Suivre
Guancheng Wan
Guancheng Wan
Undergraduate of Computer Science, Wuhan University
Adresse e-mail validée de whu.edu.cn - Page d'accueil
Titre
Citée par
Citée par
Année
Federated Learning for Generalization, Robustness, Fairness: A Survey and Benchmark
W Huang, M Ye, Z Shi, G Wan, H Li, B Du, Q Yang
IEEE TPAMI, 2024
552024
Federated Graph Semantic and Structural Learning
W Huang*, G Wan*, M Ye, B Du
IJCAI, 2023
382023
A Review of Graph Neural Networks in Epidemic Modeling
Z Liu*, G Wan*, BA Prakash, MSY Lau, W Jin
KDD, 2024
322024
Federated graph learning under domain shift with generalizable prototypes
G Wan, W Huang, M Ye
AAAI 38 (14), 15429-15437, 2024
262024
S3GCL: Spectral, Swift, Spatial Graph Contrastive Learning
G Wan, Y Tian, W Huang, NV Chawla, M Ye
ICML, 2024, 2024
11*2024
G-designer: Architecting multi-agent communication topologies via graph neural networks
G Zhang, Y Yue, X Sun, G Wan, M Yu, J Fang, K Wang, D Cheng
arXiv preprint arXiv:2410.11782, 2024
42024
FedSSP: Federated Graph Learning with Spectral Knowledge and Personalized Preference
Z Tan*, G Wan*, W Huang, M Ye
NeurIPS, 2024, 2024
32024
Cut the crap: An economical communication pipeline for llm-based multi-agent systems
G Zhang, Y Yue, Z Li, S Yun, G Wan, K Wang, D Cheng, JX Yu, T Chen
arXiv preprint arXiv:2410.02506, 2024
32024
Epidemiology-Aware Neural ODE with Continuous Disease Transmission Graph
G Wan, Z Liu, MSY Lau, BA Prakash, W Jin
arXiv preprint arXiv:2410.00049, 2024
32024
A Federated Learning for Generalization
W Huang, M Ye, Z Shi, G Wan, H Li, B Du, Q Yang
Robustness, Fairness: A Survey and Benchmark. arXiv, 2023
32023
Learn from Downstream and Be Yourself in Multimodal Large Language Model Fine-Tuning
W Huang, J Liang, Z Shi, D Zhu, G Wan, H Li, B Du, D Tao, M Ye
arXiv preprint arXiv:2411.10928, 2024
22024
EpiLearn: A Python Library for Machine Learning in Epidemic Modeling
Z Liu, Y Li, M Wei, G Wan, MSY Lau, W Jin
arXiv preprint arXiv:2406.06016, 2024
22024
Parameter Disparities Dissection for Backdoor Defense in Heterogeneous Federated Learning
W Huang, M Ye, Z Shi, G Wan, H Li, B Du
The Thirty-eighth Annual Conference on Neural Information Processing Systems, 2024
12024
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