Name: QI Zhiquan
Title: Associate Researcher
Research Areas: Data Mining, Machine Learning
E-mail: qizhiquan@ucas.ac.cn
Highest Degree&Year Earned: Ph.D, 2011
Discipline: Management Science and Engineering
Publication in the Past 5 Years:
1)English Journals&Journal Citations (SSCI/SCI/EI/CSSCI)
1.Shi Y , Liu J , Wang B , et al. Deep learning from label proportions with labeled samples[J]. Neural Networks, 2020, 128. SCI
2. Li B , Wang B , Liu J , et al. s-LWSR: Super Lightweight Super-Resolution Network[J]. IEEE Transactions on Image Processing, 2020, PP(99):1-1. SCI
3. Z. Qi, Y. Tian, and Y. Shi, Successive Overrelaxation for Laplacian Support Vector Machine,IEEE Trans. Neural Netw. Learning Syst, 2015, 26(4): 674-683. SCI
4. Qi Z, Fan Meng,Yingjie Tian,Lingfeng Niu,Yong Shi,Peng Zhang,Adaboost-LLP: A Boosting Method for Learning With Label Proportions,IEEE Transactions on Neural Networks and Learning Systems,2017,29(8):3548 - 3559 SCI
5. L. Cui, Z. Qi*, Automatic Road Crack Detection Using Random Structured Forests, IEEE Transactions on Intelligent Transportation Systems,10.1109/TITS.2016.2552248SCI
6. Z. Qi, B Wang, F Meng, L Niu, Learning With Label Proportions via NPSVM. IEEE Transactions on Cybernetics, 2017, 47(10): 3293-3305 SCI
7. Qi Z, Fan Meng,Yingjie Tian,Lingfeng Niu,Yong Shi,Peng Zhang,Adaboost-LLP: A Boosting Method for Learning With Label Proportions,IEEE Transactions on Neural Networks and Learning Systems,2017,DOI: 10.1109/TNNLS.2017.2727065SCI
Projects Statistics:
1) Number of Research Projects in the Past 5 Years: 3
