Ruining He       

Research Scientist @ Pinterest (Applied Science team)
E-mail: rhe [at] pinterest [dot] com




About (Google Scholar(CV
  I'm a research scientist on Applied Science team at Pinterest. I completed my Ph.D. in computer science at UCSD under the supervision of Prof. Julian McAuley in 2017. In my research, I focus on building scalable models to handle large scale problems in the area of recommender systems and data mining using various machine learning techniques. 
News
  * 06/2017      One paper w/ Wang-Cheng and Julian accepted to RecSys '17.
  * 06/2017      I became a member of WSDM '18 Program Committee.
  * 05/2017      I passed my final defense.
  * 04/2017      One paper w/ Chenwei and Julian accepted to IJCAI '17.
  * 03/2017      One paper w/ Jianguo, Chunbin, Moojin, Yannis, and Steven accepted to VLDB '17.
  * 12/2016      I'm now officially a Ph.D. candidate.
  * 12/2016      I presented two papers at ICDM '17 in Barcelona.
  * 09/2016      I became a member of WWW '17 Program Committee
.
  * 09/2016      I became a reviewer for 
IEEE Transactions on Multimedia.
  * 09/2016      Two papers w/ Julian and Charles accepted to ICDM '16.
  * 07/2016      I presented our paper on sparse hierarchical embeddings at IJCAI in NYC.
  * 07/2016      One paper w/ Chen, Zhaowen, and Julian accepted to RecSys '16.
  * 06/2016      I'm spending the summer in Seattle as a research intern on Core Machine Learning team at Amazon.
Education
  * 2013 - 2017   Ph.D.   Dept. of Computer Science and Engineering, University of California, San Diego, U.S.A.
  * 2010 - 2013   M.S.     
Dept. of Computer Science and Technology (with honors), Tsinghua University, China
  * 2006 - 2010   B.E.     Dept. of Software Engineering (with honors), Hebei University of Technology, China
Publications (Top-tier venues are boldfaced.) 
[2017]
   Ruining He, Wang-Cheng Kang, Julian McAuley 
   ACM Conference on Recommender Systems (RecSys '17)

   SPMC: Socially-Aware Personalized Markov Chains for Sparse Sequential Recommendation
   Chenwei Cai, Ruining He, Julian McAuley 
   International Joint Conference on Artificial Intelligence (IJCAI '17)
   Pdf Code (C++)

   MILC: Inverted List Compression in Memory
   Jianguo Wang, Chunbin Lin, Ruining He, Moojin Chae, Yannis Papakonstantinou, Steven Swanson 
   International Conference on Very Large Data Bases (VLDB '17)
   Pdf

[2016]
   Fusing Similarity Models with Markov Chains for Sparse Sequential Recommendation
   Ruining HeJulian McAuley 
   IEEE International Conference on Data Mining (ICDM '16)
   Pdf | Data | Code (C++) | Slides

   Learning Compatibility Across Categories for Heterogeneous Item Recommendation
   Ruining HeCharles Packer, Julian McAuley 
   IEEE International Conference on Data Mining (ICDM '16)
   Pdf | Data | Code (C++) | Slides

   Vista: A Visually, Socially, and Temporally-aware Model for Artistic Recommendation
   Ruining HeChen Fang, Zhaowen Wang, Julian McAuley 
   ACM Conference on Recommender Systems (RecSys '16)
   Pdf | Data | Code (C++)

   Ruining HeChunbin Lin, Jianguo Wang, Julian McAuley 
   International Joint Conference on Artificial Intelligence (IJCAI '16)
   Pdf | Data | Code (C++)

   Ruining He, Julian McAuley
   World Wide Web (WWW '16)
   Pdf | Data | Code (C++)

   Ruining He, Chunbin Lin, Julian McAuley
   World Wide Web (WWW '16), demo paper
   Pdf | Link | Poster

   Ruining He, Julian McAuley 
   AAAI Conference on Artificial Intelligence (AAAI '16)
   Pdf | Data1 Data2 | Code (C++)

[2014 and before]
   Hui Guo, Zhenjiang Wang, Chenggang Wu, Ruining He
   Design, Automation & Test in Europe (DATE '14)
   Pdf | Link

   Ruining He, Yuchun Ma, Kang Zhao, Jinian Bian
   International Conference on Computer-Aided Design (ICCAD '12)
   Pdf | Link

   PDPR: Fine-Grained Placement for Dynamic Partially Reconfigurable FPGAs
   Ruining He, Guoqiang Liang, Yuchun Ma, Yu Wang, Jinian Bian
   International Symposium on Applied Reconfigurable Computing (ARC '12)
   Pdf | Link

   Ruining He, Guoqiang Liang, Yuchun Ma, Yu Wang, Jinian Bian
   Journal of Circuits, Systems and Computers (JCSC), 2013
Demo System
     http://132.239.95.211:8080/demowww/index.jsp

Professional Service
   PC Member
    - ACM International Conference on Web Search and Data Mining (WSDM 2018)
    - World Wide Web (WWW 2017, 2018)
    - Machine Learning Meets Fashion (KDD Workshop 2017)

   Reviewer
   - 
ACM CHI Conference on Human Factors in Computing Systems (CHI 2018)