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An Adaptive Batch Bayesian Optimization Approach for Expensive Multi-Objective Optimization problems
This paper presents Adaptive Batch-ParEGO, an adaptive batch Bayesian optimization method for expensive multi-objective problems. This …
WangHongyan
,
XuHua
,
Yuan Yuan
,
ZhangZeqiu
PDF
DOI
Multi-kernel Convolutional Neural Network for Wrist Pulse Signal Classification
Wrist pulse is one kind of biomedical signals, it is affected not only by the heart beatings, but also by the conditions of nerves, …
ChenXiaoFei
,
XuHua
,
QianPeng
,
XuYunFeng
,
LiFuFeng
,
LiShengWang
PDF
DOI
Make Acoustic and Visual Cues Matter: CH-SIMS v2.0 Dataset and AV-Mixup Consistent Module
Multimodal sentiment analysis (MSA), which supposes to improve text-based sentiment analysis with associated acoustic and visual …
Yihe Liu
,
Ziqi Yuan
,
Huisheng Mao
,
Zhiyun Liang
,
Wanqiuyue Yang
,
Yuanzhe Qiu
,
Tie Cheng
,
Xiaoteng Li
,
Hua Xu
,
Kai Gao
PDF
Code
DOI
An In-depth Interactive and Visualized Platform for Evaluating and Analyzing MRC Models
Machine Reading Comprehension (MRC) has made leaps and bounds when focusing on answering questions. However, since the ex- isting …
Zhijing Wu
,
Jingliang Fang
,
Hua Xu
,
Kai Gao
PDF
Code
DOI
MIntRec: A New Dataset for Multimodal Intent Recognition
Multimodal intent recognition is a significant task for understanding human language in real-world multimodal scenes. Most existing …
Hanlei Zhang
,
Hua Xu
,
Xin Wang
,
Qianrui Zhou
,
Shaojie Zhao
,
JiayanTeng
PDF
Code
Dataset
Trustworthy Machine Reading Comprehension with Conditional Adversarial Calibration
Machine Reading Comprehension (MRC) has achieved impressive answer inference performance in recent years but rarely considers the …
WuZhiJing
,
XuHua
PDF
DOI
MFENAS: Multifactorial Evolution for Neural Architecture Search
Neural Architecture Search (NAS) aims to automatically find neural network architectures competitive with human-designed ones. Despite …
Li Chen
,
Hua Xu
PDF
DOI
Continual Machine Reading Comprehension via Uncertainty-aware Fixed Memory and Adversarial Domain Adaptation
Continual Machine Reading Comprehension aims to incrementally learn from a continuous data stream across time without access the …
Zhijing Wu
,
Hua Xu
,
JingLiang Fang
,
KaiGao
PDF
Constrained-hLDA for Topic Discovery in Chinese Microblogs
Since microblog service became information provider on web scale, research on microblog has begun to focus more on its content mining. …
Wei Wang
,
Hua Xu
,
Weiwei Yang
,
Xiaoqiu Huang
PDF
Cite
DOI
High-dimensional expensive multi-objective optimization via additive structure
Expensive multi-objective problems (MOPs) are extremely challenging due to the high evaluation cost to find satisfying solutions with …
WangHongyan
,
XuHua
,
Yuan Yuan
PDF
DOI
M-SENA: An Integrated Platform for Multimodal Sentiment Analysis
M-SENA is an open-sourced platform for Multimodal Sentiment Analysis. It aims to facilitate advanced research by providing flexible …
Huisheng Mao
,
Ziqi Yuan
,
Hua Xu
,
Wenmeng Yu
,
Yihe Liu
,
Kai Gao
PDF
Code
DOI
Consistent Representation Learning for Continual Relation Extraction
Continual relation extraction (CRE) aims to continuously train a model on data with new relations while avoiding forgetting old ones. …
Kang Zhao
,
Hua Xu
,
Jiangong Yang
,
Kai Gao
PDF
Code
DOI
GAR-Net: A Graph Attention Reasoning Network for Conversation Understanding
Conversation understanding, as a necessary step for many applications, including social media, education, and argumentation mining, has …
Hua Xu
,
Ziqi Yuan
,
Kang Zhao
,
YunfengXu
,
Jiyun Zou
,
KaiGao
PDF
Code
DOI
An End-to-End Traditional Chinese Medicine Constitution Assessment System Based on Multimodal Clinical Feature Representation and Fusion
Traditional Chinese Medicine (TCM) constitution is a fundamental concept in TCM theory. It is determined by multimodal TCM clinical …
Huisheng Mao
,
Baozheng Zhang
,
Hua Xu
,
Kai Gao
PDF
Co-attentive multi-task convolutional neural network for facial expression recognition
Previous research on Facial Expression Recognition (FER) assisted by facial landmarks mainly focused on single-task learning or …
Wenmeng Yu
,
Hua Xu
PDF
Code
DOI
Transformer-based Feature Reconstruction Network for Robust Multimodal Sentiment Analysis
Improving robustness against data missing has become one of the core challenges in Multimodal Sentiment Analysis (MSA), which aims to …
Ziqi Yuan
,
WeiLi
,
Hua Xu
,
Wenmeng Yu
PDF
DOI
Discovering New Intents with Deep Aligned Clustering
Discovering new intents is a crucial task in dialogue system. Most existing methods are limited in transferring the prior knowledge …
Hanlei Zhang
,
Hua Xu
,
Ting-En Lin
,
Rui Lv
PDF
Code
DOI
TEXTOIR: An Integrated and Visualized Platform for Text Open Intent Recognition
TEXTOIR is the first integrated and visualized platform for text open intent recognition. It is composed of two main modules: open …
Hanlei Zhang
,
Xiaoteng Li
,
Hua Xu
,
PanpanZhang
,
Kang Zhao
,
KaiGao
PDF
Code
Discovering New Intents with Deep Aligned Clustering
Discovering new intents is a crucial task in dialogue systems. Most existing methods are limited in transferring the prior knowledge …
Hanlei Zhang
,
Hua Xu
,
Tingen Lin
,
RuiLv
PDF
Code
Deep Open Intent Classification with Adaptive Decision Boundary
Open intent classification is a challenging task in dialogue systems. On the one hand, we should ensure the classification quality of …
Hanlei Zhang
,
Hua Xu
,
Tingen Lin
PDF
Code
Learning Modality-Specific Representations with Self-Supervised Multi-Task Learning for Multimodal Sentiment Analysis
Representation Learning is a significant and challenging task in multimodal learning. Effective modality representations should contain …
Wenmeng Yu
,
Hua Xu
,
Ziqi Yuan
,
JieleWu
PDF
Code
Learning Modality-Specific Representations with Self-Supervised Multi-Task Learning for Multimodal Sentiment Analysis
Representation Learning is a significant and challenging task in multimodal learning. Effective modality representations should contain …
Wenmeng Yu
,
Hua Xu
,
Ziqi Yuan
,
Jiele Wu
PDF
Code
DOI
Representation Iterative Fusion Based on Heterogeneous Graph Neural Network for Joint Entity and Relation Extraction
Joint entity and relation extraction is an essential task in information extraction, which aims to extract all relational triples from …
Kang Zhao
,
Hua Xu
,
Yue Cheng
,
Xiaoteng Li
,
Kai Gao
PDF
Code
DOI
Deep Open Intent Classification with Adaptive Decision Boundary
Open intent classification is a challenging task in dialogue systems. On the one hand, it should ensure the quality of known intent …
Hanlei Zhang
,
Hua Xu
,
Ting-En Lin
PDF
Code
DOI
CM-BERT: Cross-Modal BERT for Text-Audio Sentiment Analysis
Multimodal sentiment analysis is an emerging research field that aims to enable machines to recognize, interpret, and express emotion. …
Kaicheng Yang
,
Hua Xu
PDF
Code
DOI
Objective Reduction in Many-Objective Optimization: Evolutionary Multiobjective Approaches and Comprehensive Analysis
Many-objective optimization problems bring great difficulties to the existing multiobjective evolutionary algorithms, in terms of …
Yuan Yuan
,
Hua Xu
PDF
Improving the Robustness of Machine Reading Comprehension Model with Hierarchical Knowledge and Auxiliary Unanswerability Prediction
Machine Reading Comprehension (MRC) aims to understand a passage and answer a series of related questions. With the development of deep …
Zhijing Wu
,
Hua Xu
PDF
DOI
HGFM : A Hierarchical Grained and Feature Model for Acoustic Emotion Recognition
To solve the problem of poor classification performance of multiple complex emotions in acoustic modalities, we propose a hierarchical …
Hua Xu
,
Jiyun Zou
PDF
DOI
FastBTM: Reducing the Sampling Time for Biterm Topic Model
Due to the popularity of social networks, such as microblogs and Twitter, a vast amount of short text data is created every day. Much …
Xingwei He
,
Hua Xu
,
Jia Li
PDF
Deep Reinforcement Learning for Robust Emotional Classification in Facial Expression Recognition
For emotion classification in facial expression recognition (FER), the performance of both traditional statistical methods and …
Huadong Li
,
Hua Xu
PDF
DOI
A joint model of extended LDA and IBTM over streaming Chinese short texts
With the prevalent of short texts, discovering the topics within them has become an important task. Biterm Topic Model (BTM) is more …
Hua Xu
,
Jia Li
PDF
CH-SIMS: A Chinese Multimodal Sentiment Analysis Dataset with Fine-grained Annotation of Modality
Previous studies in multimodal sentiment analysis have used limited datasets, which only contain unified multimodal annotations. …
Wenmeng Yu
,
Hua Xu
,
FanyangMeng
PDF
Code
Dataset
Finding structural hole spanners based on community forest model and diminishing marginal utility in large scale social networks
Structural hole spanners play key role in information diffusion, community detection, epidemic diseases and rumors spreading, link …
Yan Zhang
,
Hua Xu
,
Yunfeng Xu
,
Junhui Deng
,
Juan Gu
,
Rui Ma
,
Jie Lai
,
Jiangtao Hu
,
Xiaoshuai Yu
,
Lei Hou
,
Lidong Gu
,
Yanling Wei
,
Yichao Xiao
,
Junhao Lua
PDF
Cite
DOI
SATNet: Symmetric Adversarial Transfer Network Based on Two-Level Alignment Strategy towards Cross-Domain Sentiment Classification
In recent years, domain adaptation tasks have attracted much attention, especially, the task of cross-domain sentiment classification …
YuCao
,
Hua Xu
PDF
DOI
CORAL-DMOEA: Correlation Alignment-Based Information Transfer for Dynamic Multi-Objective Optimization
One essential characteristic of dynamic multi-objective optimization problems is that Pareto-Optimal Front/Set (POF/POS) varies over …
Li Chen
,
Hua Xu
PDF
DOI
Constrained Self-supervised Clustering for Discovering New Intents
Discovering new user intents is an emerging task in the dialogue system. In this paper, we propose a self-supervised clustering method …
Ting-EnLin
,
Hua Xu
,
Hanlei Zhang
PDF
DOI
Combining Fine-Tuning with a Feature-Based Approach for Aspect Extraction on Reviews
One key task of fine-grained sentiment analysis on reviews is to extract aspects or features that users have expressed opinions on. …
XiliWang
,
Hua Xu
,
Xiaomin Sun
,
GuangcanTao
PDF
DOI
A Multi-Task Learning Machine Reading Comprehension Model for Noisy Document
Current neural models for Machine Reading Comprehension (MRC) have achieved successful performance in recent years. However, the model …
Zhijing Wu
,
Hua Xu
PDF
DOI
Heterogeneous graph neural networks for noisy few-shot relation classification
Relation classification is an essential and fundamental task in natural language processing. Distant supervised methods have achieved …
Yuxiang Xie
,
Hua Xu
,
JiaoeLi
,
Congcong Yang
,
KaiGao
PDF
Cite
DOI
Multi-Channel Convolutional Neural Networks with Adversarial Training for Few-Shot Relation Classification
The distant supervised (DS) method has improved the performance of relation classification (RC) by means of extending the dataset. …
Yuxiang Xie
,
Hua Xu
,
Congcong Yang
PDF
Discovering New Intents via Constrained Deep Adaptive Clustering with Cluster Refinement
Identifying new user intents is an essential task in the dialogue system. However, it is hard to get satisfying clustering results …
Tingen Lin
,
Hua Xu
,
Hanlei Zhang
PDF
Code
Deep Unknown Intent Detection with Margin Loss
Identifying the unknown (novel) user intents that have never appeared in the training set is a challenging task in the dialogue system. …
Tingen Lin
,
Hua Xu
PDF
Cite
DOI
Video-Based Sentiment Analysis with hvnLBP-TOP Feature and bi-LSTM
In this paper, we propose a new feature extraction method called hvnLBP-TOP for video-based sentiment analysis. Furthermore, we use …
HaoranLi
,
Hua Xu
PDF
DOI
Noisy Multiobjective Black-Box Optimization Using Bayesian Optimization
Expensive black-box problems are usually optimized by Bayesian Optimization (BO) since it can reduce evaluation costs via cheaper …
Hongyan Wang
,
Hua Xu
,
Yuan Yuan
,
Junhui Deng
,
Xiaomin Sun
PDF
Cite
DOI
Balancing Exploration and Exploitation in Multiobjective Batch Bayesian Optimization
Many applications such as hyper-parameter tunning in Machine Learning can be casted to multiobjective black-box problems and it is …
Hongyan Wang
,
Hua Xu
,
Yuan Yuan
,
Xiaomin Sun
,
Junhui Deng
PDF
Cite
DOI
A post-processing method for detecting unknown intent of dialogue system via pre-trained deep neural network classifier
With the maturity and popularity of dialogue systems, detecting user’s unknown intent in dialogue systems has become an important task. …
Tingen Lin
,
Hua Xu
PDF
Cite
DOI
Attention-Based BiLSTM Network with Lexical Feature for Emotion Classification
Emotion classification is an important task for identifying users' emotional expressions in text. Though a variety of neural models …
Kai Gao
,
Hua Xu; Chengliang Gao; Hanyong Hao; Junhui Deng; Xiaomin Sun
PDF
DOI
Topic Discovery for Streaming Short Texts with CTM
Short texts are prevalent on today’s Web, especially with the emergence of social media. However, how to discover the topics of …
Yunfeng Xu
,
Hua Xu
,
Longxia Zhu
,
Hanyong Hao
,
Junhui Deng
,
Xiaomin Sun
,
Xiaoli Bai
PDF
DOI
An Empirical Study of Emotion Analysis with Different Distributed Representation Methods for Chinese Microblogs
Distributed representation of text has the ability to effectively express the meaning of text. Up to now, most studies have adopted …
Chengliang Gao
,
Hua Xu
,
Xiaomin Sun
,
Junhui Deng
,
Xiaoli Bai
,
Xiaoming Zhang
,
Kai Gao
PDF
Dataset
DOI
Two-Stage Attention Network for Aspect-Level Sentiment Classification
Currently, most of attention-based works adopt single-stage attention processes during generating context representations toward …
KaiGao
,
Hua Xu
,
ChengliangGao
,
Xiaomin Sun
,
Junhui Deng
,
XiaomingZhang
Cite
ABiRCNN with neural tensor network for answer selection
Answer selection is a very important task in domain question answering. However, because of the word variety between questions and …
Xingwei He
,
Hua Xu
,
Xiaomin Sun
,
Junhui Deng
,
Jia Li
PDF
Code
DOI
Optimize Collapsed Gibbs Sampling for Biterm Topic Model by Alias Method
With the popularity of social networks, such as mi-croblogs and Twitter, topic inference for short text is increasingly significant and …
Xingwei He
,
Hua Xu
,
Xiaomin Sun
,
Junhui Deng
,
Xiaoli Bai
,
Jia Li
PDF
Code
DOI
Aspect-based sentiment analysis using ABPCS model and SVMPperf in Chinese reviews
Aspect-based sentiment analysis has always been a difficult task since it consists of several core sub-tasks: feature detection, …
Yuxiang Bao
,
Hua Xu
,
Fei Jia
,
Xiaoli Bai
PDF
DOI
Objective Reduction in Many-Objective Optimization
Many-objective optimization problems bring great difficulties to the existing multiobjective evolutionary algorithms, in terms of …
Yuan Yuan
,
Yew-Soon Ong
,
Abhishek Gupta
,
Hua Xu
PDF
DOI
On the need of hierarchical emotion classification: Detecting the implicit feature using constrained topic model
Nowadays in China, Sina Weibo has become the most popular microblog platform and researches about it are proposed increasingly. In this …
Fan Zhang
,
Hua Xu
,
Xiaoli Bai
PDF
DOI
Suggest what to tag: Recommending more precise hashtags based on users’ dynamic interests and streaming tweet content
Twitter is an online social networking microblogging service that allows registered users to broadcast 140-character messages called …
Jia Li
,
Hua Xu
PDF
Tweet modeling with LSTM recurrent neural networks for hashtag recommendation
The hash symbol, called a hashtag, is used to mark the keyword or topic in a tweet. It was created organically by users as a way to …
Jia Li
,
Hua Xu
,
Xingwei He
,
Junhui Deng
,
Xiaomin Sun
PDF
DOI
Hyperbolic Linear Units for Deep Convolutional Neural Networks
Recently, rectified linear units (ReLUs) have been used to solve the vanishing gradient problem. Their use has led to state-of-the-art …
Jia Li
,
Hua Xu
,
Junhui Deng
,
Xiaomin Sun
PDF
DOI
Grasp the Implicit Features: Hierarchical Emotion Classification based on Topic Model and SVM
Microblog post has been a hot research source for emotion classification in recent years. However, due to bloggers' free narrative …
Fan Zhang
,
Hua Xu
,
Jiushuo Wang
,
Xiaomin Sun
,
Junhui Deng
PDF
DOI
Evolutionary multitasking in permutation-based combinatorial optimization problems: Realization with TSP, QAP, LOP, and JSP
Evolutionary computation (EC) has gained increasing popularity in dealing with permutation-based combinatorial optimization problems …
Yuan Yuan
,
Yew-Soo Ong
,
Abhishek Gupta
,
Puay Siew Tan
,
Hua Xu
PDF
DOI
User-IBTM: An Online Framework for Hashtag Suggestion in Twitter
Twitter, the global social networking microblogging service, allows registered users to post 140-character messages known as tweets. …
Jia Li
,
Hua Xu
Cite
Finding overlapping community from social networks based on community forest model
Overlapping community detection is the key research work to discover and explore the social networks. A great deal of work has been …
YunfengXu
,
Hua Xu
,
DongwenZhang
,
YanZhang
PDF
Cite
DOI
BitHash: An efficient bitwise Locality Sensitive Hashing method with applications
Locality Sensitive Hashing has been applied to detecting near-duplicate images, videos and web documents. In this paper we present a …
WenhaoZhang
,
JianqiuJi
,
JunZhu
,
JianminLi
,
Hua Xu
,
BoZhang
PDF
Cite
DOI
Scale Adaptive Reproduction Operator for Decomposition based Estimation of Distribution Algorithm
Multi-objective evolutionary algorithm based on decomposition (MOEA/D) uses crossover operator which often either breaks the building …
Bo Wang
,
Hua Xu
,
Yuan Yuan
PDF
DOI
Implicit feature identification in Chinese reviews using explicit topic mining model
The essential work of feature-specific opinion mining is centered on the product features. Previous related research work has often …
Hua Xu
,
FanZhang
,
WeiWang
PDF
Cite
DOI
Hierarchical emotion classification and emotion component analysis on chinese micro-blog posts
Text emotion analysis has long been a hot topic. With the development of social network, text emotion analysis on micro-blog posts …
Hua Xu
,
WeiweiYang
,
JiushuoWang
PDF
Cite
DOI
Emotion Cause Detection for Chinese Micro-Blogs Based on ECOCC Model
Micro-blog emotion mining and emotion cause extraction are essential in social network data mining. This paper presents a novel …
KaiGao
,
Hua Xu
,
JiushuoWang
Cite
Chinese comments sentiment classification based on word2vec and SVMperf
Since the booming development of e-commerce in the last decade, the researchers have begun to pay more attention to extract the …
DongwenZhang
,
Hua Xu
,
ZengcaiSu
,
YunfengXu
PDF
Cite
DOI
An Experimental Investigation of Variation Operators in Reference-Point Based Many-Objective Optimization
Reference-point based multi-objective evolutionary algorithms (MOEAs) have shown promising performance in many-objective optimization. …
Yuan Yuan
,
Hua Xu
,
Bo Wang
PDF
Cite
DOI
A rule-based approach to emotion cause detection for Chinese micro-blogs
Emotion analysis and emotion cause extraction are key research tasks in natural language processing and public opinion mining. This …
KaiGao
,
Hua Xu
,
JiushuoWang
PDF
Cite
DOI
A novel disjoint community detection algorithm for social networks based on backbone degree and expansion
Community detection in social networks is a key point to discover the functions and structure of social networks. A great deal of work …
YunfengXu
,
Hua Xu
,
DongwenZhang
PDF
Cite
DOI
Emotion Classification Based on Structured Information
In the era of information explosion, more social network applications present a platform for people to share various news and …
Kai Gao
,
Hua Xu
,
Jiushuo Wang
PDF
DOI
Chinese Sentiment Classification Using A Neural Network Tool-Word2vec
Sentiment classification is the main and popular task in the field of sentiment analysis. Most of the existing researches focus on how …
Zengcai Su
,
Hua Xu
,
Dongwen Zhang
,
Yunfeng Xu
PDF
DOI
Quantum-Inspired Evolutionary Algorithm with Linkage Learning
The quantum-inspired evolutionary algorithm (QEA) uses several quantum computing principles to optimize problems on a classical …
Bo Wang
,
Hua Xu
,
Yuan Yuan
PDF
DOI
Text-based emotion classification using emotion cause extraction
In recent years, increasing impact of social networks on people’s opinions and decision making has attracted lots of attention. …
WeiyuanLi
,
Hua Xu
PDF
Cite
DOI
Evolutionary Many-Objective Optimization Using Ensemble Fitness Ranking
In this paper, a new framework, called ensemble fitness ranking (EFR), is proposed for evolutionary many-objective optimization that …
Yuan Yuan
,
Hua Xu
,
Bo Wang
PDF
Cite
DOI
Box office prediction based on microblog
As the importance and popularity of online social media has become more obvious, there are more researches aiming at making use of …
JingfeiDu
,
Hua Xu
,
XiaoqiuHuang
PDF
Cite
DOI
An Improved NSGA-III Procedure for Evolutionary Many-Objective Optimization
Many-objective (four or more objectives) optimization problems pose a great challenge to the classical Pareto-dominance based …
Yuan Yuan
,
Hua Xu
,
Bo Wang
PDF
Cite
DOI
A Two-Level Hierarchical EDA Using Conjugate Priori
Estimation of distribution algorithms (EDAs) are stochastic optimization methods that guide the search by building and sampling …
Bo Wang
,
Hua Xu
,
Yuan Yuan
PDF
Cite
DOI
Implicit Feature Detection via a Constrained Topic Model and SVM
WeiWang
,
Hua Xu
,
Xiaoqiu Huang
PDF
Cite
Multiobjective Flexible Job Shop Scheduling Using Memetic Algorithms
In this paper, we propose new memetic algorithms (MAs) for the multiobjective flexible job shop scheduling problem (MO-FJSP) with the …
Yuan Yuan
,
Hua Xu
PDF
DOI
A Memetic Algorithm for the Multi-objective Job Shop Flexible Scheduling Problem
In this paper, a new memetic algorithm (MA) is proposed for the muti-objective flexible job shop scheduling problem (MO-FJSP) with the …
Yuan Yuan
,
Hua Xu
PDF
DOI
Effective Structure Learning for Estimation of Distribution Algorithms via L1-Regularized Bayesian Networks
Estimation of distribution algorithms (EDAs), as an extension of genetic algorithms, samples new solutions from the probabilistic …
Hua Xu
,
Jiangong Yang
,
PeifaJia
,
YiDing
PDF
DOI
Implicit feature identification via hybrid association rule mining
In sentiment analysis, a finer-grained opinion mining method not only focuses on the view of the product itself, but also focuses on …
WeiWang
,
Hua Xu
,
Wei Wan
PDF
Cite
DOI
Flexible job shop scheduling using hybrid differential evolution algorithms
This paper proposes hybrid differential evolution (HDE) algorithms for solving the flexible job shop scheduling problem (FJSP) with the …
Yuan Yuan
,
Hua Xu
PDF
Cite
DOI
Effective search for genetic-based machine learning systems via estimation of distribution algorithms and embedded feature reduction techniques
Genetic-based machine learning (GBML) systems, which employ evolutionary algorithms (EAs) as search mechanisms, evolve rule-based …
Jiadong Yang
,
Hua Xu
,
PeifaJia
PDF
Cite
DOI
An integrated search heuristic for large-scale flexible job shop scheduling problems
The flexible job shop scheduling problem (FJSP) is a generalization of the classical job shop scheduling problem (JSP), where each …
Yuan Yuan
,
Hua Xu
PDF
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DOI
A Memetic Algorithm for the Multi-Objective Flexible Job Shop Scheduling Problem
In this paper, a new memetic algorithm (MA) is proposed for the muti-objective flexible job shop scheduling problem (MO-FJSP) with the …
Yuan Yuan
,
Hua Xu
PDF
Cite
DOI
A hybrid harmony search algorithm for the flexible job shop scheduling problem
In this paper, a novel hybrid harmony search (HHS) algorithm based on the integrated approach, is proposed for solving the flexible job …
Yuan Yuan
,
Hua Xu
,
Jiadong Yang
PDF
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DOI
A hop-by-hop network coding algorithm for aviation communications networks
Considering the feature of intensive node mobility in aviation communication networks, a hop-by-hop network coding algorithm based on …
Yuan Wang
,
Hua Xu
,
Peifa Jia
PDF
DOI
HHS/LNS: An integrated search method for flexible job shop scheduling
The flexible job shop scheduling problem (FJSP) is a generalization of the classical job shop scheduling problem (JSP), where each …
Yuan Yuan
,
Hua Xu
PDF
DOI
Weakness Finder: Find product weakness from Chinese reviews by using aspects based sentiment analysis
Finding the weakness of the products from the customers’ feedback can help manufacturers improve their product quality and competitive …
WenhaoZhang
,
Hua Xu
,
Wei Wan
PDF
Cite
DOI
Effective search for Pittsburgh learning classifier systems via estimation of distribution algorithms
Pittsburgh-style learning classifier systems (LCSs), in which an entire candidate solution is represented as a set of variable number …
Jiadong Yang
,
Hua Xu
,
PeifaJia
PDF
Cite
DOI
A cooperative coevolution-based Pittsburgh learning classifier system embedded with memetic feature selection
Given that real-world classification tasks always have irrelevant or noisy features which degrade both prediction accuracy and …
Yun Wen
,
Hua Xu
PDF
A design method of multiple protocols communication module in semiconductor equipment simulation platform
This paper presents a design method for communication module design in semiconductor equipment simulation platform. There are several …
Wei Wang
,
Longqing Zou
,
Hua Xu
,
Youwei An
,
Peifa Jia
,
Bo Li
,
Yuan Luo
DOI
Design of component simulation platform for integrated circuit manufacturing equipments
Simulation plays an important role in researching, developing and testing Integrated Circuit (IC) manufacturing equipments. It is …
Wei Wang
,
Bo Li
,
Hua Xu
,
Lei Li
,
Peifa Jia
,
Longqing Zou
PDF
DOI
Task scheduling using Bayesian optimization algorithm for heterogeneous computing environments
Abstract Efficient task scheduling, as a crucial step to achieve high performance for multiprocessor platforms, remains one of the …
Jiadong Yang
,
Hua Xu
,
LiPan
,
PeifaJia
,
FeiLong
,
MingJie
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DOI
Questionnaires-based skin attribute prediction using Elman neural network
Skin attribute tests, especially for women, have become critical in the development of daily cosmetics in recent years. However, …
Wei Wan
,
Hua Xu
,
WenhaoZhang
,
XinchengHu
,
GangDeng
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DOI
Identifying Evaluative Sentences in Online Discussions
ZhongwuZhai
,
BingLiu
,
LeiZhang
,
Hua Xu
,
PeifaJia
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Exploiting effective features for Chinese sentiment classification
Features play a fundamental role in sentiment classification. How to effectively select different types of features to improve …
ZhongwuZhai
,
Hua Xu
,
BadaKang
,
PeifaJia
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DOI
Constrained LDA for Grouping Product Features in Opinion Mining
In opinion mining of product reviews, one often wants to produce a summary of opinions based on product features. However, for the same …
ZhongwuZhai
,
BingLiu
,
Hua Xu
,
PeifaJia
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Clustering Product Features for Opinion Mining
In sentiment analysis of product reviews, one important problem is to produce a summary of opinions based on product …
ZhongwuZhai
,
BingLiu
,
Hua Xu
,
PeifaJia
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DOI
A heuristic-based hybrid genetic-variable neighborhood search algorithm for task scheduling in heterogeneous multiprocessor system
Effective task scheduling, which is essential for achieving high performance in a heterogeneous multiprocessor system, remains a …
Yun Wen
,
Hua Xu
,
Jiadong Yang
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DOI
An Elman neural network-based model for predicting anti-germ performances and ingredient levels with limited experimental data
Anti-germ performance test is critical in the production of detergents. However, actual biochemical tests are often costly and …
Anqi Cui
,
Hua Xu
,
Peifa Jia
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DOI
Grouping Product Features Using Semi-Supervised Learning with Soft-Constraints
ZhongwuZhai
,
BingLiu
,
Hua Xu
,
PeifaJia
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Feature Subsumption for Sentiment Classification in Multiple Languages
An open problem in machine learning-based sentiment classification is how to extract complex features that outperform simple features; …
ZhongwuZhai
,
Hua Xu
,
JunLi
,
PeifaJia
Cite
Effective Structure Learning for EDA via L1-Regularizedbayesian Networks
The Bayesian optimization algorithm (BOA) uses Bayesian networks to explore the dependencies between decision variables of an …
Jiadong Yang
,
Hua Xu
,
YunpengCai
,
PeifaJia
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DOI
An Empirical Study of Unsupervised Sentiment Classification of Chinese Reviews
This paper is an empirical study of unsupervised sentiment classification of Chinese reviews. The focus is on exploring the ways to …
ZhongwuZhai
,
Hua Xu
,
PeifaJia
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DOI
A Heuristic-Based Hybrid Genetic Algorithm for Heterogeneous Multiprocessor Scheduling
Effective task scheduling, which is essential for achieving high performance of parallel processing, remains challenging despite of …
Yun Wen
,
Hua Xu
,
Jiadong Yang
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DOI
Fuzzy Timed Agent Based Petri Nets for Modeling Cooperative Multi-Robot Systems
A cooperative multi-robot system (CMRS) modeling method called fuzzy timed agent based Petri nets (FTAPN) is proposed in this paper, …
Xingli HUANG
,
Hua XU
,
Peifa JIA
PDF
DOI
Task scheduling for heterogeneous computing based on Bayesian optimization algorithm
Efficient task scheduling, as a crucial step to achieve high performance for multiprocessor platform, remains one of the challenge …
Jiadong Yang
,
Hua Xu
,
Peifa Jia
PDF
DOI
Sentiment classification for Chinese reviews based on key substring features
One of the most widely-studied sub-problems of opinion mining is sentiment classification, which classifies evaluative texts as …
Zhongwu Zhai
,
Hua Xu
,
Jun Li
,
Peifa Jia
PDF
DOI
A hierarchical routing architecture for the aviation communication network
Aviation communication network is composed of various kinds of IP-enabled aerial mobile Ad Hoc network, IP-enabled ground network and …
Yuan Wang
,
Hua Xu
,
Peifa Jia
PDF
DOI
Balancing Convergence and Diversity in Decomposition-Based Many-Objective Optimizers
The decomposition-based multiobjective evolutionary algorithms (MOEAs) generally make use of aggregation functions to decompose a …
Yuan Yuan
,
Hua Xu
PDF
Anti-germ performance prediction for detergents based on Elman network on small data sets
Anti-germ performance test is critical in the production of detergents. However, actual biochemical tests are often costly and time …
Anqi Cui
,
Hua Xu
,
Peifa Jia
PDF
DOI
Identifying opinion leaders in BBS
Opinion leaders play a very important role in information diffusion; they are found in all fields of society and influence the opinions …
Zhongwu Zhai
,
Hua Xu
,
Peifa Jia
PDF
DOI
TOPN based temporal performance evaluation method of neural network based robot controller
These years, for some neural network (NN) controller based time critical systems, temporal performance is always required to be …
Hua Xu
,
Peifa Jia
PDF
DOI
A Fuzzy Timed Object-Oriented Petri Net for Multi-Agent Systems
In this paper, a multi-agent system (MAS) modeling method called fuzzy timed object-oriented Petri nets (FTOPN) is proposed. FTO-PN has …
Hua Xu
,
Peifa Jia
PDF
DOI
Control middleware for open robot controllers
To organize the robot controllers in an open manner and manage heterogeneous and concurrent accesses to hardware devices is a tough …
Hua Xu
,
YunPeng Cai
,
Peifa Jia
,
Yonglin Chi
,
Hui Zhang
PDF
DOI
A rough set and fuzzy neural Petri net based method for dynamic knowledge extraction, representation and inference in cooperative multiple robot system
In cooperative multiple robot systems (CMRS), dynamic knowledge representation and inference is the key in scheduling robots to fulfill …
Hua Xu
,
Yuan Wang
,
Peifa Jia
PDF
DOI
Fuzzy neural Petri nets
Fuzzy Petri net (FPN) is a powerful modeling tool for fuzzy production rules based knowledge systems. But it is lack of learning …
Hua Xu
,
Yuan Wang
,
Peifa Jia
PDF
DOI
A novel modeling method for cooperative multi-robot systems using fuzzy timed agent based Petri nets
This paper proposes a cooperative multi-robot system (CMRS) modeling method called fuzzy timed agent based Petri nets (FTAPN), which …
Hua Xu
,
Peifa Jia
PDF
DOI
Cross Entropy and Adaptive Variance Scaling in Continuous EDA
This paper deals with the adaptive variance scaling issue incontinuous Estimation of Distribution Algorithms. A phenomenon is …
YunpengCai
,
Xiaomin Sun
,
Hua Xu
,
PeifaJia
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DOI
RTOC: A Rt-Linux Based Open Robot Controller
An open robot control system pursues easy extension, flexible reconfiguration, facile portability and jointless interoperation. …
Hua Xu
,
Peifa Jia
PDF
DOI
Fuzzy timed object-oriented Petri net
The goal of this work is to extend a model of timed object-oriented Petri nets (TOPN) to allow modeling and analyzing dynamic systems …
Hua Xu
,
Peifa Jia
PDF
DOI
A novel dynamic knowledge extraction method in cooperative multiple robot system using rough set
Dynamic knowledge extraction is one of the critical problems in dynamic systems especially in cooperative multiple robot systems …
Hua Xu
,
Peifa Jia
PDF
DOI
A Novel Chamber Scheduling Method in Etching Tools Using Adaptive Neural Networks
Chamber scheduling in etching tools is an important but difficult task in integrated circuit manufacturing. In order to effectively …
Hua Xu
,
Peifa Jia
,
Xuegong Zhang
PDF
DOI
The RTOC Open System for Controlling Fictitious Roaming Platform
Openness is one of the aims pursued by modern controller systems. The typical features of one controller system include easy extension, …
Hua Xu
,
Yiming Cao
,
Zehong Yang
,
Peifa Jia
,
Xuegong Zhang
PDF
DOI
Portability in General Open Controllers
Openness is one of the features of modern open controllers. The porting ability of open control software is one of the most important …
Hua Xu
,
Peifa Jia
,
Ming Yang
,
Haozhi Liu
PDF
DOI
A Conceptual Communication Model Based On HOONet in General Open Controllers
Communication is one of the important functions in the middle layer of the 3-layered typical architecture of open controllers. Most of …
Hua Xu
,
Zehong Yang
,
Peifa Jia
,
Yannan Zhao
PDF
DOI
Conceiving, analyzing, modeling, verifying and developing-the clews of modeling open software architectures of robot controllers
Openness is one of the features of modem robot controllers. Although many modeling technologies about how to model and develop open …
Hua Xu
,
Peifa Jia
,
Yannan Zhao
PDF
DOI
A Generic Conceptual Model of Interface Components in Open Robot Controller
Openness is one of the features of modern open robot controllers. The extending ability of control software is one of the important …
Hua Xu
,
JingLiang Fang
,
Yanan Zhao
PDF
DOI
A Modified Genetic Algorithm-Algorithm Description
Based on the analyses of the limitation of a common genetic algorithm and the model of the structure and development of human society, …
Hua Xu
,
Yannan Zhao
,
Peifa Jia
PDF
DOI
An Adaptive Method of Signal Selecting Based on the Strategy of Fuzzy Clustering and Expert Reasoning
In order to pick up effective signals a real control system, the paper discusses an adaptive method of signal selection based on the …
Hua Xu
,
Yannan Zhao
,
Zehong Yang
,
Xiaomin Sun
,
Peifa Jia
PDF
DOI
A New Dominance Relation Based Evolutionary Algorithm for Many-Objective Optimization
Many-objective optimization has posed a great challenge to the classical Pareto dominance-based multiobjective evolutionary algorithms …
Yuan Yuan
,
Hua Xu
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