基本信息

刘勇  男   副研究员  中国科学院信息工程研究所
电子邮件: liuyong@iie.ac.cn
通信地址: 北京市海淀区杏石口路益园文创基地C12-412
邮政编码: 100093

个人主页:https://iie-liuyong.github.io

个人简介:对机器学习领域中的大规模机器学习、大规模半监督学习、大规模核方法、自动机器学习等开展了深入研究,共发表论文30余篇,其中以第一作者或通讯作者发表顶级期刊和会议文章20余篇,涵盖机器学习领域顶级期刊TPAMI和全部4大顶级会议(NeurIPS,ICML,IJCAI,AAAI)。获中国科学院“青年创新促进会”成员、中国科学院信息工程研究所“引进优青”人才称号。主持国家自然科学基金青年项目1项,中科院“青促会”和信工所“引进优青”人才项目2项,作为核心骨干参与国家重点研发计划子课题和北京市局横向项目2项。

研究领域

研究领域包括:大规模机器学习、自动机器学习、隐私学习

招生信息

   
招生专业
081203-计算机应用技术
083900-网络空间安全
招生方向
人工智能,机器学习
自动机器学习
半监督学习

教育背景

2009-09--2016-07   天津大学   博士(硕博连读)
2005-09--2009-07   河北工业大学   学士
学历

​博士研究生


学位
博士研究生

工作经历


工作简历
2018-12~现在, 中国科学院信息工程研究所, 副研究员
2016-07~2018-11,中国科学院信息工程研究所, 助理研究员

出版信息

   
发表论文
[1] Tang Huayi, Liu Yong. Deep Safe Multi-view Clustering: Reducing the Risk of Clustering Performance Degradation Caused by View Increase. CVPR (CCF A)[J]. 2022, [2] Yin Rong, Liu Yong, Meng Dan. Distributed Randomized Sketching Kernel Learning. AAAI (CCF A)[J]. 2022, [3] Tang Huayi, Liu Yong. Deep Safe Incomplete Multi-view Clustering: Theorem and Algorithm. ICML (CCF A)[J]. 2022, [4] Kang Yilin, Liu Yong, Li Jian, Wang Weiping. Sharper Utility Bounds for Differentially Private Models: Smooth and Non-smooth. CIKM[J]. 2022, [5] Li, Jian, Liu, Yong, Zhang, Yingying. Ridgeless Regression with Random Features. 2022, [6] Li Shaojie, Liu Yong. High Probability Generalization Bounds for Minimax Problems with Fast Rates. ICLR[J]. 2022, [7] Shaojie Li, Liu Yong. High Probability Guarantees for Nonconvex Stochastic Gradient Descent with Heavy Tails. ICML (CCF A)[J]. 2022, [8] Liu, Yong, Liao, Shizhong, Jiang, Shali, Ding, Lizhong, Lin, Hailun, Wang, Weiping. Fast Cross-Validation for Kernel-Based Algorithms. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE[J]. 2020, 42(5): 1083-1096, http://dx.doi.org/10.1109/TPAMI.2019.2892371.
[9] Liu Yong. Divide-and-Conquer Learning with Nystrom: Optimal Rate and Algorithm. AAAI Conference on Artificial Intelligence (AAAI), CCF A. 2020, [10] Li Jian, Liu Yong, Wang Weiping. Automated Spectral Kernel Learning. 2020, http://arxiv.org/abs/1909.04894.
[11] Liu Yong, Ding Lizhong, Zhang Hua, Ren Wenqi, Zhang Xiao, Jiang Shali, Liu Xinwang, Wang Weiping. Nearly Optimal Risk Bounds for Kernel K-Means. 2020, http://arxiv.org/abs/2003.03888.
[12] Liu Yong. Approximate Manifold Regularization: Scalable Algorithm and Generalization Analysis. IJCAI, CCF A. 2019, [13] Wu Guangjun, Yun Xiaochun, Wang Shupeng, Fu Ge, Li Chao, Liu Yong, Li Binbin, Wang Yong, Zhao Zhihui, Li G, Yang J, Gama J, Natwichai J, Tong Y. Accelerating Real-Time Tracking Applications over Big Data Stream with Constrained Space. DATABASE SYSTEMS FOR ADVANCED APPLICATIONS (DASFAA 2019), PT Inull. 2019, 11446: 3-18, [14] Ding, Lizhong, Yu, Mengyang, Liu, Li, Zhu, Fan, Liu, Yong, Li, Yu, Shao, Ling, Wallach, H, Larochelle, H, Beygelzimer, A, dAlcheBuc, F, Fox, E, Garnett, R. Two Generator Game: Learning to Sample via Linear Goodness-of-Fit Test. ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 32 (NIPS 2019)null. 2019, 32: [15] Ding Lizhong, Liu Yong, Liao Shizhong, Li Yu, Yang Peng, Pan Yijie, Huang Chao, Shao Ling, Gao Xin, AAAI. Approximate Kernel Selection with Strong Approximate Consistency. THIRTY-THIRD AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE / THIRTY-FIRST INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE / NINTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCEnull. 2019, 3462-3469, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000485292603059.
[16] Zhang, Hua, She, Peng, Liu, Yong, Gan, Jianhou, Cao, Xiaochun, Foroosh, Hassan. Learning Structural Representations via Dynamic Object Landmarks Discovery for Sketch Recognition and Retrieval. IEEE TRANSACTIONS ON IMAGE PROCESSING[J]. 2019, 28(9): 4486-4499, http://dx.doi.org/10.1109/TIP.2019.2910398.
[17] Liu Yong. Multi-Class Learning using Unlabeled Samples: Theory and Algorithm. IJCAI, CCF A. 2019, [18] Ding Lizhong, Liu Zhi, Li Yu, Liao Shizhong, Liu Yong, Yang Peng, Yu Ge, Shao Ling, Gao Xin, AAAI. Linear Kernel Tests via Empirical Likelihood for High-Dimensional Data. THIRTY-THIRD AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE / THIRTY-FIRST INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE / NINTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCEnull. 2019, 3454-3461, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000485292603058.
[19] van der Kleij, Lisa A, de Bresser, Jeroen, Hendrikse, Jeroen, Siero, Jeroen C W, Petersen, Esben T, de Vis, Jill B. Fast CSF MRI for brain segmentation; Cross-validation by comparison with 3D T-1-based brain segmentation methods. PLOS ONE[J]. 2018, 13(4): https://doaj.org/article/d7575e23c2bf45dca669c6c54a7173f4.
[20] Li, Jian, Liu, Yong, Yin, Rong, Zhang, Hua, Ding, Lizhong, Wang, Weiping, Bengio, S, Wallach, H, Larochelle, H, Grauman, K, CesaBianchi, N, Garnett, R. Multi-Class Learning: From Theory to Algorithm. ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 31 (NIPS 2018)null. 2018, 31: [21] Ding Lizhong, Liao Shizhong, Liu Yong, Yang Peng, Gao Xin, AAAI. Randomized Kernel Selection with Spectra of Multilevel Circulant Matrices. THIRTY-SECOND AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE / THIRTIETH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE / EIGHTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCEnull. 2018, 2910-2917, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000485488902121.
[22] Lin Hailun, Liu Yong, Wang Weiping, Yue Yinliang, Lin Zheng. Learning Entity and Relation Embeddings for Knowledge Resolution. PROCEDIA COMPUTER SCIENCE[J]. 2017, 108: 345-354, http://dx.doi.org/10.1016/j.procs.2017.05.045.
[23] Liu, Yong, Liao, Shizhong. Granularity selection for cross-validation of SVM. INFORMATION SCIENCES[J]. 2017, 378: 475-483, http://dx.doi.org/10.1016/j.ins.2016.06.051.
[24] Liu, Yong, Liao, Shizhong, Lin, Hailun, Yue, Yinliang, Wang, Weiping. Infinite Kernel Learning: Generalization Bounds and Algorithms. AAAInull. 2017, 2280-2286, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000485630702046.
[25] Liu Yong, Liao Shizhong, Lin Hailun, Yue Yinliang, Wang Weiping. Generalization Analysis for Ranking Using Integral Operator. THIRTY-FIRST AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCEnull. 2017, 2273-2279, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000485630702045.
[26] 李健, 刘勇, 林海伦, 岳银亮, 王伟平. Efficient Kernel Selection via Spectral Analysis. IJCAInull. 2017, [27] 刘勇, 廖士中. 基于积分算子空间显式描述的框架核选择方法. 中国科学. 信息科学[J]. 2016, 46(2): 165-178, https://www.sciengine.com/doi/10.1360/N112015-00095.
[28] Liu Yong, Liao Shizhong, AAAI. Eigenvalues Ratio for Kernel Selection of Kernel Methods. PROCEEDINGS OF THE TWENTY-NINTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCEnull. 2015, 2814-2820, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000485625502120.
[29] Liu Yong. Preventing Over-Fitting of Cross-Validation with Kernel Stability. ECML, CCF B. 2014, [30] Liu Yong, Liao ShiZhong. Kernel selection with spectral perturbation stability of kernel matrix. SCIENCE CHINA-INFORMATION SCIENCES[J]. 2014, 57(11): https://www.webofscience.com/wos/woscc/full-record/WOS:000343081700007.
[31] 刘勇, 江沙里, 廖士中. 基于近似高斯核显式描述的大规模SVM求解. 计算机研究与发展[J]. 2014, 51(10): 2171-2177, http://lib.cqvip.com/Qikan/Article/Detail?id=662435608.
[32] Liu Yong. Efficient Approximation of Cross-Validation for Kernel Methods using Bouligand influence function. ICML, CCF A. 2014, [33] Liu Yong. Eigenvalues Perturbation of Integral Operator for Kernel Selection. CIKM, CCF B. 2013, [34] Liu Yong. Learning Kernels with Upper Bounds of Leave-One-Out error. CIKM, CCF B. 2011, 

科研活动

   
科研项目
( 1 ) 大规模核方法积分算子谱分析, 主持, 国家级, 2018-01--2020-12
( 2 ) 2016引进优青, 主持, 市地级, 2017-01--2021-02
( 3 ) 2019青促会人才项目, 主持, 部委级, 2019-01--2023-12
参与会议
(1)Multi-Class Learning: From Theory to Algorithm    2018年神经信息处理系统大会   2018-12-04
(2)Fast Cross Validation   2018年人工智能联合大会   2018-07-13