Xianzhi Wang

发表

Knowledge-guided Deep Reinforcement Learning for Interactive Recommendation

Wei Liu, Wenjie Zhang, Lina Yao, 2020, 2020 International Joint Conference on Neural Networks (IJCNN).

A Framework Towards Model Driven Business Process Compliance and Monitoring

Quan Z. Sheng, Georg Grossmann, Xianzhi Wang, 2015, 2015 IEEE 19th International Enterprise Distributed Object Computing Workshop.

Lina Yao, Boualem Benatallah, Chaoran Huang, 2019, PAKDD.

Multi-center federated learning: clients clustering for better personalization pdf

Tao Shen, Xianzhi Wang, Ming Xie, 2020, World Wide Web.

Are You A Risk Taker? Adversarial Learning of Asymmetric Cross-Domain Alignment for Risk Tolerance Prediction

Lina Yao, Xianzhi Wang, Zhe Liu, 2020, 2020 International Joint Conference on Neural Networks (IJCNN).

Passenger Demand Forecasting with Multi-Task Convolutional Recurrent Neural Networks

Lina Yao, Salil S. Kanhere, Lei Bai, 2019, PAKDD.

Reputation-Based Framework for Internet of Things

Xin Liu, Zheng-Kui Lin, Xianzhi Wang, 2017, MLICOM.

SmartMTD: A Graph-Based Approach for Effective Multi-Truth Discovery pdf

Anne H. H. Ngu, Quan Z. Sheng, Xianzhi Wang, 2017, ArXiv.

Spatio-Temporal Graph Convolutional and Recurrent Networks for Citywide Passenger Demand Prediction

Lina Yao, Salil S. Kanhere, Xianzhi Wang, 2019, CIKM.

An enhanced probabilistic fairness-aware group recommendation by incorporating social activeness

Lina Yao, Xianzhi Wang, Shui Yu, 2020, J. Netw. Comput. Appl..

Approximate Truth Discovery via Problem Scale Reduction

Lina Yao, Quan Z. Sheng, Xiaofei Xu, 2015, CIKM.

A New Paradigm of Software Service Engineering in the Era of Big Data and Big Service pdf

Xiaofei Xu, Xianzhi Wang, Gianmario Motta, 2016, ArXiv.

A Novel Service Composition Approach for Application Migration to Cloud

Bo Yang, Xianzhi Wang, Fan Jing Meng, 2013, ICSOC.

An Improved Artificial Bee Colony Approach to QoS-Aware Service Selection

Xiaofei Xu, Xianzhi Wang, Zhongjie Wang, 2013, 2013 IEEE 20th International Conference on Web Services.

Survey for Trust-aware Recommender Systems: A Deep Learning Perspective

Xiwei Xu, Liming Zhu, Xianzhi Wang, 2020 .

MGNN: Mutualistic Graph Neural Network for Joint Friend and Item Recommendation

Quan Z. Sheng, Lina Yao, Xianzhi Wang, 2020, IEEE Intelligent Systems.

Value Veracity Estimation for Multi-Truth Objects via a Graph-Based Approach

Anne H. H. Ngu, Quan Z. Sheng, Xianzhi Wang, 2017, WWW.

Automatic Device Classification from Network Traffic Streams of Internet of Things

Lina Yao, Salil S. Kanhere, Lei Bai, 2018, 2018 IEEE 43rd Conference on Local Computer Networks (LCN).

Deep learning for misinformation detection on online social networks: a survey and new perspectives

Xianzhi Wang, Shaowu Liu, Guandong Xu, 2020, Social Network Analysis and Mining.

Interpretable Parallel Recurrent Neural Networks with Convolutional Attentions for Multi-Modality Activity Modeling

Lina Yao, Tao Gu, Xianzhi Wang, 2018, 2018 International Joint Conference on Neural Networks (IJCNN).

Trust in Recommender Systems: A Deep Learning Perspective pdf

Lina Yao, Xiwei Xu, Liming Zhu, 2020, ArXiv.

Mashup Recommendation by Regularizing Matrix Factorization with API Co-Invocations

Lina Yao, Quan Z. Sheng, Boualem Benatallah, 2018, IEEE Transactions on Services Computing.

Fullie and Wiselie: A Dual-Stream Recurrent Convolutional Attention Model for Activity Recognition pdf

Lina Yao, Tao Gu, Xianzhi Wang, 2017, ArXiv.

S-ABC: A paradigm of service domain-oriented artificial bee colony algorithms for service selection and composition

Quan Z. Sheng, Jian Yu, Xiaofei Xu, 2017, Future Gener. Comput. Syst..

From Appearance to Essence

Anne H. H. Ngu, Quan Z. Sheng, Wei Emma Zhang, 2017, ACM Trans. Intell. Syst. Technol..

Service Recommendation for Mashup Composition with Implicit Correlation Regularization

Wei Zhang, Lina Yao, Quan Z. Sheng, 2015, 2015 IEEE International Conference on Web Services.

Lina Yao, Salil S. Kanhere, Xianzhi Wang, 2020, PAKDD.

Truth Discovery via Exploiting Implications from Multi-Source Data

Lina Yao, Quan Z. Sheng, Boualem Benatallah, 2016, CIKM.

Predicting Citywide Passenger Demand via Reinforcement Learning from Spatio-Temporal Dynamics

Lina Yao, Flora D. Salim, Boualem Benatallah, 2018, MobiQuitous.

A Survey on Expert Recommendation in Community Question Answering

Lina Yao, Boualem Benatallah, Chaoran Huang, 2018, Journal of Computer Science and Technology.

A new paradigm of software service engineering in big data and big service era

Xiaofei Xu, Xianzhi Wang, Zhongjie Wang, 2018, Computing.

Reminder Care System: An Activity-Aware Cross-Device Recommendation System

Lina Yao, Salil S. Kanhere, Chaoran Huang, 2019, ADMA.

Mass Customization Oriented and Cost-Effective Service Network

Xiaofei Xu, Xianzhi Wang, Zhongjie Wang, 2013, IWEI.

A survey on deep learning-based non-invasive brain signals: recent advances and new frontiers

Xianzhi Wang, Jessica J. M. Monaghan, Xiang Zhang, 2019, Journal of neural engineering.

An Ensemble Approach for Better Truth Discovery

Quan Z. Sheng, Xianzhi Wang, Xiu Susie Fang, 2016, ADMA.

A unified framework for data integrity protection in people-centric smart cities

Lina Yao, Salil S. Kanhere, Chaoran Huang, 2019, Multimedia Tools and Applications.

Trust architecture and reputation evaluation for internet of things

Xianzhi Wang, Juan Chen, Xiang Cui, 2018, J. Ambient Intell. Humaniz. Comput..

Empowering Truth Discovery with Multi-Truth Prediction

Lina Yao, Quan Z. Sheng, Boualem Benatallah, 2016, CIKM.

Collaborative Location Recommendation by Integrating Multi-dimensional Contextual Information

Lina Yao, Quan Z. Sheng, Wei Emma Zhang, 2018, ACM Trans. Internet Techn..

Know Your Mind: Adaptive Brain Signal Classification with Reinforced Attentive Convolutional Neural Networks pdf

Yunhao Liu, Lina Yao, Xiang Zhang, 2018, ArXiv.

Ontology Augmentation via Attribute Extraction from Multiple Types of Sources

Quan Z. Sheng, Xianzhi Wang, Xiu Susie Fang, 2015, ADC.

Towards Privacy-Preserving Location Sharing over Mobile Online Social Networks

Shen Su, Xianzhi Wang, Juan Chen, 2019, IEICE Trans. Inf. Syst..

Up in the Air: When Homes Meet the Web of Things pdf

Lina Yao, Anne H. H. Ngu, Quan Z. Sheng, 2015, ArXiv.

PLMwsp: Probabilistic Latent Model for Web Service QoS Prediction

Lina Yao, Quan Z. Sheng, Xianzhi Wang, 2016, 2016 IEEE International Conference on Web Services (ICWS).

DeepKey: An EEG and Gait Based Dual-Authentication System pdf

Lina Yao, Xiang Zhang, Quan Z. Sheng, 2017, ArXiv.

Zero-Shot Object Detection with Textual Descriptions

Lina Yao, Xiaoqin Zhang, Salil S. Kanhere, 2019, AAAI.

SmartVote: a full-fledged graph-based model for multi-valued truth discovery

Anne H. H. Ngu, Quan Z. Sheng, Dianhui Chu, 2018, World Wide Web.

Generative Inverse Deep Reinforcement Learning for Online Recommendation pdf

Lina Yao, Xiwei Xu, Liming Zhu, 2020, CIKM.

Spectrum-Guided Adversarial Disparity Learning

Lina Yao, Xianzhi Wang, Can Wang, 2020, KDD.

A Generalized Service Resource Management Framework

Xiaofei Xu, Xianzhi Wang, Zhongjie Wang, 2010, 2010 International Conference on Service Sciences.

Building Entity Graphs for the Web of Things Management

Lina Yao, Anne H. H. Ngu, Quan Z. Sheng, 2017, Managing the Web of Things.

A Virtualization-Based Service System Development Method

Zhongjie Wang, Tong Mo, Xiaofei Xu, 2009 .

Multi-Level Privacy-Preserving Access Control as a Service for Personal Healthcare Monitoring

Lina Yao, Hye-Young Paik, Xianzhi Wang, 2017, 2017 IEEE International Conference on Web Services (ICWS).

Privacy Protection for Location Sharing Services in Social Networks

Hui Wang, Xin Liu, Zhenyu Na, 2017, MLICOM.

Multi-Person Brain Activity Recognition via Comprehensive EEG Signal Analysis

Lina Yao, Xiang Zhang, Quan Z. Sheng, 2017, MobiQuitous.

Effective Service Composition in Large Scale Service Market: An Empirical Evidence Enhanced Approach

Xiaofei Xu, Xianzhi Wang, Zhongjie Wang, 2012, Int. J. Web Serv. Res..

Causality Learning: A New Perspective for Interpretable Machine Learning pdf

Xianzhi Wang, Shaowu Liu, Qian Li, 2020, ArXiv.

DUAL: A Deep Unified Attention Model with Latent Relation Representations for Fake News Detection

Lina Yao, Quan Z. Sheng, Hao Huang, 2018, WISE.

Face to Purchase: Predicting Consumer Choices with Structured Facial and Behavioral Traits Embedding pdf

Lina Yao, Ee-Peng Lim, Xianzhi Wang, 2020, Knowl. Based Syst..

Expert Recommendation via Tensor Factorization with Regularizing Hierarchical Topical Relationships pdf

Lina Yao, Boualem Benatallah, Chaoran Huang, 2018, ICSOC.

Elimination of zero sequence circulating current between parallel operating three-level inverters

Juan C. Vasquez, Josep M. Guerrero, Xiaodong Wang, 2016, IECON 2016 - 42nd Annual Conference of the IEEE Industrial Electronics Society.

WITS: an IoT-endowed computational framework for activity recognition in personalized smart homes

Lina Yao, Quan Z. Sheng, Schahram Dustdar, 2018, Computing.

The Bundling of Multiple Requirements for Maximizing the Utilization of Service Resources

Xiaofei Xu, Xianzhi Wang, Zhongjie Wang, 2010, 2010 IEEE 7th International Conference on E-Business Engineering.

Agglomerative Neural Networks for Multiview Clustering

Lina Yao, Feiping Nie, Xianzhi Wang, 2020, IEEE Transactions on Neural Networks and Learning Systems.

Recommendations on the Internet of Things: Requirements, Challenges, and Directions

Lina Yao, Quan Z. Sheng, Schahram Dustdar, 2019, IEEE Internet Computing.

An Integrated Bayesian Approach for Effective Multi-Truth Discovery

Lina Yao, Quan Z. Sheng, Xiaofei Xu, 2015, CIKM.

A Survey on Deep Learning based Brain Computer Interface: Recent Advances and New Frontiers pdf

Lina Yao, David McAlpine, Xianzhi Wang, 2019, ArXiv.

Collaborative Fall Detection Using Smart Phone and Kinect

Xianzhi Wang, Lanshun Nie, Hanchuan Xu, 2018, Mob. Networks Appl..

Context as a Service: Realizing Internet of Things-Aware Processes for the Independent Living of the Elderly

Lina Yao, Boualem Benatallah, Xianzhi Wang, 2016, ICSOC.

Location Privacy in Device-Dependent Location-Based Services: Challenges and Solution

Shen Su, Mohan Li, Xianzhi Wang, 2019 .

Calling for Response: Automatically Distinguishing Situation-Aware Tweets During Crises

Lina Yao, Boualem Benatallah, Xianzhi Wang, 2017, ADMA.

Life Cycle of Virtualized Service Resource in BIRIS Environment

Xiaofei Xu, Xianzhi Wang, Zhongjie Wang, 2010, IESS.

GrandBase: generating actionable knowledge from Big Data

Anne H. H. Ngu, Quan Z. Sheng, Xianzhi Wang, 2017 .

Early fault diagnosis of rolling bearings based on hierarchical symbol dynamic entropy and binary tree support vector machine

Xianzhi Wang, Yongbo Li, Binbin Liu, 2018, Journal of Sound and Vibration.

Intent Recognition in Smart Living Through Deep Recurrent Neural Networks

Lina Yao, Xiang Zhang, Quan Z. Sheng, 2017, ICONIP.

Semi-empirical Service Composition: A Clustering Based Approach

Xiaofei Xu, Xianzhi Wang, Zhongjie Wang, 2011, 2011 IEEE International Conference on Web Services.

SourceVote: Fusing Multi-valued Data via Inter-source Agreements

Lina Yao, Anne H. H. Ngu, Quan Z. Sheng, 2017, ER.

Zero-Shot Object Detection with Textual Descriptions Using Convolutional Neural Networks

Lina Yao, Xianzhi Wang, Feng Zheng, 2020, 2020 International Joint Conference on Neural Networks (IJCNN).

RecRisk: An enhanced recommendation model with multi-facet risk control

Xianzhi Wang, Yang Xiao, Qingqi Pei, 2020, Expert Syst. Appl..

Enhancing Mind Controlled Smart Living Through Recurrent Neural Networks pdf

Lina Yao, Xiang Zhang, Quan Z. Sheng, 2017, ArXiv.

Analytic Profit Optimization of Service-Based Systems

Xiaofei Xu, Xianzhi Wang, Zhongjie Wang, 2012, 2012 IEEE 19th International Conference on Web Services.

A Service Composition Approach for the Fulfillment of Temporally Sequential Requirements

Xiaofei Xu, Xianzhi Wang, Zhongjie Wang, 2010, 2010 6th World Congress on Services.

Expert as a Service: Software Expert Recommendation via Knowledge Domain Embeddings in Stack Overflow

Lina Yao, Quan Z. Sheng, Boualem Benatallah, 2017, 2017 IEEE International Conference on Web Services (ICWS).

GrCAN: Gradient Boost Convolutional Autoencoder with Neural Decision Forest pdf

Lina Yao, Boualem Benatallah, Xianzhi Wang, 2018, ArXiv.

Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting pdf

Lina Yao, Xianzhi Wang, Can Wang, 2020, NeurIPS.

Recommender Systems for the Internet of Things: A Survey pdf

Lina Yao, Quan Z. Sheng, Chaoran Huang, 2020, ArXiv.

Zero-Shot Object Detection via Learning an Embedding from Semantic Space to Visual Space

Lina Yao, Xianzhi Wang, Feng Zheng, 2020, IJCAI.

Rating prediction via generative convolutional neural networks based regression

Shuai Zhang, Boualem Benatallah, Xianzhi Wang, 2020, Pattern Recognit. Lett..

Data-Augmented Regression with Generative Convolutional Network

Lina Yao, Xiang Zhang, Boualem Benatallah, 2018, WISE.

Opinion Fraud Detection via Neural Autoencoder Decision Forest

Lina Yao, Boualem Benatallah, Chaoran Huang, 2018, Pattern Recognit. Lett..

STG2Seq: Spatial-temporal Graph to Sequence Model for Multi-step Passenger Demand Forecasting pdf

Lina Yao, Xianzhi Wang, Lei Bai, 2019, IJCAI.

Analysis on Problems During GOOSE Technology Application in Substation

Lei He, Xianzhi Wang, Peng Luo, 2017, CSPS.

Price Heuristics for Highly Efficient Profit Optimization of Service Composition

Xiaofei Xu, Xianzhi Wang, Zhongjie Wang, 2011, 2011 IEEE International Conference on Services Computing.

Software Expert Discovery via Knowledge Domain Embeddings in a Collaborative Network pdf

Lina Yao, Xiang Zhang, Boualem Benatallah, 2018, Pattern Recognit. Lett..

Entropy Based Fault Classification Using the Case Western Reserve University Data: A Benchmark Study

Xianzhi Wang, Yongbo Li, Shubin Si, 2020, IEEE Transactions on Reliability.

Expert2Vec: Distributed Expert Representation Learning in Question Answering Community

Lina Yao, Chaoran Huang, Xianzhi Wang, 2019, ADMA.

Reliability assessment of multiple NC machine tools based on three-parameter Weibull Process model

Jianhua Li, Xianzhi Wang, Lina Ren, 2014, 2014 10th International Conference on Reliability, Maintainability and Safety (ICRMS).

Collaborative text categorization via exploiting sparse coefficients

Lina Yao, Quan Z. Sheng, Sen Wang, 2018, World Wide Web.

Depression Detection with Multi-Modalities Using a Hybrid Deep Learning Model on Social Media pdf

Guandong Xu, Xianzhi Wang, Shoaib Jameel, 2020, ArXiv.

Contextual Bandit Learning for Activity-Aware Things-of-Interest Recommendation in an Assisted Living Environment

Lina Yao, Salil S. Kanhere, Chaoran Huang, 2021, ADC.

Deep Multi-view Spatio-Temporal Network for Urban Crime Prediction

Lina Yao, Hye-Young Paik, Xianzhi Wang, 2021, ADC.

Task Aligned Generative Meta-learning for Zero-shot Learning

Lina Yao, Xianzhi Wang, Guodong Long, 2021, AAAI.

THE IEEE

Xianzhi Wang, Xianzhi Wang, Tri Dung Duong, 2020 .

DPIF: A Framework for Distinguishing Unintentional Quality Problems From Potential Shilling Attacks

Shen Su, Mohan Li, Xianzhi Wang, 2019 .