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Pengju Wang
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2020 – today
- 2025
- [j7]Xu Zhai, Yuzhong Liu, Yuanyuan Hong, Yunjie Yang, Pengju Wang, Zhicheng Ye, Xiaoyan Liu, Tianlong She, Lihui Wang, Chen Xu, Lili Zhang, Qiang Wang:
Improved digital mapping of soil texture using the kernel temperature-vegetation dryness index and adaptive boosting. Ecol. Informatics 87: 103083 (2025) - 2024
- [j6]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): 391 (2024) - [c16]Hansong Zhang, Shikun Li, Pengju Wang, Dan Zeng, Shiming Ge:
M3D: Dataset Condensation by Minimizing Maximum Mean Discrepancy. AAAI 2024: 9314-9322 - [c15]Pengju Wang, Jing Liu:
ASL: Adversarial Attack by Stacking Layer-wise Relevance Propagation. CSCWD 2024: 796-801 - [c14]Bochao Liu, Pengju Wang, Shiming Ge:
Learning Differentially Private Diffusion Models via Stochastic Adversarial Distillation. ECCV (7) 2024: 55-71 - [c13]Pengju Wang, Bochao Liu, Weijia Guo, Yong Li, Shiming Ge:
Fusion of Current and Historical Knowledge for Personalized Federated Learning. IJCNN 2024: 1-8 - [c12]Bochao Liu
Private Gradient Estimation is Useful for Generative Modeling. ACM Multimedia 2024: 282-290 - [c11]Pengju Wang, Bochao Liu, Weijia Guo, Yong Li, Shiming Ge:
Towards Personalized Federated Learning via Comprehensive Knowledge Distillation. SMC 2024: 3807-3812 - [i12]Bochao Liu, Pengju Wang, Shiming Ge:
Learning Differentially Private Diffusion Models via Stochastic Adversarial Distillation. CoRR abs/2408.14738 (2024) - [i11]Shiming Ge, Bochao Liu, Pengju Wang, Yong Li, Dan Zeng:
Learning Privacy-Preserving Student Networks via Discriminative-Generative Distillation. CoRR abs/2409.02404 (2024) - [i10]Bochao Liu, Jianghu Lu, Pengju Wang, Junjie Zhang, Dan Zeng, Zhenxing Qian
Privacy-Preserving Student Learning with Differentially Private Data-Free Distillation. CoRR abs/2409.12384 (2024) - [i9]Jianghu Lu, Shikun Li, Kexin Bao, Pengju Wang, Zhenxing Qian
Federated Learning with Label-Masking Distillation. CoRR abs/2409.13136 (2024) - [i8]Pengju Wang, Bochao Liu, Dan Zeng, Chenggang Yan, Shiming Ge:
Personalized Federated Learning via Backbone Self-Distillation. CoRR abs/2409.15636 (2024) - [i7]Pengju Wang, Bochao Liu, Weijia Guo, Yong Li, Shiming Ge:
Towards Personalized Federated Learning via Comprehensive Knowledge Distillation. CoRR abs/2411.03569 (2024) - 2023
- [j5]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): 115 (2023) - [j4]Shiming Ge
Learning Privacy-Preserving Student Networks via Discriminative-Generative Distillation. IEEE Trans. Image Process. 32: 116-127 (2023) - [j3]Yingying Hua, Ruixin Shi, Pengju Wang
Learning Patch-Channel Correspondence for Interpretable Face Forgery Detection. IEEE Trans. Image Process. 32: 1668-1680 (2023) - [c10]Likai Dou, Jie Wang, Baoren Wang, Shengfu Guan, Pengju Wang, Ziao Su:
Research on Water Supply Pipe Leakage Diagnosis Algorithm. CAIBDA 2023: 169-175 - [c9]Bochao Liu, Pengju Wang, Shikun Li, Dan Zeng, Shiming Ge:
Model Conversion via Differentially Private Data-Free Distillation. IJCAI 2023: 2187-2195 - [c8]Jianghu Lu
Federated Learning with Label-Masking Distillation. ACM Multimedia 2023: 222-232 - [c7]Pengju Wang
Personalized Federated Learning via Backbone Self-Distillation. MMAsia 2023: 2:1-2:7 - [i6]Bochao Liu, Pengju Wang, Shikun Li
Model Conversion via Differentially Private Data-Free Distillation. CoRR abs/2304.12528 (2023) - [i5]Bochao Liu, Shiming Ge, Pengju Wang, Liansheng Zhuang, Tongliang Liu:
Learning Differentially Private Probabilistic Models for Privacy-Preserving Image Generation. CoRR abs/2305.10662 (2023) - [i4]Hansong Zhang, Shikun Li, Pengju Wang, Dan Zeng, Shiming Ge:
M3D: Dataset Condensation by Minimizing Maximum Mean Discrepancy. CoRR abs/2312.15927 (2023) - 2022
- [j2]Zhuang Xiong
How to encourage innovation failure knowledge sharing in virtual research organization: an incentive mechanism based on game theory. Comput. Math. Organ. Theory 28(3): 193-213 (2022) - [j1]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): 3059-3063 (2022) - [c6]Daichi Zhang, Fanzhao Lin, Yingying Hua, Pengju Wang, Dan Zeng, Shiming Ge:
Deepfake Video Detection with Spatiotemporal Dropout Transformer. ACM Multimedia 2022: 5833-5841 - [c5]Bochao Liu, Jianghu Lu, Pengju Wang, Junjie Zhang, Dan Zeng, Zhenxing Qian
Privacy-Preserving Student Learning with Differentially Private Data-Free Distillation. MMSP 2022: 1-6 - [i3]Daichi Zhang, Fanzhao Lin, Yingying Hua, Pengju Wang, Dan Zeng, Shiming Ge:
Deepfake Video Detection with Spatiotemporal Dropout Transformer. CoRR abs/2207.06612 (2022) - 2021
- [c4]Chenran Li, Pengju Wang, Wenjing Li, Zixuan Ma, Hanran Liu, Dayan Liu:
Research on Key Information Recognition System Based on Bayesian Classification. ICSED 2021: 71-75 - [c3]Haolin Liu, Chenyu Li, Bochao Liu, Pengju Wang, Shiming Ge, Weiping Wang
Differentially Private Learning with Grouped Gradient Clipping. MMAsia 2021: 14:1-14:7 - [i2]Yingying Hua, Daichi Zhang, Pengju Wang, Shiming Ge:
Interpretable Face Manipulation Detection via Feature Whitening. CoRR abs/2106.10834 (2021) - 2020
- [c2]Jiapeng Dong, Pengju Wang, Weiqiang Sun:
Cost of Dietary Data Acquisition with Smart Group Catering. SAI (1) 2020: 502-520 - [i1]Jiapeng Dong, Pengju Wang, Weiqiang Sun:
Cost of Dietary Data Acquisition with Smart Group Catering. CoRR abs/2001.00367 (2020)
2010 – 2019
- 2019
- [c1]Wentao Wang, Canhui Liao, Quan Cheng, Pengju Wang:
Mixed convolutional recurrent neural networks: learning for signal classification. AIIPCC 2019: 1:1-1:6
Coauthor Index
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