Search Results for author: Feng Wang

Found 98 papers, 47 papers with code

A Timestep aware Sentence Embedding and Acme Coverage for Brief but Informative Title Generation

1 code implementation Findings (NAACL) 2022 Quanbin Wang, Xiexiong Lin, Feng Wang

The title generation task that summarizes article content in recapitulatory words relies heavily on utilizing the corresponding key context.

Sentence Sentence Embedding +1

An Integrated Data Processing Framework for Pretraining Foundation Models

1 code implementation26 Feb 2024 Yiding Sun, Feng Wang, Yutao Zhu, Wayne Xin Zhao, Jiaxin Mao

The ability of the foundation models heavily relies on large-scale, diverse, and high-quality pretraining data.

Low-Dose CT Reconstruction Using Dataset-free Learning

1 code implementation17 Feb 2024 Feng Wang, Renfang Wang, Bo Yang, Hong Qiu

Although supervised-deep-learning-based reconstruction methods have demonstrated superior performance compared to conventional model-driven reconstruction algorithms, they require collecting massive pairs of low-dose and norm-dose CT images for neural network training, which limits their practical application in LDCT imaging.

Seismic Traveltime Tomography with Label-free Learning

1 code implementation1 Feb 2024 Feng Wang, Bo Yang, Renfang Wang, Hong Qiu

To avoid generating labeled samples, we propose a novel method by integrating deep learning and dictionary learning to enhance the VMs with low resolution by using the traditional tomography-least square method (LSQR).

Dictionary Learning

City Scene Super-Resolution via Geometric Error Minimization

1 code implementation14 Jan 2024 Zhengyang Lu, Feng Wang

Super-resolution techniques are crucial in improving image granularity, particularly in complex urban scenes, where preserving geometric structures is vital for data-informed cultural heritage applications.

Super-Resolution

Efficient Deformable ConvNets: Rethinking Dynamic and Sparse Operator for Vision Applications

1 code implementation11 Jan 2024 Yuwen Xiong, Zhiqi Li, Yuntao Chen, Feng Wang, Xizhou Zhu, Jiapeng Luo, Wenhai Wang, Tong Lu, Hongsheng Li, Yu Qiao, Lewei Lu, Jie zhou, Jifeng Dai

The advancements in speed and efficiency of DCNv4, combined with its robust performance across diverse vision tasks, show its potential as a foundational building block for future vision models.

Image Classification Image Generation +1

LightHouse: A Survey of AGI Hallucination

1 code implementation8 Jan 2024 Feng Wang

With the development of artificial intelligence, large-scale models have become increasingly intelligent.

Hallucination

ClassWise-SAM-Adapter: Parameter Efficient Fine-tuning Adapts Segment Anything to SAR Domain for Semantic Segmentation

1 code implementation4 Jan 2024 Xinyang Pu, Hecheng Jia, Linghao Zheng, Feng Wang, Feng Xu

Compared to conventional state-of-the-art semantic segmentation algorithms by extensive experiments, CWSAM showcases enhanced performance with fewer computing resources, highlighting the potential of leveraging foundational models like SAM for specific downstream tasks in the SAR domain.

Segmentation Semantic Segmentation

QGFace: Quality-Guided Joint Training For Mixed-Quality Face Recognition

no code implementations29 Dec 2023 Youzhe Song, Feng Wang

We propose a novel quality-guided joint training approach for mixed-quality face recognition, which could simultaneously learn the images of different qualities with a single encoder.

Contrastive Learning Face Recognition

MM-TTS: Multi-modal Prompt based Style Transfer for Expressive Text-to-Speech Synthesis

no code implementations17 Dec 2023 Wenhao Guan, Yishuang Li, Tao Li, Hukai Huang, Feng Wang, Jiayan Lin, Lingyan Huang, Lin Li, Qingyang Hong

The challenges of modeling such a multi-modal style controllable TTS mainly lie in two aspects:1)aligning the multi-modal information into a unified style space to enable the input of arbitrary modality as the style prompt in a single system, and 2)efficiently transferring the unified style representation into the given text content, thereby empowering the ability to generate prompt style-related voice.

Speech Synthesis Style Transfer +1

SCLIP: Rethinking Self-Attention for Dense Vision-Language Inference

1 code implementation4 Dec 2023 Feng Wang, Jieru Mei, Alan Yuille

Specifically, we replace the traditional self-attention block of CLIP vision encoder's last layer by our CSA module and reuse its pretrained projection matrices of query, key, and value, leading to a training-free adaptation approach for CLIP's zero-shot semantic segmentation.

Segmentation Semantic Segmentation +2

Robust Network Slicing: Multi-Agent Policies, Adversarial Attacks, and Defensive Strategies

no code implementations19 Nov 2023 Feng Wang, M. Cenk Gursoy, Senem Velipasalar

We evaluate the performance of the proposed policy ensemble algorithm by applying on the network slicing agents and the jammer agent in simulations to show its effectiveness.

Maximum Knowledge Orthogonality Reconstruction with Gradients in Federated Learning

1 code implementation30 Oct 2023 Feng Wang, Senem Velipasalar, M. Cenk Gursoy

MKOR only requires the server to send secretly modified parameters to clients and can efficiently and inconspicuously reconstruct the input images from clients' gradient updates.

Federated Learning

Dual Prompt Tuning for Domain-Aware Federated Learning

no code implementations4 Oct 2023 Guoyizhe Wei, Feng Wang, Anshul Shah, Rama Chellappa

Federated learning is a distributed machine learning paradigm that allows multiple clients to collaboratively train a shared model with their local data.

Domain Adaptation Federated Learning +1

Text-to-3D using Gaussian Splatting

1 code implementation28 Sep 2023 Zilong Chen, Feng Wang, Huaping Liu

In this stage, we increase the number of Gaussians by compactness-based densification to enhance continuity and improve fidelity.

Text to 3D

mixed attention auto encoder for multi-class industrial anomaly detection

no code implementations22 Sep 2023 Jiangqi Liu, Feng Wang

Most existing methods for unsupervised industrial anomaly detection train a separate model for each object category.

Anomaly Detection

PolarRec: Radio Interferometric Data Reconstruction with Polar Coordinate Representation

no code implementations28 Aug 2023 Ruoqi Wang, Zhuoyang Chen, JiaYi Zhu, Qiong Luo, Feng Wang

This representation matches the way in which radio telescopes observe a celestial area as the Earth rotates.

Astronomy

Optimizing Cache Content Placement in Integrated Terrestrial and Non-terrestrial Networks

no code implementations10 Aug 2023 Feng Wang, Giovanni Geraci, Tony Q. S. Quek

Non-terrestrial networks (NTN) offer potential for efficient content broadcast in remote regions, thereby extending the reach of digital services.

FSD V2: Improving Fully Sparse 3D Object Detection with Virtual Voxels

2 code implementations7 Aug 2023 Lue Fan, Feng Wang, Naiyan Wang, Zhaoxiang Zhang

Consequently, we develop a suite of components to complement the virtual voxel concept, including a virtual voxel encoder, a virtual voxel mixer, and a virtual voxel assignment strategy.

3D Object Detection Clustering +4

SAR-NeRF: Neural Radiance Fields for Synthetic Aperture Radar Multi-View Representation

no code implementations11 Jul 2023 Zhengxin Lei, Feng Xu, Jiangtao Wei, Feng Cai, Feng Wang, Ya-Qiu Jin

SAR images are highly sensitive to observation configurations, and they exhibit significant variations across different viewing angles, making it challenging to represent and learn their anisotropic features.

Few-Shot Learning Image Generation

Frame Fusion with Vehicle Motion Prediction for 3D Object Detection

no code implementations19 Jun 2023 Xirui Li, Feng Wang, Naiyan Wang, Chao Ma

To ''forward'' frames, we use vehicle motion models to estimate the future pose of the bounding boxes.

3D Object Detection Future prediction +3

A Conditional Denoising Diffusion Probabilistic Model for Radio Interferometric Image Reconstruction

1 code implementation16 May 2023 Ruoqi Wang, Zhuoyang Chen, Qiong Luo, Feng Wang

In radio astronomy, signals from radio telescopes are transformed into images of observed celestial objects, or sources.

Astronomy Denoising +2

Once Detected, Never Lost: Surpassing Human Performance in Offline LiDAR based 3D Object Detection

2 code implementations ICCV 2023 Lue Fan, Yuxue Yang, Yiming Mao, Feng Wang, Yuntao Chen, Naiyan Wang, Zhaoxiang Zhang

Drawing inspiration from this, we propose a high-performance offline detector in a track-centric perspective instead of the conventional object-centric perspective.

3D Object Detection Object +1

CoReFace: Sample-Guided Contrastive Regularization for Deep Face Recognition

no code implementations23 Apr 2023 Youzhe Song, Feng Wang

To alleviate the above problem, we propose a novel approach namely Contrastive Regularization for Face recognition (CoReFace) to apply image-level regularization in feature representation learning.

Contrastive Learning Face Recognition +1

Action Pick-up in Dynamic Action Space Reinforcement Learning

no code implementations3 Apr 2023 Jiaqi Ye, XiaoDong Li, Pangjing Wu, Feng Wang

Then, we design two different AP methods: frequency-based global method and state clustering-based local method, based on the prior optimal policy.

reinforcement-learning

Semantic-Guided Generative Image Augmentation Method with Diffusion Models for Image Classification

no code implementations4 Feb 2023 Bohan Li, Xiao Xu, Xinghao Wang, Yutai Hou, Yunlong Feng, Feng Wang, Xuanliang Zhang, Qingfu Zhu, Wanxiang Che

In contrast, generative methods bring more image diversity in the augmented images but may not preserve semantic consistency, thus incorrectly changing the essential semantics of the original image.

Image Augmentation Image Classification +1

Super Sparse 3D Object Detection

2 code implementations5 Jan 2023 Lue Fan, Yuxue Yang, Feng Wang, Naiyan Wang, Zhaoxiang Zhang

To enable efficient long-range detection, we first propose a fully sparse object detector termed FSD.

3D Object Detection Autonomous Driving +2

Mixed Neural Voxels for Fast Multi-view Video Synthesis

1 code implementation ICCV 2023 Feng Wang, Sinan Tan, Xinghang Li, Zeyue Tian, Yafei Song, Huaping Liu

In this paper, we present a novel method named MixVoxels to better represent the dynamic scenes with fast training speed and competitive rendering qualities.

Towards A Unified Conformer Structure: from ASR to ASV Task

1 code implementation14 Nov 2022 Dexin Liao, Tao Jiang, Feng Wang, Lin Li, Qingyang Hong

Transformer has achieved extraordinary performance in Natural Language Processing and Computer Vision tasks thanks to its powerful self-attention mechanism, and its variant Conformer has become a state-of-the-art architecture in the field of Automatic Speech Recognition (ASR).

Automatic Speech Recognition Automatic Speech Recognition (ASR) +3

DART: Articulated Hand Model with Diverse Accessories and Rich Textures

1 code implementation14 Oct 2022 Daiheng Gao, Yuliang Xiu, Kailin Li, Lixin Yang, Feng Wang, Peng Zhang, Bang Zhang, Cewu Lu, Ping Tan

Unity GUI is also provided to generate synthetic hand data with user-defined settings, e. g., pose, camera, background, lighting, textures, and accessories.

Hand Pose Estimation Unity

Learning to Decompose Visual Features with Latent Textual Prompts

no code implementations9 Oct 2022 Feng Wang, Manling Li, Xudong Lin, Hairong Lv, Alexander G. Schwing, Heng Ji

Recent advances in pre-training vision-language models like CLIP have shown great potential in learning transferable visual representations.

Retrieval

Communication-Efficient and Privacy-Preserving Feature-based Federated Transfer Learning

1 code implementation12 Sep 2022 Feng Wang, M. Cenk Gursoy, Senem Velipasalar

In order to improve the communication efficiency, we in this paper propose the feature-based federated transfer learning as an innovative approach to reduce the uplink payload by more than five orders of magnitude compared to that of existing approaches.

Federated Learning Image Classification +2

DUET: A Tuning-Free Device-Cloud Collaborative Parameters Generation Framework for Efficient Device Model Generalization

1 code implementation12 Sep 2022 Zheqi Lv, Wenqiao Zhang, Shengyu Zhang, Kun Kuang, Feng Wang, Yongwei Wang, Zhengyu Chen, Tao Shen, Hongxia Yang, Beng Chin Ooi, Fei Wu

DUET is deployed on a powerful cloud server that only requires the low cost of forwarding propagation and low time delay of data transmission between the device and the cloud.

Device-Cloud Collaboration Domain Adaptation +3

Personalizing Intervened Network for Long-tailed Sequential User Behavior Modeling

no code implementations19 Aug 2022 Zheqi Lv, Feng Wang, Shengyu Zhang, Kun Kuang, Hongxia Yang, Fei Wu

In this paper, we propose a novel approach that significantly improves the recommendation performance of the tail users while achieving at least comparable performance for the head users over the base model.

Recommendation Systems

Fully Sparse 3D Object Detection

4 code implementations20 Jul 2022 Lue Fan, Feng Wang, Naiyan Wang, Zhaoxiang Zhang

To enable efficient long-range LiDAR-based object detection, we build a fully sparse 3D object detector (FSD).

3D Object Detection Autonomous Driving +1

Device-Cloud Collaborative Recommendation via Meta Controller

no code implementations7 Jul 2022 Jiangchao Yao, Feng Wang, Xichen Ding, Shaohu Chen, Bo Han, Jingren Zhou, Hongxia Yang

To overcome this issue, we propose a meta controller to dynamically manage the collaboration between the on-device recommender and the cloud-based recommender, and introduce a novel efficient sample construction from the causal perspective to solve the dataset absence issue of meta controller.

counterfactual Device-Cloud Collaboration

Towards Understanding and Mitigating Audio Adversarial Examples for Speaker Recognition

1 code implementation7 Jun 2022 Guangke Chen, Zhe Zhao, Fu Song, Sen Chen, Lingling Fan, Feng Wang, Jiashui Wang

According to the characteristic of SRSs, we present 22 diverse transformations and thoroughly evaluate them using 7 recent promising adversarial attacks (4 white-box and 3 black-box) on speaker recognition.

Speaker Recognition speech-recognition +1

CP2: Copy-Paste Contrastive Pretraining for Semantic Segmentation

1 code implementation22 Mar 2022 Feng Wang, Huiyu Wang, Chen Wei, Alan Yuille, Wei Shen

Recent advances in self-supervised contrastive learning yield good image-level representation, which favors classification tasks but usually neglects pixel-level detailed information, leading to unsatisfactory transfer performance to dense prediction tasks such as semantic segmentation.

Contrastive Learning Representation Learning +2

DePS: An improved deep learning model for de novo peptide sequencing

no code implementations16 Mar 2022 Cheng Ge, Yi Lu, Jia Qu, Liangxu Xie, Feng Wang, Hong Zhang, Ren Kong, Shan Chang

De novo peptide sequencing from mass spectrometry data is an important method for protein identification.

de novo peptide sequencing

TECM: Transfer Learning-based Evidential C-Means Clustering

no code implementations19 Dec 2021 Lianmeng Jiao, Feng Wang, Zhun-Ga Liu, Quan Pan

As a representative evidential clustering algorithm, evidential c-means (ECM) provides a deeper insight into the data by allowing an object to belong not only to a single class, but also to any subset of a collection of classes, which generalizes the hard, fuzzy, possibilistic, and rough partitions.

Clustering Image Segmentation +2

Tracing Text Provenance via Context-Aware Lexical Substitution

no code implementations15 Dec 2021 Xi Yang, Jie Zhang, Kejiang Chen, Weiming Zhang, Zehua Ma, Feng Wang, Nenghai Yu

Tracing text provenance can help claim the ownership of text content or identify the malicious users who distribute misleading content like machine-generated fake news.

Optical Character Recognition (OCR) Sentence

Embracing Single Stride 3D Object Detector with Sparse Transformer

2 code implementations CVPR 2022 Lue Fan, Ziqi Pang, Tianyuan Zhang, Yu-Xiong Wang, Hang Zhao, Feng Wang, Naiyan Wang, Zhaoxiang Zhang

In LiDAR-based 3D object detection for autonomous driving, the ratio of the object size to input scene size is significantly smaller compared to 2D detection cases.

3D Object Detection Autonomous Driving +3

Enhanced Fast Boolean Matching based on Sensitivity Signatures Pruning

no code implementations11 Nov 2021 Jiaxi Zhang, Liwei Ni, Shenggen Zheng, Hao liu, Xiangfu Zou, Feng Wang, Guojie Luo

In this paper, we introduce Boolean sensitivity into Boolean matching and design several sensitivity-related signatures to enhance fast Boolean matching.

Edge-Cloud Polarization and Collaboration: A Comprehensive Survey for AI

1 code implementation11 Nov 2021 Jiangchao Yao, Shengyu Zhang, Yang Yao, Feng Wang, Jianxin Ma, Jianwei Zhang, Yunfei Chu, Luo Ji, Kunyang Jia, Tao Shen, Anpeng Wu, Fengda Zhang, Ziqi Tan, Kun Kuang, Chao Wu, Fei Wu, Jingren Zhou, Hongxia Yang

However, edge computing, especially edge and cloud collaborative computing, are still in its infancy to announce their success due to the resource-constrained IoT scenarios with very limited algorithms deployed.

Cloud Computing Edge-computing

Self-supervised denoising for massive noisy images

no code implementations18 Oct 2021 Feng Wang, Trond R. Henninen, Debora Keller, Rolf Erni

We propose an effective deep learning model for signal reconstruction, which requires no signal prior, no noise model calibration, and no clean samples.

Astronomy Denoising

Boost Neural Networks by Checkpoints

no code implementations NeurIPS 2021 Feng Wang, Guoyizhe Wei, Qiao Liu, Jinxiang Ou, Xian Wei, Hairong Lv

In the experiments, it yields up to 5. 02% higher accuracy over single EfficientNet-B0 on the imbalanced datasets.

MC$^2$-SF: Slow-Fast Learning for Mobile-Cloud Collaborative Recommendation

no code implementations25 Sep 2021 Zeyuan Chen, Jiangchao Yao, Feng Wang, Kunyang Jia, Bo Han, Wei zhang, Hongxia Yang

With the hardware development of mobile devices, it is possible to build the recommendation models on the mobile side to utilize the fine-grained features and the real-time feedbacks.

YOLOX: Exceeding YOLO Series in 2021

36 code implementations18 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 Real-Time Object Detection

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.

reinforcement-learning Reinforcement Learning (RL)

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

1 code implementation18 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 object-detection +2

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

1 code implementation ICCV 2021 Lue Fan, Xuan Xiong, Feng Wang, Naiyan Wang, Zhaoxiang Zhang

We first analyze the existing range-view-based methods and find two issues overlooked by previous works: 1) the scale variation between nearby and far away objects; 2) the inconsistency between the 2D range image coordinates used in feature extraction and the 3D Cartesian coordinates used in output.

3D Object Detection object-detection +2

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 Representation 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 Representation Learning +1

Decision-making at Unsignalized Intersection for Autonomous Vehicles: Left-turn Maneuver with Deep Reinforcement Learning

no code implementations14 Aug 2020 Feng Wang, Dongjie Shi, Teng Liu, Xiaolin Tang

Decision-making module enables autonomous vehicles to reach appropriate maneuvers in the complex urban environments, especially the intersection situations.

Autonomous Vehicles Decision Making +3

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 reinforcement-learning +1

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.

Edge-computing Management +1

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

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.

Classification General Classification +2

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.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +2

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 +2

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.

Generative Adversarial Network Machine Translation +1

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 NMT +2

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.

Translation

Additive Margin Softmax for Face Verification

9 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

3 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 NMT +2

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 +1

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 NMT +1

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.

Implicit Relations

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?

BIG-bench Machine Learning Multi-Label Learning +1

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