Meng Wang

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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Deep Self-representative Concept Factorization Network for Representation Learning

In this paper, we investigate the unsupervised deep representation learn...
12/13/2019 ∙ by Yan Zhang, et al. ∙ 16 ∙ share

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Tensor Recovery from Noisy and Multi-Level Quantized Measurements

Higher-order tensors can represent scores in a rating system, frames in ...
12/05/2019 ∙ by Ren Wang, et al. ∙ 0 ∙ share

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Diversifying Inference Path Selection: Moving-Mobile-Network for Landmark Recognition

Deep convolutional neural networks have largely benefited computer visio...
12/01/2019 ∙ by Biao Qian, et al. ∙ 0 ∙ share

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Kernelized Multiview Subspace Analysis by Self-weighted Learning

With the popularity of multimedia technology, information is always repr...
11/23/2019 ∙ by Huibing Wang, et al. ∙ 0 ∙ share

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Discriminative Local Sparse Representation by Robust Adaptive Dictionary Pair Learning

In this paper, we propose a structured Robust Adaptive Dic-tionary Pair ...
11/20/2019 ∙ by Yulin Sun, et al. ∙ 10 ∙ share

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Robust Triple-Matrix-Recovery-Based Auto-Weighted Label Propagation for Classification

The graph-based semi-supervised label propagation algorithm has delivere...
11/20/2019 ∙ by Huan Zhang, et al. ∙ 20 ∙ share

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In Vitro Fertilization (IVF) Cumulative Pregnancy Rate Prediction from Basic Patient Characteristics

Tens of millions of women suffer from infertility worldwide each year. I...
11/10/2019 ∙ by Bo Zhang, et al. ∙ 0 ∙ share

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Personality-Aware Probabilistic Map for Trajectory Prediction of Pedestrians

We present a novel trajectory prediction algorithm for pedestrians based...
11/01/2019 ∙ by Chaochao Li, et al. ∙ 0 ∙ share

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Structured Query Construction via Knowledge Graph Embedding

In order to facilitate the accesses of general users to knowledge graphs...
09/06/2019 ∙ by Ruijie Wang, et al. ∙ 3 ∙ share

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Flexible Auto-weighted Local-coordinate Concept Factorization: A Robust Framework for Unsupervised Clustering

Concept Factorization (CF) and its variants may produce inaccurate repre...
09/02/2019 ∙ by Zhao Zhang, et al. ∙ 11 ∙ share

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A Coarse-to-Fine Multi-stream Hybrid Deraining Network for Single Image Deraining

Single image deraining task is still a very challenging task due to its ...
08/28/2019 ∙ by Yanyan Wei, et al. ∙ 9 ∙ share

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DRD-Net: Detail-recovery Image Deraining via Context Aggregation Networks

Image deraining is a fundamental, yet not well-solved problem in compute...
08/27/2019 ∙ by Sen Deng, et al. ∙ 7 ∙ share

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Learning Structured Twin-Incoherent Twin-Projective Latent Dictionary Pairs for Classification

In this paper, we extend the popular dictionary pair learning (DPL) into...
08/21/2019 ∙ by Zhao Zhang, et al. ∙ 16 ∙ share

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Robust Subspace Discovery by Block-diagonal Adaptive Locality-constrained Representation

We propose a novel and unsupervised representation learning model, i.e.,...
08/04/2019 ∙ by Zhao Zhang, et al. ∙ 3 ∙ share

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Light Field Saliency Detection with Deep Convolutional Networks

CNN-based methods have been proven to work well for saliency detection o...
06/19/2019 ∙ by Jun Zhang, et al. ∙ 5 ∙ share

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Joint Subspace Recovery and Enhanced Locality Driven Robust Flexible Discriminative Dictionary Learning

We propose a joint subspace recovery and enhanced locality based robust ...
06/11/2019 ∙ by Zhao Zhang, et al. ∙ 5 ∙ share

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Kernel-Induced Label Propagation by Mapping for Semi-Supervised Classification

Kernel methods have been successfully applied to the areas of pattern re...
05/29/2019 ∙ by Zhao Zhang, et al. ∙ 0 ∙ share

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Joint Label Prediction based Semi-Supervised Adaptive Concept Factorization for Robust Data Representation

Constrained Concept Factorization (CCF) yields the enhanced representati...
05/25/2019 ∙ by Zhao Zhang, et al. ∙ 0 ∙ share

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Robust Unsupervised Flexible Auto-weighted Local-Coordinate Concept Factorization for Image Clustering

We investigate the high-dimensional data clustering problem by proposing...
05/25/2019 ∙ by Zhao Zhang, et al. ∙ 0 ∙ share

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Neural Graph Collaborative Filtering

Learning vector representations (aka. embeddings) of users and items lie...
05/20/2019 ∙ by Xiang Wang, et al. ∙ 0 ∙ share

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DeepIlluminance: Contextual Illuminance Estimation via Deep Neural Networks

Computational color constancy refers to the estimation of the scene illu...
05/12/2019 ∙ by Jun Zhang, et al. ∙ 0 ∙ share

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A Neural Influence Diffusion Model for Social Recommendation

Precise user and item embedding learning is the key to building a succes...
04/20/2019 ∙ by Le Wu, et al. ∙ 0 ∙ share

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Meng Wang

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