个人简介
工作经历
2011年-至今，南京理工大学计算机科学与工程学院 教师
教育经历
2001-2005，重庆大学 计算机科学与技术 工学学士
2005-2011，南京大学 计算机科学与技术 工学博士
2008-2009，University of Regina， Canada，联合培养博士
2016-2017，University of North Carolina at Chapel Hill，USA，访问学者
近期论文
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Tingting Ren( 硕士生), Xiuyi Jia, Weiwei Li, Lei Chen, Zechao Li. Label distribution learning with label-specific features. IJCAI 2019.
Tingting Ren( 硕士生), Xiuyi Jia, Weiwei Li, Shu Zhao. Label distribution learning with label correlations via low-rank approximation. IJCAI 2019.
Xiuyi Jia, Xiang Zheng, Weiwei Li, Changqing Zhang, Zechao Li. Facial emotion distribution learning by exploiting low-rank label correlations locally. CVPR 2019.
Wenzhou Zhang( 硕士生), Weiwei Li, Xiuyi Jia. Effort-aware tri-training for semi-supervised just-in-time defect prediction. PAKDD 2019.
Tongjun Li, Weizhi Wu, Xiuyi Jia. Rough approximations on two universes under a mapping. IJCRS 2019.
Hong Chen, Huaxiong Li, Bing Huang, Xiuyi Jia, Xianzhong Zhou. Incremental sequential three-way decision using a deep stacked autoencoder. IJCRS 2019.
Xiuyi Jia, Weiwei Li, Junyu Liu, Yu Zhang. Label distribution learning by exploiting label correlations. AAAI 2018.
Xiang Zheng( 硕士生), Xiuyi Jia, Weiwei Li. Label distribution learning by exploiting sample correlations locally. AAAI 2018.
Jiubing Liu, Xianzhong Zhou, Huaxiong Li, Bing Huang, Libo Zhang, Xiuyi Jia. An optimization view on intuitionistic fuzzy three-way decisions. IJCRS2018.
Xiuyi Jia, Han Zhang, Ehsan Adeli, Dinggang Shen. Consciousness level and recovery outcome prediction using high-order brain functional connectivity network. CNI@MICCAI 2017.
Li Shi( 硕士生), Changdong Zhang, Tingting Liu, Wenhe Liao, Xiuyi Jia. Adaptive density optimization of lattice structures sustaining the external multi-load. ICIG 2017.
Lu Wang( 硕士生), Weiwei Li, Xiuyi Jia, Bing Zhou. A multi-objective attribute reduction method in decision-theoretic rough set model. KSEM 2017.
Xiuyi Jia, Zechao Li, Xiang Zheng, Weiwei Li, Sheng-Jun Huang. Label distribution learning with label correlations on local samples. IEEE Transactions on Knowledge and Data Engineering. Accepted.
Min Wang, Ke Fu, Fan Min, Xiuyi Jia. Active learning through label error statistical methods. Knowledge-Based Systems. 2020.
Xiuyi Jia, Zhao Deng, Fan Min, Dun Liu. Three-way decisions based feature fusion for Chinese irony detection. International Journal of Approximate Reasoning. 2019.
Yimeng Zhang( 博士生), Xiuyi Jia, Zhenmin Tang, Xianzhong Long. Uncertainty measures for interval set information tables based on interval δ-similarity relation. Information Sciences. 2019.
Xiuyi Jia, Ya Rao, Lin Shang, Tongjun Li. Similarity-based attribute reduction in rough set theory: A clustering perspective. International Journal of Machine Learning and Cybernetics. 2019.
Xiuyi Jia, Tingting Ren, Lei Chen, Jun Wang, Jihua Zhu, Xianzhong Long. Weakly supervised label distribution learning based on transductive matrix completion with sample correlations, Pattern Recognition Letters, 2019.
Xiuyi Jia, Weiwei Li, Lin Shang. A multiphase cost-sensitive learning method based on the multiclass three-way decision-theoretic rough set model. Information Sciences, 2019.
Weiwei Li, Xiuyi Jia, Lu Wang, Bing Zhou. Multi-objective attribute reduction in three-way decision-theoretic rough set model. International Journal of Approximate Reasoning, 2019.
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