Xianzhi Wang - RankMe

223 papers A* 21A 23B 12C 7Misc 6Journal 121Unranked 32

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Cluster-SCP: Similarity and Contrastive Learning to Enhance Pseudo Labels for Fine Tuning under Few Labels. World Wide Web (WWW) Abdullah Alsuhaibani, Abdulrahman Abdullah Alalawi, Imran Razzak, Shoaib Jameel, Xianzhi Wang, Guandong Xu
2026	J	`jnl`	Imbalance-Aware Credit Card Fraud Detection Using Multi-Autoencoders and Generative Ensemble Learning. Expert Syst. J. Knowl. Eng. Sultan Alharbi, Khalid Alahmadi, Xianzhi Wang
2026	J	`jnl`	LLM-Enhanced Reinforcement Learning for Long-Term User Satisfaction in Interactive Recommendation. CoRR Chongjun Xia, Yanchun Peng, Xianzhi Wang
2026	J	`jnl`	Proactive Guiding Strategy for Item-side Fairness in Interactive Recommendation. CoRR Chongjun Xia, Xiaoyu Shi, Hong Xie, Xianzhi Wang, Yun Lu, Mingsheng Shang
2025	J	`jnl`	Deep multimodal learning for time series analysis in social computing: a survey. Int. J. Multim. Inf. Retr. Chao Yang, Yakun Chen, Zihao Li, Xianzhi Wang, Kaize Shi, Lina Yao, Guandong Xu, Zhongwen Guo
2025	J	`jnl`	Generalizing sentiment analysis: a review of progress, challenges, and emerging directions. Soc. Netw. Anal. Min. Khaled Alahmadi, Sultan Alharbi, Juan Chen, Xianzhi Wang
2025	J	`jnl`	Graph and Sequential Neural Networks in Session-based Recommendation: A Survey. ACM Comput. Surv. Zihao Li, Chao Yang, Yakun Chen, Xianzhi Wang, Hongxu Chen, Guandong Xu, Lina Yao, Michael Sheng
2025	J	`jnl`	Integrating dense layers with residual connections into transformers for enhanced sentiment classification. J. Supercomput. Khaled Alahmadi, Sultan Alharbi, Xianzhi Wang
2025	J	`jnl`	Large Language Models are Few-shot Multivariate Time Series Classifiers. CoRR Yakun Chen, Zihao Li, Chao Yang, Xianzhi Wang, Guandong Xu
2025	J	`jnl`	Large language models are few-shot multivariate time series classifiers. Data Min. Knowl. Discov. Yakun Chen, Zihao Li, Chao Yang, Xianzhi Wang, Guandong Xu
2025	J	`jnl`	Listwise Preference Alignment Optimization for Tail Item Recommendation. CoRR Zihao Li, Chao Yang, Tong Zhang, Yakun Chen, Xianzhi Wang, Guandong Xu, Daoyi Dong
2025	B	`conf`	Location-Aware Deep Neural Network for Predicting Indoor 5G RSSI and CQI Using Drone-Based External RF Sensing. KES David Hason Rudd, Cesar Sanín, Koh Ming En, Xingyi Gao, Md. Rafiqul Islam, Mehedi Hasan, Xianzhi Wang, Angela Huo, Guandong Xu
2025	A*	`conf`	Reembedding and Reweighting are Needed for Tail Item Sequential Recommendation. WWW Zihao Li, Yakun Chen, Tong Zhang, Xianzhi Wang
2025	A	`conf`	SarRec: Statistically-guaranteed Augmented Retrieval for Recommendation. CIKM Tong Zhang, Nitin Bisht, Zihao Li, Guandong Xu, Xianzhi Wang
2025	J	`jnl`	Special Issue on Responsible Recommender Systems Part 2. ACM Trans. Intell. Syst. Technol. Lina Yao, Julian J. McAuley, Xianzhi Wang, Dietmar Jannach
2024	J	`jnl`	A Temporally Disentangled Contrastive Diffusion Model for Spatiotemporal Imputation. CoRR Yakun Chen, Kaize Shi, Zhangkai Wu, Juan Chen, Xianzhi Wang, Julian J. McAuley, Guandong Xu, Shui Yu
2024	J	`jnl`	A topic-controllable keywords-to-text generator with knowledge base network. CAAI Trans. Intell. Technol. Li He, Kaize Shi, Dingxian Wang, Xianzhi Wang, Guandong Xu
2024	J	`jnl`	API Recommendation For Mashup Creation: A Comprehensive Survey. Comput. J. Hadeel Alhosaini, Sultan Alharbi, Xianzhi Wang, Guandong Xu
2024	J	`jnl`	Attention-Aware Social Graph Transformer Networks for Stochastic Trajectory Prediction. IEEE Trans. Knowl. Data Eng. Yao Liu, Binghao Li, Xianzhi Wang, Claude Sammut, Lina Yao
2024	J	`jnl`	BehaviorNet: A Fine-grained Behavior-aware Network for Dynamic Link Prediction. ACM Trans. Web Mingyi Liu, Zhiying Tu, Tonghua Su, Xianzhi Wang, Xiaofei Xu, Zhongjie Wang
2024	—	`conf`	CLIMB: Imbalanced Data Modelling Using Contrastive Learning with Limited Labels. WISE (4) Abdullah Alsuhaibani, Imran Razzak, Shoaib Jameel, Xianzhi Wang, Guandong Xu
2024	J	`jnl`	CStrCRL: Cross-View Contrastive Learning Through Gated GCN With Strong Augmentations for Skeleton Recognition. IEEE Trans. Circuits Syst. Video Technol. Ruotong Hu, Xianzhi Wang, Xiaojun Chang, Yongle Zhang, Yeqi Hu, Xinyuan Liu, Shusong Yu
2024	J	`jnl`	Dual Contrastive Transformer for Hierarchical Preference Modeling in Sequential Recommendation. CoRR Chengkai Huang, Shoujin Wang, Xianzhi Wang, Lina Yao
2024	J	`jnl`	Dyformer: A dynamic transformer-based architecture for multivariate time series classification. Inf. Sci. Chao Yang, Xianzhi Wang, Lina Yao, Guodong Long, Guandong Xu
2024	J	`jnl`	Exploring explicit and implicit graph learning for multivariate time series imputation. Eng. Appl. Artif. Intell. Yakun Chen, Ruotong Hu, Zihao Li, Chao Yang, Xianzhi Wang, Guodong Long, Guandong Xu
2024	J	`jnl`	Generalizing truth discovery by incorporating multi-truth features. Computing Xiu Susie Fang, Xianzhi Wang, Quan Z. Sheng, Lina Yao
2024	J	`jnl`	Graph and Sequential Neural Networks in Session-based Recommendation: A Survey. CoRR Zihao Li, Chao Yang, Yakun Chen, Xianzhi Wang, Hongxu Chen, Guandong Xu, Lina Yao, Quan Z. Sheng
2024	A*	`conf`	KG-CoT: Chain-of-Thought Prompting of Large Language Models over Knowledge Graphs for Knowledge-Aware Question Answering. IJCAI Ruilin Zhao, Feng Zhao, Long Wang, Xianzhi Wang, Guandong Xu
2024	—	`conf`	Leveraging Artificial Intelligence for Affordable and Clean Energy: Advancing UN Sustainable Development Goal 7. BESC Bavly Hanna, Guandong Xu, Xianzhi Wang, Md. Jahangir Hossain
2024	—	`conf`	MVis4LD: Multimodal Visual Interactive System for Lie Detection. ACIIDS (2) Md. Kowsar Hossain Sakib, Md. Rafiqul Islam, Shanjita Akter Prome, Thanh Thao Lam Nguyen, David Asirvatham, Neethiahnanthan Ari Ragavan, Xianzhi Wang, Cesar Sanín
2024	J	`jnl`	Modeling Temporal Positive and Negative Excitation for Sequential Recommendation. CoRR Chengkai Huang, Shoujin Wang, Xianzhi Wang, Lina Yao
2024	J	`jnl`	Multi-view GCN for loan default risk prediction. Neural Comput. Appl. Zihao Li, Yakun Chen, Xianzhi Wang, Lina Yao, Guandong Xu
2024	J	`jnl`	Natural language interactions enhanced by data visualization to explore insurance claims and manage risk. Ann. Oper. Res. Md. Rafiqul Islam, Imran Razzak, Xianzhi Wang, Peter Tilocca, Guandong Xu
2024	—	`conf`	Optimizing Algorithms for Human Behavior Recognition: Single-Modality Spatiotemporal Convolutional Networks. BESC Rui Zhao, Jutao Hao, Zhikun Feng, Xianzhi Wang, Mukesh Prasad, Huan Huo
2024	B	`conf`	Robust Multimodal Approach for Assembly Action Recognition. KES Abdul Matin, Md. Rafiqul Islam, Xianzhi Wang, Huan Huo
2024	J	`jnl`	Special Issue on Responsible Recommender Systems Part 1. ACM Trans. Intell. Syst. Technol. Lina Yao, Julian J. McAuley, Xianzhi Wang, Dietmar Jannach
2024	J	`jnl`	Strategies for evaluating visual analytics systems: A systematic review and new perspectives. Inf. Vis. Md. Rafiqul Islam, Shanjita Akter, Linta Islam, Imran Razzak, Xianzhi Wang, Guandong Xu
2024	J	`jnl`	Unsupervised Domain Adaptation for Skeleton Recognition With Fourier Analysis. IEEE Internet Things J. Ruotong Hu, Xianzhi Wang, Xiangqian Ding, Yongle Zhang, Xiaowei Xin, Wei Pang, Shusong Yu
2023	J	`jnl`	A Graph Neural Network and Pointer Network-Based Approach for QoS-Aware Service Composition. IEEE Trans. Serv. Comput. Xiao Wang, Hanchuan Xu, Xianzhi Wang, Xiaofei Xu, Zhongjie Wang
2023	J	`jnl`	A novel uncertainty-aware deep learning technique with an application on skin cancer diagnosis. Neural Comput. Appl. Afshar Shamsi Jokandan, Hamzeh Asgharnezhad, Ziba Bouchani, Khadijeh Jahanian, Morteza Saberi, Xianzhi Wang, Imran Razzak, Roohallah Alizadehsani, Arash Mohammadi, Hamid Alinejad-Rokny
2023	J	`jnl`	AIoT for sustainable manufacturing: Overview, challenges, and opportunities. Internet Things Abdul Matin, Md. Rafiqul Islam, Xianzhi Wang, Huan Huo, Guandong Xu
2023	J	`jnl`	Adversarial dual autoencoders for trust-aware recommendation. Neural Comput. Appl. Manqing Dong, Lina Yao, Xianzhi Wang, Xiwei Xu, Liming Zhu
2023	J	`jnl`	Attention-aware Social Graph Transformer Networks for Stochastic Trajectory Prediction. CoRR Yao Liu, Binghao Li, Xianzhi Wang, Claude Sammut, Lina Yao
2023	J	`jnl`	Attentional Gated Res2Net for Multivariate Time Series Classification. Neural Process. Lett. Chao Yang, Xianzhi Wang, Lina Yao, Guodong Long, Jing Jiang, Guandong Xu
2023	J	`jnl`	Deep reinforcement learning in recommender systems: A survey and new perspectives. Knowl. Based Syst. Xiaocong Chen, Lina Yao, Julian J. McAuley, Guanglin Zhou, Xianzhi Wang
2023	A*	`conf`	Dual Contrastive Transformer for Hierarchical Preference Modeling in Sequential Recommendation. SIGIR Chengkai Huang, Shoujin Wang, Xianzhi Wang, Lina Yao
2023	A	`conf`	Exploiting Explicit and Implicit Item relationships for Session-based Recommendation. WSDM Zihao Li, Xianzhi Wang, Chao Yang, Lina Yao, Julian J. McAuley, Guandong Xu
2023	—	`conf`	Exploring the Effectiveness of Positional Embedding on Transformer-Based Architectures for Multivariate Time Series Classification. ADMA (1) Chao Yang, Yakun Chen, Zihao Li, Xianzhi Wang
2023	—	`conf`	From Time Series to Multi-modality: Classifying Multivariate Time Series via Both 1D and 2D Representations. ADMA (1) Chao Yang, Xianzhi Wang, Lina Yao, Guodong Long, Guandong Xu
2023	J	`jnl`	GATGPT: A Pre-trained Large Language Model with Graph Attention Network for Spatiotemporal Imputation. CoRR Yakun Chen, Xianzhi Wang, Guandong Xu
2023	J	`jnl`	Generative Adversarial Reward Learning for Generalized Behavior Tendency Inference. IEEE Trans. Knowl. Data Eng. Xiaocong Chen, Lina Yao, Xianzhi Wang, Aixin Sun, Quan Z. Sheng
2023	J	`jnl`	Gradient Boosted Neural Decision Forest. IEEE Trans. Serv. Comput. Manqing Dong, Lina Yao, Xianzhi Wang, Boualem Benatallah, Shuai Zhang, Quan Z. Sheng
2023	J	`jnl`	Graph-Aware Deep Fusion Networks for Online Spam Review Detection. IEEE Trans. Comput. Soc. Syst. Li He, Guandong Xu, Shoaib Jameel, Xianzhi Wang, Hongxu Chen
2023	—	`conf`	MTSTI: A Multi-task Learning Framework for Spatiotemporal Imputation. ADMA (5) Yakun Chen, Kaize Shi, Xianzhi Wang, Guandong Xu
2023	—	`conf`	Machine Learning with Explainability for Suicide Ideation Detection from Social Media Data. BESC Md. Rafiqul Islam, Md. Kowsar Hossain Sakib, Shanjita Akter Prome, Xianzhi Wang, Anwaar Ulhaq, Cesar Sanín, David Asirvatham
2023	A*	`conf`	Modeling Temporal Positive and Negative Excitation for Sequential Recommendation. WWW Chengkai Huang, Shoujin Wang, Xianzhi Wang, Lina Yao
2023	J	`jnl`	Multi-center federated learning: clients clustering for better personalization. World Wide Web (WWW) Guodong Long, Ming Xie, Tao Shen, Tianyi Zhou, Xianzhi Wang, Jing Jiang
2023	A	`conf`	RASNet: A Reinforcement Assistant Network for Frame Selection in Video-based Posture Recognition. ICME Ruotong Hu, Xianzhi Wang, Xiaojun Chang, Yeqi Hu, Xiaowei Xin, Xiangqian Ding, Baoqi Guo
2023	A*	`conf`	RETIA: Relation-Entity Twin-Interact Aggregation for Temporal Knowledge Graph Extrapolation. ICDE Kangzheng Liu, Feng Zhao, Guandong Xu, Xianzhi Wang, Hai Jin
2023	A*	`conf`	SOAC: Supervised Off-Policy Actor-Critic for Recommender Systems. ICDM Shiqing Wu, Guandong Xu, Xianzhi Wang
2023	A	`conf`	Simplifying Graph-based Collaborative Filtering for Recommendation. WSDM Li He, Xianzhi Wang, Dingxian Wang, Haoyuan Zou, Hongzhi Yin, Guandong Xu
2023	J	`jnl`	Uncertainty Estimation With Neural Processes for Meta-Continual Learning. IEEE Trans. Neural Networks Learn. Syst. Xuesong Wang, Lina Yao, Xianzhi Wang, Hye-Young Paik, Sen Wang
2022	J	`jnl`	A Survey on Recommender Systems for Internet of Things: Techniques, Applications and Future Directions. Comput. J. May S. Altulyan, Lina Yao, Xianzhi Wang, Chaoran Huang, Salil S. Kanhere, Quan Z. Sheng
2022	J	`jnl`	A survey for trust-aware recommender systems: A deep learning perspective. Knowl. Based Syst. Manqing Dong, Feng Yuan, Lina Yao, Xianzhi Wang, Xiwei Xu, Liming Zhu
2022	—	`conf`	Adaptive Graph Recurrent Network for Multivariate Time Series Imputation. ICONIP (5) Yakun Chen, Zihao Li, Chao Yang, Xianzhi Wang, Guodong Long, Guandong Xu
2022	J	`jnl`	Adversarial Robustness of Deep Reinforcement Learning Based Dynamic Recommender Systems. Frontiers Big Data Siyu Wang, Yuanjiang Cao, Xiaocong Chen, Lina Yao, Xianzhi Wang, Quan Z. Sheng
2022	J	`jnl`	Agglomerative Neural Networks for Multiview Clustering. IEEE Trans. Neural Networks Learn. Syst. Zhe Liu, Yun Li, Lina Yao, Xianzhi Wang, Feiping Nie
2022	J	`jnl`	An Entropy-Guided Reinforced Partial Convolutional Network for Zero-Shot Learning. IEEE Trans. Circuits Syst. Video Technol. Yun Li, Zhe Liu, Lina Yao, Xianzhi Wang, Julian J. McAuley, Xiaojun Chang
2022	Misc	`conf`	An Explanation Module for Deep Neural Networks Facing Multivariate Time Series Classification. AI Chao Yang, Xianzhi Wang, Lina Yao, Jing Jiang, Guandong Xu
2022	Misc	`conf`	Attentional Gated Res2net for Multivariate Time Series Classification. ICASSP Chao Yang, Xianzhi Wang, Lina Yao, Guodong Long, Jing Jiang, Guandong Xu
2022	—	`conf`	Blockchain-based solutions for Humanitarian supply Chain Management. AMCIS Bavly Hanna, Guandong Xu, Xianzhi Wang, Md. Jahangir Hossain
2022	—	`conf`	Caching Hierarchical Skylines for Efficient Service Composition on Service Graphs. SCC Hadeel Alhosaini, Xianzhi Wang, Lina Yao, Yakun Chen, Guandong Xu
2022	Misc	`conf`	Deep Reinforcement Learning for Dynamic Things of Interest Recommendation in Intelligent Ambient Environment. AI May S. Altulyan, Chaoran Huang, Lina Yao, Xianzhi Wang, Salil S. Kanhere
2022	J	`jnl`	Explainable depression detection with multi-aspect features using a hybrid deep learning model on social media. World Wide Web Hamad Zogan, Imran Razzak, Xianzhi Wang, Shoaib Jameel, Guandong Xu
2022	J	`jnl`	Face to purchase: Predicting consumer choices with structured facial and behavioral traits embedding. Knowl. Based Syst. Zhe Liu, Xianzhi Wang, Yun Li, Lina Yao, Jake An, Lei Bai, Ee-Peng Lim
2022	J	`jnl`	Generative adversarial U-Net for domain-free few-shot medical diagnosis. Pattern Recognit. Lett. Xiaocong Chen, Yun Li, Lina Yao, Ehsan Adeli, Yu Zhang, Xianzhi Wang
2022	B	`conf`	Graph Neural Network with Self-attention and Multi-task Learning for Credit Default Risk Prediction. WISE Zihao Li, Xianzhi Wang, Lina Yao, Yakun Chen, Guandong Xu, Ee-Peng Lim
2022	—	`conf`	Harnessing Confidence for Report Aggregation in Crowdsourcing Environments. SCC Hadeel Alhosaini, Xianzhi Wang, Lina Yao, Zhong Yang, Farookh Khadeer Hussain, Ee-Peng Lim
2022	A*	`conf`	Hierarchical Task-aware Multi-Head Attention Network. SIGIR Jing Du, Lina Yao, Xianzhi Wang, Bin Guo, Zhiwen Yu
2022	J	`jnl`	Intent-Aware Interactive Internet of Things for Enhanced Collaborative Ambient Intelligence. IEEE Internet Comput. Chaoran Huang, Lina Yao, Xianzhi Wang, Quan Z. Sheng, Schahram Dustdar, Zhongjie Wang, Xiaofei Xu
2022	A*	`conf`	Locality-Sensitive State-Guided Experience Replay Optimization for Sparse Rewards in Online Recommendation. SIGIR Xiaocong Chen, Lina Yao, Julian J. McAuley, Weili Guan, Xiaojun Chang, Xianzhi Wang
2022	B	`conf`	Mitigating Multi-class Unintended Demographic Bias in Text Classification with Adversarial Learning. WISE Le Pan, Lina Yao, Wenjie Zhang, Xianzhi Wang
2022	A	`conf`	Multi-agent Transformer Networks for Multimodal Human Activity Recognition. CIKM Jingcheng Li, Lina Yao, Binghao Li, Xianzhi Wang, Claude Sammut
2022	J	`jnl`	Online Spam Review Detection: A Survey of Literature. Hum. Centric Intell. Syst. Li He, Xianzhi Wang, Hongxu Chen, Guandong Xu
2022	—	`conf`	Resolving Conflicts among Unbalanced Multi-Source Data When Multi-Value Objects Exist. INFOCOM Workshops Xiu Susie Fang, Quan Z. Sheng, Jian Yang, Guohao Sun, Xianzhi Wang, Yihong Zhang
2022	A	`conf`	Social Graph Transformer Networks for Pedestrian Trajectory Prediction in Complex Social Scenarios. CIKM Yao Liu, Lina Yao, Binghao Li, Xianzhi Wang, Claude Sammut
2022	A*	`conf`	Temporal Knowledge Graph Reasoning via Time-Distributed Representation Learning. ICDM Kangzheng Liu, Feng Zhao, Guandong Xu, Xianzhi Wang, Hai Jin
2022	A*	`conf`	minIL: A Simple and Small Index for String Similarity Search with Edit Distance. ICDE Zhong Yang, Bolong Zheng, Xianzhi Wang, Guohui Li, Xiaofang Zhou
2021	—	`conf`	A Review of Recent Trends and Industry Prospects for Artificial Intelligence Technologies. BESC Guangjun Li, Xianzhi Wang, Minxi Li
2021	J	`jnl`	A Survey of Deep Reinforcement Learning in Recommender Systems: A Systematic Review and Future Directions. CoRR Xiaocong Chen, Lina Yao, Julian J. McAuley, Guanglin Zhou, Xianzhi Wang
2021	J	`jnl`	Adversarial Robustness of Deep Reinforcement Learning based Dynamic Recommender Systems. CoRR Siyu Wang, Yuanjiang Cao, Xiaocong Chen, Lina Yao, Xianzhi Wang, Quan Z. Sheng
2021	J	`jnl`	An Entropy-guided Reinforced Partial Convolutional Network for Zero-Shot Learning. CoRR Yun Li, Zhe Liu, Lina Yao, Xianzhi Wang, Julian J. McAuley, Xiaojun Chang
2021	J	`jnl`	Attribute-Modulated Generative Meta Learning for Zero-Shot Classification. CoRR Yun Li, Zhe Liu, Lina Yao, Xianzhi Wang, Can Wang
2021	J	`jnl`	Context-Induced Activity Monitoring for On-Demand Things-of-Interest Recommendation in an Ambient Intelligent Environment. Future Internet May S. Altulyan, Lina Yao, Chaoran Huang, Xianzhi Wang, Salil S. Kanhere
2021	Misc	`conf`	Contextual Bandit Learning for Activity-Aware Things-of-Interest Recommendation in an Assisted Living Environment. ADC May S. Altulyan, Chaoran Huang, Lina Yao, Xianzhi Wang, Salil S. Kanhere
2021	Misc	`conf`	Deep Multi-view Spatio-Temporal Network for Urban Crime Prediction. ADC Usama Salama, Xiaocong Chen, Lina Yao, Hye-Young Paik, Xianzhi Wang
2021	J	`jnl`	Deep spatial-temporal sequence modeling for multi-step passenger demand prediction. Future Gener. Comput. Syst. Lei Bai, Lina Yao, Xianzhi Wang, Can Li, Xiang Zhang
2021	—	`conf`	ExVis: Explainable Visual Decision Support System for Risk Management. BESC Md. Rafiqul Islam, Jiaming Zhang, Md. Hamjajul Ashmafee, Imran Razzak, Jianlong Zhou, Xianzhi Wang, Guandong Xu
2021	J	`jnl`	Generative Adversarial Reward Learning for Generalized Behavior Tendency Inference. CoRR Xiaocong Chen, Lina Yao, Xianzhi Wang, Aixin Sun, Wenjie Zhang, Quan Z. Sheng
2021	A	`conf`	Generative Inverse Deep Reinforcement Learning for Online Recommendation. CIKM Xiaocong Chen, Lina Yao, Aixin Sun, Xianzhi Wang, Xiwei Xu, Liming Zhu
2021	A*	`conf`	Global Convolutional Neural Processes. ICDM Xuesong Wang, Lina Yao, Xianzhi Wang, Hye-Young Paik, Sen Wang
2021	J	`jnl`	Global Convolutional Neural Processes. CoRR Xuesong Wang, Lina Yao, Xianzhi Wang, Hye-Young Paik, Sen Wang
2021	J	`jnl`	Locality-Sensitive Experience Replay for Online Recommendation. CoRR Xiaocong Chen, Lina Yao, Xianzhi Wang, Julian J. McAuley
2021	J	`jnl`	Mashup Recommendation by Regularizing Matrix Factorization with API Co-Invocations. IEEE Trans. Serv. Comput. Lina Yao, Xianzhi Wang, Quan Z. Sheng, Boualem Benatallah, Chaoran Huang
2021	A*	`conf`	MetaGB: A Gradient Boosting Framework for Efficient Task Adaptive Meta Learning. ICDM Manqing Dong, Lina Yao, Xianzhi Wang, Xiwei Xu, Liming Zhu
2021	—	`conf`	NP-PROV: Neural Processes with Position-Relevant-Only Variances. WISE (1) Xuesong Wang, Lina Yao, Xianzhi Wang, Feiping Nie, Boualem Benatallah
2021	A*	`conf`	Task Aligned Generative Meta-learning for Zero-shot Learning. AAAI Zhe Liu, Yun Li, Lina Yao, Xianzhi Wang, Guodong Long
2021	J	`jnl`	Task Aligned Generative Meta-learning for Zero-shot Learning. CoRR Zhe Liu, Yun Li, Lina Yao, Xianzhi Wang, Guodong Long
2021	B	`conf`	UCBVis: Understanding Customer Behavior Sequences with Visual Interactive System. IJCNN Md. Rafiqul Islam, Imran Razzak, Xianzhi Wang, Peter Tilocca, Guandong Xu
2020	J	`jnl`	A Semisupervised Recurrent Convolutional Attention Model for Human Activity Recognition. IEEE Trans. Neural Networks Learn. Syst. Kaixuan Chen, Lina Yao, Dalin Zhang, Xianzhi Wang, Xiaojun Chang, Feiping Nie
2020	J	`jnl`	A unified framework for data integrity protection in people-centric smart cities. Multim. Tools Appl. May S. Altulyan, Lina Yao, Salil S. Kanhere, Xianzhi Wang, Chaoran Huang
2020	A*	`conf`	Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting. NeurIPS Lei Bai, Lina Yao, Can Li, Xianzhi Wang, Can Wang
2020	J	`jnl`	Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting. CoRR Lei Bai, Lina Yao, Can Li, Xianzhi Wang, Can Wang
2020	A*	`conf`	Adversarial Attacks and Detection on Reinforcement Learning-Based Interactive Recommender Systems. SIGIR Yuanjiang Cao, Xiaocong Chen, Lina Yao, Xianzhi Wang, Wei Emma Zhang
2020	J	`jnl`	Adversarial Attacks and Detection on Reinforcement Learning-Based Interactive Recommender Systems. CoRR Yuanjiang Cao, Xiaocong Chen, Lina Yao, Xianzhi Wang, Wei Emma Zhang
2020	J	`jnl`	Adversarial Multi-view Networks for Activity Recognition. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. Lei Bai, Lina Yao, Xianzhi Wang, Salil S. Kanhere, Bin Guo, Zhiwen Yu
2020	J	`jnl`	Agglomerative Neural Networks for Multi-view Clustering. CoRR Zhe Liu, Yun Li, Lina Yao, Xianzhi Wang, Feiping Nie
2020	J	`jnl`	An enhanced probabilistic fairness-aware group recommendation by incorporating social activeness. J. Netw. Comput. Appl. Yang Xiao, Qingqi Pei, Lina Yao, Shui Yu, Lei Bai, Xianzhi Wang
2020	B	`conf`	Are You A Risk Taker? Adversarial Learning of Asymmetric Cross-Domain Alignment for Risk Tolerance Prediction. IJCNN Zhe Liu, Lina Yao, Xianzhi Wang, Lei Bai, Jake An
2020	J	`jnl`	Are You A Risk Taker? Adversarial Learning of Asymmetric Cross-Domain Alignment for Risk Tolerance Prediction. CoRR Zhe Liu, Lina Yao, Xianzhi Wang, Lei Bai, Jake An
2020	J	`jnl`	Causality Learning: A New Perspective for Interpretable Machine Learning. CoRR Guandong Xu, Tri Dung Duong, Qian Li, Shaowu Liu, Xianzhi Wang
2020	J	`jnl`	Deep learning for misinformation detection on online social networks: a survey and new perspectives. Soc. Netw. Anal. Min. Md. Rafiqul Islam, Shaowu Liu, Xianzhi Wang, Guandong Xu
2020	J	`jnl`	Depression Detection with Multi-Modalities Using a Hybrid Deep Learning Model on Social Media. CoRR Hamad Zogan, Xianzhi Wang, Shoaib Jameel, Guandong Xu
2020	J	`jnl`	Face to Purchase: Predicting Consumer Choices with Structured Facial and Behavioral Traits Embedding. CoRR Zhe Liu, Xianzhi Wang, Lina Yao, Jake An, Lei Bai, Ee-Peng Lim
2020	J	`jnl`	From Appearance to Essence: Comparing Truth Discovery Methods without Using Ground Truth. ACM Trans. Intell. Syst. Technol. Xiu Susie Fang, Quan Z. Sheng, Xianzhi Wang, Wei Emma Zhang, Anne H. H. Ngu, Jian Yang
2020	J	`jnl`	Generative Inverse Deep Reinforcement Learning for Online Recommendation. CoRR Xiaocong Chen, Lina Yao, Aixin Sun, Xianzhi Wang, Xiwei Xu, Liming Zhu
2020	B	`conf`	Knowledge-guided Deep Reinforcement Learning for Interactive Recommendation. IJCNN Xiaocong Chen, Chaoran Huang, Lina Yao, Xianzhi Wang, Wei Liu, Wenjie Zhang
2020	J	`jnl`	Knowledge-guided Deep Reinforcement Learning for Interactive Recommendation. CoRR Xiaocong Chen, Chaoran Huang, Lina Yao, Xianzhi Wang, Wei Liu, Wenjie Zhang
2020	J	`jnl`	MGNN: Mutualistic Graph Neural Network for Joint Friend and Item Recommendation. IEEE Intell. Syst. Yang Xiao, Lina Yao, Qingqi Pei, Xianzhi Wang, Jian Yang, Quan Z. Sheng
2020	—	`conf`	MHIVis: Visual Analytics for Exploring Mental Illness of Policyholders in Life Insurance Industry. BESC Md. Rafiqul Islam, Shaowu Liu, Imran Razzak, Muhammad Ashad Kabir, Xianzhi Wang, Peter Tilocca, Guandong Xu
2020	J	`jnl`	Multi-Center Federated Learning. CoRR Ming Xie, Guodong Long, Tao Shen, Tianyi Zhou, Xianzhi Wang, Jing Jiang
2020	J	`jnl`	NP-PROV: Neural Processes with Position-Relevant-Only Variances. CoRR Xuesong Wang, Lina Yao, Xianzhi Wang, Feiping Nie
2020	J	`jnl`	Opinion fraud detection via neural autoencoder decision forest. Pattern Recognit. Lett. Manqing Dong, Lina Yao, Xianzhi Wang, Boualem Benatallah, Chaoran Huang, Xiaodong Ning
2020	—	`conf`	Prototype Similarity Learning for Activity Recognition. PAKDD (1) Lei Bai, Lina Yao, Xianzhi Wang, Salil S. Kanhere, Yang Xiao
2020	J	`jnl`	Rating prediction via generative convolutional neural networks based regression. Pattern Recognit. Lett. Xiaodong Ning, Lina Yao, Xianzhi Wang, Boualem Benatallah, Manqing Dong, Shuai Zhang
2020	J	`jnl`	RecRisk: An enhanced recommendation model with multi-facet risk control. Expert Syst. Appl. Yang Xiao, Qingqi Pei, Lina Yao, Xianzhi Wang
2020	J	`jnl`	Recommender Systems for the Internet of Things: A Survey. CoRR May S. Altulyan, Lina Yao, Xianzhi Wang, Chaoran Huang, Salil S. Kanhere, Quan Z. Sheng
2020	J	`jnl`	Software expert discovery via knowledge domain embeddings in a collaborative network. Pattern Recognit. Lett. Chaoran Huang, Lina Yao, Xianzhi Wang, Boualem Benatallah, Xiang Zhang
2020	A*	`conf`	Spectrum-Guided Adversarial Disparity Learning. KDD Zhe Liu, Lina Yao, Lei Bai, Xianzhi Wang, Can Wang
2020	J	`jnl`	Spectrum-Guided Adversarial Disparity Learning. CoRR Zhe Liu, Lina Yao, Lei Bai, Xianzhi Wang, Can Wang
2020	J	`jnl`	Trust in Recommender Systems: A Deep Learning Perspective. CoRR Manqing Dong, Feng Yuan, Lina Yao, Xianzhi Wang, Xiwei Xu, Liming Zhu
2020	A*	`conf`	Zero-Shot Object Detection via Learning an Embedding from Semantic Space to Visual Space. IJCAI Licheng Zhang, Xianzhi Wang, Lina Yao, Lin Wu, Feng Zheng
2020	B	`conf`	Zero-Shot Object Detection with Textual Descriptions Using Convolutional Neural Networks. IJCNN Licheng Zhang, Xianzhi Wang, Lina Yao, Feng Zheng
2019	J	`jnl`	A Survey on Deep Learning based Brain Computer Interface: Recent Advances and New Frontiers. CoRR Xiang Zhang, Lina Yao, Xianzhi Wang, Jessica Monaghan, David McAlpine
2019	B	`conf`	Dual-stream Self-Attentive Random Forest for False Information Detection. IJCNN Manqing Dong, Lina Yao, Xianzhi Wang, Boualem Benatallah, Xiang Zhang, Quan Z. Sheng
2019	C	`conf`	Expert2Vec: Distributed Expert Representation Learning in Question Answering Community. ADMA Xiaocong Chen, Chaoran Huang, Xiang Zhang, Xianzhi Wang, Wei Liu, Lina Yao
2019	A*	`conf`	Know Your Mind: Adaptive Cognitive Activity Recognition with Reinforced CNN. ICDM Xiang Zhang, Lina Yao, Xianzhi Wang, Wenjie Zhang, Shuai Zhang, Yunhao Liu
2019	J	`jnl`	Lightweight Anonymous Geometric Routing for Internet of Things. IEEE Access Yanbin Sun, Zhihong Tian, Yuhang Wang, Mohan Li, Shen Su, Xianzhi Wang, Dunqiu Fan
2019	J	`jnl`	Novel Artificial Bee Colony Algorithms for QoS-Aware Service Selection. IEEE Trans. Serv. Comput. Xianzhi Wang, Xiaofei Xu, Quan Z. Sheng, Zhongjie Wang, Lina Yao
2019	—	`conf`	Passenger Demand Forecasting with Multi-Task Convolutional Recurrent Neural Networks. PAKDD (2) Lei Bai, Lina Yao, Salil S. Kanhere, Zheng Yang, Jing Chu, Xianzhi Wang
2019	J	`jnl`	Recommendations on the Internet of Things: Requirements, Challenges, and Directions. IEEE Internet Comput. Lina Yao, Xianzhi Wang, Quan Z. Sheng, Schahram Dustdar, Shuai Zhang
2019	C	`conf`	Reminder Care System: An Activity-Aware Cross-Device Recommendation System. ADMA May S. Altulyan, Chaoran Huang, Lina Yao, Xianzhi Wang, Salil S. Kanhere, Yuanjiang Cao
2019	A*	`conf`	STG2Seq: Spatial-Temporal Graph to Sequence Model for Multi-step Passenger Demand Forecasting. IJCAI Lei Bai, Lina Yao, Salil S. Kanhere, Xianzhi Wang, Quan Z. Sheng
2019	J	`jnl`	STG2Seq: Spatial-temporal Graph to Sequence Model for Multi-step Passenger Demand Forecasting. CoRR Lei Bai, Lina Yao, Salil S. Kanhere, Xianzhi Wang, Quan Z. Sheng
2019	—	`conf`	Similarity-Aware Deep Attentive Model for Clickbait Detection. PAKDD (2) Manqing Dong, Lina Yao, Xianzhi Wang, Boualem Benatallah, Chaoran Huang
2019	J	`jnl`	SmartVote: a full-fledged graph-based model for multi-valued truth discovery. World Wide Web Xiu Susie Fang, Quan Z. Sheng, Xianzhi Wang, Dianhui Chu, Anne H. H. Ngu
2019	A	`conf`	Spatio-Temporal Graph Convolutional and Recurrent Networks for Citywide Passenger Demand Prediction. CIKM Lei Bai, Lina Yao, Salil S. Kanhere, Xianzhi Wang, Wei Liu, Zheng Yang
2019	J	`jnl`	Towards Privacy-Preserving Location Sharing over Mobile Online Social Networks. IEICE Trans. Inf. Syst. Juan Chen, Shen Su, Xianzhi Wang
2019	J	`jnl`	Trust architecture and reputation evaluation for internet of things. J. Ambient Intell. Humaniz. Comput. Juan Chen, Zhihong Tian, Xiang Cui, Lihua Yin, Xianzhi Wang
2019	A*	`conf`	Zero-Shot Object Detection with Textual Descriptions. AAAI Zhihui Li, Lina Yao, Xiaoqin Zhang, Xianzhi Wang, Salil S. Kanhere, Huaxiang Zhang
2018	J	`jnl`	A Survey on Expert Recommendation in Community Question Answering. CoRR Xianzhi Wang, Chaoran Huang, Lina Yao, Boualem Benatallah, Manqing Dong
2018	J	`jnl`	A Survey on Expert Recommendation in Community Question Answering. J. Comput. Sci. Technol. Xianzhi Wang, Chaoran Huang, Lina Yao, Boualem Benatallah, Manqing Dong
2018	J	`jnl`	A new paradigm of software service engineering in big data and big service era. Computing Xiaofei Xu, Gianmario Motta, Zhiying Tu, Hanchuan Xu, Zhongjie Wang, Xianzhi Wang
2018	B	`conf`	Automatic Device Classification from Network Traffic Streams of Internet of Things. LCN Lei Bai, Lina Yao, Salil S. Kanhere, Xianzhi Wang, Zheng Yang
2018	J	`jnl`	Automatic Device Classification from Network Traffic Streams of Internet of Things. CoRR Lei Bai, Lina Yao, Salil S. Kanhere, Xianzhi Wang, Zheng Yang
2018	J	`jnl`	Collaborative Fall Detection Using Smart Phone and Kinect. Mob. Networks Appl. Xue Li, Lanshun Nie, Hanchuan Xu, Xianzhi Wang
2018	J	`jnl`	Collaborative Location Recommendation by Integrating Multi-dimensional Contextual Information. ACM Trans. Internet Techn. Lina Yao, Quan Z. Sheng, Xianzhi Wang, Wei Emma Zhang, Yongrui Qin
2018	J	`jnl`	Collaborative text categorization via exploiting sparse coefficients. World Wide Web Lina Yao, Quan Z. Sheng, Xianzhi Wang, Shengrui Wang, Xue Li, Sen Wang
2018	J	`jnl`	Compressive Representation for Device-Free Activity Recognition with Passive RFID Signal Strength. IEEE Trans. Mob. Comput. Lina Yao, Quan Z. Sheng, Xue Li, Tao Gu, Mingkui Tan, Xianzhi Wang, Sen Wang, Wenjie Ruan
2018	—	`conf`	DUAL: A Deep Unified Attention Model with Latent Relation Representations for Fake News Detection. WISE (1) Manqing Dong, Lina Yao, Xianzhi Wang, Boualem Benatallah, Quan Z. Sheng, Hao Huang
2018	—	`conf`	Data-Augmented Regression with Generative Convolutional Network. WISE (2) Xiaodong Ning, Lina Yao, Xianzhi Wang, Boualem Benatallah, Shuai Zhang, Xiang Zhang
2018	A	`conf`	Expert Recommendation via Tensor Factorization with Regularizing Hierarchical Topical Relationships. ICSOC Chaoran Huang, Lina Yao, Xianzhi Wang, Boualem Benatallah, Shuai Zhang, Manqing Dong
2018	J	`jnl`	Expert Recommendation via Tensor Factorization with Regularizing Hierarchical Topical Relationships. CoRR Chaoran Huang, Lina Yao, Xianzhi Wang, Boualem Benatallah, Shuai Zhang, Manqing Dong
2018	J	`jnl`	GrCAN: Gradient Boost Convolutional Autoencoder with Neural Decision Forest. CoRR Manqing Dong, Lina Yao, Xianzhi Wang, Boualem Benatallah, Shuai Zhang
2018	B	`conf`	Interpretable Parallel Recurrent Neural Networks with Convolutional Attentions for Multi-Modality Activity Modeling. IJCNN Kaixuan Chen, Lina Yao, Xianzhi Wang, Dalin Zhang, Tao Gu, Zhiwen Yu, Zheng Yang
2018	J	`jnl`	Interpretable Parallel Recurrent Neural Networks with Convolutional Attentions for Multi-Modality Activity Modeling. CoRR Kaixuan Chen, Lina Yao, Xianzhi Wang, Dalin Zhang, Tao Gu, Zhiwen Yu, Zheng Yang
2018	J	`jnl`	Know Your Mind: Adaptive Brain Signal Classification with Reinforced Attentive Convolutional Neural Networks. CoRR Xiang Zhang, Lina Yao, Xianzhi Wang, Wenjie Zhang, Zheng Yang, Yunhao Liu
2018	J	`jnl`	Opinion Fraud Detection via Neural Autoencoder Decision Forest. CoRR Manqing Dong, Lina Yao, Xianzhi Wang, Boualem Benatallah, Chaoran Huang, Xiaodong Ning
2018	C	`conf`	Predicting Citywide Passenger Demand via Reinforcement Learning from Spatio-Temporal Dynamics. MobiQuitous Xiaodong Ning, Lina Yao, Xianzhi Wang, Boualem Benatallah, Flora D. Salim, Pari Delir Haghighi
2018	J	`jnl`	Software Expert Discovery via Knowledge Domain Embeddings in a Collaborative Network. CoRR Chaoran Huang, Lina Yao, Xianzhi Wang, Boualem Benatallah, Xiang Zhang
2018	J	`jnl`	WITS: an IoT-endowed computational framework for activity recognition in personalized smart homes. Computing Lina Yao, Quan Z. Sheng, Boualem Benatallah, Schahram Dustdar, Xianzhi Wang, Ali Shemshadi, Salil S. Kanhere
2017	—	`ch.`	Building Entity Graphs for the Web of Things Management. Managing the Web of Things Lina Yao, Quan Z. Sheng, Anne H. H. Ngu, Xue Li, Boualem Benatallah, Xianzhi Wang
2017	C	`conf`	Calling for Response: Automatically Distinguishing Situation-Aware Tweets During Crises. ADMA Xiaodong Ning, Lina Yao, Xianzhi Wang, Boualem Benatallah
2017	J	`jnl`	DeepKey: An EEG and Gait Based Dual-Authentication System. CoRR Xiang Zhang, Lina Yao, Kaixuan Chen, Xianzhi Wang, Quan Z. Sheng, Tao Gu
2017	J	`jnl`	Enhancing Mind Controlled Smart Living Through Recurrent Neural Networks. CoRR Xiang Zhang, Lina Yao, Chaoran Huang, Quan Z. Sheng, Xianzhi Wang
2017	A	`conf`	Expert as a Service: Software Expert Recommendation via Knowledge Domain Embeddings in Stack Overflow. ICWS Chaoran Huang, Lina Yao, Xianzhi Wang, Boualem Benatallah, Quan Z. Sheng
2017	J	`jnl`	From Appearance to Essence: Comparing Truth Discovery Methods without Using Ground Truth. CoRR Xiu Susie Fang, Quan Z. Sheng, Xianzhi Wang, Wei Emma Zhang, Anne H. H. Ngu
2017	J	`jnl`	Fullie and Wiselie: A Dual-Stream Recurrent Convolutional Attention Model for Activity Recognition. CoRR Kaixuan Chen, Lina Yao, Tao Gu, Zhiwen Yu, Xianzhi Wang, Dalin Zhang
2017	—	`conf`	Intent Recognition in Smart Living Through Deep Recurrent Neural Networks. ICONIP (2) Xiang Zhang, Lina Yao, Chaoran Huang, Quan Z. Sheng, Xianzhi Wang
2017	A	`conf`	Multi-Level Privacy-Preserving Access Control as a Service for Personal Healthcare Monitoring. ICWS Usama Salama, Lina Yao, Xianzhi Wang, Hye-Young Paik, Amin Beheshti
2017	C	`conf`	Multi-Person Brain Activity Recognition via Comprehensive EEG Signal Analysis. MobiQuitous Xiang Zhang, Lina Yao, Dalin Zhang, Xianzhi Wang, Quan Z. Sheng, Tao Gu
2017	J	`jnl`	Multi-Person Brain Activity Recognition via Comprehensive EEG Signal Analysis. CoRR Xiang Zhang, Lina Yao, Dalin Zhang, Xianzhi Wang, Quan Z. Sheng, Tao Gu
2017	—	`conf`	Privacy Protection for Location Sharing Services in Social Networks. MLICOM (1) Hui Wang, Juan Chen, Xianzhi Wang, Xin Liu, Zhenyu Na
2017	—	`conf`	Reputation-Based Framework for Internet of Things. MLICOM (1) Juan Chen, Zheng-Kui Lin, Xin Liu, Zhi-An Deng, Xianzhi Wang
2017	J	`jnl`	S-ABC: A paradigm of service domain-oriented artificial bee colony algorithms for service selection and composition. Future Gener. Comput. Syst. Xiaofei Xu, Zhizhong Liu, Zhongjie Wang, Quan Z. Sheng, Jian Yu, Xianzhi Wang
2017	J	`jnl`	SmartMTD: A Graph-Based Approach for Effective Multi-Truth Discovery. CoRR Xiu Susie Fang, Quan Z. Sheng, Xianzhi Wang, Anne H. H. Ngu
2017	A	`conf`	SourceVote: Fusing Multi-valued Data via Inter-source Agreements. ER Xiu Susie Fang, Quan Z. Sheng, Xianzhi Wang, Mahmoud Barhamgi, Lina Yao, Anne H. H. Ngu
2017	—	`conf`	Value Veracity Estimation for Multi-Truth Objects via a Graph-Based Approach. WWW (Companion Volume) Xiu Susie Fang, Quan Z. Sheng, Xianzhi Wang, Anne H. H. Ngu
2016	J	`jnl`	A New Paradigm of Software Service Engineering in the Era of Big Data and Big Service. CoRR Xiaofei Xu, Gianmario Motta, Xianzhi Wang, Zhiying Tu, Hanchuan Xu
2016	C	`conf`	An Ensemble Approach for Better Truth Discovery. ADMA Xiu Susie Fang, Quan Z. Sheng, Xianzhi Wang
2016	A	`conf`	Context as a Service: Realizing Internet of Things-Aware Processes for the Independent Living of the Elderly. ICSOC Lina Yao, Boualem Benatallah, Xianzhi Wang, Nguyen Khoi Tran, Qinghua Lu
2016	C	`conf`	Elimination of zero sequence circulating current between parallel operating three-level inverters. IECON Kai Li, Xiaodong Wang, Zhenhua Dong, Xianzhi Wang, Josep M. Guerrero, Juan C. Vasquez, Qingsong Wang
2016	A	`conf`	Empowering Truth Discovery with Multi-Truth Prediction. CIKM Xianzhi Wang, Quan Z. Sheng, Lina Yao, Xue Li, Xiu Susie Fang, Xiaofei Xu, Boualem Benatallah
2016	A	`conf`	PLMwsp: Probabilistic Latent Model for Web Service QoS Prediction. ICWS Bobaker Mohamed A. Madi, Quan Z. Sheng, Lina Yao, Yongrui Qin, Xianzhi Wang
2016	A	`conf`	Truth Discovery via Exploiting Implications from Multi-Source Data. CIKM Xianzhi Wang, Quan Z. Sheng, Lina Yao, Xue Li, Xiu Susie Fang, Xiaofei Xu, Boualem Benatallah
2015	—	`conf`	A Framework Towards Model Driven Business Process Compliance and Monitoring. EDOC Workshops Kala Kotamarthi, Xianzhi Wang, Georg Grossmann, Quan Z. Sheng, Sarath Indrakanti
2015	A	`conf`	An Integrated Bayesian Approach for Effective Multi-Truth Discovery. CIKM Xianzhi Wang, Quan Z. Sheng, Xiu Susie Fang, Lina Yao, Xiaofei Xu, Xue Li
2015	A	`conf`	Approximate Truth Discovery via Problem Scale Reduction. CIKM Xianzhi Wang, Quan Z. Sheng, Xiu Susie Fang, Xue Li, Xiaofei Xu, Lina Yao
2015	A*	`conf`	Context-aware Point-of-Interest Recommendation Using Tensor Factorization with Social Regularization. SIGIR Lina Yao, Quan Z. Sheng, Yongrui Qin, Xianzhi Wang, Ali Shemshadi, Qi He
2015	Misc	`conf`	Ontology Augmentation via Attribute Extraction from Multiple Types of Sources. ADC Xiu Susie Fang, Xianzhi Wang, Quan Z. Sheng
2015	A	`conf`	Service Recommendation for Mashup Composition with Implicit Correlation Regularization. ICWS Lina Yao, Xianzhi Wang, Quan Z. Sheng, Wenjie Ruan, Wei Zhang
2015	J	`jnl`	Up in the Air: When Homes Meet the Web of Things. CoRR Lina Yao, Quan Z. Sheng, Boualem Benatallah, Schahram Dustdar, Ali Shemshadi, Xianzhi Wang, Anne H. H. Ngu
2013	A	`conf`	A Novel Service Composition Approach for Application Migration to Cloud. ICSOC Xianzhi Wang, Xuejun Zhuo, Bo Yang, Fan Jing Meng, Pu Jin, Woody Huang, Christopher C. Young, Catherine Zhang, Jing Min Xu, Michael Montinarelli
2013	A	`conf`	An Improved Artificial Bee Colony Approach to QoS-Aware Service Selection. ICWS Xianzhi Wang, Zhongjie Wang, Xiaofei Xu
2013	—	`conf`	Mass Customization Oriented and Cost-Effective Service Network. IWEI Zhongjie Wang, Xiaofei Xu, Xianzhi Wang
2012	A	`conf`	Analytic Profit Optimization of Service-Based Systems. ICWS Xianzhi Wang, Zhongjie Wang, Xiaofei Xu
2012	J	`jnl`	Effective Service Composition in Large Scale Service Market: An Empirical Evidence Enhanced Approach. Int. J. Web Serv. Res. Xianzhi Wang, Zhongjie Wang, Xiaofei Xu
2011	—	`conf`	Price Heuristics for Highly Efficient Profit Optimization of Service Composition. IEEE SCC Xianzhi Wang, Zhongjie Wang, Xiaofei Xu
2011	A	`conf`	Semi-empirical Service Composition: A Clustering Based Approach. ICWS Xianzhi Wang, Zhongjie Wang, Xiaofei Xu
2010	—	`conf`	A Generalized Service Resource Management Framework. ICSS YanQiu Meng, Zhongjie Wang, Xiaofei Xu, Xianzhi Wang
2010	B	`conf`	A Service Composition Approach for the Fulfillment of Temporally Sequential Requirements. SERVICES Xianzhi Wang, Zhongjie Wang, Xiaofei Xu, Alice Liu, Dian-Hui Chu
2010	—	`conf`	Life Cycle of Virtualized Service Resource in BIRIS Environment. IESS Xiaofei Xu, Xianzhi Wang, Zhongjie Wang
2010	—	`conf`	The Bundling of Multiple Requirements for Maximizing the Utilization of Service Resources. ICEBE Zhongjie Wang, Xiaofei Xu, Dian-Hui Chu, Xianzhi Wang