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Email: danqing.zhang.personal AT gmail

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Welcome to my homepage!

I am a Senior Applied Scientist at Amazon Ads, and I am skilled in formulating the machine learning problems and prototyping scalable solutions. Before that, I worked as Sr. Applied Research Scientist at Amazon Search ( QU team from 2018 to Sep, 2022. I received my PhD degree in Systems Engineering (Cyber-physical Systems) from University of California Berkeley, College of Engineering in May 2018, under supervision of Professor Alexei Pozdnoukhov. Before coming to Berkeley, I obtained my B.S. degree in Urban Science and secondary B.A. degree in Economics at Peking University in June 2014.

I am a ML practitioner in natural language processing, information retrieval and recommendation systems with 8 years research and development experience, and 4 years industry experience. I have shipped four deep learning systems end-to-end into Amazon production system. I have published 10+ research papers on top venues including ACCV'2018, NAACL'2021, ACL'2021, CIKM'2021, EMNLP'2021, WWW'2022, NAACL'2022, KDD'2022 and KDD'2016/2018 & SIGIR'2020 workshops. I am the PC member/ reviewer for several top academic conferences including ECML-PKDD, AAAI, ICLR, CIKM, SIGIR, WSDM, ACL, NAACL, ARR (ACL Rolling Review), NeurIPS etc. My undergraduate & graduate training is on spatiotemporal modeling. I also have 10 years experience processing map & geospatial data and building geospatial models.

My chinese name 丹青 has its special meaning. On its wikipedia page: In Chinese painting, danqing (Chinese: 丹青; pinyin: dān qīng) refers to paintings on silk and Xuan paper. Danqing is painted with an ink brush, color ink, or Chinese pigments using natural plant, mineral, and both metal pigments and pigment blends. Danqing literally means "red and blue-green" in Chinese, or more academically, "vermillion and cyan"; they are two of the most used colors in ancient Chinese painting.

Expertise Experience
natural language processing, information extraction, text classification 2018 – Present
deep learning 2017 - Present
social network analysis, graph mining 2014 – Present
urban informatics, smart cities 2014 - Present
data science, data analytics 2013 - Present
location-based service (LBS), geodatabase, geoanalysis, remote sensing 2013 - 2014