苏州大学计算机科学与技术学院副教授，2016年博士毕业于北京大学，并任职于中国科学院自动化研究所，研究方向为机器学习。2017年入职苏州大学计算机科学与技术学院。近年来一直致力于自然语言处理方向的研究工作。在人工智能与自然语言处理会议与期刊上发表论文四十余篇。主持国家自然科学青年基金1项，面上基金1项，省级和市级科协青年科技人才托举工程项目2项，参与多项国家与横向项目。担任IJCAI、EMNLP、IEEE TASLP等学术期刊会议审稿人，以及中文信息学会语言与知识计算专业委员会委员。
自然语言处理
情感分析
机器学习
2020
Tongfeng Guan, Hongying Zan, Xiabing Zhou, Hongfei Xu, Kunli Zhang: CMeIE: Construction and Evaluation of Chinese Medical Information Extraction Dataset. NLPCC
Xiabing Zhou, Zhongqing Wang, Xingwei Liang, Min Zhang, Guodong Zhou:Neural Emotion Detection via Personal Attributes. JCST.
Xiabing Zhou, Zhongqing Wang, Min Zhou, Qifa Wang, Shoushan Li, Min Zhang, Guodong Zhou: Sentiment Classification via User and Product Interactive Modeling. Science China Information Science.
2019
Xiabing Zhou, Zhongqing Wang, Shoushan Li, Guodong Zhou, Min Zhang: Emotion Detection with Neural Personal Discrimination. EMNLP
2018
Xiabing Zhou, Binglin Wu, Qinlei Zhou:A Depth Evidence Score Fusion Algorithm for Chinese Medical Intelligence Question Answering System. Journal of Healthcare Engineering.
2017
Xiabing Zhou, Haikun Hong, Xingxing Xing, Kaigui Bian, Kunqing Xie, Mingliang Xu: Discovering spatio-temporal dependencies based on time-lag in intelligent transportation data. Neurocomputing 259
2016
Xiabing Zhou, Xingxing Xing, Lei Han, Haikun Hong, Kaigui Bian, Kunqing Xie: Structure Feature Learning Method for Incomplete Data. Int. J. Pattern Recognit. Artif. Intell. 30(9)
2015
Guojie Song, Xiabing Zhou, Yu Wang, Kunqing Xie: Influence Maximization on Large-Scale Mobile Social Network: A Divide-and-Conquer Method. IEEE Trans. Parallel Distributed Syst. 26(5)
Xiabing Zhou, Lei Han, Xingxing Xing, Haikun Hong, Wenhao Huang, Kaigui Bian, Kunqing Xie: Incorporating temporal smoothness and group structure in learning with incomplete data. FSKD
Haikun Hong, Wenhao Huang, Xiabing Zhou, Sizhen Du, Kaigui Bian, Kunqing Xie: Short-term traffic flow forecasting: Multi-metric KNN with related station discovery. FSKD
Haikun Hong, Xiabing Zhou, Wenhao Huang, Xingxing Xing, Fei Chen, Yu Lei, Kaigui Bian, Kunqing Xie: Learning Common Metrics for Homogenous Tasks in Traffic Flow Prediction. ICMLA
Xiabing Zhou, Wenhao Huang, Ni Zhang, Weisong Hu, Sizhen Du, Guojie Song, Kunqing Xie: Probabilistic dynamic causal model for temporal data. IJCNN
Xingxing Xing, Xiabing Zhou, Haikun Hong, Wenhao Huang, Kaigui Bian, Kunqing Xie: Traffic Flow Decomposition and Prediction Based on Robust Principal Component Analysis. ITSC
Xiabing Zhou, Haikun Hong, Xingxing Xing, Wenhao Huang, Kaigui Bian, Kunqing Xie: Mining Dependencies Considering Time Lag in Spatio-Temporal Traffic Data. WAIM
本人招收硕士生，感兴趣的同学请联系邮箱zhouxiabing@suda.edu.cn
苏州大学计算机科学与技术学院副教授，2016年博士毕业于北京大学，并任职于中国科学院自动化研究所，研究方向为机器学习。2017年入职苏州大学计算机科学与技术学院。近年来一直致力于自然语言处理方向的研究工作。在人工智能与自然语言处理会议与期刊上发表论文四十余篇。主持国家自然科学青年基金1项，面上基金1项，省级和市级科协青年科技人才托举工程项目2项，参与多项国家与横向项目。担任IJCAI、EMNLP、IEEE TASLP等学术期刊会议审稿人，以及中文信息学会语言与知识计算专业委员会委员。
自然语言处理
情感分析
机器学习
2020
Tongfeng Guan, Hongying Zan, Xiabing Zhou, Hongfei Xu, Kunli Zhang: CMeIE: Construction and Evaluation of Chinese Medical Information Extraction Dataset. NLPCC
Xiabing Zhou, Zhongqing Wang, Xingwei Liang, Min Zhang, Guodong Zhou:Neural Emotion Detection via Personal Attributes. JCST.
Xiabing Zhou, Zhongqing Wang, Min Zhou, Qifa Wang, Shoushan Li, Min Zhang, Guodong Zhou: Sentiment Classification via User and Product Interactive Modeling. Science China Information Science.
2019
Xiabing Zhou, Zhongqing Wang, Shoushan Li, Guodong Zhou, Min Zhang: Emotion Detection with Neural Personal Discrimination. EMNLP
2018
Xiabing Zhou, Binglin Wu, Qinlei Zhou:A Depth Evidence Score Fusion Algorithm for Chinese Medical Intelligence Question Answering System. Journal of Healthcare Engineering.
2017
Xiabing Zhou, Haikun Hong, Xingxing Xing, Kaigui Bian, Kunqing Xie, Mingliang Xu: Discovering spatio-temporal dependencies based on time-lag in intelligent transportation data. Neurocomputing 259
2016
Xiabing Zhou, Xingxing Xing, Lei Han, Haikun Hong, Kaigui Bian, Kunqing Xie: Structure Feature Learning Method for Incomplete Data. Int. J. Pattern Recognit. Artif. Intell. 30(9)
2015
Guojie Song, Xiabing Zhou, Yu Wang, Kunqing Xie: Influence Maximization on Large-Scale Mobile Social Network: A Divide-and-Conquer Method. IEEE Trans. Parallel Distributed Syst. 26(5)
Xiabing Zhou, Lei Han, Xingxing Xing, Haikun Hong, Wenhao Huang, Kaigui Bian, Kunqing Xie: Incorporating temporal smoothness and group structure in learning with incomplete data. FSKD
Haikun Hong, Wenhao Huang, Xiabing Zhou, Sizhen Du, Kaigui Bian, Kunqing Xie: Short-term traffic flow forecasting: Multi-metric KNN with related station discovery. FSKD
Haikun Hong, Xiabing Zhou, Wenhao Huang, Xingxing Xing, Fei Chen, Yu Lei, Kaigui Bian, Kunqing Xie: Learning Common Metrics for Homogenous Tasks in Traffic Flow Prediction. ICMLA
Xiabing Zhou, Wenhao Huang, Ni Zhang, Weisong Hu, Sizhen Du, Guojie Song, Kunqing Xie: Probabilistic dynamic causal model for temporal data. IJCNN
Xingxing Xing, Xiabing Zhou, Haikun Hong, Wenhao Huang, Kaigui Bian, Kunqing Xie: Traffic Flow Decomposition and Prediction Based on Robust Principal Component Analysis. ITSC
Xiabing Zhou, Haikun Hong, Xingxing Xing, Wenhao Huang, Kaigui Bian, Kunqing Xie: Mining Dependencies Considering Time Lag in Spatio-Temporal Traffic Data. WAIM
本人招收硕士生，感兴趣的同学请联系邮箱zhouxiabing@suda.edu.cn