Ji Zhang

Orcid: 0000-0001-6949-3673

Affiliations:

University of Electronic Science and Technology of China, School of Computer Science and Engineering, Chengdu, China

According to our database¹, Ji Zhang authored at least 23 papers between 2018 and 2025.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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Bibliography

2025

Modeling Temporal Dependencies Within the Target for Long-Term Time Series Forecasting.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., December, 2025

Reliable Few-Shot Learning Under Dual Noises.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., October, 2025

A Survey on Efficient Vision-Language-Action Models.

[BibT_eX]

[DOI]

CoRR, October, 2025

A Closer Look at Conditional Prompt Tuning for Vision-Language Models.

[BibT_eX]

[DOI]

CoRR, June, 2025

CoIFNet: A Unified Framework for Multivariate Time Series Forecasting with Missing Values.

[BibT_eX]

[DOI]

CoRR, June, 2025

InSpire: Vision-Language-Action Models with Intrinsic Spatial Reasoning.

[BibT_eX]

[DOI]

CoRR, May, 2025

Policy Contrastive Decoding for Robotic Foundation Models.

[BibT_eX]

[DOI]

CoRR, May, 2025

Out-of-Distribution Generalization in Time Series: A Survey.

[BibT_eX]

[DOI]

CoRR, March, 2025

Skip Tuning: Pre-trained Vision-Language Models are Effective and Efficient Adapters Themselves.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

Effective and Efficient Few-shot Fine-tuning for Vision Transformers.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

DePT: Decoupled Prompt Tuning.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

From Global to Local: Multi-Scale Out-of-Distribution Detection.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2023

A Closer Look at Few-shot Classification Again.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

DETA: Denoised Task Adaptation for Few-Shot Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Progressive Meta-Learning With Curriculum.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., 2022

Free-Lunch for Cross-Domain Few-Shot Learning: Style-Aware Episodic Training with Robust Contrastive Learning.

[BibT_eX]

[DOI]

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Class Gradient Projection For Continual Learning.

[BibT_eX]

[DOI]

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

2021

Co-Adjustment Learning for Co-Clustering.

[BibT_eX]

[DOI]

Cogn. Comput., 2021

Curriculum-Based Meta-learning.

[BibT_eX]

[DOI]

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

2019

Particle Subswarms Collaborative Clustering.

[BibT_eX]

[DOI]

IEEE Trans. Comput. Soc. Syst., 2019

Improved Gaussian-Bernoulli restricted Boltzmann machine for learning discriminative representations.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2019

A factor graph model for unsupervised feature selection.

[BibT_eX]

[DOI]

Inf. Sci., 2019

2018

Softmax Regression by Using Unsupervised Ensemble Learning.

[BibT_eX]

[DOI]

Proceedings of the 9th International Symposium on Parallel Architectures, 2018

Ji Zhang

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