Bin Li

Scalable Deep Generative Relational Models with High-Order Node Dependence

We propose a probabilistic framework for modelling and exploring the lat...
11/04/2019 ∙ by Xuhui Fan, et al. ∙ 14 ∙ share

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VL-BERT: Pre-training of Generic Visual-Linguistic Representations

We introduce a new pre-trainable generic representation for visual-lingu...
08/22/2019 ∙ by Weijie Su, et al. ∙ 8 ∙ share

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CA-RefineNet:A Dual Input WSI Image Segmentation Algorithm Based on Attention

Due to the high resolution of pathological images, the automated semanti...
07/15/2019 ∙ by Ziqiang Li, et al. ∙ 4 ∙ share

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Event-based Robotic Grasping Detection with Neuromorphic Vision Sensor and Event-Stream Dataset

Robotic grasping plays an important role in the field of robotics. The c...
04/28/2020 ∙ by Bin Li, et al. ∙ 3 ∙ share

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Molecular Communications with Longitudinal Carrier Waves: Baseband to Passband Modulation

Traditional molecular communications via diffusion (MCvD) systems have u...
05/01/2015 ∙ by Weisi Guo, et al. ∙ 0 ∙ share

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JPEG Noises beyond the First Compression Cycle

This paper focuses on the JPEG noises, which include the quantization no...
05/29/2014 ∙ by Bin Li, et al. ∙ 0 ∙ share

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Stochastic Patching Process

Stochastic partition models tailor a product space into a number of rect...
05/23/2016 ∙ by Xuhui Fan, et al. ∙ 0 ∙ share

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Online Portfolio Selection: A Survey

Online portfolio selection is a fundamental problem in computational fin...
12/10/2012 ∙ by Bin Li, et al. ∙ 0 ∙ share

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Shortest Path and Maximum Flow Problems Under Service Function Chaining Constraints

With the advent of Network Function Virtualization (NFV), Physical Netwo...
01/17/2018 ∙ by Gamal Sallam, et al. ∙ 0 ∙ share

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Universal Model-free Information Extraction

Bayesian approaches have been used extensively in scientific and enginee...
04/14/2018 ∙ by Bin Li, et al. ∙ 0 ∙ share

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Optimal Load-Balancing for High-Density Wireless Networks with Flow-Level Dynamics

We consider the load-balancing design for forwarding incoming flows to a...
05/01/2018 ∙ by Bin Li, et al. ∙ 0 ∙ share

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Scene Learning: Deep Convolutional Networks For Wind Power Prediction by Embedding Turbines into Grid Space

Wind power prediction is of vital importance in wind power utilization. ...
07/16/2018 ∙ by Ruiguo Yu, et al. ∙ 0 ∙ share

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A Study of Deep Feature Fusion based Methods for Classifying Multi-lead ECG

An automatic classification method has been studied to effectively detec...
08/06/2018 ∙ by Bin Chen, et al. ∙ 0 ∙ share

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A multi-branch convolutional neural network for detecting double JPEG compression

Detection of double JPEG compression is important to forensics analysis....
10/16/2017 ∙ by Bin Li, et al. ∙ 0 ∙ share

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Predicting Lung Nodule Malignancies by Combining Deep Convolutional Neural Network and Handcrafted Features

To predict lung nodule malignancy with a high sensitivity and specificit...
09/07/2018 ∙ by Shulong Li, et al. ∙ 0 ∙ share

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Robust Fuzzy-Learning For Partially Overlapping Channels Allocation In UAV Communication Networks

In this paper, we consider a mesh-structured unmanned aerial vehicle (UA...
06/28/2018 ∙ by Chaoqiong Fan, et al. ∙ 0 ∙ share

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Affinity Derivation and Graph Merge for Instance Segmentation

We present an instance segmentation scheme based on pixel affinity infor...
11/27/2018 ∙ by Yiding Liu, et al. ∙ 0 ∙ share

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WISERNet: Wider Separate-then-reunion Network for Steganalysis of Color Images

Until recently, those deep steganalyzers in spatial domain are all desig...
03/13/2018 ∙ by Jishen Zeng, et al. ∙ 0 ∙ share

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CNN Based Adversarial Embedding with Minimum Alteration for Image Steganography

Historically, steganographic schemes were designed in a way to preserve ...
03/24/2018 ∙ by Weixuan Tang, et al. ∙ 0 ∙ share

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A Review for Weighted MinHash Algorithms

Data similarity (or distance) computation is a fundamental research topi...
11/12/2018 ∙ by Wei Wu, et al. ∙ 0 ∙ share

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High-dimensional Metric Combining for Non-coherent Molecular Signal Detection

In emerging Internet-of-Nano-Thing (IoNT), information will be embedded ...
01/31/2019 ∙ by Zhuangkun Wei, et al. ∙ 0 ∙ share

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Sequential Bayesian Detection of Spike Activities from Fluorescence Observations

Extracting and detecting spike activities from the fluorescence observat...
01/31/2019 ∙ by Zhuangkun Wei, et al. ∙ 0 ∙ share

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Spatial Mixture Models with Learnable Deep Priors for Perceptual Grouping

Humans perceive the seemingly chaotic world in a structured and composit...
02/07/2019 ∙ by Jinyang Yuan, et al. ∙ 0 ∙ share

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Detection of Deep Network Generated Images Using Disparities in Color Components

With the powerful deep network architectures, such as generative adversa...
08/22/2018 ∙ by Haodong Li, et al. ∙ 0 ∙ share

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Learn a Prior for RHEA for Better Online Planning

Rolling Horizon Evolutionary Algorithms (RHEA) are a class of online pla...
02/14/2019 ∙ by Xin Tong, et al. ∙ 0 ∙ share

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Customer Sharing in Economic Networks with Costs

In an economic market, sellers, infomediaries and customers constitute a...
07/18/2018 ∙ by Bin Li, et al. ∙ 0 ∙ share

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UAV Communications for 5G and Beyond: Recent Advances and Future Trends

Providing ubiquitous connectivity to diverse device types is the key cha...
01/20/2019 ∙ by Bin Li, et al. ∙ 0 ∙ share

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Rectangular Bounding Process

Stochastic partition models divide a multi-dimensional space into a numb...
03/10/2019 ∙ by Xuhui Fan, et al. ∙ 0 ∙ share

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Binary Space Partitioning Forests

The Binary Space Partitioning (BSP)-Tree process is proposed to produce ...
03/22/2019 ∙ by Xuhui Fan, et al. ∙ 0 ∙ share

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The Binary Space Partitioning-Tree Process

The Mondrian process represents an elegant and powerful approach for spa...
03/22/2019 ∙ by Xuhui Fan, et al. ∙ 0 ∙ share

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Text Guided Person Image Synthesis

This paper presents a novel method to manipulate the visual appearance (...
04/10/2019 ∙ by Xingran Zhou, et al. ∙ 0 ∙ share

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Question Guided Modular Routing Networks for Visual Question Answering

Visual Question Answering (VQA) faces two major challenges: how to bette...
04/17/2019 ∙ by Yanze Wu, et al. ∙ 0 ∙ share

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Diffusion and Auction on Graphs

Auction is the common paradigm for resource allocation which is a fundam...
05/23/2019 ∙ by Bin Li, et al. ∙ 0 ∙ share

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Dual Residual Network for Accurate Human Activity Recognition

Human Activity Recognition (HAR) using deep neural network has become a ...
03/13/2019 ∙ by Jun Long, et al. ∙ 0 ∙ share

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Selling Multiple Items via Social Networks

We consider a market where a seller sells multiple units of a commodity ...
03/07/2019 ∙ by Dengji Zhao, et al. ∙ 0 ∙ share

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DA-RefineNet:A Dual Input Whole Slide Image Segmentation Algorithm Based on Attention

Due to the high resolution of pathological images, the automated semanti...
07/15/2019 ∙ by Ziqiang Li, et al. ∙ 0 ∙ share

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A High-Throughput Architecture of List Successive Cancellation Polar Codes Decoder with Large List Size

As the first kind of forward error correction (FEC) codes that achieve c...
05/08/2018 ∙ by ChenYang Xia, et al. ∙ 0 ∙ share

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In Search of a Key Value Store with High Performance and High Availability

In recent year, the write-heavy applications is more and more prevalent....
04/17/2019 ∙ by Huaibing Jian, et al. ∙ 0 ∙ share

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A Low-Latency List Successive-Cancellation Decoding Implementation for Polar Codes

Due to their provably capacity-achieving performance, polar codes have a...
06/29/2018 ∙ by YouZhe Fan, et al. ∙ 0 ∙ share

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Task Allocation and Mobile Base Station Deployment in Wireless Powered Spatial Crowdsourcing

Wireless power transfer (WPT) is a promising technology to prolong the l...
07/21/2019 ∙ by Yutao Jiao, et al. ∙ 0 ∙ share

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CNN-based Steganalysis and Parametric Adversarial Embedding: a Game-Theoretic Framework

CNN-based steganalysis has recently achieved very good performance in de...
06/03/2019 ∙ by Xiaoyu Shi, et al. ∙ 0 ∙ share

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On Pre-transformed Polar Codes

In this paper, we prove that any pre-transformation with an upper-triang...
12/13/2019 ∙ by Bin Li, et al. ∙ 0 ∙ share

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Outlier Detection Ensemble with Embedded Feature Selection

Feature selection places an important role in improving the performance ...
01/15/2020 ∙ by Li Cheng, et al. ∙ 0 ∙ share

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Reinforcement learning for bandwidth estimation and congestion control in real-time communications

Bandwidth estimation and congestion control for real-time communications...
12/04/2019 ∙ by Joyce Fang, et al. ∙ 0 ∙ share

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Waiting but not Aging: Age-of-Information and Utility Optimization Under the Pull Model

The Age-of-Information (AoI) has recently been proposed as an important ...
12/17/2019 ∙ by Fengjiao Li, et al. ∙ 0 ∙ share

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Smoothing Graphons for Modelling Exchangeable Relational Data

Modelling exchangeable relational data can be described by graphon theor...
02/25/2020 ∙ by Xuhui Fan, et al. ∙ 0 ∙ share

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Recurrent Dirichlet Belief Networks for Interpretable Dynamic Relational Data Modelling

The Dirichlet Belief Network (DirBN) has been recently proposed as a pro...
02/24/2020 ∙ by Yaqiong Li, et al. ∙ 0 ∙ share

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Bayesian Nonparametric Space Partitions: A Survey

Bayesian nonparametric space partition (BNSP) models provide a variety o...
02/26/2020 ∙ by Xuhui Fan, et al. ∙ 0 ∙ share

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Cost-Sensitive Portfolio Selection via Deep Reinforcement Learning

Portfolio Selection is an important real-world financial task and has at...
03/06/2020 ∙ by Yifan Zhang, et al. ∙ 0 ∙ share

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Anti-Aging Scheduling in Single-Server Queues: A Systematic and Comparative Study

The Age-of-Information (AoI) is a new performance metric recently propos...
03/09/2020 ∙ by Zhongdong Liu, et al. ∙ 0 ∙ share

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Bin Li

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