Wei Zhang
Orcid: 0000-0002-0406-5974Affiliations:
- Macquarie University, Sydney, Australia
- University of Adelaide, School of Computer Science, Australia (former)
According to our database1,
Wei Zhang
authored at least 166 papers
between 2014 and 2024.
Collaborative distances:
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Bibliography
2024
Reconnecting the Estranged Relationships: Optimizing the Influence Propagation in Evolving Networks.
IEEE Trans. Knowl. Data Eng., May, 2024
Inf. Process. Manag., March, 2024
Remote. Sens., February, 2024
S$^{{\text{3}}}$Seg: A Three-Stage Unsupervised Foreground and Background Segmentation Network.
IEEE Signal Process. Lett., 2024
Object Detection in Remote Sensing Images With Parallel Feature Fusion and Cascade Global Attention Head.
IEEE Geosci. Remote. Sens. Lett., 2024
IEEE Geosci. Remote. Sens. Lett., 2024
CoRR, 2024
Boosting Certified Robustness for Time Series Classification with Efficient Self-Ensemble.
CoRR, 2024
CoRR, 2024
Rethinking Transformer-based Multi-document Summarization: An Empirical Investigation.
CoRR, 2024
CoRR, 2024
Distractor Generation for Multiple-Choice Questions: A Survey of Methods, Datasets, and Evaluation.
CoRR, 2024
Understanding the trustworthiness management in the social Internet of Things: A survey.
Comput. Networks, 2024
Learning Contrastive Representations for Dense Passage Retrieval in Open-Domain Conversational Question Answering.
Proceedings of the Web Information Systems Engineering - WISE 2024, 2024
Automatic, Meta and Human Evaluation for Multimodal Summarization with Multimodal Output.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024
Proceedings of the International Joint Conference on Neural Networks, 2024
Transforming Data Product Generation through Federated Learning: An Exploration of FL Applications in Data Ecosystems.
Proceedings of the IEEE International Conference on Web Services, 2024
Data-Product Catalogues: Envisioning with Knowledge-aware Natural Language Processing.
Proceedings of the IEEE International Conference on Web Services, 2024
Incremental Graph Computation: Anchored Vertex Tracking in Dynamic Social Networks (Extended Abstract).
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024
Distractor Generation in Multiple-Choice Tasks: A Survey of Methods, Datasets, and Evaluation.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 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
Not All Negatives are Equally Negative: Soft Contrastive Learning for Unsupervised Sentence Representations.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
Irregularity-Informed Time Series Analysis: Adaptive Modelling of Spatial and Temporal Dynamics.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
Devil in the Tail: A Multi-Modal Framework for Drug-Drug Interaction Prediction in Long Tail Distinction.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
Boosting Certificate Robustness for Time Series Classification with Efficient Self-Ensemble.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 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
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
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
ACM Comput. Surv., 2023
Incorporating Knowledge into Document Summarization: an Application of Prefix-Tuning on GPT-2.
CoRR, 2023
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023
Proceedings of the Web Information Systems Engineering - WISE 2023, 2023
Proceedings of the 21st ACM Conference on Embedded Networked Sensor Systems, 2023
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
Proceedings of the International Joint Conference on Neural Networks, 2023
Proceedings of the IEEE International Conference on Web Services, 2023
Proceedings of the IEEE International Conference on Knowledge Graph, 2023
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
IEEE Trans. Serv. Comput., 2022
Correction to: Towards employing native information in citation function classification.
Scientometrics, 2022
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
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
Understanding the Trustworthiness Management in the Social Internet of Things: A Survey.
CoRR, 2022
Computer, 2022
Detecting Textual Adversarial Examples Based on Distributional Characteristics of Data Representations.
Proceedings of the 7th Workshop on Representation Learning for NLP, 2022
Proceedings of the 36th Pacific Asia Conference on Language, Information and Computation, 2022
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
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
Attention-Guided Deep Neural Network With Multi-Scale Feature Fusion for Liver Vessel Segmentation.
IEEE J. Biomed. Health Informatics, 2021
IEEE Trans. Big Data, 2021
CoRR, 2021
CoRR, 2021
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
Proceedings of the 20th IEEE International Conference on Trust, 2021
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
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
Proceedings of the 2021 International Conference on Artificial Intelligence, 2021
Proceedings of the Next-Gen Digital Services. A Retrospective and Roadmap for Service Computing of the Future, 2021
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
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
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
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
Reducing delay penalty of multiple concurrent software projects based on overtime planning.
Proceedings of the 35th IEEE/ACM International Conference on Automated Software Engineering Workshops, 2020
Proceedings of the 19th ACM/IEEE International Conference on Information Processing in Sensor Networks, 2020
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
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
Proceedings of the Computer Vision - ECCV 2020, 2020
Proceedings of the 6th IEEE International Conference on Collaboration and Internet Computing, 2020
Linear Elements Separation via Vision System Feature and Seed Spreading from Topographic Maps.
Proceedings of the 16th International Conference on Computational Intelligence and Security, 2020
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
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
CoRR, 2019
Proceedings of the 18th IEEE International Conference On Trust, 2019
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
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
A Novel Throughput Based Temporal Violation Handling Strategy for Instance-Intensive Cloud Business Workflows.
Proceedings of the Data Science - 6th 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
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
World Wide Web, 2018
A Learning-Based Framework for Improving Querying on Web Interfaces of Curated Knowledge Bases.
ACM Trans. Internet Techn., 2018
ACM Trans. Internet Techn., 2018
Collaborative Location Recommendation by Integrating Multi-dimensional Contextual Information.
ACM Trans. Internet Techn., 2018
Decision Support for Project Rescheduling to Reduce Software Development Delays based on Ant Colony Optimization.
Int. J. Comput. Intell. Syst., 2018
CoRR, 2018
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
Proceedings of the Australasian Conference on Information Systems, 2018
Springer, ISBN: 978-3-319-94934-5, 2018
2017
Pers. Ubiquitous Comput., 2017
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
Proceedings of the Service-Oriented Computing - 15th International Conference, 2017
Proceedings of the 39th International Conference on Software Engineering, 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
Proceedings of the Advanced Data Mining and Applications - 13th International Conference, 2017
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
CoRR, 2016
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
Proceedings of the 31st Annual ACM Symposium on Applied Computing, 2016
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016
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
Proceedings of the Advanced Data Mining and Applications - 12th International Conference, 2016
2015
Proceedings of the 2015 International Conference on Software and System Process, 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
Proceedings of the 18th International Conference on Extending Database Technology, 2015
Proceedings of the Database Systems for Advanced Applications, 2015
2014
Proceedings of the Web Information Systems Engineering - WISE 2014, 2014
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