A Novel Image-Specific Transfer Approach for Prostate Segmentation in MR Images. - Pinzhuo Tian; Lei Qi 001; Yinghuan Shi; Luping Zhou; Yang Gao 001; Dinggang Sheri (ICASSP, 2018)

Differentiable Meta-Learning Model for Few-Shot Semantic Segmentation. - Pinzhuo Tian; Zhangkai Wu; Lei Qi 001; Lei Wang 001; Yinghuan Shi; Yang Gao 001 (AAAI, 2020)

Consistent MetaReg: Alleviating Intra-task Discrepancy for Better Meta-knowledge. - Pinzhuo Tian; Lei Qi 001; Shaokang Dong; Yinghuan Shi; Yang Gao 001 (IJCAI, 2020)

Improving the Generalization of Meta-learning on Unseen Domains via Adversarial Shift. - Pinzhuo Tian; Yao Gao (CoRR, 2021)

DDMA: Discrepancy-Driven Multi-agent Reinforcement Learning. - Chao Li; Yujing Hu; Pinzhuo Tian; Shaokang Dong; Yang Gao 001 (PRICAI (3), 2022)

Consistent Meta-Regularization for Better Meta-Knowledge in Few-Shot Learning. - Pinzhuo Tian; Wenbin Li 006; Yang Gao 001 (IEEE Trans. Neural Networks Learn. Syst., 2022)

Improving meta-learning model via meta-contrastive loss. - Pinzhuo Tian; Yang Gao 001 (Frontiers Comput. Sci., 2022)

An Efficient Deep Reinforcement Learning Algorithm for Solving Imperfect Information Extensive-Form Games. - Linjian Meng; Zhenxing Ge; Pinzhuo Tian; Bo An 001; Yang Gao 001 (AAAI, 2023)

An Adversarial Meta-Training Framework for Cross-Domain Few-Shot Learning. - Pinzhuo Tian; Shaorong Xie (IEEE Trans. Multim., 2023)

Incremental event detection via an improved knowledge distillation based model. - Yi Lin; Changhua Xu; Hang Yu 006; Pinzhuo Tian; Xiangfeng Luo (Neurocomputing, 2023)

Can we improve meta-learning model in few-shot learning by aligning data distributions? - Pinzhuo Tian; Hang Yu 006 (Knowl. Based Syst., 2023)

LibFewShot: A Comprehensive Library for Few-Shot Learning. - Wenbin Li 006; Ziyi Wang; Xuesong Yang; Chuanqi Dong; Pinzhuo Tian; Tiexin Qin; Jing Huo; Yinghuan Shi; Lei Wang 001; Yang Gao 001; Jiebo Luo 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Modeling Rationality: Toward Better Performance Against Unknown Agents in Sequential Games. - Zhenxing Ge; Shangdong Yang; Pinzhuo Tian; Zixuan Chen; Yang Gao 001 (IEEE Trans. Cybern., 2024)

Pay Attention to the Foreground in Object-Centric Learning. - Pinzhuo Tian; Shengjie Yang; Hang Yu; Alex C. Kot (CVPR, 2025)

A Self-Evolving Framework for Multi-Agent Medical Consultation Based on Large Language Models. - Kai Chen 026; Ji Qi; Jing Huo; Pinzhuo Tian; Fanyu Meng; Xi Yang; Yang Gao 001 (ICASSP, 2025)

Exploiting the Relationship within the Unlabelled Samples by Set Matching for Generalized Category Discovery. - Qiubo Ma; Hang Yu; Yuan Shan; Pinzhuo Tian (ICASSP, 2025)

GravMAD: Grounded Spatial Value Maps Guided Action Diffusion for Generalized 3D Manipulation. - Yangtao Chen; Zixuan Chen; Junhui Yin; Jing Huo; Pinzhuo Tian; Jieqi Shi; Yang Gao 001 (ICLR, 2025)

DeCo: Task Decomposition and Skill Composition for Zero-Shot Generalization in Long-Horizon 3D Manipulation. - Zixuan Chen; Junhui Yin; Yangtao Chen; Jing Huo; Pinzhuo Tian; Jieqi Shi; Yiwen Hou; Yinchuan Li; Yang Gao 001 (CoRR, 2025)