张海鹏
助理教授、研究员
博士毕业院校:美国印第安纳大学
电话:(021)20684458
办公室:信息学院1C-303C室
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研究领域
个人简历
代表性论文

研究领

  • 数据挖掘、金融科技、时间地理数据挖掘、社交媒体挖掘



个人简历

张海鹏博士于2018年8月全职加入上海科技大学信息科学与技术学院,任助理教授、研究员。2009年本科毕业于南京大学,获软件工程学士学位,2007年秋季学期在香港科技大学交换学习。2014年博士毕业于美国印第安纳大学,获计算机科学博士学位,导师为Prof. David J. Crandall。

论文发表于WWW、WSDM、CIKM等国际顶级会议,并获得美国专利。大规模时空地理数据挖掘与建模的成果被英国《新科学家》(New Scientist)杂志以及美国计算机协会(ACM)报道。2010年至2013年期间曾在日本东京National Institute of Informatics,美国加州eBay研究院,英国剑桥微软研究院以及美国加州三星研究院进行数据挖掘研究。2014年至2018年,分别在IBM研究院与中国金融期货交易所从事数据科学与金融科技研究工作,参与IBM人机辩论系统Project Debater研发,在中国证监会系统刊物上发表多篇金融科技研究报告。入选上海市青年英才扬帆计划,并主持中国博士后科学基金、上海市软科学重点项目以及中国外汇交易中心、深圳证券交易所等大型金融机构金融科技研究课题。


代表性论文

  1. Zhang H., Korayem M., Crandall D. J., and LeBuhn G., “Mining photo-sharing websites to study ecological phenomena”, in Proceedings of the 21st international conference on World Wide Web, ACM, pp. 749-758, 2012. (oral, 12%, CCF A)

  2. Zhang H., Korayem M., You E., and Crandall D. J., “Beyond co-occurrence: discovering and visualizing tag relationships from geo-spatial and temporal similarities”, in Proceedings of the fifth ACM international conference on Web search and data mining, ACM, pp. 33-42, 2012. (plenary talk, 8.3%, CCF B)

  3. Zhang H., Parikh N., Singh G., and Sundaresan N. “Chelsea won, and you bought a t-shirt: Characterizing the interplay between twitter and e-commerce”, in Proceedings of the 2013 IEEE/ACM international conference on advances in social networks analysis and mining, ACM, pp. 829-836, 2013. (oral, Best Paper Award)

  4. Zhang H., Yan, Z., Yang, J., Tapia, E. M., and Crandall, D. J., “Mfingerprint: Privacy-preserving user modeling with multimodal mobile device footprints”, in Proceedings of International Conference on Social Computing, Behavioral-Cultural Modeling, and Prediction, Springer, pp. 195-203, 2014. (oral, 24%)

  5. Lee S., Zhang H., and Crandall D. J., “Predicting geo-informative attributes in large-scale image collections using convolutional neural networks”, in Proceedings of 2015 IEEE Winter Conference on Applications of Computer Vision, pp. 550-557, 2015. (oral, 36.7%)

  6. Guo K, Jiang T., and Zhang H., “Knowledge Graph Enhanced Event Extraction in Financial Documents”, in Proceedings of 2020 IEEE International Conference on Big Data, 2020. (CCF C)

  7. Li, Z., Lyu, S., Zhang, H., and Jiang, T. (2021). “One Step Ahead: A Framework for Detecting Unexpected Incidents and Predicting the Stock Markets”. IEEE Access, 9, 30292-30305.

  8. Wang Z., Wang F., Zhang H., Yang M., Cao S., Wen Z., and Zhang Z., “Could You Describe the Reason for the Transfer?': A Reinforcement Learning Based Voice-Enabled Bot Protecting Customers from Financial Frauds”, in Proceedings of 2021 ACM Conference on Information and Knowledge Management, 2021. (CCF B)