Xiawei Guo

Publication Activity (10 Years)

Years Active: 2016-2023
Publications (10 Years): 13

Top Topics

Machine Learning

Link Prediction

Top Venues

Publications

Zhanke Zhou, Jiangchao Yao, Jiaxu Liu, Xiawei Guo, Quanming Yao, LI He, Liang Wang, Bo Zheng, Bo Han
Combating Bilateral Edge Noise for Robust Link Prediction. NeurIPS (2023)
Jianing Zhu, Xiawei Guo, Jiangchao Yao, Chao Du, Li He, Shuo Yuan, Tongliang Liu, Liang Wang, Bo Han
Exploring Model Dynamics for Accumulative Poisoning Discovery. CoRR (2023)
Zhanke Zhou, Jiangchao Yao, Jiaxu Liu, Xiawei Guo, Quanming Yao, Li He, Liang Wang, Bo Zheng, Bo Han
Combating Bilateral Edge Noise for Robust Link Prediction. CoRR (2023)
Jianing Zhu, Xiawei Guo, Jiangchao Yao, Chao Du, Li He, Shuo Yuan, Tongliang Liu, Liang Wang, Bo Han
Exploring Model Dynamics for Accumulative Poisoning Discovery. ICML (2023)
Xiawei Guo, Yuhan Quan, Huan Zhao, Quanming Yao, Yong Li, Weiwei Tu
TabGNN: Multiplex Graph Neural Network for Tabular Data Prediction. CoRR (2021)
Mingcheng Chen, Zhenghui Wang, Zhiyun Zhao, Weinan Zhang, Xiawei Guo, Jian Shen, Yanru Qu, Jieli Lu, Min Xu, Yu Xu, Tiange Wang, Mian Li, Wei-Wei Tu, Yong Yu, Yufang Bi, Weiqing Wang, Guang Ning
Task-wise Split Gradient Boosting Trees for Multi-center Diabetes Prediction. CoRR (2021)
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
Task-wise Split Gradient Boosting Trees for Multi-center Diabetes Prediction. KDD (2021)
Jingsong Wang, Tom Ko, Zhen Xu, Xiawei Guo, Souxiang Liu, Wei-Wei Tu, Lei Xie
AutoSpeech 2020: The Second Automated Machine Learning Challenge for Speech Classification. INTERSPEECH (2020)
Jingsong Wang, Tom Ko, Zhen Xu, Xiawei Guo, Souxiang Liu, Wei-Wei Tu, Lei Xie
AutoSpeech 2020: The Second Automated Machine Learning Challenge for Speech Classification. CoRR (2020)
Quanming Yao, Xiawei Guo, James T. Kwok, Wei-Wei Tu, Yuqiang Chen, Wenyuan Dai, Qiang Yang
Privacy-Preserving Stacking with Application to Cross-organizational Diabetes Prediction. IJCAI (2019)
Xiawei Guo, Quanming Yao, Wei-Wei Tu, Yuqiang Chen, Wenyuan Dai, Qiang Yang
Privacy-preserving Transfer Learning for Knowledge Sharing. CoRR (2018)
Xiawei Guo, Quanming Yao, James Tin-Yau Kwok
Efficient Sparse Low-Rank Tensor Completion Using the Frank-Wolfe Algorithm. AAAI (2017)
Xiawei Guo, James T. Kwok
Aggregating Crowdsourced Ordinal Labels via Bayesian Clustering. ECML/PKDD (1) (2016)