博奥体育

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导师名录-张志华

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博奥体育-

姓名

张志华

性别

所属院系

数学学院概率统计系

最高学位

博士

毕业学校

西安交通大学

博导

职称

教授

职务

 

电子邮箱

zhzhang@math.pku.edu.cn

办公室地址

理科1号楼1419E

本科生教学1

统计数据科学导论

本科生教学2

深度学习:算法与应用

本科生教学3

高维概率论

本科生教学4

强化学习:理论与算法

主要研究方向1

机器学习

研究方向2

贝叶斯统计

主要研究方向3

自然语言处理

主要研究方向4

 

备注

博奥体育数学学院概率统计系

教育经历

2001 西安交通大学 博士

1994 四川大学 硕士

1991 成都地质学院 学士

学术成就

2018年 北京市源学者计划

主要从事人工智能、机器学习与应用统计学领域的教学与研究,迄今在国际重要学术期刊和重要的计算机学科会议上发表 70 余篇论文。

论文及专著

 

 

专著:

博奥体育:Ian Goodfellow,Yoshua Bengio,张志华审校,《深度学习deep learning》,北京:人民邮电出版社,2017年。

 

Ye H., Xie G., Luo L., Zhang Z.,Fast stochastic second-order method logarithmic in condition number,Pattern Recognition,2019,88:629-642.

Luo L., Zhu W., Zhang W., Zhang T., Zhang Z., Pei J.,Sketched follow-the-regularized-leader for online factorization machine,Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining,2018:1900-1909.

Ye H., Li Y., Chen C., Zhang Z.,Fast Fisher discriminant analysis with randomized algorithms,Pattern Recognition,2017,72:82-92.

Ye H., Luo L., Zhang Z.,Approximate Newton methods and their local convergence,34th International Conference on Machine Learning, ICML 2017,2017,8:5981-6004.

Chen Z., Luo L., Zhang Z.,Communication lower bounds for distributed convex optimization: Partition data on features,31st AAAI Conference on Artificial Intelligence, AAAI 2017,2017:1812-1818.

Peng C., Zhang Z., Wong K.-C., Zhang X., Keyes D.E.,A scalable community detection algorithm for large graphs using stochastic block models,Intelligent Data Analysis,2017,21(6):1463-1485.

Wang S., Zhang Z., Zhang T.,Towards more efficient SPSD matrix approximation and CUR matrix decomposition,Journal of Machine Learning Research,2016,17:1-49.

Wang S., Luo L., Zhang Z.,SPSD matrix approximation vis column selection: Theories, algorithms, and extensions,Journal of Machine Learning Research,2016,17:.

Jiang W., Xie C., Zhang Z.,Wishart mechanism for differentially private principal components analysis,30th AAAI Conference on Artificial Intelligence, AAAI 2016,2016:1730-1736.

Zhao S., Xie C., Zhang Z.,A scalable and extensible framework for superposition-structured models,30th AAAI Conference on Artificial Intelligence, AAAI 2016,2016:2372-2378.

Fu T., Luo L., Zhang Z.,Quasi-Newton hamiltonian monte carlo,32nd Conference on Uncertainty in Artificial Intelligence 2016, UAI 2016,2016:212-221.

Zhang Z., Li J.,Compound poisson processes, latent shrinkage priors and Bayesian nonconvex penalization,Bayesian Analysis,2015,10(2):247-274.

Luo L., Xie Y., Zhang Z., Li W.-J.,Support matrix machines,32nd International Conference on Machine Learning, ICML 2015,2015,2:938-947.

Peng C., Zhang Z., Wong K.-C., Zhang X., Keyes D.E.,A scalable community detection algorithm for large graphs using stochastic block models,IJCAI International Joint Conference on Artificial Intelligence,2015:2090-2096.

Zhang Z.,The matrix ridge approximation: algorithms and applications,Machine Learning,2014,97(3):227-258.

Wang S., Zhang Z.,Efficient algorithms and error analysis for the modified Nystr?m Method,Journal of Machine Learning Research,2014,33:996-1004.

Xie C., Yan L., Li W.-J., Zhang Z.,Distributed power-law graph computing: Theoretical and empirical analysis,Advances in Neural Information Processing Systems,2014,2:1673-1681.

Tu B., Zhang Z., Wang S., Qian H.,Making fisher discriminant analysis scalable,31st International Conference on Machine Learning, ICML 2014,2014,3:2614-2632.

Wang S., Tu B., Xu C., Zhang Z.,Exact Subspace clustering in linear time,Proceedings of the National Conference on Artificial Intelligence,2014,3:2113-2120.

Wang S., Zhang C., Qian H., Zhang Z.,Using the matrix ridge approximation to speedup Determinantal point processes sampling algorithms,Proceedings of the National Conference on Artificial Intelligence,2014,3:2121-2127.

Wang S., Zhang C., Qian H., Zhang Z.,Improving the modified Nystr?m method using spectral shifting,Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining,2014:611-620.

Zhang Z., Wang D., Dai G., Jordan M.I.,Matrix-variate dirichlet process priors with applications,Bayesian Analysis,2014,9(2):259-286.

Zhang Z., Chen C., Dai G., Li W.-J., Yeung D.-Y.,Multicategory large margin classification methods: Hinge losses vs. coherence functions,Artificial Intelligence,2014,215:55-78.

近五年承担的主要项目

2018-2021年《大规模优化问题的近似牛顿方法:理论与实现,国家自然科学基金面上项目(项目号:11771002

社会兼职

2013~ Journal of Machine Learning Research 执行编委

美国 “数学评论” 的特邀评论员。

 

 

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