| 2025 | AAAI | Practicable Black-Box Evasion Attacks on Link Prediction in Dynamic Graphs - a Graph Sequential Embedding Method. | Jiate Li, Meng Pang, Binghui Wang |
| 2025 | AAAI | 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 Huang, Binghui Wang |
| 2025 | CogSci | A Multimodal In Vitro Diagnostic Method for Parkinson's Disease Combining Facial Expressions and Behavioral Gait Data. | Wei Huang, Yinxuan Xu, Yintao Zhou, Zhengyu Li, Jing Huang, Meng Pang |
| 2025 | CVPR | Deterministic Certification of Graph Neural Networks against Graph Poisoning Attacks with Arbitrary Perturbations. | Jiate Li, Meng Pang, Yun Dong, Binghui Wang |
| 2025 | CVPR | 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 |
| 2025 | ICCV | You are Your Own Best Teacher: Achieving Centralized-level Performance in Federated Learning under Heterogeneous and Long-Tailed Data. | Shanshan Yan, Zexi Li, Chao Wu, Meng Pang, Yang Lu, Yan Yan, Hanzi Wang |
| 2025 | ICLR | Provably Robust Explainable Graph Neural Networks against Graph Perturbation Attacks. | Jiate Li, Meng Pang, Yun Dong, Jinyuan Jia, Binghui Wang |
| 2024 | AAAI | Consistency-GAN: Training GANs with Consistency Model. | Yunpeng Wang, Meng Pang, Shengbo Chen, Hong Rao |
| 2024 | ICASSP | Early Diagnosing Parkinson's Disease Via a Deep Learning Model Based on Augmented Facial Expression Data. | Yintao Zhou, Meng Pang, Wei Huang, Binghui Wang |
| 2024 | ICML | Graph Neural Network Explanations are Fragile. | Jiate Li, Meng Pang, Yun Dong, Jinyuan Jia, Binghui Wang |
| 2024 | PPoPP | A Row Decomposition-based Approach for Sparse Matrix Multiplication on GPUs. | Meng Pang, Xiang Fei, Peng Qu, Youhui Zhang, Zhaolin Li |
| 2024 | WSDM | 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 |
| 2023 | CVPR | Turning Strengths into Weaknesses: A Certified Robustness Inspired Attack Framework against Graph Neural Networks. | Binghui Wang, Meng Pang, Yun Dong |
| 2023 | IJCNN | FABLE: A Development and Computing Framework for Brain-inspired Learning Algorithms. | Meng Pang, Yuchen Li, Zhaolin Li, Youhui Zhang |
| 2022 | CIKM | Cross-domain Prototype Learning from Contaminated Faces via Disentangling Latent Factors. | Meng Pang, Binghui Wang, Shengbo Chen, Yiu-ming Cheung, Rong Zou, Wei Huang |
| 2022 | ICDM | GraphFL: A Federated Learning Framework for Semi-Supervised Node Classification on Graphs. | Binghui Wang, Ang Li, Meng Pang, Hai Li, Yiran Chen |
| 2017 | CIKM | Robust Heterogeneous Discriminative Analysis for Single Sample Per Person Face Recognition. | Meng Pang, Yiu-ming Cheung, Binghui Wang, Risheng Liu |
| 2016 | MMM | Discriminant Manifold Learning via Sparse Coding for Image Analysis. | Meng Pang, Binghui Wang, Xin Fan, Chuang Lin |
| 2015 | ICIP | Sparse concept discriminant matrix factorization for image representation. | Meng Pang, Chuang Lin, Risheng Liu, Xin Fan, Jifeng Jiang, Zhongxuan Luo |