Fuzhen Zhuang (庄福振)

alt text 

I am currently a full Professor in Institute of Artificial Intelligence, Beihang University.

My research interests include Machine Learning and Data Mining, including Transfer Learning, Multi-task Learning, Multi-view Learning, Recommendation Systems and Knowledge Graph.

I have published more than 150 papers in the prestigious refereed conferences and journals, such as KDD, WWW, SIGIR, ICDE, IJCAI, AAAI, EMNLP, Nature Communications, IEEE TKDE, ACM TKDD, IEEE T-CYB, IEEE TNNLS, ACM TIST, etc.

Address: XueYuan Road No.37, HaiDian District, BeiJing, China.

Email: zhuangfuzhen@buaa.edu.cn & zfz20081983@gmail.com

Motto: If you want to harvest, please try your best! Keep your heart passional, everything is possible!

I am always seeking for the high intelligent and diligent intern students! If you are interested in my group, please contact me by email zhuangfuzhen@buaa.edu.cn.


  • One paper has been accepted by TPAMI 2023.

    • Chuanguang Yang, Zhulin An, Helong Zhou, Fuzhen Zhuang, Yongjun Xu, Qian Zhang.: Online Knowledge Distillation via Mutual Contrastive Learning for Visual Recognition. TPAMI 2023.

  • Two papers have been accepted by TheWebConf 2023.

    • Yuxin Ying, Fuzhen Zhuang, Yongchun Zhu, Deqing Wang, Hongwei Zheng.: CAMUS: Attribute-Aware Counterfactual Augmentation for Minority Users in Recommendation. TheWebConf 2023.

    • Yuanzhou Yao, Zhao Zhang, Kaijia Yang, Huasheng Liang, Qiang Yan, Fuzheng Zhuang, Boyu Diao, Yongjun Xu, Chao Li.: A Knowledge Enhanced Hierarchical Fusion Network for CTR Prediction under Account Search Senario in WeChat. TheWebConf 2023 (Industry Track).

  • One paper has been accepted by TOIS 2022.

    • Qiming Li, Zhao Zhang, Fuzhen Zhuang, Yongjun Xu, and Chao Li. Topic-aware Intention Network for Explainable Recommendation with Knowledge Enhancement. TOIS 2022.

  • One paper has been accepted by KDD 2022.

    • Xiexiong Lin, Huaisong Li, Tao Huang, Feng Wang, Taifeng Wang, Tianyi Zhang, Fuzhen Zhuang, Linlin Chao.: A Logic Aware Neural Generation Method for Explainable Data-to-text. KDD 2022. (ADS Track)

  • One paper has been accepted by IJCAI 2022.

    • Zhenwei Tang, Shichao Pei, Zhao Zhang, Yongchun Zhu, Fuzhen Zhuang, Robert Hoehndorf, Xiangliang Zhang.: Positive-Unlabeled Learning with Adversarial Data Augmentation for Knowledge Graph Completion. IJCAI 2022.

  • Three papers have been accepted by SIGIR 2022.

    • Shuokai Li, Ruobing Xie, Yongchun Zhu, Xiang Ao, Fuzhen Zhuang, Qing He.: User-Centric Conversational Recommendation with Multi-Aspect User Modeling. SIGIR 2022. (Long)

    • Yongchun Zhu, Qiang Sheng, Juan Cao, Shuokai Li, Danding Wang, Fuzhen Zhuang.: Generalizing to the Future: Mitigating Entity Bias in Fake News Detection. SIGIR 2022. (Short)

    • Yiqing Wu, Ruobing Xie, Yongchun Zhu, Fuzhen Zhuang, Xiang Ao, Xu Zhang, Leyu Lin, Qing He.: Selective Fairness in Recommendation via Prompts. SIGIR 2022. (Short)

  • One paper has been accepted by TheWebConf 2022.

    • Zhendong Chen, Siu Cheung Hui, Lejian Liao, Fuzhen Zhuang, Fei Li, Meihuizi Jia, Jiaqi Li.: EvidenceNet: Evidence Fusion Network for Fact Verification. TheWebConf 2022.

  • Five papers have been accepted by TKDE 2022.

    • Yu Zhao, Shaopeng Wei, Huaming Du, Xingyan Chen, Qing Li, Fuzhen Zhuang, Ji Liu, Kang Kou.: Learning Bi-typed Multi-relational Heterogeneous Graph via Dual Hierarchical Attention Networks. TKDE 2022.

    • Yu Zhao, Huaming Du, Ying Liu, Shaopeng Wei, Xingyan Chen, Fuzhen Zhuang, Qing Li, Gang Kou.: Stock Movement Prediction Based on Bi-typed Hybrid-relational Market Knowledge Graph via Dual Attention Networks. TKDE 2022.

    • Yongchun Zhu, Qiang Sheng, Juan Cao, Qiong Nan, Kai Shu, Minghui Wu, Jindong Wang, Fuzhen Zhuang.: Memory-Guided Multi-View Multi-Domain Fake News Detection. TKDE 2022.

    • Yuyang Xu, Haochao Ying, Siyi Qian, Fuzhen Zhuang, Xiao Zhang, Deqing Wang, Jian Wu, Hui Xiong.: Time-aware Context-Gated Graph Attention Network for Clinical Risk Prediction. TKDE 2022.

    • Yu Zhao, Han Zhou, Anxiang Zhang, Ruobing Xie, Qing Li, Fuzhen Zhuang*.: Connecting Embeddings Based on Multiplex Relational Graph Attention Networks for Knowledge Graph Entity Typing. TKDE 2022.

  • One paper has been accepted by AAAI 2022.

    • Fuwei Zhang, Zhao Zhang, Xiang Ao, Dehong Gao, Fuzhen Zhuang, Yi Wei, Qing He: Mind the Gap: Cross-Lingual Information Retrieval with Hierarchical Knowledge Enhancement. AAAI 2022.

Research Interests

  • Machine Learning

  • Data Mining

  • Transfer Learning

  • Multi-task Learning

  • Multi-view Learning

  • Recommender Systems.

  • Knowledge Graph.

Professional Experience

  • Professor. Institute of Artificial Intelligence, Beihang University, Apr 2021 - Present.

  • Associate Professor. Institute of Computing Technology Chinese Academy of Sciences, Sep 2013 - Mar 2021.

  • Technical Consultant. Baidu Inc., Sep 2016 - Feb 2017.

  • Visiting Scholar. Microsoft Research Asia, Apr 2015 - Oct 2015.

    • Working with Xing Xie on Recommender Systems, a senior research manager in Microsoft Research Asia.

  • Assistant Professor. Institute of Computing Technology, CAS, Jul 2011 - Sep 2013.

  • Visiting Student. University of Minnesota Twin Cities (UMN), Sep 2010 - Mar 2011.

    • Working with Prof. George Karypis on Multi-task Learning, a professor at UMN.

  • Visiting Internship Student. Hong Kong University of Science and Technology (HKUST), Jul 2010 - Aug 2010.

    • Working with Prof. Yang Qiang on Transfer Learning, a professor at HKUST.


  • Ph.D. in Computer Science. Institute of Computing Technology, Chinese Academy of Sciences, July, 2011.

    • Thesis: The Research of Classification Algorithms for Transfer Learning

    • Advisor: Prof. Qing He

  • B.E. in Computer Science. Chongqing University (CQU), 2006.

Honors and Award

  • Dec. 2020 Excellent researcher in Institute of Computing Technology, CAS

  • Dec. 2019 Excellent researcher in Institute of Computing Technology, CAS

  • Jan. 2017 The Youth Innovation Promotion Association of Chinese Academy of Sciences

  • Jan. 2016 The outstanding researcher in Institute of Computing Technology, CAS

  • Dec. 2012-2015 Excellent researcher in Institute of Computing Technology, CAS (one time per year)

  • Jul. 2015 The Champion of IJCAI 2015 Data Mining Competition (1/753)

  • Oct. 2013 Best Doctoral Dissertation Award, Chinese Association for Artificial Intelligence

  • Dec. 2011 Outstanding Graduate Student, Graduate University of Chinese Academy of Sciences

  • Oct. 2010 Best Paper Candidate & Student Travel Award, ACM CIKM 2010

  • Apr. 2010 Best Paper Candidate, SIAM SDM 2010

  • Jun. 2007-2010 Excellent Student, Chinese Academy of Sciences (one time per year)

  • Jan. 2009 Xia Peisu Scholarship, Institute of Computing Technology

  • Jul. 2006 Excellent Graduate Student, ChongQing City (top 0.5%)

Research Grants

  • “The Research on Intelligent Recruitment Algorithms Based on Graph Neural Networks”, the National Natural Science Foundation of China, 590,000RMB, 2022.1 - 2025.12.

  • “Study on Open Knowledge Computable Model and Computing Method for Network Big Data”, the National Natural Science Foundation of China, 640,000RMB (2,560,000RMB in total), 2019.1 - 2022.12.

  • “Multi-source Uncertain Data Mining Method and Technique”, the National Key Research and Development Program of China, 600,000RMB (3,420,000RMB in total), 2018.5 - 2021.5.

  • “The Research on Recommendation Algorithms based on Deep Learning”, the National Natural Science Foundation of China, 640,000RMB, 2018.1 - 2021.12.

  • “The Youth Innovation Promotion Association CAS 2017146”, Chinese Academy of Sciences, 800,000RMB, 2017.1 - 2020.12.

  • “The Research on Multi-task Multi-view Learning Algorithms to Heterogeneous Environment”, the National Natural Science Foundation of China, 780,000RMB, 2015.1 - 2018.12.

  • “The Application of Machine Learning Algorithm in Operator Big Data”, ZTE, 200,000RMB, 2017.1 - 2017.12.

  • “2015 Microsoft Research Asia Collaborative Research Program”, MSRA, 100,000RMB, 2016.1 - 2016.12.

  • “The Research on Knowledge Graph Constructing Methods based on Web Data”, Baidu Inc., 100,000RMB, 2016.1 - 2016.12.

  • “The Research of Transfer Learning Algorithms based on Generative Model with Applications”, the National Natural Science Foundation of China, 240,000RMB, 2013.1 - 2015.12.

  • “Research and Development of Public Service Support Technology in Urban Population Life Cycle”, National High-tech R&D Program of China (863 Program), 713,600RMB (4,460,000RMB in total), 2013.1 - 2015.12.

  • “The Develop of Parallel Data Mining System”, Key Lab of Web Data in ICT, 300,000RMB, 2011.8 - 2012.7.