Weiqi Wang

Orcid: 0000-0002-7905-3126

Affiliations:
  • University of Technology Sydney, NSW, Australia


According to our database1, Weiqi Wang authored at least 31 papers between 2018 and 2025.

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

Timeline

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Bibliography

2025
Model-Enabled Task-Oriented Semantic Communications Through Knowledge Synchronization.
IEEE Trans. Cogn. Commun. Netw., October, 2025

ROSE: A Receiver-Oriented Semantic Communication Framework.
IEEE Netw., March, 2025

Evaluation of Machine Unlearning Through Model Difference.
IEEE Trans. Inf. Forensics Secur., 2025

SCU: An Efficient Machine Unlearning Scheme for Deep Learning Enabled Semantic Communications.
IEEE Trans. Inf. Forensics Secur., 2025

FedU: Federated Unlearning via User-Side Influence Approximation Forgetting.
IEEE Trans. Dependable Secur. Comput., 2025

CRFU: Compressive Representation Forgetting Against Privacy Leakage on Machine Unlearning.
IEEE Trans. Dependable Secur. Comput., 2025

Backdoored Sample Cleansing for Unlabeled Datasets via Bootstrapped Dual Set Purification.
IEEE Trans. Dependable Secur. Comput., 2025

TAPE: Tailored Posterior Difference for Auditing of Machine Unlearning.
Proceedings of the ACM on Web Conference 2025, 2025

Can Self Supervision Rejuvenate Similarity-Based Link Prediction?
Proceedings of the Data Science: Foundations and Applications, 2025

IDIR: Interpolated Diffusion Image Reconstruction for Generalizable Detection of Synthetic Images.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2025

2024
Semantic Communications Toward Graph Data.
IEEE Wirel. Commun., December, 2024

Forgetting and Remembering Are Both You Need: Balanced Graph Structure Unlearning.
IEEE Trans. Inf. Forensics Secur., 2024

Machine Unlearning via Representation Forgetting With Parameter Self-Sharing.
IEEE Trans. Inf. Forensics Secur., 2024

Machine Unlearning: A Comprehensive Survey.
CoRR, 2024

VPRQ: Verifiable and privacy-preserving range query over encrypted cloud data.
Comput. Electr. Eng., 2024

A Low-cost Black-box Jailbreak Based on Custom Mapping Dictionary with Multi-round Induction.
Proceedings of the 23rd IEEE International Conference on Trust, 2024

FedXAI for Detecting DDoS on IoT Edge Networks in Federated Learning.
Proceedings of the 34th International Telecommunication Networks and Applications Conference, 2024

A Mutation-Based Method for Backdoored Sample Detection Without Clean Data.
Proceedings of the 2024 IEEE Global Communications Conference, 2024

OPMUS: A Win-Win Pricing Strategy for Machine Unlearning Service.
Proceedings of the Advanced Data Mining and Applications - 20th International Conference, 2024

UFL: Unlinkable Federated Learning Through Shuffle and Shamir's Secret Sharing.
Proceedings of the Advanced Data Mining and Applications - 20th International Conference, 2024

2023
RUE: Realising Unlearning from the Perspective of Economics.
Proceedings of the 22nd IEEE International Conference on Trust, 2023

FedMC: Federated Learning with Mode Connectivity Against Distributed Backdoor Attacks.
Proceedings of the IEEE International Conference on Communications, 2023

Conditional Matching GAN Guided Reconstruction Attack in Machine Unlearning.
Proceedings of the IEEE Global Communications Conference, 2023

CP-FL: Practical Gradient Leakage Defense in Federated Learning with Compressive Privacy.
Proceedings of the IEEE Global Communications Conference, 2023

Extracting Privacy-Preserving Subgraphs in Federated Graph Learning using Information Bottleneck.
Proceedings of the 2023 ACM Asia Conference on Computer and Communications Security, 2023

BFU: Bayesian Federated Unlearning with Parameter Self-Sharing.
Proceedings of the 2023 ACM Asia Conference on Computer and Communications Security, 2023

2022
Locally Random Sampling for Practical Privacy Protection in Federated Learning.
Proceedings of the IEEE Global Communications Conference, 2022

2019
Protecting multi-party privacy in location-aware social point-of-interest recommendation.
World Wide Web, 2019

2018
Efficient task assignment in spatial crowdsourcing with worker and task privacy protection.
GeoInformatica, 2018

A Privacy-Preserving Framework for Trust-Oriented Point-of-Interest Recommendation.
IEEE Access, 2018

Towards Privacy-Preserving Travel-Time-First Task Assignment in Spatial Crowdsourcing.
Proceedings of the Web and Big Data - Second International Joint Conference, 2018


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