Wei Zhang

Orcid: 0000-0002-0406-5974

Affiliations:
  • Macquarie University, Sydney, Australia
  • University of Adelaide, School of Computer Science, Australia (former)


According to our database1, Wei Zhang authored at least 137 papers between 2014 and 2024.

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

Timeline

Legend:

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Article 
PhD thesis 
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Online presence:

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Bibliography

2024
Reconnecting the Estranged Relationships: Optimizing the Influence Propagation in Evolving Networks.
IEEE Trans. Knowl. Data Eng., May, 2024

LPST-Det: Local-Perception-Enhanced Swin Transformer for SAR Ship Detection.
Remote. Sens., February, 2024

Distractor Generation for Multiple-Choice Questions: A Survey of Methods, Datasets, and Evaluation.
CoRR, 2024

Trainable Hard Negative Examples in Contrastive Learning for Unsupervised Abstractive Summarization.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024

2023
AMGAN: An Attribute-Matched Generative Adversarial Network for UAV Virtual Sample Generation.
Neural Process. Lett., December, 2023

Death comes but why: A multi-task memory-fused prediction for accurate and explainable illness severity in ICUs.
World Wide Web (WWW), November, 2023

Incremental Graph Computation: Anchored Vertex Tracking in Dynamic Social Networks.
IEEE Trans. Knowl. Data Eng., July, 2023

Toward a Distributed Trust Management System for Misbehavior Detection in the Internet of Vehicles.
ACM Trans. Cyber Phys. Syst., July, 2023

Trust-SIoT: Toward Trustworthy Object Classification in the Social Internet of Things.
IEEE Trans. Netw. Serv. Manag., June, 2023

HeteGraph: graph learning in recommender systems via graph convolutional networks.
Neural Comput. Appl., June, 2023

CupMar: A deep learning model for personalized news recommendation based on contextual user-profile and multi-aspect article representation.
World Wide Web (WWW), March, 2023

IQSrec: An Efficient and Diversified Skyline Services Recommendation on Incomplete QoS.
IEEE Trans. Serv. Comput., 2023

Multi-document Summarization via Deep Learning Techniques: A Survey.
ACM Comput. Surv., 2023

When Large Language Models Meet Citation: A Survey.
CoRR, 2023

Incorporating Knowledge into Document Summarization: an Application of Prefix-Tuning on GPT-2.
CoRR, 2023

SimSumIoT: A Platform for Simulating the Summarisation from Internet of Things.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Learning to Select the Relevant History Turns in Conversational Question Answering.
Proceedings of the Web Information Systems Engineering - WISE 2023, 2023

Hybrid Data Augmentation for Citation Function Classification.
Proceedings of the International Joint Conference on Neural Networks, 2023

Keeping the Questions Conversational: Using Structured Representations to Resolve Dependency in Conversational Question Answering.
Proceedings of the International Joint Conference on Neural Networks, 2023

The Exploration of Knowledge-Preserving Prompts for Document Summarisation.
Proceedings of the International Joint Conference on Neural Networks, 2023

Data Product-Oriented Services for Data Ecosystem.
Proceedings of the IEEE International Conference on Web Services, 2023

SWAP: Exploiting Second-Ranked Logits for Adversarial Attacks on Time Series.
Proceedings of the IEEE International Conference on Knowledge Graph, 2023

A Capability Description Language Design for Data Products.
Proceedings of the Second ACM Data Economy Workshop, 2023

Oyster Mushroom Growth Stage Identification: An Exploration of Computer Vision Technologies.
Proceedings of the AI 2023: Advances in Artificial Intelligence, 2023

2022
Context-Aware and Adaptive QoS Prediction for Mobile Edge Computing Services.
IEEE Trans. Serv. Comput., 2022

Correction to: Towards employing native information in citation function classification.
Scientometrics, 2022

Towards employing native information in citation function classification.
Scientometrics, 2022

Object Detection in Remote Sensing Images With Balanced Rotational and Horizontal Bounding Boxes.
IEEE Geosci. Remote. Sens. Lett., 2022

Knowledge-aware document summarization: A survey of knowledge, embedding methods and architectures.
Knowl. Based Syst., 2022

Conversational question answering: a survey.
Knowl. Inf. Syst., 2022

Non-invasive Techniques for Monitoring Different Aspects of Sleep: A Comprehensive Review.
ACM Trans. Comput. Heal., 2022

Document-aware Positional Encoding and Linguistic-guided Encoding for Abstractive Multi-document Summarization.
CoRR, 2022

Reconnecting the Estranged Relationships: Optimizing the Influence Propagation in Evolving Networks.
CoRR, 2022

Trust-SIoT: Towards Trustworthy Object Classification in the Social Internet of Things.
CoRR, 2022

Embedding Knowledge for Document Summarization: A Survey.
CoRR, 2022

A Survey on Location-Driven Influence Maximization.
CoRR, 2022

Understanding the Trustworthiness Management in the Social Internet of Things: A Survey.
CoRR, 2022

Trust on wheels: Towards secure and resource efficient IoV networks.
Computing, 2022

Deep Conversational Recommender Systems: Challenges and Opportunities.
Computer, 2022

Detecting Textual Adversarial Examples Based on Distributional Characteristics of Data Representations.
Proceedings of the 7th Workshop on Representation Learning for NLP, 2022

Incorporating Linguistic Knowledge for Abstractive Multi-document Summarization.
Proceedings of the 36th Pacific Asia Conference on Language, Information and Computation, 2022

An Empirical Study on Topic Preservation in Multi-Document Summarization.
Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, 2022

Learning From the Source Document: Unsupervised Abstractive Summarization.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

2021
Semi-supervised Intrusive Appliance Load Monitoring in Smart Energy Monitoring System.
ACM Trans. Sens. Networks, 2021

A User-Oriented Taxi Ridesharing System with Large-Scale Urban GPS Sensor Data.
IEEE Trans. Big Data, 2021

A Review of the Non-Invasive Techniques for Monitoring Different Aspects of Sleep.
CoRR, 2021

A Short Survey of Pre-trained Language Models for Conversational AI-A NewAge in NLP.
CoRR, 2021

TDM-CFC: Towards Document-Level Multi-label Citation Function Classification.
Proceedings of the Web Information Systems Engineering - WISE 2021, 2021

Deep News Recommendation with Contextual User Profiling and Multifaceted Article Representation.
Proceedings of the Web Information Systems Engineering - WISE 2021, 2021

Towards a Deep Learning-Driven Service Discovery Framework for the Social Internet of Things: A Context-Aware Approach.
Proceedings of the Web Information Systems Engineering - WISE 2021, 2021

BERTDeep-Ware: A Cross-architecture Malware Detection Solution for IoT Systems.
Proceedings of the 20th IEEE International Conference on Trust, 2021

A Web-based Knowledge Hub for Exploration of Multiple Research Article Collections.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

A Unified Framework for Improving Misclassifications in Modern Deep Neural Networks for Sentiment Analysis.
Proceedings of the International Joint Conference on Neural Networks, 2021

Do You Brush Your Teeth Properly? An Off-body Sensor-based Approach for Toothbrushing Monitoring.
Proceedings of the IEEE International Conference on Digital Health, 2021

Constructing COVID-19 Knowledge Graph from A Large Corpus of Scientific Articles.
Proceedings of the 2021 IEEE International Conference on Big Knowledge, 2021

When Trust Meets the Internet of Vehicles: Opportunities, Challenges, and Future Prospects.
Proceedings of the 7th IEEE International Conference on Collaboration and Internet Computing, 2021

Interpretable Analysis of NARX Neural Network Prediction MPA-AUC.
Proceedings of the 2021 International Conference on Artificial Intelligence, 2021

Designing and Building Context-Aware Services: The ContextServ Project.
Proceedings of the Next-Gen Digital Services. A Retrospective and Roadmap for Service Computing of the Future, 2021

A Fast and Accurate Approach for Inferencing Social Relationships Among IoT Objects.
Proceedings of the Advanced Data Mining and Applications - 17th International Conference, 2021

2020
Dataset: Toothbrushing Data and Analysis of its Potential Use in Human Activity Recognition Applications.
Dataset, October, 2020

Adversarial Attacks on Deep-learning Models in Natural Language Processing: A Survey.
ACM Trans. Intell. Syst. Technol., 2020

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

A review and categorization of techniques on device-free human activity recognition.
J. Netw. Comput. Appl., 2020

Deep Conversational Recommender Systems: A New Frontier for Goal-Oriented Dialogue Systems.
CoRR, 2020

Realizing an Internet of Secure Things: A Survey on Issues and Enabling Technologies.
IEEE Commun. Surv. Tutorials, 2020

A system for effectively predicting flight delays based on IoT data.
Computing, 2020

A Hybrid Approach for Intrusive Appliance Load Monitoring in Smart Home.
Proceedings of the 2020 IEEE International Conference on Smart Internet of Things, 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

Toothbrushing data and analysis of its potential use in human activity recognition applications: dataset.
Proceedings of the DATA@SenSys 2020: Proceedings of the Third Workshop on Data: Acquisition To Analysis, 2020

BERT-CoQAC: BERT-Based Conversational Question Answering in Context.
Proceedings of the Parallel Architectures, Algorithms and Programming, 2020

A Behavioural Network Traffic Novelty Detection for the Internet of Things Infrastructures.
Proceedings of the Parallel Architectures, Algorithms and Programming, 2020

Towards a Machine Learning-driven Trust Evaluation Model for Social Internet of Things: A Time-aware Approach.
Proceedings of the MobiQuitous '20: Computing, 2020

Demo Abstract: An Internet of Plants System for Micro Gardens.
Proceedings of the 19th ACM/IEEE International Conference on Information Processing in Sensor Networks, 2020

HeteGraph: A Convolutional Framework for Graph Learning in Recommender Systems.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Are Modern Deep Learning Models for Sentiment Analysis Brittleƒ An Examination on Part-of-Speech.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Analyzing the Sensitivity of Deep Neural Networks for Sentiment Analysis: A Scoring Approach.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Aspect Extraction Using Coreference Resolution and Unsupervised Filtering.
Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing: Student Research Workshop, 2020

Trust Computational Heuristic for Social Internet of Things: A Machine Learning-based Approach.
Proceedings of the 2020 IEEE International Conference on Communications, 2020

Semantic Equivalent Adversarial Data Augmentation for Visual Question Answering.
Proceedings of the Computer Vision - ECCV 2020, 2020

The 10 Research Topics in the Internet of Things.
Proceedings of the 6th IEEE International Conference on Collaboration and Internet Computing, 2020

Helibot - A Smart Distributed Energy Resources Platform for Futuristic Smart Grids.
Proceedings of the 20th IEEE/ACM International Symposium on Cluster, 2020

SIoTPredict: A Framework for Predicting Relationships in the Social Internet of Things.
Proceedings of the Advanced Information Systems Engineering, 2020

A Short Survey of Pre-trained Language Models for Conversational AI-A New Age in NLP.
Proceedings of the Australasian Computer Science Week, 2020

2019
Need of Ambient Intelligence for Next-Generation Connected and Autonomous Vehicles.
Proceedings of the Guide to Ambient Intelligence in the IoT Environment, 2019

Software-Defined Heterogeneous Vehicular Networking: The Architectural Design and Open Challenges.
Future Internet, 2019

Different Approaches for Human Activity Recognition: A Survey.
CoRR, 2019

Generating Textual Adversarial Examples for Deep Learning Models: A Survey.
CoRR, 2019

Internet of things search engine.
Commun. ACM, 2019

IoT Device Identification via Network-Flow Based Fingerprinting and Learning.
Proceedings of the 18th IEEE International Conference On Trust, 2019

A Hybrid Trust Management Heuristic for VANETs.
Proceedings of the IEEE International Conference on Pervasive Computing and Communications Workshops, 2019

A Hybrid Trust Management Model for Secure and Resource Efficient Vehicular Ad hoc Networks.
Proceedings of the 20th International Conference on Parallel and Distributed Computing, 2019

A cost-effective and non-invasive system for sleep and vital signs monitoring using passive RFID tags.
Proceedings of the MobiQuitous 2019, 2019

Poster: A Machine Learning based Hybrid Trust Management Heuristic for Vehicular Ad hoc Networks.
Proceedings of the 25th Annual International Conference on Mobile Computing and Networking, 2019

Demo Abstract: An End-to-End Real-Time Efficient System for Smart Energy Monitoring.
Proceedings of the IEEE INFOCOM 2019, 2019

Bottom-Up Teaching Reformation for the Undergraduate Course of Computer Organization and Architecture.
Proceedings of the Data Science, 2019

Machine Learning Based Trust Model for Misbehaviour Detection in Internet-of-Vehicles.
Proceedings of the Neural Information Processing - 26th International Conference, 2019

Overcoming the Bottlenecks in Next-Generation Heterogeneous Vehicular Networks: Is SDN the Optimal Solution?
Proceedings of the Australasian Computer Science Week Multiconference, 2019

Context-Aware Multi-QoS Prediction for Services in Mobile Edge Computing.
Proceedings of the 2019 IEEE International Conference on Services Computing, 2019

Trust ManagementTrust Management for Software-Defined Heterogeneous Vehicular Ad Hoc NetworksVehicular Ad hoc Networks.
Proceedings of the Security, Privacy and Trust in the IoT Environment, 2019

2018
Learning-based SPARQL query performance modeling and prediction.
World Wide Web, 2018

A Learning-Based Framework for Improving Querying on Web Interfaces of Curated Knowledge Bases.
ACM Trans. Internet Techn., 2018

Duplicate Detection in Programming Question Answering Communities.
ACM Trans. Internet Techn., 2018

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

Internet of Things Search Engine: Concepts, Classification, and Open Issues.
CoRR, 2018

ContextServ: Towards Model-Driven Development of Context-AwareWeb Services.
CoRR, 2018

A Cache-based Optimizer for Querying Enhanced Knowledge Bases.
CoRR, 2018

Identifying Price Index Classes for Electricity Consumers via Dynamic Gradient Boosting.
Proceedings of the Web Information Systems Engineering - WISE 2018, 2018

Related or Duplicate: Distinguishing Similar CQA Questions via Convolutional Neural Networks.
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

Deep Autoencoder for Recommender Systems: Parameter Influence Analysis.
Proceedings of the Australasian Conference on Information Systems, 2018

Managing Data From Knowledge Bases: Querying and Extraction
Springer, ISBN: 978-3-319-94934-5, 2018

2017
Practices and applications in ambient and intelligent information systems.
Pers. Ubiquitous Comput., 2017

Searching for the internet of things: where it is and what it looks like.
Pers. Ubiquitous Comput., 2017

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

Detecting Duplicate Posts in Programming QA Communities via Latent Semantics and Association Rules.
Proceedings of the 26th International Conference on World Wide Web, 2017

A Tree-Based Reliability Analysis for Fault-Tolerant Web Services Composition.
Proceedings of the Service-Oriented Computing - 15th International Conference, 2017

Recovering Missing Values from Corrupted Spatio-Temporal Sensory Data via Robust Low-Rank Tensor Completion.
Proceedings of the Database Systems for Advanced Applications, 2017

Identifying Domains and Concepts in Short Texts via Partial Taxonomy and Unlabeled Data.
Proceedings of the Advanced Information Systems Engineering, 2017

Feature Analysis for Duplicate Detection in Programming QA Communities.
Proceedings of the Advanced Data Mining and Applications - 13th International Conference, 2017

Mining Load Profile Patterns for Australian Electricity Consumers.
Proceedings of the Advanced Data Mining and Applications - 13th International Conference, 2017

Searching the Big Data: Practices and Experiences in Efficiently Querying Knowledge Bases.
Proceedings of the Handbook of Big Data Technologies, 2017

2016
PIGMIL: Positive Instance Detection via Graph Updating for Multiple Instance Learning.
CoRR, 2016

Searching for the Internet of Things on the Web: Where It Is and What It Looks Like.
CoRR, 2016

Learning-Based SPARQL Query Performance Prediction.
Proceedings of the Web Information Systems Engineering - WISE 2016, 2016

Towards Building Open Knowledge Base From Programming Question-Answering Communities.
Proceedings of the ISWC 2016 Posters & Demonstrations Track co-located with 15th International Semantic Web Conference (ISWC 2016), 2016

SECF: improving SPARQL querying performance with proactive fetching and caching.
Proceedings of the 31st Annual ACM Symposium on Applied Computing, 2016

Efficient Orthogonal Non-negative Matrix Factorization over Stiefel Manifold.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

When Sensor Meets Tensor: Filling Missing Sensor Values Through a Tensor Approach.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Forecasting Seasonal Time Series Using Weighted Gradient RBF Network based Autoregressive Model.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Identification as a Service: Large-Scale Cloud Service Discovery over the World Wide Web.
Proceedings of the 2016 IEEE International Congress on Big Data, San Francisco, CA, USA, June 27, 2016

Mining Source Code Topics Through Topic Model and Words Embedding.
Proceedings of the Advanced Data Mining and Applications - 12th International Conference, 2016

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

Efficient Algorithms for Scheduling XML Data in a Mobile Wireless Broadcast Environment.
Proceedings of the 21st IEEE International Conference on Parallel and Distributed Systems, 2015

SIEF: Efficiently Answering Distance Queries for Failure Prone Graphs.
Proceedings of the 18th International Conference on Extending Database Technology, 2015

Identifying and Caching Hot Triples for Efficient RDF Query Processing.
Proceedings of the Database Systems for Advanced Applications, 2015

2014
A Decremental Search Approach for Large Scale Dynamic Ridesharing.
Proceedings of the Web Information Systems Engineering - WISE 2014, 2014

Graph-based large scale RDF data compression.
Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2014

Indexing Linked Data in a Wireless Broadcast System with 3D Hilbert Space-Filling Curves.
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014


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