Xianzhi Wang

According to our database, Xianzhi Wang authored at least 169 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Strategies for evaluating visual analytics systems: A systematic review and new perspectives.

Md. Rafiqul Islam, Shanjita Akter, Linta Islam, Imran Razzak, Xianzhi Wang, Guandong Xu

Inf. Vis., January, 2024

Dyformer: A dynamic transformer-based architecture for multivariate time series classification.

Chao Yang, Xianzhi Wang, Lina Yao, Guodong Long, Guandong Xu

Inf. Sci., January, 2024

Exploring explicit and implicit graph learning for multivariate time series imputation.

Yakun Chen, Ruotong Hu, Zihao Li, Chao Yang, Xianzhi Wang, Guodong Long, Guandong Xu

Eng. Appl. Artif. Intell., January, 2024

A Temporally Disentangled Contrastive Diffusion Model for Spatiotemporal Imputation.

Yakun Chen, Kaize Shi, Zhangkai Wu, Juan Chen, Xianzhi Wang, Julian J. McAuley, Guandong Xu, Shui Yu

CoRR, 2024

2023

AIoT for sustainable manufacturing: Overview, challenges, and opportunities.

Abdul Matin, Md. Rafiqul Islam, Xianzhi Wang, Huan Huo, Guandong Xu

Internet Things, December, 2023

Uncertainty Estimation With Neural Processes for Meta-Continual Learning.

Xuesong Wang, Lina Yao, Xianzhi Wang, Hye-Young Paik, Sen Wang

IEEE Trans. Neural Networks Learn. Syst., October, 2023

Generative Adversarial Reward Learning for Generalized Behavior Tendency Inference.

Xiaocong Chen, Lina Yao, Xianzhi Wang, Aixin Sun, Quan Z. Sheng

IEEE Trans. Knowl. Data Eng., October, 2023

Graph-Aware Deep Fusion Networks for Online Spam Review Detection.

Li He, Guandong Xu, Shoaib Jameel, Xianzhi Wang, Hongxu Chen

IEEE Trans. Comput. Soc. Syst., October, 2023

A novel uncertainty-aware deep learning technique with an application on skin cancer diagnosis.

Afshar Shamsi Jokandan, Hamzeh Asgharnezhad, Ziba Bouchani, Khadijeh Jahanian, Morteza Saberi, Xianzhi Wang, Imran Razzak, Roohallah Alizadehsani, Arash Mohammadi, Hamid Alinejad-Rokny

Neural Comput. Appl., October, 2023

Adversarial dual autoencoders for trust-aware recommendation.

Manqing Dong, Lina Yao, Xianzhi Wang, Xiwei Xu, Liming Zhu

Neural Comput. Appl., June, 2023

Attentional Gated Res2Net for Multivariate Time Series Classification.

Chao Yang, Xianzhi Wang, Lina Yao, Guodong Long, Jing Jiang, Guandong Xu

Neural Process. Lett., April, 2023

Deep reinforcement learning in recommender systems: A survey and new perspectives.

Xiaocong Chen, Lina Yao, Julian J. McAuley, Guanglin Zhou, Xianzhi Wang

Knowl. Based Syst., March, 2023

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

Guodong Long, Ming Xie, Tao Shen, Tianyi Zhou, Xianzhi Wang, Jing Jiang

World Wide Web (WWW), January, 2023

A Graph Neural Network and Pointer Network-Based Approach for QoS-Aware Service Composition.

Xiao Wang, Hanchuan Xu, Xianzhi Wang, Xiaofei Xu, Zhongjie Wang

IEEE Trans. Serv. Comput., 2023

Gradient Boosted Neural Decision Forest.

Manqing Dong, Lina Yao, Xianzhi Wang, Boualem Benatallah, Shuai Zhang, Quan Z. Sheng

IEEE Trans. Serv. Comput., 2023

Attention-aware Social Graph Transformer Networks for Stochastic Trajectory Prediction.

Yao Liu, Binghao Li, Xianzhi Wang, Claude Sammut, Lina Yao

CoRR, 2023

GATGPT: A Pre-trained Large Language Model with Graph Attention Network for Spatiotemporal Imputation.

Yakun Chen, Xianzhi Wang, Guandong Xu

CoRR, 2023

Modeling Temporal Positive and Negative Excitation for Sequential Recommendation.

Chengkai Huang, Shoujin Wang, Xianzhi Wang, Lina Yao

Proceedings of the ACM Web Conference 2023, 2023

Exploiting Explicit and Implicit Item relationships for Session-based Recommendation.

Zihao Li, Xianzhi Wang, Chao Yang, Lina Yao, Julian J. McAuley, Guandong Xu

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Simplifying Graph-based Collaborative Filtering for Recommendation.

Li He, Xianzhi Wang, Dingxian Wang, Haoyuan Zou, Hongzhi Yin, Guandong Xu

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Dual Contrastive Transformer for Hierarchical Preference Modeling in Sequential Recommendation.

Chengkai Huang, Shoujin Wang, Xianzhi Wang, Lina Yao

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

RASNet: A Reinforcement Assistant Network for Frame Selection in Video-based Posture Recognition.

Ruotong Hu, Xianzhi Wang, Xiaojun Chang, Yeqi Hu, Xiaowei Xin, Xiangqian Ding, Baoqi Guo

Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

SOAC: Supervised Off-Policy Actor-Critic for Recommender Systems.

Shiqing Wu, Guandong Xu, Xianzhi Wang

Proceedings of the IEEE International Conference on Data Mining, 2023

RETIA: Relation-Entity Twin-Interact Aggregation for Temporal Knowledge Graph Extrapolation.

Kangzheng Liu, Feng Zhao, Guandong Xu, Xianzhi Wang, Hai Jin

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

From Time Series to Multi-modality: Classifying Multivariate Time Series via Both 1D and 2D Representations.

Chao Yang, Xianzhi Wang, Lina Yao, Guodong Long, Guandong Xu

Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023

Exploring the Effectiveness of Positional Embedding on Transformer-Based Architectures for Multivariate Time Series Classification.

Chao Yang, Yakun Chen, Zihao Li, Xianzhi Wang

Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023

MTSTI: A Multi-task Learning Framework for Spatiotemporal Imputation.

Yakun Chen, Kaize Shi, Xianzhi Wang, Guandong Xu

Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023

2022

Online Spam Review Detection: A Survey of Literature.

Li He, Xianzhi Wang, Hongxu Chen, Guandong Xu

Hum. Centric Intell. Syst., June, 2022

Explainable depression detection with multi-aspect features using a hybrid deep learning model on social media.

Hamad Zogan, Imran Razzak, Xianzhi Wang, Shoaib Jameel, Guandong Xu

World Wide Web, 2022

Agglomerative Neural Networks for Multiview Clustering.

Zhe Liu, Yun Li, Lina Yao, Xianzhi Wang, Feiping Nie

IEEE Trans. Neural Networks Learn. Syst., 2022

An Entropy-Guided Reinforced Partial Convolutional Network for Zero-Shot Learning.

Yun Li, Zhe Liu, Lina Yao, Xianzhi Wang, Julian J. McAuley, Xiaojun Chang

IEEE Trans. Circuits Syst. Video Technol., 2022

Generative adversarial U-Net for domain-free few-shot medical diagnosis.

Xiaocong Chen, Yun Li, Lina Yao, Ehsan Adeli, Yu Zhang, Xianzhi Wang

Pattern Recognit. Lett., 2022

Face to purchase: Predicting consumer choices with structured facial and behavioral traits embedding.

Zhe Liu, Xianzhi Wang, Yun Li, Lina Yao, Jake An, Lei Bai, Ee-Peng Lim

Knowl. Based Syst., 2022

A survey for trust-aware recommender systems: A deep learning perspective.

Manqing Dong, Feng Yuan, Lina Yao, Xianzhi Wang, Xiwei Xu, Liming Zhu

Knowl. Based Syst., 2022

Intent-Aware Interactive Internet of Things for Enhanced Collaborative Ambient Intelligence.

Chaoran Huang, Lina Yao, Xianzhi Wang, Quan Z. Sheng, Schahram Dustdar, Zhongjie Wang, Xiaofei Xu

IEEE Internet Comput., 2022

Adversarial Robustness of Deep Reinforcement Learning Based Dynamic Recommender Systems.

Siyu Wang, Yuanjiang Cao, Xiaocong Chen, Lina Yao, Xianzhi Wang, Quan Z. Sheng

Frontiers Big Data, 2022

A Survey on Recommender Systems for Internet of Things: Techniques, Applications and Future Directions.

May S. Altulyan, Lina Yao, Xianzhi Wang, Chaoran Huang, Salil S. Kanhere, Quan Z. Sheng

Comput. J., 2022

Mitigating Multi-class Unintended Demographic Bias in Text Classification with Adversarial Learning.

Le Pan, Lina Yao, Wenjie Zhang, Xianzhi Wang

Proceedings of the Web Information Systems Engineering - WISE 2022, 2022

Graph Neural Network with Self-attention and Multi-task Learning for Credit Default Risk Prediction.

Zihao Li, Xianzhi Wang, Lina Yao, Yakun Chen, Guandong Xu, Ee-Peng Lim

Proceedings of the Web Information Systems Engineering - WISE 2022, 2022

Hierarchical Task-aware Multi-Head Attention Network.

Jing Du, Lina Yao, Xianzhi Wang, Bin Guo, Zhiwen Yu

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Locality-Sensitive State-Guided Experience Replay Optimization for Sparse Rewards in Online Recommendation.

Xiaocong Chen, Lina Yao, Julian J. McAuley, Weili Guan, Xiaojun Chang, Xianzhi Wang

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Resolving Conflicts among Unbalanced Multi-Source Data When Multi-Value Objects Exist.

Xiu Susie Fang, Quan Z. Sheng, Jian Yang, Guohao Sun, Xianzhi Wang, Yihong Zhang

Proceedings of the IEEE INFOCOM 2022, 2022

Adaptive Graph Recurrent Network for Multivariate Time Series Imputation.

Yakun Chen, Zihao Li, Chao Yang, Xianzhi Wang, Guodong Long, Guandong Xu

Proceedings of the Neural Information Processing - 29th International Conference, 2022

Temporal Knowledge Graph Reasoning via Time-Distributed Representation Learning.

Kangzheng Liu, Feng Zhao, Guandong Xu, Xianzhi Wang, Hai Jin

Proceedings of the IEEE International Conference on Data Mining, 2022

minIL: A Simple and Small Index for String Similarity Search with Edit Distance.

Zhong Yang, Bolong Zheng, Xianzhi Wang, Guohui Li, Xiaofang Zhou

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Social Graph Transformer Networks for Pedestrian Trajectory Prediction in Complex Social Scenarios.

Yao Liu, Lina Yao, Binghao Li, Xianzhi Wang, Claude Sammut

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Multi-agent Transformer Networks for Multimodal Human Activity Recognition.

Jingcheng Li, Lina Yao, Binghao Li, Xianzhi Wang, Claude Sammut

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

An Explanation Module for Deep Neural Networks Facing Multivariate Time Series Classification.

Chao Yang, Xianzhi Wang, Lina Yao, Jing Jiang, Guandong Xu

Proceedings of the AI 2021: Advances in Artificial Intelligence, 2022

Deep Reinforcement Learning for Dynamic Things of Interest Recommendation in Intelligent Ambient Environment.

May S. Altulyan, Chaoran Huang, Lina Yao, Xianzhi Wang, Salil S. Kanhere

Proceedings of the AI 2021: Advances in Artificial Intelligence, 2022

Blockchain-based solutions for Humanitarian supply Chain Management.

Bavly Hanna, Guandong Xu, Xianzhi Wang, Md. Jahangir Hossain

Proceedings of the 28th Americas Conference on Information Systems, 2022

Harnessing Confidence for Report Aggregation in Crowdsourcing Environments.

Hadeel Alhosaini, Xianzhi Wang, Lina Yao, Zhong Yang, Farookh Khadeer Hussain, Ee-Peng Lim

Proceedings of the IEEE International Conference on Services Computing, 2022

Caching Hierarchical Skylines for Efficient Service Composition on Service Graphs.

Hadeel Alhosaini, Xianzhi Wang, Lina Yao, Yakun Chen, Guandong Xu

Proceedings of the IEEE International Conference on Services Computing, 2022

2021

Mashup Recommendation by Regularizing Matrix Factorization with API Co-Invocations.

Lina Yao, Xianzhi Wang, Quan Z. Sheng, Boualem Benatallah, Chaoran Huang

IEEE Trans. Serv. Comput., 2021

Context-Induced Activity Monitoring for On-Demand Things-of-Interest Recommendation in an Ambient Intelligent Environment.

May S. Altulyan, Lina Yao, Chaoran Huang, Xianzhi Wang, Salil S. Kanhere

Future Internet, 2021

Deep spatial-temporal sequence modeling for multi-step passenger demand prediction.

Lei Bai, Lina Yao, Xianzhi Wang, Can Li, Xiang Zhang

Future Gener. Comput. Syst., 2021

Locality-Sensitive Experience Replay for Online Recommendation.

Xiaocong Chen, Lina Yao, Xianzhi Wang, Julian J. McAuley

CoRR, 2021

A Survey of Deep Reinforcement Learning in Recommender Systems: A Systematic Review and Future Directions.

Xiaocong Chen, Lina Yao, Julian J. McAuley, Guanglin Zhou, Xianzhi Wang

CoRR, 2021

Generative Adversarial Reward Learning for Generalized Behavior Tendency Inference.

Xiaocong Chen, Lina Yao, Xianzhi Wang, Aixin Sun, Wenjie Zhang, Quan Z. Sheng

CoRR, 2021

Attribute-Modulated Generative Meta Learning for Zero-Shot Classification.

Yun Li, Zhe Liu, Lina Yao, Xianzhi Wang, Can Wang

CoRR, 2021

NP-PROV: Neural Processes with Position-Relevant-Only Variances.

Xuesong Wang, Lina Yao, Xianzhi Wang, Feiping Nie, Boualem Benatallah

Proceedings of the Web Information Systems Engineering - WISE 2021, 2021

UCBVis: Understanding Customer Behavior Sequences with Visual Interactive System.

Md. Rafiqul Islam, Imran Razzak, Xianzhi Wang, Peter Tilocca, Guandong Xu

Proceedings of the International Joint Conference on Neural Networks, 2021

MetaGB: A Gradient Boosting Framework for Efficient Task Adaptive Meta Learning.

Manqing Dong, Lina Yao, Xianzhi Wang, Xiwei Xu, Liming Zhu

Proceedings of the IEEE International Conference on Data Mining, 2021

Global Convolutional Neural Processes.

Xuesong Wang, Lina Yao, Xianzhi Wang, Hye-Young Paik, Sen Wang

Proceedings of the IEEE International Conference on Data Mining, 2021

Generative Inverse Deep Reinforcement Learning for Online Recommendation.

Xiaocong Chen, Lina Yao, Aixin Sun, Xianzhi Wang, Xiwei Xu, Liming Zhu

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

A Review of Recent Trends and Industry Prospects for Artificial Intelligence Technologies.

Guangjun Li, Xianzhi Wang, Minxi Li

Proceedings of the 8th International Conference on Behavioral and Social Computing, 2021

ExVis: Explainable Visual Decision Support System for Risk Management.

Md. Rafiqul Islam, Jiaming Zhang, Md. Hamjajul Ashmafee, Imran Razzak, Jianlong Zhou, Xianzhi Wang, Guandong Xu

Proceedings of the 8th International Conference on Behavioral and Social Computing, 2021

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

Usama Salama, Xiaocong Chen, Lina Yao, Hye-Young Paik, Xianzhi Wang

Proceedings of the Databases Theory and Applications, 2021

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

May S. Altulyan, Chaoran Huang, Lina Yao, Xianzhi Wang, Salil S. Kanhere

Proceedings of the Databases Theory and Applications, 2021

Task Aligned Generative Meta-learning for Zero-shot Learning.

Zhe Liu, Yun Li, Lina Yao, Xianzhi Wang, Guodong Long

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

A Semisupervised Recurrent Convolutional Attention Model for Human Activity Recognition.

Kaixuan Chen, Lina Yao, Dalin Zhang, Xianzhi Wang, Xiaojun Chang, Feiping Nie

IEEE Trans. Neural Networks Learn. Syst., 2020

From Appearance to Essence: Comparing Truth Discovery Methods without Using Ground Truth.

Xiu Susie Fang, Quan Z. Sheng, Xianzhi Wang, Wei Emma Zhang, Anne H. H. Ngu, Jian Yang

ACM Trans. Intell. Syst. Technol., 2020

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

Md. Rafiqul Islam, Shaowu Liu, Xianzhi Wang, Guandong Xu

Soc. Netw. Anal. Min., 2020

Rating prediction via generative convolutional neural networks based regression.

Xiaodong Ning, Lina Yao, Xianzhi Wang, Boualem Benatallah, Manqing Dong, Shuai Zhang

Pattern Recognit. Lett., 2020

Software expert discovery via knowledge domain embeddings in a collaborative network.

Chaoran Huang, Lina Yao, Xianzhi Wang, Boualem Benatallah, Xiang Zhang

Pattern Recognit. Lett., 2020

Opinion fraud detection via neural autoencoder decision forest.

Manqing Dong, Lina Yao, Xianzhi Wang, Boualem Benatallah, Chaoran Huang, Xiaodong Ning

Pattern Recognit. Lett., 2020

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

May S. Altulyan, Lina Yao, Salil S. Kanhere, Xianzhi Wang, Chaoran Huang

Multim. Tools Appl., 2020

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

Yang Xiao, Qingqi Pei, Lina Yao, Shui Yu, Lei Bai, Xianzhi Wang

J. Netw. Comput. Appl., 2020

Adversarial Multi-view Networks for Activity Recognition.

Lei Bai, Lina Yao, Xianzhi Wang, Salil S. Kanhere, Bin Guo, Zhiwen Yu

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2020

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

Yang Xiao, Lina Yao, Qingqi Pei, Xianzhi Wang, Jian Yang, Quan Z. Sheng

IEEE Intell. Syst., 2020

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

Yang Xiao, Qingqi Pei, Lina Yao, Xianzhi Wang

Expert Syst. Appl., 2020

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

Zhe Liu, Xianzhi Wang, Lina Yao, Jake An, Lei Bai, Ee-Peng Lim

CoRR, 2020

Recommender Systems for the Internet of Things: A Survey.

May S. Altulyan, Lina Yao, Xianzhi Wang, Chaoran Huang, Salil S. Kanhere, Quan Z. Sheng

CoRR, 2020

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

Hamad Zogan, Xianzhi Wang, Shoaib Jameel, Guandong Xu

CoRR, 2020

NP-PROV: Neural Processes with Position-Relevant-Only Variances.

Xuesong Wang, Lina Yao, Xianzhi Wang, Feiping Nie

CoRR, 2020

Causality Learning: A New Perspective for Interpretable Machine Learning.

Guandong Xu, Tri Dung Duong, Qian Li, Shaowu Liu, Xianzhi Wang

CoRR, 2020

Agglomerative Neural Networks for Multi-view Clustering.

Zhe Liu, Yun Li, Lina Yao, Xianzhi Wang, Feiping Nie

CoRR, 2020

Multi-Center Federated Learning.

Ming Xie, Guodong Long, Tao Shen, Tianyi Zhou, Xianzhi Wang, Jing Jiang

CoRR, 2020

Trust in Recommender Systems: A Deep Learning Perspective.

Manqing Dong, Feng Yuan, Lina Yao, Xianzhi Wang, Xiwei Xu, Liming Zhu

CoRR, 2020

Adversarial Attacks and Detection on Reinforcement Learning-Based Interactive Recommender Systems.

Yuanjiang Cao, Xiaocong Chen, Lina Yao, Xianzhi Wang, Wei Emma Zhang

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Prototype Similarity Learning for Activity Recognition.

Lei Bai, Lina Yao, Xianzhi Wang, Salil S. Kanhere, Yang Xiao

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020

Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting.

Lei Bai, Lina Yao, Can Li, Xianzhi Wang, Can Wang

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Spectrum-Guided Adversarial Disparity Learning.

Zhe Liu, Lina Yao, Lei Bai, Xianzhi Wang, Can Wang

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

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

Licheng Zhang, Xianzhi Wang, Lina Yao, Feng Zheng

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

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

Zhe Liu, Lina Yao, Xianzhi Wang, Lei Bai, Jake An

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Knowledge-guided Deep Reinforcement Learning for Interactive Recommendation.

Xiaocong Chen, Chaoran Huang, Lina Yao, Xianzhi Wang, Wei Liu, Wenjie Zhang

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

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

Licheng Zhang, Xianzhi Wang, Lina Yao, Lin Wu, Feng Zheng

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

MHIVis: Visual Analytics for Exploring Mental Illness of Policyholders in Life Insurance Industry.

Md. Rafiqul Islam, Shaowu Liu, Imran Razzak, Muhammad Ashad Kabir, Xianzhi Wang, Peter Tilocca, Guandong Xu

Proceedings of the 7th International Conference on Behavioural and Social Computing, 2020

2019

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

Xiu Susie Fang, Quan Z. Sheng, Xianzhi Wang, Dianhui Chu, Anne H. H. Ngu

World Wide Web, 2019

Novel Artificial Bee Colony Algorithms for QoS-Aware Service Selection.

Xianzhi Wang, Xiaofei Xu, Quan Z. Sheng, Zhongjie Wang, Lina Yao

IEEE Trans. Serv. Comput., 2019

Trust architecture and reputation evaluation for internet of things.

Juan Chen, Zhihong Tian, Xiang Cui, Lihua Yin, Xianzhi Wang

J. Ambient Intell. Humaniz. Comput., 2019

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

Lina Yao, Xianzhi Wang, Quan Z. Sheng, Schahram Dustdar, Shuai Zhang

IEEE Internet Comput., 2019

Towards Privacy-Preserving Location Sharing over Mobile Online Social Networks.

Juan Chen, Shen Su, Xianzhi Wang

IEICE Trans. Inf. Syst., 2019

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

Xiang Zhang, Lina Yao, Xianzhi Wang, Jessica Monaghan, David McAlpine

CoRR, 2019

Lightweight Anonymous Geometric Routing for Internet of Things.

Yanbin Sun, Zhihong Tian, Yuhang Wang, Mohan Li, Shen Su, Xianzhi Wang, Dunqiu Fan

IEEE Access, 2019

Similarity-Aware Deep Attentive Model for Clickbait Detection.

Manqing Dong, Lina Yao, Xianzhi Wang, Boualem Benatallah, Chaoran Huang

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

Passenger Demand Forecasting with Multi-Task Convolutional Recurrent Neural Networks.

Lei Bai, Lina Yao, Salil S. Kanhere, Zheng Yang, Jing Chu, Xianzhi Wang

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

Dual-stream Self-Attentive Random Forest for False Information Detection.

Manqing Dong, Lina Yao, Xianzhi Wang, Boualem Benatallah, Xiang Zhang, Quan Z. Sheng

Proceedings of the International Joint Conference on Neural Networks, 2019

STG2Seq: Spatial-Temporal Graph to Sequence Model for Multi-step Passenger Demand Forecasting.

Lei Bai, Lina Yao, Salil S. Kanhere, Xianzhi Wang, Quan Z. Sheng

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Know Your Mind: Adaptive Cognitive Activity Recognition with Reinforced CNN.

Xiang Zhang, Lina Yao, Xianzhi Wang, Wenjie Zhang, Shuai Zhang, Yunhao Liu

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

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

Lei Bai, Lina Yao, Salil S. Kanhere, Xianzhi Wang, Wei Liu, Zheng Yang

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Expert2Vec: Distributed Expert Representation Learning in Question Answering Community.

Xiaocong Chen, Chaoran Huang, Xiang Zhang, Xianzhi Wang, Wei Liu, Lina Yao

Proceedings of the Advanced Data Mining and Applications - 15th International Conference, 2019

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

May S. Altulyan, Chaoran Huang, Lina Yao, Xianzhi Wang, Salil S. Kanhere, Yuanjiang Cao

Proceedings of the Advanced Data Mining and Applications - 15th International Conference, 2019

Zero-Shot Object Detection with Textual Descriptions.

Zhihui Li, Lina Yao, Xiaoqin Zhang, Xianzhi Wang, Salil S. Kanhere, Huaxiang Zhang

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Collaborative text categorization via exploiting sparse coefficients.

Lina Yao, Quan Z. Sheng, Xianzhi Wang, Shengrui Wang, Xue Li, Sen Wang

World Wide Web, 2018

Collaborative Location Recommendation by Integrating Multi-dimensional Contextual Information.

Lina Yao, Quan Z. Sheng, Xianzhi Wang, Wei Emma Zhang, Yongrui Qin

ACM Trans. Internet Techn., 2018

Compressive Representation for Device-Free Activity Recognition with Passive RFID Signal Strength.

Lina Yao, Quan Z. Sheng, Xue Li, Tao Gu, Mingkui Tan, Xianzhi Wang, Sen Wang, Wenjie Ruan

IEEE Trans. Mob. Comput., 2018

Collaborative Fall Detection Using Smart Phone and Kinect.

Xue Li, Lanshun Nie, Hanchuan Xu, Xianzhi Wang

Mob. Networks Appl., 2018

A Survey on Expert Recommendation in Community Question Answering.

Xianzhi Wang, Chaoran Huang, Lina Yao, Boualem Benatallah, Manqing Dong

J. Comput. Sci. Technol., 2018

GrCAN: Gradient Boost Convolutional Autoencoder with Neural Decision Forest.

Manqing Dong, Lina Yao, Xianzhi Wang, Boualem Benatallah, Shuai Zhang

CoRR, 2018

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

Xiang Zhang, Lina Yao, Xianzhi Wang, Wenjie Zhang, Zheng Yang, Yunhao Liu

CoRR, 2018

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

Lina Yao, Quan Z. Sheng, Boualem Benatallah, Schahram Dustdar, Xianzhi Wang, Ali Shemshadi, Salil S. Kanhere

Computing, 2018

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

Xiaofei Xu, Gianmario Motta, Zhiying Tu, Hanchuan Xu, Zhongjie Wang, Xianzhi Wang

Computing, 2018

Data-Augmented Regression with Generative Convolutional Network.

Xiaodong Ning, Lina Yao, Xianzhi Wang, Boualem Benatallah, Shuai Zhang, Xiang Zhang

Proceedings of the Web Information Systems Engineering - WISE 2018, 2018

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

Manqing Dong, Lina Yao, Xianzhi Wang, Boualem Benatallah, Quan Z. Sheng, Hao Huang

Proceedings of the Web Information Systems Engineering - WISE 2018, 2018

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

Xiaodong Ning, Lina Yao, Xianzhi Wang, Boualem Benatallah, Flora D. Salim, Pari Delir Haghighi

Proceedings of the 15th EAI International Conference on Mobile and Ubiquitous Systems: Computing, 2018

Automatic Device Classification from Network Traffic Streams of Internet of Things.

Lei Bai, Lina Yao, Salil S. Kanhere, Xianzhi Wang, Zheng Yang

Proceedings of the 43rd IEEE Conference on Local Computer Networks, 2018

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

Kaixuan Chen, Lina Yao, Xianzhi Wang, Dalin Zhang, Tao Gu, Zhiwen Yu, Zheng Yang

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Expert Recommendation via Tensor Factorization with Regularizing Hierarchical Topical Relationships.

Chaoran Huang, Lina Yao, Xianzhi Wang, Boualem Benatallah, Shuai Zhang, Manqing Dong

Proceedings of the Service-Oriented Computing - 16th International Conference, 2018

2017

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

Xiaofei Xu, Zhizhong Liu, Zhongjie Wang, Quan Z. Sheng, Jian Yu, Xianzhi Wang

Future Gener. Comput. Syst., 2017

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

Kaixuan Chen, Lina Yao, Tao Gu, Zhiwen Yu, Xianzhi Wang, Dalin Zhang

CoRR, 2017

From Appearance to Essence: Comparing Truth Discovery Methods without Using Ground Truth.

Xiu Susie Fang, Quan Z. Sheng, Xianzhi Wang, Wei Emma Zhang, Anne H. H. Ngu

CoRR, 2017

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

Xiu Susie Fang, Quan Z. Sheng, Xianzhi Wang, Anne H. H. Ngu

CoRR, 2017

Enhancing Mind Controlled Smart Living Through Recurrent Neural Networks.

Xiang Zhang, Lina Yao, Chaoran Huang, Quan Z. Sheng, Xianzhi Wang

CoRR, 2017

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

Xiang Zhang, Lina Yao, Kaixuan Chen, Xianzhi Wang, Quan Z. Sheng, Tao Gu

CoRR, 2017

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

Xiu Susie Fang, Quan Z. Sheng, Xianzhi Wang, Anne H. H. Ngu

Proceedings of the 26th International Conference on World Wide Web Companion, 2017

Multi-Person Brain Activity Recognition via Comprehensive EEG Signal Analysis.

Xiang Zhang, Lina Yao, Dalin Zhang, Xianzhi Wang, Quan Z. Sheng, Tao Gu

Proceedings of the 14th EAI International Conference on Mobile and Ubiquitous Systems: Computing, 2017

Privacy Protection for Location Sharing Services in Social Networks.

Hui Wang, Juan Chen, Xianzhi Wang, Xin Liu, Zhenyu Na

Proceedings of the Machine Learning and Intelligent Communications, 2017

Reputation-Based Framework for Internet of Things.

Juan Chen, Zheng-Kui Lin, Xin Liu, Zhi-An Deng, Xianzhi Wang

Proceedings of the Machine Learning and Intelligent Communications, 2017

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

Usama Salama, Lina Yao, Xianzhi Wang, Hye-Young Paik, Amin Beheshti

Proceedings of the 2017 IEEE International Conference on Web Services, 2017

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

Chaoran Huang, Lina Yao, Xianzhi Wang, Boualem Benatallah, Quan Z. Sheng

Proceedings of the 2017 IEEE International Conference on Web Services, 2017

Intent Recognition in Smart Living Through Deep Recurrent Neural Networks.

Xiang Zhang, Lina Yao, Chaoran Huang, Quan Z. Sheng, Xianzhi Wang

Proceedings of the Neural Information Processing - 24th International Conference, 2017

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

Xiu Susie Fang, Quan Z. Sheng, Xianzhi Wang, Mahmoud Barhamgi, Lina Yao, Anne H. H. Ngu

Proceedings of the Conceptual Modeling - 36th International Conference, 2017

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

Xiaodong Ning, Lina Yao, Xianzhi Wang, Boualem Benatallah

Proceedings of the Advanced Data Mining and Applications - 13th International Conference, 2017

Building Entity Graphs for the Web of Things Management.

Lina Yao, Quan Z. Sheng, Anne H. H. Ngu, Xue Li, Boualem Benatallah, Xianzhi Wang

Proceedings of the Managing the Web of Things: Linking the Real World to the Web, 2017

2016

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

Xiaofei Xu, Gianmario Motta, Xianzhi Wang, Zhiying Tu, Hanchuan Xu

CoRR, 2016

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

Kai Li, Xiaodong Wang, Zhenhua Dong, Xianzhi Wang, Josep M. Guerrero, Juan C. Vasquez, Qingsong Wang

Proceedings of the IECON 2016, 2016

PLMwsp: Probabilistic Latent Model for Web Service QoS Prediction.

Bobaker Mohamed A. Madi, Quan Z. Sheng, Lina Yao, Yongrui Qin, Xianzhi Wang

Proceedings of the IEEE International Conference on Web Services, 2016

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

Lina Yao, Boualem Benatallah, Xianzhi Wang, Nguyen Khoi Tran, Qinghua Lu

Proceedings of the Service-Oriented Computing - 14th International Conference, 2016

Empowering Truth Discovery with Multi-Truth Prediction.

Xianzhi Wang, Quan Z. Sheng, Lina Yao, Xue Li, Xiu Susie Fang, Xiaofei Xu, Boualem Benatallah

Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Truth Discovery via Exploiting Implications from Multi-Source Data.

Xianzhi Wang, Quan Z. Sheng, Lina Yao, Xue Li, Xiu Susie Fang, Xiaofei Xu, Boualem Benatallah

Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

An Ensemble Approach for Better Truth Discovery.

Xiu Susie Fang, Quan Z. Sheng, Xianzhi Wang

Proceedings of the Advanced Data Mining and Applications - 12th International Conference, 2016

2015

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

Lina Yao, Quan Z. Sheng, Boualem Benatallah, Schahram Dustdar, Ali Shemshadi, Xianzhi Wang, Anne H. H. Ngu

CoRR, 2015

Context-aware Point-of-Interest Recommendation Using Tensor Factorization with Social Regularization.

Lina Yao, Quan Z. Sheng, Yongrui Qin, Xianzhi Wang, Ali Shemshadi, Qi He

Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2015

Service Recommendation for Mashup Composition with Implicit Correlation Regularization.

Lina Yao, Xianzhi Wang, Quan Z. Sheng, Wenjie Ruan, Wei Zhang

Proceedings of the 2015 IEEE International Conference on Web Services, 2015

A Framework Towards Model Driven Business Process Compliance and Monitoring.

Kala Kotamarthi, Xianzhi Wang, Georg Grossmann, Quan Z. Sheng, Sarath Indrakanti

Proceedings of the 19th IEEE International Enterprise Distributed Object Computing Workshop, 2015

An Integrated Bayesian Approach for Effective Multi-Truth Discovery.

Xianzhi Wang, Quan Z. Sheng, Xiu Susie Fang, Lina Yao, Xiaofei Xu, Xue Li

Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

Approximate Truth Discovery via Problem Scale Reduction.

Xianzhi Wang, Quan Z. Sheng, Xiu Susie Fang, Xue Li, Xiaofei Xu, Lina Yao

Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

Ontology Augmentation via Attribute Extraction from Multiple Types of Sources.

Xiu Susie Fang, Xianzhi Wang, Quan Z. Sheng

Proceedings of the Databases Theory and Applications, 2015

2013

Mass Customization Oriented and Cost-Effective Service Network.

Zhongjie Wang, Xiaofei Xu, Xianzhi Wang

Proceedings of the Enterprise Interoperability - 5th International IFIP Working Conference, 2013

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

Xianzhi Wang, Zhongjie Wang, Xiaofei Xu

Proceedings of the 2013 IEEE 20th International Conference on Web Services, Santa Clara, CA, USA, June 28, 2013

A Novel Service Composition Approach for Application Migration to Cloud.

Xianzhi Wang, Xuejun Zhuo, Bo Yang, Fan Jing Meng, Pu Jin, Woody Huang, Christopher C. Young, Catherine Zhang, Jing Min Xu, Michael Montinarelli

Proceedings of the Service-Oriented Computing - 11th International Conference, 2013

2012

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

Xianzhi Wang, Zhongjie Wang, Xiaofei Xu

Int. J. Web Serv. Res., 2012

Analytic Profit Optimization of Service-Based Systems.

Xianzhi Wang, Zhongjie Wang, Xiaofei Xu

Proceedings of the 2012 IEEE 19th International Conference on Web Services, 2012

2011

Semi-empirical Service Composition: A Clustering Based Approach.

Xianzhi Wang, Zhongjie Wang, Xiaofei Xu

Proceedings of the IEEE International Conference on Web Services, 2011

Price Heuristics for Highly Efficient Profit Optimization of Service Composition.

Xianzhi Wang, Zhongjie Wang, Xiaofei Xu

Proceedings of the IEEE International Conference on Services Computing, 2011

2010

A Service Composition Approach for the Fulfillment of Temporally Sequential Requirements.

Xianzhi Wang, Zhongjie Wang, Xiaofei Xu, Alice Liu, Dian-Hui Chu

Proceedings of the 6th World Congress on Services, 2010

A Generalized Service Resource Management Framework.

Yanqiu Meng, Zhongjie Wang, Xiaofei Xu, Xianzhi Wang

Proceedings of the International Conference on Service Sciences, 2010

Life Cycle of Virtualized Service Resource in BIRIS Environment.

Xiaofei Xu, Xianzhi Wang, Zhongjie Wang

Proceedings of the Exploring Services Science - First International Conference, 2010

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

Zhongjie Wang, Xiaofei Xu, Dian-Hui Chu, Xianzhi Wang

Proceedings of the IEEE 7th International Conference on e-Business Engineering, 2010