An MDL-based multi-task classification and reconstruction algorithm. - Ying-Gui Wang; Zheng Liu 012; Dao-Wang Feng; Wen-Li Jiang (FUSION, 2013)

A multitask recovery algorithm for block-sparse signals. - Ying-Gui Wang; Jian-Sheng Qu; Zheng Liu 012; Wenli Jiang (WCSP, 2013)

Enhanced multi-task compressive sensing using Laplace priors and MDL-based task classification. - Ying-Gui Wang; Le Yang 001; Liang Tang; Zheng Liu 012; Wen-Li Jiang (EURASIP J. Adv. Signal Process., 2013)

Compressive detection of stochastic signals with the measurement matrix not necessarily orthonormal. - Ying-Gui Wang; Le Yang 001; Zheng Liu 012; Fucheng Guo 001; Wen-Li Jiang (FUSION, 2014)

Block-sparse signal recovery with synthesized multitask compressive sensing. - Ying-Gui Wang; Zheng Liu 012; Wen-Li Jiang; Le Yang 001 (ICASSP, 2014)

SBL-based multi-task algorithms for recovering block-sparse signals with unknown partitions. - Ying-Gui Wang; Le Yang 001; Zheng Liu 012; Wen-Li Jiang (EURASIP J. Adv. Signal Process., 2014)

TOA-based joint synchronization and source localization with random errors in sensor positions and sensor clock biases. - Ying-Gui Wang; Jun Huang; Le Yang 001; Yanbo Xue (Ad Hoc Networks, 2015)

Generalized compressive detection of stochastic signals using Neyman-Pearson theorem. - Ying-Gui Wang; Zheng Liu 012; Le Yang 001; Wen-Li Jiang (Signal Image Video Process., 2015)

Multitask classification and reconstruction using extended Turbo approximate message passing. - Ying-Gui Wang; Le Yang 001; Ze-Ying Tang; Yong Gao (Signal Image Video Process., 2017)

Privacy-Preserving Face Recognition in the Frequency Domain. - Yinggui Wang; Jian Liu; Man Luo; Le Yang 001; Li Wang (AAAI, 2022)

Privacy-Preserving End-to-End Spoken Language Understanding. - Yinggui Wang; Wei Huang 039; Le Yang 001 (IJCAI, 2023)

You Can Backdoor Personalized Federated Learning. - Tiandi Ye; Cen Chen 001; Yinggui Wang; Xiang Li 067; Ming Gao 001 (CoRR, 2023)

StegGuard: Fingerprinting Self-supervised Pre-trained Encoders via Secrets Embeder and Extractor. - Xingdong Ren; Tianxing Zhang; Hanzhou Wu; Xinpeng Zhang 001; Yinggui Wang; Guangling Sun (CoRR, 2023)

Flatness-aware Adversarial Attack. - Mingyuan Fan 003; Xiaodan Li; Cen Chen 001; Yinggui Wang (CoRR, 2023)

TaiChi: Improving the Robustness of NLP Models by Seeking Common Ground While Reserving Differences. - Huimin Chen; Chengyu Wang 001; Yanhao Wang 001; Cen Chen 001; Yinggui Wang (LREC/COLING, 2024)

Privacy Evaluation Benchmarks for NLP Models. - Wei Huang 039; Yinggui Wang; Cen Chen 001 (EMNLP (Findings), 2024)

A Fast, Performant, Secure Distributed Training Framework For LLM. - Wei Huang 039; Yinggui Wang; Anda Cheng; Aihui Zhou; Chaofan Yu; Lei Wang (ICASSP, 2024)

Enhanced Face Recognition using Intra-class Incoherence Constraint. - Yuanqing Huang 002; Yinggui Wang; Le Yang 001; Lei Wang (ICLR, 2024)

UPFL: Unsupervised Personalized Federated Learning towards New Clients. - Tiandi Ye; Cen Chen 001; Yinggui Wang; Xiang Li 067; Ming Gao 001 (SDM, 2024)

A Fast, Performant, Secure Distributed Training Framework For Large Language Model. - Wei Huang 039; Yinggui Wang; Anda Cheng; Aihui Zhou; Chaofan Yu; Lei Wang (CoRR, 2024)

Inference Attacks Against Face Recognition Model without Classification Layers. - Yuanqing Huang 002; Huilong Chen; Yinggui Wang; Lei Wang (CoRR, 2024)

Adaptive Hybrid Masking Strategy for Privacy-Preserving Face Recognition Against Model Inversion Attack. - Yuanqing Huang 002; Yinggui Wang; Jianshu Li; Le Yang 001; Kai Song; 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)

Information Leakage from Embedding in Large Language Models. - Zhipeng Wan; Anda Cheng; Yinggui Wang; Lei Wang (CoRR, 2024)

Federated Submodular Maximization With Differential Privacy. - Yanhao Wang 001; Tianchen Zhou; Cen Chen 001; Yinggui Wang (IEEE Internet Things J., 2024)

BapFL: You can Backdoor Personalized Federated Learning. - Tiandi Ye; Cen Chen 001; Yinggui Wang; Xiang Li 067; Ming Gao 001 (ACM Trans. Knowl. Discov. Data, 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 001 (IEEE J. Sel. Areas Commun., 2024)

GradOT: Training-free Gradient-preserving Offsite-tuning for Large Language Models. - Kai Yao; Zhaorui Tan; Penglei Gao; Lichun Li; Kaixin Wu; Yinggui Wang; Yuan Zhao; Yixin Ji; Jianke Zhu; Wei Wang 002 (ACL (1), 2025)

PRIV-QA: Privacy-Preserving Question Answering for Cloud Large Language Models. - Guangwei Li; Yuansen Zhang; Yinggui Wang; Shoumeng Yan; Lei Wang; Tao Wei 002 (CoRR, 2025)

Losing is for Cherishing: Data Valuation Based on Machine Unlearning and Shapley Value. - Le Ma; Shirao Yang; Zihao Wang; Yinggui Wang; Lei Wang; Tao Wei 002; Kejun Zhang (CoRR, 2025)

VeFIA: An Efficient Inference Auditing Framework for Vertical Federated Collaborative Software. - Chung-ju Huang; Ziqi Zhang; Yinggui Wang; Binghui Wang; Tao Wei 002; Leye Wang (CoRR, 2025)

AnchorSync: Global Consistency Optimization for Long Video Editing. - Zichi Liu; Yinggui Wang; Tao Wei 002; Chao Ma (CoRR, 2025)