Xinjie Yao

About Me

I am a Ph.D. candidate in the Vision Group, Lab of Machine Learning and Data Mining, Tianjin University (TJU), advised by Prof. Pengfei Zhu and Assoc. Prof. Yu Wang. Prior to attending TJU, I obtained my B.Sc. degree and M.Sc. degree from North China Electric Power University (NCEPU) and China University of Petroleum (East China) (UPC) in 2018 and 2021, respectively.

Research Interests

• Collaborative Learning
• Continual Learning
• Multi-View Learning

News

• [2024-05] “Socialized Learning: Making Each Other Better Through Multi-Agent Collaboration” has been accepted by International Conference on Machine Learning (ICML).
• [2024-03] “Integrated Heterogeneous Graph Attention Network for Incomplete Multi-Modal Clustering” has been accepted by International Journal of Computer Vision (IJCV).
• [2024-02] “Multi-View Deep Subspace Clustering Networks” has been accepted by IEEE Transactions on Cybernetics (TCYB).
• [2023-06] Our team has won the runner up of CVPR 2023 Continual Learning Challenge.
• [2022-02] “Latent Heterogeneous Graph Network for Incomplete Multi-View Learning” has been accepted by IEEE Transactions on Multimedia (TMM).

Honors

• [2024] National Scholarship
• [2023] The 2nd place in CVPR 2023 Continual Learning Challenge
• [2021] National Scholarship
• [2021] Outstanding Graduate of Shandong Province

Services

• Workshop organizing committee/member: ICCV 2021, PRCV 2022, ICCV 2023, CCDM 2024
• Reviewer of International Conference on Learning Representations (ICLR)
• Reviewer of Neural Information Processing Systems (NeurIPS)
• Reviewer of IEEE Transactions on Neural Networks and Learning Systems (TNNLS)
• Reviewer of IEEE Access

Selected Publications

Correspondence

• Email: yaoxinjie@tju.edu.cn
• Address: Vision Gruop, Lab of Machine Learning and Data Mining, College of Intelligence and Computing, Tianjin University, Peiyang Park Campus: No.135 Yaguan Road, Haihe Education Park, Tianjin, China