Yukuo Cen

I am an AI researcher of Zhipu AI, which has recently released ChatGLM App. I am seeking AI/ML interns to work on real-world applications related to social networks using graph neural networks (GNNs) and large language models (LLMs). I obtained my Ph.D. degree in June 2023 under the supervision of Prof. Jie Tang in the Department of Computer Science and Technology, Tsinghua University. I got my bachelor’s degree in the Department of Computer Science and Technology, Tsinghua University in 2018. My current research interests include graph neural networks and social network analysis. I’m leading an open-source GNN project, CogDL .


  • Zhen Yang*, Tinglin Huang*, Ming Ding*, Yuxiao Dong, Zhitao Ying, Yukuo Cen, Yangliao Geng, and Jie Tang. BatchSampler: Sampling Mini-Batches for Contrastive Learning in Vision, Language, and Graphs. In KDD’23. [PDF] [Code&Data]
  • Yukuo Cen, Zhenyu Hou, Yan Wang, Qibin Chen, Yizhen Luo, Zhongming Yu, Hengrui Zhang, Xingcheng Yao, Aohan Zeng, Shiguang Guo, Yuxiao Dong, Yang Yang, Peng Zhang, Guohao Dai, Yu Wang, Chang Zhou, Hongxia Yang, and Jie Tang. CogDL: A Comprehensive Library for Graph Deep Learning. In WWW’23. [PDF] [Code&Data]
  • Zhenyu Hou, Yufei He, Yukuo Cen, Xiao Liu, Yuxiao Dong, Evgeny Kharlamov, and Jie Tang. GraphMAE2: A Decoding-enhanced Masked Self-supervised Graph Learner. In WWW’23. [PDF] [Code&Data]
  • Zhenyu Hou, Yukuo Cen, Ziding Liu, Dongxue Wu, Baoyan Wang, Xuanhe Li, Lei Hong, and Jie Tang. MTDiag: An Effective Multi-Task Framework for Automatic Diagnosis. In AAAI’23. [PDF]
  • Zhenyu Hou, Xiao Liu, Yukuo Cen, Yuxiao Dong, Hongxia Yang, Chunjie Wang, and Jie Tang. GraphMAE: Self-Supervised Masked Graph Autoencoders. In KDD’22. [PDF] [Code&Data]
  • Xiao Liu*, Shiyu Zhao*, Kai Su*, Yukuo Cen, Jiezhong Qiu, Mengdi Zhang, Wei Wu, Yuxiao Dong, and Jie Tang. Mask and Reason: Pre-Training Knowledge Graph Transformers for Complex Logical Queries. In KDD’22. [Code&Data]
  • Xiaoxuan Liu, Lianmin Zheng, Dequan Wang, Yukuo Cen, Weize Chen, Xu Han, Jianfei Chen, Zhiyuan Liu, Jie Tang, Joey Gonzalez, Michael Mahoney, and Alvin Cheung. GACT: Activation Compressed Training for Generic Network Architectures. In ICML’22. [PDF]
  • Ziang Li*, Ming Ding*, Weikai Li, Zihan Wang, Ziyu Zeng, Yukuo Cen, and Jie Tang. Rethinking the Setting of Semi-supervised Learning on Graphs. In IJCAI’22. [PDF] [Code&Data]
  • Qinkai Zheng, Xu Zou, Yuxiao Dong, Yukuo Cen, Da Yin, Jiarong Xu, Yang Yang, and Jie Tang. Graph Robustness Benchmark: Benchmarking the Adversarial Robustness of Graph Machine Learning. In NeurIPS’21 Datasets and Benchmarks. [PDF] [Code&Data]
  • Zhenyu Hou, Yukuo Cen, Yuxiao Dong, Jie Zhang, and Jie Tang. Automated Unsupervised Graph Representation Learning. In TKDE’21. [PDF] [Code&Data]
  • Yukuo Cen, Jianwei Zhang, Xu Zou, Chang Zhou, Hongxia Yang, and Jie Tang. Controllable Multi-Interest Framework for Recommendation. In KDD’20. [PDF] [Code&Data]
  • Qibin Chen, Junyang Lin, Yichang Zhang, Ming Ding, Yukuo Cen, Hongxia Yang, and Jie Tang. Towards Knowledge-Based Recommender Dialog System. In EMNLP’19. [PDF] [Code&Data]
  • Yukuo Cen, Xu Zou, Jianwei Zhang, Hongxia Yang, Jingren Zhou and Jie Tang. Representation Learning for Attributed Multiplex Heterogeneous Network. In KDD’19. [PDF] [Code&Data]
  • Yukuo Cen, Jing Zhang, Gaofei Wang, Yujie Qian, Chuizheng Meng, Zonghong Dai, Hongxia Yang, and Jie Tang. Trust Relationship Prediction in Alibaba E-Commerce Platform. In TKDE’19. [PDF] [Code&Data]


  • Chenhui Zhang*, Yufei He*, Yukuo Cen, Zhenyu Hou, Wenzheng Feng, Yuxiao Dong, Xu Cheng, Hongyun Cai, Feng He, Jie Tang. SCR: Training Graph Neural Networks with Consistency Regularization. 2021. [PDF] [Code&Data]


  • June 2, 2022: Invited Talk@BAAI 2022 [slides]
  • Jan 10, 2022: Invited Talk@shenlanxueyuan [slides]
  • KDD Tutorial 2021 [slides] [homepage]
  • June 2021, Invited Talk@BAAI 2021 [slides]
  • June 2020, Invited Talk@BAAI 2020


  • Siebel Scholarship (2021)
  • National Scholarship (2019)
  • Outstanding Graduates Awards of the Department of Computer Science and Technology (2018)
  • Tsinghua University Academic Excellence Award (2015-2017)
  • Gold Medal, The 2014 ACM-ICPC Asia Guangzhou Regional Contest (2014)
  • Gold Medal, National Olympiad in Informatics (NOI 2013)
  • Gold Medal (China Division), Asia-Pacific Informatics Olympiad (APIO 2013)


Conference PC members (Reviewers):

Journal Reviewers:


  • 2022: Lecturer for GNN course for public
  • 2020: Teaching Assistant for AML (advanced machine learning) at Tsinghua University
  • 2019: Teaching Assistant for SOA (software oriented architecture) at Tsinghua University