Hanbin Zhao

Orcid: 0000-0001-8906-4534

According to our database¹, Hanbin Zhao authored at least 51 papers between 2017 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Bibliography

2026

IAP: Improving Continual Learning of Vision-Language Models via Instance-Aware Prompting.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2026

YMAD: An efficient poultry gender classification method based on feature fusion and YOLO model.

[BibT_eX]

[DOI]

Comput. Electron. Agric., 2026

Mass Concept Erasure in Diffusion Models with Concept Hierarchy.

[BibT_eX]

[DOI]

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Bring Your Dreams to Life: Continual Text-to-Video Customization.

[BibT_eX]

[DOI]

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Visuo-Tactile Class-Incremental Learning.

[BibT_eX]

[DOI]

ACM Trans. Multim. Comput. Commun. Appl., November, 2025

DriveDiTFit: Fine-tuning Diffusion Transformers for Autonomous Driving Data Generation.

[BibT_eX]

[DOI]

ACM Trans. Multim. Comput. Commun. Appl., March, 2025

IAP: Improving Continual Learning of Vision-Language Models via Instance-Aware Prompting.

[BibT_eX]

[DOI]

CoRR, March, 2025

TAIL: Text-Audio Incremental Learning.

[BibT_eX]

[DOI]

CoRR, March, 2025

CE-SDWV: Effective and Efficient Concept Erasure for Text-to-Image Diffusion Models via a Semantic-Driven Word Vocabulary.

[BibT_eX]

[DOI]

CoRR, January, 2025

GCSTG: Generating Class-Confusion-Aware Samples With a Tree-Structure Graph for Few-Shot Object Detection.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2025

PECTP: Parameter-Efficient Cross-Task Prompts for Incremental Vision Transformer.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., 2025

Few-Shot Incremental Multi-modal Learning via Touch Guidance and Imaginary Vision Synthesis.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

A Timestep-Adaptive Frequency-Enhancement Framework for Diffusion-based Image Super-Resolution.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

Efficiently Access Diffusion Fisher: Within the Outer Product Span Space.

[BibT_eX]

[DOI]

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Unleashing High-Quality Image Generation in Diffusion Sampling Using Second-Order Levenberg-Marquardt-Langevin.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

FG-OrIU: Towards Better Forgetting via Feature-Gradient Orthogonality for Incremental Unlearning.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Hierarchical Visual Prompt Learning for Continual Video Instance Segmentation.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Energy-Efficient Resource Allocation for V2X Based on GNN and DRL.

[BibT_eX]

[DOI]

Proceedings of the 2025 13th International Conference on Communications and Broadband Networking (ICCBN), 2025

TextToucher: Fine-Grained Text-to-Touch Generation.

[BibT_eX]

[DOI]

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

MOS: Model Surgery for Pre-Trained Model-Based Class-Incremental Learning.

[BibT_eX]

[DOI]

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

2024

Unsupervised Domain Adaptation With Class-Aware Memory Alignment.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., July, 2024

MgSvF: Multi-Grained Slow versus Fast Framework for Few-Shot Class-Incremental Learning.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., March, 2024

Epoch-Evolving Gaussian Process Guided Learning for Classification.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., January, 2024

BELM: Bidirectional Explicit Linear Multi-step Sampler for Exact Inversion in Diffusion Models.

[BibT_eX]

[DOI]

CoRR, 2024

LW2G: Learning Whether to Grow for Prompt-based Continual Learning.

[BibT_eX]

[DOI]

CoRR, 2024

DriveDiTFit: Fine-tuning Diffusion Transformers for Autonomous Driving.

[BibT_eX]

[DOI]

CoRR, 2024

NeuroBind: Towards Unified Multimodal Representations for Neural Signals.

[BibT_eX]

[DOI]

CoRR, 2024

Neural Sinkhorn Gradient Flow.

[BibT_eX]

[DOI]

CoRR, 2024

Solving Zero-Sum Markov Games with Continuous State via Spectral Dynamic Embedding.

[BibT_eX]

[DOI]

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

BELM: Bidirectional Explicit Linear Multi-step Sampler for Exact Inversion in Diffusion Models.

[BibT_eX]

[DOI]

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

D-LLM: A Token Adaptive Computing Resource Allocation Strategy for Large Language Models.

[BibT_eX]

[DOI]

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

Hierarchical Debiasing and Noisy Correction for Cross-domain Video Tube Retrieval.

[BibT_eX]

[DOI]

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

RCS-Prompt: Learning Prompt to Rearrange Class Space for Prompt-Based Continual Learning.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

APISR: Anime Production Inspired Real-World Anime Super-Resolution.

[BibT_eX]

[DOI]

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

GAD-PVI: A General Accelerated Dynamic-Weight Particle-Based Variational Inference Framework.

[BibT_eX]

[DOI]

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

2023

Elastic Knowledge Distillation by Learning From Recollection.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., May, 2023

2022

What and Where: Learn to Plug Adapters via NAS for Multidomain Learning.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2022

Memory-Efficient Class-Incremental Learning for Image Classification.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2022

Structure-conditioned adversarial learning for unsupervised domain adaptation.

[BibT_eX]

[DOI]

Neurocomputing, 2022

PcmNet: Position-sensitive context modeling network for temporal action localization.

[BibT_eX]

[DOI]

Neurocomputing, 2022

Adma-GAN: Attribute-Driven Memory Augmented GANs for Text-to-Image Generation.

[BibT_eX]

[DOI]

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

RBC: Rectifying the Biased Context in Continual Semantic Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Progressive Class-Based Expansion Learning for Image Classification.

[BibT_eX]

[DOI]

Hui Wang

Hanbin Zhao

Xi Li

IEEE Signal Process. Lett., 2021

When Video Classification Meets Incremental Classes.

[BibT_eX]

[DOI]

CoRR, 2021

Unsupervised Domain Adaptation for Image Classification via Structure-Conditioned Adversarial Learning.

[BibT_eX]

[DOI]

CoRR, 2021

When Video Classification Meets Incremental Classes.

[BibT_eX]

[DOI]

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

2020

What and Where: Learn to Plug Adapters via NAS for Multi-Domain Learning.

[BibT_eX]

[DOI]

CoRR, 2020

Few-Shot Class-Incremental Learning via Feature Space Composition.

[BibT_eX]

[DOI]

CoRR, 2020

Epoch-evolving Gaussian Process Guided Learning.

[BibT_eX]

[DOI]

CoRR, 2020

2018

Progressive Blockwise Knowledge Distillation for Neural Network Acceleration.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

2017

一种下肢外骨骼机器人随动控制算法的研究 (Research on Lower Extremity Exoskeleton Robot Servo Control Algorithm).

[BibT_eX]

[DOI]

计算机科学, 2017

Hanbin Zhao

Timeline

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Bibliography

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