田品卓 讲师，硕士生导师 School of Computer Engineering and Science Shanghai University E-mail: pinzhuo [@]shu [DOT] edu [DOT]cn

About me

本人于2021年9月博士毕业于南京大学软件新技术国家重点实验室，2021年11月进入上海大学。从事于机器学习、人工智能等方面研究。目前主要围绕如何构建开放场景下的视觉感知及决策方法进行研究，相关应用场景包括图像识别、语义分割等经典计算机视觉任务、基于不同人称视角下的视觉感知及智能系统决策、AI for Science等。在AAAI、IJCAI，TPAMI、TCYB、TNNLS、TMM等CCF-A，B类，机器学习、人工智能、计算机视觉领域的著名学术会议和期刊上发表文章十余篇，并担任NeurIPS、ICLR、CVPR、ICCV、AAAI、AISTATS、TNNLS、ML等CCF-A，B类国际会议期刊审稿人。相关研究工作受到国家自然科学基金、上海市扬帆等项目支持，曾获得南京市人工智能产业人才“兴智计划”资助，南京大学优秀毕业生，AAAI20学生旅行奖，CGCKD2022优秀学生论文，并在IJCAI-YES、ACCV上进行学术报告。

I received my Ph.D. degree from the State Key Laboratory for Novel Software Technology at Nanjing University in 2021. I'm interested in machine learning, representation learning and so on. Recently, I focus on developing innovative methods for representation and decision-making in open environments.

News

• 请各位同学确定保研或考研录取资格以后，再邮件联系我。另外由于指导名额有限，请各位同学尽量提前半年以上联系，因时间有限并不会回复每一位同学，谢谢

• 24年研究生已招满。题组优势：紧跟最新前沿技术，会和学生进行良性互动，经常讨论和指导，有机器学习方面的实战项目以提升动手实践能力

• [2024] TCYB *1 (人工智能领域顶级期刊，影响因子9.4，1区top)

• [2023] TPAMI *1 (计算机视觉领域顶级期刊，影响因子：20.8，1区top), AAAI23 *1 (CCF A类会议), KBS *1（影响因子：7.2，1区top), Neurocomputing *1 (2区), ACCV tutorial *1 （联合南京大学计算机科学与技术系 李文斌教授和人工智能学院 叶翰嘉教授), 上海大学本科生学术论坛 三等奖

• [2022] TMM *1 (多媒体领域顶级期刊，影响因子：8.4，1区top), CGKD2022优秀学生论文奖（掼蛋AI）*1, PRICAI *1

• [2018-2021] AAAI 20 *1 (CCF A类会议)，IJCAI20 *1 (CCF A类会议), TNNLS (人工智能领域顶级期刊，影响因子10.2，1区top), FCS (2区), ICASSP18 (CCF-B类会议)

Publications

1. Zhenxing Ge, Shangdong Yang, Pinzhuo Tian, Zixuan Chen, Yang Gao, Modeling Rationality: Towards Better Performance Against Unknown Agents in Sequential Games, IEEE Transactions on Cybernetics (TCYB), 2024

2. Linjian Meng, Zhenxing Ge, Pinzhuo Tian, Bo An, Yang Gao, Deep FTRL-ORW: An Efficient Deep Reinforcement Learning Algorithm for Solving Imperfect Information Extensive-Form Games, AAAI-23

3. Pinzhuo Tian, Hang Yu, Can we improve meta-learning model in few-shot learning by aligning data distributions. Knowledge-Based Systems (KBS), 2023

4. Wenbin Li, Ziyi Wang, Xuesong Yang, Chuanqi Dong, Pinzhuo Tian, Tiexin Qin, Jing Huo, Yinghuan Shi, Lei Wang, Yang Gao, Jiebo Luo, LibFewShot: A Comprehensive Library for Few-Shot Learning, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023

5. Pinzhuo Tian, Shaorong Xie, An Adversarial Meta-training Framework for Cross-domain Few-Shot Learning , IEEE Transactions on Multimedia (TMM), 2022

6. Zhenxing Ge, Shuai Xiang, Pinzhuo Tian, Yang Gao, 基于深度强化学习的惯蛋扑克博弈求解, CGCKD2022, 优秀学生论文奖

7. Chao Li, Yujing Hu, Pinzhuo Tian, Shaokang Dong, and Yang Gao, DDMA: Discrepancy-Driven Multi-Agent Reinforcement Learning, PRICAI 22

8. Pinzhuo Tian, Wenbin Li, YangGao, Consistent Meta Regularization for Better Meta-knowledge in Few-shot Learning, IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021

9. Pinzhuo Tian, YangGao, Improving Meta-Learning Model via Meta-contrastive Loss, Frontiers of Computer Science (FCS), 2021

10. Pinzhuo Tian, Lei Qi, Shaokang Dong, Yinghua She, YangGao, Consistent MetaReg: Alleviating Intra-task Discrepancy for Better Meta-knowledge, IJCAI 20

11. Pinzhuo Tian, Zhangkai Wu, Lei Qi, Lei Wang, Yinghuan Shi, Yang Gao, Differentiable Meta-Learning Model for Few-Shot Semantic Segmentation , AAAI20

12. Pinzhuo Tian, Lei Qi, Yinghuan Shi, Luping Zhou, Yang Gao, Dinggang Shen, A Novel Image-Specific Transfer Approach for Prostate Segmentation in MR Images, ICASSP 18

Address

Room 415, Computer Science Building, Baoshan Campus, Shanghai University