Meng Pang
This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.
Bibliography
2025
A Multimodal In Vitro Diagnostic Method for Parkinson's Disease Combining Facial Expressions and Behavioral Gait Data.
CoRR, June, 2025
Heterogeneous Prototype Learning From Contaminated Faces Across Domains via Disentangling Latent Factors.
IEEE Trans. Neural Networks Learn. Syst., April, 2025
You Are Your Own Best Teacher: Achieving Centralized-level Performance in Federated Learning under Heterogeneous and Long-tailed Data.
CoRR, March, 2025
A Unified Multi-Domain Face Normalization Framework for Cross-Domain Prototype Learning and Heterogeneous Face Recognition.
IEEE Trans. Inf. Forensics Secur., 2025
Provably Robust Explainable Graph Neural Networks against Graph Perturbation Attacks.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025
UMFN: Unified Multi-Domain Face Normalization for Joint Cross-domain Prototype Learning and Heterogeneous Face Recognition.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025
Deterministic Certification of Graph Neural Networks against Graph Poisoning Attacks with Arbitrary Perturbations.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025
Breaking Data Silos in Parkinson's Disease Diagnosis: An Adaptive Federated Learning Approach for Privacy-Preserving Facial Expression Analysis.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025
Practicable Black-Box Evasion Attacks on Link Prediction in Dynamic Graphs - a Graph Sequential Embedding Method.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025
2024
Auto Diagnosis of Parkinson's Disease Via a Deep Learning Model Based on Mixed Emotional Facial Expressions.
IEEE J. Biomed. Health Informatics, May, 2024
J. Comput. Sci. Technol., March, 2024
Federated Learning With Heterogeneous Quantization Bit Allocation and Aggregation for Internet of Things.
IEEE Internet Things J., January, 2024
IEEE Trans. Geosci. Remote. Sens., 2024
Recovering a clean background: A parallel deep network architecture for single-image deraining.
Pattern Recognit. Lett., 2024
Understanding Data Reconstruction Leakage in Federated Learning from a Theoretical Perspective.
CoRR, 2024
A Learning-Based Attack Framework to Break SOTA Poisoning Defenses in Federated Learning.
CoRR, 2024
Credit risk prediction based on an interpretable three-way decision method: Evidence from Chinese SMEs.
Appl. Soft Comput., 2024
Efficient, Direct, and Restricted Black-Box Graph Evasion Attacks to Any-Layer Graph Neural Networks via Influence Function.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024
Proceedings of the 29th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Reconstructing Prototype From Contaminated Face With Variations Across Heterogeneous Domains.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024
Development of a Bistable Multi-joint Modular Gripper with Enhanced Adaptability and Speed.
Proceedings of the Intelligent Robotics and Applications - 17th International Conference, 2024
Early Diagnosing Parkinson's Disease Via a Deep Learning Model Based on Augmented Facial Expression Data.
Proceedings of the IEEE International Conference on Acoustics, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
IEEE Trans. Parallel Distributed Syst., September, 2023
DisP+V: A Unified Framework for Disentangling Prototype and Variation From Single Sample per Person.
IEEE Trans. Neural Networks Learn. Syst., February, 2023
Facial Expression Guided Diagnosis of Parkinson's Disease via High-Quality Data Augmentation.
IEEE Trans. Multim., 2023
Prototype Correction via Contrastive Augmentation for Few-Shot Unconstrained Palmprint Recognition.
IEEE Trans. Inf. Forensics Secur., 2023
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023
Learning bayesian multinets from labeled and unlabeled data for knowledge representation.
Intell. Data Anal., 2023
Proceedings of the International Joint Conference on Neural Networks, 2023
Turning Strengths into Weaknesses: A Certified Robustness Inspired Attack Framework against Graph Neural Networks.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
2022
A Unified Framework for Bidirectional Prototype Learning From Contaminated Faces Across Heterogeneous Domains.
IEEE Trans. Inf. Forensics Secur., 2022
Alleviating the attribute conditional independence and I.I.D. assumptions of averaged one-dependence estimator by double weighting.
Knowl. Based Syst., 2022
Eng. Appl. Artif. Intell., 2022
GraphFL: A Federated Learning Framework for Semi-Supervised Node Classification on Graphs.
Proceedings of the IEEE International Conference on Data Mining, 2022
Cross-domain Prototype Learning from Contaminated Faces via Disentangling Latent Factors.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
2021
Iterative Dynamic Generic Learning for Face Recognition From a Contaminated Single-Sample Per Person.
IEEE Trans. Neural Networks Learn. Syst., 2021
VD-GAN: A Unified Framework for Joint Prototype and Representation Learning From Contaminated Single Sample per Person.
IEEE Trans. Inf. Forensics Secur., 2021
Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021
2020
Synergistic Generic Learning for Face Recognition From a Contaminated Single Sample per Person.
IEEE Trans. Inf. Forensics Secur., 2020
Reinforcement Learning-based Black-Box Evasion Attacks to Link Prediction in Dynamic Graphs.
CoRR, 2020
Bioinform., 2020
Iterative Dynamic Generic Learning For Single Sample Face Recognition With A Contaminated Gallery.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2020
2019
Toward Efficient Image Representation: Sparse Concept Discriminant Matrix Factorization.
IEEE Trans. Circuits Syst. Video Technol., 2019
Robust heterogeneous discriminative analysis for face recognition with single sample per person.
Pattern Recognit., 2019
2017
IEEE Access, 2017
Robust Heterogeneous Discriminative Analysis for Single Sample Per Person Face Recognition.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017
2016
Proceedings of the MultiMedia Modeling - 22nd International Conference, 2016
2015
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015
Programmable generation and storage of soliton sequences in fibre laser cavity locked to gigahertz core resonance in PCF.
Proceedings of the European Conference on Optical Communication, 2015
2013
Proceedings of the 2013 IEEE China Summit and International Conference on Signal and Information Processing, 2013