Search Results for author: Yong Wang

Found 46 papers, 8 papers with code

GestureLens: Visual Analysis of Gestures in Presentation Videos

no code implementations19 Apr 2022 Haipeng Zeng, Xingbo Wang, Yong Wang, Aoyu Wu, Ting Chuen Pong, Huamin Qu

There lacks an efficient method to help users conduct gesture exploration, which is challenging due to the intrinsically temporal evolution of gestures and their complex correlation to speech content.

Graph-based Approximate NN Search: A Revisit

no code implementations2 Apr 2022 Hui Wang, Yong Wang, Wan-Lei Zhao

For the graph construction, a two-stage graph diversification scheme is proposed, which makes a good trade-off between the efficiency and reachability for the search procedure that builds upon it.

graph construction Information Retrieval

A Novel Anomaly Detection Method for Multimodal WSN Data Flow via a Dynamic Graph Neural Network

no code implementations19 Feb 2022 Qinghao Zhang, Miao Ye, Hongbing Qiu, Yong Wang, Xiaofang Deng

Anomaly detection is widely used to distinguish system anomalies by analyzing the temporal and spatial features of wireless sensor network (WSN) data streams; it is one of critical technique that ensures the reliability of WSNs.

Anomaly Detection Time Series

Interactive Data Analysis with Next-step Natural Language Query Recommendation

no code implementations13 Jan 2022 Xingbo Wang, Furui Cheng, Yong Wang, Ke Xu, Jiang Long, Hong Lu, Huamin Qu

Natural language interfaces (NLIs) provide users with a convenient way to interactively analyze data through natural language queries.

StyleSwin: Transformer-based GAN for High-resolution Image Generation

1 code implementation arXiv 2021 BoWen Zhang, Shuyang Gu, Bo Zhang, Jianmin Bao, Dong Chen, Fang Wen, Yong Wang, Baining Guo

To this end, we believe that local attention is crucial to strike the balance between computational efficiency and modeling capacity.

Image Generation

NumGPT: Improving Numeracy Ability of Generative Pre-trained Models

no code implementations7 Sep 2021 Zhihua Jin, Xin Jiang, Xingbo Wang, Qun Liu, Yong Wang, Xiaozhe Ren, Huamin Qu

However, those models do not consider the numerical properties of numbers and cannot perform robustly on numerical reasoning tasks (e. g., math word problems and measurement estimation).

DeHumor: Visual Analytics for Decomposing Humor

no code implementations18 Jul 2021 Xingbo Wang, Yao Ming, Tongshuang Wu, Haipeng Zeng, Yong Wang, Huamin Qu

Despite being a critical communication skill, grasping humor is challenging -- a successful use of humor requires a mixture of both engaging content build-up and an appropriate vocal delivery (e. g., pause).

M2Lens: Visualizing and Explaining Multimodal Models for Sentiment Analysis

no code implementations17 Jul 2021 Xingbo Wang, Jianben He, Zhihua Jin, Muqiao Yang, Yong Wang, Huamin Qu

Much research focuses on modeling the complex intra- and inter-modal interactions between different communication channels.

Multimodal Sentiment Analysis

Secure Process Algebra

no code implementations13 Jan 2021 Yong Wang

Based on our previous work on truly concurrent process algebras APTC, we use it to verify the security protocols.

Logic in Computer Science Cryptography and Security

Affine Ricci solitons of three-dimensional Lorentzian Lie groups

no code implementations21 Dec 2020 Yong Wang

In this paper, we classify affine Ricci solitons associated to canonical connections and Kobayashi-Nomizu connections and perturbed canonical connections and perturbed Kobayashi-Nomizu connections on three-dimensional Lorentzian Lie groups with some product structure.

Differential Geometry 53C40, 53C42

MA-Unet: An improved version of Unet based on multi-scale and attention mechanism for medical image segmentation

no code implementations20 Dec 2020 Yutong Cai, Yong Wang

In this paper, we try to eliminate semantic ambiguity in skip connection operations by adding attention gates (AGs), and use attention mechanisms to combine local features with their corresponding global dependencies, explicitly model the dependencies between channels and use multi-scale predictive fusion to utilize global information at different scales.

Medical Image Segmentation Semantic Segmentation

Frequency Separation based Adaptive Feedforward Control for Rejecting Wideband Vibration with Application to Hard Disk Drives

no code implementations9 Dec 2020 Jinwen Pan, Zhi Chen, Yong Wang, Roberto Horowitz

Starting from the first region, the feedforward control parameters are learned simultaneously with the low order plant model in the same region and then moves to the next region until all the regions are performed.

GNNLens: A Visual Analytics Approach for Prediction Error Diagnosis of Graph Neural Networks

no code implementations22 Nov 2020 Zhihua Jin, Yong Wang, Qianwen Wang, Yao Ming, Tengfei Ma, Huamin Qu

Two case studies and interviews with domain experts demonstrate the effectiveness of GNNLens in facilitating the understanding of GNN models and their errors.

Node Classification

On the Sparsity of Neural Machine Translation Models

no code implementations EMNLP 2020 Yong Wang, Longyue Wang, Victor O. K. Li, Zhaopeng Tu

Modern neural machine translation (NMT) models employ a large number of parameters, which leads to serious over-parameterization and typically causes the underutilization of computational resources.

Machine Translation Translation

Bidirectional Mapping Generative Adversarial Networks for Brain MR to PET Synthesis

no code implementations8 Aug 2020 Shengye Hu, Baiying Lei, Yong Wang, Zhiguang Feng, Yanyan Shen, Shuqiang Wang

Fusing multi-modality medical images, such as MR and PET, can provide various anatomical or functional information about human body.

Peer-inspired Student Performance Prediction in Interactive Online Question Pools with Graph Neural Network

no code implementations4 Aug 2020 Haotian Li, Huan Wei, Yong Wang, Yangqiu Song, Huamin Qu

Specifically, we model the relationship between students and questions using student interactions to construct the student-interaction-question network and further present a new GNN model, called R^2GCN, which intrinsically works for the heterogeneous networks, to achieve generalizable student performance prediction in interactive online question pools.

online learning

Visual Analysis of Discrimination in Machine Learning

no code implementations30 Jul 2020 Qianwen Wang, Zhenhua Xu, Zhutian Chen, Yong Wang, Shixia Liu, Huamin Qu

The growing use of automated decision-making in critical applications, such as crime prediction and college admission, has raised questions about fairness in machine learning.

Crime Prediction Decision Making +1

A Review on Computational Intelligence Techniques in Cloud and Edge Computing

no code implementations27 Jul 2020 Muhammad Asim, Yong Wang, Kezhi Wang, Pei-Qiu Huang

These optimization problems usually have complex properties, such as non-convexity and NP-hardness, which may not be addressed by the traditional convex optimization-based solutions.

Edge-computing

Unsupervised Learning of Depth, Optical Flow and Pose with Occlusion from 3D Geometry

1 code implementation arXiv 2020 Guangming Wang, Chi Zhang, Hesheng Wang, Jingchuan Wang, Yong Wang, Xinlei Wang

In the occluded region, as depth and camera motion can provide more reliable motion estimation, they can be used to instruct unsupervised learning of optical flow.

Autonomous Driving Depth And Camera Motion +3

VoiceCoach: Interactive Evidence-based Training for Voice Modulation Skills in Public Speaking

1 code implementation22 Jan 2020 Xingbo Wang, Haipeng Zeng, Yong Wang, Aoyu Wu, Zhida Sun, Xiaojuan Ma, Huamin Qu

The modulation of voice properties, such as pitch, volume, and speed, is crucial for delivering a successful public speech.

Go From the General to the Particular: Multi-Domain Translation with Domain Transformation Networks

2 code implementations22 Nov 2019 Yong Wang, Long-Yue Wang, Shuming Shi, Victor O. K. Li, Zhaopeng Tu

The key challenge of multi-domain translation lies in simultaneously encoding both the general knowledge shared across domains and the particular knowledge distinctive to each domain in a unified model.

Knowledge Distillation Machine Translation +1

Visual Analytics of Student Learning Behaviors on K-12 Mathematics E-learning Platforms

no code implementations7 Sep 2019 Meng Xia, Huan Wei, Min Xu, Leo Yu Ho Lo, Yong Wang, Rong Zhang, Huamin Qu

With increasing popularity in online learning, a surge of E-learning platforms have emerged to facilitate education opportunities for k-12 (from kindergarten to 12th grade) students and with this, a wealth of information on their learning logs are getting recorded.

online learning

EmoCo: Visual Analysis of Emotion Coherence in Presentation Videos

no code implementations29 Jul 2019 Haipeng Zeng, Xingbo Wang, Aoyu Wu, Yong Wang, Quan Li, Alex Endert, Huamin Qu

Our visualization system features a channel coherence view and a sentence clustering view that together enable users to obtain a quick overview of emotion coherence and its temporal evolution.

DeepDrawing: A Deep Learning Approach to Graph Drawing

no code implementations17 Jul 2019 Yong Wang, Zhihua Jin, Qianwen Wang, Weiwei Cui, Tengfei Ma, Huamin Qu

Node-link diagrams are widely used to facilitate network explorations.

Improved Zero-shot Neural Machine Translation via Ignoring Spurious Correlations

no code implementations ACL 2019 Jiatao Gu, Yong Wang, Kyunghyun Cho, Victor O. K. Li

Zero-shot translation, translating between language pairs on which a Neural Machine Translation (NMT) system has never been trained, is an emergent property when training the system in multilingual settings.

Machine Translation Translation

Convolutional neural networks with fractional order gradient method

1 code implementation14 May 2019 Dian Sheng, Yiheng Wei, Yuquan Chen, Yong Wang

This paper proposes a fractional order gradient method for the backward propagation of convolutional neural networks.

Broadband Analog Aggregation for Low-Latency Federated Edge Learning (Extended Version)

no code implementations30 Dec 2018 Guangxu Zhu, Yong Wang, Kaibin Huang

To leverage the data and resources, a new machine learning paradigm, called edge learning, has emerged where learning algorithms are deployed at the edge for providing fast and intelligent services to mobile users.

SPI-Optimizer: an integral-Separated PI Controller for Stochastic Optimization

2 code implementations29 Dec 2018 Dan Wang, Mengqi Ji, Yong Wang, Haoqian Wang, Lu Fang

Inspired by the conditional integration idea in classical control society, we propose SPI-Optimizer, an integral-Separated PI controller based optimizer WITHOUT introducing extra hyperparameter.

Stochastic Optimization

Structured Parallel Programming

no code implementations31 Oct 2018 Yong Wang

Based on our previous work on algebraic laws for true concurrency, we design a structured parallel programming language for true concurrency called PPL.

Logic in Computer Science

Meta-Learning for Low-Resource Neural Machine Translation

no code implementations EMNLP 2018 Jiatao Gu, Yong Wang, Yun Chen, Kyunghyun Cho, Victor O. K. Li

We frame low-resource translation as a meta-learning problem, and we learn to adapt to low-resource languages based on multilingual high-resource language tasks.

Frame Low-Resource Neural Machine Translation +3

Evaluating the Readability of Force Directed Graph Layouts: A Deep Learning Approach

no code implementations2 Aug 2018 Hammad Haleem, Yong Wang, Abishek Puri, Sahil Wadhwa, Huamin Qu

In this paper, we present a novel deep learning-based approach to evaluate the readability of graph layouts by directly using graph images.

Multi-scale prediction for robust hand detection and classification

no code implementations23 Apr 2018 Ding Lu, Yong Wang, Robert Laganiere, Xinbin Luo, Shan Fu

In this paper, we present a multi-scale Fully Convolutional Networks (MSP-RFCN) to robustly detect and classify human hands under various challenging conditions.

Classification General Classification +1

A Many-Objective Evolutionary Algorithm with Angle-Based Selection and Shift-Based Density Estimation

no code implementations30 Sep 2017 Zhi-Zhong Liu, Yong Wang, Pei-Qiu Huang

Specifically, the former is devised to find a pair of individuals with the minimum vector angle, which means that these two individuals share the most similar search direction.

Density Estimation

Search Engine Guided Non-Parametric Neural Machine Translation

no code implementations20 May 2017 Jiatao Gu, Yong Wang, Kyunghyun Cho, Victor O. K. Li

In this paper, we extend an attention-based neural machine translation (NMT) model by allowing it to access an entire training set of parallel sentence pairs even after training.

Machine Translation Translation

An Adaptive Framework to Tune the Coordinate Systems in Evolutionary Algorithms

no code implementations18 Mar 2017 Zhi-Zhong Liu, Yong Wang, Shengxiang Yang, Ke Tang

In the evolutionary computation research community, the performance of most evolutionary algorithms (EAs) depends strongly on their implemented coordinate system.

Survey of modern Fault Diagnosis methods in networks

no code implementations6 Feb 2017 Zi Jian Yang, Yong Wang

With the advent of modern computer networks, fault diagnosis has been a focus of research activity.

Challenge of Multi-Camera Tracking

no code implementations6 Feb 2017 Yong Wang, Ke Lu

Multi-camera tracking is quite different from single camera tracking, and it faces new technology and system architecture challenges.

Learning Traffic as Images: A Deep Convolutional Neural Network for Large-Scale Transportation Network Speed Prediction

no code implementations16 Jan 2017 Xiaolei Ma, Zhuang Dai, Zhengbing He, Jihui Na, Yong Wang, Yunpeng Wang

This paper proposes a convolutional neural network (CNN)-based method that learns traffic as images and predicts large-scale, network-wide traffic speed with a high accuracy.

Analysis of Solution Quality of a Multiobjective Optimization-based Evolutionary Algorithm for Knapsack Problem

no code implementations12 Feb 2015 Jun He, Yong Wang, Yuren Zhou

Multi-objective optimisation is regarded as one of the most promising ways for dealing with constrained optimisation problems in evolutionary optimisation.

Multiobjective Optimization

Derivations of Normalized Mutual Information in Binary Classifications

no code implementations23 Nov 2007 Yong Wang, Bao-Gang Hu

In this work, we propose to assess classifiers in terms of normalized mutual information (NI), which is novel and well defined in a compact range for classifier evaluation.

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