Meng Pang

According to our database, Meng Pang authored at least 44 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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 J. Biomed. Health Informatics, May, 2024

Research on General-Purpose Brain-Inspired Computing Systems.

Peng Qu, Xing-Long Ji, Jia-Jie Chen, Meng Pang, Yuchen Li, Xiaoyi Liu, You-Hui Zhang

J. Comput. Sci. Technol., March, 2024

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 Things J., January, 2024

A Local Shape Descriptor Designed for Registration of Terrestrial Point Clouds.

Wuyong Tao, Tieding Lu, Xijiang Chen, Zhiping Chen, Wei Li, Meng Pang

IEEE Trans. Geosci. Remote. Sens., 2024

Recovering a clean background: A parallel deep network architecture for single-image deraining.

Nanrun Zhou, Jibin Deng, Meng Pang

Pattern Recognit. Lett., 2024

Understanding Data Reconstruction Leakage in Federated Learning from a Theoretical Perspective.

Zifan Wang, Binghui Zhang, Meng Pang, Yuan Hong, Binghui Wang

CoRR, 2024

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

Yuxin Yang, Qiang Li, Chenfei Nie, Yuan Hong, Meng Pang, Binghui Wang

CoRR, 2024

Credit risk prediction based on an interpretable three-way decision method: Evidence from Chinese SMEs.

Meng Pang, Fengjuan Wang, Zhe Li

Appl. Soft Comput., 2024

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

Binghui Wang, Minhua Lin, Tianxiang Zhou, Pan Zhou, Ang Li, Meng Pang, Hai Helen Li, Yiran Chen

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

A Row Decomposition-based Approach for Sparse Matrix Multiplication on GPUs.

Meng Pang, Xiang Fei, Peng Qu, Youhui Zhang, Zhaolin Li

Proceedings of the 29th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming, 2024

Graph Neural Network Explanations are Fragile.

Jiate Li, Meng Pang, Yun Dong, Jinyuan Jia, Binghui Wang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Reconstructing Prototype From Contaminated Face With Variations Across Heterogeneous Domains.

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

Proceedings of the IEEE International Conference on Multimedia and Expo, 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

Proceedings of the IEEE International Conference on Acoustics, 2024

Consistency-GAN: Training GANs with Consistency Model.

Yunpeng Wang, Meng Pang, Shengbo Chen, Hong Rao

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

2023

ENLARGE: An Efficient SNN Simulation Framework on GPU Clusters.

Peng Qu, Hui Lin, Meng Pang, Xiaofei Liu, Weimin Zheng, Youhui Zhang

IEEE Trans. Parallel Distributed Syst., September, 2023

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

Meng Pang, Binghui Wang, Mang Ye, Yiu-ming Cheung, Yiran Chen, Bihan Wen

IEEE Trans. Neural Networks Learn. Syst., February, 2023

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 Trans. Multim., 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 Trans. Inf. Forensics Secur., 2023

A Distinctive Binary Descriptor and Two-Point RANSACWC for Point Cloud Registration.

Wuyong Tao, Shaoping Xu, Wei Huang, Shufan Hu, Meng Pang

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023

Learning bayesian multinets from labeled and unlabeled data for knowledge representation.

Meng Pang, Limin Wang, Qilong Li, Lu Guo, Kuo Li

Intell. Data Anal., 2023

FABLE: A Development and Computing Framework for Brain-inspired Learning Algorithms.

Meng Pang, Yuchen Li, Zhaolin Li, Youhui Zhang

Proceedings of the International Joint Conference on Neural Networks, 2023

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

Binghui Wang, Meng Pang, Yun Dong

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.

Meng Pang, Binghui Wang, Siyu Huang, Yiu-Ming Cheung, Bihan Wen

IEEE Trans. Inf. Forensics Secur., 2022

Alleviating the attribute conditional independence and I.I.D. assumptions of averaged one-dependence estimator by double weighting.

Limin Wang, Yibin Xie, Meng Pang, Junyang Wei

Knowl. Based Syst., 2022

Learning causal Bayesian networks based on causality analysis for classification.

Limin Wang, Jiaping Zhou, Junyang Wei, Meng Pang, Minghui Sun

Eng. Appl. Artif. Intell., 2022

Stochastic optimization for bayesian network classifiers.

Yi Ren, LiMin Wang, XiongFei Li, Meng Pang, JunYang Wei

Appl. Intell., 2022

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

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

Proceedings of the IEEE International Conference on Data Mining, 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 31st ACM International Conference on Information & Knowledge Management, 2022

2021

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

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

IEEE Trans. Neural Networks Learn. Syst., 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, Yiran Chen, Bihan Wen

IEEE Trans. Inf. Forensics Secur., 2021

Disentangling Prototype and Variation for Single Sample Face Recognition.

Meng Pang, Binghui Wang, Mang Ye, Yiran Chen, Bihan Wen

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.

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

IEEE Trans. Inf. Forensics Secur., 2020

Evasion Attacks to Graph Neural Networks via Influence Function.

Binghui Wang, Tianxiang Zhou, Minhua Lin, Pan Zhou, Ang Li, Meng Pang, Cai Fu, Hai Li, Yiran Chen

CoRR, 2020

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

Houxiang Fan, Binghui Wang, Pan Zhou, Ang Li, Meng Pang, Zichuan Xu, Cai Fu, Hai Li, Yiran Chen

CoRR, 2020

Feature selection may improve deep neural networks for the bioinformatics problems.

Zheng Chen, Meng Pang, Zixin Zhao, Shuainan Li, Rui Miao, Yifan Zhang, Xiaoyue Feng, Xin Feng, Yexian Zhang, Meiyu Duan, Lan Huang, Fengfeng Zhou

Bioinform., 2020

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

Meng Pang, Yiu-ming Cheung, Qiquan Shi, Mengke Li

Proceedings of the IEEE International Conference on Multimedia and Expo, 2020

2019

Toward Efficient Image Representation: Sparse Concept Discriminant Matrix Factorization.

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

IEEE Trans. Circuits Syst. Video Technol., 2019

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

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

Pattern Recognit., 2019

2017

Discriminant Manifold Learning via Sparse Coding for Robust Feature Extraction.

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

IEEE Access, 2017

Robust Heterogeneous Discriminative Analysis for Single Sample Per Person Face Recognition.

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

Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

2016

Discriminant Manifold Learning via Sparse Coding for Image Analysis.

Meng Pang, Binghui Wang, Xin Fan, Chuang Lin

Proceedings of the MultiMedia Modeling - 22nd International Conference, 2016

2015

Sparse concept discriminant matrix factorization for image representation.

Meng Pang, Chuang Lin, Risheng Liu, Xin Fan, Jifeng Jiang, Zhongxuan Luo

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.

Meng Pang, Wenbin He, Philip St. J. Russell

Proceedings of the European Conference on Optical Communication, 2015

2013

Graph regularized non-negative matrix factorization with sparse coding.

Binghui Wang, Meng Pang, Chuang Lin, Xin Fan

Proceedings of the 2013 IEEE China Summit and International Conference on Signal and Information Processing, 2013