The Bundling of Multiple Requirements for Maximizing the Utilization of Service Resources. - Zhongjie Wang 003; Xiaofei Xu; Dian-Hui Chu; Xianzhi Wang 001 (ICEBE, 2010)

Life Cycle of Virtualized Service Resource in BIRIS Environment. - Xiaofei Xu; Xianzhi Wang 001; Zhongjie Wang 003 (IESS, 2010)

A Generalized Service Resource Management Framework. - Yanqiu Meng; Zhongjie Wang 003; Xiaofei Xu; Xianzhi Wang 001 (ICSS, 2010)

A Service Composition Approach for the Fulfillment of Temporally Sequential Requirements. - Xianzhi Wang 001; Zhongjie Wang 003; Xiaofei Xu; Alice Liu; Dian-Hui Chu (SERVICES, 2010)

Price Heuristics for Highly Efficient Profit Optimization of Service Composition. - Xianzhi Wang 001; Zhongjie Wang 003; Xiaofei Xu (IEEE SCC, 2011)

Semi-empirical Service Composition: A Clustering Based Approach. - Xianzhi Wang 001; Zhongjie Wang 003; Xiaofei Xu (ICWS, 2011)

Analytic Profit Optimization of Service-Based Systems. - Xianzhi Wang 001; Zhongjie Wang 003; Xiaofei Xu (ICWS, 2012)

Effective Service Composition in Large Scale Service Market: An Empirical Evidence Enhanced Approach. - Xianzhi Wang 001; Zhongjie Wang 003; Xiaofei Xu (Int. J. Web Serv. Res., 2012)

A Novel Service Composition Approach for Application Migration to Cloud. - Xianzhi Wang 001; Xuejun Zhuo; Bo Yang 013; Fan Jing Meng; Pu Jin; Woody Huang; Christopher C. Young; Catherine Zhang 001; Jing Min Xu; Michael Montinarelli (ICSOC, 2013)

An Improved Artificial Bee Colony Approach to QoS-Aware Service Selection. - Xianzhi Wang 001; Zhongjie Wang 003; Xiaofei Xu (ICWS, 2013)

Mass Customization Oriented and Cost-Effective Service Network. - Zhongjie Wang 003; Xiaofei Xu; Xianzhi Wang 001 (IWEI, 2013)

Ontology Augmentation via Attribute Extraction from Multiple Types of Sources. - Xiu Susie Fang; Xianzhi Wang 001; Quan Z. Sheng (ADC, 2015)

Approximate Truth Discovery via Problem Scale Reduction. - Xianzhi Wang 001; Quan Z. Sheng; Xiu Susie Fang; Xue Li 001; Xiaofei Xu; Lina Yao 001 (CIKM, 2015)

An Integrated Bayesian Approach for Effective Multi-Truth Discovery. - Xianzhi Wang 001; Quan Z. Sheng; Xiu Susie Fang; Lina Yao 001; Xiaofei Xu; Xue Li 001 (CIKM, 2015)

A Framework Towards Model Driven Business Process Compliance and Monitoring. - Kala Kotamarthi; Xianzhi Wang 001; Georg Grossmann; Quan Z. Sheng; Sarath Indrakanti (EDOC Workshops, 2015)

Service Recommendation for Mashup Composition with Implicit Correlation Regularization. - Lina Yao 001; Xianzhi Wang 001; Quan Z. Sheng; Wenjie Ruan; Wei Zhang 098 (ICWS, 2015)

Context-aware Point-of-Interest Recommendation Using Tensor Factorization with Social Regularization. - Lina Yao 001; Quan Z. Sheng; Yongrui Qin; Xianzhi Wang 001; Ali Shemshadi; Qi He (SIGIR, 2015)

Up in the Air: When Homes Meet the Web of Things. - Lina Yao 001; Quan Z. Sheng; Boualem Benatallah; Schahram Dustdar; Ali Shemshadi; Xianzhi Wang 001; Anne H. H. Ngu (CoRR, 2015)

An Ensemble Approach for Better Truth Discovery. - Xiu Susie Fang; Quan Z. Sheng; Xianzhi Wang 001 (ADMA, 2016)

Truth Discovery via Exploiting Implications from Multi-Source Data. - Xianzhi Wang 001; Quan Z. Sheng; Lina Yao 001; Xue Li 001; Xiu Susie Fang; Xiaofei Xu; Boualem Benatallah (CIKM, 2016)

Empowering Truth Discovery with Multi-Truth Prediction. - Xianzhi Wang 001; Quan Z. Sheng; Lina Yao 001; Xue Li 001; Xiu Susie Fang; Xiaofei Xu; Boualem Benatallah (CIKM, 2016)

Context as a Service: Realizing Internet of Things-Aware Processes for the Independent Living of the Elderly. - Lina Yao 001; Boualem Benatallah; Xianzhi Wang 001; Nguyen Khoi Tran 001; Qinghua Lu 001 (ICSOC, 2016)

PLMwsp: Probabilistic Latent Model for Web Service QoS Prediction. - Bobaker Mohamed A. Madi; Quan Z. Sheng; Lina Yao 001; Yongrui Qin; Xianzhi Wang 001 (ICWS, 2016)

Elimination of zero sequence circulating current between parallel operating three-level inverters. - Kai Li 014; Xiaodong Wang; Zhenhua Dong; Xianzhi Wang 001; Josep M. Guerrero; Juan C. Vasquez 001; Qingsong Wang (IECON, 2016)

A New Paradigm of Software Service Engineering in the Era of Big Data and Big Service. - Xiaofei Xu; Gianmario Motta; Xianzhi Wang 001; Zhiying Tu; Hanchuan Xu (CoRR, 2016)

Building Entity Graphs for the Web of Things Management. - Lina Yao 001; Quan Z. Sheng; Anne H. H. Ngu; Xue Li 001; Boualem Benatallah; Xianzhi Wang 001 (Managing the Web of Things, 2017)

Calling for Response: Automatically Distinguishing Situation-Aware Tweets During Crises. - Xiaodong Ning; Lina Yao 001; Xianzhi Wang 001; Boualem Benatallah (ADMA, 2017)

SourceVote: Fusing Multi-valued Data via Inter-source Agreements. - Xiu Susie Fang; Quan Z. Sheng; Xianzhi Wang 001; Mahmoud Barhamgi; Lina Yao 001; Anne H. H. Ngu (ER, 2017)

Intent Recognition in Smart Living Through Deep Recurrent Neural Networks. - Xiang Zhang 012; Lina Yao 001; Chaoran Huang 001; Quan Z. Sheng; Xianzhi Wang 001 (ICONIP (2), 2017)

Expert as a Service: Software Expert Recommendation via Knowledge Domain Embeddings in Stack Overflow. - Chaoran Huang 001; Lina Yao 001; Xianzhi Wang 001; Boualem Benatallah; Quan Z. Sheng (ICWS, 2017)

Multi-Level Privacy-Preserving Access Control as a Service for Personal Healthcare Monitoring. - Usama Salama; Lina Yao 001; Xianzhi Wang 001; Hye-Young Paik; Amin Beheshti (ICWS, 2017)

Reputation-Based Framework for Internet of Things. - Juan Chen; Zheng-Kui Lin; Xin Liu 009; Zhi-An Deng; Xianzhi Wang 001 (MLICOM (1), 2017)

Privacy Protection for Location Sharing Services in Social Networks. - Hui Wang; Juan Chen; Xianzhi Wang 001; Xin Liu 009; Zhenyu Na (MLICOM (1), 2017)

Multi-Person Brain Activity Recognition via Comprehensive EEG Signal Analysis. - Xiang Zhang 012; Lina Yao 001; Dalin Zhang 001; Xianzhi Wang 001; Quan Z. Sheng; Tao Gu 001 (MobiQuitous, 2017)

Value Veracity Estimation for Multi-Truth Objects via a Graph-Based Approach. - Xiu Susie Fang; Quan Z. Sheng; Xianzhi Wang 001; Anne H. H. Ngu (WWW (Companion Volume), 2017)

DeepKey: An EEG and Gait Based Dual-Authentication System. - Xiang Zhang 012; Lina Yao 001; Kaixuan Chen 001; Xianzhi Wang 001; Quan Z. Sheng; Tao Gu 001 (CoRR, 2017)

Enhancing Mind Controlled Smart Living Through Recurrent Neural Networks. - Xiang Zhang 012; Lina Yao 001; Chaoran Huang 001; Quan Z. Sheng; Xianzhi Wang 001 (CoRR, 2017)

SmartMTD: A Graph-Based Approach for Effective Multi-Truth Discovery. - Xiu Susie Fang; Quan Z. Sheng; Xianzhi Wang 001; Anne H. H. Ngu (CoRR, 2017)

From Appearance to Essence: Comparing Truth Discovery Methods without Using Ground Truth. - Xiu Susie Fang; Quan Z. Sheng; Xianzhi Wang 001; Wei Emma Zhang; Anne H. H. Ngu (CoRR, 2017)

Fullie and Wiselie: A Dual-Stream Recurrent Convolutional Attention Model for Activity Recognition. - Kaixuan Chen 001; Lina Yao 001; Tao Gu 001; Zhiwen Yu 001; Xianzhi Wang 001; Dalin Zhang 001 (CoRR, 2017)

S-ABC: A paradigm of service domain-oriented artificial bee colony algorithms for service selection and composition. - Xiaofei Xu; Zhizhong Liu; Zhongjie Wang 003; Quan Z. Sheng; Jian Yu 002; Xianzhi Wang 001 (Future Gener. Comput. Syst., 2017)

Expert Recommendation via Tensor Factorization with Regularizing Hierarchical Topical Relationships. - Chaoran Huang 001; Lina Yao 001; Xianzhi Wang 001; Boualem Benatallah; Shuai Zhang 007; Manqing Dong (ICSOC, 2018)

Interpretable Parallel Recurrent Neural Networks with Convolutional Attentions for Multi-Modality Activity Modeling. - Kaixuan Chen 001; Lina Yao 001; Xianzhi Wang 001; Dalin Zhang 001; Tao Gu 001; Zhiwen Yu 001; Zheng Yang 002 (IJCNN, 2018)

Automatic Device Classification from Network Traffic Streams of Internet of Things. - Lei Bai 001; Lina Yao 001; Salil S. Kanhere; Xianzhi Wang 001; Zheng Yang 002 (LCN, 2018)

Predicting Citywide Passenger Demand via Reinforcement Learning from Spatio-Temporal Dynamics. - Xiaodong Ning; Lina Yao 001; Xianzhi Wang 001; Boualem Benatallah; Flora D. Salim; Pari Delir Haghighi (MobiQuitous, 2018)

DUAL: A Deep Unified Attention Model with Latent Relation Representations for Fake News Detection. - Manqing Dong; Lina Yao 001; Xianzhi Wang 001; Boualem Benatallah; Quan Z. Sheng; Hao Huang (WISE (1), 2018)

Data-Augmented Regression with Generative Convolutional Network. - Xiaodong Ning; Lina Yao 001; Xianzhi Wang 001; Boualem Benatallah; Shuai Zhang 007; Xiang Zhang 012 (WISE (2), 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 003; Xianzhi Wang 001 (Computing, 2018)

WITS: an IoT-endowed computational framework for activity recognition in personalized smart homes. - Lina Yao 001; Quan Z. Sheng; Boualem Benatallah; Schahram Dustdar; Xianzhi Wang 001; Ali Shemshadi; Salil S. Kanhere (Computing, 2018)

Know Your Mind: Adaptive Brain Signal Classification with Reinforced Attentive Convolutional Neural Networks. - Xiang Zhang 012; Lina Yao 001; Xianzhi Wang 001; Wenjie Zhang 001; Zheng Yang 002; Yunhao Liu 001 (CoRR, 2018)

GrCAN: Gradient Boost Convolutional Autoencoder with Neural Decision Forest. - Manqing Dong; Lina Yao 001; Xianzhi Wang 001; Boualem Benatallah; Shuai Zhang 007 (CoRR, 2018)

A Survey on Expert Recommendation in Community Question Answering. - Xianzhi Wang 001; Chaoran Huang 001; Lina Yao 001; Boualem Benatallah; Manqing Dong (J. Comput. Sci. Technol., 2018)

Collaborative Fall Detection Using Smart Phone and Kinect. - Xue Li 001; Lanshun Nie; Hanchuan Xu; Xianzhi Wang 001 (Mob. Networks Appl., 2018)

Compressive Representation for Device-Free Activity Recognition with Passive RFID Signal Strength. - Lina Yao 001; Quan Z. Sheng; Xue Li 001; Tao Gu 001; Mingkui Tan; Xianzhi Wang 001; Sen Wang 001; Wenjie Ruan (IEEE Trans. Mob. Comput., 2018)

Collaborative Location Recommendation by Integrating Multi-dimensional Contextual Information. - Lina Yao 001; Quan Z. Sheng; Xianzhi Wang 001; Wei Emma Zhang; Yongrui Qin (ACM Trans. Internet Techn., 2018)

Collaborative text categorization via exploiting sparse coefficients. - Lina Yao 001; Quan Z. Sheng; Xianzhi Wang 001; Shengrui Wang; Xue Li 001; Sen Wang 001 (World Wide Web, 2018)

Zero-Shot Object Detection with Textual Descriptions. - Zhihui Li 001; Lina Yao 001; Xiaoqin Zhang 002; Xianzhi Wang 001; Salil S. Kanhere; Huaxiang Zhang 001 (AAAI, 2019)

Reminder Care System: An Activity-Aware Cross-Device Recommendation System. - May S. Altulyan; Chaoran Huang 001; Lina Yao 001; Xianzhi Wang 001; Salil S. Kanhere; Yuanjiang Cao (ADMA, 2019)

Expert2Vec: Distributed Expert Representation Learning in Question Answering Community. - Xiaocong Chen; Chaoran Huang 001; Xiang Zhang 012; Xianzhi Wang 001; Wei Liu 101; Lina Yao 001 (ADMA, 2019)

Spatio-Temporal Graph Convolutional and Recurrent Networks for Citywide Passenger Demand Prediction. - Lei Bai 001; Lina Yao 001; Salil S. Kanhere; Xianzhi Wang 001; Wei Liu 101; Zheng Yang 002 (CIKM, 2019)

Know Your Mind: Adaptive Cognitive Activity Recognition with Reinforced CNN. - Xiang Zhang 012; Lina Yao 001; Xianzhi Wang 001; Wenjie Zhang 001; Shuai Zhang 007; Yunhao Liu 001 (ICDM, 2019)

STG2Seq: Spatial-Temporal Graph to Sequence Model for Multi-step Passenger Demand Forecasting. - Lei Bai 001; Lina Yao 001; Salil S. Kanhere; Xianzhi Wang 001; Quan Z. Sheng (IJCAI, 2019)

Dual-stream Self-Attentive Random Forest for False Information Detection. - Manqing Dong; Lina Yao 001; Xianzhi Wang 001; Boualem Benatallah; Xiang Zhang 012; Quan Z. Sheng (IJCNN, 2019)

Passenger Demand Forecasting with Multi-Task Convolutional Recurrent Neural Networks. - Lei Bai 001; Lina Yao 001; Salil S. Kanhere; Zheng Yang 002; Jing Chu; Xianzhi Wang 001 (PAKDD (2), 2019)

Similarity-Aware Deep Attentive Model for Clickbait Detection. - Manqing Dong; Lina Yao 001; Xianzhi Wang 001; Boualem Benatallah; Chaoran Huang 001 (PAKDD (2), 2019)

Lightweight Anonymous Geometric Routing for Internet of Things. - Yanbin Sun; Zhihong Tian; Yuhang Wang; Mohan Li; Shen Su; Xianzhi Wang 001; Dunqiu Fan (IEEE Access, 2019)

A Survey on Deep Learning based Brain Computer Interface: Recent Advances and New Frontiers. - Xiang Zhang 012; Lina Yao 001; Xianzhi Wang 001; Jessica Monaghan; David McAlpine (CoRR, 2019)

Towards Privacy-Preserving Location Sharing over Mobile Online Social Networks. - Juan Chen; Shen Su; Xianzhi Wang 001 (IEICE Trans. Inf. Syst., 2019)

Recommendations on the Internet of Things: Requirements, Challenges, and Directions. - Lina Yao 001; Xianzhi Wang 001; Quan Z. Sheng; Schahram Dustdar; Shuai Zhang 007 (IEEE Internet Comput., 2019)

Trust architecture and reputation evaluation for internet of things. - Juan Chen; Zhihong Tian; Xiang Cui; Lihua Yin; Xianzhi Wang 001 (J. Ambient Intell. Humaniz. Comput., 2019)

Novel Artificial Bee Colony Algorithms for QoS-Aware Service Selection. - Xianzhi Wang 001; Xiaofei Xu; Quan Z. Sheng; Zhongjie Wang 003; Lina Yao 001 (IEEE Trans. Serv. Comput., 2019)

SmartVote: a full-fledged graph-based model for multi-valued truth discovery. - Xiu Susie Fang; Quan Z. Sheng; Xianzhi Wang 001; Dianhui Chu; Anne H. H. Ngu (World Wide Web, 2019)

MHIVis: Visual Analytics for Exploring Mental Illness of Policyholders in Life Insurance Industry. - Md. Rafiqul Islam 004; Shaowu Liu; Imran Razzak; Muhammad Ashad Kabir; Xianzhi Wang 001; Peter Tilocca; Guandong Xu (BESC, 2020)

Zero-Shot Object Detection via Learning an Embedding from Semantic Space to Visual Space. - Licheng Zhang; Xianzhi Wang 001; Lina Yao 001; Lin Wu; Feng Zheng (IJCAI, 2020)

Knowledge-guided Deep Reinforcement Learning for Interactive Recommendation. - Xiaocong Chen; Chaoran Huang 001; Lina Yao 001; Xianzhi Wang 001; Wei Liu 101; Wenjie Zhang 001 (IJCNN, 2020)

Are You A Risk Taker? Adversarial Learning of Asymmetric Cross-Domain Alignment for Risk Tolerance Prediction. - Zhe Liu 023; Lina Yao 001; Xianzhi Wang 001; Lei Bai 001; Jake An (IJCNN, 2020)

Zero-Shot Object Detection with Textual Descriptions Using Convolutional Neural Networks. - Licheng Zhang; Xianzhi Wang 001; Lina Yao 001; Feng Zheng (IJCNN, 2020)

Spectrum-Guided Adversarial Disparity Learning. - Zhe Liu 023; Lina Yao 001; Lei Bai 001; Xianzhi Wang 001; Can Wang 004 (KDD, 2020)

Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting. - Lei Bai 001; Lina Yao 001; Can Li; Xianzhi Wang 001; Can Wang 004 (NeurIPS, 2020)

Prototype Similarity Learning for Activity Recognition. - Lei Bai 001; Lina Yao 001; Xianzhi Wang 001; Salil S. Kanhere; Yang Xiao 014 (PAKDD (1), 2020)

Adversarial Attacks and Detection on Reinforcement Learning-Based Interactive Recommender Systems. - Yuanjiang Cao; Xiaocong Chen; Lina Yao 001; Xianzhi Wang 001; Wei Emma Zhang (SIGIR, 2020)

Trust in Recommender Systems: A Deep Learning Perspective. - Manqing Dong; Feng Yuan; Lina Yao 001; Xianzhi Wang 001; Xiwei Xu 001; Liming Zhu 001 (CoRR, 2020)

Multi-Center Federated Learning. - Ming Xie; Guodong Long; Tao Shen 001; Tianyi Zhou 001; Xianzhi Wang 001; Jing Jiang 002 (CoRR, 2020)

Agglomerative Neural Networks for Multi-view Clustering. - Zhe Liu 023; Yun Li; Lina Yao 001; Xianzhi Wang 001; Feiping Nie 001 (CoRR, 2020)

Causality Learning: A New Perspective for Interpretable Machine Learning. - Guandong Xu; Tri Dung Duong; Qian Li 003; Shaowu Liu; Xianzhi Wang 001 (CoRR, 2020)

NP-PROV: Neural Processes with Position-Relevant-Only Variances. - Xuesong Wang 002; Lina Yao 001; Xianzhi Wang 001; Feiping Nie 001 (CoRR, 2020)

Depression Detection with Multi-Modalities Using a Hybrid Deep Learning Model on Social Media. - Hamad Zogan; Xianzhi Wang 001; Shoaib Jameel; Guandong Xu (CoRR, 2020)

Recommender Systems for the Internet of Things: A Survey. - May S. Altulyan; Lina Yao 001; Xianzhi Wang 001; Chaoran Huang 001; Salil S. Kanhere; Quan Z. Sheng (CoRR, 2020)

Face to Purchase: Predicting Consumer Choices with Structured Facial and Behavioral Traits Embedding. - Zhe Liu 023; Xianzhi Wang 001; Lina Yao 001; Jake An; Lei Bai 001; Ee-Peng Lim (CoRR, 2020)

RecRisk: An enhanced recommendation model with multi-facet risk control. - Yang Xiao 014; Qingqi Pei; Lina Yao 001; Xianzhi Wang 001 (Expert Syst. Appl., 2020)

MGNN: Mutualistic Graph Neural Network for Joint Friend and Item Recommendation. - Yang Xiao 014; Lina Yao 001; Qingqi Pei; Xianzhi Wang 001; Jian Yang 001; Quan Z. Sheng (IEEE Intell. Syst., 2020)

Adversarial Multi-view Networks for Activity Recognition. - Lei Bai 001; Lina Yao 001; Xianzhi Wang 001; Salil S. Kanhere; Bin Guo 001; Zhiwen Yu 001 (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2020)

An enhanced probabilistic fairness-aware group recommendation by incorporating social activeness. - Yang Xiao 014; Qingqi Pei; Lina Yao 001; Shui Yu 001; Lei Bai 001; Xianzhi Wang 001 (J. Netw. Comput. Appl., 2020)

A unified framework for data integrity protection in people-centric smart cities. - May S. Altulyan; Lina Yao 001; Salil S. Kanhere; Xianzhi Wang 001; Chaoran Huang 001 (Multim. Tools Appl., 2020)

Opinion fraud detection via neural autoencoder decision forest. - Manqing Dong; Lina Yao 001; Xianzhi Wang 001; Boualem Benatallah; Chaoran Huang 001; Xiaodong Ning (Pattern Recognit. Lett., 2020)

Software expert discovery via knowledge domain embeddings in a collaborative network. - Chaoran Huang 001; Lina Yao 001; Xianzhi Wang 001; Boualem Benatallah; Xiang Zhang 012 (Pattern Recognit. Lett., 2020)

Rating prediction via generative convolutional neural networks based regression. - Xiaodong Ning; Lina Yao 001; Xianzhi Wang 001; Boualem Benatallah; Manqing Dong; Shuai Zhang 007 (Pattern Recognit. Lett., 2020)

Deep learning for misinformation detection on online social networks: a survey and new perspectives. - Md. Rafiqul Islam 004; Shaowu Liu; Xianzhi Wang 001; Guandong Xu (Soc. Netw. Anal. Min., 2020)

From Appearance to Essence: Comparing Truth Discovery Methods without Using Ground Truth. - Xiu Susie Fang; Quan Z. Sheng; Xianzhi Wang 001; Wei Emma Zhang; Anne H. H. Ngu; Jian Yang 001 (ACM Trans. Intell. Syst. Technol., 2020)

A Semisupervised Recurrent Convolutional Attention Model for Human Activity Recognition. - Kaixuan Chen 001; Lina Yao 001; Dalin Zhang 001; Xianzhi Wang 001; Xiaojun Chang; Feiping Nie 001 (IEEE Trans. Neural Networks Learn. Syst., 2020)

Task Aligned Generative Meta-learning for Zero-shot Learning. - Zhe Liu 023; Yun Li; Lina Yao 001; Xianzhi Wang 001; Guodong Long (AAAI, 2021)

Contextual Bandit Learning for Activity-Aware Things-of-Interest Recommendation in an Assisted Living Environment. - May S. Altulyan; Chaoran Huang 001; Lina Yao 001; Xianzhi Wang 001; Salil S. Kanhere (ADC, 2021)

Deep Multi-view Spatio-Temporal Network for Urban Crime Prediction. - Usama Salama; Xiaocong Chen; Lina Yao 001; Hye-Young Paik; Xianzhi Wang 001 (ADC, 2021)

ExVis: Explainable Visual Decision Support System for Risk Management. - Md. Rafiqul Islam 004; Jiaming Zhang; Md. Hamjajul Ashmafee; Imran Razzak; Jianlong Zhou; Xianzhi Wang 001; Guandong Xu (BESC, 2021)

A Review of Recent Trends and Industry Prospects for Artificial Intelligence Technologies. - Guangjun Li; Xianzhi Wang 001; Minxi Li (BESC, 2021)

Generative Inverse Deep Reinforcement Learning for Online Recommendation. - Xiaocong Chen; Lina Yao 001; Aixin Sun; Xianzhi Wang 001; Xiwei Xu 001; Liming Zhu 001 (CIKM, 2021)

Global Convolutional Neural Processes. - Xuesong Wang 002; Lina Yao 001; Xianzhi Wang 001; Hye-Young Paik; Sen Wang 001 (ICDM, 2021)

MetaGB: A Gradient Boosting Framework for Efficient Task Adaptive Meta Learning. - Manqing Dong; Lina Yao 001; Xianzhi Wang 001; Xiwei Xu 001; Liming Zhu 001 (ICDM, 2021)

UCBVis: Understanding Customer Behavior Sequences with Visual Interactive System. - Md. Rafiqul Islam 004; Imran Razzak; Xianzhi Wang 001; Peter Tilocca; Guandong Xu (IJCNN, 2021)

NP-PROV: Neural Processes with Position-Relevant-Only Variances. - Xuesong Wang 002; Lina Yao 001; Xianzhi Wang 001; Feiping Nie 001; Boualem Benatallah (WISE (1), 2021)

Attribute-Modulated Generative Meta Learning for Zero-Shot Classification. - Yun Li; Zhe Liu 023; Lina Yao 001; Xianzhi Wang 001; Can Wang 004 (CoRR, 2021)

Generative Adversarial Reward Learning for Generalized Behavior Tendency Inference. - Xiaocong Chen; Lina Yao 001; Xianzhi Wang 001; Aixin Sun; Wenjie Zhang 001; Quan Z. Sheng (CoRR, 2021)

A Survey of Deep Reinforcement Learning in Recommender Systems: A Systematic Review and Future Directions. - Xiaocong Chen; Lina Yao 001; Julian J. McAuley; Guanglin Zhou; Xianzhi Wang 001 (CoRR, 2021)

Locality-Sensitive Experience Replay for Online Recommendation. - Xiaocong Chen; Lina Yao 001; Xianzhi Wang 001; Julian J. McAuley (CoRR, 2021)

Deep spatial-temporal sequence modeling for multi-step passenger demand prediction. - Lei Bai 001; Lina Yao 001; Xianzhi Wang 001; Can Li; Xiang Zhang 012 (Future Gener. Comput. Syst., 2021)

Context-Induced Activity Monitoring for On-Demand Things-of-Interest Recommendation in an Ambient Intelligent Environment. - May S. Altulyan; Lina Yao 001; Chaoran Huang 001; Xianzhi Wang 001; Salil S. Kanhere (Future Internet, 2021)

Mashup Recommendation by Regularizing Matrix Factorization with API Co-Invocations. - Lina Yao 001; Xianzhi Wang 001; Quan Z. Sheng; Boualem Benatallah; Chaoran Huang 001 (IEEE Trans. Serv. Comput., 2021)

Caching Hierarchical Skylines for Efficient Service Composition on Service Graphs. - Hadeel Alhosaini; Xianzhi Wang 001; Lina Yao 001; Yakun Chen; Guandong Xu (SCC, 2022)

Harnessing Confidence for Report Aggregation in Crowdsourcing Environments. - Hadeel Alhosaini; Xianzhi Wang 001; Lina Yao 001; Zhong Yang; Farookh Khadeer Hussain; Ee-Peng Lim (SCC, 2022)

Blockchain-based solutions for Humanitarian supply Chain Management. - Bavly Hanna; Guandong Xu; Xianzhi Wang 001; Md. Jahangir Hossain 001 (AMCIS, 2022)

Deep Reinforcement Learning for Dynamic Things of Interest Recommendation in Intelligent Ambient Environment. - May S. Altulyan; Chaoran Huang 001; Lina Yao 001; Xianzhi Wang 001; Salil S. Kanhere (AI, 2022)

An Explanation Module for Deep Neural Networks Facing Multivariate Time Series Classification. - Chao Yang 024; Xianzhi Wang 001; Lina Yao 001; Jing Jiang 002; Guandong Xu (AI, 2022)

Multi-agent Transformer Networks for Multimodal Human Activity Recognition. - Jingcheng Li; Lina Yao 001; Binghao Li; Xianzhi Wang 001; Claude Sammut (CIKM, 2022)

Social Graph Transformer Networks for Pedestrian Trajectory Prediction in Complex Social Scenarios. - Yao Liu 017; Lina Yao 001; Binghao Li; Xianzhi Wang 001; Claude Sammut (CIKM, 2022)

minIL: A Simple and Small Index for String Similarity Search with Edit Distance. - Zhong Yang; Bolong Zheng; Xianzhi Wang 001; Guohui Li 001; Xiaofang Zhou 001 (ICDE, 2022)

Temporal Knowledge Graph Reasoning via Time-Distributed Representation Learning. - Kangzheng Liu; Feng Zhao 003; Guandong Xu; Xianzhi Wang 001; Hai Jin 001 (ICDM, 2022)

Adaptive Graph Recurrent Network for Multivariate Time Series Imputation. - Yakun Chen; Zihao Li 005; Chao Yang 024; Xianzhi Wang 001; Guodong Long; Guandong Xu (ICONIP (5), 2022)

Resolving Conflicts among Unbalanced Multi-Source Data When Multi-Value Objects Exist. - Xiu Susie Fang; Quan Z. Sheng; Jian Yang 001; Guohao Sun; Xianzhi Wang 001; Yihong Zhang 001 (INFOCOM Workshops, 2022)

Locality-Sensitive State-Guided Experience Replay Optimization for Sparse Rewards in Online Recommendation. - Xiaocong Chen; Lina Yao 001; Julian J. McAuley; Weili Guan; Xiaojun Chang; Xianzhi Wang 001 (SIGIR, 2022)

Hierarchical Task-aware Multi-Head Attention Network. - Jing Du 003; Lina Yao 001; Xianzhi Wang 001; Bin Guo 001; Zhiwen Yu 001 (SIGIR, 2022)

Graph Neural Network with Self-attention and Multi-task Learning for Credit Default Risk Prediction. - Zihao Li 005; Xianzhi Wang 001; Lina Yao 001; Yakun Chen; Guandong Xu; Ee-Peng Lim (WISE, 2022)

Mitigating Multi-class Unintended Demographic Bias in Text Classification with Adversarial Learning. - Le Pan; Lina Yao 001; Wenjie Zhang 001; Xianzhi Wang 001 (WISE, 2022)

A Survey on Recommender Systems for Internet of Things: Techniques, Applications and Future Directions. - May S. Altulyan; Lina Yao 001; Xianzhi Wang 001; Chaoran Huang 001; Salil S. Kanhere; Quan Z. Sheng (Comput. J., 2022)

Adversarial Robustness of Deep Reinforcement Learning Based Dynamic Recommender Systems. - Siyu Wang 001; Yuanjiang Cao; Xiaocong Chen; Lina Yao 001; Xianzhi Wang 001; Quan Z. Sheng (Frontiers Big Data, 2022)

Intent-Aware Interactive Internet of Things for Enhanced Collaborative Ambient Intelligence. - Chaoran Huang 001; Lina Yao 001; Xianzhi Wang 001; Quan Z. Sheng; Schahram Dustdar; Zhongjie Wang 003; Xiaofei Xu (IEEE Internet Comput., 2022)

A survey for trust-aware recommender systems: A deep learning perspective. - Manqing Dong; Feng Yuan; Lina Yao 001; Xianzhi Wang 001; Xiwei Xu 001; Liming Zhu 001 (Knowl. Based Syst., 2022)

Face to purchase: Predicting consumer choices with structured facial and behavioral traits embedding. - Zhe Liu 023; Xianzhi Wang 001; Yun Li; Lina Yao 001; Jake An; Lei Bai 001; Ee-Peng Lim (Knowl. Based Syst., 2022)

Generative adversarial U-Net for domain-free few-shot medical diagnosis. - Xiaocong Chen; Yun Li; Lina Yao 001; Ehsan Adeli 001; Yu Zhang 009; Xianzhi Wang 001 (Pattern Recognit. Lett., 2022)

An Entropy-Guided Reinforced Partial Convolutional Network for Zero-Shot Learning. - Yun Li; Zhe Liu 023; Lina Yao 001; Xianzhi Wang 001; Julian J. McAuley; Xiaojun Chang (IEEE Trans. Circuits Syst. Video Technol., 2022)

Agglomerative Neural Networks for Multiview Clustering. - Zhe Liu 023; Yun Li; Lina Yao 001; Xianzhi Wang 001; Feiping Nie 001 (IEEE Trans. Neural Networks Learn. Syst., 2022)

Explainable depression detection with multi-aspect features using a hybrid deep learning model on social media. - Hamad Zogan; Imran Razzak; Xianzhi Wang 001; Shoaib Jameel; Guandong Xu (World Wide Web, 2022)

Online Spam Review Detection: A Survey of Literature. - Li He; Xianzhi Wang 001; Hongxu Chen 002; Guandong Xu (Hum. Centric Intell. Syst., 2022)

MTSTI: A Multi-task Learning Framework for Spatiotemporal Imputation. - Yakun Chen; Kaize Shi; Xianzhi Wang 001; Guandong Xu (ADMA (5), 2023)

Exploring the Effectiveness of Positional Embedding on Transformer-Based Architectures for Multivariate Time Series Classification. - Chao Yang 024; Yakun Chen; Zihao Li 005; Xianzhi Wang 001 (ADMA (1), 2023)

From Time Series to Multi-modality: Classifying Multivariate Time Series via Both 1D and 2D Representations. - Chao Yang 024; Xianzhi Wang 001; Lina Yao 001; Guodong Long; Guandong Xu (ADMA (1), 2023)

Machine Learning with Explainability for Suicide Ideation Detection from Social Media Data. - Md Rafiqul Islam; Md. Kowsar Hossain Sakib; Shanjita Akter Prome; Xianzhi Wang 001; Anwaar Ulhaq; Cesar Sanín; David Asirvatham (BESC, 2023)

RETIA: Relation-Entity Twin-Interact Aggregation for Temporal Knowledge Graph Extrapolation. - Kangzheng Liu; Feng Zhao 003; Guandong Xu; Xianzhi Wang 001; Hai Jin 001 (ICDE, 2023)

SOAC: Supervised Off-Policy Actor-Critic for Recommender Systems. - Shiqing Wu 001; Guandong Xu; Xianzhi Wang 001 (ICDM, 2023)

RASNet: A Reinforcement Assistant Network for Frame Selection in Video-based Posture Recognition. - Ruotong Hu; Xianzhi Wang 001; Xiaojun Chang; Yeqi Hu; Xiaowei Xin; Xiangqian Ding; Baoqi Guo (ICME, 2023)

Dual Contrastive Transformer for Hierarchical Preference Modeling in Sequential Recommendation. - Chengkai Huang; Shoujin Wang; Xianzhi Wang 001; Lina Yao 001 (SIGIR, 2023)

Simplifying Graph-based Collaborative Filtering for Recommendation. - Li He; Xianzhi Wang 001; Dingxian Wang; Haoyuan Zou; Hongzhi Yin; Guandong Xu (WSDM, 2023)

Exploiting Explicit and Implicit Item relationships for Session-based Recommendation. - Zihao Li 005; Xianzhi Wang 001; Chao Yang 024; Lina Yao 001; Julian J. McAuley; Guandong Xu (WSDM, 2023)

Modeling Temporal Positive and Negative Excitation for Sequential Recommendation. - Chengkai Huang; Shoujin Wang; Xianzhi Wang 001; Lina Yao 001 (WWW, 2023)

GATGPT: A Pre-trained Large Language Model with Graph Attention Network for Spatiotemporal Imputation. - Yakun Chen; Xianzhi Wang 001; Guandong Xu (CoRR, 2023)

Gradient Boosted Neural Decision Forest. - Manqing Dong; Lina Yao 001; Xianzhi Wang 001; Boualem Benatallah; Shuai Zhang 007; Quan Z. Sheng (IEEE Trans. Serv. Comput., 2023)

A Graph Neural Network and Pointer Network-Based Approach for QoS-Aware Service Composition. - Xiao Wang; Hanchuan Xu; Xianzhi Wang 001; Xiaofei Xu; Zhongjie Wang 003 (IEEE Trans. Serv. Comput., 2023)

Multi-center federated learning: clients clustering for better personalization. - Guodong Long; Ming Xie; Tao Shen 001; Tianyi Zhou 001; Xianzhi Wang 001; Jing Jiang 002 (World Wide Web (WWW), 2023)

Deep reinforcement learning in recommender systems: A survey and new perspectives. - Xiaocong Chen; Lina Yao 001; Julian J. McAuley; Guanglin Zhou; Xianzhi Wang 001 (Knowl. Based Syst., 2023)

Attentional Gated Res2Net for Multivariate Time Series Classification. - Chao Yang 024; Xianzhi Wang 001; Lina Yao 001; Guodong Long; Jing Jiang 002; Guandong Xu (Neural Process. Lett., 2023)

Adversarial dual autoencoders for trust-aware recommendation. - Manqing Dong; Lina Yao 001; Xianzhi Wang 001; Xiwei Xu 001; Liming Zhu 001 (Neural Comput. Appl., 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 001; Imran Razzak; Roohallah Alizadehsani; Arash Mohammadi 001; Hamid Alinejad-Rokny (Neural Comput. Appl., 2023)

Graph-Aware Deep Fusion Networks for Online Spam Review Detection. - Li He; Guandong Xu; Shoaib Jameel; Xianzhi Wang 001; Hongxu Chen 002 (IEEE Trans. Comput. Soc. Syst., 2023)

Generative Adversarial Reward Learning for Generalized Behavior Tendency Inference. - Xiaocong Chen; Lina Yao 001; Xianzhi Wang 001; Aixin Sun; Quan Z. Sheng (IEEE Trans. Knowl. Data Eng., 2023)

Uncertainty Estimation With Neural Processes for Meta-Continual Learning. - Xuesong Wang 002; Lina Yao 001; Xianzhi Wang 001; Hye-Young Paik; Sen Wang 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

AIoT for sustainable manufacturing: Overview, challenges, and opportunities. - Abdul Matin; Md. Rafiqul Islam 004; Xianzhi Wang 001; Huan Huo; Guandong Xu (Internet Things, 2023)

MVis4LD: Multimodal Visual Interactive System for Lie Detection. - Md. Kowsar Hossain Sakib; Md. Rafiqul Islam 004; Shanjita Akter Prome; Thanh Thao Lam Nguyen; David Asirvatham; Neethiahnanthan Ari Ragavan; Xianzhi Wang 001; Cesar Sanín (ACIIDS (2), 2024)

Leveraging Artificial Intelligence for Affordable and Clean Energy: Advancing UN Sustainable Development Goal 7. - Bavly Hanna; Guandong Xu; Xianzhi Wang 001; Md. Jahangir Hossain 001 (BESC, 2024)

Optimizing Algorithms for Human Behavior Recognition: Single-Modality Spatiotemporal Convolutional Networks. - Rui Zhao; Jutao Hao; Zhikun Feng; Xianzhi Wang 001; Mukesh Prasad; Huan Huo (BESC, 2024)

KG-CoT: Chain-of-Thought Prompting of Large Language Models over Knowledge Graphs for Knowledge-Aware Question Answering. - Ruilin Zhao; Feng Zhao 003; Long Wang; Xianzhi Wang 001; Guandong Xu (IJCAI, 2024)

Robust Multimodal Approach for Assembly Action Recognition. - Abdul Matin; Md Rafiqul Islam; Xianzhi Wang 001; Huan Huo (KES, 2024)

CLIMB: Imbalanced Data Modelling Using Contrastive Learning with Limited Labels. - Abdullah Alsuhaibani; Imran Razzak; Shoaib Jameel; Xianzhi Wang 001; Guandong Xu (WISE (4), 2024)

A topic-controllable keywords-to-text generator with knowledge base network. - Li He; Kaize Shi; Dingxian Wang; Xianzhi Wang 001; Guandong Xu (CAAI Trans. Intell. Technol., 2024)

API Recommendation For Mashup Creation: A Comprehensive Survey. - Hadeel Alhosaini; Sultan Alharbi; Xianzhi Wang 001; Guandong Xu (Comput. J., 2024)

A Temporally Disentangled Contrastive Diffusion Model for Spatiotemporal Imputation. - Yakun Chen; Kaize Shi; Zhangkai Wu; Juan Chen; Xianzhi Wang 001; Julian J. McAuley; Guandong Xu; Shui Yu 001 (CoRR, 2024)

Exploring explicit and implicit graph learning for multivariate time series imputation. - Yakun Chen; Ruotong Hu; Zihao Li 005; Chao Yang 024; Xianzhi Wang 001; Guodong Long; Guandong Xu (Eng. Appl. Artif. Intell., 2024)

Dyformer: A dynamic transformer-based architecture for multivariate time series classification. - Chao Yang 024; Xianzhi Wang 001; Lina Yao 001; Guodong Long; Guandong Xu (Inf. Sci., 2024)

Strategies for evaluating visual analytics systems: A systematic review and new perspectives. - Md. Rafiqul Islam 004; Shanjita Akter; Linta Islam; Imran Razzak; Xianzhi Wang 001; Guandong Xu (Inf. Vis., 2024)

Generalizing truth discovery by incorporating multi-truth features. - Xiu Susie Fang; Xianzhi Wang 001; Quan Z. Sheng; Lina Yao 001 (Computing, 2024)

BehaviorNet: A Fine-grained Behavior-aware Network for Dynamic Link Prediction. - Mingyi Liu; Zhiying Tu; Tonghua Su; Xianzhi Wang 001; Xiaofei Xu; Zhongjie Wang 003 (ACM Trans. Web, 2024)

Multi-view GCN for loan default risk prediction. - Zihao Li 005; Yakun Chen; Xianzhi Wang 001; Lina Yao 001; Guandong Xu (Neural Comput. Appl., 2024)

Natural language interactions enhanced by data visualization to explore insurance claims and manage risk. - Md. Rafiqul Islam 004; Imran Razzak; Xianzhi Wang 001; Peter Tilocca; Guandong Xu (Ann. Oper. Res., 2024)

CStrCRL: Cross-View Contrastive Learning Through Gated GCN With Strong Augmentations for Skeleton Recognition. - Ruotong Hu; Xianzhi Wang 001; Xiaojun Chang; Yongle Zhang; Yeqi Hu; Xinyuan Liu 001; Shusong Yu (IEEE Trans. Circuits Syst. Video Technol., 2024)

Special Issue on Responsible Recommender Systems Part 1. - Lina Yao 001; Julian J. McAuley; Xianzhi Wang 001; Dietmar Jannach (ACM Trans. Intell. Syst. Technol., 2024)

Attention-Aware Social Graph Transformer Networks for Stochastic Trajectory Prediction. - Yao Liu 017; Binghao Li; Xianzhi Wang 001; Claude Sammut; Lina Yao 001 (IEEE Trans. Knowl. Data Eng., 2024)

Unsupervised Domain Adaptation for Skeleton Recognition With Fourier Analysis. - Ruotong Hu; Xianzhi Wang 001; Xiangqian Ding; Yongle Zhang; Xiaowei Xin; Wei Pang 001; Shusong Yu (IEEE Internet Things J., 2024)

Reembedding and Reweighting are Needed for Tail Item Sequential Recommendation. - Zihao Li 005; Yakun Chen; Tong Zhang; Xianzhi Wang 001 (WWW, 2025)

Large Language Models are Few-shot Multivariate Time Series Classifiers. - Yakun Chen; Zihao Li 005; Chao Yang 024; Xianzhi Wang 001; Guandong Xu (CoRR, 2025)

Graph and Sequential Neural Networks in Session-based Recommendation: A Survey. - Zihao Li 005; Chao Yang 024; Yakun Chen; Xianzhi Wang 001; Hongxu Chen 002; Guandong Xu; Lina Yao 001; Michael Sheng 001 (ACM Comput. Surv., 2025)

Special Issue on Responsible Recommender Systems Part 2. - Lina Yao 001; Julian J. McAuley; Xianzhi Wang 001; Dietmar Jannach (ACM Trans. Intell. Syst. Technol., 2025)

Deep multimodal learning for time series analysis in social computing: a survey. - Chao Yang 024; Yakun Chen; Zihao Li 005; Xianzhi Wang 001; Kaize Shi; Lina Yao 001; Guandong Xu; Zhongwen Guo (Int. J. Multim. Inf. Retr., 2025)

Listwise Preference Alignment Optimization for Tail Item Recommendation. - Zihao Li 005; Chao Yang 024; Tong Zhang; Yakun Chen; Xianzhi Wang 001; Guandong Xu; Daoyi Dong (CoRR, 2025)

Generalizing sentiment analysis: a review of progress, challenges, and emerging directions. - Khaled Alahmadi; Sultan Alharbi; Juan Chen; Xianzhi Wang 001 (Soc. Netw. Anal. Min., 2025)