Yang Yang

Orcid: 0000-0002-6297-5722

Affiliations:
  • Hubei University, School of Computer and Information Engineering, Wuhan, China
  • Huazhong University of Science and Technology, China (PhD 2017)


According to our database1, Yang Yang authored at least 53 papers between 2012 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
PhySE: A Psychological Framework for Real-Time AR-LLM Social Engineering Attacks.
CoRR, April, 2026

UNSEEN: A Cross-Stack LLM Unlearning Defense against AR-LLM Social Engineering Attacks.
CoRR, April, 2026

On the Feasibility of Using MultiModal LLMs to Execute AR Social Engineering Attacks.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
S<sup>2</sup>NN: Sub-bit Spiking Neural Networks.
CoRR, September, 2025

Dynamic Personalized Federated Learning via Representation-Driven Clustering.
IEEE Internet Things J., August, 2025

REFN: A Reinforcement-Learning-From-Network Framework against 1-day/n-day Exploitations.
CoRR, August, 2025

LLMGraph: Label-Free Detection Against APTs in Edge Networks via LLM and GCN.
IEEE Trans. Dependable Secur. Comput., 2025

Poisoning as a Post-Protection: Mitigating Membership Privacy Leakage From Gradient and Prediction of Federated Models.
IEEE Trans. Dependable Secur. Comput., 2025

A continuous verification mechanism for ensuring client data forgetfulness in Federated Unlearning.
Eng. Appl. Artif. Intell., 2025

Intelligent port logistics: A spatiotemporal knowledge graph and AI-agent framework for berth allocation.
Adv. Eng. Informatics, 2025

SEAR: A Multimodal Dataset for Analyzing AR-LLM-Driven Social Engineering Behaviors.
Proceedings of the 33rd ACM International Conference on Multimedia, 2025

Temporal-coded Spiking Transformer.
Proceedings of the 33rd ACM International Conference on Multimedia, 2025

Feature and Temporal Disruption Attacks from Images to Videos.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2025

Generating Is Believing: Membership Inference Attacks against Retrieval-Augmented Generation.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024
Revisiting Long- and Short-Term Preference Learning for Next POI Recommendation With Hierarchical LSTM.
IEEE Trans. Mob. Comput., December, 2024

CORAL: Recognition and Locating of Contextual Objects With Unmodulated Acoustic Signals.
IEEE Internet Things J., October, 2024

Membership Inference Attack against Long-Context Large Language Models.
CoRR, 2024

Seeing Is Believing: Black-Box Membership Inference Attacks Against Retrieval Augmented Generation.
CoRR, 2024

Spike-based Neuromorphic Model for Sound Source Localization.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

United We Stand, Divided We Fall: Fingerprinting Deep Neural Networks via Adversarial Trajectories.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Q-SNNs: Quantized Spiking Neural Networks.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

A Contribution Assessment Method Based on Model Performance Gains in Federated Learning.
Proceedings of the IEEE International Symposium on Parallel and Distributed Processing with Applications, 2024

A Continuous Verification Mechanism for Clients in Federated Unlearning to Defend the Right to be Forgotten.
Proceedings of the IEEE International Symposium on Parallel and Distributed Processing with Applications, 2024

Few-Shot Camouflaged Object Segmentation.
Proceedings of the International Joint Conference on Neural Networks, 2024

2023
CP-Link: Exploiting Continuous Spatio-Temporal Check-In Patterns for User Identity Linkage.
IEEE Trans. Mob. Comput., August, 2023

FedCSA: Boosting the Convergence Speed of Federated Unlearning under Data Heterogeneity.
Proceedings of the IEEE Intl Conf on Parallel & Distributed Processing with Applications, 2023

Disentangling Client Contributions: Improving Federated Learning Accuracy in the Presence of Heterogeneous Data.
Proceedings of the IEEE Intl Conf on Parallel & Distributed Processing with Applications, 2023

Partial Deep Domain Adaptation for Non-Intrusive Load Monitoring.
Proceedings of the IEEE Intl Conf on Parallel & Distributed Processing with Applications, 2023

2022
Poisoning attacks and countermeasures in intelligent networks: Status quo and prospects.
Digit. Commun. Networks, 2022

Link User Identities Across Social Networks Based on Contact Graph and User Social Behavior.
IEEE Access, 2022

2021
Keep Your Data Locally: Federated-Learning-Based Data Privacy Preservation in Edge Computing.
IEEE Netw., 2021

GPS spoofed or not? Exploiting RSSI and TSS in crowdsourced air traffic control data.
Distributed Parallel Databases, 2021

Energy-Optimal 3D Path Planning for MAV with Motion Uncertainty.
Complex., 2021

FedEraser: Enabling Efficient Client-Level Data Removal from Federated Learning Models.
Proceedings of the 29th IEEE/ACM International Symposium on Quality of Service, 2021

2020
Federated Unlearning.
CoRR, 2020

Incentivizing Mobile Video Users With Data Sponsoring and Edge Caching.
IEEE Access, 2020

User Identity Linkage across Location-Based Social Networks with Spatio- Temporal Check-in Patterns.
Proceedings of the IEEE International Conference on Parallel & Distributed Processing with Applications, 2020

Blockchain consensuses and incentives.
Proceedings of the Blockchains for Network Security: Principles, 2020

2019
On the Performance of $k$ -Anonymity Against Inference Attacks With Background Information.
IEEE Internet Things J., 2019

A Supervised Learning Based QoS Assurance Architecture for 5G Networks.
IEEE Access, 2019

A Unified Framework for Constrained Linearization of Sensor Networks With Arbitrary Shapes.
IEEE Access, 2019

A unified framework for constrained linearization of 2D/3D sensor networks with arbitrary shapes.
Proceedings of the ACM Turing Celebration Conference - China, 2019

2018
SNP: A 1-Manifold Skeleton-Based Navigation Protocol in 3D Sensor Networks.
IEEE Trans. Mob. Comput., 2018

On Simultaneous Power Replenishment for Wireless Sensor Networks With Multiple Portable Chargers.
IEEE Access, 2018

Smart Home Based on WiFi Sensing: A Survey.
IEEE Access, 2018

SAP: A Novel Stationary Peers Assisted Indoor Positioning System.
IEEE Access, 2018

2017
FRESH: Push the Limit of D2D Communication Underlaying Cellular Networks.
IEEE Trans. Mob. Comput., 2017

On optimizing power allocation and power splitting for MISO SWIPT systems with heterogeneous users.
Proceedings of the 2017 IEEE Conference on Computer Communications Workshops, 2017

2016
Towards Robust Surface Skeleton Extraction and Its Applications in 3D Wireless Sensor Networks.
IEEE/ACM Trans. Netw., 2016

2015
A Unified Framework for Line-Like Skeleton Extraction in 2D/3D Sensor Networks.
IEEE Trans. Computers, 2015

2014
Surface skeleton extraction and its application for data storage in 3D sensor networks.
Proceedings of the Fifteenth ACM International Symposium on Mobile Ad Hoc Networking and Computing, 2014

2013
A unified framework for line-like skeleton extraction in 2D/3D sensor networks.
Proceedings of the 2013 21st IEEE International Conference on Network Protocols, 2013

2012
Connectivity-based and Boundary-Free Skeleton Extraction in Sensor Networks.
Proceedings of the 2012 IEEE 32nd International Conference on Distributed Computing Systems, 2012


  Loading...