个人简介
哈尔滨工业大学（深圳）计算机科学与技术学院教授，博士生导师，博士，深圳市重点实验室主任，大数据技术研究中心主任。他于2004年6月毕业于上海交通大学计算机科学与工程系，获工学博士学位。2002年他得到 IBM 公司的“内地访问学者赴港计划”资助，赴香港大学进行访问研究，作为技术骨干参与了两项香港特区政府创新科技基金项目的研发工作。他于2004年8月加入哈尔滨工业大学深圳研究生院，从事博士后研究工作，并于2006年7月留校任副教授，2008年4月被破格评为博士生导师，2010年7月被破格评为教授。自2013年起，按深圳研究生院的学科总体规划，负责筹建大数据技术研究中心。近年来，作为负责人主持了十余项国家 863 计划、国家自然科学基金、国际合作等科技项目的研发工作，在包括IEEE Transactions on Knowledge and Data Engineering、TNN、SIGKDD等重要国际期刊或学术会议上发表论文80 余篇，其中五十余篇被SCI检索。作为技术负责人研发的国内第一个开源数据挖掘软件平台已被国内外100多家单位应用。2006年5月，叶允明博士获得了美国IBM公司的UIMA创新基金奖（全球共20人获此奖项）。2008年他获得了黑龙江省高校科学技术奖（一等奖）、黑龙江省自然科学奖（二等奖）。2016年深圳市自然科学奖（二等奖）。2018年广东省自然科学奖（二等奖）。
研究领域
数据挖掘，互联网搜索技术，时空大数据深度学习，海量数据管理
近期论文
查看导师新发文章
（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）
Xiaojun Chen, Xiaofei Xu, Joshua Zhexue Huang, Yunming Ye, TW-k-Means: Automated Two-Level Variable Weighting Clustering Algorithm for Multiview Data. IEEE Transactions on Knowledge and Data Engineering. 25(4): 932-944 (2013)
Xutao Li, Michael K. Ng, Yunming Ye, MultiComm: Finding Community Structurein Multi-Dimensional Networks. IEEE Transactions on Knowledge and Data Engineering. 26(4): 929-941 (2014)
Haijun Zhang, Shuang Wang, Mingbo Zhao, Xiaofei Xu, Yunming Ye, Locality Reconstruction Models for Book Representation. IEEE Transactions on Knowledge and Data Engineering. 30(10): 1873-1886 (2018)
Xiaohui Huang, Yunming Ye, Haijun Zhang, Extensions of Kmeans-Type Algorithms: A New Clustering Framework by Integrating Intracluster Compactness and Intercluster Separation. IEEE Transactions on Neural Networks and Learning Systems. 25(8): 1433-1446 (2014)
Qingyao Wu, Yunming Ye, Haijun Zhang, Tommy W. S. Chow, Shen-Shyang Ho, ML-TREE: A Tree-Structure-Based Approach to Multilabel Learning. IEEE Transactions on Neural Networks and Learning Systems. 26(3): 430-443 (2015)
Xutao Li, Yunming Ye, Michael K. Ng, MultiVCRank With Applications to Image Retrieval. IEEE Transactions on Image Processing. 25(3): 1396-1409 (2016)
Xutao Li, Michael K. Ng, Gao Cong, Yunming Ye, Qingyao Wu, MR-NTD: Manifold Regularization Nonnegative Tucker Decomposition for Tensor Data Dimension Reduction and Representation. IEEE Transactions on Neural Networks and Learning Systems. 28(8): 1787-1800 (2017)
Bowen Zhang, Xutao Li, Xiaofei Xu, Ka-Cheong Leung, Zhiyao Chen, Yunming Ye, Knowledge Guided Capsule Attention Network for Aspect-Based Sentiment Analysis. IEEE/ACM Transactions on Audio, Speech and Language Processing. 28: 2538-2551 (2020)
Xiaofei Yang, Yunming Ye, Xutao Li, Raymond Y. K. Lau, Xiaofeng Zhang, Xiaohui Huang, Hyperspectral Image Classification With Deep Learning Models. IEEE Transactions on Geoscience and Remote Sensing. 56(9): 5408-5423 (2018)
Xiaofei Yang, Xutao Li, Yunming Ye, Raymond Y. K. Lau, Xiaofeng Zhang, Xiaohui Huang, Road Detection and Centerline Extraction Via Deep Recurrent Convolutional Neural Network U-Net. IEEE Transactions on Geoscience and Remote Sensing. 57(9): 7209-7220 (2019)
Huifeng Guo, Ruiming Tang, Yunming Ye, Zhenguo Li, Xiuqiang He, DeepFM: A Factorization-Machine based Neural Network for CTR Prediction. Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, IJCAI 2017. 2017: 1725-1731
Baoquan Zhang, Xutao Li, Shanshan Feng, Yunming Ye, Rui Ye, MetaNODE: Prototype Optimization as a Neural ODE for Few-Shot Learning, Thirty-Sixth AAAI Conference on Artificial Intelligence, AAAI 2022. 2022
Zhichao Huang, Xutao Li, Yunming Ye, Michael K. Ng, MR-GCN: Multi-Relational Graph Convolutional Networks based on Generalized Tensor Product. Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, IJCAI 2020. 2020: 1258-1264
Baoquan Zhang, Xutao Li, Yunming Ye, Zhichao Huang, Lisai Zhang, Prototype Completion With Primitive Knowledge for Few-Shot Learning. IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2021. 2021: 3754-3762
Yuan Yao, Yu Zhang, Xutao Li, Yunming Ye, Heterogeneous Domain Adaptation via Soft Transfer Network. Proceedings of the 27th ACM International Conference on Multimedia, MM 2019. ACM Multimedia 2019: 1578-1586
京公网安备 11010802027423号