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马海平(讲师)

2021-04-02


姓名

马海平

职称

讲师

导师类别

硕导

邮箱

hpma@ahu.edu.cn

个人简介

马海平,女,博士,安徽大学硕士生导师。20136月获中国科学技术大学计算机科学与技术学院博士学位,攻读博士学位期间,获得中国科学院院长奖学金(研究生奖学金中含金量最高的奖项之一)以及谷歌Anita Borg计算机学科杰出女性奖学金(女性研究生奖学金中含金量最高的奖项之一)。20137-20202月就职于科大讯飞研究院,先后担任高级研究员,研究主管,并负责讯飞AI数字营销平台的智能广告算法研发研发以及个性化教育算法研发。20202月以副教授层次人才引进至安徽大学,主要研究兴趣为数据挖掘及个性化教育。目前正在主持国家自然科学基金、安徽省自然科学基金项目、安徽省人工智能研究院高校协同创新项目、CCF-腾讯犀牛鸟科研基金、步步高-安徽大学联合研发项目等6项,作为骨干成员参与国家重点研发计划子课题项目及国家自然科学基金项目若干项。担任CCF大数据专委会通讯委员、CCF青年科学家论坛合肥分论坛学术委员会委员、TEVCACM TOISWWWKDDSIGIRCIKMICDM等国际顶级会议及期刊30余篇,已出版著作3本,担任高水平人工智能国际学术会议(IJCAIAAAI)”程序委员会委员(PC Member)。欢迎对数据挖掘、人工智能、以及智能教育领域有追求,有科研激情,以及产业化落地感兴趣的同学加入我们团队,优秀的同学有机会能与百度、腾讯等知名企业联合培养。

教育背景

(1) 2008-92013-5, 中国科学技术大学, 计算机应用技术, 博士

(2) 2004-92008-6, 安徽大学, 计算机科学与技术, 学士

工作经历

(1) 2020-2至现在, 安徽大学, 物质科学与信息技术研究院, 讲师

(2) 2015-72020-2, 科大讯飞股份有限公司, 科大讯飞研究院, 研究主管

(3) 2013-72015-7, 科大讯飞股份有限公司, 科大讯飞研究院, 高级研究员

(4) 2011-32012-3, 诺基亚中国研究院, 诺基亚中国研究院, 实习研究员

(5) 2010-32010-9, 阿里巴巴(中国), 阿里巴巴B2B, 实习研究员

代表性学术成果

      

(1)   Haiping Ma, Jingyuan Wang, Hengshu Zhu*, Xin Xia, Haifeng Zhang, Xingyi Zhang*, Lei Zhang. Reconciling Cognitive Modeling with Knowledge Forgetting: A Continuous Time-aware Neural Network Approach. The 31st International Joint Conference on Artificial Intelligence (IJCAI2022) (CCF推荐A类会议). Accepted.

(2)   Haiping Ma, Manwei Li,  Le Wu, Haifeng Zhang, Yunbo Cao, Xingyi Zhang* and Xuemin Zhao. Knowledge-Sensed Cognitive Diagnosis for Intelligent Education Platforms. 31st ACM International Conference on Information and Knowledge Management (CIKM2022)(CCF推荐B类会议). Accepted.

(3)   Haiping Ma, Jinwei Zhu, Shangshang Yang, Qi Liu, Haifeng Zhang, Xingyi Zhang, Yunbo Cao and Xuemin Zhao. A Prerequisite Attention Model for Knowledge Proficiency Diagnosis of Students. 31st ACM International Conference on Information and Knowledge Management (CIKM2022)(CCF推荐B类会议). Accepted.

(4)   Haiping Ma, Haoyu Wei, Ye Tian, Ran Cheng, Xingyi Zhang*. A multi-stage evolutionary algorithm for multi-objective optimization with complex constraints, Information Sciences, 2021, (560): 68-91.

(5)   Haiping Ma, Zhenjie LiuXingyi Zhang*, Lei ZhangHao Jiang. Balancing topology structure and node attribute in evolutionary multi-objective community detection for attributed networks. Knowledge Based System. 227: 107169 (2021).

(6) Haiping Ma, Haipeng Yang, Kefei Zhou, Lei Zhang*, Xingyi Zhang. A local-to-global scheme-based multi-objective evolutionary algorithm for overlapping community detection on large-scale complex networks. Neural Computing and Applications2020:1-15. 10.1007/s00521-020-05311-w. (期刊论文, SCI, 中科院二区)

(7) Haiping Ma, Huanhuan Cao, Qiang Yang, Enhong Chen, Jilei Tian. A Habit Mining Approach for Discovering Similar Mobile Users. The 21st International World Wide Web Conference (WWW’2012), April 16-20, 2012, Lyon, France. (会议论文, CCF推荐A类会议)

(8) Haiping Ma, Enhong Chen*, Linli Xu, Hui Xiong. Capturing correlations of multiple labels: A generative probabilistic model for multi-label learning. Neurocomputing, 2012, 92: 116-123. (期刊论文, SCI, 中科院二区)

(9) Haoyang Bi, Haiping MaZhenya Huang*, Yu Yin, Qi Liu, Enhong Chen, Yu Su, Shijin Wang. Quality meets Diversity: A Model-Agnostic Framework for Computerized Adaptive Testing. The 20th IEEE International Conference on Data Mining (ICDM’2020), November 17-20, 2020, Sorrento, Italy.(会议论文,CCF推荐B类会议)

(10) Hongke ZhaoXinpeng WuChuang ZhaoLei ZhangHaiping MaFan Cheng:CoEA: A Cooperative-Competitive Evolutionary Algorithm for Bidirectional Recommendations. IEEE Trans. Evol. Comput. 26(1): 28-42 (2022)

(11) YeTian, Haowen Chen, Haiping Ma, Xingyi Zhang, Kay Chen Tan, Yaochu Jin. Integrating Conjugate Gradients into Evolutionary Algorithms for Large-Scale Continuous Multi-Objective Optimization. IEEE/CAA Journal of Automatica Sinica. Accept.

(12) Yan ZhuangQi Liu, Zhenya Huang, Zhi Li, Shuanghong Shen, Haiping Ma. Fully Adaptive Framework: Neural Computerized Adaptive Testing for Online Education. AAAI2022.(CCF推荐A类会议)

(13) Shuai WangKun ZhangLe WuHaiping MaRichang HongMeng Wang. Privileged Graph Distillation for Cold Start Recommendation. SIGIR 2021: 1187-1196.

(14) 磊,刘庆,杨尚尚,杨海鹏,程凡,马海平*. 基于双编码的重叠社团检测多目标优化方法.电子学报(已录用)

(15) Jinze Wu, Zhenya Huang, Qi Liu*, Defu Lian, Hao Wang, Enhong Chen, Haiping Ma and Shijin Wang. Federated Deep Knowledge Tracing. The 14th ACM Conference on Web Search and Data Mining (WSDM’2021), Jerusalem, Israel, March 8-12 2021. Accepted.

(16) Ye Tian, Ruchen Liu, Xingyi Zhang*, Haiping Ma, Kay Tan, Yaochu Jin. A Multi-Population Evolutionary Algorithm for Solving Large-Scale Multi-Modal Multi-Objective Optimization Problems.IEEE Transactions on Evolutionary Computation (TEVC). 2020:1-15.10.1109/TEVC.2020.3044711.

(17) Shiwei Tong, Qi Liu*, Wei Huang, Zhenya Huang, Enhong Chen, Chuanren Liu, Haiping Ma, and Shijin Wang. Structure-based Knowledge Tracing: An Influence Propagation View. The 20th IEEE International Conference on Data Mining series (ICDM’2020), November 17-20, 2020, Sorrento, Italy. Accepted.

(18) Shuanghong Shen, Qi Liu, Enhong Chen*, Han Wu, Zhenya Huang, Weihao Zhao, Yu Su, Haiping Ma, Shijin Wang. Convolutional Knowledge Tracing: Modeling Individualization in Student Learning Process. The 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR’2020), Xi’an, China, July 25-30, 2020.

(19) Zhenya Huang, Qi Liu, Yuying Chen, Le Wu, Keli Xiao, Enhong Chen*, Haiping Ma, Guoping Hu. Learning or Forgetting? A Dynamic Approach for Tracking the Knowledge Proficiency of Students. ACM Transactions on Information Systems (ACM TOIS), 2020, 38(2): 1-33. 10.1145/3379507.

(20) Lei Zhang, Fengiiao Sun, Fan Cheng*, Haiping Ma, Xiaoyan Sun. An Overlapping Community Detection Based Multi-Objective Evolutionary Algorithm for Diversified Social Influence Maximization. Congress on Evolutionary Computation 2020 (CEC’2020). Accept.

(21) Song Cheng, Qi Liu*, Enhong Chen, Zai Huang, Zhenya Huang, Yiying Chen, Haiping Ma, Guoping Hu. DIRT: Deep Learning Enhanced Item Response Theory for Cognitive Diagnosis. The 28th ACM International Conference on Information and Knowledge Management (CIKM’2019), Beijing, China, November 3-7, 2019.

(22) Qi Liu, Shiwei Tong, Chuanren Liu, Hongke Zhao, Enhong Chen*, Haiping Ma, Shijin Wang. Exploiting Cognitive Structure for Adaptive Learning. In Proceedings of the 25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD’19), Anchorage, AK, USA, 2019.

(23) Zai Huang, Zhen Pan, Qi Liu*, Bai Long, Haiping Ma, Enhong Chen. An Ad CTR Prediction Method Based on Feature Learning of Deep and Shallow Layers. The 26th ACM International Conference on Information and Knowledge Management (CIKM’2017), 2119-2122, Singapore, November 6-10, 2017.

(24) Zhen Pan, Enhong Chen*, Qi Liu, Tong Xu, Haiping Ma, Hongjie Lin. Sparse Factorization Machines for Click-through Rate Prediction. The 16th IEEE International Conference on Data Mining (ICDM’2016): 400-409, Barcelona, Spain, December 12-15, 2016.

(25) Qi Liu#Haiping Ma#, Enhong Chen, Hui Xiong. (2013). A Survey of Context-Aware Mobile Recommendations. International Journal of Information Technology and Decision Making (IJITD), 2013, 12(1): 139-172.

代表性专著:

马海平, 于俊, 吕昕, 向海. Spark机器学习进阶实战, 机械工业出版社, 2018.



在研课题

(1)国家自然科学基金青年项目,6210023049,领域知识融合的学习者认知建模及应用研究,2022-012024-1230万,主持,在研

(2)安徽省自然科学基金青年项目,2108085QF272,面向在线教育的用户认知水平建模研究,2021.012022-1210万,主持,在研

(3)安徽高校协同创新项目,GXXT-2021-004面向心理认知的多维行为感知研究,2021-082023-08100万,在研,主持

(4)广东小天才科技有限公司,小天才-安徽大学联合研究项目,面向数学学科的用户认知水平智能诊断技术研发,2020-122021-06, 50万,结题,主持

(5)CCF-腾讯犀牛鸟滚动基金,面向K12自适应教育技术研究2021.12-2022.1230万,在研,主持

(6)CCF-腾讯犀牛鸟科研基金,CCF-Tencent RAGR20200121,面向K12在线自适应教育的多目标建模技术研究,2020-102021-0915万,结题,主持

(7)青海省科学技术厅,青海省基础研究计划软科学项目,数据驱动的“三区”创新性科技人才评价指标体系研究及应用,2021-012021-1210万,结题,第一参与人

(8)国家重点研发计划,2018YFB1402600,科技大数据理论与技术研究,2019-072022-061098万,结题,参加