652 citations · 2.4k across the 51 of their papers we have counts for
54 papers
Numerical Analysis of History-dependent Variational-hemivariational Inequalities
Shufen Wang, Wei Xu, Weimin Han +1
In this paper, numerical analysis is carried out for a class of history-dependent variational-hemivariational inequalities arising in contact problems. Three different numerical tr…
CAMEL: A Weakly Supervised Learning Framework for Histopathology Image Segmentation
Gang Xu, Zhigang Song, Zhuo Sun +6
Histopathology image analysis plays a critical role in cancer diagnosis and treatment. To automatically segment the cancerous regions, fully supervised segmentation algorithms requ…
Ergodic Rate Analysis of Cooperative Ambient Backscatter Communication
Shaoqing Zhou, Wei Xu, Kezhi Wang +3
Ambient backscatter communication has shown great potential in the development of future wireless networks. It enables a backscatter transmitter (BTx) to send information directly…
Multicell MIMO Communications Relying on Intelligent Reflecting Surface
Cunhua Pan, Hong Ren, Kezhi Wang +4
Intelligent reflecting surfaces (IRSs) constitute a disruptive wireless communication technique capable of creating a controllable propagation environment. In this paper, we propos…
Localizing Adverts in Outdoor Scenes
Soumyabrata Dev, Murhaf Hossari, Matthew Nicholson +6
Online videos have witnessed an unprecedented growth over the last decade, owing to wide range of content creation. This provides the advertisement and marketing agencies plethora…
The CASE Dataset of Candidate Spaces for Advert Implantation
Soumyabrata Dev, Murhaf Hossari, Matthew Nicholson +6
With the advent of faster internet services and growth of multimedia content, we observe a massive growth in the number of online videos. The users generate these video contents at…
The ALOS Dataset for Advert Localization in Outdoor Scenes
Soumyabrata Dev, Murhaf Hossari, Matthew Nicholson +6
The rapid increase in the number of online videos provides the marketing and advertising agents ample opportunities to reach out to their audience. One of the most widely used stra…
Learning Good Representation via Continuous Attention
Liang Zhao, Wei Xu
In this paper we present our scientific discovery that good representation can be learned via continuous attention during the interaction between Unsupervised Learning(UL) and Rein…
Optimal Multi-View Video Transmission in Multiuser Wireless Networks by Exploiting Natural and View Synthesis-Enabled Multicast Opportunities
Wei Xu, Ying Cui, Zhi Liu
Multi-view videos (MVVs) provide immersive viewing experience, at the cost of traffic load increase for wireless networks. In this paper, we would like to optimize MVV transmission…
Doc2EDAG: An End-to-End Document-level Framework for Chinese Financial Event Extraction
Shun Zheng, Wei Cao, Wei Xu +1
Most existing event extraction (EE) methods merely extract event arguments within the sentence scope. However, such sentence-level EE methods struggle to handle soaring amounts of…
Full Attitude Control of an Efficient Quadrotor Tail-sitter VTOL UAV with Flexible Modes
Wei Xu, Haowei Gu, Youming Qing +2
In this paper, we present a full attitude control of an efficient quadrotor tail-sitter VTOL UAV with flexible modes. This control system is working in all flight modes without any…
ADNet: A Deep Network for Detecting Adverts
Murhaf Hossari, Soumyabrata Dev, Matthew Nicholson +6
Online video advertising gives content providers the ability to deliver compelling content, reach a growing audience, and generate additional revenue from online media. Recently, a…
DIAG-NRE: A Neural Pattern Diagnosis Framework for Distantly Supervised Neural Relation Extraction
Shun Zheng, Xu Han, Yankai Lin +5
Pattern-based labeling methods have achieved promising results in alleviating the inevitable labeling noises of distantly supervised neural relation extraction. However, these meth…
A Word-Complexity Lexicon and A Neural Readability Ranking Model for Lexical Simplification
Mounica Maddela, Wei Xu
Current lexical simplification approaches rely heavily on heuristics and corpus level features that do not always align with human judgment. We create a human-rated word-complexity…
Joint Unsupervised Learning of Optical Flow and Depth by Watching Stereo Videos
Yang Wang, Zhenheng Yang, Peng Wang +3
Learning depth and optical flow via deep neural networks by watching videos has made significant progress recently. In this paper, we jointly solve the two tasks by exploiting the…
No Place to Hide: Catching Fraudulent Entities in Tensors
Yikun Ban, Xin Liu, Yitao Duan +2
Many approaches focus on detecting dense blocks in the tensor of multimodal data to prevent fraudulent entities (e.g., accounts, links) from retweet boosting, hashtag hijacking, li…
Every Pixel Counts ++: Joint Learning of Geometry and Motion with 3D Holistic Understanding
Chenxu Luo, Zhenheng Yang, Peng Wang +4
Learning to estimate 3D geometry in a single frame and optical flow from consecutive frames by watching unlabeled videos via deep convolutional network has made significant progres…
High-Performance Multi-Mode Ptychography Reconstruction on Distributed GPUs
Zhihua Dong, Yao-Lung L. Fang, Xiaojing Huang +6
Ptychography is an emerging imaging technique that is able to provide wavelength-limited spatial resolution from specimen with extended lateral dimensions. As a scanning microscopy…
Energy-Efficient Multi-View Video Transmission with View Synthesis-Enabled Multicast
Wei Xu, Yuzhuo Wei, Ying Cui +1
Multi-view videos (MVVs) provide immersive viewing experience, at the cost of heavy load to wireless networks. Except for further improving viewing experience, view synthesis can c…
Tracklet Association Tracker: An End-to-End Learning-based Association Approach for Multi-Object Tracking
Han Shen, Lichao Huang, Chang Huang +1
Traditional multiple object tracking methods divide the task into two parts: affinity learning and data association. The separation of the task requires to define a hand-crafted tr…
BadLink: Combining Graph and Information-Theoretical Features for Online Fraud Group Detection
Yikun Ban, Xin Liu, Tianyi Zhang +4
Frauds severely hurt many kinds of Internet businesses. Group-based fraud detection is a popular methodology to catch fraudsters who unavoidably exhibit synchronized behaviors. We…
Every Pixel Counts: Unsupervised Geometry Learning with Holistic 3D Motion Understanding
Zhenheng Yang, Peng Wang, Yang Wang +2
Learning to estimate 3D geometry in a single image by watching unlabeled videos via deep convolutional network has made significant process recently. Current state-of-the-art (SOTA…
DeLS-3D: Deep Localization and Segmentation with a 3D Semantic Map
Peng Wang, Ruigang Yang, Binbin Cao +2
For applications such as autonomous driving, self-localization/camera pose estimation and scene parsing are crucial technologies. In this paper, we propose a unified framework to t…
Guided Feature Transformation (GFT): A Neural Language Grounding Module for Embodied Agents
Haonan Yu, Xiaochen Lian, Haichao Zhang +1
Recently there has been a rising interest in training agents, embodied in virtual environments, to perform language-directed tasks by deep reinforcement learning. In this paper, we…