庞孟｜南昌大学｜学者主页

2026

基于ControlNet实现人脸多姿态实验设计

庞孟，肖敏华，周崟涛，王炜立，曾勍炜

《实验室研究与探索》

DOI

2026

基于对抗攻击防御的人脸原型重建综合教学实验

庞孟，周崟涛，张蓉，张晶晶，周南润

《实验技术与管理》

DOI

2026

Diffusion-Driven Facial Expression Synthesis and Multi-Scale Feature Fusion: Advancing Early Diagnosis of Parkinson’s Disease

Yintao Zhou, Haoran Liao, Houwei Xu, Meng Pang, Wei Huang

IEEE International Conference on Acoustics Speech and Signal Processing

DOI

2025

基于Prompt与ControlNet协同的人脸姿态转向方法

刘汉青，廖浩然，肖敏华，庞孟

《中国科学:技术科学》

2025

A Tri-Factor Adaptive Federated Learning Framework for Parkinson’s Disease Diagnosis via Multi-Source Facial Expression Analysis

Meng Pang, Houwei Xu, Zheng Huang, Yintao Zhou, Shengbo Chen, Binghui Wang, Wei Huang

IEEE Journal of Biomedical and Health Informatics

DOI

2025

UMFN: Unified Multi-Domain Face Normalization for Joint Cross-domain Prototype Learning and Heterogeneous Face Recognition

Meng Pang, Wenjun Zhang, Nanrun Zhou, Shengbo Chen, Hong Rao

IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings

DOI

2025

Breaking Data Silos in Parkinson’s Disease Diagnosis: An Adaptive Federated Learning Approach for Privacy-Preserving Facial Expression Analysis

Meng Pang, Houwei Xu, Zheng Huang, Yintao Zhou, Wei Min Huang, Binghui Wang

Proceedings of the AAAI Conference on Artificial Intelligence

DOI

2025

Defense Mechanism Driven Face Prototype Reconstruction: A Robust Framework against Adversarial Perturbations

Rong Zhang, Minhua Xiao, Hanqing Liu, Meng Pang

International Conference on Wavelet Analysis and Pattern Recognition

DOI

2025

Multi-View Asymmetric Self-Distillation for Chest X-Ray Vision-Language Understanding

Zheng Huang, Mingfan Qiu, Haifan Wu, Wei Xing, Meng Pang

International Conference on Computational Intelligence and Security (CIS)

DOI

2025

Facial Expression-Based Parkinson's Disease Severity Diagnosis Via Feature Fusion and Adaptive Class Balancing

Yintao Zhou, Wei Min Huang, Zhengyu Li, Jing Huang, Meng Pang

DOI

2025

A Unified Multi-Domain Face Normalization Framework for Cross-Domain Prototype Learning and Heterogeneous Face Recognition

Meng Pang, Wenjun Zhang, Yang Lu, Yiu‐ming Cheung, Nanrun Zhou

IEEE Transactions on Information Forensics and Security

DOI

2025

FacePoseDiff: Hierarchical Diffusion Control for Multi-Pose Face Synthesis with Identity Preservation

Meng Pang, Minhua Xiao, Hanqing Liu, Weihai Shi, Chao Liu

International Conference on Computational Intelligence and Security (CIS)

DOI

2025

A Multimodal In Vitro Diagnostic Method for Parkinson’s Disease Combining Facial Expressions and Behavioral Gait Data

Cognitive Science Society 2025, Wei Huang, J Q Huang, Zhengyu Li, Meng Pang, Yinxuan Xu, Yintao Zhou

Underline Science Inc.

DOI

2024

Early Diagnosing Parkinson's Disease Via a Deep Learning Model Based on Augmented Facial Expression Data

Yintao Zhou, Meng Pang, Wei Huang, Binghui Wang

IEEE International Conference on Acoustics Speech and Signal Processing

DOI

2024

Reconstructing Prototype From Contaminated Face With Variations Across Heterogeneous Domains

Meng Pang, Binghui Wang, Nanrun Zhou, Yintao Zhou, Wei Huang

IEEE International Conference on Multimedia and Expo (ICME)

DOI

2024

Heterogeneous Prototype Learning From Contaminated Faces Across Domains via Disentangling Latent Factors

Meng Pang, Binghui Wang, Mang Ye, Yiu‐ming Cheung, Yintao Zhou, Wei Huang, Bihan Wen

IEEE Transactions on Neural Networks and Learning Systems

DOI

2024

Consistency-GAN: Training GANs with Consistency Model

Yunpeng Wang, Meng Pang, Shengbo Chen, Hong Rao

Proceedings of the AAAI Conference on Artificial Intelligence

DOI

2023

Federated Learning With Heterogeneous Quantization Bit Allocation and Aggregation for Internet of Things

Shengbo Chen, Le Li, Guanghui Wang, Meng Pang, Cong Shen

IEEE Internet of Things Journal

DOI

2023

Turning Strengths into Weaknesses: A Certified Robustness Inspired Attack Framework against Graph Neural Networks

Binghui Wang, Meng Pang, Yun Dong

IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings

DOI

2023

Auto Diagnosis of Parkinson's Disease Via a Deep Learning Model Based on Mixed Emotional Facial Expressions

Wei Huang, Wenqiang Xu, Renjie Wan, Peng Zhang, Yufei Zha, Meng Pang

IEEE Journal of Biomedical and Health Informatics

DOI

2023

Prototype Correction via Contrastive Augmentation for Few-Shot Unconstrained Palmprint Recognition

Kunlei Jing, Xinman Zhang, Chen Zhang, Wanyu Lin, Hebo Ma, Meng Pang, Bihan Wen

IEEE Transactions on Information Forensics and Security

DOI

2022

GraphFL: A Federated Learning Framework for Semi-Supervised Node Classification on Graphs

Binghui Wang, Ang Li, Meng Pang, Hai Helen Li, Yiran Chen

Proceedings

DOI

2022

Facial Expression Guided Diagnosis of Parkinson's Disease via High-Quality Data Augmentation

Wei Huang, Yintao Zhou, Yiu‐ming Cheung, Peng Zhang, Yufei Zha, Meng Pang

IEEE Transactions on Multimedia

DOI

2022

Cross-domain Prototype Learning from Contaminated Faces via Disentangling Latent Factors

Meng Pang, Binghui Wang, Shengbo Chen, Yiu‐ming Cheung, Rong Zou, Wei Huang

Proceedings of the ... ACM International Conference on Information & Knowledge Management

DOI

2022

A Unified Framework for Bidirectional Prototype Learning From Contaminated Faces Across Heterogeneous Domains

Meng Pang, Binghui Wang, Si-Yu Huang, Yiu-Ming Cheung, Bi-Han Wen

IEEE Transactions on Information Forensics and Security

DOI

2021

DisP+V: A Unified Framework for Disentangling Prototype and Variation From Single Sample per Person

Meng Pang, Binghui Wang, Mang Ye, Yiu-Ming Cheung, Yi-Ran Chen, Bi-Han Wen

IEEE Transactions on Neural Networks and Learning Systems

DOI

2021

Disentangling Prototype and Variation for Single Sample Face Recognition

Meng Pang, Binghui Wang, Mang Ye, Yi-Ran Chen, Bi-Han Wen

IEEE International Conference on Multimedia and Expo

DOI

2021

VD-GAN: A Unified Framework for Joint Prototype and Representation Learning From Contaminated Single Sample per Person

Meng Pang, Binghui Wang, Yiu-Ming Cheung, Yi-Ran Chen, Bi-Han Wen

IEEE Transactions on Information Forensics and Security

DOI

2020

Iterative Dynamic Generic Learning For Single Sample Face Recognition With A Contaminated Gallery

Meng Pang, Yiu-Ming Cheung, Qiquan Shi, Meng-Ke Li

IEEE International Conference on Multimedia and Expo

DOI

2020

Iterative Dynamic Generic Learning for Face Recognition From a Contaminated Single-Sample Per Person

Meng Pang, Yiu-Ming Cheung, Qiquan Shi, Meng-Ke Li

IEEE Transactions on Neural Networks and Learning Systems

DOI

2020

Efficient, Direct, and Restricted Black-Box Graph Evasion Attacks to Any-Layer Graph Neural Networks via Influence Function

Binghui Wang, Min-hua Lin, Tianxiang Zhou, Pan Zhou, Ang Li, Meng Pang, H. Li, Yi-Ran Chen

Web Search and Data Mining

DOI

2020

Reinforcement Learning-based Black-Box Evasion Attacks to Link Prediction in Dynamic Graphs

Houxiang Fan, Binghui Wang, Pan Zhou, Ang Li, Meng Pang, Zi-Chuan Xu, Cai Fu, H. Li, Yi-Ran Chen

2021 IEEE 23rd Int Conf on High Performance Computing & Communications; 7th Int Conf on Data Science & Systems; 19th Int Conf on Smart City; 7th Int Conf on Dependability in Sensor, Cloud & Big Data Systems & Application (HPCC/DSS/SmartCity/DependSys)

DOI

2020

Synergistic Generic Learning for Face Recognition From a Contaminated Single Sample per Person

Meng Pang, Yiu-ming Cheung, Binghui Wang, Jian Lou

IEEE Transactions on Information Forensics and Security

DOI

2019

Robust heterogeneous discriminative analysis for face recognition with single sample per person

Meng Pang, Yiu-ming Cheung, Binghui Wang, Risheng Liu

Pattern Recognition

DOI

2019

Toward Efficient Image Representation: Sparse Concept Discriminant Matrix Factorization

Meng Pang, Yiu-ming Cheung, Risheng Liu, Jian Lou, Chuang Lin

IEEE transactions on circuits and systems for video technology (Print)

DOI

2019

Single sample face recognition under complex environment

Meng Pang

2017

Robust Heterogeneous Discriminative Analysis for Single Sample Per Person Face Recognition

Meng Pang, Yiu-ming Cheung, Binghui Wang, Risheng Liu

International Conference on Information and Knowledge Management

DOI

2017

Discriminant Manifold Learning via Sparse Coding for Robust Feature Extraction

Meng Pang, Binghui Wang, Yiu-ming Cheung, Chuang Lin

IEEE Access

DOI

2016

Discriminant Manifold Learning via Sparse Coding for Image Analysis

Meng Pang, Binghui Wang, Xin Fan, Chuang Lin

Conference on Multimedia Modeling

DOI

2015

Two dimensional discriminant neighborhood preserving embedding in face recognition

Meng Pang, Ji-Feng Jiang, Chuang Lin, Binghui Wang

International Conference on Graphic and Image Processing

DOI

2015

Sparse concept discriminant matrix factorization for image representation

Meng Pang, Chuang Lin, Risheng Liu, Xin Fan, Ji-Feng Jiang, Zhong-Xuan Luo

International Conference on Information Photonics

DOI

2015

Supervised Kernel Optimized Locality Preserving Projection with Its Application to Face Recognition and Palm Biometrics

Chuang Lin, Ji-Feng Jiang, Xue-Feng Zhao, Meng Pang, Yanchun Ma

DOI

2015

Sparse cocept discriminant Matrix Factorizaton

Zhong-Xuan Luo, Chuang Lin, Meng Pang, Xin Fan, Ji-Feng Jiang, Risheng Liu

2015

Graph Regularized Nonnegative Matrix Factorization with Sparse Coding

Lin Chuang, Meng Pang

DOI

2013

Graph regularized non-negative matrix factorization with sparse coding

Binghui Wang, Meng Pang, Chuang Lin, Xin Fan

2013 IEEE China Summit and International Conference on Signal and Information Processing

DOI

2013

Optimizing Kernel PCA Using Sparse Representation-Based Classifier for MSTAR SAR Image Target Recognition

Chuang Lin, Binghui Wang, Xue-Feng Zhao, Meng Pang

DOI

精选作品

期刊论文

基于ControlNet实现人脸多姿态实验设计

基于对抗攻击防御的人脸原型重建综合教学实验

Diffusion-Driven Facial Expression Synthesis and Multi-Scale Feature Fusion: Advancing Early Diagnosis of Parkinson’s Disease

基于Prompt与ControlNet协同的人脸姿态转向方法

A Tri-Factor Adaptive Federated Learning Framework for Parkinson’s Disease Diagnosis via Multi-Source Facial Expression Analysis

UMFN: Unified Multi-Domain Face Normalization for Joint Cross-domain Prototype Learning and Heterogeneous Face Recognition

Breaking Data Silos in Parkinson’s Disease Diagnosis: An Adaptive Federated Learning Approach for Privacy-Preserving Facial Expression Analysis

Defense Mechanism Driven Face Prototype Reconstruction: A Robust Framework against Adversarial Perturbations

Multi-View Asymmetric Self-Distillation for Chest X-Ray Vision-Language Understanding

Facial Expression-Based Parkinson's Disease Severity Diagnosis Via Feature Fusion and Adaptive Class Balancing

A Unified Multi-Domain Face Normalization Framework for Cross-Domain Prototype Learning and Heterogeneous Face Recognition

FacePoseDiff: Hierarchical Diffusion Control for Multi-Pose Face Synthesis with Identity Preservation

A Multimodal In Vitro Diagnostic Method for Parkinson’s Disease Combining Facial Expressions and Behavioral Gait Data

Early Diagnosing Parkinson's Disease Via a Deep Learning Model Based on Augmented Facial Expression Data

Reconstructing Prototype From Contaminated Face With Variations Across Heterogeneous Domains

Heterogeneous Prototype Learning From Contaminated Faces Across Domains via Disentangling Latent Factors

Consistency-GAN: Training GANs with Consistency Model

Federated Learning With Heterogeneous Quantization Bit Allocation and Aggregation for Internet of Things

Turning Strengths into Weaknesses: A Certified Robustness Inspired Attack Framework against Graph Neural Networks

Auto Diagnosis of Parkinson's Disease Via a Deep Learning Model Based on Mixed Emotional Facial Expressions

Prototype Correction via Contrastive Augmentation for Few-Shot Unconstrained Palmprint Recognition

GraphFL: A Federated Learning Framework for Semi-Supervised Node Classification on Graphs

Facial Expression Guided Diagnosis of Parkinson's Disease via High-Quality Data Augmentation

Cross-domain Prototype Learning from Contaminated Faces via Disentangling Latent Factors

A Unified Framework for Bidirectional Prototype Learning From Contaminated Faces Across Heterogeneous Domains

DisP+V: A Unified Framework for Disentangling Prototype and Variation From Single Sample per Person

Disentangling Prototype and Variation for Single Sample Face Recognition

VD-GAN: A Unified Framework for Joint Prototype and Representation Learning From Contaminated Single Sample per Person

Iterative Dynamic Generic Learning For Single Sample Face Recognition With A Contaminated Gallery

Iterative Dynamic Generic Learning for Face Recognition From a Contaminated Single-Sample Per Person

Efficient, Direct, and Restricted Black-Box Graph Evasion Attacks to Any-Layer Graph Neural Networks via Influence Function

Reinforcement Learning-based Black-Box Evasion Attacks to Link Prediction in Dynamic Graphs

Synergistic Generic Learning for Face Recognition From a Contaminated Single Sample per Person

Robust heterogeneous discriminative analysis for face recognition with single sample per person

Toward Efficient Image Representation: Sparse Concept Discriminant Matrix Factorization

Single sample face recognition under complex environment

Robust Heterogeneous Discriminative Analysis for Single Sample Per Person Face Recognition

Discriminant Manifold Learning via Sparse Coding for Robust Feature Extraction

Discriminant Manifold Learning via Sparse Coding for Image Analysis

Two dimensional discriminant neighborhood preserving embedding in face recognition

Sparse concept discriminant matrix factorization for image representation

Supervised Kernel Optimized Locality Preserving Projection with Its Application to Face Recognition and Palm Biometrics

Sparse cocept discriminant Matrix Factorizaton

Graph Regularized Nonnegative Matrix Factorization with Sparse Coding

Graph regularized non-negative matrix factorization with sparse coding

Optimizing Kernel PCA Using Sparse Representation-Based Classifier for MSTAR SAR Image Target Recognition

预印本

A Learning-Based Attack Framework to Break SOTA Poisoning Defenses in Federated Learning

研究方向