Song Wang

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FUJITSU

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UNSW Canberra

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York University

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University of South Carolina

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BEIJING JIAOTONG UNIVERSITY

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Zhejiang University

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Microsoft

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Tianjin University

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La Trobe University

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Baidu, Inc.

Professor of Department of Computer Science and Engineering at University of South Carolina since 2014, Associate Professor at University of South Carolina from 2008-2013, Ph.D. degree from the Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, in 2002.

Featured Co-authors

Wei Liu
320 publications
Wei Chen
241 publications
Yu Wang
196 publications
Yan Zhang
155 publications
Zheng Zhang
145 publications
Jing Xiao
141 publications
Long Chen
121 publications
Zheng Wang
115 publications
Qian Wang
112 publications
Li Chen
110 publications
Sanja Fidler
107 publications

∙ 07/29/2022

PC-GANs: Progressive Compensation Generative Adversarial Networks for Pan-sharpening

The fusion of multispectral and panchromatic images is always dubbed pan...

Yinghui Xing, et al. ∙

∙ 07/12/2022

Are We Building on the Rock? On the Importance of Data Preprocessing for Code Summarization

Code summarization, the task of generating useful comments given the cod...

Lin Shi, et al. ∙

∙ 07/04/2022

CRFormer: A Cross-Region Transformer for Shadow Removal

Aiming to restore the original intensity of shadow regions in an image a...

Jin Wan, et al. ∙

∙ 06/28/2022

Joint Generator-Ranker Learning for Natural Language Generation

Due to exposure bias, most existing natural language generation (NLG) mo...

Weizhou Shen, et al. ∙

∙ 06/26/2022

A Novel Length-Flexible Lightweight Cancelable Fingerprint Template for Privacy-Preserving Authentication Systems in Resource-Constrained IoT Applications

Fingerprint authentication techniques have been employed in various Inte...

Xuefei Yin, et al. ∙

∙ 06/24/2022

On Structural Explanation of Bias in Graph Neural Networks

Graph Neural Networks (GNNs) have shown satisfying performance in variou...

Yushun Dong, et al. ∙

∙ 04/27/2022

DialogVED: A Pre-trained Latent Variable Encoder-Decoder Model for Dialog Response Generation

Dialog response generation in open domain is an important research topic...

Wei Chen, et al. ∙

∙ 04/27/2022

An End-to-End Dialogue Summarization System for Sales Calls

Summarizing sales calls is a routine task performed manually by salespeo...

Abedelkadir Asi, et al. ∙

∙ 04/14/2022

PLGAN: Generative Adversarial Networks for Power-Line Segmentation in Aerial Images

Accurate segmentation of power lines in various aerial images is very im...

Rabab Abdelfattah, et al. ∙

∙ 03/31/2022

Cancellable Template Design for Privacy-Preserving EEG Biometric Authentication Systems

As a promising candidate to complement traditional biometric modalities,...

Min Wang, et al. ∙

∙ 03/12/2022

Characterizing and Understanding Software Security Vulnerabilities in Machine Learning Libraries

The application of machine learning (ML) libraries has been tremendously...

Nima Shiri Harzevili, et al. ∙

∙ 03/08/2022

Self-supervised Social Relation Representation for Human Group Detection

Human group detection, which splits crowd of people into groups, is an i...

Jiacheng Li, et al. ∙

∙ 03/08/2022

Panoramic Human Activity Recognition

To obtain a more comprehensive activity understanding for a crowded scen...

Ruize Han, et al. ∙

∙ 02/27/2022

Meta-RangeSeg: LiDAR Sequence Semantic Segmentation Using Multiple Feature Aggregation

LiDAR sensor is essential to the perception system in autonomous vehicle...

Song Wang, et al. ∙

∙ 01/11/2022

Prior Knowledge Enhances Radiology Report Generation

Radiology report generation aims to produce computer-aided diagnoses to ...

Song Wang, et al. ∙

∙ 12/09/2021

Style Mixing and Patchwise Prototypical Matching for One-Shot Unsupervised Domain Adaptive Semantic Segmentation

In this paper, we tackle the problem of one-shot unsupervised domain ada...

Xinyi Wu, et al. ∙

∙ 11/22/2021

ATLANTIS: A Benchmark for Semantic Segmentation of Waterbody Images

Vision-based semantic segmentation of waterbodies and nearby related obj...

Seyed Mohammad Hassan Erfani, et al. ∙

∙ 11/21/2021

Explainable Software Defect Prediction: Are We There Yet?

Explaining the prediction results of software defect prediction models i...

Jiho Shin, et al. ∙

∙ 10/30/2021

Hierarchical Heterogeneous Graph Representation Learning for Short Text Classification

Short text classification is a fundamental task in natural language proc...

Yaqing Wang, et al. ∙

∙ 09/06/2021

Find Bugs in Static Bug Finders

Static bug finders have been widely-adopted by developers to find bugs i...

Junjie Wang, et al. ∙

∙ 08/19/2021

VIL-100: A New Dataset and A Baseline Model for Video Instance Lane Detection

Lane detection plays a key role in autonomous driving. While car cameras...

Yujun Zhang, et al. ∙

∙ 08/15/2021

CPNet: Cycle Prototype Network for Weakly-supervised 3D Renal Compartments Segmentation on CT Images

Renal compartment segmentation on CT images targets on extracting the 3D...

Song Wang, et al. ∙

∙ 06/17/2021

CoCoFuzzing: Testing Neural Code Models with Coverage-Guided Fuzzing

Deep learning-based code processing models have shown good performance f...

Moshi Wei, et al. ∙

∙ 04/22/2021

DANNet: A One-Stage Domain Adaptation Network for Unsupervised Nighttime Semantic Segmentation

Semantic segmentation of nighttime images plays an equally important rol...

Xinyi Wu, et al. ∙

∙ 03/24/2021

From Shadow Generation to Shadow Removal

Shadow removal is a computer-vision task that aims to restore the image ...

Zhihao Liu, et al. ∙

∙ 12/14/2020

Multi-Domain Multi-Task Rehearsal for Lifelong Learning

Rehearsal, seeking to remind the model by storing old knowledge in lifel...

Fan lyu, et al. ∙

∙ 12/02/2020

Contour Transformer Network for One-shot Segmentation of Anatomical Structures

Accurate segmentation of anatomical structures is vital for medical imag...

Yuhang Lu, et al. ∙

∙ 10/20/2020

TTPLA: An Aerial-Image Dataset for Detection and Segmentation of Transmission Towers and Power Lines

Accurate detection and segmentation of transmission towers (TTs) and pow...

Rabab Abdelfattah, et al. ∙

∙ 09/19/2020

Making Images Undiscoverable from Co-Saliency Detection

In recent years, co-saliency object detection (CoSOD) has achieved signi...

Ruijun Gao, et al. ∙

∙ 07/06/2020

Learning to Segment Anatomical Structures Accurately from One Exemplar

Accurate segmentation of critical anatomical structures is at the core o...

Yuhang Lu, et al. ∙

∙ 06/28/2020

Shadow Removal by a Lightness-Guided Network with Training on Unpaired Data

Shadow removal can significantly improve the image visual quality and ha...

Zhihao Liu, et al. ∙

∙ 03/24/2020

Modeling Cross-view Interaction Consistency for Paired Egocentric Interaction Recognition

With the development of Augmented Reality (AR), egocentric action recogn...

Zhongguo Li, et al. ∙

∙ 03/18/2020

MUTATT: Visual-Textual Mutual Guidance for Referring Expression Comprehension

Referring expression comprehension (REC) aims to localize a text-related...

Shuai Wang, et al. ∙

∙ 02/25/2020

Label-guided Learning for Text Classification

Text classification is one of the most important and fundamental tasks i...

Xien Liu, et al. ∙

∙ 12/14/2019

Deep Poisoning Functions: Towards Robust Privacy-safe Image Data Sharing

As deep networks are applied to an ever-expanding set of computer vision...

Hao Guo, et al. ∙

∙ 11/17/2019

Transductive Zero-Shot Hashing for Multi-Label Image Retrieval

Hash coding has been widely used in approximate nearest neighbor search ...

Qin Zou, et al. ∙

∙ 10/25/2019

An End-to-End Network for Co-Saliency Detection in One Single Image

As a common visual problem, co-saliency detection within a single image ...

Yuanhao Yue, et al. ∙

∙ 08/21/2019

Effects of Blur and Deblurring to Visual Object Tracking

Intuitively, motion blur may hurt the performance of visual object track...

Qing Guo, et al. ∙

∙ 07/28/2019

Characterizing and Understanding Software Developer Networks in Security Development

To build secure software, developers often work together during software...

Song Wang, et al. ∙

∙ 07/26/2019

Multiple Human Association between Top and Horizontal Views by Matching Subjects' Spatial Distributions

Video surveillance can be significantly enhanced by using both top-view ...

Ruize Han, et al. ∙

∙ 11/26/2018

Which One to Go: Security and Usability Evaluation of Mid-Air Gestures

With the emerging of touch-less human-computer interaction techniques an...

Wenyuan Xu, et al. ∙

∙ 11/21/2018

Validating the Contextual Information of Outdoor Images for Photo Misuse Detection

The contextual information (i.e., the time and location) in which a phot...

Xiaopeng Li, et al. ∙

∙ 11/19/2018

Global and Local Sensitivity Guided Key Salient Object Re-augmentation for Video Saliency Detection

The existing still-static deep learning based saliency researches do not...

Ziqi Zhou, et al. ∙

∙ 10/22/2018

Dating Ancient Paintings of Mogao Grottoes Using Deeply Learnt Visual Codes

Cultural heritage is the asset of all the peoples of the world. The pres...

Qingquan Li, et al. ∙

∙ 10/12/2018

Does Haze Removal Help CNN-based Image Classification?

Hazy images are common in real scenarios and many dehazing methods have ...

Yanting Pei, et al. ∙

∙ 10/12/2018

Effects of Image Degradations to CNN-based Image Classification

Just like many other topics in computer vision, image classification has...

Yanting Pei, et al. ∙

∙ 09/10/2018

Interactive Binary Image Segmentation with Edge Preservation

Binary image segmentation plays an important role in computer vision and...

Jianfeng Zhang, et al. ∙

∙ 05/25/2018

Unsupervised Learning for Large-Scale Fiber Detection and Tracking in Microscopic Material Images

Constructing 3D structures from serial section data is a long standing p...

Hongkai Yu, et al. ∙

∙ 05/17/2018

Design Identification of Curve Patterns on Cultural Heritage Objects: Combining Template Matching and CNN-based Re-Ranking

The surfaces of many cultural heritage objects were embellished with var...

Jun Zhou, et al. ∙

∙ 05/07/2018

Cutting Away the Confusion From Crowdtesting

Crowdtesting is effective especially when it comes to the feedback on GU...

Junjie Wang, et al. ∙