Jian Zhang

Orcid: 0009-0008-9576-4930

Affiliations:
  • Nanjing University, Key Laboratory for Novel Software Technology, Nanjing, China
  • Nanjing University, National Institute of Healthcare Data Science, Nanjing, China


According to our database1, Jian Zhang authored at least 36 papers between 2020 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Towards the Connection between Activation Sparsity and Flat Minima.
CoRR, May, 2026

Are Tools Always Beneficial? Learning to Invoke Tools Adaptively for Dual-Mode Multimodal LLM Reasoning.
CoRR, May, 2026

StableMind: Source-Free Cross-Subject fMRI Decoding with Regularized Adaptation.
CoRR, May, 2026

One Token, Two Fates: A Unified Framework via Vision Token Manipulation Against MLLMs Hallucination.
CoRR, March, 2026

Duala: Dual-Level Alignment of Subjects and Stimuli for Cross-Subject fMRI Decoding.
CoRR, March, 2026

Diversity-Enhanced Collaborative Mamba for Semi-Supervised Medical Image Segmentation.
IEEE Trans. Medical Imaging, February, 2026

When Shared Knowledge Hurts: Spectral Over-Accumulation in Model Merging.
CoRR, February, 2026

A hybrid dual-augmentation constraint framework for single-source domain generalization in medical image segmentation.
Pattern Recognit., 2026

Decomposing and Composing: Towards Efficient Vision-Language Continual Learning via Rank-1 Expert Pool in a Single LoRA.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
MAGIC: Achieving Superior Model Merging via Magnitude Calibration.
CoRR, December, 2025

Unleashing the Power of Intermediate Domains for Mixed Domain Semi-Supervised Medical Image Segmentation.
IEEE Trans. Medical Imaging, November, 2025

On the Implicit Adversariality of Catastrophic Forgetting in Deep Continual Learning.
CoRR, October, 2025

Mamba-Sea: A Mamba-Based Framework With Global-to-Local Sequence Augmentation for Generalizable Medical Image Segmentation.
IEEE Trans. Medical Imaging, September, 2025

Towards Perfection: Building Inter-component Mutual Correction for Retinex-based Low-light Image Enhancement.
Proceedings of the 33rd ACM International Conference on Multimedia, 2025

Fusing Dual Encoders: Single-Source Domain Generalization with Extremely Few Annotations.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

GA-SAM: Geometry-Aware SAM Adaptation with Sparse Annotation-Driven Point Cloud Completion.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

Leveraging Flatness to Improve Information-Theoretic Generalization Bounds for SGD.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Correspondence as Video: Test-Time Adaption on SAM2 for Reference Segmentation in the Wild.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Taste More, Taste Better: Diverse Data and Strong Model Boost Semi-Supervised Crowd Counting.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Balanced Direction from Multifarious Choices: Arithmetic Meta-Learning for Domain Generalization.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Steady Progress Beats Stagnation: Mutual Aid of Foundation and Conventional Models in Mixed Domain Semi-Supervised Medical Image Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024
Exploring Flat Minima for Domain Generalization With Large Learning Rates.
IEEE Trans. Knowl. Data Eng., November, 2024

Domain generalization via Inter-domain Alignment and Intra-domain Expansion.
Pattern Recognit., February, 2024

Dual-Teacher Ensemble Models with Double-Copy-Paste for 3D Semi-Supervised Medical Image Segmentation.
CoRR, 2024

The Devil Is in the Statistics: Mitigating and Exploiting Statistics Difference for Generalizable Semi-supervised Medical Image Segmentation.
Proceedings of the Computer Vision - ECCV 2024, 2024

Learn to Preserve and Diversify: Parameter-Efficient Group with Orthogonal Regularization for Domain Generalization.
Proceedings of the Computer Vision - ECCV 2024, 2024

Constructing and Exploring Intermediate Domains in Mixed Domain Semi-supervised Medical Image Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Generalizable Decision Boundaries: Dualistic Meta-Learning for Open Set Domain Generalization.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

DomainAdaptor: A Novel Approach to Test-time Adaptation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
Inconsistency-Aware Uncertainty Estimation for Semi-Supervised Medical Image Segmentation.
IEEE Trans. Medical Imaging, 2022

Generalizable model-agnostic semantic segmentation via target-specific normalization.
Pattern Recognit., 2022

A time-incorporated SOFA score-based machine learning model for predicting mortality in critically ill patients: A multicenter, real-world study.
Int. J. Medical Informatics, 2022

MVDG: A Unified Multi-view Framework for Domain Generalization.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
More is Better: A Novel Multi-view Framework for Domain Generalization.
CoRR, 2021

Interactive medical image segmentation via a point-based interaction.
Artif. Intell. Medicine, 2021

2020
Generalizable Semantic Segmentation via Model-agnostic Learning and Target-specific Normalization.
CoRR, 2020


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