b'Xiao Wang'

research

∙ 05/20/2022

Robust Sensible Adversarial Learning of Deep Neural Networks for Image Classification

The idea of robustness is central and critical to modern statistical ana...

Jungeum Kim, et al. ∙

research

∙ 05/19/2022

Beyond Greedy Search: Tracking by Multi-Agent Reinforcement Learning-based Beam Search

Existing trackers usually select a location or proposal with the maximum...

Xiao Wang, et al. ∙

research

∙ 05/13/2022

Provably Safe Reinforcement Learning: A Theoretical and Experimental Comparison

Ensuring safety of reinforcement learning (RL) algorithms is crucial for...

Hanna Krasowski, et al. ∙

research

∙ 05/12/2022

Image Gradient Decomposition for Parallel and Memory-Efficient Ptychographic Reconstruction

Ptychography is a popular microscopic imaging modality for many scientif...

Xiao Wang, et al. ∙

research

∙ 04/25/2022

Accelerated Multiplicative Weights Update Avoids Saddle Points almost always

We consider non-convex optimization problems with constraint that is a p...

Yi Feng, et al. ∙

research

∙ 04/09/2022

MINER: Improving Out-of-Vocabulary Named Entity Recognition from an Information Theoretic Perspective

NER model has achieved promising performance on standard NER benchmarks....

Xiao Wang, et al. ∙

research

∙ 04/05/2022

Persistent Kernels for Iterative Memory-bound GPU Applications

Iterative memory-bound solvers commonly occur in HPC codes. Typical GPU ...

Lingqi Zhang, et al. ∙

research

∙ 04/01/2022

On the Importance of Asymmetry for Siamese Representation Learning

Many recent self-supervised frameworks for visual representation learnin...

Xiao Wang, et al. ∙

research

∙ 03/27/2022

CaCo: Both Positive and Negative Samples are Directly Learnable via Cooperative-adversarial Contrastive Learning

As a representative self-supervised method, contrastive learning has ach...

Xiao Wang, et al. ∙

research

∙ 03/27/2022

HELoC: Hierarchical Contrastive Learning of Source Code Representation

Abstract syntax trees (ASTs) play a crucial role in source code represen...

Xiao Wang, et al. ∙

research

∙ 03/22/2022

Federated Class-Incremental Learning

Federated learning (FL) has attracted growing attention via data-private...

Jiahua Dong, et al. ∙

research

∙ 03/18/2022

SHREC 2021: Classification in cryo-electron tomograms

Cryo-electron tomography (cryo-ET) is an imaging technique that allows t...

Ilja Gubins, et al. ∙

research

∙ 03/07/2022

Unpaired Image Captioning by Image-level Weakly-Supervised Visual Concept Recognition

The goal of unpaired image captioning (UIC) is to describe images withou...

Peipei Zhu, et al. ∙

research

∙ 02/28/2022

VaultDB: A Real-World Pilot of Secure Multi-Party Computation within a Clinical Research Network

Electronic health records represent a rich and growing source of clinica...

Jennie Rogers, et al. ∙

research

∙ 02/28/2022

Computational Experiments: Past, Present and Future

Powered by advanced information technology, more and more complex system...

Xiao Xue, et al. ∙

research

∙ 02/18/2022

Space4HGNN: A Novel, Modularized and Reproducible Platform to Evaluate Heterogeneous Graph Neural Network

Heterogeneous Graph Neural Network (HGNN) has been successfully employed...

Tianyu Zhao, et al. ∙

research

∙ 02/11/2022

Tiny Object Tracking: A Large-scale Dataset and A Baseline

Tiny objects, frequently appearing in practical applications, have weak ...

Yabin Zhu, et al. ∙

research

∙ 01/27/2022

Confidence May Cheat: Self-Training on Graph Neural Networks under Distribution Shift

Graph Convolutional Networks (GCNs) have recently attracted vast interes...

Hongrui Liu, et al. ∙

research

∙ 01/25/2022

Event-based Video Reconstruction via Potential-assisted Spiking Neural Network

Neuromorphic vision sensor is a new bio-inspired imaging paradigm that r...

Lin Zhu, et al. ∙

research

∙ 01/19/2022

Debiased Graph Neural Networks with Agnostic Label Selection Bias

Most existing Graph Neural Networks (GNNs) are proposed without consider...

Shaohua Fan, et al. ∙

research

∙ 01/14/2022

Compact Graph Structure Learning via Mutual Information Compression

Graph Structure Learning (GSL) recently has attracted considerable atten...

Nian Liu, et al. ∙

research

∙ 12/02/2021

MTFNet: Mutual-Transformer Fusion Network for RGB-D Salient Object Detection

Salient object detection (SOD) on RGB-D images is an active problem in c...

Xixi Wang, et al. ∙

research

∙ 11/20/2021

Generalizing Graph Neural Networks on Out-Of-Distribution Graphs

Graph Neural Networks (GNNs) are proposed without considering the agnost...

Shaohua Fan, et al. ∙

research

∙ 11/15/2021

LiT: Zero-Shot Transfer with Locked-image Text Tuning

This paper presents contrastive-tuning, a simple method employing contra...

Xiaohua Zhai, et al. ∙

research

∙ 11/04/2021

A QoE Model in Point Cloud Video Streaming

Point cloud video has been widely used by augmented reality (AR) and vir...

Jie Li, et al. ∙

research

∙ 09/30/2021

CoSeg: Cognitively Inspired Unsupervised Generic Event Segmentation

Some cognitive research has discovered that humans accomplish event segm...

Xiao Wang, et al. ∙

research

∙ 09/30/2021

Secure Machine Learning over Relational Data

A closer integration of machine learning and relational databases has ga...

Qiyao Luo, et al. ∙

research

∙ 09/29/2021

Be Confident! Towards Trustworthy Graph Neural Networks via Confidence Calibration

Despite Graph Neural Networks (GNNs) have achieved remarkable accuracy, ...

Xiao Wang, et al. ∙

research

∙ 09/13/2021

Inferential Wasserstein Generative Adversarial Networks

Generative Adversarial Networks (GANs) have been impactful on many probl...

Yao Chen, et al. ∙

research

∙ 09/08/2021

Constants of Motion: The Antidote to Chaos in Optimization and Game Dynamics

Several recent works in online optimization and game dynamics have estab...

Georgios Piliouras, et al. ∙

research

∙ 07/24/2021

Semantic-guided Pixel Sampling for Cloth-Changing Person Re-identification

Cloth-changing person re-identification (re-ID) is a new rising research...

Xiujun Shu, et al. ∙

research

∙ 06/21/2021

Pseudo-Relevance Feedback for Multiple Representation Dense Retrieval

Pseudo-relevance feedback mechanisms, from Rocchio to the relevance mode...

Xiao Wang, et al. ∙

research

∙ 06/13/2021

Non-Transferable Learning: A New Approach for Model Verification and Authorization

As Artificial Intelligence as a Service gains popularity, protecting wel...

Lixu Wang, et al. ∙

research

∙ 05/31/2021

Large-Scale Spatio-Temporal Person Re-identification: Algorithm and Benchmark

Person re-identification (re-ID) in the scenario with large spatial and ...

Xiujun Shu, et al. ∙

research

∙ 05/19/2021

Self-supervised Heterogeneous Graph Neural Network with Co-contrastive Learning

Heterogeneous graph neural networks (HGNNs) as an emerging technique hav...

Xiao Wang, et al. ∙

research

∙ 05/16/2021

Substitutional Neural Image Compression

We describe Substitutional Neural Image Compression (SNIC), a general ap...

Xiao Wang, et al. ∙

research

∙ 05/14/2021

High-Robustness, Low-Transferability Fingerprinting of Neural Networks

This paper proposes Characteristic Examples for effectively fingerprinti...

Siyue Wang, et al. ∙

research

∙ 04/27/2021

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

Computed Tomography (CT) is a key 3D imaging technology that fundamental...

Peng Chen, et al. ∙

research

∙ 04/15/2021

Contrastive Learning with Stronger Augmentations

Representation learning has significantly been developed with the advanc...

Xiao Wang, et al. ∙

research

∙ 04/15/2021

Lorentzian Graph Convolutional Networks

Graph convolutional networks (GCNs) have received considerable research ...

Yiding Zhang, et al. ∙

research

∙ 03/21/2021

TextFlint: Unified Multilingual Robustness Evaluation Toolkit for Natural Language Processing

Various robustness evaluation methodologies from different perspectives ...

Tao Gui, et al. ∙

research

∙ 02/09/2021

CaPC Learning: Confidential and Private Collaborative Learning

Machine learning benefits from large training datasets, which may not al...

Christopher A. Choquette-Choo, et al. ∙

research

∙ 01/28/2021

Interpreting and Unifying Graph Neural Networks with An Optimization Framework

Graph Neural Networks (GNNs) have received considerable attention on gra...

Meiqi Zhu, et al. ∙

research

∙ 01/04/2021

Beyond Low-frequency Information in Graph Convolutional Networks

Graph neural networks (GNNs) have been proven to be effective in various...

Deyu Bo, et al. ∙

research

∙ 12/19/2020

High-Dimensional Spatial Quantile Function-on-Scalar Regression

This paper develops a novel spatial quantile function-on-scalar regressi...

Zhengwu Zhang, et al. ∙

research

∙ 12/19/2020

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...

Zhuo Wang, et al. ∙

research

∙ 11/30/2020

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

Heterogeneous graphs (HGs) also known as heterogeneous information netwo...

Xiao Wang, et al. ∙

research

∙ 11/02/2020

Cross-Lingual Document Retrieval with Smooth Learning

Cross-lingual document search is an information retrieval task in which ...

Jiapeng Liu, et al. ∙

research

∙ 10/11/2020

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

Sampling is a fundamental and arguably very important task with numerous...

Xiao Wang, et al. ∙

research

∙ 09/22/2020

Dynamic Fusion based Federated Learning for COVID-19 Detection

Medical diagnostic image analysis (e.g., CT scan or X-Ray) using machine...

Weishan Zhang, et al. ∙

Xiao Wang

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