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个人简介

教育经历 2015年-2019年,天津大学智能与计算学部,博士研究生,导师:廖士中 教授 2012年-2015年,西北工业大学理学院,硕士研究生,导师:陆全 教授 2008年-2012年,山西大学数学科学学院,本科生 工作经历 2020年至今,中国人民大学高瓴人工智能学院博士后,合作导师:文继荣 教授

研究领域

在线机器学习,模型选择,推荐系统

近期论文

查看导师最新文章 (温馨提示:请注意重名现象,建议点开原文通过作者单位确认)

Xiao Zhang, Shizhong Liao. Incremental randomized sketching for online kernel learning. Proceedings of the 36th International Conference on Machine Learning (ICML), 7394–7403, 2019. (CCF A 类会议) Xiao Zhang, Shizhong Liao. Hypothesis sketching for online kernel selection in continuous kernel space. Proceedings of the 29th International Joint Conference on Artificial Intelligence (IJCAI), accepted, 2020. (CCF A 类会议) Xiao Zhang, Shizhong Liao. Online kernel selection via incremental sketched kernel alignment. Proceedings of the 27th International Joint Conference on Artificial Intelligence (IJCAI), pages 3118–3124, 2018. (CCF A 类会议) Shizhong Liao, Xiao Zhang (通讯作者). Online kernel selection via tensor sketching. Proceedings of the 28th ACM International Conference on Information and Knowledge Management (CIKM), pages 801–810, 2019. (CCF B 类会议) Xiao Zhang, Yun Liao, Shizhong Liao. A survey on online kernel selection for online kernel learning. WIREs Data Mining and Knowledge Discovery, 9(2): e1295, 2019. (SCI 3 区) Xiao Zhang, Shizhong Liao. Tensor completion via multi-shared-modes canonical correlation analysis. Neurocomputing, 205: 106–115, 2016. (SCI 2 区, CCF C 类期刊) Shan Xu, Xiao Zhang, Shizhong Liao. New online kernel ridge regression via incremental predictive sampling. Proceedings of the 28th ACM International Conference on Information and Knowledge Management (CIKM), pages 791–800, 2019. (CCF B 类会议) Shan Xu, Xiao Zhang, Shizhong Liao. A linear incremental Nystrom method for online kernel learning. Proceedings of the 24th International Conference on Pattern Recognition (ICPR), pages 2256–2261, 2018. (CCF C 类会议, Best Student Paper) 张骁, 廖士中. 基于局部后悔的在线核选择. 计算机学报, 42(1): 61–72, 2019. (CCF A 类中文期刊) 张骁, 胡清华, 廖士中. 基于多源共享因子的多张量填充. 中国科学 : 信息科学, 46(7): 819–833, 2016. (CCF A 类中文期刊) 廖芸, 张骁, 廖士中. 统一框架下在线核选择的竞争性分析. 计算机科学与探索, 2019, DOI:10.3778/j.issn.1673-9418.1905092. (CCF B 类中文期刊)

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