We stand with Ukraine

We stand with Ukraine

Pengju Wang

This page is a disambiguation page, it actually contains multiple papers from persons of the same or a similar name.

Bibliography

2026

Privacy-Preserving Model Transcription With Differentially Private Synthetic Distillation.

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IEEE Trans. Pattern Anal. Mach. Intell., June, 2026

Agentic Fusion of Large Atomic and Language Models to Accelerate Superconductors Discovery.

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CoRR, April, 2026

Enhancing XL-MIMO Hybrid-Field Channel Estimation With Modular Staged Dictionary Learning.

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IEEE Wirel. Commun. Lett., 2026

Robust Near-Field XL-MIMO Channel Estimation via Dual-Stage Optimization and Residual Refinement.

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IEEE Trans. Commun., 2026

Regularized evidential neural networks for deep active learning.

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Pattern Recognit., 2026

2025

DiffSpectra: Molecular Structure Elucidation from Spectra using Diffusion Models.

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CoRR, July, 2025

PINN-parafoil: A physics-informed neural network method for complex parafoil dynamics simulating.

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J. Comput. Sci., 2025

Improved digital mapping of soil texture using the kernel temperature-vegetation dryness index and adaptive boosting.

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Ecol. Informatics, 2025

MOF-BFN: Metal-Organic Frameworks Structure Prediction via Bayesian Flow Networks.

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Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

ADPF: Adversarial Sample Detection Based on Prediction Feature.

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Proceedings of the Advanced Intelligent Computing Technology and Applications, 2025

2024

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

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Inf., July, 2024

Towards Personalized Federated Learning via Comprehensive Knowledge Distillation.

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Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2024

Private Gradient Estimation is Useful for Generative Modeling.

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Liansheng Zhuang

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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.

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Proceedings of the International Joint Conference on Neural Networks, 2024

Learning Differentially Private Diffusion Models via Stochastic Adversarial Distillation.

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Proceedings of the Computer Vision - ECCV 2024, 2024

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

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

M3D: Dataset Condensation by Minimizing Maximum Mean Discrepancy.

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

2023

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

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BMC Medical Informatics Decis. Mak., December, 2023

Learning Patch-Channel Correspondence for Interpretable Face Forgery Detection.

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IEEE Trans. Image Process., 2023

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

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IEEE Trans. Image Process., 2023

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

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Liansheng Zhuang

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CoRR, 2023

Personalized Federated Learning via Backbone Self-Distillation.

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Proceedings of the ACM Multimedia Asia 2023, 2023

Federated Learning with Label-Masking Distillation.

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

Model Conversion via Differentially Private Data-Free Distillation.

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

Research on Water Supply Pipe Leakage Diagnosis Algorithm.

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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.

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IEEE Commun. Lett., 2022

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

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Comput. Math. Organ. Theory, 2022

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

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

Deepfake Video Detection with Spatiotemporal Dropout Transformer.

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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.

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CoRR, 2021

Differentially Private Learning with Grouped Gradient Clipping.

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

Research on Key Information Recognition System Based on Bayesian Classification.

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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.

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Proceedings of the Intelligent Computing, 2020

2019

Mixed convolutional recurrent neural networks: learning for signal classification.

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Proceedings of the International Conference on Artificial Intelligence, 2019

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