Pinzhuo Tian
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田品卓 |
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、计算机视觉等方面研究。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，相关应用场景包括具身智能、智能系统等。在CVPR、ICLR、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、ICML、ICLR、CVPR、ICCV、ECCV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
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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
[2025] TMM *2 (多媒体领域顶级期刊，1区top, CCF-B类期刊), ICLR *1 (机器学习三大会), CVPR *1 (CCF-A类会议，计算机视觉顶级会议)
[2024] TCYB *1 (人工智能领域顶级期刊，影响因子9.4，1区top), TOMM *1 (ACM旗舰期刊，CCF-B类期刊), ICASSP *2 (CCF-B类会议), TST *1 (1区)
[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
Pinzhuo Tian, Shengjie Yang, Hang Yu, Alex C Kot, Pay Attention to the Foreground in Object-Centric Learning, CVPR 25
Pinzhuo Tian, Xiaojie Zhou, Hang Yu, Shaorong Xie, High Specificity Guided Cross-Domain Few-Shot Segmentation, IEEE Transactions on Multimedia, 2025
Yangtao Chen, Zixuan Chen, Junhui Yin, Jing Huo, Pinzhuo Tian, Jieqi Shi, Yang Gao, GravMAD: Grounded Spatial Value Maps Guided Action Diffusion for Generalized 3D Manipulatio, ICLR 25
Xiaojie Zhou, Hang Yu, Shengjie Yang, Jing Huo, Pinzhuo Tian, Learning from Orthogonal Space with Multimodal Large Models for Generalized Few-shot Segmentation, ACM Transactions on Multimedia Computing, Communications and Applications (ACM TOMM), 2025
Jing Huo, Shiyin Jin, Jiashen Li, Pinzhuo Tian, Wenbin Li, Jing Wu, Yukun Kai, Yang Gao, Dictionary Based Generative Adversarial Network for Multi-Collection Style Transfer, IEEE Transactions on Multimedia, 2025
Qiubo Ma, Hang Yu, Yuan Shan, Pinzhuo Tian, Exploiting the Relationship within the Unlabelled Samples by Set Matching for Generalized Category Discovery, ICASSP 25
Kai Chen, Ji Qi, Jing Huo, Pinzhuo Tian, Fanyu Meng, Xi Yang, Yang Gao, A Self-Evolving Framework for Multi-Agent Medical Consultation Based on Large Language Models, ICASSP 25
Zhiyi Fang, Zhuofeng Li, Qingyong Zhang, Changhua Xu, Pinzhuo Tian, Shaorong Xie, Envisioning a Future Beyond Tomorrow with Script Event Stream Prediction, tsinghua science and technology (TST), 2024
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
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
Pinzhuo Tian, Hang Yu, Can we improve meta-learning model in few-shot learning by aligning data distributions. Knowledge-Based Systems (KBS), 2023
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
Pinzhuo Tian, Shaorong Xie, An Adversarial Meta-training Framework for Cross-domain Few-Shot Learning , IEEE Transactions on Multimedia (TMM), 2022
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
Chao Li, Yujing Hu, Pinzhuo Tian, Shaokang Dong, and Yang Gao, DDMA: Discrepancy-Driven Multi-Agent Reinforcement Learning, PRICAI 22
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
Pinzhuo Tian, YangGao, Improving Meta-Learning Model via Meta-contrastive Loss, Frontiers of Computer Science (FCS), 2021
Pinzhuo Tian, Lei Qi, Shaokang Dong, Yinghua She, YangGao, Consistent MetaReg: Alleviating Intra-task Discrepancy for Better Meta-knowledge, IJCAI 20
Pinzhuo Tian, Zhangkai Wu, Lei Qi, Lei Wang, Yinghuan Shi, Yang Gao, Differentiable Meta-Learning Model for Few-Shot Semantic Segmentation , AAAI20
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