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师资队伍
发布时间:2025-09-15
姓名:
周天飞
职称:
教授
导师类型:
博士生导师
学科方向:
人工智能,智能科学与技术
电子邮件:
tfzhou@bit.edu.cn

个人信息

周天飞,教授,博士生导师,国家级青年人才。研究领域为人工智能、大模型、多模态学习等。在国际顶级期刊和学术会议(如IEEE TPAMI、ICML、ICLR、NeurIPS、CVPR、ICCV)发表学术论文60余篇,第一作者论文获医疗图像分析领域顶会MICCAI的最佳论文奖(2022年)、世界人工智能大会青年优秀论文提名奖(2021年)、入选斯坦福“全球前2%顶尖科学家”榜单、带领学生在8个国际学术竞赛中获得冠军。担任IEEE TCSVT特邀编辑、Multimedia Tools and Applications副主编等。 每年计划招生博士生1人,硕士研究生3-4人,同时欢迎高年级优秀本科生加入课题组。个人主页:https://www.tfzhou.com。

代表性成果

  1. Fei Zhang, Tianfei Zhou, Jiangchao Yao, Ya Zhang, Ivor W Tsang, Yanfeng Wang. Decouple before Align: Visual Disentanglement Enhances Prompt Tuning. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025. (CCF-A)

  2. Tianfei Zhou, Ye Yuan, Binglu Wang, Ender Konukoglu. Federated feature augmentation and alignment. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024. (CCF-A)

  3. Tianfei Zhou, Wenguan Wang. Cross-Image Pixel Contrasting for Semantic Segmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024. (CCF-A)

  4. Tianfei Zhou, Yi Yang, Wenguan Wang. Differentiable multi-granularity human parsing. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023. (CCF-A)

  5. Liulei Li, Wenguan Wang, Tianfei Zhou, Ruijie Quan, Yi Yang. Semantic hierarchy-aware segmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023. (CCF-A)

  6. Chen Liang, Wenguan Wang, Tianfei Zhou, Jiaxu Miao, Yawei Luo, Yi Yang. Local-global context aware transformer for language-guided video segmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023. (CCF-A)

  7. Tianfei Zhou, Fatih Porikli, David Crandall, Luc Van Gool, Wenguan Wang. A survey on deep learning technique for video segmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023. (CCF-A)

  8. Tianfei Zhou, Siyuan Qi, Wenguan Wang, Jianbing Shen, Song-Chun Zhu. Cascaded parsing of human-object interaction recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021. (CCF-A)