Pengju Wang

Orcid: 0000-0003-3801-6262

According to our database1, Pengju Wang authored at least 17 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
M3D: Dataset Condensation by Minimizing Maximum Mean Discrepancy.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Perturbing BEAMs: EEG adversarial attack to deep learning models for epilepsy diagnosing.
BMC Medical Informatics Decis. Mak., December, 2023

Learning Privacy-Preserving Student Networks via Discriminative-Generative Distillation.
IEEE Trans. Image Process., 2023

Learning Differentially Private Probabilistic Models for Privacy-Preserving Image Generation.
CoRR, 2023

Personalized Federated Learning via Backbone Self-Distillation.
Proceedings of the ACM Multimedia Asia 2023, 2023

Federated Learning with Label-Masking Distillation.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Model Conversion via Differentially Private Data-Free Distillation.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Research on Water Supply Pipe Leakage Diagnosis Algorithm.
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.
IEEE Commun. Lett., 2022

How to encourage innovation failure knowledge sharing in virtual research organization: an incentive mechanism based on game theory.
Comput. Math. Organ. Theory, 2022

Privacy-Preserving Student Learning with Differentially Private Data-Free Distillation.
Proceedings of the 24th IEEE International Workshop on Multimedia Signal Processing, 2022

Deepfake Video Detection with Spatiotemporal Dropout Transformer.
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.
CoRR, 2021

Differentially Private Learning with Grouped Gradient Clipping.
Proceedings of the MMAsia '21: ACM Multimedia Asia, Gold Coast, Australia, December 1, 2021

Research on Key Information Recognition System Based on Bayesian Classification.
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.
Proceedings of the Intelligent Computing, 2020

2019
Mixed convolutional recurrent neural networks: learning for signal classification.
Proceedings of the International Conference on Artificial Intelligence, 2019


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