhui, Shu, Xiangbo, Li, Zechao, Jiang, Yu-Gang, Tian, Qi

“…Image retagging aims to improve the tag quality of social images by completing the missing tags, rectifying the noise-corrupted tags, and assigning new…”
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Leader-Based Multi-Scale Attention Deep Architecture for Person Re-Identification by Qian, Xuelin, Fu, Yanwei, Xiang, Tao, Jiang, Yu-Gang, Xue, Xiangyang

“…Person re-identification (re-id) aims to match people across non-overlapping camera views in a public space. This is a challenging problem because the people…”
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Synchroextracting Transform by Yu, Gang, Yu, Mingjin, Xu, Chuanyan

“…In this paper, we introduce a new time-frequency (TF) analysis (TFA) method to study the trend and instantaneous frequency (IF) of nonlinear and nonstationary…”
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Mitigating the Kinetic Hindrance of Single‐Crystalline Ni‐Rich Cathode via Surface Gradient Penetration of Tantalum by Zou, Yu‐Gang, Mao, Huican, Meng, Xin‐Hai, Du, Ya‐Hao, Sheng, Hang, Yu, Xiqian, Shi, Ji‐Lei, Guo, Yu‐Guo

“…Single‐crystalline Ni‐rich cathodes are promising candidates for the next‐generation high‐energy Li‐ion batteries. However, they still suffer from poor rate…”
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Small footprint transistor architecture for photoswitching logic and in situ memory by Liu, Chunsen, Chen, Huawei, Hou, Xiang, Zhang, Heng, Han, Jun, Jiang, Yu-Gang, Zeng, Xiaoyang, Zhang, David Wei, Zhou, Peng

“…The need for continuous size downscaling of silicon transistors is driving the industrial development of strategies to enable further footprint reduction 1 , 2…”
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Ultrafast non-volatile flash memory based on van der Waals heterostructures by Liu, Lan, Liu, Chunsen, Jiang, Lilai, Li, Jiayi, Ding, Yi, Wang, Shuiyuan, Jiang, Yu-Gang, Sun, Ya-Bin, Wang, Jianlu, Chen, Shiyou, Zhang, David Wei, Zhou, Peng

“…Flash memory has become a ubiquitous solid-state memory device widely used in portable digital devices, computers and enterprise applications. The development…”
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Hookworm Detection in Wireless Capsule Endoscopy Images With Deep Learning by Jun-Yan He, Xiao Wu, Yu-Gang Jiang, Qiang Peng, Jain, Ramesh

“…As one of the most common human helminths, hookworm is a leading cause of maternal and child morbidity, which seriously threatens human health. Recently,…”
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Spatial-Temporal Graphs for Cross-Modal Text2Video Retrieval by Song, Xue, Chen, Jingjing, Wu, Zuxuan, Jiang, Yu-Gang

“…Cross-modal text to video retrieval aims to find relevant videos given text queries, which is crucial for various real-world applications. The key to address…”
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Numerical simulation of thermal behavior and multicomponent mass transfer in direct laser deposition of Co-base alloy on steel by Gan, Zhengtao, Yu, Gang, He, Xiuli, Li, Shaoxia

“…•Thermal behavior and multicomponent mass transfer in direct laser deposition is simulated.•The solidification characteristics are obtained by transient…”
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Shannon information entropy in heavy-ion collisions by Ma, Chun-Wang, Ma, Yu-Gang

“…The general idea of information entropy provided by C.E. Shannon “hangs over everything we do” and can be applied to a great variety of problems once the…”
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Object Detection from Scratch with Deep Supervision by Shen, Zhiqiang, Liu, Zhuang, Li, Jianguo, Jiang, Yu-Gang, Chen, Yurong, Xue, Xiangyang

“…In this paper, we propose Deeply Supervised Object Detectors (DSOD), an object detection framework that can be trained from scratch. Recent advances in object…”
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Learning Deep Cross-Modal Embedding Networks for Zero-Shot Remote Sensing Image Scene Classification by Li, Yansheng, Zhu, Zhihui, Yu, Jin-Gang, Zhang, Yongjun

“…Due to its wide applications, remote sensing (RS) image scene classification has attracted increasing research interest. When each category has a sufficient…”
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Learning to Score Figure Skating Sport Videos by Xu, Chengming, Fu, Yanwei, Zhang, Bing, Chen, Zitian, Jiang, Yu-Gang, Xue, Xiangyang

“…This paper aims at learning to score the figure skating sports videos. To address this task, we propose a deep architecture that includes two complementary…”
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LncRNA DGCR5 represses the development of hepatocellular carcinoma by targeting the miR‐346/KLF14 axis by Wang, Yu‐Gang, Liu, Juan, Shi, Min, Chen, Fa‐Xiang

“…Long non‐coding RNAs (lncRNAs) are a class of regulatory noncoding RNAs. Emerging evidence highlights the critical roles of lncRNAs in the progression of…”
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Cross-Domain Contrastive Learning for Unsupervised Domain Adaptation by Wang, Rui, Wu, Zuxuan, Weng, Zejia, Chen, Jingjing, Qi, Guo-Jun, Jiang, Yu-Gang

“…Unsupervised domain adaptation (UDA) aims to transfer knowledge learned from a fully-labeled source domain to a different unlabeled target domain. Most…”
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