Chen Zhu

a Senior Research Engineer Interested in Data Mining


Correspondence

Email: zc3930155@gmail.com
Mail: Chen Zhu, Baidu Campus, No. 10 Shangdi 10th Street, Haidian District, Beijing, China, 100085

Brief Biography

I am a senior research engineer in Baidu, inc. I received my M.Sc degree from Science and Technology of China(USTC) in 2015 and B.eng. degree from Northwestern Polytechnical University in 2012. My supervisor in USTC is Prof Enhong Chen.

My current research interests are data mining and machine learning, especially text mining and human resource analysis. I have won the Best Student Paper Award on CCML'2013 and Best Paper Award Nomination on ICDM'2014. I also serve as a reviewer for several high-rated journals (e.g., ACM TKDD, IEEE TSMC) and the program committee member of several top conferences (e.g., KDD, SDM).

Education

Sep. 2012 ~ Jun. 2015

 M.Sc Student, University of Science and Technology of China, China.
Major: Computer Science

Sep. 2008 ~ Jun. 2012

 B.eng Student, Northwestern Polytechnical University, China.
Major: Software Engineering

Selected Publications

  1. Chao Wang, Hengshu Zhu, Chen Zhu, Chuan Qin, Hui Xiong, SetRank: A Setwise Bayesian Approach for Collaborative Ranking from Implicit Feedback, in Proceedings of the 34th AAAI Conference on Artificial Intelligence (AAAI-2020), New York City, USA, 2020.

  2. Chuan Qin, Hengshu Zhu, Chen Zhu, Tong Xu, Fuzhen Zhuang, Chao Ma, Jingshuai Zhang, Hui Xiong, DuerQuiz: A Personalized Question Recommender System for Intelligent Job Interview, in Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2019), Anchorage, Alaska, 2019.

  3. Le Zhang, Chen Zhu, Hengshu Zhu, Tong Xu, Chuan Qin, Hui Xiong, Enhong Chen, Large-Scale Talent Flow Forecast with Dynamic Latent Factor Model, in Proceedings of the Web Conference 2019 (WWW-2019), San Francisco, CA, USA, 2019, accepted.

  4. Mingfei Teng, Hengshu Zhu, Chuanren Liu, Chen Zhu, Hui Xiong, Exploiting the Contagious Effect for Employee Turnover Prediction, in Proceedings of the 33rd AAAI Conference on Artificial Intelligence (AAAI-2019), Honolulu, Hawaii, USA, 2019.

  5. Xiaoying Ren, Linli Xu, Tianxiang Zhao, Chen Zhu, Junliang Guo, and Enhong Chen, Tracking and Forecasting Dynamics in Crowdfunding: A Basis-Synthesis Approach, in Proceedings of the 18th International Conference on Data Mining (ICDM-2018), Singapore, November 17-20 2018.

  6. Chen Zhu, Hengshu Zhu, Hui Xiong, Chao Ma, Fang Xie, Pengliang Ding, Pan Li, Person-Job Fit: Adapting the Right Talent for the Right Job with Joint Representation Learning in ACM Transactions on Management Information Systems (ACM TMIS), 2018.

  7. Chuan Qin, Hengshu Zhu, Tong Xu, Chen Zhu, Liang Jiang, Enhong Chen, Hui Xiong, Enhancing Person-Job Fit for Talent Recruitment: An Ability-aware Neural Network Approach, in Proceedings of the 41st International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR-2018), San Francisco, CA, USA, 2018.

  8. Dazhong Shen, Hengshu Zhu, Chen Zhu, Tong Xu, Chao Ma, Hui Xiong, A Joint Learning Approach to Intelligent Job Interview Assessment, in Proceedings of the 27th International Joint Conference on Artificial Intelligence (IJCAI-2018), Stocholm, Sweden, 2018.

  9. Tong Xu, Hengshu Zhu, Chen Zhu, Pan Li, and Hui Xiong, Measuring the Popularity of Job Skills in Recruitment Market: A Multi-Criteria Approach, in Processdings of the 32nd AAAI Conference on Artificial Intelligence (AAAI-2018), New Orleans, LA, USA, 2018.

  10. Chao Ma, Chen Zhu, Yanjie Fu, Hengshu Zhu, Guiquan Liu, Enhong Chen, Social User Profiling: A Social-Aware Topic Modeling Perspective, in Processdings of the 22nd International Conference on Database Systems for Advanced Applications (DASFAA-2017), Suzhou, China, March 27-30, 2017.

  11. Hao Lin, Hengshu Zhu, Yuan Zuo, Chen Zhu, Junjie Wu, Hui Xiong, Collaborative Company Profiling: Insights from an Employee's Perspective, in Processdings of the 31st AAAI Conference on Artificial Intellligence (AAAI-2017), San Francisco, CA, USA, 2017.

  12. Chen Zhu, Hengshu Zhu, Hui Xiong, Pengliang Ding, Fang Xie, Recruitment Market Trend Analysis with Sequential Latent Variable Models, in Processdings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2016), San Francisco, CA, USA, 2016. [PDF]

  13. Chen Zhu, Hengshu Zhu, Yong Ge, Enhong Chen, Qi Liu, Tong Xu, Hui Xiong, Tracking the Evolution of Social Emotions with Topic Models, in Knowledge and Information System Journal (KAIS), 2016, 47:517-544. [PDF]

  14. Yanjie Fu, Guannan Liu, Spiros Papadimitriou, Hui Xiong, Yong Ge, Hengshu Zhu, Chen Zhu, Real Estate Ranking via Mixed Land-use Latent Models, in Processdings of the 21st ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2015), Sydney, Australia, August 10-13, 2015. [PDF]

  15. Chen Zhu, Hengshu Zhu, Yong Ge, Enhong Chen, Qi Liu, Tracking the Evolution of Social Emotions: A Time-Aware Topic Modeling Perspective, in Processdings of the 14th IEEE Conference on Data Mining (ICDM-2014), Shenzhen, China, December 14-17, 2014. (Best Paper Award Nomination) [PDF]

  16. Guangfu Sun, Le Wu, Qi Liu, Chen Zhu, Enhong Chen, Recommendations Based on Collaborative Filtering by Exploiting Sequential Behaviors, In Journal of Software, Issue 11, 2013 (in Chinese). (Best Student Paper Award) [PDF]

Honors and Awards

  • Candidate of Top Award in Baidu (Aug. 2016)
  • Outstanding Graduate of USTC (Jun. 2015)
  • ICDM-2014 Best Paper Award Nomination (Dec. 2014)
  • GDC Scholarship Award for Excellent Graduate Student (Nov. 2014)
  • CCML-2013 Best Student Paper Award (Aug. 2013)
  • First State Scholarships of NPU (Oct. 2011)
  • Outstanding Student Leader of NPU (Oct. 2010)
  • First State Scholarships of NPU (Oct. 2009)