Search Results for author: Feng Wang

Found 40 papers, 16 papers with code

YOLOX: Exceeding YOLO Series in 2021

1 code implementation18 Jul 2021 Zheng Ge, Songtao Liu, Feng Wang, Zeming Li, Jian Sun

In this report, we present some experienced improvements to YOLO series, forming a new high-performance detector -- YOLOX.

Autonomous Driving

Adversarial Reinforcement Learning in Dynamic Channel Access and Power Control

no code implementations12 May 2021 Feng Wang, M. Cenk Gursoy, Senem Velipasalar

Deep reinforcement learning (DRL) has recently been used to perform efficient resource allocation in wireless communications.

Device-Cloud Collaborative Learning for Recommendation

no code implementations14 Apr 2021 Jiangchao Yao, Feng Wang, Kunyang Jia, Bo Han, Jingren Zhou, Hongxia Yang

With the rapid development of storage and computing power on mobile devices, it becomes critical and popular to deploy models on devices to save onerous communication latencies and to capture real-time features.

LiDAR R-CNN: An Efficient and Universal 3D Object Detector

1 code implementation CVPR 2021 Zhichao Li, Feng Wang, Naiyan Wang

LiDAR-based 3D detection in point cloud is essential in the perception system of autonomous driving.

Autonomous Driving

RangeDet:In Defense of Range View for LiDAR-based 3D Object Detection

no code implementations18 Mar 2021 Lue Fan, Xuan Xiong, Feng Wang, Naiyan Wang, Zhaoxiang Zhang

The most notable difference with previous works is that our method is purely based on the range view representation.

3D Object Detection Quantization +1

Understanding the Behaviour of Contrastive Loss

no code implementations CVPR 2021 Feng Wang, Huaping Liu

We will show that the contrastive loss is a hardness-aware loss function, and the temperature {\tau} controls the strength of penalties on hard negative samples.

Contrastive Learning

Unsupervised Representation Learning by Invariance Propagation

no code implementations NeurIPS 2020 Feng Wang, Huaping Liu, Di Guo, Sun Fuchun

In this paper, we propose Invariance Propagation to focus on learning representations invariant to category-level variations, which are provided by different instances from the same category.

Contrastive Learning Transfer Learning +1

Unsupervised Representation Learning by InvariancePropagation

1 code implementation7 Oct 2020 Feng Wang, Huaping Liu, Di Guo, Fuchun Sun

In this paper, we propose Invariance Propagation to focus on learning representations invariant to category-level variations, which are provided by different instances from the same category.

Contrastive Learning Transfer Learning +1

Adversarial jamming attacks and defense strategies via adaptive deep reinforcement learning

no code implementations12 Jul 2020 Feng Wang, Chen Zhong, M. Cenk Gursoy, Senem Velipasalar

As the applications of deep reinforcement learning (DRL) in wireless communications grow, sensitivity of DRL based wireless communication strategies against adversarial attacks has started to draw increasing attention.

Decision Making

Cooling-Aware Resource Allocation and Load Management for Mobile Edge Computing Systems

no code implementations19 Jun 2020 Xiaojing Chen, Zhouyu Lu, Wei Ni, Xin Wang, Feng Wang, Shunqing Zhang, Shugong Xu

Driven by explosive computation demands of Internet of Things (IoT), mobile edge computing (MEC) provides a promising technique to enhance the computation capability for mobile users.


SpellGCN: Incorporating Phonological and Visual Similarities into Language Models for Chinese Spelling Check

1 code implementation ACL 2020 Xingyi Cheng, Weidi Xu, Kunlong Chen, Shaohua Jiang, Feng Wang, Taifeng Wang, Wei Chu, Yuan Qi

This paper proposes to incorporate phonological and visual similarity knowledge into language models for CSC via a specialized graph convolutional network (SpellGCN).

COVID-19 Docking Server: A meta server for docking small molecules, peptides and antibodies against potential targets of COVID-19

no code implementations29 Feb 2020 Ren Kong, Guangbo Yang, Rui Xue, Ming Liu, Feng Wang, Jianping Hu, Xiaoqiang Guo, Shan Chang

Motivation: The coronavirus disease 2019 (COVID-19) caused by a new type of coronavirus has been emerging from China and led to thousands of death globally since December 2019.

Drug Discovery Platform

A Discriminative Learned CNN Embedding for Remote Sensing Image Scene Classification

no code implementations28 Nov 2019 Wen Wang, Lijun Du, Yinxing Gao, Yanzhou Su, Feng Wang, Jian Cheng

Concretely, for remote sensing image scene classification, we would like to map images from the same scene to feature vectors that are close, and map images from different scenes to feature vectors that are widely separated.

General Classification Metric Learning +1

AirFace: Lightweight and Efficient Model for Face Recognition

1 code implementation29 Jul 2019 Xianyang Li, Feng Wang, Qinghao Hu, Cong Leng

With the development of convolutional neural network, significant progress has been made in computer vision tasks.

Face Recognition

Self-Attention Aligner: A Latency-Control End-to-End Model for ASR Using Self-Attention Network and Chunk-Hopping

no code implementations18 Feb 2019 Linhao Dong, Feng Wang, Bo Xu

Experiments on two Mandarin ASR datasets show the replacement of RNNs by the self-attention networks yields a 8. 4%-10. 2% relative character error rate (CER) reduction.

Language Modelling Speech Recognition

Multi-scale Convolutional Neural Networks for Inverse Problems

1 code implementation29 Oct 2018 Feng Wang, Alberto Eljarrat, Johannes Müller, Trond Henninen, Erni Rolf, Christoph Koch

We propose a novel neural network architecture highlighting fast convergence as a generic solution addressing image(s)-to-image(s) inverse problems of different domains.

Computational Physics Materials Science

Dual Ask-Answer Network for Machine Reading Comprehension

1 code implementation6 Sep 2018 Han Xiao, Feng Wang, Jian-Feng Yan, Jingyao Zheng

The task of question answering or question generation aims to infer an answer or a question when given the counterpart based on context.

Machine Reading Comprehension Question Answering +1

Semi-Supervised Disfluency Detection

no code implementations COLING 2018 Feng Wang, Wei Chen, Zhen Yang, Qianqian Dong, Shuang Xu, Bo Xu

While the disfluency detection has achieved notable success in the past years, it still severely suffers from the data scarcity.

Machine Translation Question Answering

Unsupervised Neural Machine Translation with Weight Sharing

1 code implementation ACL 2018 Zhen Yang, Wei Chen, Feng Wang, Bo Xu

Unsupervised neural machine translation (NMT) is a recently proposed approach for machine translation which aims to train the model without using any labeled data.

Machine Translation

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

A Subpixel Registration Algorithm for Low PSNR Images

no code implementations31 Mar 2018 Song Feng, Linhua Deng, Guofeng Shu, Feng Wang, Hui Deng, Kaifan Ji

This paper presents a fast algorithm for obtaining high-accuracy subpixel translation of low PSNR images.

Additive Margin Softmax for Face Verification

7 code implementations17 Jan 2018 Feng Wang, Weiyang Liu, Haijun Liu, Jian Cheng

In this work, we introduce a novel additive angular margin for the Softmax loss, which is intuitively appealing and more interpretable than the existing works.

Face Verification Metric Learning

NormFace: L2 Hypersphere Embedding for Face Verification

3 code implementations21 Apr 2017 Feng Wang, Xiang Xiang, Jian Cheng, Alan L. Yuille

We show that both strategies, and small variants, consistently improve performance by between 0. 2% to 0. 4% on the LFW dataset based on two models.

Face Verification Metric Learning

On Consistency of Graph-based Semi-supervised Learning

no code implementations17 Mar 2017 Chengan Du, Yunpeng Zhao, Feng Wang

We prove the consistency of graph-based learning in the case that the estimated scores are enforced to be equal to the observed responses for the labeled data.

Improving Neural Machine Translation with Conditional Sequence Generative Adversarial Nets

2 code implementations NAACL 2018 Zhen Yang, Wei Chen, Feng Wang, Bo Xu

During training, both the dynamic discriminator and the static BLEU objective are employed to evaluate the generated sentences and feedback the evaluations to guide the learning of the generator.

Machine Translation

DALiuGE: A Graph Execution Framework for Harnessing the Astronomical Data Deluge

2 code implementations24 Feb 2017 Chen Wu, Rodrigo Tobar, Kevin Vinsen, Andreas Wicenec, Dave Pallot, Baoqiang Lao, Ruonan Wang, Tao An, Mark Boulton, Ian Cooper, Richard Dodson, Markus Dolensky, Ying Mei, Feng Wang

The Data Activated Liu Graph Engine - DALiuGE - is an execution framework for processing large astronomical datasets at a scale required by the Square Kilometre Array Phase 1 (SKA1).

Distributed, Parallel, and Cluster Computing Instrumentation and Detectors

MAT: A Multimodal Attentive Translator for Image Captioning

no code implementations18 Feb 2017 Chang Liu, Fuchun Sun, Changhu Wang, Feng Wang, Alan Yuille

In this way, the sequential representation of an image can be naturally translated to a sequence of words, as the target sequence of the RNN model.

Image Captioning Machine Translation

A Character-Aware Encoder for Neural Machine Translation

no code implementations COLING 2016 Zhen Yang, Wei Chen, Feng Wang, Bo Xu

This article proposes a novel character-aware neural machine translation (NMT) model that views the input sequences as sequences of characters rather than words.

Machine Translation

DeepPicker: a Deep Learning Approach for Fully Automated Particle Picking in Cryo-EM

1 code implementation6 May 2016 Feng Wang, Huichao Gong, Gaochao liu, Meijing Li, Chuangye Yan, Tian Xia, Xueming Li, Jianyang Zeng

Particle picking is a time-consuming step in single-particle analysis and often requires significant interventions from users, which has become a bottleneck for future automated electron cryo-microscopy (cryo-EM).

Survey on the attention based RNN model and its applications in computer vision

no code implementations25 Jan 2016 Feng Wang, David M. J. Tax

In this survey, we introduce some attention based RNN models which can focus on different parts of the input for each output item, in order to explore and take advantage of the implicit relations between the input and the output items.

Qualitative detection of oil adulteration with machine learning approaches

no code implementations14 May 2013 Xiao-Bo Jin, Qiang Lu, Feng Wang, Quan-gong Huo

The study focused on the machine learning analysis approaches to identify the adulteration of 9 kinds of edible oil qualitatively and answered the following three questions: Is the oil sample adulterant?

Multi-Label Learning Quantization

Cannot find the paper you are looking for? You can Submit a new open access paper.