b'Meng Wang'

MCGNet: Partial Multi-view Few-shot Learning via Meta-alignment and Context Gated-aggregation

In this paper, we propose a new challenging task named as partial multi-...
05/05/2021 ∙ by Yuan Zhou, et al. ∙ 6 ∙ share

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Spinner: Automated Dynamic Command Subsystem Perturbation

Injection attacks have been a major threat to web applications. Despite ...
05/02/2021 ∙ by Meng Wang, et al. ∙ 0 ∙ share

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A Survey on Neural Recommendation: From Collaborative Filtering to Content and Context Enriched Recommendation

Influenced by the stunning success of deep learning in computer vision a...
04/27/2021 ∙ by Le Wu, et al. ∙ 0 ∙ share

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Quaternion Factorization Machines: A Lightweight Solution to Intricate Feature Interaction Modelling

As a well-established approach, factorization machine (FM) is capable of...
04/05/2021 ∙ by Tong Chen, et al. ∙ 0 ∙ share

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Positive Sample Propagation along the Audio-Visual Event Line

Visual and audio signals often coexist in natural environments, forming ...
04/01/2021 ∙ by Jinxing Zhou, et al. ∙ 0 ∙ share

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Revisiting Deep Local Descriptor for Improved Few-Shot Classification

Few-shot classification studies the problem of quickly adapting a deep l...
03/30/2021 ∙ by Jun He, et al. ∙ 0 ∙ share

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Spectral Top-Down Recovery of Latent Tree Models

Modeling the distribution of high dimensional data by a latent tree grap...
02/26/2021 ∙ by Yariv Aizenbud, et al. ∙ 0 ∙ share

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On Fast Adversarial Robustness Adaptation in Model-Agnostic Meta-Learning

Model-agnostic meta-learning (MAML) has emerged as one of the most succe...
02/20/2021 ∙ by Ren Wang, et al. ∙ 19 ∙ share

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Learning Fair Representations for Bipartite Graph based Recommendation

As a key application of artificial intelligence, recommender systems are...
02/18/2021 ∙ by Le Wu, et al. ∙ 0 ∙ share

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Graphonomy: Universal Image Parsing via Graph Reasoning and Transfer

Prior highly-tuned image parsing models are usually studied in a certain...
01/26/2021 ∙ by Liang Lin, et al. ∙ 12 ∙ share

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Deep Adversarial Inconsistent Cognitive Sampling for Multi-view Progressive Subspace Clustering

Deep multi-view clustering methods have achieved remarkable performance....
01/11/2021 ∙ by Renhao Sun, et al. ∙ 0 ∙ share

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Sub-sampled Cross-component Prediction for Emerging Video Coding Standards

Cross-component linear model (CCLM) prediction has been repeatedly prove...
12/30/2020 ∙ by Junru Li, et al. ∙ 0 ∙ share

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R^2-Net: Relation of Relation Learning Network for Sentence Semantic Matching

Sentence semantic matching is one of the fundamental tasks in natural la...
12/16/2020 ∙ by Kun Zhang, et al. ∙ 0 ∙ share

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Positive-Congruent Training: Towards Regression-Free Model Updates

Reducing inconsistencies in the behavior of different versions of an AI ...
11/18/2020 ∙ by Sijie Yan, et al. ∙ 10 ∙ share

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LIAF-Net: Leaky Integrate and Analog Fire Network for Lightweight and Efficient Spatiotemporal Information Processing

Spiking neural networks (SNNs) based on Leaky Integrate and Fire (LIF) m...
11/12/2020 ∙ by Zhenzhi Wu, et al. ∙ 0 ∙ share

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Bias and Debias in Recommender System: A Survey and Future Directions

While recent years have witnessed a rapid growth of research papers on r...
10/07/2020 ∙ by Jiawei Chen, et al. ∙ 0 ∙ share

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Online Action Detection in Streaming Videos with Time Buffers

We formulate the problem of online temporal action detection in live str...
10/06/2020 ∙ by Bowen Zhang, et al. ∙ 6 ∙ share

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Revealing Secrets in SPARQL Session Level

Based on Semantic Web technologies, knowledge graphs help users to disco...
09/13/2020 ∙ by Xinyue Zhang, et al. ∙ 1 ∙ share

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Dual-constrained Deep Semi-Supervised Coupled Factorization Network with Enriched Prior

Nonnegative matrix factorization is usually powerful for learning the "s...
09/08/2020 ∙ by Yan Zhang, et al. ∙ 8 ∙ share

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High Efficiency Rate Control for Versatile Video Coding Based on Composite Cauchy Distribution

In this work, we propose a novel rate control algorithm for Versatile Vi...
08/26/2020 ∙ by Yunhao Mao, et al. ∙ 0 ∙ share

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Low Complexity Trellis-Coded Quantization in Versatile Video Coding

The forthcoming Versatile Video Coding (VVC) standard adopts the trellis...
08/26/2020 ∙ by Meng Wang, et al. ∙ 0 ∙ share

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A Survey on Large-scale Machine Learning

Machine learning can provide deep insights into data, allowing machines ...
08/10/2020 ∙ by Meng Wang, et al. ∙ 0 ∙ share

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Practical Detection of Trojan Neural Networks: Data-Limited and Data-Free Cases

When the training data are maliciously tampered, the predictions of the ...
07/31/2020 ∙ by Ren Wang, et al. ∙ 11 ∙ share

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Feature Pyramid Transformer

Feature interactions across space and scales underpin modern visual reco...
07/18/2020 ∙ by Dong Zhang, et al. ∙ 18 ∙ share

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Learning to Discretely Compose Reasoning Module Networks for Video Captioning

Generating natural language descriptions for videos, i.e., video caption...
07/17/2020 ∙ by Ganchao Tan, et al. ∙ 9 ∙ share

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Tree-Augmented Cross-Modal Encoding for Complex-Query Video Retrieval

The rapid growth of user-generated videos on the Internet has intensifie...
07/06/2020 ∙ by Xun Yang, et al. ∙ 0 ∙ share

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Fast Learning of Graph Neural Networks with Guaranteed Generalizability: One-hidden-layer Case

Although graph neural networks (GNNs) have made great progress recently ...
06/25/2020 ∙ by Shuai Zhang, et al. ∙ 23 ∙ share

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Recurrent Relational Memory Network for Unsupervised Image Captioning

Unsupervised image captioning with no annotations is an emerging challen...
06/24/2020 ∙ by Dan Guo, et al. ∙ 16 ∙ share

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Enhancing Factorization Machines with Generalized Metric Learning

Factorization Machines (FMs) are effective in incorporating side informa...
06/20/2020 ∙ by Yangyang Guo, et al. ∙ 0 ∙ share

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Unsupervised Vehicle Re-identification with Progressive Adaptation

Vehicle re-identification (reID) aims at identifying vehicles across dif...
06/20/2020 ∙ by Jinjia Peng, et al. ∙ 0 ∙ share

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An Edge Information and Mask Shrinking Based Image Inpainting Approach

In the image inpainting task, the ability to repair both high-frequency ...
06/11/2020 ∙ by Huali Xu, et al. ∙ 0 ∙ share

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How to Retrain Recommender System? A Sequential Meta-Learning Method

Practical recommender systems need be periodically retrained to refresh ...
05/27/2020 ∙ by Yang Zhang, et al. ∙ 0 ∙ share

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Joint Item Recommendation and Attribute Inference: An Adaptive Graph Convolutional Network Approach

In many recommender systems, users and items are associated with attribu...
05/25/2020 ∙ by Le Wu, et al. ∙ 0 ∙ share

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Learning to Transfer Graph Embeddings for Inductive Graph based Recommendation

With the increasing availability of videos, how to edit them and present...
05/24/2020 ∙ by Le Wu, et al. ∙ 0 ∙ share

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Try This Instead: Personalized and Interpretable Substitute Recommendation

As a fundamental yet significant process in personalized recommendation,...
05/19/2020 ∙ by Tong Chen, et al. ∙ 0 ∙ share

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Deep Multimodal Neural Architecture Search

Designing effective neural networks is fundamentally important in deep m...
04/25/2020 ∙ by Zhou Yu, et al. ∙ 17 ∙ share

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Person Re-Identification via Active Hard Sample Mining

Annotating a large-scale image dataset is very tedious, yet necessary fo...
04/10/2020 ∙ by Xin Xu, et al. ∙ 10 ∙ share

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Iterative Context-Aware Graph Inference for Visual Dialog

Visual dialog is a challenging task that requires the comprehension of t...
04/05/2020 ∙ by Dan Guo, et al. ∙ 3 ∙ share

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More Grounded Image Captioning by Distilling Image-Text Matching Model

Visual attention not only improves the performance of image captioners, ...
04/01/2020 ∙ by Yuanen Zhou, et al. ∙ 24 ∙ share

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Reinforced Negative Sampling over Knowledge Graph for Recommendation

Properly handling missing data is a fundamental challenge in recommendat...
03/12/2020 ∙ by Xiang Wang, et al. ∙ 0 ∙ share

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Overview of the CCKS 2019 Knowledge Graph Evaluation Track: Entity, Relation, Event and QA

Knowledge graph models world knowledge as concepts, entities, and the re...
03/09/2020 ∙ by Xianpei Han, et al. ∙ 0 ∙ share

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RCC-Dual-GAN: An Efficient Approach for Outlier Detection with Few Identified Anomalies

Outlier detection is an important task in data mining and many technolog...
03/07/2020 ∙ by Zhe Li, et al. ∙ 11 ∙ share

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LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation

Graph Convolution Network (GCN) has become new state-of-the-art for coll...
02/06/2020 ∙ by Xiangnan He, et al. ∙ 0 ∙ share

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Revisiting Graph based Collaborative Filtering: A Linear Residual Graph Convolutional Network Approach

Graph Convolutional Networks (GCNs) are state-of-the-art graph based rep...
01/28/2020 ∙ by Lei Chen, et al. ∙ 8 ∙ share

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DiffNet++: A Neural Influence and Interest Diffusion Network for Social Recommendation

Social recommendation has emerged to leverage social connections among u...
01/15/2020 ∙ by Le Wu, et al. ∙ 0 ∙ share

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Learning Hybrid Representation by Robust Dictionary Learning in Factorized Compressed Space

In this paper, we investigate the robust dictionary learning (DL) to dis...
12/26/2019 ∙ by Jiahuan Ren, et al. ∙ 9 ∙ share

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Fast DenseNet: Towards Efficient and Accurate Text Recognition with Fast Dense Networks

Convolutional Recurrent Neural Network (CRNN) is a popular network for r...
12/15/2019 ∙ by Zhao Zhang, et al. ∙ 0 ∙ share

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DerainCycleGAN: An Attention-guided Unsupervised Benchmark for Single Image Deraining and Rainmaking

Single image deraining (SID) is an important and challenging topic in em...
12/15/2019 ∙ by Yanyan Wei, et al. ∙ 16 ∙ share

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Multilayer Collaborative Low-Rank Coding Network for Robust Deep Subspace Discovery

For subspace recovery, most existing low-rank representation (LRR) model...
12/13/2019 ∙ by Xianzhen Li, et al. ∙ 0 ∙ share

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Fully-Convolutional Intensive Feature Flow Neural Network for Text Recognition

The Deep Convolutional Neural Networks (CNNs) have obtained a great succ...
12/13/2019 ∙ by Zhao Zhang, et al. ∙ 5 ∙ share

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Meng Wang

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