Dawei Yin
 is Senior Director at JD.com. He is managing the recommendation engineering team, building the unified recommender system of JD.com. He also founded Data Science Lab, leading the science efforts of recommendation, search, metrics and knowledge graph, etc.. Prior to joining JD.com, he was Senior Research Manager at Yahoo Labs, leading relevance science team and in charge of Core Search Relevance of Yahoo Search. He obtained Ph.D. (2013), M.S. (2010) from Lehigh University and B.S. (2006) from Shandong University. From 2007 to 2008, he was an M.Phil. student in The University of Hong Kong. His research interests include data mining, applied machine learning, information retrieval and recommender system. He published more than 60 research papers in premium conferences and journals, and was the recipients of  WSDM2016 Best Paper Award, KDD2016 Best Paper Award, WSDM2018 Best Student Paper Award, and ICHI 2019 Best Paper Honorable Mention.

JD.com’s Data Science Lab is hiring! please drop me a message at [yindawei at acm.org], if interested.


2019-06-12 One paper entitled “Weight Loss Prediction in Social-Temporal Context” received ICHI 2019 Best Paper Honorable Mention.

2019-03-16 Workshop proposal “Deep Reinforcement Learning for Knowledge Discovery” has been accepted by KDD 2019.

2018-11-05 Dawei was invited to Senior Program Committee at SIGIR 2019.

2018-08-20 One paper entitled “Explicit State Tracking with Semi-Supervision for Neural Dialogue Generation” was accepted into CIKM 2018.

2018-07-18 One paper entitled “Deep Reinforcement Learning for Page-wise Recommendations” was accepted into RecSys2018.

2018-07-08 Dawei (with Zhaochun Ren, Xiangnan He, and Maarten de Rijke) gave a half day tutorial, entitled “Information Discovery in E-commerce” at SIGIR 2018.

2018-05-14 Dawei was invited to Senior Program Committee at WSDM 2019.

2018-05-07 One paper entitled “Recommendations with Negative Feedback via Pairwise Deep Reinforcement Learning” was accepted into KDD2018.

2018-04-21 Two papers entitled “Knowledge Diffusion for Neural Dialogue Generation” and “Simplifying Task-oriented Dialogue Systems with Single Sequence-to-Sequence Architectures” were accepted into ACL2018.

2018-04-18 One paper entitled “Learning Tag Dependencies for Sequence Tagging” was accepted into IJCAI2018.

2018-04-03 One paper entitled “Optimizing Whole-Page Presentation for Web Search” was accepted by ACM Transactions on the Web (TWEB).





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