b'Xiao Wang'

Performance Portable Back-projection Algorithms on CPUs: Agnostic Data Locality and Vectorization Optimizations

Computed Tomography (CT) is a key 3D imaging technology that fundamental...
04/27/2021 ∙ by Peng Chen, et al. ∙ 0 ∙ share

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Contrastive Learning with Stronger Augmentations

Representation learning has significantly been developed with the advanc...
04/15/2021 ∙ by Xiao Wang, et al. ∙ 0 ∙ share

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Lorentzian Graph Convolutional Networks

Graph convolutional networks (GCNs) have received considerable research ...
04/15/2021 ∙ by Yiding Zhang, et al. ∙ 0 ∙ share

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TextFlint: Unified Multilingual Robustness Evaluation Toolkit for Natural Language Processing

Various robustness evaluation methodologies from different perspectives ...
03/21/2021 ∙ by Tao Gui, et al. ∙ 20 ∙ share

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CaPC Learning: Confidential and Private Collaborative Learning

Machine learning benefits from large training datasets, which may not al...
02/09/2021 ∙ by Christopher A. Choquette-Choo, et al. ∙ 2 ∙ share

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Interpreting and Unifying Graph Neural Networks with An Optimization Framework

Graph Neural Networks (GNNs) have received considerable attention on gra...
01/28/2021 ∙ by Meiqi Zhu, et al. ∙ 0 ∙ share

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Beyond Low-frequency Information in Graph Convolutional Networks

Graph neural networks (GNNs) have been proven to be effective in various...
01/04/2021 ∙ by Deyu Bo, et al. ∙ 0 ∙ share

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High-Dimensional Spatial Quantile Function-on-Scalar Regression

This paper develops a novel spatial quantile function-on-scalar regressi...
12/19/2020 ∙ by Zhengwu Zhang, et al. ∙ 0 ∙ share

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yNet: a multi-input convolutional network for ultra-fast simulation of field evolvement

The capability of multi-input field-to-field regression, i.e. mapping th...
12/19/2020 ∙ by Zhuo Wang, et al. ∙ 0 ∙ share

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A Survey on Heterogeneous Graph Embedding: Methods, Techniques, Applications and Sources

Heterogeneous graphs (HGs) also known as heterogeneous information netwo...
11/30/2020 ∙ by Xiao Wang, et al. ∙ 18 ∙ share

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Cross-Lingual Document Retrieval with Smooth Learning

Cross-lingual document search is an information retrieval task in which ...
11/02/2020 ∙ by Jiapeng Liu, et al. ∙ 0 ∙ share

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Fast Convergence of Langevin Dynamics on Manifold: Geodesics meet Log-Sobolev

Sampling is a fundamental and arguably very important task with numerous...
10/11/2020 ∙ by Xiao Wang, et al. ∙ 6 ∙ share

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Dynamic Fusion based Federated Learning for COVID-19 Detection

Medical diagnostic image analysis (e.g., CT scan or X-Ray) using machine...
09/22/2020 ∙ by Weishan Zhang, et al. ∙ 0 ∙ share

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Domain Priori Knowledge based Integrated Solution Design for Internet of Services

Various types of services, such as web APIs, IoT services, O2O services,...
09/04/2020 ∙ by Hanchuan Xu, et al. ∙ 0 ∙ share

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Heterogeneous Graph Neural Network for Recommendation

The prosperous development of e-commerce has spawned diverse recommendat...
09/02/2020 ∙ by Jinghan Shi, et al. ∙ 0 ∙ share

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Decision-making at Unsignalized Intersection for Autonomous Vehicles: Left-turn Maneuver with Deep Reinforcement Learning

Decision-making module enables autonomous vehicles to reach appropriate ...
08/14/2020 ∙ by Teng Liu, et al. ∙ 0 ∙ share

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Towards Class Imbalance in Federated Learning

Federated learning (FL) is a promising approach for training decentraliz...
08/14/2020 ∙ by Lixu Wang, et al. ∙ 16 ∙ share

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Deep Reinforced Query Reformulation for Information Retrieval

Query reformulations have long been a key mechanism to alleviate the voc...
07/15/2020 ∙ by Xiao Wang, et al. ∙ 0 ∙ share

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SaADB: A Self-attention Guided ADB Network for Person Re-identification

Recently, Batch DropBlock network (BDB) has demonstrated its effectivene...
07/07/2020 ∙ by Bo Jiang, et al. ∙ 0 ∙ share

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AM-GCN: Adaptive Multi-channel Graph Convolutional Networks

Graph Convolutional Networks (GCNs) have gained great popularity in tack...
07/05/2020 ∙ by Xiao Wang, et al. ∙ 0 ∙ share

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Falsification-Based Robust Adversarial Reinforcement Learning

Reinforcement learning (RL) has achieved tremendous progress in solving ...
07/01/2020 ∙ by Xiao Wang, et al. ∙ 0 ∙ share

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Decorrelated Clustering with Data Selection Bias

Most of existing clustering algorithms are proposed without considering ...
06/29/2020 ∙ by Xiao Wang, et al. ∙ 0 ∙ share

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FMT:Fusing Multi-task Convolutional Neural Network for Person Search

Person search is to detect all persons and identify the query persons fr...
03/01/2020 ∙ by Sulan Zhai, et al. ∙ 0 ∙ share

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Convergence to Second-Order Stationarity for Non-negative Matrix Factorization: Provably and Concurrently

Non-negative matrix factorization (NMF) is a fundamental non-convex opti...
02/26/2020 ∙ by Ioannis Panageas, et al. ∙ 0 ∙ share

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AdvMS: A Multi-source Multi-cost Defense Against Adversarial Attacks

Designing effective defense against adversarial attacks is a crucial top...
02/19/2020 ∙ by Xiao Wang, et al. ∙ 15 ∙ share

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Block Switching: A Stochastic Approach for Deep Learning Security

Recent study of adversarial attacks has revealed the vulnerability of mo...
02/18/2020 ∙ by Xiao Wang, et al. ∙ 8 ∙ share

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Last iterate convergence in no-regret learning: constrained min-max optimization for convex-concave landscapes

In a recent series of papers it has been established that variants of Gr...
02/17/2020 ∙ by Qi Lei, et al. ∙ 10 ∙ share

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Stochastic Approximate Gradient Descent via the Langevin Algorithm

We introduce a novel and efficient algorithm called the stochastic appro...
02/13/2020 ∙ by Yixuan Qiu, et al. ∙ 0 ∙ share

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Structural Deep Clustering Network

Clustering is a fundamental task in data analysis. Recently, deep cluste...
02/05/2020 ∙ by Deyu Bo, et al. ∙ 0 ∙ share

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cmSalGAN: RGB-D Salient Object Detection with Cross-View Generative Adversarial Networks

Image salient object detection (SOD) is an active research topic in comp...
12/21/2019 ∙ by Bo Jiang, et al. ∙ 8 ∙ share

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Measuring Compositional Generalization: A Comprehensive Method on Realistic Data

State-of-the-art machine learning methods exhibit limited compositional ...
12/20/2019 ∙ by Daniel Keysers, et al. ∙ 25 ∙ share

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Depth-Width Trade-offs for ReLU Networks via Sharkovsky's Theorem

Understanding the representational power of Deep Neural Networks (DNNs) ...
12/09/2019 ∙ by Vaggos Chatziafratis, et al. ∙ 0 ∙ share

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Hyperbolic Graph Attention Network

Graph neural network (GNN) has shown superior performance in dealing wit...
12/06/2019 ∙ by Yiding Zhang, et al. ∙ 18 ∙ share

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Independence Promoted Graph Disentangled Networks

We address the problem of disentangled representation learning with inde...
11/26/2019 ∙ by Yanbei Liu, et al. ∙ 0 ∙ share

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Multi-Component Graph Convolutional Collaborative Filtering

The interactions of users and items in recommender system could be natur...
11/25/2019 ∙ by Xiao Wang, et al. ∙ 0 ∙ share

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EnAET: Self-Trained Ensemble AutoEncoding Transformations for Semi-Supervised Learning

Deep neural networks have been successfully applied to many real-world a...
11/21/2019 ∙ by Xiao Wang, et al. ∙ 0 ∙ share

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Eavesdrop the Composition Proportion of Training Labels in Federated Learning

Federated learning (FL) has recently emerged as a new form of collaborat...
10/14/2019 ∙ by Lixu Wang, et al. ∙ 12 ∙ share

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ISTHMUS: Secure, Scalable, Real-time and Robust Machine Learning Platform for Healthcare

In recent times, machine learning (ML) and artificial intelligence (AI) ...
09/29/2019 ∙ by Akshay Arora, et al. ∙ 54 ∙ share

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Deep Collaborative Filtering with Multi-Aspect Information in Heterogeneous Networks

Recently, recommender systems play a pivotal role in alleviating the pro...
09/14/2019 ∙ by Chuan Shi, et al. ∙ 0 ∙ share

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Temporal Network Embedding with Micro- and Macro-dynamics

Network embedding aims to embed nodes into a low-dimensional space, whil...
09/10/2019 ∙ by Yuanfu Lu, et al. ∙ 9 ∙ share

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Protecting Neural Networks with Hierarchical Random Switching: Towards Better Robustness-Accuracy Trade-off for Stochastic Defenses

Despite achieving remarkable success in various domains, recent studies ...
08/20/2019 ∙ by Xiao Wang, et al. ∙ 4 ∙ share

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Learning Target-oriented Dual Attention for Robust RGB-T Tracking

RGB-Thermal object tracking attempt to locate target object using comple...
08/12/2019 ∙ by Rui Yang, et al. ∙ 2 ∙ share

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Deep Learning Models to Predict Pediatric Asthma Emergency Department Visits

Pediatric asthma is the most prevalent chronic childhood illness, afflic...
07/25/2019 ∙ by Xiao Wang, et al. ∙ 0 ∙ share

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Dense Feature Aggregation and Pruning for RGBT Tracking

How to perform effective information fusion of different modalities is a...
07/24/2019 ∙ by Yabin Zhu, et al. ∙ 5 ∙ share

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Improved Hard Example Mining by Discovering Attribute-based Hard Person Identity

In this paper, we propose Hard Person Identity Mining (HPIM) that attemp...
05/06/2019 ∙ by Xiao Wang, et al. ∙ 0 ∙ share

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A Right-of-Way Based Strategy to Implement Safe and Efficient Driving at Non-Signalized Intersections for Automated Vehicles

Non-signalized intersection is a typical and common scenario for connect...
04/22/2019 ∙ by Yadong Xing, et al. ∙ 0 ∙ share

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Optimal Penalized Function-on-Function Regression under a Reproducing Kernel Hilbert Space Framework

Many scientific studies collect data where the response and predictor va...
02/10/2019 ∙ by Xiaoxiao Sun, et al. ∙ 0 ∙ share

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Pedestrian Attribute Recognition: A Survey

Recognizing pedestrian attributes is an important task in computer visio...
01/22/2019 ∙ by Xiao Wang, et al. ∙ 0 ∙ share

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Quality-Aware Multimodal Saliency Detection via Deep Reinforcement Learning

Incorporating various modes of information into the machine learning pro...
11/27/2018 ∙ by Xiao Wang, et al. ∙ 0 ∙ share

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Describe and Attend to Track: Learning Natural Language guided Structural Representation and Visual Attention for Object Tracking

The tracking-by-detection framework requires a set of positive and negat...
11/25/2018 ∙ by Xiao Wang, et al. ∙ 0 ∙ share

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Xiao Wang

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