Jun Hu
Research Scientist @ Facebook
Menlo Park, CA, USA
Email: hujun1010@gmail.com
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Biography:
Biography:
I am currently a research scientist at Facebook, mainly working on ads machine learning modeling, jointly optimizing multi-stage ranking system, personalization, ranking bias, etc. I obtained Ph.D. degree in 2018 from the Department of Computer Science, Rutgers University, working with Prof. Ping Li, and obtained my bachelor degree from Zhejiang University in 2011 and spent one year visiting the Lab for Media Search at the National University of Singapore, led by Prof. Chua Tat-Seng. In addition, I was an intern at Yahoo! Research and Baidu Research. I am always interested in recommender systems, ranking algorithms, data mining, machine learning, etc.
Publications:
Publications:
- Jun Hu and Ping Li. "Collaborative Multi-objective Ranking" (CIKM 2018) [pdf, code]
- Jun Hu and Ping Li. "Collaborative Filtering via Additive Ordinal Regression" (WSDM 2018) [pdf]
- Jun Hu and Ping Li. "Online City-scale Hyper-local Event Detection via Analysis of Social Media and Human Mobility" (IEEE BigData 2017) [pdf]
- Jun Hu and Ping Li. "Decoupled Collaborative Ranking" (WWW 2017) [pdf]
- Jun Hu and Ping Li. "Improved and Scalable Bradley-Terry Model for Collaborative Ranking" (ICDM 2016) [pdf, code]
- Chaolun Xia, Jun Hu, Yan Zhu and Mor Naaman. "What Is New in Our City? A Framework for Event Extraction Using Social Media Posts" (PAKDD 2015)
- Jun Hu, Han Zhang, Anastasia Miliou, Thodoris Tsimpidis, Hazel Thornton and Vladimir Pavlovic. "Categorization of Underwater Habitats Using Dynamic Video Textures" ICCV 2013 Workshop on underwater vision (ICCV 2013)
- Richang Hong, Linxie Tang, Jun Hu, Guangda Li and Jian-Guo Jiang. "Advertising Object in Web Videos" (Neurocomputing 2013)
- Jun Hu, Guangda Li, Zhen Lu, Jun Xiao and Richang Hong. "Videoader: a video advertising system based on intelligent analysis of visual content" (ICIMCS 2011)
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