个人简介
晁国清，博士，副教授，硕士生导师。中国计算机学会(CCF)高级会员、CCF服务计算专委会执行委员，中国人工智能学会(CAAI)会员、CAAI智能服务专委会委员，中国自动化学会(CAA)会员、CAA模式识别与机器智能专委会委员，山东省人工智能学会常务理事，YOCSEF青岛2023-2024学术秘书。国家自然科学基金评议专家，教育部学位中心论文评审专家，山东省科技专家库研发专家，青岛科技局专家库技术研发专家。研究兴趣包括机器学习、数据挖掘、智慧医疗、元宇宙、服务计算与工程，先后在美国康涅狄格大学，西北大学以及新加坡管理大学做博士后和Research Scientist。近年来主持或主研包括国家自然科学基金面上项目、山东省重点研发项目课题子课题等近十项。研究成果主要发表在TNNLS, Information Fusion, Information Sciences，IJCAI,ACM MM, BIBM等国际顶级期刊会议。担任SCI期刊Applied Intelligence和Neural Processing Letters 的客座执行编辑，担任AAAI,IJCAI,ICDM,TPAMI,TNNLS, TKDE, TFS, T-Cybernetics,TSC, PR等二十余个国际顶级会议期刊审稿人。曾获上海市自然科学二等奖。
工作经历
2020.12.31- 哈尔滨工业大学（威海） 副教授
2020.09- 2020.12 哈尔滨工业大学（威海） 讲师
2018.08-2020.02 新加坡管理大学 Research Scientist Supervisor: Professor Ee-Peng Lim
2017.12-2018.07 西北大学 PostDoc Supervisor: Professor Yuan Luo
2015.12-2017.12 康涅狄格大学 PostDoc Supervisor：Professor Jinbo Bi
教育经历
2010.09-2015.07 华东师范大学 博士 （导师：孙仕亮）
近期论文
查看导师新发文章
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Guoqing Chao, Jingyao Liu, Mingyu Wang and Dianhui Chu, Data Augmentation for Sentiment Classification with Semantic Preservation and Diversity.Knowledge-Based Systems, 280:111038，2023.
Guanzhou Ke, Guoqing Chao, Xiaoli Wang, Chenyang Xu, Yongqi Zhu, Yang Yu, A Clustering-guided Contrastive Fusion for Multi-view Representation Learning. IEEE Transactions on Circuits and Systems for Video Technology, 2023.
Guanzhou Ke, Yang Yu, Guoqing Chao, Xiaoli Wang, Chenyang Xu, Shengfeng He, Disentangling Multi-view Representations Beyond Inductive Bias. Proceedings of the 31st ACM International Conference on Multimedia, 2582-2590, 2023.
Zhaoyi Yuan, Hao Ding, Guoqing Chao*, Mingqiang Song, Lei Wang, Weiping Ding and Dianhui Chu, A Diabetes Prediction System Based on Incomplete Fused Data Source. Machine Learning & Knowldge Extraction, 5(2): 384-399, 2023.
Guanzhou Ke, Yang Yu, Guoqing Chao, Xiaoli Wang, Chenyang Xu, Shengfeng He, Disentangling Multi-view Representations Beyond Inductive Bias. Proceedings of the 31st ACM International Conference on Multimedia, 2582-2590, 2023.
Peisong Zhang, Zhijin Wang, Guoqing Chao, Yaohui Huang, Jingwen Yan, An Oriented Attention Model for Infectious Disease Cases Prediction. IEA/AIE, 2022.
Guoqing Chao, Songtao Wang, Shiming Yang, Chunshan Li, Dianhui Chu, Incomplete Multi-View Clustering by Multiple Imputation and Ensemble Clustering. Applied Intelligence (IF=5.086), 2022.
Chunshan Li, Yingli Zhou, Guoqing Chao and Dianhui Chu. Understanding Users’ Requirements Precisely: a Double Bi-LSTM-CRF Joint Model for Detecting User’s Intentions and Slot Tags. Neural Computing and Applications (IF=5.606), 2022.
Feixiang Sun, Xijiong Xie, Jiangbo Qian, Yu Xin, Chong Wang and Guoqing Chao, Multi-view k-proximal plane clustering. Applied Intelligence (IF=5.086), 2022.
Yuhua Kang, Guoqing Chao*, Xin Hu, Zhiying Tu, Dianhui Chu, Deep Learning for Fine-Grained Image Recognition: A Comprehensive Study. Asia Pacific Information Technology Conference, 31-39 2022.
Zhijin Wang and Qiankun Sun and Guoqing Chao and Bing Cai and Yaohui Huang and Yonggang Fu. A Multi-view Time Series Model for Share Turnover Prediction. Applied Intelligence (IF=5.086), 2022.
Bolin Zhang, Zhiying Tu, Yangqin Jiang, Shufan He, Guoqing Chao, Dianhui Chu and Xiaofei He, DGPF: A Dialogue Goal Planning Framework for Cognitive Service Conversation Bot. Proceedings of the 2021 IEEE International Conference on Web Services (ICWS), CCF B, Pages 335-340,2021.
Guoqing Chao, Shiliang Sun, Jinbo Bi, A survey on multi-view clustering. IEEE Transactions on Artificial Intelligence, vol: 2(2), pages 146-168, 2021.
Guoqing Chao, Jiangwen Sun, An-Li Wang, Danniel D. Langleben, Chiang-Shan Liand Jinbo Bi, Multi-View Cluster Analysis with Incomplete Data to Understand Treatment Effects. Information Sciences (IF=6.9), vol：494, pages 278-293, 2019.
Guoqing Chao and Shiliang Sun, Semi-supervised multi-view maximum entropy discrimination with expectation Laplacian regularization. Information Fusion (IF= 11.21), pages 296-306, 2019.
Guoqing Chao, Yuan Luo, Weiping Ding, Recent advances in supervised dimension reduction: A survey, Machine Learning and Knowledge Extraction,Pages 341-358, 2019.
Guoqing Chao, Chengsheng Mao, Fei Wang, Yuan Zhao, Yuan Luo, Supervised NMF to predict ICU mortality risk. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), CCF B ，pages 1189-1194, 2018.
Guoqing Chao, Discriminative K-means Laplacian Clustering. Neural Processing Letters (IF:3.08, vol：49, pages 393-405，2019)
Guoqing Chao and Shiliang Sun, Alternative multi-view maximum entropy discrimination, IEEE Transactions on Neural Networks and Learning Systems (TNNLS, IF=11.683), vol：27(7), pages 1445-1456, 2016.
Guoqing Chao and Shiliang Sun, Consensus and complementarity Based maximum entropy discrimination for multi-view classification, Information Sciences (IF=6.9), pages 296-310, 2016.
Guoqing Chao and Shiliang Sun, Multi-kernel maximum entropy discrimination for multi-view learning, Intelligent Data Analysis (IDA, IF=0.89), vol：20(3), pages 481-493, 2016.
Shiliang Sun and Guoqing Chao, Multi-view maximum entropy discrimination, In: Proceedings of the 23rd International Joint Conferences on Artificial Intelligence (IJCAI), CCF A，pages 1706-1712, 2013.
Guoqing Chao and Shiliang Sun, Semi-supervised multitask learning via self- training and maximum entropy discrimination, In: Proceedings of the 19th International Conference on Neural Information Processing (ICONIP), CCF C，pages 340-347, 2012.
Guoqing Chao and Shiliang Sun, Applying a multitask feature sparsity method for the classification of relations between nominal, In: Proceedings of the 11th International Conference on Machine Learning and Cybernetics (ICMLC), pages 72-76, 2012.
学术兼职
Workshop组织主席：
BIBM 2016 workshop "Machine Learning and Big Data Research for Disease Classification and Complex Phenotyping"
BIBM 2017 workshop "Machine Learning and Big Data Analysis for Disease Classification"
ICDM 2022 workshop "Multi-View Representation Learning"
客座执行编辑：
Applied Intelligence
Neural Processing Letters
Machine Learning & Knowledge Extraction
会议PC：
Association for the Advancement of Artificial Intelligence(AAAI, 2019-)
International Joint Conference on Artificial Intelligence(IJCAI, 2022-)
International Conference on Data Mining (ICDM, 2022-)
International Conference in Pattern Recognition Pattern recognition (ICPR, 2022)
International Conference on Neural Information Processing (ICONIP, 2017-2020)
International Conference on Industrial, Engineering & Other Applications of Applied Intelligence Systems (IDA/AIE, 2023)
IEEE International Conference on Biomedical and Health Informatics (BHI, 2019)
期刊审稿人：
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
Journal of Machine Learning Research (JMLR)
ACM Computing Surveys (CSUR)
IEEE Transactions on Neural Networks and Learning Systems (TNNLS)
IEEE Transactions on Image Processing (TIP)
IEEE Transactions on Knowledge and Data Engineering (TKDE)
IEEE Transactions on Fuzzy Systems (TFS),
IEEE Transactions on Cybernetics
IEEE Transactions on Multimedia (TMM)
IEEE Transactions on Services Computing (TSC)
IEEE Transactions on Circuits and Systems for Video Technology （TCSVT）
IEEE Transactions on Emerging Topics in Computational Intelligence (TETCI)
IEEE Transactions on Artificial Intelligence (TAI)
IEEE Transactions on Big Data (TBD)
ACM Transactions on Knowledge Discovery from Data (TKDD),
ACM Transactions on Intelligent Systems and Technology (ACM TIST)
Information Fusion
Pattern Recognition
Information Sciences
Knowledge-Based System
Expert Systems With Applications
Applied Soft Computing
Engineering Applications of Artificial Intelligence
Science China Information Sciences
Neurocomputing
Neural Computing and Applications
Applied Intelligence
IEEE Signal Processing Letters
Neural Processing Letters
ITE Image Processing
International Journal of Machine Learning and Cybernetics
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