周千寓

周千寓，2024年获上海交通大学工学博士学位，师从中国工程院院士候选人马利庄教授。研究方向为计算机视觉、计算机图形图像。发表IEEE TPAMI、IEE TIP、CVPR、ICCV、NeurIPS等高水平论文40余篇，谷歌学术引用量总计超1700次。已授权国家发明专利7件，曾获世界互联网大会领先科技奖、世界人工智能大会青年优秀论文奖入围、CAD/Graphics 2023最佳论文奖、ICASSP 2023前3%优秀论文表彰奖、上海交通大学致远荣誉博士（博士生最高荣誉）、吉林大学十佳大学生（本科生最高荣誉）等荣誉。

长期每年招收博士研究生1名、硕士研究生3名、本科生科研助理若干。对学生因材施教，曾指导或协助指导多名本科生、硕士生、博士生科研，具有丰富的指导经验。欢迎对于计算机视觉研究有浓厚兴趣、目标发表顶会顶刊的同学邮件联系。希望你：1）有强烈的自驱力（Self-Motivation），真正喜欢人工智能与科研工作；2）具有较强的自学能力、编程能力和英语水平。如果你对本课题组感兴趣，请通过邮件联系我并随信附上你的简历、成绩单和其它证明材料（有任何疑问欢迎邮件预约面谈）

2019.09 —— 2024.06 上海交通大学 计算机科学与工程系 博士

2015.09 —— 2019.06 吉林大学 计算机科学与技术学院 学士

在计算机视觉、人工智能等领域发表学术论文40余篇，代表性论文信息如下（*为共同第一作者，#为通讯作者）。

[1] Qianyu Zhou, Xiangtai Li, Lu He, Yibo Yang, Guangliang Cheng, Yunhai Tong, Lizhuang Ma, Dacheng Tao. “TransVOD: End-to-End Video Object Detection with Spatial-Temporal Transformers,” in IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 45, no. 6, pp. 7853-7869, 2023. (CCF-A, ESI高被引论文)

[2] Qianyu Zhou, Qiqi Gu, Jiangmiao Pang, Xuequan Lu, Lizhuang Ma. “Self-Adversarial Disentangling for Specific Domain Adaptation,” in IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 45, no. 7, pp. 7853-7869, 2023. (CCF-A)

[3] Qianyu Zhou, Ke-Yue Zhang, Taiping Yao, Xuequan Lu, Shouhong Ding, Lizhuang Ma. “Test-Time Domain Generalization for Face Anti-Spoofing,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 175-187, Seattle, USA, June 17-21, 2024. (CCF-A)

[4] Qianyu Zhou, Ke-Yue Zhang, Taiping Yao, Xuequan Lu, Ran Yi, Shouhong Ding, Lizhuang Ma. “Instance-Aware Domain Generalization for Face Anti-Spoofing,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 20453-20463, Vancouver, BC, Canada, June 18-22, 2023. (CCF-A)

[5] Qianyu Zhou, Ke-Yue Zhang, Taiping Yao, Ran Yi, Shouhong Ding, Lizhuang Ma.“Adaptive Mixture of Experts Learning for Generalizable Face Anti-Spoofing,” in Proceedings of the 30th ACM International Conference on Multimedia (ACM MM), pp. 6009-6018, Lisboa, Portugal, October 10-14, 2022. (CCF-A)

[6] Shaocong Long*, Qianyu Zhou*, Chenhao Ying, Lizhuang Ma, Yuan Luo. "Diverse Target and Contribution Scheduling for Domain Generalization," in IEEE Transactions on Image Processing, vol. 34, pp. 4242-4257, 2025. (CCF-A)

[7] Hao Yang*, Qianyu Zhou*, Haijia Sun, Xiangtai Li, Fengqi Liu, Xuequan Lu, Lizhuang Ma, and Shuicheng Yan. “PointDGMamba: Domain Generalization of Point Cloud Classification via generalized state space model,”. In Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence (AAAI), vol. 39. AAAI Press, Article 1022, 9193–9201. (CCF-A)

[8] Yinghui Li*, Qianyu Zhou*, Jingyu Gong, Ye Zhu, Richard Dazeley, Xinkui Zhao, and Xuequan Lu. “DAPoinTr: Domain Adaptive Point Transformer for Point Cloud Completion,”. In Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence (AAAI), vol. 39. AAAI Press, Article 564, 5066–5074. (CCF-A)

[9] Jincen Jiang, Qianyu Zhou*, Yuhang Li, Xinkui Zhao, Meili Wang, Lizhuang Ma, Jian Chang, Jian Jun Zhang, and Xuequan Lu. PCoTTA: Continual Test-Time Adaptation for Multi-Task Point Cloud Understanding. In Proceedings of the 38th International Conference on Neural Information Processing Systems (NeurIPS), vol. 37. Red Hook, NY, USA, Article 3050, 96229–96253, 2024.(CCF-A)

[10] Yiran Song*, Qianyu Zhou*, Xiangtai Li, Deng-PingFan, Xuequan Lu, Lizhuang Ma. “BA-SAM: Scalable Bias-Mode Attention Mask for Segment Anything Model,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 3162-3173, Seattle, USA, June 17-21, 2024. (CCF-A)

[11] Qiqi Gu*, Qianyu Zhou*, Minghao Xu, Zhengyang Feng, Guangliang Cheng, Xuequan Lu, Jianping Shi, Lizhuang Ma. “PIT: Position-Invariant Transform for Cross-FoV Domain Adaptation,” in IEEE/CVF International Conference on Computer Vision (ICCV), pp. 8741-8750, Montreal, BC, Canada, Oct.10-17, 2021. (CCF-A)

[12] Shaocong Long*, Qianyu Zhou*, Xiangtai Li, Xuequan Lu, Chenhao Ying, Yuan Luo, Lizhuang Ma, Shuicheng Yan. “DGMamba: Domain Generalization via Generalized State Space Model,” in Proceedings of the 32nd ACM International Conference on Multimedia (ACM MM), 2024., Melbourne, Australia, October 28 - November 1, 2024. (CCF-A)

[13] Lu He*, Qianyu Zhou*, Xiangtai Li, Li Niu, Guangliang Cheng, Xiao Li, Wenxuan Liu, Yunhai Tong, Lizhuang Ma, Liqing Zhang. “End-to-End Video Object Detection with Spatial-Temporal Transformers,” in Proceedings of the 29th ACM International Conference on Multimedia (ACM MM), pp. 1507-1516, Virtual Event China, October 20-24, 2021. (CCF-A)

副编辑/分会主席：

n The Visual Computer (TVC)

n ACM International Conference on Multimedia (ACM MM)

期刊审稿人：

n IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)

n International Journal of Computer Vision (IJCV)

n IEEE Transactions on Image Processing (TIP)

n IEEE Transactions on Multimedia (TMM)

n IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)

n Information Fusion (INFFUS)

n Pattern Recognition (PR)

会议审稿人：

n IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

n IEEE International Conference on Computer Vision (ICCV)

n European Conference on Computer Vision (ECCV)

n International Conference on Machine Learning (ICML)

n AAAI Conference on Artificial Intelligence (AAAI)

n ACM International Conference on Multimedia (ACM MM)