基本信息

张燕明 男 硕导 中国科学院自动化研究所
电子邮件: ymzhang@nlpr.ia.ac.cn
通信地址: 中关村东路95号智能化大厦601
邮政编码: 100090
电子邮件: ymzhang@nlpr.ia.ac.cn
通信地址: 中关村东路95号智能化大厦601
邮政编码: 100090
研究领域
机器学习方法及其在文档分析与识别、计算机视觉等问题中的应用.目前,主要研究内容包括:结构预测方法,图神经网络,概率图模型及其在文档版面分析、草图分析、数学公式/流程图/表格识别等问题中的应用.
招生信息
招生专业
081104-模式识别与智能系统
招生方向
图表示学习,结构预测及其在文档分析中的应用机器学习与模式识别
教育背景
2009-09--2010-01 香港科技大学 访问学生 (with Prof. Dit-Yan Yeung)2005-09--2011-06 中国科学院自动化研究所 博士 (导师:刘成林)2000-09--2004-06 北京邮电大学 学士
工作经历
工作简历
2017-11~现在, 中国科学院自动化研究所, 副研究员2016-04~2017-05,Georgia Institute of Technology, 公派访问学者 (with Prof. Le Song)2011-09~2017-10,中国科学院自动化研究所, 助理研究员
出版信息
部分发表论文
(1) Instance GNN: a learning framework for joint symbol segmentation and recognition in online handwritten diagrams, IEEE Transactions on Multimedia (TMM), 2021, 第 2 作者(2) Region ensemble network for MCI conversion prediction with a relation regularized loss, International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2021, 第 2 作者(3) Joint stroke classification and text line grouping in online handwritten documents with edge pooling attention networks, Pattern Recognition (PR), 2021, 第 2 作者(4) Graph-to-graph: towards accurate and interpretable online handwritten mathematical expression recognition, AAAI Conference on Artificial Intelligence (AAAI), 2021, 第 3 作者(5) Handwritten mathematical expression recognition via paired adversarial learning, International Jounal of Computer Vision (IJCV), 2020, 第 3 作者(6) Multi-view semi-supervised 3D whole brain segmentation with a self-ensemble network, International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2019, 第 2 作者(7) Image-to-markup generation via paired adversarial learning, European conference on machine learning and principles and practice of knowledge discovery in databases (ECML), 2018, 第 3 作者(8) Deep hyperspherical learning, Advances in Neural Information Processing Systems (NIPS), 2017, 第 2 作者(9) Drawing and recognizing chinese characters with recurrent neural network, IEEE transactions on pattern analysis and machine intelligence (TPAMI), 2017, 第 3 作者(10) Recurrent hidden semi-Markov model, International Conference on Learning Representations (ICLR), 2017, 第 3 作者(11) Adaptive spatial pooling for image classification, Pattern Recognition (PR), 2016, 第 2 作者(12) Large-scale graph-based semi-supervised learning via tree Laplacian solver, AAAI Conference on Artificial Intelligence (AAAI), 2016, 第 1 作者(13) MTC: A fast and robust graph-based transductive learning method, IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2015, 第 1 作者(14) Minimum-risk training for semi-Markov conditional random fields with application to handwritten Chinese/Japanese text recognition, Pattern Recognition (PR), 2014, 第 2 作者(15) Learning locality preserving graph from data, IEEE Transactions on Systems, Man, and Cybernetics, Part B (TSMCB), 2014, 第 1 作者(16) Approximate kNN graph construction with locality sensitive hashing, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML), 2013, 第 1 作者(17) Fast graph-based transductive learning via minimum tree cut, International Conference on Data Mining (ICDM), 2011, 第 1 作者(18) Transductive learning on adaptive graphs, AAAI Conference on Artificial Intelligence (AAAI), 2010, 第 1 作者(19) Subspace regularization: a new semi-supervised learning method, European conference on machine learning and principles and practice of knowledge discovery in databases (ECML), 2009, 第 1 作者
科研活动
科研项目
( 1 ) 基于深层模型的结构预测方法研究, 主持, 国家级, 2018-01--2022-06( 2 ) 基于云计算的移动办公智能交互技术与系统, 参与, 国家级, 2018-08--2022-01( 3 ) 面向开放环境的自适应感知, 参与, 国家级, 2019-06--2023-06
指导学生
现指导学生
杨宇婷 硕士研究生 081203-计算机应用技术
刘靖宇 硕士研究生 085400-电子信息
任敏思 硕士研究生 081104-模式识别与智能系统