# Zhiwei Zhang > Research Scientist at Facebook Location: Menlo Park, California, United States Profile: https://flows.cv/zhiweizhang I am now a research scientist at Facebook Feed Ads team. I'm working on deep learning methods for accurate CTR prediction. Personal website: https://sites.google.com/view/zhiweizhang/home ## Work Experience ### Staff Software Engineer @ Instagram Jan 2022 – Present IG Shopping Relevance ### Staff Software Engineer @ Facebook Jan 2017 – Jan 2022 | San Francisco Bay Area * Related Ads: I initiated and lead a cross-app (FB/IG/Messenger) workstream called related ads, which aims at realtime intentional ads delivery. 2% company wise ads score (internal indicator of long term revenue) win. * Format Machine Learning: one of the early members personalizing what format to render given a fixed pair. * Multi Task Learning: I initiated and lead the multi-task learning, model ensemble, and task dependency modeling efforts for major Meta's ads ranking models. 1% company wise ads score (internal indicator of long term revenue) win. ### Graduate Research Assistant @ Purdue University Jan 2012 – Jan 2017 | West Lafayette, IN PhD student working on Information Retrieval, supervised by Prof. Luo Si. My research broadly covers recommender system and web search. Specifically, I've done topics such as matrix factorization, collaborative filtering, hashing, learning to rank, search session mining, context modeling, structured svm, query reformulation, query expansion, cost aware feature selection, mobile app recommendation, sponsorship/advertising, etc. ### Research Intern at iDST @ Alibaba.com Jan 2015 – Jan 2015 Research Intern at iDST, Seattle, supervised by Prof. Luo Si and Dr. Jun Wang. My work is to design sponsored mobile app recommendation algorithms that maximize the sponsorship profit for appstore meanwhile maintaining the recommendation quality. We achieved significantly better quality-profit balance than the existing recommender system on Alibaba's YunOS appstore (http://apps.yunos.com/). ### Research Intern at Microsft Research & Bing @ Microsoft Jan 2014 – Jan 2014 Research intern jointly sponsored by Microsoft Research, Redmond and Bing, under the supervision of Dr. Jianfeng Gao and Dr. Guihong Cao. My work at Microsoft Research is to design efficient learning algorithms to speed up supervised query expansion. My work at Bing is query parsing, which converts users' question queries into structured formats so that we can search knowledge graph to retrieve answers. ### Graduate Research Assistant @ Institute of Automation, Chinese Academy of Sciences Jan 2009 – Jan 2012 Graduate research assistant in National Laboratory of Pattern Recognition (NLPR), under supervision of Prof. Stan Z. Li, IEEE Fellow. My research focuses on face biometrics and computer vision. Specifically, my research topics include: face detection, face liveness detection, face recognition, Boosting algorithms, subspace algorithms, transfer learning, multi-spectral imaging & hardware construction, face liveness detection database construction. ## Education ### Doctor of Philosophy (Ph.D.) in Computer Science Purdue University ### Master of Engineering (M.Eng.) in Pattern Recognition and Intelligent System University of Chinese Academy of Sciences ### Bachelor’s Degree in Electronic and Information Engineering Sichuan University ## Contact & Social - LinkedIn: https://linkedin.com/in/zhiwei-zhang-87933626 --- Source: https://flows.cv/zhiweizhang JSON Resume: https://flows.cv/zhiweizhang/resume.json Last updated: 2026-04-12