Search Results - "Qi Guo"

Loss-Sensitive Generative Adversarial Networks on Lipschitz Densities by Qi, Guo-Jun

“…In this paper, we present the Lipschitz regularization theory and algorithms for a novel Loss-Sensitive Generative Adversarial Network (LS-GAN). Specifically,…”
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Contrastive Learning with Stronger Augmentations by Wang, Xiao, Qi, Guo-Jun

“…Representation learning has significantly been developed with the advance of contrastive learning methods. Most of those methods are benefited from various…”
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Spatiotemporal Co-Attention Recurrent Neural Networks for Human-Skeleton Motion Prediction by Shu, Xiangbo, Zhang, Liyan, Qi, Guo-Jun, Liu, Wei, Tang, Jinhui

“…Human motion prediction aims to generate future motions based on the observed human motions. Witnessing the success of Recurrent Neural Networks (RNN) in…”
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Self‐Assembled Peptide‐Based Nanomaterials for Biomedical Imaging and Therapy by Qi, Guo‐Bin, Gao, Yu‐Juan, Wang, Lei, Wang, Hao

“…Peptide‐based materials are one of the most important biomaterials, with diverse structures and functionalities. Over the past few decades, a self‐assembly…”
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Hierarchical Long Short-Term Concurrent Memory for Human Interaction Recognition by Shu, Xiangbo, Tang, Jinhui, Qi, Guo-Jun, Liu, Wei, Yang, Jian

“…In this work, we aim to address the problem of human interaction recognition in videos by exploring the long-term inter-related dynamics among multiple…”
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EnAET: A Self-Trained Framework for Semi-Supervised and Supervised Learning With Ensemble Transformations by Wang, Xiao, Kihara, Daisuke, Luo, Jiebo, Qi, Guo-Jun

“…Deep neural networks have been successfully applied to many real-world applications. However, such successes rely heavily on large amounts of labeled data that…”
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Task Agnostic Meta-Learning for Few-Shot Learning by Jamal, Muhammad Abdullah, Qi, Guo-Jun

“…Meta-learning approaches have been proposed to tackle the few-shot learning problem. Typically, a meta-learner is trained on a variety of tasks in the hopes of…”
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CTCNet: A CNN-Transformer Cooperation Network for Face Image Super-Resolution by Gao, Guangwei, Xu, Zixiang, Li, Juncheng, Yang, Jian, Zeng, Tieyong, Qi, Guo-Jun

“…Recently, deep convolution neural networks (CNNs) steered face super-resolution methods have achieved great progress in restoring degraded facial details by…”
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Evaluation of oil Wells performance ranking in high water cut stage by Guo, Qi

“…In order to quantify the performance ranking of oil wells in high water cut reservoir, a quantitative evaluation method of oil wells is established from two…”
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Linear Subspace Ranking Hashing for Cross-Modal Retrieval by Li, Kai, Qi, Guo-Jun, Ye, Jun, Hua, Kien A.

“…Hashing has attracted a great deal of research in recent years due to its effectiveness for the retrieval and indexing of large-scale high-dimensional…”
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In Situ Formation of Nanofibers from Purpurin18-Peptide Conjugates and the Assembly Induced Retention Effect in Tumor Sites by Zhang, Di, Qi, Guo-Bin, Zhao, Ying-Xi, Qiao, Sheng-Lin, Yang, Chao, Wang, Hao

“…An assembly‐induced retention effect for enhanced tumor photoacoustic (PA) imaging and therapeutics is described. A responsive small‐molecule precursor is…”
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Learning Generalized Transformation Equivariant Representations Via AutoEncoding Transformations by Qi, Guo-Jun, Zhang, Liheng, Lin, Feng, Wang, Xiao

“…Transformation equivariant representations (TERs) aim to capture the intrinsic visual structures that equivary to various transformations by expanding the…”
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Knowledge-Guided Semantic Transfer Network for Few-Shot Image Recognition by Li, Zechao, Tang, Hao, Peng, Zhimao, Qi, Guo-Jun, Tang, Jinhui

“…Deep learning-based models have been shown to outperform human beings in many computer vision tasks with massive available labeled training data in learning…”
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Joint Intermodal and Intramodal Label Transfers for Extremely Rare or Unseen Classes by Guo-Jun Qi, Wei Liu, Aggarwal, Charu, Huang, Thomas

“…In this paper, we present a label transfer model from texts to images for image classification tasks. The problem of image classification is often much more…”
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277 : Transcriptome Analysis Revealed a Delayed and Attenuated Estrogen Response in IUA Patients by Guo, Qi

“…Background and Aims: Intrauterine adhesion (IUA) is characterized by the formation of scar tissue in the endometrium following a variety of insults such as…”
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Chiral Aldehyde Catalysis-Enabled Asymmetric α‑Functionalization of Activated Primary Amines by Wen, Wei, Guo, Qi-Xiang

“…Conspectus The development of catalytic activation modes provides a reliable and effective platform for designing new enantioselective reactions and preparing…”
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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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Tri-Clustered Tensor Completion for Social-Aware Image Tag Refinement by Jinhui Tang, Xiangbo Shu, Guo-Jun Qi, Zechao Li, Meng Wang, Shuicheng Yan, Jain, Ramesh

“…Social image tag refinement, which aims to improve tag quality by automatically completing the missing tags and rectifying the noise-corrupted ones, is an…”
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Host Materials Transformable in Tumor Microenvironment for Homing Theranostics by Yang, Pei‐Pei, Luo, Qiang, Qi, Guo‐Bin, Gao, Yu‐Juan, Li, Bing‐Nan, Zhang, Jing‐Ping, Wang, Lei, Wang, Hao

“…A pathology‐adaptive nanosystem, in which nest‐like hosts are built based on nanofibers that are transformed from i.v. injected nanoparticles under the acidic…”
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K-Shot Contrastive Learning of Visual Features with Multiple Instance Augmentations by Xu, Haohang, Xiong, Hongkai, Qi, Guo-Jun

“…In this paper, we propose the K-Shot Contrastive Learning (KSCL) of visual features by applying multiple augmentations to investigate the sample variations…”
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