Pinzhuo Tian

Orcid: 0000-0002-5472-2469

According to our database1, Pinzhuo Tian authored at least 14 papers between 2018 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

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

GravMAD: Grounded Spatial Value Maps Guided Action Diffusion for Generalized 3D Manipulation.
CoRR, 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


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