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Meng Pang
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2020 – today
- 2024
- [j23]Meng Pang
, Fengjuan Wang, Zhe Li
Credit risk prediction based on an interpretable three-way decision method: Evidence from Chinese SMEs. Appl. Soft Comput. 157: 111538 (2024) - [j22]Shengbo Chen
Federated Learning With Heterogeneous Quantization Bit Allocation and Aggregation for Internet of Things. IEEE Internet Things J. 11(2): 3132-3143 (2024) - [j21]Peng Qu, Xing-Long Ji, Jia-Jie Chen, Meng Pang, Yuchen Li, Xiao-Yi Liu, You-Hui Zhang:
Research on General-Purpose Brain-Inspired Computing Systems. J. Comput. Sci. Technol. 39(2): 4-21 (2024) - [j20]Nanrun Zhou, Jibin Deng
Recovering a clean background: A parallel deep network architecture for single-image deraining. Pattern Recognit. Lett. 178: 153-159 (2024) - [j19]Wuyong Tao
A Local Shape Descriptor Designed for Registration of Terrestrial Point Clouds. IEEE Trans. Geosci. Remote. Sens. 62: 1-13 (2024) - [j18]Wei Huang
Auto Diagnosis of Parkinson's Disease Via a Deep Learning Model Based on Mixed Emotional Facial Expressions. IEEE J. Biomed. Health Informatics 28(5): 2547-2557 (2024) - [c17]Yunpeng Wang, Meng Pang, Shengbo Chen, Hong Rao:
Consistency-GAN: Training GANs with Consistency Model. AAAI 2024: 15743-15751 - [c16]Yintao Zhou, Meng Pang, Wei Huang, Binghui Wang:
Early Diagnosing Parkinson's Disease Via a Deep Learning Model Based on Augmented Facial Expression Data. ICASSP 2024: 1621-1625 - [c15]Meng Pang, Binghui Wang, Nanrun Zhou, Yintao Zhou, Wei Huang:
Reconstructing Prototype From Contaminated Face With Variations Across Heterogeneous Domains. ICME 2024: 1-6 - [c14]Jiate Li, Meng Pang, Yun Dong, Jinyuan Jia, Binghui Wang:
Graph Neural Network Explanations are Fragile. ICML 2024 - [c13]Meng Pang
A Row Decomposition-based Approach for Sparse Matrix Multiplication on GPUs. PPoPP 2024: 377-389 - [c12]Binghui Wang
Efficient, Direct, and Restricted Black-Box Graph Evasion Attacks to Any-Layer Graph Neural Networks via Influence Function. WSDM 2024: 693-701 - [i6]Jiate Li, Meng Pang, Yun Dong, Jinyuan Jia, Binghui Wang:
Graph Neural Network Explanations are Fragile. CoRR abs/2406.03193 (2024) - [i5]Yuxin Yang, Qiang Li, Chenfei Nie, Yuan Hong, Meng Pang, Binghui Wang:
A Learning-Based Attack Framework to Break SOTA Poisoning Defenses in Federated Learning. CoRR abs/2407.15267 (2024) - [i4]Zifan Wang, Binghui Zhang, Meng Pang, Yuan Hong, Binghui Wang:
Understanding Data Reconstruction Leakage in Federated Learning from a Theoretical Perspective. CoRR abs/2408.12119 (2024) - 2023
- [j17]Meng Pang, Limin Wang, Qilong Li, Lu Guo, Kuo Li:
Learning bayesian multinets from labeled and unlabeled data for knowledge representation. Intell. Data Anal. 27(6): 1699-1723 (2023) - [j16]Wuyong Tao
A Distinctive Binary Descriptor and Two-Point RANSACWC for Point Cloud Registration. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16: 7529-7542 (2023) - [j15]Kunlei Jing
Prototype Correction via Contrastive Augmentation for Few-Shot Unconstrained Palmprint Recognition. IEEE Trans. Inf. Forensics Secur. 18: 5431-5446 (2023) - [j14]Wei Huang
Facial Expression Guided Diagnosis of Parkinson's Disease via High-Quality Data Augmentation. IEEE Trans. Multim. 25: 7037-7050 (2023) - [j13]Meng Pang
DisP+V: A Unified Framework for Disentangling Prototype and Variation From Single Sample per Person. IEEE Trans. Neural Networks Learn. Syst. 34(2): 867-881 (2023) - [j12]Peng Qu
ENLARGE: An Efficient SNN Simulation Framework on GPU Clusters. IEEE Trans. Parallel Distributed Syst. 34(9): 2529-2540 (2023) - [c11]Binghui Wang, Meng Pang, Yun Dong:
Turning Strengths into Weaknesses: A Certified Robustness Inspired Attack Framework against Graph Neural Networks. CVPR 2023: 16394-16403 - [c10]Meng Pang, Yuchen Li, Zhaolin Li, Youhui Zhang:
FABLE: A Development and Computing Framework for Brain-inspired Learning Algorithms. IJCNN 2023: 1-10 - [i3]Binghui Wang, Meng Pang, Yun Dong:
Turning Strengths into Weaknesses: A Certified Robustness Inspired Attack Framework against Graph Neural Networks. CoRR abs/2303.06199 (2023) - 2022
- [j11]Yi Ren, LiMin Wang, XiongFei Li, Meng Pang, JunYang Wei:
Stochastic optimization for bayesian network classifiers. Appl. Intell. 52(13): 15496-15516 (2022) - [j10]Limin Wang, Jiaping Zhou, Junyang Wei, Meng Pang, Minghui Sun:
Learning causal Bayesian networks based on causality analysis for classification. Eng. Appl. Artif. Intell. 114: 105212 (2022) - [j9]Limin Wang
Alleviating the attribute conditional independence and I.I.D. assumptions of averaged one-dependence estimator by double weighting. Knowl. Based Syst. 250: 109078 (2022) - [j8]Meng Pang
A Unified Framework for Bidirectional Prototype Learning From Contaminated Faces Across Heterogeneous Domains. IEEE Trans. Inf. Forensics Secur. 17: 1544-1557 (2022) - [c9]Meng Pang, Binghui Wang, Shengbo Chen, Yiu-ming Cheung, Rong Zou, Wei Huang:
Cross-domain Prototype Learning from Contaminated Faces via Disentangling Latent Factors. CIKM 2022: 4369-4373 - [c8]Binghui Wang, Ang Li, Meng Pang, Hai Li, Yiran Chen:
GraphFL: A Federated Learning Framework for Semi-Supervised Node Classification on Graphs. ICDM 2022: 498-507 - 2021
- [j7]Meng Pang
VD-GAN: A Unified Framework for Joint Prototype and Representation Learning From Contaminated Single Sample per Person. IEEE Trans. Inf. Forensics Secur. 16: 2246-2259 (2021) - [j6]Meng Pang
Iterative Dynamic Generic Learning for Face Recognition From a Contaminated Single-Sample Per Person. IEEE Trans. Neural Networks Learn. Syst. 32(4): 1560-1574 (2021) - [c7]Meng Pang, Binghui Wang, Mang Ye, Yiran Chen, Bihan Wen
Disentangling Prototype and Variation for Single Sample Face Recognition. ICME 2021: 1-6 - 2020
- [j5]Zheng Chen, Meng Pang, Zixin Zhao, Shuainan Li, Rui Miao, Yifan Zhang, Xiaoyue Feng, Xin Feng, Yexian Zhang, Meiyu Duan
Feature selection may improve deep neural networks for the bioinformatics problems. Bioinform. 36(5): 1542-1552 (2020) - [j4]Meng Pang
Synergistic Generic Learning for Face Recognition From a Contaminated Single Sample per Person. IEEE Trans. Inf. Forensics Secur. 15: 195-209 (2020) - [c6]Meng Pang, Yiu-ming Cheung, Qiquan Shi, Mengke Li:
Iterative Dynamic Generic Learning For Single Sample Face Recognition With A Contaminated Gallery. ICME 2020: 1-6 - [i2]Houxiang Fan, Binghui Wang, Pan Zhou, Ang Li, Meng Pang, Zichuan Xu, Cai Fu, Hai Li, Yiran Chen:
Reinforcement Learning-based Black-Box Evasion Attacks to Link Prediction in Dynamic Graphs. CoRR abs/2009.00163 (2020) - [i1]Binghui Wang, Tianxiang Zhou, Minhua Lin, Pan Zhou, Ang Li, Meng Pang, Cai Fu, Hai Li, Yiran Chen:
Evasion Attacks to Graph Neural Networks via Influence Function. CoRR abs/2009.00203 (2020)
2010 – 2019
- 2019
- [j3]Meng Pang
Robust heterogeneous discriminative analysis for face recognition with single sample per person. Pattern Recognit. 89: 91-107 (2019) - [j2]Meng Pang
Toward Efficient Image Representation: Sparse Concept Discriminant Matrix Factorization. IEEE Trans. Circuits Syst. Video Technol. 29(11): 3184-3198 (2019) - 2017
- [j1]Meng Pang
Discriminant Manifold Learning via Sparse Coding for Robust Feature Extraction. IEEE Access 5: 13978-13991 (2017) - [c5]Meng Pang, Yiu-ming Cheung
Robust Heterogeneous Discriminative Analysis for Single Sample Per Person Face Recognition. CIKM 2017: 2251-2254 - 2016
- [c4]Meng Pang, Binghui Wang, Xin Fan, Chuang Lin:
Discriminant Manifold Learning via Sparse Coding for Image Analysis. MMM (2) 2016: 244-255 - 2015
- [c3]Meng Pang, Wenbin He, Philip St. J. Russell:
Programmable generation and storage of soliton sequences in fibre laser cavity locked to gigahertz core resonance in PCF. ECOC 2015: 1-3 - [c2]Meng Pang, Chuang Lin, Risheng Liu, Xin Fan, Jifeng Jiang, Zhongxuan Luo:
Sparse concept discriminant matrix factorization for image representation. ICIP 2015: 1255-1259 - 2013
- [c1]Binghui Wang, Meng Pang, Chuang Lin, Xin Fan:
Graph regularized non-negative matrix factorization with sparse coding. ChinaSIP 2013: 476-480
Coauthor Index
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last updated on 2024-11-05 20:55 CET by the dblp team
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