Search Results for author: Hao Ye

Found 24 papers, 5 papers with code

Metric Distribution to Vector: Constructing Data Representation via Broad-Scale Discrepancies

no code implementations2 Oct 2022 Xue Liu, Dan Sun, Xiaobo Cao, Hao Ye, Wei Wei

Graph embedding provides a feasible methodology to conduct pattern classification for graph-structured data by mapping each data into the vectorial space.

Graph Embedding

Federated Learning and Wireless Communications

no code implementations11 May 2020 Zhijin Qin, Geoffrey Ye Li, Hao Ye

In contrast to other machine learning tools that require no communication resources, federated learning exploits communications between the central server and the distributed local clients to train and optimize a machine learning model.

Information Theory Signal Processing Information Theory

Cascaded Detail-Preserving Networks for Super-Resolution of Document Images

no code implementations25 Nov 2019 Zhichao Fu, Yu Kong, Yingbin Zheng, Hao Ye, Wenxin Hu, Jing Yang, Liang He

The accuracy of OCR is usually affected by the quality of the input document image and different kinds of marred document images hamper the OCR results.

Image Super-Resolution Optical Character Recognition

Scene Text Recognition with Temporal Convolutional Encoder

no code implementations4 Nov 2019 Xiangcheng Du, Tianlong Ma, Yingbin Zheng, Hao Ye, Xingjiao Wu, Liang He

In this paper, we study text recognition framework by considering the long-term temporal dependencies in the encoder stage.

Scene Text Recognition

Learn to Compress CSI and Allocate Resources in Vehicular Networks

no code implementations12 Aug 2019 Liang Wang, Hao Ye, Le Liang, Geoffrey Ye Li

The centralized decision unit employs a deep Q-network to allocate resources and then sends the decision results to all vehicles.

Decision Making Quantization

Learn to Allocate Resources in Vehicular Networks

no code implementations30 Jul 2019 Liang Wang, Hao Ye, Le Liang, Geoffrey Ye Li

Meanwhile, there exists an optimal number of continuous feedback and binary feedback, respectively.

Decision Making Quantization

Deep Learning based Wireless Resource Allocation with Application to Vehicular Networks

no code implementations7 Jul 2019 Le Liang, Hao Ye, Guanding Yu, Geoffrey Ye Li

The traditional wisdom is to explicitly formulate resource allocation as an optimization problem and then exploit mathematical programming to solve the problem to a certain level of optimality.

Philosophy

Edge-Aware Deep Image Deblurring

no code implementations4 Jul 2019 Zhichao Fu, Tianlong Ma, Yingbin Zheng, Hao Ye, Jing Yang, Liang He

In this paper, we resort to human visual demands of sharp edges and propose a two-phase edge-aware deep network to improve deep image deblurring.

Deblurring Edge Detection +1

Fast Video Crowd Counting with a Temporal Aware Network

no code implementations4 Jul 2019 Xingjiao Wu, Baohan Xu, Yingbin Zheng, Hao Ye, Jing Yang, Liang He

Crowd counting aims to count the number of instantaneous people in a crowded space, and many promising solutions have been proposed for single image crowd counting.

Crowd Counting

Spectrum Sharing in Vehicular Networks Based on Multi-Agent Reinforcement Learning

1 code implementation8 May 2019 Le Liang, Hao Ye, Geoffrey Ye Li

This paper investigates the spectrum sharing problem in vehicular networks based on multi-agent reinforcement learning, where multiple vehicle-to-vehicle (V2V) links reuse the frequency spectrum preoccupied by vehicle-to-infrastructure (V2I) links.

Information Theory Information Theory

Deep Learning based End-to-End Wireless Communication Systems with Conditional GAN as Unknown Channel

no code implementations6 Mar 2019 Hao Ye, Le Liang, Geoffrey Ye Li, Biing-Hwang Fred Juang

We propose to use a conditional generative adversarial net (GAN) to represent channel effects and to bridge the transmitter DNN and the receiver DNN so that the gradient of the transmitter DNN can be back-propagated from the receiver DNN.

Information Theory Information Theory

Adaptive Scenario Discovery for Crowd Counting

1 code implementation6 Dec 2018 Xingjiao Wu, Yingbin Zheng, Hao Ye, Wenxin Hu, Jing Yang, Liang He

Crowd counting, i. e., estimation number of the pedestrian in crowd images, is emerging as an important research problem with the public security applications.

Crowd Counting

Channel Agnostic End-to-End Learning based Communication Systems with Conditional GAN

no code implementations2 Jul 2018 Hao Ye, Geoffrey Ye Li, Biing-Hwang Fred Juang, Kathiravetpillai Sivanesan

In this article, we use deep neural networks (DNNs) to develop a wireless end-to-end communication system, in which DNNs are employed for all signal-related functionalities, such as encoding, decoding, modulation, and equalization.

Information Theory Information Theory

Crowd Counting with Density Adaption Networks

no code implementations26 Jun 2018 Li Wang, Weiyuan Shao, Yao Lu, Hao Ye, Jian Pu, Yingbin Zheng

Crowd counting is one of the core tasks in various surveillance applications.

Crowd Counting

Precise Temporal Action Localization by Evolving Temporal Proposals

no code implementations13 Apr 2018 Haonan Qiu, Yingbin Zheng, Hao Ye, Yao Lu, Feng Wang, Liang He

The performances of existing action localization approaches remain unsatisfactory in precisely determining the beginning and the end of an action.

Temporal Action Localization

Toward Intelligent Vehicular Networks: A Machine Learning Framework

no code implementations1 Apr 2018 Le Liang, Hao Ye, Geoffrey Ye Li

As wireless networks evolve towards high mobility and providing better support for connected vehicles, a number of new challenges arise due to the resulting high dynamics in vehicular environments and thus motive rethinking of traditional wireless design methodologies.

BIG-bench Machine Learning

Attentional Factorization Machines: Learning the Weight of Feature Interactions via Attention Networks

6 code implementations15 Aug 2017 Jun Xiao, Hao Ye, Xiangnan He, Hanwang Zhang, Fei Wu, Tat-Seng Chua

Factorization Machines (FMs) are a supervised learning approach that enhances the linear regression model by incorporating the second-order feature interactions.

regression

Arbitrary-Oriented Scene Text Detection via Rotation Proposals

4 code implementations3 Mar 2017 Jianqi Ma, Weiyuan Shao, Hao Ye, Li Wang, Hong Wang, Yingbin Zheng, xiangyang xue

This paper introduces a novel rotation-based framework for arbitrary-oriented text detection in natural scene images.

Region Proposal Scene Text Detection

Evaluating Two-Stream CNN for Video Classification

no code implementations8 Apr 2015 Hao Ye, Zuxuan Wu, Rui-Wei Zhao, Xi Wang, Yu-Gang Jiang, xiangyang xue

In this paper, we conduct an in-depth study to investigate important implementation options that may affect the performance of deep nets on video classification.

Classification General Classification +1

Modeling Spatial-Temporal Clues in a Hybrid Deep Learning Framework for Video Classification

1 code implementation7 Apr 2015 Zuxuan Wu, Xi Wang, Yu-Gang Jiang, Hao Ye, xiangyang xue

In this paper, we propose a hybrid deep learning framework for video classification, which is able to model static spatial information, short-term motion, as well as long-term temporal clues in the videos.

Classification General Classification +1

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