李 平 副教授 硕士生导师
计算机科学与技术
机器学习，计算机视觉，媒体计算

lpcs@hdu.edu.cn



教师简介
发表论文
李平，副教授，IEEE/ACM/CCF会员，浙江大学计算机科学博士，新加坡国立大学博士后研究员（国家公派），2014年4月加入杭州电子科技大学计算机学院。
研究领域：机器学习、计算机视觉、数据挖掘、多媒体计算
主持国家级科研项目1项和省部级3项，包括国家自然科学基金1项、浙江省自然科学基金项目2项、国家重点实验室开放课题1项，曾参与国家科技支撑计划、国家自然科学基金重点项目和青年973项目；已发表国际期刊和会议论文近30篇，其中SCI期刊一作12篇（含IEEE Transactions on Cybernetics、Information Sciences等一区/二区多篇，累计影响因子近45 [16版JCR]），CCF-A类顶会和B类会议一作各1篇；授权国家发明专利9项。?
受邀担任人工智能顶级会议AAAI2018高级程序委员会委员，AAAI2015/2017、IJCAI2013/2017程序委员会委员，顶会NIPS2016/2017评审人，TIP、TNNLS、TCYB、INS、IEEE Signal Processing Letters等多个主流SCI期刊评审人。
曾获评浙江省优秀毕业研究生、博士研究生国家奖学金两次、杭电第九届青年教师教学技能竞赛一等奖、2015-2016学年教学业绩A级、2015届本科毕设优秀指导教师、2017年入选优秀青年教师培育专项。
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[1] Li Yuan, Francis Tay, Ping Li, Li Zhou, Jiashi Feng. Cycle-SUM: Cycle-consistent adversarial LSTM networks for unsupervised video summarization. AAAI, 2019. (CCF-A)
[2] Ping Li*, Jiashi Feng, Xiaojie Jin, et al. Online robust low-rank tensor modeling for streaming data analysis. IEEE Transactions on Neural Networks and Learning Systems, Vol.30, Issue 4, 1061-1075, 2019. (SCI 一区, IF=11.863)
[3] Ping Li*, Jiashi Feng, Xiaojie Jin, Luming Zhang, Xianghua Xu, Shuicheng Yan. Online robust low-rank tensor learning. In Proceedings of the 26th International Joint Conference on Artificial Intelligence (IJCAI), 2017. (顶级会议, CCF-A)
[4] Yinzuo Zhou, Luming Zhang*, Chao Zhang, Ping Li, Xuelong Li. Perceptually aware image retargeting for mobile device. IEEE Transactions on Image Processing. Vol.27, Issue 5, 2301-2313, 2018. (CCF-A, IF=5.071)
[5] Ping Li, Jun Yu, Meng Wang, Luming Zhang, Deng Cai, Xuelong Li. Constrained low-rank learning using least squares based regularization. IEEE Transactions on Cybernetics. 47(12): 4250 - 4262, 2017. (SCI 一区, IF=10.387)
[6] Ping Li, Jiajun Bu, Lijun Zhang, Chun Chen. Graph-based local concept coordinate factorization. Knowledge and Information Systems. Vol.43, 103-126, 2015. (SCI 二区, IF=2.397)
[7] Ping Li, Jiajun Bu, Bin Xu, Zhanying He, Chun Chen, Deng Cai. Sparse fixed-rank representation for robust visual analysis. Signal Processing. Vol.110, 222-231, 2015. (SCI 三区, IF=4.086)
[8] Ping Li, Jiajun Bu, Chun Chen, Deng Cai. Manifold optimal experimental design via dependence maximization for active learning. Neurocomputing. Vol. 142, 429-437, 2014. (SCI 二区, IF=4.072)
[9] Ping Li, Jiajun Bu, Yi Yang, etal. Discriminative orthogonal nonnegative matrix factorization with flexibility for data representation. Expert Systems with Applications. Vol. 41, Issue 4, Part 1, 1283-1293. 2014. (SCI 二区, IF=4.292)
[10] Ping Li, Hong Li, Min Wu. Multi-label ensemble based on variable pairwise constraint projection. Information Sciences (INS). Vol.222, 269-281, 2013. (SCI 一区, IF=5.524)
[11] Ping Li, Jiajun Bu, Chun Chen, Zhanying He, Deng Cai. Relational multi-manifold co-clustering. IEEE Transactions on Cybernetics.Vol.43, No.6, 1871-1881. 2013. (SCI 一区, IF=10.387)
[12] Ping Li, Chun Chen, Jiajun Bu. Clustering analysis using manifold kernel concept factorization. Neurocomputing. Vol.87, 120-131. 2012. (SCI 二区, IF=4.072)
[13] Ping Li, Jiajun Bu, Chun Chen, Zhanying He. Relational co-clustering via manifold ensemble learning. In Proceedings of the 21st ACM International Conference on Information and Knowledge Management (CIKM), Maui, Hawaii, USA, 2012. (CCF-B)