Xin Wang

Orcid: 0000-0001-8246-0606

Affiliations:
  • Qilu University of Technology, China
  • Zhejiang University, State Key Laboratory of Industrial Control Technology, Hangzhou, China


According to our database1, Xin Wang authored at least 35 papers between 2018 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
FedeCouple: Fine-Grained Balancing of Global-Generalization and Local-Adaptability in Federated Learning.
IEEE Trans. Mob. Comput., April, 2026

Planning-Operation Coordinated Mitigation for Load Redistribution Attacks in Optimal Power Flow With Phase Shifting Transformers.
IEEE Trans. Ind. Informatics, April, 2026

PrivLSTM: A privacy-preserving LSTM inference framework by fusing encryption and network structure for multi-sourced Data.
Inf. Fusion, 2026

An adaptive length-variation based evolutionary multitasking algorithm for feature selection of high-dimensional classification.
Expert Syst. Appl., 2026

2025
Black-box adversarial attacks on deep reinforcement learning-based proportional-integral-derivative controllers for load frequency control.
Frontiers Inf. Technol. Electron. Eng., November, 2025

TokenCLIP: Token-wise Prompt Learning for Zero-shot Anomaly Detection.
CoRR, October, 2025

A Defense Method Against Zero-Dynamics Attack on Wind Power System.
IEEE Trans. Ind. Informatics, September, 2025

FDTA: A Value-Guaranteed Fair Data Trading Approach With a Three-Stage Stackelberg Game.
IEEE Internet Things J., April, 2025

FedSiam-DA: Dual-Aggregated Federated Learning via Siamese Network for Non-IID Data.
IEEE Trans. Mob. Comput., February, 2025

ADP-VRSGP: Decentralized Learning With Adaptive Differential Privacy via Variance-Reduced Stochastic Gradient Push.
IEEE Internet Things J., 2025

MMH-FE: A Multi-Precision and Multi-Sourced Heterogeneous Privacy-Preserving Neural Network Training Based on Functional Encryption.
Comput. Mater. Continua, 2025

An Autoencoder-Based Black-Box Adversarial False Data Injection Attack Against Smart Grid.
Proceedings of the 24th IEEE International Conference on Trust, 2025

Detection and Localization of False Data Injection Attacks in Power Systems Based on TGRU.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2025

AD<sup>2</sup>-pFed: Personalized Federated Learning Based on Adaptive Bilateral Distillation with Diffusion Models.
Proceedings of the Knowledge Science, Engineering and Management, 2025

Choice Outweighs Effort: Facilitating Complementary Knowledge Fusion in Federated Learning via Re-Calibration and Merit-Discrimination.
Proceedings of the ECAI 2025 - 28th European Conference on Artificial Intelligence, 25-30 October 2025, Bologna, Italy, 2025

2024
Neural Network-Based State Estimation for Nonlinear Systems with Denial-of-Service Attack Under Try-Once-Discard Protocol.
IEEE CAA J. Autom. Sinica, October, 2024

Privacy-Preserving Collaborative Learning: A Scheme Providing Heterogeneous Protection.
IEEE Internet Things J., January, 2024

Data pricing with privacy loss compensation for cyber-physical systems: A Stackelberg game based approach.
Internet Technol. Lett., 2024

FedTweet: Two-fold Knowledge Distillation for non-IID Federated Learning.
Comput. Electr. Eng., 2024

Poisoning Attack on Federated Learning with Non-IID Data: A Historical-Global-Model-Based Approach.
Proceedings of the Security and Privacy in Communication Networks, 2024

2023
Achieving Physical Layer Security Against Location Unknown Eavesdroppers via Friendly Jammer.
IEEE CAA J. Autom. Sinica, October, 2023

Resilient Distributed Classification Learning Against Label Flipping Attack: An ADMM-Based Approach.
IEEE Internet Things J., September, 2023

Wind Speed Prediction Based on Error Compensation.
Sensors, 2023

Leveraging UAV-RIS Reflects to Improve the Security Performance of Wireless Network Systems.
IEEE Netw. Lett., 2023

Impact Analysis of Moving Target Defense on the Small-Signal Stability in Power Systems.
Proceedings of the 6th IEEE International Conference on Industrial Cyber-Physical Systems, 2023

2022
Energy-efficient DoS attack against remote state estimation.
Internet Technol. Lett., 2022

FedSiam-DA: Dual-aggregated Federated Learning via Siamese Network under Non-IID Data.
CoRR, 2022

Stealthy Attack Detection for Privacy-preserving Real-time Pricing in Smart Grids.
Proceedings of the 13th Asian Control Conference, 2022

2021
Dynamic Privacy-Aware Collaborative Schemes for Average Computation: A Multi-Time Reporting Case.
IEEE Trans. Inf. Forensics Secur., 2021

2020
Privacy-Preserving Distributed Machine Learning via Local Randomization and ADMM Perturbation.
IEEE Trans. Signal Process., 2020

A Novel Pseudonym Linking Scheme for Privacy Inference in VANETs.
Proceedings of the 91st IEEE Vehicular Technology Conference, 2020

2019
Privacy Preserving Collaborative Computing: Heterogeneous Privacy Guarantee and Efficient Incentive Mechanism.
IEEE Trans. Signal Process., 2019

Differentially Private Maximum Consensus: Design, Analysis and Impossibility Result.
IEEE Trans. Netw. Sci. Eng., 2019

Differential Privacy-preserving Distributed Machine Learning.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

2018
Privacy Preserving Average Consensus with Different Privacy Guarantee.
Proceedings of the 2018 Annual American Control Conference, 2018


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