Pengju Wang

According to our database, Pengju Wang authored at least 23 papers between 2019 and 2024.

Collaborative distances:

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

2024

DIPA: Adversarial Attack on DNNs by Dropping Information and Pixel-Level Attack on Attention.

Jing Liu, Huailin Liu, Pengju Wang, Yang Wu, Keqin Li

Inf., July, 2024

Private Gradient Estimation is Useful for Generative Modeling.

Bochao Liu, Pengju Wang, Weijia Guo, Yong Li, Liansheng Zhuang, Weiping Wang, Shiming Ge

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Fusion of Current and Historical Knowledge for Personalized Federated Learning.

Pengju Wang, Bochao Liu, Weijia Guo, Yong Li, Shiming Ge

Proceedings of the International Joint Conference on Neural Networks, 2024

Learning Differentially Private Diffusion Models via Stochastic Adversarial Distillation.

Bochao Liu, Pengju Wang, Shiming Ge

Proceedings of the Computer Vision - ECCV 2024, 2024

ASL: Adversarial Attack by Stacking Layer-wise Relevance Propagation.

Pengju Wang, Jing Liu

Proceedings of the 27th International Conference on Computer Supported Cooperative Work in Design, 2024

M3D: Dataset Condensation by Minimizing Maximum Mean Discrepancy.

Hansong Zhang, Shikun Li, Pengju Wang, Dan Zeng, Shiming Ge

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Perturbing BEAMs: EEG adversarial attack to deep learning models for epilepsy diagnosing.

Jianfeng Yu, Kai Qiu, Pengju Wang, Caixia Su, Yufeng Fan, Yongfeng Cao

BMC Medical Informatics Decis. Mak., December, 2023

Learning Patch-Channel Correspondence for Interpretable Face Forgery Detection.

Yingying Hua, Ruixin Shi, Pengju Wang, Shiming Ge

IEEE Trans. Image Process., 2023

Learning Privacy-Preserving Student Networks via Discriminative-Generative Distillation.

Shiming Ge, Bochao Liu, Pengju Wang, Yong Li, Dan Zeng

IEEE Trans. Image Process., 2023

Learning Differentially Private Probabilistic Models for Privacy-Preserving Image Generation.

Bochao Liu, Shiming Ge, Pengju Wang, Liansheng Zhuang, Tongliang Liu

CoRR, 2023

Personalized Federated Learning via Backbone Self-Distillation.

Pengju Wang, Bochao Liu, Dan Zeng, Chenggang Yan, Shiming Ge

Proceedings of the ACM Multimedia Asia 2023, 2023

Federated Learning with Label-Masking Distillation.

Jianghu Lu, Shikun Li, Kexin Bao, Pengju Wang, Zhenxing Qian, Shiming Ge

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Model Conversion via Differentially Private Data-Free Distillation.

Bochao Liu, Pengju Wang, Shikun Li, Dan Zeng, Shiming Ge

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

Research on Water Supply Pipe Leakage Diagnosis Algorithm.

Likai Dou, Jie Wang, Baoren Wang, Shengfu Guan, Pengju Wang, Ziao Su

Proceedings of the Advances in Artificial Intelligence, Big Data and Algorithms - Proceedings of the 3rd International Conference on Artificial Intelligence, Big Data and Algorithms (CAIBDA 2023), 2023

2022

Multi-Stage Training Optimization for Pilot Compression and Channel Estimation in Massive MIMO Systems Under Quasi-Sparse Channel Environment.

Pengju Wang, Jianjun Li, Xinyang Liu, Peng Wang

IEEE Commun. Lett., 2022

How to encourage innovation failure knowledge sharing in virtual research organization: an incentive mechanism based on game theory.

Zhuang Xiong, Pengju Wang, Chengxia Wu

Comput. Math. Organ. Theory, 2022

Privacy-Preserving Student Learning with Differentially Private Data-Free Distillation.

Bochao Liu, Jianghu Lu, Pengju Wang, Junjie Zhang, Dan Zeng, Zhenxing Qian, Shiming Ge

Proceedings of the 24th IEEE International Workshop on Multimedia Signal Processing, 2022

Deepfake Video Detection with Spatiotemporal Dropout Transformer.

Daichi Zhang, Fanzhao Lin, Yingying Hua, Pengju Wang, Dan Zeng, Shiming Ge

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

2021

Interpretable Face Manipulation Detection via Feature Whitening.

Yingying Hua, Daichi Zhang, Pengju Wang, Shiming Ge

CoRR, 2021

Differentially Private Learning with Grouped Gradient Clipping.

Haolin Liu, Chenyu Li, Bochao Liu, Pengju Wang, Shiming Ge, Weiping Wang

Proceedings of the MMAsia '21: ACM Multimedia Asia, Gold Coast, Australia, December 1, 2021

Research on Key Information Recognition System Based on Bayesian Classification.

Chenran Li, Pengju Wang, Wenjing Li, Zixuan Ma, Hanran Liu, Dayan Liu

Proceedings of the ICSED 2021: 3rd International Conference on Software Engineering and Development, Xiamen, China, November 19, 2021

2020

Cost of Dietary Data Acquisition with Smart Group Catering.

Jiapeng Dong, Pengju Wang, Weiqiang Sun

Proceedings of the Intelligent Computing, 2020

2019

Mixed convolutional recurrent neural networks: learning for signal classification.

Wentao Wang, Canhui Liao, Quan Cheng, Pengju Wang

Proceedings of the International Conference on Artificial Intelligence, 2019