Pinzhuo Tian

Orcid: 0000-0002-5472-2469

According to our database1, Pinzhuo Tian authored at least 18 papers between 2018 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2025
DeCo: Task Decomposition and Skill Composition for Zero-Shot Generalization in Long-Horizon 3D Manipulation.
CoRR, May, 2025

GravMAD: Grounded Spatial Value Maps Guided Action Diffusion for Generalized 3D Manipulation.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Exploiting the Relationship within the Unlabelled Samples by Set Matching for Generalized Category Discovery.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

A Self-Evolving Framework for Multi-Agent Medical Consultation Based on Large Language Models.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Pay Attention to the Foreground in Object-Centric Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024
Modeling Rationality: Toward Better Performance Against Unknown Agents in Sequential Games.
IEEE Trans. Cybern., May, 2024

2023
LibFewShot: A Comprehensive Library for Few-Shot Learning.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2023

Can we improve meta-learning model in few-shot learning by aligning data distributions?
Knowl. Based Syst., October, 2023

Incremental event detection via an improved knowledge distillation based model.
Neurocomputing, September, 2023

An Adversarial Meta-Training Framework for Cross-Domain Few-Shot Learning.
IEEE Trans. Multim., 2023

An Efficient Deep Reinforcement Learning Algorithm for Solving Imperfect Information Extensive-Form Games.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Improving meta-learning model via meta-contrastive loss.
Frontiers Comput. Sci., October, 2022

Consistent Meta-Regularization for Better Meta-Knowledge in Few-Shot Learning.
IEEE Trans. Neural Networks Learn. Syst., 2022

DDMA: Discrepancy-Driven Multi-agent Reinforcement Learning.
Proceedings of the PRICAI 2022: Trends in Artificial Intelligence, 2022

2021
Improving the Generalization of Meta-learning on Unseen Domains via Adversarial Shift.
CoRR, 2021

2020
Consistent MetaReg: Alleviating Intra-task Discrepancy for Better Meta-knowledge.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Differentiable Meta-Learning Model for Few-Shot Semantic Segmentation.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2018
A Novel Image-Specific Transfer Approach for Prostate Segmentation in MR Images.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018


  Loading...