%e4%b8%80%e5%af%b8%e7%85%a7 %e7%81%b0%e8%89%b2 %e6%ad%a3 %e6%9c%b1%e8%83%bd%e5%86%9b
朱能军 讲师/硕导
zhu_nj@shu.edu.cn
计403

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Dr. Nengjun Zhu is currently with the School of Computer Engineering and Science at Shanghai University. He is a Lecturer and master supervisor, CCF YOCSEF Shanghai AC Secretary, CCF TCCC Executive Member, and PRIJCAI 2022 Local Chair. He received a bachelor's degree from Sichuan University and a Ph.D. in computer science and technology from Shanghai Jiao Tong University. Nengjun Zhu has been a visiting Ph.D. student in the Management Science and Information Systems Department at Rutgers, the State University of New Jersey, and an intern researcher at Baidu Research. His research interests include recommender systems, data mining, and decision support systems, supported by many national and provincial government research grants and industry partners.

Experience

  • Shanghai University, Lecturer (2021.06 - Now ). Shanghai University
  • Baidu Research Intern (2019.10 - 2020.04). Baidu Research, Baidu Inc.
  • Visiting Ph.D. Student (2018.09 - 2019.09). Rutgers, the State University of New Jersey

Education

  • Shanghai Jiao Tong University (SJTU), Shanghai, China, 2015.09 – 2021.03
    • Ph.D. student in Dept. of Computer Science and Engineering
  • Sichuan University (SCU), Chengdu, China, 2011.09 – 2015.06
    • Bachelor in College of Computer Science

Project

  • Research on Recommendation Approach based on Fusion Learning of Intent and Preference Representation. National Natural Science Foundation of China under Grant No. 62202282.
  • Intention and Preference Fusion Modeling-based Recommender Systems. Shanghai Youth Science and Technology Talents Sailing Program (No. 22YF1413700)

Academic Service

  • Conference Organized: PRICAI22 Local Chair, IEEE ICDM 2023 - NeuRec Workshop PC Chair
  • Conference PC: KDD24, IJCAI24, ICWSM24, ICDM24, ICDM23, PRIJCAI23
  • Journal Review: IPM, DSS, FGCS, JDSA, Information Sciences, IEEE Intelligent Systems, Wireless Communications and Mobile Computing

Teaching

  • Undergraduate Course: Data Structure (08305009/08305010)
  • Undergraduate Course: Intelligent Technology Training (08B2A004)
  • Graduate Course: Advanced Algorithm Design and Analysis (3XS1080001), Algorithm Design and Analysis (3ZS1080001)
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403 CES Building, School of Computer Engineering and Science, Shanghai University
333 Nanchen Road, Baoshan District, Shanghai 200444, China