Xiawei Guo

According to our database, Xiawei Guo authored at least 11 papers between 2016 and 2023.

Collaborative distances:

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

2023

Combating Bilateral Edge Noise for Robust Link Prediction.

Zhanke Zhou, Jiangchao Yao, Jiaxu Liu, Xiawei Guo, Quanming Yao, Li He, Liang Wang, Bo Zheng, Bo Han

CoRR, 2023

Combating Bilateral Edge Noise for Robust Link Prediction.

Zhanke Zhou, Jiangchao Yao, Jiaxu Liu, Xiawei Guo, Quanming Yao, LI He, Liang Wang, Bo Zheng, Bo Han

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Exploring Model Dynamics for Accumulative Poisoning Discovery.

Jianing Zhu, Xiawei Guo, Jiangchao Yao, Chao Du, Li He, Shuo Yuan, Tongliang Liu, Liang Wang, Bo Han

Proceedings of the International Conference on Machine Learning, 2023

2021

TabGNN: Multiplex Graph Neural Network for Tabular Data Prediction.

Xiawei Guo, Yuhan Quan, Huan Zhao, Quanming Yao, Yong Li, Weiwei Tu

CoRR, 2021

Task-wise Split Gradient Boosting Trees for Multi-center Diabetes Prediction.

Mingcheng Chen, Zhenghui Wang, Zhiyun Zhao, Weinan Zhang, Xiawei Guo, Jian Shen, Yanru Qu, Jieli Lu, Min Xu, Yu Xu, Tiange Wang, Mian Li, Weiwei Tu, Yong Yu, Yufang Bi, Weiqing Wang, Guang Ning

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

2020

Privacy-Preserving Stacking with Application to Cross-organizational Diabetes Prediction.

Xiawei Guo, Quanming Yao, James T. Kwok, Wei-Wei Tu, Yuqiang Chen, Wenyuan Dai, Qiang Yang

Proceedings of the Federated Learning - Privacy and Incentive, 2020

AutoSpeech 2020: The Second Automated Machine Learning Challenge for Speech Classification.

Jingsong Wang, Tom Ko, Zhen Xu, Xiawei Guo, Souxiang Liu, Wei-Wei Tu, Lei Xie

Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

2019

Privacy-Preserving Stacking with Application to Cross-organizational Diabetes Prediction.

Quanming Yao, Xiawei Guo, James T. Kwok, Wei-Wei Tu, Yuqiang Chen, Wenyuan Dai, Qiang Yang

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2018

Privacy-preserving Transfer Learning for Knowledge Sharing.

Xiawei Guo, Quanming Yao, Wei-Wei Tu, Yuqiang Chen, Wenyuan Dai, Qiang Yang

CoRR, 2018

2017

Efficient Sparse Low-Rank Tensor Completion Using the Frank-Wolfe Algorithm.

Xiawei Guo, Quanming Yao, James Tin-Yau Kwok

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Aggregating Crowdsourced Ordinal Labels via Bayesian Clustering.

Xiawei Guo, James T. Kwok

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016