个人简历

程祥
老师类型 硕导、博导
所属中心 交换与智能控制研究中心
职称 副教授
承担课程 数据结构、大数据技术与应用、互联网新技术及服务
个人介绍
2013年获得北京邮电大学计算机博士学位，并获得北京邮电大学优秀博士学位论文奖。攻读博士期间，获得国家留学基金委联合培养博士项目资助，赴美国麻省大学阿默斯特分校（UMASS Amherst）学习一年。博士毕业后，进入北京邮电大学网络与交换技术国家重点实验室工作。主要研究方向包括大数据、人工智能、网络服务。在包括IEEE International Conference on Data Engineering (IEEE ICDE)、IEEE International Conference on Data Mining (IEEE ICDM)、International Conference on Information and Knowledge Management (CIKM)、AAAI Conference on Artificial Intelligence (AAAI)、International Joint Conference on Artificial Intelligence (IJCAI)、Conference on Empirical Methods in Natural Language Processing (EMNLP)、IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE)、IEEE Transactions on Services Computing （IEEE TSC）、IEEE Transactions on Dependable and Secure Computing (IEEE TDSC)、Elsevier Computers and Security、ACM SIGCOMM Computer Communication Review (CCR)、IEEE/ACM Transaction on Networking (TON)、Elsevier Computer Networks等在内的国际知名会议和期刊上发表论文50余篇，论文被引总计超过1000次。担任IEEE TKDE、IEEE TSC、IEEE TDSC、IEEE TPDS、IEEE/ACM TON、IEEE TMC、ACM TWEB等国际知名期刊审稿人。
承担课题
主持大数据、人工智能、网络服务相关的国家自然科学基金青年基金、国家自然科学基金面上项目、中兴通讯产学研合作项目各一项，作为科研骨干参与多项国家级和省部级科研项目。
Google个人学术档案：
https://scholar.google.com/citations?hl=en&user=H39lTV8AAAAJ&view_op=list_works&sortby=pubdate

研究领域

大数据、人工智能、网络服务

近期论文

[1] Qiyu Ren, Xiang Cheng*, Sen Su, Multi-Task Learning with Generative Adversarial Training for Multi-Passage Machine Reading Comprehension, AAAI Conference on Artificial Intelligence(AAAI) 2020, New York, USA, February 7-12. （CCF A）
[2] Ruiping Li, Xiang Cheng*, DIVINE: A Generative Adversarial Imitation Learning Framework for Knowledge Graph Reasoning, Conference on Empirical Methods in Natural Language Processing (EMNLP) 2019, Hong Kong, China, November 3-7. （CCF B）
[3] Sen Su, Ningning Jia, Xiang Cheng*, Shuguang Zhu, Ruiping Li, Exploring Encoder-Decoder Model for Distant Supervised Relation Extraction, International Joint Conference on Artificial Intelligence (IJCAI) 2018, Stockholm, Sweden, July 13-19. （CCF A）
[4] Xiang Cheng, Shuguang Zhu, Sen Su, Gang Chen, A Multi-Objective Optimization Approach for Question Routing in Community Question Answering Services, IEEE Transactions on Knowledge and Data Engineering (TKDE), 2017, 29(9), pp. 1779-1792. （CCF A）
[5] Xiang Cheng, Sen Su, Lixin Gao, Jiangtao Yin, Co-ClusterD: A Distributed Framework for Data Co-Clustering with Sequential Updates, IEEE Transactions on Knowledge and Data Engineering (TKDE), 2015, 27 (12), pp. 3231-3244. （CCF A）
[6] Jianyu Yang, Xiang Cheng*, Sen Su, Rui Chen, Qiyu Ren, Yuhan Liu, Collecting Preference Rankings under Local Differential Privacy, IEEE International Conference on Data Engineering (ICDE) 2019, Macau, China, April 8-12. （CCF A）
[7] Xiang Cheng, Peng Tang, Sen Su, Rui Chen, Zequn Wu, Binyuan Zhu, Multi-Party High-Dimensional Data Publishing under Differential Privacy, IEEE Transactions on Knowledge and Data Engineering (TKDE), 2019. （CCF A）
[8] Peng Tang, Xiang Cheng*, Sen Su, Rui Chen, Huaxi Shao, Differentially Private Publication of Vertically Partitioned Data, IEEE Transactions on Dependable and Secure Computing (TDSC), 2019. （CCF A）
[9] Xiang Cheng, Sen Su, Shengzhi Xu, Li Xiong, Ke Xiao, Mingxing Zhao, A Two-Phase Algorithm for Differentially Private Frequent Subgraph Mining, IEEE Transactions on Knowledge and Data Engineering (TKDE), 2018, 30(8), pp. 1411-1425.（CCFA）