姓名：康昭 专业技术职务：副教授
联系方式：
邮箱：zkang@uestc.edu.cn
系别：计算机软件与理论系

联系方式 邮箱 zkang@uestc.edu.cn
专业技术职务_详情页 副教授
个人背景 2013.08-2017.05:南伊利诺伊大学,博士;
2017.07-2020.04:电子科技大学,讲师;
2020.05-至今:电子科技大学，副教授;
研究方向 机器学习、深度学习、社交媒体挖掘与分析
讲授课程
本科：《人工智能》、《机器学习》、《互联网技术导论》
研究生：《Mobile Computing》
研究成果 研究项目：
1.项目名称，国家自然科学基金青年项目，2019.08-2021.12，主持；
2.项目名称，探月与航天工程中心项目，2021.01-2023.12，主持；
论文列表：
[1] Juncheng Lv, Zhao Kang*, Xiao Lu, Zenglin Xu, Pseudo-supervised Deep Subspace Clustering，IEEE Transactions on Image Processing, 30, 5252–5263 (2021).
[2] Zhiping Lin, Zhao Kang*, Graph Filter-based Multi-view Attributed Graph Clustering, IJCAI 2021.
[3] Zhao Kang, Zhiping Lin, Xiaofeng Zhu, Wenbo Xu, Structured Graph Learning for Scalable Subspace Clustering: From Single-view to Multi-view, IEEE Transactions on Cybernetics, 2021.
[4]Juncheng Lv, Zhao Kang*, Boyu Wang, Luping Ji, Zenglin Xu, Multi-view Subspace Clustering via Partition Fusion, Information Sciences, 2021.
[5] Peng Zhao, Wenhua Zang, Bin Liu, Zhao Kang*, Kun Bai, Kaizhu Huang, Zenglin Xu, Domain Adaptation with Feature and Label Adversarial Networks, Neurocomputing,2021.
[6]Jiangxin Li, Zhao Kang*, Chong Peng, Wenyu Chen, Self-Paced Two-dimensional PCA, AAAI 2021.
[7]Zhao Kang, Chong Peng, Qiang Cheng, Xinwang Liu, Xi Peng, Zenglin Xu, Ling Tian, Structured Graph Learning for Clustering and Semi-supervised Classification, Pattern Recognition, 2021.
[8] Xing Wang, Zhao Kang*, Smooth Representation Semi-Supervised Classification,计算机科学，2020.
[9]Zhengrui Ma, Zhao Kang*, Guangchun Luo, Ling Tian, Wenyu Chen, Towards Clustering-friendly Representations: Subspace Clustering via Graph Filtering, ACM Multimedia 2020.
[10]Zhao Kang#, Xiao Lu#, Jian Liang, Kun Bai, Zenglin Xu, Relation-Guided Representation Learning, Neural Networks, 2020.
[11] Zhao Kang, Xiao Lu, Yiwei Lu, Chong Peng, Wenyu Chen, Zenglin Xu, Structure Learning with Similarity Preserving, Neural Networks, 2020.
[12]Zhao Kang, Wangtao Zhou, Zhitong Zhao, Junming Shao, Meng Han, Zenglin Xu, Large-scale Multi-view Subspace Clustering in Linear Time, AAAI 2020.
[13] Zhao Kang, Xinjia Zhao, Chong Peng, Hongyuan Zhu, Joey Tianyi Zhou, Xi Peng, Wenyu Chen, Zenglin Xu,Partition Level Multiview Subspace Clustering, Neural Networks, 2020.
[14]Zhao Kang, Guoxin Shi, Shudong huang, Wenyu Chen, Xiaorong Pu, Joey Tianyi Zhou, Zenglin Xu, Multi-graph Fusion for Multi-view Spectral Clustering, Knowledge-Based Systems, 2020.
[15] Zhao Kang, Zipeng Guo, Shudong Huang, Siying Wang, Wenyu Chen, Yuanzhang Su, Zenglin Xu,Multiple Partitions Aligned Clustering, IJCAI 2019.
[16]Zhao Kang, Honghui Xu, Boyu Wang, Hongyuan Zhu, Zenglin Xu, Clustering with Similarity Preserving, Neurocomputing, 2019.
[17] Zhao Kang, Yiwei Lu, Yuanzhang Su, Changsheng Li, Zenglin Xu, Similarity Learning via Kernel Preserving Embedding, AAAI 2019.
[18] Zhao Kang, Haiqi Pan, Steven C.H. Hoi, Zenglin Xu, Robust Graph Learning from Noisy Data, IEEE Transactions on Cybernetics, 2020.
[19] Zhao Kang, Liangjian Wen, Wenyu Chen, Zenglin Xu, Low-rank Kernel Learning for Graph-based Clustering, Knowledge-Based Systems, 2018.
[20] Zhao Kang, Xiao Lu, Jinfeng Yi, Zenglin Xu, Self-weighted Multiple Kernel Learning for Graph-based Clustering and Semi-supervised Classification, IJCAI 2018.
[21] Zhao Kang, Chong Peng, Qiang Cheng, Zenglin Xu,Unified Spectral Clustering with Optimal Graph, AAAI 2018.
[22] Zhao Kang, Chong Peng, Qiang Cheng, Kernel-driven Similarity Learning, Neurocomputing, 2017.
[23]Zhao Kang, Chong Peng, Qiang Cheng, Clustering with Adaptive Manifold Structure Learning, ICDE 2017.
[24]Zhao Kang, Chong Peng, Qiang Cheng, Twin Learning for Similarity and Clustering: A Unified Kernel Approach, AAAI 2017.
[25]Zhao Kang, Chong Peng, Ming Yang, Qiang Cheng, Top-N Recommendation on Graphs, CIKM 2016.
[26]Zhao Kang, Chong Peng, Qiang Cheng, Top-N recommendation with novel rank approximation, SDM 2016.
[27]Zhao Kang, Chong Peng, Qiang Cheng, Top-N Recommender System via Matrix Completion, AAAI 2016.
[28] Zhao Kang, Chong Peng, Qiang Cheng, Robust PCA Via Nonconvex Rank Approximation, ICDM 2015.
[29] Zhao Kang, Chong Peng, Qiang Cheng, Robust Subspace Clustering via Tighter Rank Approximation, CIKM 2015.
社会兼职及荣誉
2020年4月四川省“*****”
2019年12月电子科技大学唐立新优秀****
【其他】
https://zhaokang.site/