Xianzhi Wang

Orcid: 0000-0001-9582-3445

Affiliations:
  • University of Technology Sydney, Australia


According to our database1, Xianzhi Wang authored at least 180 papers between 2010 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Attention-Aware Social Graph Transformer Networks for Stochastic Trajectory Prediction.
IEEE Trans. Knowl. Data Eng., November, 2024

Special Issue on Responsible Recommender Systems Part 1.
ACM Trans. Intell. Syst. Technol., August, 2024

CStrCRL: Cross-View Contrastive Learning Through Gated GCN With Strong Augmentations for Skeleton Recognition.
IEEE Trans. Circuits Syst. Video Technol., August, 2024

Natural language interactions enhanced by data visualization to explore insurance claims and manage risk.
Ann. Oper. Res., August, 2024

Multi-view GCN for loan default risk prediction.
Neural Comput. Appl., July, 2024

BehaviorNet: A Fine-grained Behavior-aware Network for Dynamic Link Prediction.
ACM Trans. Web, May, 2024

Generalizing truth discovery by incorporating multi-truth features.
Computing, May, 2024

Strategies for evaluating visual analytics systems: A systematic review and new perspectives.
Inf. Vis., January, 2024

Dyformer: A dynamic transformer-based architecture for multivariate time series classification.
Inf. Sci., January, 2024

Exploring explicit and implicit graph learning for multivariate time series imputation.
Eng. Appl. Artif. Intell., January, 2024

Graph and Sequential Neural Networks in Session-based Recommendation: A Survey.
CoRR, 2024

A Temporally Disentangled Contrastive Diffusion Model for Spatiotemporal Imputation.
CoRR, 2024

API Recommendation For Mashup Creation: A Comprehensive Survey.
Comput. J., 2024

A topic-controllable keywords-to-text generator with knowledge base network.
CAAI Trans. Intell. Technol., 2024

KG-CoT: Chain-of-Thought Prompting of Large Language Models over Knowledge Graphs for Knowledge-Aware Question Answering.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

MVis4LD: Multimodal Visual Interactive System for Lie Detection.
Proceedings of the Intelligent Information and Database Systems - 16th Asian Conference, 2024

2023
AIoT for sustainable manufacturing: Overview, challenges, and opportunities.
Internet Things, December, 2023

Uncertainty Estimation With Neural Processes for Meta-Continual Learning.
IEEE Trans. Neural Networks Learn. Syst., October, 2023

Generative Adversarial Reward Learning for Generalized Behavior Tendency Inference.
IEEE Trans. Knowl. Data Eng., October, 2023

Graph-Aware Deep Fusion Networks for Online Spam Review Detection.
IEEE Trans. Comput. Soc. Syst., October, 2023

A novel uncertainty-aware deep learning technique with an application on skin cancer diagnosis.
Neural Comput. Appl., October, 2023

Adversarial dual autoencoders for trust-aware recommendation.
Neural Comput. Appl., June, 2023

Attentional Gated Res2Net for Multivariate Time Series Classification.
Neural Process. Lett., April, 2023

Deep reinforcement learning in recommender systems: A survey and new perspectives.
Knowl. Based Syst., March, 2023

Multi-center federated learning: clients clustering for better personalization.
World Wide Web (WWW), January, 2023

A Graph Neural Network and Pointer Network-Based Approach for QoS-Aware Service Composition.
IEEE Trans. Serv. Comput., 2023

Gradient Boosted Neural Decision Forest.
IEEE Trans. Serv. Comput., 2023

GATGPT: A Pre-trained Large Language Model with Graph Attention Network for Spatiotemporal Imputation.
CoRR, 2023

Modeling Temporal Positive and Negative Excitation for Sequential Recommendation.
Proceedings of the ACM Web Conference 2023, 2023

Exploiting Explicit and Implicit Item relationships for Session-based Recommendation.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Simplifying Graph-based Collaborative Filtering for Recommendation.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Dual Contrastive Transformer for Hierarchical Preference Modeling in Sequential Recommendation.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

RASNet: A Reinforcement Assistant Network for Frame Selection in Video-based Posture Recognition.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

SOAC: Supervised Off-Policy Actor-Critic for Recommender Systems.
Proceedings of the IEEE International Conference on Data Mining, 2023

RETIA: Relation-Entity Twin-Interact Aggregation for Temporal Knowledge Graph Extrapolation.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

From Time Series to Multi-modality: Classifying Multivariate Time Series via Both 1D and 2D Representations.
Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023

Exploring the Effectiveness of Positional Embedding on Transformer-Based Architectures for Multivariate Time Series Classification.
Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023

MTSTI: A Multi-task Learning Framework for Spatiotemporal Imputation.
Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023

2022
Online Spam Review Detection: A Survey of Literature.
Hum. Centric Intell. Syst., June, 2022

Explainable depression detection with multi-aspect features using a hybrid deep learning model on social media.
World Wide Web, 2022

Agglomerative Neural Networks for Multiview Clustering.
IEEE Trans. Neural Networks Learn. Syst., 2022

An Entropy-Guided Reinforced Partial Convolutional Network for Zero-Shot Learning.
IEEE Trans. Circuits Syst. Video Technol., 2022

Generative adversarial U-Net for domain-free few-shot medical diagnosis.
Pattern Recognit. Lett., 2022

Face to purchase: Predicting consumer choices with structured facial and behavioral traits embedding.
Knowl. Based Syst., 2022

A survey for trust-aware recommender systems: A deep learning perspective.
Knowl. Based Syst., 2022

Intent-Aware Interactive Internet of Things for Enhanced Collaborative Ambient Intelligence.
IEEE Internet Comput., 2022

Adversarial Robustness of Deep Reinforcement Learning Based Dynamic Recommender Systems.
Frontiers Big Data, 2022

A Survey on Recommender Systems for Internet of Things: Techniques, Applications and Future Directions.
Comput. J., 2022

Mitigating Multi-class Unintended Demographic Bias in Text Classification with Adversarial Learning.
Proceedings of the Web Information Systems Engineering - WISE 2022, 2022

Graph Neural Network with Self-attention and Multi-task Learning for Credit Default Risk Prediction.
Proceedings of the Web Information Systems Engineering - WISE 2022, 2022

Hierarchical Task-aware Multi-Head Attention Network.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Locality-Sensitive State-Guided Experience Replay Optimization for Sparse Rewards in Online Recommendation.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Resolving Conflicts among Unbalanced Multi-Source Data When Multi-Value Objects Exist.
Proceedings of the IEEE INFOCOM 2022, 2022

Adaptive Graph Recurrent Network for Multivariate Time Series Imputation.
Proceedings of the Neural Information Processing - 29th International Conference, 2022

Temporal Knowledge Graph Reasoning via Time-Distributed Representation Learning.
Proceedings of the IEEE International Conference on Data Mining, 2022

minIL: A Simple and Small Index for String Similarity Search with Edit Distance.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Social Graph Transformer Networks for Pedestrian Trajectory Prediction in Complex Social Scenarios.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Multi-agent Transformer Networks for Multimodal Human Activity Recognition.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

An Explanation Module for Deep Neural Networks Facing Multivariate Time Series Classification.
Proceedings of the AI 2021: Advances in Artificial Intelligence, 2022

Deep Reinforcement Learning for Dynamic Things of Interest Recommendation in Intelligent Ambient Environment.
Proceedings of the AI 2021: Advances in Artificial Intelligence, 2022

Blockchain-based solutions for Humanitarian supply Chain Management.
Proceedings of the 28th Americas Conference on Information Systems, 2022

Harnessing Confidence for Report Aggregation in Crowdsourcing Environments.
Proceedings of the IEEE International Conference on Services Computing, 2022

Caching Hierarchical Skylines for Efficient Service Composition on Service Graphs.
Proceedings of the IEEE International Conference on Services Computing, 2022

2021
Mashup Recommendation by Regularizing Matrix Factorization with API Co-Invocations.
IEEE Trans. Serv. Comput., 2021

Context-Induced Activity Monitoring for On-Demand Things-of-Interest Recommendation in an Ambient Intelligent Environment.
Future Internet, 2021

Deep spatial-temporal sequence modeling for multi-step passenger demand prediction.
Future Gener. Comput. Syst., 2021

Locality-Sensitive Experience Replay for Online Recommendation.
CoRR, 2021

A Survey of Deep Reinforcement Learning in Recommender Systems: A Systematic Review and Future Directions.
CoRR, 2021

Generative Adversarial Reward Learning for Generalized Behavior Tendency Inference.
CoRR, 2021

Attribute-Modulated Generative Meta Learning for Zero-Shot Classification.
CoRR, 2021

NP-PROV: Neural Processes with Position-Relevant-Only Variances.
Proceedings of the Web Information Systems Engineering - WISE 2021, 2021

UCBVis: Understanding Customer Behavior Sequences with Visual Interactive System.
Proceedings of the International Joint Conference on Neural Networks, 2021

MetaGB: A Gradient Boosting Framework for Efficient Task Adaptive Meta Learning.
Proceedings of the IEEE International Conference on Data Mining, 2021

Global Convolutional Neural Processes.
Proceedings of the IEEE International Conference on Data Mining, 2021

Generative Inverse Deep Reinforcement Learning for Online Recommendation.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

A Review of Recent Trends and Industry Prospects for Artificial Intelligence Technologies.
Proceedings of the 8th International Conference on Behavioral and Social Computing, 2021

ExVis: Explainable Visual Decision Support System for Risk Management.
Proceedings of the 8th International Conference on Behavioral and Social Computing, 2021

Deep Multi-view Spatio-Temporal Network for Urban Crime Prediction.
Proceedings of the Databases Theory and Applications, 2021

Contextual Bandit Learning for Activity-Aware Things-of-Interest Recommendation in an Assisted Living Environment.
Proceedings of the Databases Theory and Applications, 2021

Task Aligned Generative Meta-learning for Zero-shot Learning.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
A Semisupervised Recurrent Convolutional Attention Model for Human Activity Recognition.
IEEE Trans. Neural Networks Learn. Syst., 2020

From Appearance to Essence: Comparing Truth Discovery Methods without Using Ground Truth.
ACM Trans. Intell. Syst. Technol., 2020

Deep learning for misinformation detection on online social networks: a survey and new perspectives.
Soc. Netw. Anal. Min., 2020

Rating prediction via generative convolutional neural networks based regression.
Pattern Recognit. Lett., 2020

Software expert discovery via knowledge domain embeddings in a collaborative network.
Pattern Recognit. Lett., 2020

Opinion fraud detection via neural autoencoder decision forest.
Pattern Recognit. Lett., 2020

A unified framework for data integrity protection in people-centric smart cities.
Multim. Tools Appl., 2020

An enhanced probabilistic fairness-aware group recommendation by incorporating social activeness.
J. Netw. Comput. Appl., 2020

Adversarial Multi-view Networks for Activity Recognition.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2020

MGNN: Mutualistic Graph Neural Network for Joint Friend and Item Recommendation.
IEEE Intell. Syst., 2020

RecRisk: An enhanced recommendation model with multi-facet risk control.
Expert Syst. Appl., 2020

Face to Purchase: Predicting Consumer Choices with Structured Facial and Behavioral Traits Embedding.
CoRR, 2020

Recommender Systems for the Internet of Things: A Survey.
CoRR, 2020

Depression Detection with Multi-Modalities Using a Hybrid Deep Learning Model on Social Media.
CoRR, 2020

NP-PROV: Neural Processes with Position-Relevant-Only Variances.
CoRR, 2020

Causality Learning: A New Perspective for Interpretable Machine Learning.
CoRR, 2020

Agglomerative Neural Networks for Multi-view Clustering.
CoRR, 2020

Multi-Center Federated Learning.
CoRR, 2020

Trust in Recommender Systems: A Deep Learning Perspective.
CoRR, 2020

Adversarial Attacks and Detection on Reinforcement Learning-Based Interactive Recommender Systems.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Prototype Similarity Learning for Activity Recognition.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020

Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Spectrum-Guided Adversarial Disparity Learning.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Zero-Shot Object Detection with Textual Descriptions Using Convolutional Neural Networks.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Are You A Risk Taker? Adversarial Learning of Asymmetric Cross-Domain Alignment for Risk Tolerance Prediction.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Knowledge-guided Deep Reinforcement Learning for Interactive Recommendation.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Zero-Shot Object Detection via Learning an Embedding from Semantic Space to Visual Space.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

MHIVis: Visual Analytics for Exploring Mental Illness of Policyholders in Life Insurance Industry.
Proceedings of the 7th International Conference on Behavioural and Social Computing, 2020

2019
SmartVote: a full-fledged graph-based model for multi-valued truth discovery.
World Wide Web, 2019

Novel Artificial Bee Colony Algorithms for QoS-Aware Service Selection.
IEEE Trans. Serv. Comput., 2019

Trust architecture and reputation evaluation for internet of things.
J. Ambient Intell. Humaniz. Comput., 2019

Recommendations on the Internet of Things: Requirements, Challenges, and Directions.
IEEE Internet Comput., 2019

Towards Privacy-Preserving Location Sharing over Mobile Online Social Networks.
IEICE Trans. Inf. Syst., 2019

A Survey on Deep Learning based Brain Computer Interface: Recent Advances and New Frontiers.
CoRR, 2019

Lightweight Anonymous Geometric Routing for Internet of Things.
IEEE Access, 2019

Similarity-Aware Deep Attentive Model for Clickbait Detection.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

Passenger Demand Forecasting with Multi-Task Convolutional Recurrent Neural Networks.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

Dual-stream Self-Attentive Random Forest for False Information Detection.
Proceedings of the International Joint Conference on Neural Networks, 2019

STG2Seq: Spatial-Temporal Graph to Sequence Model for Multi-step Passenger Demand Forecasting.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Know Your Mind: Adaptive Cognitive Activity Recognition with Reinforced CNN.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Spatio-Temporal Graph Convolutional and Recurrent Networks for Citywide Passenger Demand Prediction.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Expert2Vec: Distributed Expert Representation Learning in Question Answering Community.
Proceedings of the Advanced Data Mining and Applications - 15th International Conference, 2019

Reminder Care System: An Activity-Aware Cross-Device Recommendation System.
Proceedings of the Advanced Data Mining and Applications - 15th International Conference, 2019

Zero-Shot Object Detection with Textual Descriptions.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Collaborative text categorization via exploiting sparse coefficients.
World Wide Web, 2018

Collaborative Location Recommendation by Integrating Multi-dimensional Contextual Information.
ACM Trans. Internet Techn., 2018

Compressive Representation for Device-Free Activity Recognition with Passive RFID Signal Strength.
IEEE Trans. Mob. Comput., 2018

Collaborative Fall Detection Using Smart Phone and Kinect.
Mob. Networks Appl., 2018

A Survey on Expert Recommendation in Community Question Answering.
J. Comput. Sci. Technol., 2018

GrCAN: Gradient Boost Convolutional Autoencoder with Neural Decision Forest.
CoRR, 2018

Know Your Mind: Adaptive Brain Signal Classification with Reinforced Attentive Convolutional Neural Networks.
CoRR, 2018

WITS: an IoT-endowed computational framework for activity recognition in personalized smart homes.
Computing, 2018

A new paradigm of software service engineering in big data and big service era.
Computing, 2018

Data-Augmented Regression with Generative Convolutional Network.
Proceedings of the Web Information Systems Engineering - WISE 2018, 2018

DUAL: A Deep Unified Attention Model with Latent Relation Representations for Fake News Detection.
Proceedings of the Web Information Systems Engineering - WISE 2018, 2018

Predicting Citywide Passenger Demand via Reinforcement Learning from Spatio-Temporal Dynamics.
Proceedings of the 15th EAI International Conference on Mobile and Ubiquitous Systems: Computing, 2018

Automatic Device Classification from Network Traffic Streams of Internet of Things.
Proceedings of the 43rd IEEE Conference on Local Computer Networks, 2018

Interpretable Parallel Recurrent Neural Networks with Convolutional Attentions for Multi-Modality Activity Modeling.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Expert Recommendation via Tensor Factorization with Regularizing Hierarchical Topical Relationships.
Proceedings of the Service-Oriented Computing - 16th International Conference, 2018

2017
S-ABC: A paradigm of service domain-oriented artificial bee colony algorithms for service selection and composition.
Future Gener. Comput. Syst., 2017

Fullie and Wiselie: A Dual-Stream Recurrent Convolutional Attention Model for Activity Recognition.
CoRR, 2017

From Appearance to Essence: Comparing Truth Discovery Methods without Using Ground Truth.
CoRR, 2017

SmartMTD: A Graph-Based Approach for Effective Multi-Truth Discovery.
CoRR, 2017

Enhancing Mind Controlled Smart Living Through Recurrent Neural Networks.
CoRR, 2017

DeepKey: An EEG and Gait Based Dual-Authentication System.
CoRR, 2017

Value Veracity Estimation for Multi-Truth Objects via a Graph-Based Approach.
Proceedings of the 26th International Conference on World Wide Web Companion, 2017

Multi-Person Brain Activity Recognition via Comprehensive EEG Signal Analysis.
Proceedings of the 14th EAI International Conference on Mobile and Ubiquitous Systems: Computing, 2017

Privacy Protection for Location Sharing Services in Social Networks.
Proceedings of the Machine Learning and Intelligent Communications, 2017

Reputation-Based Framework for Internet of Things.
Proceedings of the Machine Learning and Intelligent Communications, 2017

Multi-Level Privacy-Preserving Access Control as a Service for Personal Healthcare Monitoring.
Proceedings of the 2017 IEEE International Conference on Web Services, 2017

Expert as a Service: Software Expert Recommendation via Knowledge Domain Embeddings in Stack Overflow.
Proceedings of the 2017 IEEE International Conference on Web Services, 2017

Intent Recognition in Smart Living Through Deep Recurrent Neural Networks.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

SourceVote: Fusing Multi-valued Data via Inter-source Agreements.
Proceedings of the Conceptual Modeling - 36th International Conference, 2017

Calling for Response: Automatically Distinguishing Situation-Aware Tweets During Crises.
Proceedings of the Advanced Data Mining and Applications - 13th International Conference, 2017

Building Entity Graphs for the Web of Things Management.
Proceedings of the Managing the Web of Things: Linking the Real World to the Web, 2017

2016
A New Paradigm of Software Service Engineering in the Era of Big Data and Big Service.
CoRR, 2016

Elimination of zero sequence circulating current between parallel operating three-level inverters.
Proceedings of the IECON 2016, 2016

PLMwsp: Probabilistic Latent Model for Web Service QoS Prediction.
Proceedings of the IEEE International Conference on Web Services, 2016

Context as a Service: Realizing Internet of Things-Aware Processes for the Independent Living of the Elderly.
Proceedings of the Service-Oriented Computing - 14th International Conference, 2016

Empowering Truth Discovery with Multi-Truth Prediction.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Truth Discovery via Exploiting Implications from Multi-Source Data.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

An Ensemble Approach for Better Truth Discovery.
Proceedings of the Advanced Data Mining and Applications - 12th International Conference, 2016

2015
Up in the Air: When Homes Meet the Web of Things.
CoRR, 2015

Context-aware Point-of-Interest Recommendation Using Tensor Factorization with Social Regularization.
Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2015

Service Recommendation for Mashup Composition with Implicit Correlation Regularization.
Proceedings of the 2015 IEEE International Conference on Web Services, 2015

A Framework Towards Model Driven Business Process Compliance and Monitoring.
Proceedings of the 19th IEEE International Enterprise Distributed Object Computing Workshop, 2015

An Integrated Bayesian Approach for Effective Multi-Truth Discovery.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

Approximate Truth Discovery via Problem Scale Reduction.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

Ontology Augmentation via Attribute Extraction from Multiple Types of Sources.
Proceedings of the Databases Theory and Applications, 2015

2013
Mass Customization Oriented and Cost-Effective Service Network.
Proceedings of the Enterprise Interoperability - 5th International IFIP Working Conference, 2013

An Improved Artificial Bee Colony Approach to QoS-Aware Service Selection.
Proceedings of the 2013 IEEE 20th International Conference on Web Services, Santa Clara, CA, USA, June 28, 2013

A Novel Service Composition Approach for Application Migration to Cloud.
Proceedings of the Service-Oriented Computing - 11th International Conference, 2013

2012
Effective Service Composition in Large Scale Service Market: An Empirical Evidence Enhanced Approach.
Int. J. Web Serv. Res., 2012

Analytic Profit Optimization of Service-Based Systems.
Proceedings of the 2012 IEEE 19th International Conference on Web Services, 2012

2011
Semi-empirical Service Composition: A Clustering Based Approach.
Proceedings of the IEEE International Conference on Web Services, 2011

Price Heuristics for Highly Efficient Profit Optimization of Service Composition.
Proceedings of the IEEE International Conference on Services Computing, 2011

2010
A Service Composition Approach for the Fulfillment of Temporally Sequential Requirements.
Proceedings of the 6th World Congress on Services, 2010

A Generalized Service Resource Management Framework.
Proceedings of the International Conference on Service Sciences, 2010

Life Cycle of Virtualized Service Resource in BIRIS Environment.
Proceedings of the Exploring Services Science - First International Conference, 2010

The Bundling of Multiple Requirements for Maximizing the Utilization of Service Resources.
Proceedings of the IEEE 7th International Conference on e-Business Engineering, 2010


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