b'Bo Zhang'

research

∙ 07/26/2022

Reconstruction of inhomogeneous media by iterative reconstruction algorithm with learned projector

This paper is concerned with the inverse problem of scattering of time-h...

Kai Li, et al. ∙

research

∙ 07/21/2022

Human-centric Image Cropping with Partition-aware and Content-preserving Features

Image cropping aims to find visually appealing crops in an image, which ...

Bo Zhang, et al. ∙

research

∙ 07/17/2022

Aspect-specific Context Modeling for Aspect-based Sentiment Analysis

Aspect-based sentiment analysis (ABSA) aims at predicting sentiment pola...

Fang Ma, et al. ∙

research

∙ 07/06/2022

Careful seeding for the k-medoids algorithm with incremental k++ cluster construction

The k-medoids algorithm is a popular variant of the k-means algorithm an...

Difei Cheng, et al. ∙

research

∙ 07/06/2022

Spatial Transformation for Image Composition via Correspondence Learning

When using cut-and-paste to acquire a composite image, the geometry inco...

Bo Zhang, et al. ∙

research

∙ 07/04/2022

Multi-granularity Item-based Contrastive Recommendation

Contrastive learning (CL) has shown its power in recommendation. However...

Ruobing Xie, et al. ∙

research

∙ 07/02/2022

Learning Cross-Image Object Semantic Relation in Transformer for Few-Shot Fine-Grained Image Classification

Few-shot fine-grained learning aims to classify a query image into one o...

Bo Zhang, et al. ∙

research

∙ 06/23/2022

Mining Error Templates for Grammatical Error Correction

Some grammatical error correction (GEC) systems incorporate hand-crafted...

Yue Zhang, et al. ∙

research

∙ 06/17/2022

Fast Lossless Neural Compression with Integer-Only Discrete Flows

By applying entropy codecs with learned data distributions, neural compr...

Siyu Wang, et al. ∙

research

∙ 06/15/2022

Estimating the Optimal Covariance with Imperfect Mean in Diffusion Probabilistic Models

Diffusion probabilistic models (DPMs) are a class of powerful deep gener...

Fan Bao, et al. ∙

research

∙ 06/12/2022

Consistent Attack: Universal Adversarial Perturbation on Embodied Vision Navigation

Embodied agents in vision navigation coupled with deep neural networks h...

You Qiaoben, et al. ∙

research

∙ 05/09/2022

Towards better reconciling randomized controlled trial and observational study findings: Efficient algorithms for building representative matched samples with enhanced external

Many recent efforts center on assessing the ability of real-world eviden...

Bo Zhang, et al. ∙

research

∙ 04/27/2022

Asymptotic Inference for Infinitely Imbalanced Logistic Regression

In this paper we extend the work of Owen (2007) by deriving a second ord...

Dorian Goldman, et al. ∙

research

∙ 04/27/2022

Adaptable Text Matching via Meta-Weight Regulator

Neural text matching models have been used in a range of applications su...

Bo Zhang, et al. ∙

research

∙ 04/25/2022

A new preferential model with homophily for recommender systems

"Rich-get-richer" and "homophily" are two important phenomena in evolvin...

Hanyang Tian, et al. ∙

research

∙ 04/25/2022

A new model for preferential attachment scheme with time-varying parameters

We propose an extension of the preferential attachment scheme by allowin...

Bo Zhang, et al. ∙

research

∙ 04/23/2022

MuCGEC: a Multi-Reference Multi-Source Evaluation Dataset for Chinese Grammatical Error Correction

This paper presents MuCGEC, a multi-reference multi-source evaluation da...

Yue Zhang, et al. ∙

research

∙ 04/03/2022

Robust PCA for High Dimensional Data based on Characteristic Transformation

In this paper, we propose a novel robust Principal Component Analysis (P...

Lingyu He, et al. ∙

research

∙ 03/31/2022

Bringing Old Films Back to Life

We present a learning-based framework, recurrent transformer network (RT...

Ziyu Wan, et al. ∙

research

∙ 03/07/2022

Adversarial Texture for Fooling Person Detectors in the Physical World

Nowadays, cameras equipped with AI systems can capture and analyze image...

Zhanhao Hu, et al. ∙

research

∙ 03/05/2022

Wasserstein Distance-based Spectral Clustering with Application to Transaction Data

With the rapid development of online payment platforms, it is now possib...

Yingqiu Zhu, et al. ∙

research

∙ 03/03/2022

Curriculum-style Local-to-global Adaptation for Cross-domain Remote Sensing Image Segmentation

Although domain adaptation has been extensively studied in natural image...

Bo Zhang, et al. ∙

research

∙ 02/02/2022

Some Reflections on Drawing Causal Inference using Textual Data: Parallels Between Human Subjects and Organized Texts

We examine the role of textual data as study units when conducting causa...

Bo Zhang, et al. ∙

research

∙ 01/17/2022

Analytic-DPM: an Analytic Estimate of the Optimal Reverse Variance in Diffusion Probabilistic Models

Diffusion probabilistic models (DPMs) represent a class of powerful gene...

Fan Bao, et al. ∙

research

∙ 01/06/2022

Blind Source Separation over Space

We propose a new estimation method for the spatial blind source separati...

Bo Zhang, et al. ∙

research

∙ 12/31/2021

TransLog: A Unified Transformer-based Framework for Log Anomaly Detection

Log anomaly detection is a key component in the field of artificial inte...

Hongcheng Guo, et al. ∙

research

∙ 12/20/2021

StyleSwin: Transformer-based GAN for High-resolution Image Generation

Despite the tantalizing success in a broad of vision tasks, transformers...

Bowen Zhang, et al. ∙

research

∙ 12/16/2021

Sensitivity Analysis of the MCRF Model to Different Transiogram Joint Modeling Methods for Simulating Categorical Spatial Variables

Markov chain geostatistics is a methodology for simulating categorical f...

Bo Zhang, et al. ∙

research

∙ 12/02/2021

Contrastive Cross-domain Recommendation in Matching

Cross-domain recommendation (CDR) aims to provide better recommendation ...

Ruobing Xie, et al. ∙

research

∙ 11/29/2021

Vector Quantized Diffusion Model for Text-to-Image Synthesis

We present the vector quantized diffusion (VQ-Diffusion) model for text-...

Shuyang Gu, et al. ∙

research

∙ 10/19/2021

Subsampling Spectral Clustering for Large-Scale Social Networks

Online social network platforms such as Twitter and Sina Weibo have been...

Jiayi Deng, et al. ∙

research

∙ 10/08/2021

Multiplex Behavioral Relation Learning for Recommendation via Memory Augmented Transformer Network

Capturing users' precise preferences is of great importance in various r...

Lianghao Xia, et al. ∙

research

∙ 10/05/2021

LogDP: Combining Dependency and Proximity for Log-based Anomaly Detection

Log analysis is an important technique that engineers use for troublesho...

Yongzheng Xie, et al. ∙

research

∙ 09/23/2021

Fast Density Estimation for Density-based Clustering Methods

Density-based clustering algorithms are widely used for discovering clus...

Difei Cheng, et al. ∙

research

∙ 09/19/2021

Joint Distribution Alignment via Adversarial Learning for Domain Adaptive Object Detection

Unsupervised domain adaptive object detection aims to adapt a well-train...

Bo Zhang, et al. ∙

research

∙ 08/30/2021

Densely Semantic Enhancement for Domain Adaptive Region-free Detectors

Unsupervised domain adaptive object detection aims to adapt a well-train...

Bo Zhang, et al. ∙

research

∙ 08/30/2021

Object-aware Long-short-range Spatial Alignment for Few-Shot Fine-Grained Image Classification

The goal of few-shot fine-grained image classification is to recognize r...

Yike Wu, et al. ∙

research

∙ 08/05/2021

The Nyström method for elastic wave scattering by unbounded rough surfaces

We consider the numerical algorithm for the two-dimensional time-harmoni...

Jianliang Li, et al. ∙

research

∙ 07/05/2021

OPA: Object Placement Assessment Dataset

Image composition aims to generate realistic composite image by insertin...

Liu Liu, et al. ∙

research

∙ 07/01/2021

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

Deep neural networks (DNNs) are prominent due to their superior performa...

Boxiang Dong, et al. ∙

research

∙ 07/01/2021

Modified sampling method with near field measurements

This paper investigates the inverse scattering problems using sampling m...

Xiaodong Liu, et al. ∙

research

∙ 06/30/2021

Understanding Adversarial Attacks on Observations in Deep Reinforcement Learning

Recent works demonstrate that deep reinforcement learning (DRL) models a...

You Qiaoben, et al. ∙

research

∙ 06/28/2021

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

As a common image editing operation, image composition aims to cut the f...

Li Niu, et al. ∙

research

∙ 06/21/2021

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...

Fangfang Dou, et al. ∙

research

∙ 06/08/2021

Stability and Generalization of Bilevel Programming in Hyperparameter Optimization

Recently, the (gradient-based) bilevel programming framework is widely u...

Fan Bao, et al. ∙

research

∙ 06/01/2021

Robust Mutual Learning for Semi-supervised Semantic Segmentation

Recent semi-supervised learning (SSL) methods are commonly based on pseu...

Pan Zhang, et al. ∙

research

∙ 04/28/2021

Twins: Revisiting Spatial Attention Design in Vision Transformers

Very recently, a variety of vision transformer architectures for dense p...

Xiangxiang Chu, et al. ∙

research

∙ 04/20/2021

Microshift: An Efficient Image Compression Algorithm for Hardware

In this paper, we propose a lossy image compression algorithm called Mic...

Bo Zhang, et al. ∙

research

∙ 04/18/2021

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

Contaminants such as dust, dirt and moisture adhering to the camera lens...

Xiaoyu Li, et al. ∙

research

∙ 04/15/2021

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

Estimating dynamic treatment regimes (DTRs) from retrospective observati...

Shuxiao Chen, et al. ∙

Bo Zhang

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