Xiawei Guo - RankMe

14 papers A* 5A 1Journal 6Unranked 1

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