Yinggui Wang

According to our database, Yinggui Wang authored at least 27 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Fast-Convergent Wireless Federated Learning: A Voting-Based TopK Model Compression Approach.

Xiaoxin Su, Yipeng Zhou, Laizhong Cui, Quan Z. Sheng, Yinggui Wang, Song Guo

IEEE J. Sel. Areas Commun., November, 2024

BapFL: You can Backdoor Personalized Federated Learning.

Tiandi Ye, Cen Chen, Yinggui Wang, Xiang Li, Ming Gao

ACM Trans. Knowl. Discov. Data, August, 2024

Federated Submodular Maximization With Differential Privacy.

Yanhao Wang, Tianchen Zhou, Cen Chen, Yinggui Wang

IEEE Internet Things J., January, 2024

Information Leakage from Embedding in Large Language Models.

Zhipeng Wan, Anda Cheng, Yinggui Wang, Lei Wang

CoRR, 2024

Ditto: Quantization-aware Secure Inference of Transformers upon MPC.

Haoqi Wu, Wenjing Fang, Yancheng Zheng, Junming Ma, Jin Tan, Yinggui Wang, Lei Wang

CoRR, 2024

Adaptive Hybrid Masking Strategy for Privacy-Preserving Face Recognition Against Model Inversion Attack.

Yuanqing Huang, Yinggui Wang, Jianshu Li, Le Yang, Kai Song, Lei Wang

CoRR, 2024

Inference Attacks Against Face Recognition Model without Classification Layers.

Yuanqing Huang, Huilong Chen, Yinggui Wang, Lei Wang

CoRR, 2024

A Fast, Performant, Secure Distributed Training Framework For Large Language Model.

Wei Huang, Yinggui Wang, Anda Cheng, Aihui Zhou, Chaofan Yu, Lei Wang

CoRR, 2024

UPFL: Unsupervised Personalized Federated Learning towards New Clients.

Tiandi Ye, Cen Chen, Yinggui Wang, Xiang Li, Ming Gao

Proceedings of the 2024 SIAM International Conference on Data Mining, 2024

Enhanced Face Recognition using Intra-class Incoherence Constraint.

Yuanqing Huang, Yinggui Wang, Le Yang, Lei Wang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

A Fast, Performant, Secure Distributed Training Framework For LLM.

Wei Huang, Yinggui Wang, Anda Cheng, Aihui Zhou, Chaofan Yu, Lei Wang

Proceedings of the IEEE International Conference on Acoustics, 2024

Privacy Evaluation Benchmarks for NLP Models.

Wei Huang, Yinggui Wang, Cen Chen

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

TaiChi: Improving the Robustness of NLP Models by Seeking Common Ground While Reserving Differences.

Huimin Chen, Chengyu Wang, Yanhao Wang, Cen Chen, Yinggui Wang

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2023

Flatness-aware Adversarial Attack.

Mingyuan Fan, Xiaodan Li, Cen Chen, Yinggui Wang

CoRR, 2023

StegGuard: Fingerprinting Self-supervised Pre-trained Encoders via Secrets Embeder and Extractor.

Xingdong Ren, Tianxing Zhang, Hanzhou Wu, Xinpeng Zhang, Yinggui Wang, Guangling Sun

CoRR, 2023

You Can Backdoor Personalized Federated Learning.

Tiandi Ye, Cen Chen, Yinggui Wang, Xiang Li, Ming Gao

CoRR, 2023

Privacy-Preserving End-to-End Spoken Language Understanding.

Yinggui Wang, Wei Huang, Le Yang

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

2022

Privacy-Preserving Face Recognition in the Frequency Domain.

Yinggui Wang, Jian Liu, Man Luo, Le Yang, Li Wang

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2017

Multitask classification and reconstruction using extended Turbo approximate message passing.

Ying-Gui Wang, Le Yang, Ze-Ying Tang, Yong Gao

Signal Image Video Process., 2017

2015

Generalized compressive detection of stochastic signals using Neyman-Pearson theorem.

Ying-Gui Wang, Zheng Liu, Le Yang, Wen-Li Jiang

Signal Image Video Process., 2015

TOA-based joint synchronization and source localization with random errors in sensor positions and sensor clock biases.

Ying-Gui Wang, Jun Huang, Le Yang, Yanbo Xue

Ad Hoc Networks, 2015

2014

SBL-based multi-task algorithms for recovering block-sparse signals with unknown partitions.

Ying-Gui Wang, Le Yang, Zheng Liu, Wen-Li Jiang

EURASIP J. Adv. Signal Process., 2014

Block-sparse signal recovery with synthesized multitask compressive sensing.

Ying-Gui Wang, Zheng Liu, Wen-Li Jiang, Le Yang

Proceedings of the IEEE International Conference on Acoustics, 2014

Compressive detection of stochastic signals with the measurement matrix not necessarily orthonormal.

Ying-Gui Wang, Le Yang, Zheng Liu, Fucheng Guo, Wen-Li Jiang

Proceedings of the 17th International Conference on Information Fusion, 2014

2013

Enhanced multi-task compressive sensing using Laplace priors and MDL-based task classification.

Ying-Gui Wang, Le Yang, Liang Tang, Zheng Liu, Wen-Li Jiang

EURASIP J. Adv. Signal Process., 2013

A multitask recovery algorithm for block-sparse signals.

Ying-Gui Wang, Jian-Sheng Qu, Zheng Liu, Wenli Jiang

Proceedings of the International Conference on Wireless Communications and Signal Processing, 2013

An MDL-based multi-task classification and reconstruction algorithm.

Ying-Gui Wang, Zheng Liu, Dao-Wang Feng, Wen-Li Jiang

Proceedings of the 16th International Conference on Information Fusion, 2013