Pengju Wang

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 24

Top Topics

Multi Modal Fusion

Image Generation

Bayesian Classification

Top Venues

IEEE Trans. Image Process.

Publications

Hansong Zhang, Shikun Li, Pengju Wang, Dan Zeng, Shiming Ge
M3D: Dataset Condensation by Minimizing Maximum Mean Discrepancy. AAAI (2024)
Pengju Wang, Jing Liu
ASL: Adversarial Attack by Stacking Layer-wise Relevance Propagation. CSCWD (2024)
Jing Liu, Huailin Liu, Pengju Wang, Yang Wu, Keqin Li
DIPA: Adversarial Attack on DNNs by Dropping Information and Pixel-Level Attack on Attention. Inf. 15 (7) (2024)
Bochao Liu, Pengju Wang, Shikun Li, Dan Zeng, Shiming Ge
Model Conversion via Differentially Private Data-Free Distillation. CoRR (2023)
Jianfeng Yu, Kai Qiu, Pengju Wang, Caixia Su, Yufeng Fan, Yongfeng Cao
Perturbing BEAMs: EEG adversarial attack to deep learning models for epilepsy diagnosing. BMC Medical Informatics Decis. Mak. 23 (1) (2023)
Hansong Zhang, Shikun Li, Pengju Wang, Dan Zeng, Shiming Ge
M3D: Dataset Condensation by Minimizing Maximum Mean Discrepancy. CoRR (2023)
Bochao Liu, Shiming Ge, Pengju Wang, Liansheng Zhuang, Tongliang Liu
Learning Differentially Private Probabilistic Models for Privacy-Preserving Image Generation. CoRR (2023)
Jianghu Lu, Shikun Li, Kexin Bao, Pengju Wang, Zhenxing Qian, Shiming Ge
Federated Learning with Label-Masking Distillation. ACM Multimedia (2023)
Bochao Liu, Pengju Wang, Shikun Li, Dan Zeng, Shiming Ge
Model Conversion via Differentially Private Data-Free Distillation. IJCAI (2023)
Yingying Hua, Ruixin Shi, Pengju Wang, Shiming Ge
Learning Patch-Channel Correspondence for Interpretable Face Forgery Detection. IEEE Trans. Image Process. 32 (2023)
Pengju Wang, Bochao Liu, Dan Zeng, Chenggang Yan, Shiming Ge
Personalized Federated Learning via Backbone Self-Distillation. MMAsia (2023)
Likai Dou, Jie Wang, Baoren Wang, Shengfu Guan, Pengju Wang, Ziao Su
Research on Water Supply Pipe Leakage Diagnosis Algorithm. CAIBDA (2023)
Shiming Ge, Bochao Liu, Pengju Wang, Yong Li, Dan Zeng
Learning Privacy-Preserving Student Networks via Discriminative-Generative Distillation. IEEE Trans. Image Process. 32 (2023)
Bochao Liu, Jianghu Lu, Pengju Wang, Junjie Zhang, Dan Zeng, Zhenxing Qian, Shiming Ge
Privacy-Preserving Student Learning with Differentially Private Data-Free Distillation. MMSP (2022)
Daichi Zhang, Fanzhao Lin, Yingying Hua, Pengju Wang, Dan Zeng, Shiming Ge
Deepfake Video Detection with Spatiotemporal Dropout Transformer. ACM Multimedia (2022)
Zhuang Xiong, Pengju Wang, Chengxia Wu
How to encourage innovation failure knowledge sharing in virtual research organization: an incentive mechanism based on game theory. Comput. Math. Organ. Theory 28 (3) (2022)
Pengju Wang, Jianjun Li, Xinyang Liu, Peng Wang
Multi-Stage Training Optimization for Pilot Compression and Channel Estimation in Massive MIMO Systems Under Quasi-Sparse Channel Environment. IEEE Commun. Lett. 26 (12) (2022)
Daichi Zhang, Fanzhao Lin, Yingying Hua, Pengju Wang, Dan Zeng, Shiming Ge
Deepfake Video Detection with Spatiotemporal Dropout Transformer. CoRR (2022)
Yingying Hua, Daichi Zhang, Pengju Wang, Shiming Ge
Interpretable Face Manipulation Detection via Feature Whitening. CoRR (2021)
Haolin Liu, Chenyu Li, Bochao Liu, Pengju Wang, Shiming Ge, Weiping Wang
Differentially Private Learning with Grouped Gradient Clipping. MMAsia (2021)
Chenran Li, Pengju Wang, Wenjing Li, Zixuan Ma, Hanran Liu, Dayan Liu
Research on Key Information Recognition System Based on Bayesian Classification. ICSED (2021)
Jiapeng Dong, Pengju Wang, Weiqiang Sun
Cost of Dietary Data Acquisition with Smart Group Catering. SAI (1) (2020)
Jiapeng Dong, Pengju Wang, Weiqiang Sun
Cost of Dietary Data Acquisition with Smart Group Catering. CoRR (2020)
Wentao Wang, Canhui Liao, Quan Cheng, Pengju Wang
Mixed convolutional recurrent neural networks: learning for signal classification. AIIPCC (2019)