Aggregating Crowdsourced Ordinal Labels via Bayesian Clustering. - Xiawei Guo; James T. Kwok (ECML/PKDD (1), 2016)

Efficient Sparse Low-Rank Tensor Completion Using the Frank-Wolfe Algorithm. - Xiawei Guo; Quanming Yao; James Tin-Yau Kwok (AAAI, 2017)

Privacy-preserving Transfer Learning for Knowledge Sharing. - Xiawei Guo; Quanming Yao; Wei-Wei Tu; Yuqiang Chen; Wenyuan Dai; Qiang Yang 001 (CoRR, 2018)

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 001 (IJCAI, 2019)

AutoSpeech 2020: The Second Automated Machine Learning Challenge for Speech Classification. - Jingsong Wang; Tom Ko; Zhen Xu 007; Xiawei Guo; Souxiang Liu; Wei-Wei Tu; Lei Xie (INTERSPEECH, 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 001 (Federated Learning, 2020)

Task-wise Split Gradient Boosting Trees for Multi-center Diabetes Prediction. - Mingcheng Chen; Zhenghui Wang; Zhiyun Zhao; Weinan Zhang 001; Xiawei Guo; Jian Shen 003; Yanru Qu; Jieli Lu; Min Xu; Yu Xu; Tiange Wang; Mian Li; et al. (KDD, 2021)

TabGNN: Multiplex Graph Neural Network for Tabular Data Prediction. - Xiawei Guo; Yuhan Quan; Huan Zhao 002; Quanming Yao; Yong Li 008; Weiwei Tu (CoRR, 2021)

Exploring Model Dynamics for Accumulative Poisoning Discovery. - Jianing Zhu; Xiawei Guo; Jiangchao Yao; Chao Du; Li He; Shuo Yuan; Tongliang Liu; Liang Wang 001; Bo Han 003 (ICML, 2023)

Combating Bilateral Edge Noise for Robust Link Prediction. - Zhanke Zhou; Jiangchao Yao; Jiaxu Liu; Xiawei Guo; Quanming Yao; Li He; Liang Wang 001; Bo Zheng 007; Bo Han 003 (NeurIPS, 2023)