Yuhang He

Orcid: 0000-0002-6750-1403

Affiliations:

Xi'an Jiaotong University, Institute of Artificial Intelligence and Robotics, Xi'an, China

According to our database¹, Yuhang He authored at least 57 papers between 2020 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Bibliography

2026

Beyond World-Frame Action Heads: Motion-Centric Action Frames for Vision-Language-Action Models.

[BibT_eX]

[DOI]

CoRR, May, 2026

Learn by Reasoning: Analogical Weight Generation for Few-Shot Class-Incremental Learning.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., April, 2026

Learning Like Humans: Analogical Concept Learning for Generalized Category Discovery.

[BibT_eX]

[DOI]

CoRR, March, 2026

GFPL: Generative Federated Prototype Learning for Resource-Constrained and Data-Imbalanced Vision Task.

[BibT_eX]

[DOI]

CoRR, February, 2026

Is Parameter Isolation Better for Prompt-Based Continual Learning?

[BibT_eX]

[DOI]

CoRR, January, 2026

IOTA: Corrective Knowledge-Guided Prompt Learning via Black-White Box Framework.

[BibT_eX]

[DOI]

CoRR, January, 2026

P2L-CA: An Effective Parameter Tuning Framework for Rehearsal-Free Multi-Label Class-Incremental Learning.

[BibT_eX]

[DOI]

CoRR, January, 2026

Multi-Task Unified Domain Incremental Learning With Domain Difference Adapters.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2026

Diversity covariance-aware prompt learning for vision-language models.

[BibT_eX]

[DOI]

Pattern Recognit., 2026

Shared & Domain Self-Adaptive Experts with Frequency-Aware Discrimination for Continual Test-Time Adaptation.

[BibT_eX]

[DOI]

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

GOAL: Geometrically Optimal Alignment for Continual Generalized Category Discovery.

[BibT_eX]

[DOI]

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

VDC-Agent: When Video Detailed Captioners Evolve Themselves via Agentic Self-Reflection.

[BibT_eX]

[DOI]

CoRR, November, 2025

Unleashing the Power of Neural Collapse: Consistent Supervised-Unsupervised Alignment for Generalized Category Discovery.

[BibT_eX]

[DOI]

CoRR, July, 2025

ExPaMoE: An Expandable Parallel Mixture of Experts for Continual Test-Time Adaptation.

[BibT_eX]

[DOI]

CoRR, July, 2025

Unleashing the Potential of All Test Samples: Mean-Shift Guided Test-Time Adaptation.

[BibT_eX]

[DOI]

CoRR, July, 2025

Cross-Domain Invariant Feature Absorption and Domain-Specific Feature Retention for Domain Incremental Chest X-Ray Classification.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, May, 2025

Beyond CLIP Generalization: Against Forward&Backward Forgetting Adapter for Continual Learning of Vision-Language Models.

[BibT_eX]

[DOI]

CoRR, May, 2025

CEAT: Continual Expansion and Absorption Transformer for Non-Exemplar Class-Incremental Learning.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., April, 2025

Class-Independent Increment: An Efficient Approach for Multi-label Class-Incremental Learning.

[BibT_eX]

[DOI]

CoRR, March, 2025

Space Rotation with Basis Transformation for Training-free Test-Time Adaptation.

[BibT_eX]

[DOI]

CoRR, February, 2025

Analogical Augmentation and Significance Analysis for Online Task-Free Continual Learning.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2025

A Bayesian dual-pathway network for unsupervised domain adaptation.

[BibT_eX]

[DOI]

Pattern Recognit., 2025

Consistent Supervised-Unsupervised Alignment for Generalized Category Discovery.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

CIA: Class- and Instance-aware Adaptation for Vision-Language Models.

[BibT_eX]

[DOI]

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

Boosting Domain Incremental Learning: Selecting the Optimal Parameters is All You Need.

[BibT_eX]

[DOI]

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

Dynamic Integration of Task-Specific Adapters for Class Incremental Learning.

[BibT_eX]

[DOI]

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

Learning Endogenous Attention for Incremental Object Detection.

[BibT_eX]

[DOI]

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

SuLoRA: Subspace Low-Rank Adaptation for Parameter-Efficient Fine-Tuning.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2025

DualCP: Rehearsal-Free Domain-Incremental Learning via Dual-Level Concept Prototype.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Domain Incremental Object Detection Based on Feature Space Topology Preserving Strategy.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., January, 2024

Analogical Learning-Based Few-Shot Class-Incremental Learning.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., 2024

Knowledge Synergy Learning for Multi-Modal Tracking.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., 2024

Global self-sustaining and local inheritance for source-free unsupervised domain adaptation.

[BibT_eX]

[DOI]

Pattern Recognit., 2024

GridShow: Omni Visual Generation.

[BibT_eX]

[DOI]

CoRR, 2024

LOBG:Less Overfitting for Better Generalization in Vision-Language Model.

[BibT_eX]

[DOI]

CoRR, 2024

Dynamic Integration of Task-Specific Adapters for Class Incremental Learning.

[BibT_eX]

[DOI]

CoRR, 2024

Continual Novel Class Discovery via Feature Enhancement and Adaptation.

[BibT_eX]

[DOI]

CoRR, 2024

I2CANSAY:Inter-Class Analogical Augmentation and Intra-Class Significance Analysis for Non-Exemplar Online Task-Free Continual Learning.

[BibT_eX]

[DOI]

CoRR, 2024

CEAT: Continual Expansion and Absorption Transformer for Non-Exemplar Class-Incremental Learning.

[BibT_eX]

[DOI]

CoRR, 2024

Prompt-Agnostic Adversarial Perturbation for Customized Diffusion Models.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Enhancing Pre-trained ViTs for Downstream Task Adaptation: A Locality-Aware Prompt Learning Method.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Projecting Points to Axes: Oriented Object Detection via Point-Axis Representation.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

Non-exemplar Domain Incremental Learning via Cross-Domain Concept Integration.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

Beyond Prompt Learning: Continual Adapter for Efficient Rehearsal-Free Continual Learning.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

DYSON: Dynamic Feature Space Self-Organization for Online Task-Free Class Incremental Learning.

[BibT_eX]

[DOI]

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

Evolving Parameterized Prompt Memory for Continual Learning.

[BibT_eX]

[DOI]

Muhammad Rifki Kurniawan

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Non-exemplar Domain Incremental Object Detection via Learning Domain Bias.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Knowledge Restore and Transfer for Multi-label Class-Incremental Learning.

[BibT_eX]

[DOI]

CoRR, 2023

Non-Exemplar Class-Incremental Learning via Adaptive Old Class Reconstruction.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Knowledge Restore and Transfer for Multi-Label Class-Incremental Learning.

[BibT_eX]

[DOI]

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

DKT: Diverse Knowledge Transfer Transformer for Class Incremental Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Identity-Quantity Harmonic Multi-Object Tracking.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2022

2021

Know Your Surroundings: Panoramic Multi-Object Tracking by Multimodality Collaboration.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

Error-Aware Density Isomorphism Reconstruction for Unsupervised Cross-Domain Crowd Counting.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Multi-Target Multi-Camera Tracking by Tracklet-to-Target Assignment.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2020

VisDrone-MOT2020: The Vision Meets Drone Multiple Object Tracking Challenge Results.

[BibT_eX]

[DOI]

Kannappan Palaniappan

Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

City-Scale Multi-Camera Vehicle Tracking by Semantic Attribute Parsing and Cross-Camera Tracklet Matching.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Yuhang He

Timeline

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