b'Bo Zhang'

OPA: Object Placement Assessment Dataset

Image composition aims to generate realistic composite image by insertin...
07/05/2021 ∙ by Liu Liu, et al. ∙ 0 ∙ share

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VeriDL: Integrity Verification of Outsourced Deep Learning Services (Extended Version)

Deep neural networks (DNNs) are prominent due to their superior performa...
07/01/2021 ∙ by Boxiang Dong, et al. ∙ 0 ∙ share

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Modified sampling method with near field measurements

This paper investigates the inverse scattering problems using sampling m...
07/01/2021 ∙ by Xiaodong Liu, et al. ∙ 0 ∙ share

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Understanding Adversarial Attacks on Observations in Deep Reinforcement Learning

Recent works demonstrate that deep reinforcement learning (DRL) models a...
06/30/2021 ∙ by You Qiaoben, et al. ∙ 0 ∙ share

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Making Images Real Again: A Comprehensive Survey on Deep Image Composition

As a common image editing operation, image composition aims to cut the f...
06/28/2021 ∙ by Li Niu, et al. ∙ 0 ∙ share

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Data completion algorithms and their applications in inverse acoustic scattering with limited-aperture backscattering data

We introduce two data completion algorithms for the limited-aperture pro...
06/21/2021 ∙ by Fangfang Dou, et al. ∙ 0 ∙ share

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Stability and Generalization of Bilevel Programming in Hyperparameter Optimization

Recently, the (gradient-based) bilevel programming framework is widely u...
06/08/2021 ∙ by Fan Bao, et al. ∙ 0 ∙ share

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Robust Mutual Learning for Semi-supervised Semantic Segmentation

Recent semi-supervised learning (SSL) methods are commonly based on pseu...
06/01/2021 ∙ by Pan Zhang, et al. ∙ 14 ∙ share

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Twins: Revisiting Spatial Attention Design in Vision Transformers

Very recently, a variety of vision transformer architectures for dense p...
04/28/2021 ∙ by Xiangxiang Chu, et al. ∙ 0 ∙ share

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Microshift: An Efficient Image Compression Algorithm for Hardware

In this paper, we propose a lossy image compression algorithm called Mic...
04/20/2021 ∙ by Bo Zhang, et al. ∙ 0 ∙ share

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Let's See Clearly: Contaminant Artifact Removal for Moving Cameras

Contaminants such as dust, dirt and moisture adhering to the camera lens...
04/18/2021 ∙ by Xiaoyu Li, et al. ∙ 1 ∙ share

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Estimating and Improving Dynamic Treatment Regimes With a Time-Varying Instrumental Variable

Estimating dynamic treatment regimes (DTRs) from retrospective observati...
04/15/2021 ∙ by Shuxiao Chen, et al. ∙ 0 ∙ share

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Meaningful Adversarial Stickers for Face Recognition in Physical World

Face recognition (FR) systems have been widely applied in safety-critica...
04/14/2021 ∙ by Ying Guo, et al. ∙ 0 ∙ share

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Image Composition Assessment with Saliency-augmented Multi-pattern Pooling

Image composition assessment is crucial in aesthetic assessment, which a...
04/07/2021 ∙ by Bo Zhang, et al. ∙ 2 ∙ share

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MagDR: Mask-guided Detection and Reconstruction for Defending Deepfakes

Deepfakes raised serious concerns on the authenticity of visual contents...
03/26/2021 ∙ by Zhikai Chen, et al. ∙ 0 ∙ share

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Style-based Point Generator with Adversarial Rendering for Point Cloud Completion

In this paper, we proposed a novel Style-based Point Generator with Adve...
03/03/2021 ∙ by Chulin Xie, et al. ∙ 6 ∙ share

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A Minimax Probability Machine for Non-Decomposable Performance Measures

Imbalanced classification tasks are widespread in many real-world applic...
02/28/2021 ∙ by Junru Luo, et al. ∙ 0 ∙ share

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Learning with Smooth Hinge Losses

Due to the non-smoothness of the Hinge loss in SVM, it is difficult to o...
02/27/2021 ∙ by Junru Luo, et al. ∙ 0 ∙ share

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Do We Really Need Explicit Position Encodings for Vision Transformers?

Almost all visual transformers such as ViT or DeiT rely on predefined po...
02/22/2021 ∙ by Xiangxiang Chu, et al. ∙ 0 ∙ share

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Improving Accuracy and Diversity in Matching of Recommendation with Diversified Preference Network

Recently, real-world recommendation systems need to deal with millions o...
02/07/2021 ∙ by Ruobing Xie, et al. ∙ 0 ∙ share

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Convergence of the uniaxial PML method for time-domain electromagnetic scattering problems

In this paper, we propose and study the uniaxial perfectly matched layer...
02/03/2021 ∙ by Changkun Wei, et al. ∙ 0 ∙ share

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Time domain analysis for electromagnetic scattering by an elastic obstacle in a two-layered medium

In this paper, we consider the scattering of a time-dependent electromag...
02/03/2021 ∙ by Changkun Wei, et al. ∙ 0 ∙ share

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Efficient Compressed Sensing Based Image Coding by Using Gray Transformation

In recent years, compressed sensing (CS) based image coding has become a...
02/02/2021 ∙ by Bo Zhang, et al. ∙ 0 ∙ share

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Prototypical Pseudo Label Denoising and Target Structure Learning for Domain Adaptive Semantic Segmentation

Self-training is a competitive approach in domain adaptive segmentation,...
01/26/2021 ∙ by Pan Zhang, et al. ∙ 8 ∙ share

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Factor Modelling for Clustering High-dimensional Time Series

We propose a new unsupervised learning method for clustering a large num...
01/06/2021 ∙ by Bo Zhang, et al. ∙ 0 ∙ share

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Statistical matching and subclassification with a continuous dose: characterization, algorithms, and inference

Subclassification and matching are often used to adjust for observed cov...
12/13/2020 ∙ by Bo Zhang, et al. ∙ 0 ∙ share

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Full-Resolution Correspondence Learning for Image Translation

We present the full-resolution correspondence learning for cross-domain ...
12/03/2020 ∙ by Xingran Zhou, et al. ∙ 7 ∙ share

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Social Distancing and COVID-19: Randomization Inference for a Structured Dose-Response Relationship

Social distancing is widely acknowledged as an effective public health p...
11/12/2020 ∙ by Bo Zhang, et al. ∙ 0 ∙ share

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Variational (Gradient) Estimate of the Score Function in Energy-based Latent Variable Models

The learning and evaluation of energy-based latent variable models (EBLV...
10/16/2020 ∙ by Fan Bao, et al. ∙ 0 ∙ share

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Bi-level Score Matching for Learning Energy-based Latent Variable Models

Score matching (SM) provides a compelling approach to learn energy-based...
10/15/2020 ∙ by Fan Bao, et al. ∙ 0 ∙ share

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Old Photo Restoration via Deep Latent Space Translation

We propose to restore old photos that suffer from severe degradation thr...
09/14/2020 ∙ by Ziyu Wan, et al. ∙ 55 ∙ share

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AutoKWS: Keyword Spotting with Differentiable Architecture Search

Smart audio devices are gated by an always-on lightweight keyword spotti...
09/08/2020 ∙ by Bo Zhang, et al. ∙ 0 ∙ share

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A Simple and General Graph Neural Network with Stochastic Message Passing

Graph neural networks (GNNs) are emerging machine learning models on gra...
09/05/2020 ∙ by Ziwei Zhang, et al. ∙ 0 ∙ share

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DARTS-: Robustly Stepping out of Performance Collapse Without Indicators

Despite the fast development of differentiable architecture search (DART...
09/02/2020 ∙ by Xiangxiang Chu, et al. ∙ 0 ∙ share

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Deep Sketch-guided Cartoon Video Synthesis

We propose a novel framework to produce cartoon videos by fetching the c...
08/10/2020 ∙ by Xiaoyu Li, et al. ∙ 0 ∙ share

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Training Interpretable Convolutional Neural Networks by Differentiating Class-specific Filters

Convolutional neural networks (CNNs) have been successfully used in a ra...
07/16/2020 ∙ by Haoyu Liang, et al. ∙ 0 ∙ share

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Bridging preference-based instrumental variable studies and cluster-randomized encouragement experiments: study design, noncompliance, and average cluster effect ratio

Instrumental variable methods are widely used in medical and social scie...
07/14/2020 ∙ by Bo Zhang, et al. ∙ 0 ∙ share

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Noisy Differentiable Architecture Search

Simplicity is the ultimate sophistication. Differentiable Architecture S...
05/07/2020 ∙ by Xiangxiang Chu, et al. ∙ 0 ∙ share

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Bringing Old Photos Back to Life

We propose to restore old photos that suffer from severe degradation thr...
04/20/2020 ∙ by Ziyu Wan, et al. ∙ 23 ∙ share

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Cross-domain Correspondence Learning for Exemplar-based Image Translation

We present a general framework for exemplar-based image translation, whi...
04/12/2020 ∙ by Pan Zhang, et al. ∙ 1 ∙ share

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Automatic, Dynamic, and Nearly Optimal Learning Rate Specification by Local Quadratic Approximation

In deep learning tasks, the learning rate determines the update step siz...
04/07/2020 ∙ by Yingqiu Zhu, et al. ∙ 3 ∙ share

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Perceptual Image Super-Resolution with Progressive Adversarial Network

Single Image Super-Resolution (SISR) aims to improve resolution of small...
03/08/2020 ∙ by Lone Wong, et al. ∙ 0 ∙ share

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Performance Analysis and Optimization in Privacy-Preserving Federated Learning

As a means of decentralized machine learning, federated learning (FL) ha...
02/29/2020 ∙ by Kang Wei, et al. ∙ 0 ∙ share

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Selecting and ranking individualized treatment rules with unmeasured confounding

It is common to compare individualized treatment rules based on the valu...
02/24/2020 ∙ by Bo Zhang, et al. ∙ 0 ∙ share

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Beyond Clicks: Modeling Multi-Relational Item Graph for Session-Based Target Behavior Prediction

Session-based target behavior prediction aims to predict the next item t...
02/19/2020 ∙ by Wen Wang, et al. ∙ 0 ∙ share

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A Wasserstein Minimum Velocity Approach to Learning Unnormalized Models

Score matching provides an effective approach to learning flexible unnor...
02/18/2020 ∙ by Ziyu Wang, et al. ∙ 9 ∙ share

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Estimating Optimal Treatment Rules with an Instrumental Variable: A Partial Identification Learning Approach

Individualized treatment rules (ITRs) are considered a promising recipe ...
02/07/2020 ∙ by Hongming Pu, et al. ∙ 0 ∙ share

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Estimating Optimal Treatment Rules with an Instrumental Variable: A Semi-Supervised Learning Approach

Individualized treatment rules (ITRs) are regarded as a promising recipe...
02/07/2020 ∙ by Hongming Pu, et al. ∙ 0 ∙ share

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Imaging of buried obstacles in a two-layered medium with phaseless far-field data

The inverse problem we consider is to reconstruct the location and shape...
01/28/2020 ∙ by Long Li, et al. ∙ 0 ∙ share

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Privacy for All: Demystify Vulnerability Disparity of Differential Privacy against Membership Inference Attack

Machine learning algorithms, when applied to sensitive data, pose a pote...
01/24/2020 ∙ by Bo Zhang, et al. ∙ 0 ∙ share

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Bo Zhang

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