视频简介

工作经历

  • 中国人民大学高瓴人工智能学院,准聘副教授,副研究员,2021年7月至今
  • 中国人民大学高瓴人工智能学院,副研究员,准聘助理教授, 2020年8月-2021年7月
  • 中国科学院信息工程研究所,副研究员,2018年10月-2020年7月
  • 中国科学院信息工程研究所,助理研究员,2016年7月-2018年10月

研究方向

--大规模机器学习
通过分布式、随机、重要性采样等方式设计面向超大规模数据的大规模近似学习算法,并从数学上严格证明在何种情形下所提近似方法能保证与原始方法有相同的学习精度,即无损近似。
--自动机器学习
致力于实现机器学习算法从特征选取、模型构建到应用的全过程自动化,大幅减少机器学习算法构建中所需人工干预,大大降低机器学习算法应用门坎。
--统计机器学习理论
从统计学习角度分析机器学习算法的学习性质,即分析机器学习算法的本质因素,为新机器学习算法的设计指明方向。

学生要求

努力且有激情的学生

教授课程

  • 神经网络与深度学习,研究生课程
  • 海量数据挖掘,研究生课程
  • 深度学习导论,本科课程

科研项目

  • 大规模深度核学习的理论与算法研究, 59万,国家自然科学基金,2021.1-2024.12,负责人
  • 大规模核方法积分算子谱分析的模型选择方法,国家自然科学基金,24万,2018.1-2020.12,负责人
  • 深度神经网络结构自动搜索理论与算法研究,90万,中国科学院基础前沿科学研究计划,2019.9-2024.9,负责人
  • 大规模机器学习模型选择算法研究,中国科学院“青促会”人才项目,80万,2019.1-2022.12,负责人
  • 基于积分算子谱分析的核方法模型选择,中国科学院信息工程研究所, 引进优秀青年人才,40万,2017.1-2019.12,负责人
  • 基于贝叶斯优化的DNN模型结构自动机器学习,2019.10-2020.9,15万,腾讯犀牛鸟基金,负责人
  • 大数据和人工智能发展现状及趋势,保密局战略研究项目子课题,40万,2017.9-2020.12,子课题负责人

学术成果

2021
Operation-level Progressive Differentiable Architecture Search
Xunyu Zhu, Jian Li, Yong Liu, Weiping Wang
ICDM 2021

Federated Learning for Non-IID Data: From Theory to Algorithm
Bojian Wei, Jian Li, Yong Liu, Weiping Wang
Proceedings of the 18th Pacific Rim International Conference on Artificial Intelligence (PRICAI)
下载: 论文文档

General Approximate Cross Validation for Model Selection: Supervised, Semi-supervised and Pairwise Learning
Bowei Zhu, Yong Liu
Proceedings of The 29th ACM International Conference on Multimedia (ACM MM) (CCF A)
下载: 论文文档

Weighted distributed differential privacy ERM: Convex and non-convex
Yilin Kang, Yong Liu, Ben Niu, Weiping Wang
Computers & Security (CCF B)
下载: 论文附件
链接: 链接

Distributed Nystrom Kernel Learning with Communications
Rong Yin, Yong Liu, Weiping Wang, Dan Meng
In: Proceedings of the 28th International Conference on Machine Learning (ICML), (CCF A)
下载: 论文文档

Sharper Generalization Bounds for Clustering
Shaojie Li, Yong Liu
In: Proceedings of the 28th International Conference on Machine Learning (ICML), (CCF A)
下载: 论文文档

Effective Distributed Learning with Random Features: Improved Bounds and Algorithms
Yong Liu, Jiankun Liu, Shuqiang Wang
In: Proceedings of the 9th International Conference on Learning Representations (ICLR)
下载: 论文附件

2020
Extremely sparse Johnson- Lindenstrauss transform: From Theory to Algorithm
Rong Yin, Yong Liu, Weiping Wang, Dang Men
In: Proceedings of the 20th IEEE International Conference on Data Mining (ICDM), 2020:1376-1381 (CCF B)
下载: 论文附件

Sketch Kernel Ridge Regression using Circulant Matrix: Algorithm and Theory.
Rong Yin, Yong Liu, Weiping Wang, et al
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 31(9): 3512-3524, 2020 (SCI 一区)
下载: 论文附件

Approximate Kernel Selection via Matrix Approximation.
Lizhong Ding, Shizhong Liao, Yong Liu, Li Liu, Fan Zhu, Yazhou Yao, Ling Shao, Xin Gao
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2020. (CCF B)
下载: 论文附件

Automated Spectral Kernel Learning.
Jian Li, Yong Liu, Weiping Wang
In: Proceedings of 34th Conference on Artificial Intelligence (AAAI), 2020: 4618-4625. (CCF A)
下载: 论文附件

Divide-and-Conquer Learning with Nyström: Optimal Rate and Algorithm
Rong Yin, Yong Liu, Lijing Lu, Weiping Wang, Dan Meng
Proceedings of 34th Conference on Artificial Intelligence (AAAI), 2020: 6696-6703. (CCF A)
下载: 论文附件

Fast Cross-Validation for Kernel-based Algorithms
Yong Liu, Shizhong Liao, Shali Jiang, Lizhong Ding, Hailun Lin, Weiping Wang
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020,42(5):1083-1096. (CCF A)
下载: 论文附件

2019
Kernel Stability for Model Selection in Kernel-based Algorithms.
Yong Liu, Shizhong Liao, Hua Zhang, et al
IEEE Transactions on Cybernetics (TCYB), 2019. Online, DOI: 10.1109/TCYB.2019. 2923824. (SCI一区)
下载: 论文附件

Approximate Kernel Selection with Strong Approximate Consistency.
Lizhong Ding, Yong Liu, Shizhong Liao, Yu Li, Peng Yang, Yijie Pan, Chao Huang, Ling Shao, Xin Gao
In: Proceedings of 33th Conference on Artificial Intelligence (AAAI), 2019: 3462-3469.
下载: 论文附件

Linear Kernel Tests via Empirical Likelihood for High-Dimensional Data.
Lizhong Ding, Zhi Liu, Yu Li, Shizhong Liao, Yong Liu, Peng Yang, Ge Yu, Ling Shao, Xin Gao
In: Proceedings of 33th Conference on Artificial Intelligence (AAAI), 2019:3454-3461.
下载: 论文附件

Learning Structural Representations via Dynamic Object Landmarks Discovery for Sketch Recognition and Retrieval.
Hua Zhang, Peng She, Yong Liu, Jianhou Gan, Xiaochun Cao, Hassan Foroosh
IEEE Transactions on Image Processing (TIP), 2019, 28(9):4486-4499. (CCF A)
下载: 论文附件

Approximate Manifold Regularization: Scalable Algorithm and Generalization Analysis.
Jian Li, Yong Liu, Rong Yin, et al
In: Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI), 2019:2887-2893. (CCF A)
下载: 论文附件

Multi-Class Learning using Unlabeled Samples: Theory and Algorithm.
Jian Li, Yong Liu, Rong Yin , Weiping Wang
Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI), 2019: 2880-2886. (CCF A))
下载: 论文附件

Two Generator Game: Learning to Sample via Linear Goodness-of-Fit Test.
Lizhong Ding, Mengyang Yu, Li Liu, Fan Zhu, Yong Liu, Yu Li, Ling Shao
Advances in Neural Information Processing Systems 32 (NeurIPS), 2019:11257-11268. (CCF A)
下载: 论文附件

2018
Randomized Kernel Selection With Spectra of Multilevel Circulant Matrices.
Lizhong Ding, Shizhong Liao, Yong Liu, Peng Yang, Xin Gao
Proceedings of 32rd Conference on Artificial Intelligence (AAAI), 2018: 2910-2917.

Fast Cross-Validation.
Yong Liu, Hailun Lin, Lizhong Ding, et al
In: Proceedings of the 27th International Joint Conference on Artificial Intelligence (IJCAI), 2910-2917, 2018. (CCF A)
下载: 论文附件

Multi-Class Learning: From Theory to Algorithm.
-Jian Li, Yong Liu, Rong Yin, et al
Advances in Neural Information Processing Systems 31 (NeurIPS), 1593-1602, 2018. (CCF A)
下载: 论文附件

2017
Granularity selection for cross-validation of SVM.
Yong Liu, Shizhong Liao
Information Sciences, 2017, 475-483. ( CCF B)
下载: 论文附件

Efficient Kernel Selection via Spectral Analysis.
Jian Li, Yong Liu, Hailun Lin
In: Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence (IJCAI), 2017: 2124-2130. (CCF A)
下载: 论文附件

Infinite Kernel Learning: Generalization Bounds and Algorithms.
Yong Liu, Shizhong Liao, Hailun Lin, et al
In: Proceedings of the 31st AAAI Conference on Artificial Intelligence (AAAI), 2017, 2280-2286. (CCF A)
下载: 论文附件

Generalization Analysis for Ranking Using Integral Operator,
Yong Liu, Shizhong Liao, Linhai Lun, et al
In: Proceedings of the 31st AAAI Conference on Artificial Intelligence (AAAI), 2017: 2273-2279. (CCF A)
下载: 论文附件

2016
基于积分算子空间显示描述的框架核选择方法
刘勇,廖士中
中国科学: 信息科学, 2016, 46(2), 165–178. (CCF A 中文期刊)
下载: 论文附件

2015
Eigenvalues ratio for kernel selection of kernel methods
Yong Liu, Shizhong Liao
In: Proceedings of the 29th AAAI Conference on Artificial Intelligence (AAAI), 2015: 2814–2820. (CCF A)
下载: 论文附件

2014
Preventing Over-Fitting of Cross-Validation with Kernel Stability
Yong Liu, Shizhong Liao
In: Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML), 2014:290–305. (CCF B)
下载: 论文附件

基于近似高斯核显式描述的大规模 SVM 求解.
刘勇,江沙里,廖士中
计算机研究与发展,2014, 51(10):2171-2177. (CCF A 中文期刊)
下载: 论文附件

Kernel selection with spectral perturbation stability of kernel matrix
Yong Liu, Shizhong Liao
Science China Information Sciences, 2014, 57: 112103(10) (CCF B)
下载: 论文附件

Efficient Approximation of Cross-validation for Kernel Methods using Bouligand Influence Function
Yong Liu, Shali Jiang, Shizhong Liao
In: Proceedings of The 31st International Conference on Machine Learning (ICML). 2014, 324-332. (CCF A)
下载: 论文附件

2013
Eigenvalues Perturbation of Integral operator for Kernel Selection
Yong Liu, Shali Jiang, Shizhong Liao
In: Proceedings of the 22nd ACM International Conference on Information and Knowledge management (CIKM), 2013:2189-2198. (CCF B)
下载: 论文附件

2011
Learning kernels with upper bounds of leave-one-out error
Yong Liu, Shizhong Liao, Yuexuan-Hou
In: Proceedings of the 20th ACM International Conference on Information and Knowledge management (CIKM), 2011:2205-2208. (CCF B)
下载: 论文附件

荣誉奖励

  • 2019年中国科学院“青促会”人才称号
  • 2017年中国科学院信息工程研究所“引进优秀人才”称号
  • 2012年博士研究生国家学术新人奖
  • Best Paper Award of The 2nd PAKDD Doctoral Symposium on Data Mining

社会兼职

  • AAAI 2021 高级程序委员
  • IJCAI 2020,IJCAI 2019 高级程序委员
  • NeurIPS 2020, 2021, 程序委员
  • AAAI 2020,程序委员
  • ICML 2019, 2020, 2021,程序委员
  • ICLR 2021,程序委员

contact

电话:--

邮箱:liuyonggsai@ruc.edu.cn

个人网页:https://iie-liuyong.github.io/

办公地址:北京市海淀区中关村文化大厦2103