Jiashu Zhao

Name: Jiashu Zhao (赵佳枢)

E-mail: zhaojiashu1@jd.com

Address: 10th Floor, A zone, North Star Century Center, Beijing, China

Personal Introduction

Jiashu Zhao is a research scientist in Data Science Lab at JD.com. Before joining JD.com, she has worked as a data scientist at TD Canada Trust, a lecturer and postdoc at York University, and an intern scientist at Yahoo!Labs. Her research interests include information retrieval, machine learning, and data mining. Jiashu Zhao received her PhD from York University in Canada, Master and Bachelor from Xi’an Jiaotong University.

Research Interests

    Information Retrieval, machine learning and data mining

Selected Publications

  • Jun Miao, Jimmy Xiangji Huang, and Jiashu Zhao. “TopPRF: A Probabilistic Framework for Integrating Topic Space into Pseudo Relevance Feedback.” ACM Transactions on Information Systems (TOIS) 34, no. 4 (2016): 22.
  • Fanghong Jian, Jimmy Xiangji Huang, Jiashu Zhao, Tingting He, and Po Hu. “A simple enhancement for ad-hoc information retrieval via topic modelling.” In Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, pp. 733-736. ACM, 2016.
  • Jiashu Zhao, Jimmy Xiangji Huang, and Zheng Ye. “Modeling term associations for probabilistic information retrieval.” ACM Transactions on Information Systems (TOIS) 32, no. 2 (2014): 7.
  • Jiashu Zhao, and Jimmy Xiangji Huang. “An enhanced context-sensitive proximity model for probabilistic information retrieval.” In Proceedings of the 37th international ACM SIGIR conference on Research & development in information retrieval, pp. 1131-1134. ACM, 2014.
  • Jiashu Zhao, Jimmy Xiangji Huang, and Xiaohua Hu. “BPLT+: A Bayesian-based personalized recommendation model for health care.” BMC genomics 14, no. 4 (2013): S6 (impact factor: 4.4).
  • Jiashu Zhao, Jimmy Xiangji Huang, Xiaohua Hu, Joseph Kurian, and William Melek. “A Bayesian-based prediction model for personalized medical health care.” In Bioinformatics and Biomedicine (BIBM), 2012 IEEE International Conference on, pp. 579-582. IEEE, 2012.
  • Jiashu Zhao, Jimmy Xiangji Huang, and Shicheng Wu. “Rewarding term location information to enhance probabilistic information retrieval.” In Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval, pp. 1137-1138. ACM, 2012.
  • Jiashu Zhao, Jimmy Xiangji Huang, and Ben He. “CRTER: using cross terms to enhance probabilistic information retrieval.” In Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval, pp. 155-164. ACM, 2011.
  • Hashmat Rohian, Aijun An, Jiashu Zhao, and Xiangji Huang. “Discovering temporal associations among significant changes in gene expression.” In Bioinformatics and Biomedicine, 2009. BIBM’09. IEEE International Conference on, pp. 419-423. IEEE, 2009. (Best Poster Award)
  • Aijun An, Qian Wan, Jiashu Zhao, and Xiangji Huang. “Diverging patterns: discovering significant frequency change dissimilarities in large databases.” In Proceedings of the 18th ACM conference on Information and knowledge management, pp. 1473-1476. ACM, 2009.