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Jiashu (Jessie) Zhao an assistant professor at the Department of Physics and Computer Science, Wilfrid Laurier University. Her research focuses on the area of Information Retrieval, Machine Learning and Big Data Applications. From June 2017 to June 2019, She was a scientist at the data science lab of JD.COM, researching on personalized search and recommendation problems in E-commerce. Prior to that, She has worked as a Post Doc and lecturer at York University (Canada, 2015–2017), data scientist at TD Canada Trust (Canada, 2016–2017), and an intern scientist at Yahoo Labs (U.S., 2013). Jiashu (Jessie) Zhao received her PhD from York University in Canada, Master and Bachelor from Xi’an Jiaotong University in China.
- Jiashu Zhao, Hongshen Chen, Dawei Yin. "A Dynamic Product-aware Learning Model for E-commerce Query Intent Understanding." In Proceedings of the 28th ACM International Conference on Information and Knowledge Management (ACM CIKM), 2019. (Accepted as full paper)
- Hongshen Chen, Jiashu Zhao, Dawei Yin. "Fine-Grained Product Categorization in E-commerce." In Proceedings of the 28th ACM International Conference on Information and Knowledge Management (ACM CIKM), 2019. (Accepted as short paper)
- Chao Huang, Xian Wu, Xuchao Zhang, Chuxu Zhang, Jiashu Zhao, Dawei Yin, and Nitesh V. Chawla. “Online Purchase Prediction via Multi-Scale Modeling of Behavior Dynamics.” In Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, pp. 2613-2622. ACM, 2019.
- Chao Huang, Chuxu Zhang, Jiashu Zhao, Xian Wu, Nitesh Chawla and Dawei Yin. “MiST: A Multiview and Multimodal Spatial-Temporal Learning Framework for Citywide Abnormal Event Forecasting”. In Proceedings of the 2019 World Wide Web Conference. 2019.(Best paper candidate).
- Jimmy Xiangji Huang, Ben He, Jiashu Zhao. “Mining Authoritative and Topical Evidence from the Blogosphere for Improving Opinion Retrieval”. Information Systems. 2018. Pages 199-213.
- Fanghong Jian, Jimmy Xiangji Huang, Jiashu Zhao, Tingting He. “A New Term Frequency Normalization Model for Probabilistic Information Retrieval”, In Proceedings of the 41th international ACM SIGIR conference on Research and development in information retrieval, ACM, 2018: 1237-1240.
- Jun Miao, Jimmy Xiangji Huang, Jiashu Zhao. “TopPRF: A Probabilistic Framework for Integrating Topic Space into Pseudo Relevance Feedback”. In ACM Transactions on Information Systems (TOIS), 34(4): 22. 2016. (39 pages).
- Fanghong Jian, Jimmy Xiangji Huang, Jiashu Zhao, Tingting He, 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, ACM, 2016: 733-736.
- Jiashu Zhao, Susan McGrath, Jimmy Xiangji Huang, Jianhong Wu, Shicheng Wu. “Extracting Relevant Information from Big Data to Anticipate Forced Migration”. International Symposium on Big Data Management and Analytics (BIDMA 2016). Calgary, 2016.
- Jiashu Zhao, Jimmy Xiangji Huang and Zheng Ye. “Modeling Term Associations for Probabilistic Information Retrieval” (48 pages). In ACM Transactions on Information Systems (TOIS), 32.2 (2014): 7, ISSN: 1046-8188.
- 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 and 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” (18 pages). In Journal of BMC Genomics, 2013, 14 (Suppl 4): S6, ISSN: 1471-2164.
- Jiashu Zhao, Jimmy Xiangji Huang, Xiaohua Hu, C. Joseph Kurian and William Melek. “A Bayesian-Based Prediction Model for Personalized Medical Health Care”, In Proceedings of the 2012 IEEE International Conference on Bioinformatics and Biomedicine, 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.