081203-计算机应用技术

机器学习，深度学习，数据挖掘

2008-10--2011-06   中国农业大学   博士学位
2003-10--2006-06   中国农业大学   硕士

   

2011-07~2013-05,中国科学院大学, 博士后

数据挖掘与商务智能

[1] Sun, Shiding, Tian, Yingjie, Qi, Zhiquan, Wu, Yang, Gao, Weizhi, Wu, Yahe. Two-stage training strategy combined with neural network for segmentation of internal mammary artery graft. BIOMEDICAL SIGNAL PROCESSING AND CONTROL[J]. 2023, 80: http://dx.doi.org/10.1016/j.bspc.2022.104278.
[2] Yang, Jie, Shi, Yong, Qi, Zhiquan. Learning deep feature correspondence for unsupervised anomaly detection and segmentation. PATTERN RECOGNITION[J]. 2022, 132: http://dx.doi.org/10.1016/j.patcog.2022.108874.
[3] Liu, Jiabin, Qi, Zhiquan, Wang, Bo, Tian, YingJie, Shi, Yong. SELF-LLP: Self-supervised learning from label proportions with self-ensemble. PATTERN RECOGNITION[J]. 2022, 129: http://dx.doi.org/10.1016/j.patcog.2022.108767.
[4] Shi, Yong, Yang, Jie, Qi, Zhiquan. Unsupervised anomaly segmentation via deep feature reconstruction. NEUROCOMPUTING[J]. 2021, 424: 9-22, http://dx.doi.org/10.1016/j.neucom.2020.11.018.
[5] Li, Biao, Shi, Yong, Wang, Bo, Qi, Zhiquan, Liu, Jiabin. RGSR: A two-step lossy JPG image super-resolution based on noise reduction. NEUROCOMPUTING[J]. 2021, 419: 322-334, http://dx.doi.org/10.1016/j.neucom.2020.08.056.
[6] Li, Biao, Wang, Bo, Liu, Jiabin, Qi, Zhiquan, Shi, Yong. s-LWSR: Super Lightweight Super-Resolution Network. IEEE TRANSACTIONS ON IMAGE PROCESSING[J]. 2020, 29: 8368-8380, http://dx.doi.org/10.1109/TIP.2020.3014953.
[7] Yang Jie, Qi Zhiquan, Shi Yong. Learning to Incorporate Structure Knowledge for Image Inpainting. 2020, http://arxiv.org/abs/2002.04170.
[8] Gao, Xiang, Tian, Yingjie, Qi, Zhiquan. RPD-GAN: Learning to Draw Realistic Paintings With Generative Adversarial Network. IEEE TRANSACTIONS ON IMAGE PROCESSING[J]. 2020, 29: 8706-8720, http://dx.doi.org/10.1109/TIP.2020.3018856.
[9] Liu, Jiabin, Wang, Bo, Qi, Zhiquan, Tian, Yingjie, Shi, Yong, Wallach, H, Larochelle, H, Beygelzimer, A, dAlcheBuc, F, Fox, E, Garnett, R. Learning from Label Proportions with Generative Adversarial Networks. ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 32 (NIPS 2019)null. 2019, 32: [10] Qi, Zhiquan, Meng, Fan, Tian, Yingjie, Niu, Lingfeng, Shi, Yong, Zhang, Peng. Adaboost-LLP: A Boosting Method for Learning With Label Proportions. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS[J]. 2018, 29(8): 3548-3559, https://www.webofscience.com/wos/woscc/full-record/WOS:000439627700020.
[11] Qi, Zhiquan, Wang, Bo, Meng, Fan, Niu, Lingfeng. Learning With Label Proportions via NPSVM. IEEE TRANSACTIONS ON CYBERNETICS[J]. 2017, 47(10): 3293-3305, https://www.webofscience.com/wos/woscc/full-record/WOS:000409311800028.
[12] Shi, Yong, Cui, Limeng, Qi, Zhiquan, Meng, Fan, Chen, Zhensong. Automatic Road Crack Detection Using Random Structured Forests. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS[J]. 2016, 17(12): 3434-3445, https://www.webofscience.com/wos/woscc/full-record/WOS:000389344200009.
[13] Qi, Zhiquan, Tian, Yingjie, Shi, Yong. Successive Overrelaxation for Laplacian Support Vector Machine. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS[J]. 2015, 26(4): 674-683, https://www.webofscience.com/wos/woscc/full-record/WOS:000351835900003.

   

（ 1 ） 基于 Privileged 信息的行人检测方法研究, 主持, 国家级, 2015-01--2017-12
（ 2 ） 大数据环境下的管理决策创新研究, 参与, 国家级, 2014-01--2018-12
（ 3 ） 面向管理决策的非结构化大数据分析方法与关键技术, 参与, 国家级, 2016-01--2019-12

现指导学生

张丽  硕士研究生  125100-工商管理  

董柱  硕士研究生  125100-工商管理  

张占宾  博士研究生  120100-管理科学与工程  

长期从事机器学习方法及应用方面的研究。在国内外主流期刊上（如：IEEE Trans. TNNLS、 IEEE Trans. Cybernetics、IEEE Trans. Intelligent Transportation Systems、 Pattern Recognition等）发表SCI文章20余篇，数据挖掘顶级国际会议KDD、ICDM在内的EI论文10余篇。 学术影响包括: Google学术引用1000余次，被评为高被引的ESI文章：3篇。 原创NPSVM代码被下载1200余次。 2013年ICCS国际大会，获得Green Group国际奖项。在“Pattern Recognition”国际期刊，以第一作者身份发表的论文获颁2013年最佳论文奖。

目前主要从事深度学习方面的研究。应用领域主要包括：机器视觉，文本挖掘等。