Xianzhi Wang

ORCID

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 184

Top Venues

Publications

Xiu Susie Fang, Xianzhi Wang, Quan Z. Sheng, Lina Yao
Generalizing truth discovery by incorporating multi-truth features. Computing 106 (5) (2024)
Md. Kowsar Hossain Sakib, Md Rafiqul Islam, Shanjita Akter Prome, Thanh Thao Lam Nguyen, David Asirvatham, Neethiahnanthan Ari Ragavan, Xianzhi Wang, Cesar Sanín
MVis4LD: Multimodal Visual Interactive System for Lie Detection. ACIIDS (2) (2024)
Mingyi Liu, Zhiying Tu, Tonghua Su, Xianzhi Wang, Xiaofei Xu, Zhongjie Wang
BehaviorNet: A Fine-grained Behavior-aware Network for Dynamic Link Prediction. ACM Trans. Web 18 (2) (2024)
Chao Yang, Xianzhi Wang, Lina Yao, Guodong Long, Guandong Xu
Dyformer: A dynamic transformer-based architecture for multivariate time series classification. Inf. Sci. 656 (2024)
Ruotong Hu, Xianzhi Wang, Xiaojun Chang, Yongle Zhang, Yeqi Hu, Xinyuan Liu, Shusong Yu
CStrCRL: Cross-View Contrastive Learning Through Gated GCN With Strong Augmentations for Skeleton Recognition. IEEE Trans. Circuits Syst. Video Technol. 34 (8) (2024)
Yakun Chen, Ruotong Hu, Zihao Li, Chao Yang, Xianzhi Wang, Guodong Long, Guandong Xu
Exploring explicit and implicit graph learning for multivariate time series imputation. Eng. Appl. Artif. Intell. 127 (Part A) (2024)
Md. Rafiqul Islam, Shanjita Akter, Linta Islam, Imran Razzak, Xianzhi Wang, Guandong Xu
Strategies for evaluating visual analytics systems: A systematic review and new perspectives. Inf. Vis. 23 (1) (2024)
Md. Rafiqul Islam, Imran Razzak, Xianzhi Wang, Peter Tilocca, Guandong Xu
Natural language interactions enhanced by data visualization to explore insurance claims and manage risk. Ann. Oper. Res. 339 (3) (2024)
Yakun Chen, Kaize Shi, Zhangkai Wu, Juan Chen, Xianzhi Wang, Julian J. McAuley, Guandong Xu, Shui Yu
Temporal Disentangled Contrastive Diffusion Model for Spatiotemporal Imputation. CoRR (2024)
Li He, Kaize Shi, Dingxian Wang, Xianzhi Wang, Guandong Xu
A topic-controllable keywords-to-text generator with knowledge base network. CAAI Trans. Intell. Technol. 9 (3) (2024)
Hadeel Alhosaini, Sultan Alharbi, Xianzhi Wang, Guandong Xu
API Recommendation For Mashup Creation: A Comprehensive Survey. Comput. J. 67 (5) (2024)
Zihao Li, Yakun Chen, Xianzhi Wang, Lina Yao, Guandong Xu
Multi-view GCN for loan default risk prediction. Neural Comput. Appl. 36 (20) (2024)
Li He, Guandong Xu, Shoaib Jameel, Xianzhi Wang, Hongxu Chen
Graph-Aware Deep Fusion Networks for Online Spam Review Detection. IEEE Trans. Comput. Soc. Syst. 10 (5) (2023)
Xiaocong Chen, Lina Yao, Julian J. McAuley, Guanglin Zhou, Xianzhi Wang
Deep reinforcement learning in recommender systems: A survey and new perspectives. Knowl. Based Syst. 264 (2023)
Chao Yang, Xianzhi Wang, Lina Yao, Guodong Long, Guandong Xu
From Time Series to Multi-modality: Classifying Multivariate Time Series via Both 1D and 2D Representations. ADMA (1) (2023)
Yakun Chen, Kaize Shi, Xianzhi Wang, Guandong Xu
MTSTI: A Multi-task Learning Framework for Spatiotemporal Imputation. ADMA (5) (2023)
Xiaocong Chen, Lina Yao, Xianzhi Wang, Aixin Sun, Quan Z. Sheng
Generative Adversarial Reward Learning for Generalized Behavior Tendency Inference. IEEE Trans. Knowl. Data Eng. 35 (10) (2023)
Abdul Matin, Md. Rafiqul Islam, Xianzhi Wang, Huan Huo, Guandong Xu
AIoT for sustainable manufacturing: Overview, challenges, and opportunities. Internet Things 24 (2023)
Chao Yang, Yakun Chen, Zihao Li, Xianzhi Wang
Exploring the Effectiveness of Positional Embedding on Transformer-Based Architectures for Multivariate Time Series Classification. ADMA (1) (2023)
Yao Liu, Binghao Li, Xianzhi Wang, Claude Sammut, Lina Yao
Attention-aware Social Graph Transformer Networks for Stochastic Trajectory Prediction. CoRR (2023)
Yakun Chen, Xianzhi Wang, Guandong Xu
GATGPT: A Pre-trained Large Language Model with Graph Attention Network for Spatiotemporal Imputation. CoRR (2023)
Chao Yang, Xianzhi Wang, Lina Yao, Guodong Long, Jing Jiang, Guandong Xu
Attentional Gated Res2Net for Multivariate Time Series Classification. Neural Process. Lett. 55 (2) (2023)
Kangzheng Liu, Feng Zhao, Guandong Xu, Xianzhi Wang, Hai Jin
RETIA: Relation-Entity Twin-Interact Aggregation for Temporal Knowledge Graph Extrapolation. ICDE (2023)
Manqing Dong, Lina Yao, Xianzhi Wang, Xiwei Xu, Liming Zhu
Adversarial dual autoencoders for trust-aware recommendation. Neural Comput. Appl. 35 (18) (2023)
Chengkai Huang, Shoujin Wang, Xianzhi Wang, Lina Yao
Modeling Temporal Positive and Negative Excitation for Sequential Recommendation. WWW (2023)
Chengkai Huang, Shoujin Wang, Xianzhi Wang, Lina Yao
Dual Contrastive Transformer for Hierarchical Preference Modeling in Sequential Recommendation. SIGIR (2023)
Zihao Li, Xianzhi Wang, Chao Yang, Lina Yao, Julian J. McAuley, Guandong Xu
Exploiting Explicit and Implicit Item relationships for Session-based Recommendation. WSDM (2023)
Manqing Dong, Lina Yao, Xianzhi Wang, Boualem Benatallah, Shuai Zhang, Quan Z. Sheng
Gradient Boosted Neural Decision Forest. IEEE Trans. Serv. Comput. 16 (1) (2023)
Guodong Long, Ming Xie, Tao Shen, Tianyi Zhou, Xianzhi Wang, Jing Jiang
Multi-center federated learning: clients clustering for better personalization. World Wide Web (WWW) 26 (1) (2023)
Xiao Wang, Hanchuan Xu, Xianzhi Wang, Xiaofei Xu, Zhongjie Wang
A Graph Neural Network and Pointer Network-Based Approach for QoS-Aware Service Composition. IEEE Trans. Serv. Comput. 16 (3) (2023)
Li He, Xianzhi Wang, Dingxian Wang, Haoyuan Zou, Hongzhi Yin, Guandong Xu
Simplifying Graph-based Collaborative Filtering for Recommendation. WSDM (2023)
Xuesong Wang, Lina Yao, Xianzhi Wang, Hye-Young Paik, Sen Wang
Uncertainty Estimation With Neural Processes for Meta-Continual Learning. IEEE Trans. Neural Networks Learn. Syst. 34 (10) (2023)
Ruotong Hu, Xianzhi Wang, Xiaojun Chang, Yeqi Hu, Xiaowei Xin, Xiangqian Ding, Baoqi Guo
RASNet: A Reinforcement Assistant Network for Frame Selection in Video-based Posture Recognition. ICME (2023)
Afshar Shamsi Jokandan, Hamzeh Asgharnezhad, Ziba Bouchani, Khadijeh Jahanian, Morteza Saberi, Xianzhi Wang, Imran Razzak, Roohallah Alizadehsani, Arash Mohammadi, Hamid Alinejad-Rokny
A novel uncertainty-aware deep learning technique with an application on skin cancer diagnosis. Neural Comput. Appl. 35 (30) (2023)
Shiqing Wu, Guandong Xu, Xianzhi Wang
SOAC: Supervised Off-Policy Actor-Critic for Recommender Systems. ICDM (2023)
May S. Altulyan, Chaoran Huang, Lina Yao, Xianzhi Wang, Salil S. Kanhere
Deep Reinforcement Learning for Dynamic Things of Interest Recommendation in Intelligent Ambient Environment. AI (2022)
Zihao Li, Xianzhi Wang, Lina Yao, Yakun Chen, Guandong Xu, Ee-Peng Lim
Graph Neural Network with Self-attention and Multi-task Learning for Credit Default Risk Prediction. WISE (2022)
Jingcheng Li, Lina Yao, Binghao Li, Xianzhi Wang, Claude Sammut
Multi-agent Transformer Networks for Multimodal Human Activity Recognition. CIKM (2022)
Xiaocong Chen, Yun Li, Lina Yao, Ehsan Adeli, Yu Zhang, Xianzhi Wang
Generative adversarial U-Net for domain-free few-shot medical diagnosis. Pattern Recognit. Lett. 157 (2022)
Manqing Dong, Feng Yuan, Lina Yao, Xianzhi Wang, Xiwei Xu, Liming Zhu
A survey for trust-aware recommender systems: A deep learning perspective. Knowl. Based Syst. 249 (2022)
Zhe Liu, Xianzhi Wang, Yun Li, Lina Yao, Jake An, Lei Bai, Ee-Peng Lim
Face to purchase: Predicting consumer choices with structured facial and behavioral traits embedding. Knowl. Based Syst. 235 (2022)
Yao Liu, Lina Yao, Binghao Li, Xianzhi Wang, Claude Sammut
Social Graph Transformer Networks for Pedestrian Trajectory Prediction in Complex Social Scenarios. CIKM (2022)
Chaoran Huang, Lina Yao, Xianzhi Wang, Quan Z. Sheng, Schahram Dustdar, Zhongjie Wang, Xiaofei Xu
Intent-Aware Interactive Internet of Things for Enhanced Collaborative Ambient Intelligence. IEEE Internet Comput. 26 (5) (2022)
Zhong Yang, Bolong Zheng, Xianzhi Wang, Guohui Li, Xiaofang Zhou
minIL: A Simple and Small Index for String Similarity Search with Edit Distance. ICDE (2022)
Xiu Susie Fang, Quan Z. Sheng, Jian Yang, Guohao Sun, Xianzhi Wang, Yihong Zhang
Resolving Conflicts among Unbalanced Multi-Source Data When Multi-Value Objects Exist. INFOCOM Workshops (2022)
Hadeel Alhosaini, Xianzhi Wang, Lina Yao, Zhong Yang, Farookh Hussain, Ee-Peng Lim
Harnessing Confidence for Report Aggregation in Crowdsourcing Environments. SCC (2022)
Kangzheng Liu, Feng Zhao, Guandong Xu, Xianzhi Wang, Hai Jin
Temporal Knowledge Graph Reasoning via Time-Distributed Representation Learning. ICDM (2022)
Jing Du, Lina Yao, Xianzhi Wang, Bin Guo, Zhiwen Yu
Hierarchical Task-aware Multi-Head Attention Network. SIGIR (2022)
Yun Li, Zhe Liu, Lina Yao, Xianzhi Wang, Julian J. McAuley, Xiaojun Chang
An Entropy-Guided Reinforced Partial Convolutional Network for Zero-Shot Learning. IEEE Trans. Circuits Syst. Video Technol. 32 (8) (2022)
Xiaocong Chen, Lina Yao, Julian J. McAuley, Weili Guan, Xiaojun Chang, Xianzhi Wang
Locality-Sensitive State-Guided Experience Replay Optimization for Sparse Rewards in Online Recommendation. SIGIR (2022)
Hadeel Alhosaini, Xianzhi Wang, Lina Yao, Yakun Chen, Guandong Xu
Caching Hierarchical Skylines for Efficient Service Composition on Service Graphs. SCC (2022)
Hamad Zogan, Imran Razzak, Xianzhi Wang, Shoaib Jameel, Guandong Xu
Explainable depression detection with multi-aspect features using a hybrid deep learning model on social media. World Wide Web 25 (1) (2022)
Li He, Xianzhi Wang, Hongxu Chen, Guandong Xu
Online Spam Review Detection: A Survey of Literature. Hum. Centric Intell. Syst. 2 (1-2) (2022)
Bavly Hanna, Guandong Xu, Xianzhi Wang, Jahangir Hossain
Blockchain-based solutions for Humanitarian supply Chain Management. AMCIS (2022)
May S. Altulyan, Lina Yao, Xianzhi Wang, Chaoran Huang, Salil S. Kanhere, Quan Z. Sheng
A Survey on Recommender Systems for Internet of Things: Techniques, Applications and Future Directions. Comput. J. 65 (8) (2022)
Siyu Wang, Yuanjiang Cao, Xiaocong Chen, Lina Yao, Xianzhi Wang, Quan Z. Sheng
Adversarial Robustness of Deep Reinforcement Learning Based Dynamic Recommender Systems. Frontiers Big Data 5 (2022)
Zhe Liu, Yun Li, Lina Yao, Xianzhi Wang, Feiping Nie
Agglomerative Neural Networks for Multiview Clustering. IEEE Trans. Neural Networks Learn. Syst. 33 (7) (2022)
Yakun Chen, Zihao Li, Chao Yang, Xianzhi Wang, Guodong Long, Guandong Xu
Adaptive Graph Recurrent Network for Multivariate Time Series Imputation. ICONIP (5) (2022)
Chao Yang, Xianzhi Wang, Lina Yao, Jing Jiang, Guandong Xu
An Explanation Module for Deep Neural Networks Facing Multivariate Time Series Classification. AI (2022)
Chao Yang, Xianzhi Wang, Lina Yao, Guodong Long, Jing Jiang, Guandong Xu
Attentional Gated Res2net for Multivariate Time Series Classification. ICASSP (2022)
May S. Altulyan, Chaoran Huang, Lina Yao, Xianzhi Wang, Salil S. Kanhere
Contextual Bandit Learning for Activity-Aware Things-of-Interest Recommendation in an Assisted Living Environment. ADC (2021)
Md. Rafiqul Islam, Jiaming Zhang, Md. Hamjajul Ashmafee, Imran Razzak, Jianlong Zhou, Xianzhi Wang, Guandong Xu
ExVis: Explainable Visual Decision Support System for Risk Management. BESC (2021)
Xuesong Wang, Lina Yao, Xianzhi Wang, Hye-Young Paik, Sen Wang
Global Convolutional Neural Processes. ICDM (2021)
Ming Xie, Guodong Long, Tao Shen, Tianyi Zhou, Xianzhi Wang, Jing Jiang, Chengqi Zhang
Multi-Center Federated Learning. CoRR (2021)
Xiaocong Chen, Lina Yao, Xianzhi Wang, Aixin Sun, Wenjie Zhang, Quan Z. Sheng
Generative Adversarial Reward Learning for Generalized Behavior Tendency Inference. CoRR (2021)
Siyu Wang, Yuanjiang Cao, Xiaocong Chen, Lina Yao, Xianzhi Wang, Quan Z. Sheng
Adversarial Robustness of Deep Reinforcement Learning based Dynamic Recommender Systems. CoRR (2021)
Xiaocong Chen, Lina Yao, Aixin Sun, Xianzhi Wang, Xiwei Xu, Liming Zhu
Generative Inverse Deep Reinforcement Learning for Online Recommendation. CIKM (2021)
Md. Rafiqul Islam, Imran Razzak, Xianzhi Wang, Peter Tilocca, Guandong Xu
UCBVis: Understanding Customer Behavior Sequences with Visual Interactive System. IJCNN (2021)
Zhe Liu, Yun Li, Lina Yao, Xianzhi Wang, Guodong Long
Task Aligned Generative Meta-learning for Zero-shot Learning. AAAI (2021)
May S. Altulyan, Lina Yao, Chaoran Huang, Xianzhi Wang, Salil S. Kanhere
Context-Induced Activity Monitoring for On-Demand Things-of-Interest Recommendation in an Ambient Intelligent Environment. Future Internet 13 (12) (2021)
Xuesong Wang, Lina Yao, Xianzhi Wang, Hye-young Paik, Sen Wang
Global Convolutional Neural Processes. CoRR (2021)
Guangjun Li, Xianzhi Wang, Minxi Li
A Review of Recent Trends and Industry Prospects for Artificial Intelligence Technologies. BESC (2021)
Yun Li, Zhe Liu, Lina Yao, Xianzhi Wang, Can Wang
Attribute-Modulated Generative Meta Learning for Zero-Shot Classification. CoRR (2021)
Xiaocong Chen, Lina Yao, Xianzhi Wang, Julian McAuley
Locality-Sensitive Experience Replay for Online Recommendation. CoRR (2021)
Lina Yao, Xianzhi Wang, Quan Z. Sheng, Boualem Benatallah, Chaoran Huang
Mashup Recommendation by Regularizing Matrix Factorization with API Co-Invocations. IEEE Trans. Serv. Comput. 14 (2) (2021)
Xiaocong Chen, Lina Yao, Julian McAuley, Guanglin Zhou, Xianzhi Wang
A Survey of Deep Reinforcement Learning in Recommender Systems: A Systematic Review and Future Directions. CoRR (2021)
Xuesong Wang, Lina Yao, Xianzhi Wang, Feiping Nie, Boualem Benatallah
NP-PROV: Neural Processes with Position-Relevant-Only Variances. WISE (1) (2021)
Yun Li, Zhe Liu, Lina Yao, Xianzhi Wang, Julian McAuley, Xiaojun Chang
An Entropy-guided Reinforced Partial Convolutional Network for Zero-Shot Learning. CoRR (2021)
Usama Salama, Xiaocong Chen, Lina Yao, Hye-Young Paik, Xianzhi Wang
Deep Multi-view Spatio-Temporal Network for Urban Crime Prediction. ADC (2021)
Zhe Liu, Yun Li, Lina Yao, Xianzhi Wang, Guodong Long
Task Aligned Generative Meta-learning for Zero-shot Learning. CoRR (2021)
Lei Bai, Lina Yao, Xianzhi Wang, Can Li, Xiang Zhang
Deep spatial-temporal sequence modeling for multi-step passenger demand prediction. Future Gener. Comput. Syst. 121 (2021)
Manqing Dong, Lina Yao, Xianzhi Wang, Xiwei Xu, Liming Zhu
MetaGB: A Gradient Boosting Framework for Efficient Task Adaptive Meta Learning. ICDM (2021)
Yuanjiang Cao, Xiaocong Chen, Lina Yao, Xianzhi Wang, Wei Emma Zhang
Adversarial Attacks and Detection on Reinforcement Learning-Based Interactive Recommender Systems. CoRR (2020)
Md. Rafiqul Islam, Shaowu Liu, Imran Razzak, Muhammad Ashad Kabir, Xianzhi Wang, Peter Tilocca, Guandong Xu
MHIVis: Visual Analytics for Exploring Mental Illness of Policyholders in Life Insurance Industry. BESC (2020)
Yang Xiao, Qingqi Pei, Lina Yao, Xianzhi Wang
RecRisk: An enhanced recommendation model with multi-facet risk control. Expert Syst. Appl. 158 (2020)
Zhe Liu, Lina Yao, Xianzhi Wang, Lei Bai, Jake An
Are You A Risk Taker? Adversarial Learning of Asymmetric Cross-Domain Alignment for Risk Tolerance Prediction. CoRR (2020)
Zhe Liu, Yun Li, Lina Yao, Xianzhi Wang, Feiping Nie
Agglomerative Neural Networks for Multi-view Clustering. CoRR (2020)
Ming Xie, Guodong Long, Tao Shen, Tianyi Zhou, Xianzhi Wang, Jing Jiang
Multi-Center Federated Learning. CoRR (2020)
Lei Bai, Lina Yao, Can Li, Xianzhi Wang, Can Wang
Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting. CoRR (2020)
Xiu Susie Fang, Quan Z. Sheng, Xianzhi Wang, Wei Emma Zhang, Anne H. H. Ngu, Jian Yang
From Appearance to Essence: Comparing Truth Discovery Methods without Using Ground Truth. ACM Trans. Intell. Syst. Technol. 11 (6) (2020)
Zhe Liu, Lina Yao, Lei Bai, Xianzhi Wang, Can Wang
Spectrum-Guided Adversarial Disparity Learning. KDD (2020)
May S. Altulyan, Lina Yao, Xianzhi Wang, Chaoran Huang, Salil S. Kanhere, Quan Z. Sheng
Recommender Systems for the Internet of Things: A Survey. CoRR (2020)
Kaixuan Chen, Lina Yao, Dalin Zhang, Xianzhi Wang, Xiaojun Chang, Feiping Nie
A Semisupervised Recurrent Convolutional Attention Model for Human Activity Recognition. IEEE Trans. Neural Networks Learn. Syst. 31 (5) (2020)
Lei Bai, Lina Yao, Can Li, Xianzhi Wang, Can Wang
Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting. NeurIPS (2020)
Yuanjiang Cao, Xiaocong Chen, Lina Yao, Xianzhi Wang, Wei Emma Zhang
Adversarial Attacks and Detection on Reinforcement Learning-Based Interactive Recommender Systems. SIGIR (2020)
Zhe Liu, Xianzhi Wang, Lina Yao, Jake An, Lei Bai, Ee-Peng Lim
Face to Purchase: Predicting Consumer Choices with Structured Facial and Behavioral Traits Embedding. CoRR (2020)
Yang Xiao, Qingqi Pei, Lina Yao, Shui Yu, Lei Bai, Xianzhi Wang
An enhanced probabilistic fairness-aware group recommendation by incorporating social activeness. J. Netw. Comput. Appl. 156 (2020)
Yang Xiao, Lina Yao, Qingqi Pei, Xianzhi Wang, Jian Yang, Quan Z. Sheng
MGNN: Mutualistic Graph Neural Network for Joint Friend and Item Recommendation. IEEE Intell. Syst. 35 (5) (2020)
Licheng Zhang, Xianzhi Wang, Lina Yao, Feng Zheng
Zero-Shot Object Detection with Textual Descriptions Using Convolutional Neural Networks. IJCNN (2020)
Hamad Zogan, Xianzhi Wang, Shoaib Jameel, Guandong Xu
Depression Detection with Multi-Modalities Using a Hybrid Deep Learning Model on Social Media. CoRR (2020)

Xianzhi Wang.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Xianzhi Wang