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, Prof. Qinghua Hu 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

• [2025-06] “Visible-Thermal Cross-Modality Class-Incremental Learning” has been accepted by Expert Systems With Applications (ESWA, CCF-C, 中科院一区Top期刊, JCR Q1, IF=7.55).
• [2025-05] “Socialized Coevolution: Advancing a Better World through Cross-Task Collaboration” has been accepted by International Conference on Machine Learning (ICML, CCF-A).
• [2024-12] “Zero-Shot Learning in Industrial Scenarios: New Large-Scale Benchmark, Challenges and Baseline” has been accepted by AAAI Conference on Artificial Intelligence (AAAI, CCF-A).
• [2024-12] Our team won the Bronze Medal in the University Track of the 2024 National Finals of the Ascend AI Innovation Competition.
• [2024-11] I have been awarded the National Scholarship.
• [2024-11] Our team won the Gold Medal in the University Track of the 2024 Tianjin Regional Finals of the Ascend AI Innovation Competition.
• [2024-05] I have been recognized as the “Outstanding Youth” by the College of Intelligence and Computing at Tianjin University.
• [2024-05] “Socialized Learning: Making Each Other Better Through Multi-Agent Collaboration” has been accepted by International Conference on Machine Learning (ICML, CCF-A).
• [2024-03] “Integrated Heterogeneous Graph Attention Network for Incomplete Multi-Modal Clustering” has been accepted by International Journal of Computer Vision (IJCV, CCF-A, 中科院二区, JCR Q1, IF=11.6).
• [2024-02] “Multi-View Deep Subspace Clustering Networks” has been accepted by IEEE Transactions on Cybernetics (TCYB, CCF-B, 中科院一区Top期刊, JCR Q1, IF=9.4).
• [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, CCF-B, 中科院一区Top期刊, JCR Q1, IF=8.4).

Honors

• [2024] National Scholarship
• [2024] The third place in the University Track of the 2024 National Finals of the Ascend AI Innovation Competition
• [2024] The first place in the University Track of the 2024 Tianjin Regional Finals of the Ascend AI Innovation Competition
• [2024] Outstanding Youth of the College of Intelligence and Computing at Tianjin University
• [2023] The second 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 Machine Learning (ICML)
• Reviewer of Neural Information Processing Systems (NeurIPS)
• Reviewer of International Conference on Learning Representations (ICLR)
• Reviewer of International Conference on Computer Vision (ICCV)
• Reviewer of International Conference on Artificial Intelligence and Statistics (AISTATS)
• Reviewer of IEEE Transactions on Image Processing (TIP)
• Reviewer of IEEE Transactions on Knowledge and Data Engineering (TKDE)
• Reviewer of IEEE Transactions on Neural Networks and Learning Systems (TNNLS)
• Reviewer of IEEE Transactions on Multimedia (TMM)
• Reviewer of IEEE Transactions on Fuzzy Systems (TFS)
• Reviewer of IEEE Transactions on Cybernetics (TCYB)
• Reviewer of IEEE Transactions on Systems Man Cybernetics-Systems (TSMCA)
• Reviewer of IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)
• Reviewer of IEEE Transactions on Geoscience and Remote Sensing (TGRS)
• Reviewer of IEEE Transactions on Big Data (TBD)
• Reviewer of IEEE Transactions on Emerging Topics in Computational Intelligence (TETCI)
• Reviewer of IEEE Access

Selected Publications

Correspondence

• Email: yaoxinjie@tju.edu.cn
• Address: Vision Group, 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