Search Results - "Zhen, Liangli"

Deep Multimodal Transfer Learning for Cross-Modal Retrieval by Zhen, Liangli, Hu, Peng, Peng, Xi, Goh, Rick Siow Mong, Zhou, Joey Tianyi

“…Cross-modal retrieval (CMR) enables flexible retrieval experience across different modalities (e.g., texts versus images), which maximally benefits us from the…”
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Deep Supervised Multi-View Learning With Graph Priors by Hu, Peng, Zhen, Liangli, Peng, Xi, Zhu, Hongyuan, Lin, Jie, Wang, Xu, Peng, Dezhong

“…This paper presents a novel method for supervised multi-view representation learning, which projects multiple views into a latent common space while preserving…”
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Distributed Monitoring for Energy Infrastructures: A Two-Tier Analysis over Wireless Networks by Zhang, Chi, Zhen, Liangli, Zhou, Joey, Chen, Cen

“…Wireless networks (e.g., 5G networks) enable distributed energy infrastructures to be connected even when they are geometrically isolated. Intelligent…”
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Underdetermined Blind Source Separation Using Sparse Coding by Zhen, Liangli, Peng, Dezhong, Yi, Zhang, Xiang, Yong, Chen, Peng

“…In an underdetermined mixture system with n unknown sources, it is a challenging task to separate these sources from their m observed mixture signals, where m…”
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Evolutionary Architecture Search for Generative Adversarial Networks Based on Weight Sharing by Xue, Yu, Tong, Weinan, Neri, Ferrante, Chen, Peng, Luo, Tao, Zhen, Liangli, Wang, Xiao

“…Generative adversarial networks (GANs) are a powerful generative technique but frequently face challenges with training stability. Network architecture plays a…”
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Natural Language Video Localization: A Revisit in Span-Based Question Answering Framework by Zhang, Hao, Sun, Aixin, Jing, Wei, Zhen, Liangli, Zhou, Joey Tianyi, Goh, Rick Siow Mong

“…Natural Language Video Localization (NLVL) aims to locate a target moment from an untrimmed video that semantically corresponds to a text query. Existing…”
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Joint Versus Independent Multiview Hashing for Cross-View Retrieval by Hu, Peng, Peng, Xi, Zhu, Hongyuan, Lin, Jie, Zhen, Liangli, Peng, Dezhong

“…Thanks to the low storage cost and high query speed, cross-view hashing (CVH) has been successfully used for similarity search in multimedia retrieval…”
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Deep Semisupervised Multiview Learning With Increasing Views by Hu, Peng, Peng, Xi, Zhu, Hongyuan, Zhen, Liangli, Lin, Jie, Yan, Huaibai, Peng, Dezhong

“…In this article, we study two challenging problems in semisupervised cross-view learning. On the one hand, most existing methods assume that the samples in all…”
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Local feature based multi-view discriminant analysis by Hu, Peng, Peng, Dezhong, Guo, Jixiang, Zhen, Liangli

“…In many real-world applications, an object can be represented from multiple views or styles. Thus, it is important to design algorithms that are able to…”
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Deep Supervised Domain Adaptation for Pneumonia Diagnosis From Chest X-Ray Images by Feng, Yangqin, Xu, Xinxing, Wang, Yan, Lei, Xiaofeng, Teo, Soo Kng, Sim, Jordan Zheng Ting, Ting, Yonghan, Zhen, Liangli, Zhou, Joey Tianyi, Liu, Yong, Tan, Cher Heng

“…Pneumonia is one of the most common treatable causes of death, and early diagnosis allows for early intervention. Automated diagnosis of pneumonia can…”
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Geometric Correspondence-Based Multimodal Learning for Ophthalmic Image Analysis by Wang, Yan, Zhen, Liangli, Tan, Tien-En, Fu, Huazhu, Feng, Yangqin, Wang, Zizhou, Xu, Xinxing, Goh, Rick Siow Mong, Ng, Yipin, Calhoun, Claire, Tan, Gavin Siew Wei, Sun, Jennifer K., Liu, Yong, Ting, Daniel Shu Wei

“…Color fundus photography (CFP) and Optical coherence tomography (OCT) images are two of the most widely used modalities in the clinical diagnosis and…”
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MedNAS: Multiscale Training-Free Neural Architecture Search for Medical Image Analysis by Wang, Yan, Zhen, Liangli, Zhang, Jianwei, Li, Miqing, Zhang, Lei, Wang, Zizhou, Feng, Yangqin, Xue, Yu, Wang, Xiao, Chen, Zheng, Luo, Tao, Goh, Rick Siow Mong, Liu, Yong

“…Deep neural networks have demonstrated impressive results in medical image analysis, but designing suitable architectures for each specific task is expertise…”
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Underdetermined Blind Separation by Combining Sparsity and Independence of Sources by Peng Chen, Dezhong Peng, Liangli Zhen, Luo, Yifan, Yong Xiang

“…In this paper, we address underdetermined blind separation of N sources from their M instantaneous mixtures, where N > M, by combining the sparsity and…”
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Deep Neural Network Augments Performance of Junior Residents in Diagnosing COVID-19 Pneumonia on Chest Radiographs by Feng, Yangqin, Sim Zheng Ting, Jordan, Xu, Xinxing, Bee Kun, Chew, Ong Tien En, Edward, Irawan Tan Wee Jun, Hendra, Ting, Yonghan, Lei, Xiaofeng, Chen, Wen-Xiang, Wang, Yan, Li, Shaohua, Cui, Yingnan, Wang, Zizhou, Zhen, Liangli, Liu, Yong, Siow Mong Goh, Rick, Tan, Cher Heng

“…Chest X-rays (CXRs) are essential in the preliminary radiographic assessment of patients affected by COVID-19. Junior residents, as the first point-of-contact…”
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Deep Supervised Cross-Modal Retrieval by Zhen, Liangli, Hu, Peng, Wang, Xu, Peng, Dezhong

“…Cross-modal retrieval aims to enable flexible retrieval across different modalities. The core of cross-modal retrieval is how to measure the content similarity…”
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Automated building extraction using satellite remote sensing imagery by Hu, Qintao, Zhen, Liangli, Mao, Yao, Zhou, Xi, Zhou, Guozhong

“…Automatic extraction of buildings from remote sensing images plays a critical role in urban planning and digital city construction applications. In real-world…”
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DRSL: Deep Relational Similarity Learning for Cross-modal Retrieval by Wang, Xu, Hu, Peng, Zhen, Liangli, Peng, Dezhong

“…Cross-modal retrieval aims to retrieve relevant samples across different media modalities. Existing cross-modal retrieval approaches are contingent on learning…”
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Kernel truncated regression representation for robust subspace clustering by Zhen, Liangli, Peng, Dezhong, Wang, Wei, Yao, Xin

“…•We propose a novel robust subspace clustering method, termed kernel truncated regression representation (KTRR). It can cluster the data points drawn from…”
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Learning Cross-Modal Retrieval with Noisy Labels by Hu, Peng, Peng, Xi, Zhu, Hongyuan, Zhen, Liangli, Lin, Jie

“…Recently, cross-modal retrieval is emerging with the help of deep multimodal learning. However, even for unimodal data, collecting large-scale well-annotated…”
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Adaptive stochastic parallel gradient descent approach for efficient fiber coupling by Hu, Qintao, Zhen, Liangli, Mao, Yao, Zhu, Shiwei, Zhou, Xi, Zhou, Guozhong

“…In high-speed free-space optical communication systems, the received laser beam must be coupled into a single-mode fiber at the input of the receiver module…”
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