Kailai Li

According to our database, Kailai Li authored at least 6 papers between 2020 and 2025.

Collaborative distances:

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

2025

ESFL: Accelerating Poisonous Model Detection in Privacy-Preserving Federated Learning.

Honghong Zeng, Jiong Lou, Kailai Li, Chentao Wu, Guangtao Xue, Yuan Luo, Fan Cheng, Wei Zhao, Jie Li

IEEE Trans. Dependable Secur. Comput., 2025

GD$^2$: Robust Graph Learning under Label Noise via Dual-View Prediction Discrepancy.

Kailai Li, Jiong Lou, Jiawei Sun, Honghong Zeng, Wen Li, Chentao Wu, Yuan Luo, Wei Zhao, Shouguo Du, Jie Li

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Leveraging Peer-Informed Label Consistency for Robust Graph Neural Networks with Noisy Labels.

Kailai Li, Jiawei Sun, Jiong Lou, Zhanbo Feng, Hefeng Zhou, Chentao Wu, Guangtao Xue, Wei Zhao, Jie Li

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

2024

InterpGNN: Understand and Improve Generalization Ability of Transdutive GNNs through the Lens of Interplay between Train and Test Nodes.

Jiawei Sun, Kailai Li, Ruoxin Chen, Jie Li, Chentao Wu, Yue Ding, Junchi Yan

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Towards Practical Edge Inference Attacks Against Graph Neural Networks.

Kailai Li, Jiawei Sun, Ruoxin Chen, Wei Ding, Kexue Yu, Jie Li, Chentao Wu

Proceedings of the IEEE International Conference on Acoustics, 2023

2020

SMARTSHIELD: Automatic Smart Contract Protection Made Easy.

Yuyao Zhang, Siqi Ma, Juanru Li, Kailai Li, Surya Nepal, Dawu Gu

Proceedings of the 27th IEEE International Conference on Software Analysis, 2020