Yinggui Wang

Orcid: 0000-0002-6686-6603

According to our database¹, Yinggui Wang authored at least 43 papers between 2013 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2026

LLM-AutoDP: Automatic Data Processing via LLM Agents for Model Fine-tuning.

[BibT_eX]

[DOI]

Proc. VLDB Endow., January, 2026

GradPruner: Gradient-Guided Layer Pruning Enabling Efficient Fine-Tuning and Inference for LLMs.

[BibT_eX]

[DOI]

Wei Huang

Anda Cheng

Yinggui Wang

CoRR, January, 2026

2025

Prefix Probing: Lightweight Harmful Content Detection for Large Language Models.

[BibT_eX]

[DOI]

CoRR, December, 2025

StegGuard: Secrets Encoder and Decoder Act as Fingerprint of Self-Supervised Pretrained Model.

[BibT_eX]

[DOI]

IEEE Internet Things J., September, 2025

VeFIA: An Efficient Inference Auditing Framework for Vertical Federated Collaborative Software.

[BibT_eX]

[DOI]

CoRR, July, 2025

PRIV-QA: Privacy-Preserving Question Answering for Cloud Large Language Models.

[BibT_eX]

[DOI]

CoRR, February, 2025

StegoUE: generation of unlearnable examples using steganography for contrastive learning.

[BibT_eX]

[DOI]

J. Electronic Imaging, 2025

PoiSAFL: Scalable Poisoning Attack Framework to Byzantine-resilient Semi-asynchronous Federated Learning.

[BibT_eX]

[DOI]

Proceedings of the 34th USENIX Security Symposium, 2025

AnchorSync: Global Consistency Optimization for Long Video Editing.

[BibT_eX]

[DOI]

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

Fine-grained Prompt Screening: Defending Against Backdoor Attack on Text-to-Image Diffusion Models.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

DaMoC: Efficiently Selecting the Optimal Large Language Model for Fine-tuning Domain Tasks Based on Data and Model Compression.

[BibT_eX]

[DOI]

Wei Huang

Huang Wei

Yinggui Wang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

DPF-CM: A Data Processing Framework with Privacy-Preserving Vector Databases for Chinese Medical LLMs Training and Deployment.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

Mitigating Catastrophic Forgetting in Large Language Models with Forgetting-aware Pruning.

[BibT_eX]

[DOI]

Wei Huang

Anda Cheng

Yinggui Wang

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

A Fully Probabilistic Perspective on Large Language Model Unlearning: Evaluation and Optimization.

[BibT_eX]

[DOI]

Anda Cheng

Wei Huang

Yinggui Wang

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Transferable Adversarial Examples with Bayesian Approach.

[BibT_eX]

[DOI]

Proceedings of the 20th ACM Asia Conference on Computer and Communications Security, 2025

GradOT: Training-free Gradient-preserving Offsite-tuning for Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

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

[BibT_eX]

[DOI]

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

BapFL: You can Backdoor Personalized Federated Learning.

[BibT_eX]

[DOI]

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

Federated Submodular Maximization With Differential Privacy.

[BibT_eX]

[DOI]

IEEE Internet Things J., January, 2024

Information Leakage from Embedding in Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

Inference Attacks Against Face Recognition Model without Classification Layers.

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

UPFL: Unsupervised Personalized Federated Learning towards New Clients.

[BibT_eX]

[DOI]

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

Enhanced Face Recognition using Intra-class Incoherence Constraint.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

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

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2024

Privacy Evaluation Benchmarks for NLP Models.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

2023

Flatness-aware Adversarial Attack.

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

You Can Backdoor Personalized Federated Learning.

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

2017

Multitask classification and reconstruction using extended Turbo approximate message passing.

[BibT_eX]

[DOI]

Signal Image Video Process., 2017

2015

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

[BibT_eX]

[DOI]

Signal Image Video Process., 2015

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

[BibT_eX]

[DOI]

Ad Hoc Networks, 2015

2014

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

[BibT_eX]

[DOI]

EURASIP J. Adv. Signal Process., 2014

Block-sparse signal recovery with synthesized multitask compressive sensing.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2014

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

[BibT_eX]

[DOI]

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

2013

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

[BibT_eX]

[DOI]

EURASIP J. Adv. Signal Process., 2013

A multitask recovery algorithm for block-sparse signals.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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

Yinggui Wang

Timeline

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On csauthors.net:

Bibliography

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