Hanbin Zhao

According to our database, Hanbin Zhao authored at least 42 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

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

Fangyikang Wang, Hubery Yin, Lei Qian, Yinan Li, Shaobin Zhuang, Huminhao Zhu, Yilin Zhang, Yanlong Tang, Chao Zhang, Hanbin Zhao, Hui Qian, Chen Li

CoRR, May, 2025

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

Fangyikang Wang, Hubery Yin, Shaobin Zhuang, Huminhao Zhu, Yinan Li, Lei Qian, Chao Zhang, Hanbin Zhao, Hui Qian, Chen Li

CoRR, May, 2025

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

Jiahang Tu, Wei Ji, Hanbin Zhao, Chao Zhang, Roger Zimmermann, Hui Qian

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

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

Hao Fu, Hanbin Zhao, Jiahua Dong, Chao Zhang, Hui Qian

CoRR, March, 2025

TAIL: Text-Audio Incremental Learning.

Yingfei Sun, Xu Gu, Wei Ji, Hanbin Zhao, Hao Fei, Yifang Yin, Roger Zimmermann

CoRR, March, 2025

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

Jiahang Tu, Qian Feng, Chufan Chen, Jiahua Dong, Hanbin Zhao, Chao Zhang, Hui Qian

CoRR, January, 2025

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

Longrong Yang, Hanbin Zhao, Hongliang Li, Liang Qiao, Ziwei Yang, Xi Li

IEEE Trans. Image Process., 2025

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

Jiahang Tu, Hao Fu, Fengyu Yang, Hanbin Zhao, Chao Zhang, Hui Qian

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

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

Hai-Long Sun, Da-Wei Zhou, Hanbin Zhao, Le Gan, De-Chuan Zhan, Han-Jia Ye

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

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

Fangyikang Wang, Huminhao Zhu, Chao Zhang, Hanbin Zhao, Hui Qian

Entropy, August, 2024

Unsupervised Domain Adaptation With Class-Aware Memory Alignment.

Hui Wang, Liangli Zheng, Hanbin Zhao, Shijian Li, Xi Li

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

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

Hanbin Zhao, Yongjian Fu, Mintong Kang, Qi Tian, Fei Wu, Xi Li

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

Epoch-Evolving Gaussian Process Guided Learning for Classification.

Jiabao Cui, Xuewei Li, Hanbin Zhao, Hui Wang, Bin Li, Xi Li

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

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

Fangyikang Wang, Hubery Yin, Yuejiang Dong, Huminhao Zhu, Chao Zhang, Hanbin Zhao, Hui Qian, Chen Li

CoRR, 2024

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

Qian Feng, Dawei Zhou, Hanbin Zhao, Chao Zhang, Hui Qian

CoRR, 2024

DriveDiTFit: Fine-tuning Diffusion Transformers for Autonomous Driving.

Jiahang Tu, Wei Ji, Hanbin Zhao, Chao Zhang, Roger Zimmermann, Hui Qian

CoRR, 2024

NeuroBind: Towards Unified Multimodal Representations for Neural Signals.

Fengyu Yang, Chao Feng, Daniel Wang, Tianye Wang, Ziyao Zeng, Zhiyang Xu, Hyoungseob Park, Pengliang Ji, Hanbin Zhao, Yuanning Li, Alex Wong

CoRR, 2024

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

Qian Feng, Hanbin Zhao, Chao Zhang, Jiahua Dong, Henghui Ding, Yu-Gang Jiang, Hui Qian

CoRR, 2024

Neural Sinkhorn Gradient Flow.

Huminhao Zhu, Fangyikang Wang, Chao Zhang, Hanbin Zhao, Hui Qian

CoRR, 2024

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

Chenhao Zhou, Zebang Shen, Zhang Chao, Hanbin Zhao, Hui Qian

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

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

Fangyikang Wang, Hubery Yin, Yuejiang Dong, Huminhao Zhu, Zhang Chao, Hanbin Zhao, Hui Qian, Chen Li

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

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

Yikun Jiang, Huanyu Wang, Lei Xie, Hanbin Zhao, Zhang Chao, Hui Qian, John C. S. Lui

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

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

Jingqiao Xiu, Mengze Li, Wei Ji, Jingyuan Chen, Hanbin Zhao, Shin'ichi Satoh, Roger Zimmermann

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.

Longrong Yang, Hanbin Zhao, Yunlong Yu, Xiaodong Zeng, Xi Li

Proceedings of the Computer Vision - ECCV 2024, 2024

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

Boyang Wang, Fengyu Yang, Xihang Yu, Chao Zhang, Hanbin Zhao

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

2023

Elastic Knowledge Distillation by Learning From Recollection.

Yongjian Fu, Songyuan Li, Hanbin Zhao, Wenfu Wang, Weihao Fang, Yueting Zhuang, Zhijie Pan, Xi Li

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

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

Fangyikang Wang, Huminhao Zhu, Chao Zhang, Hanbin Zhao, Hui Qian

CoRR, 2023

2022

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

Hanbin Zhao, Hao Zeng, Xin Qin, Yongjian Fu, Hui Wang, Bourahla Omar, Xi Li

IEEE Trans. Neural Networks Learn. Syst., 2022

Memory-Efficient Class-Incremental Learning for Image Classification.

Hanbin Zhao, Hui Wang, Yongjian Fu, Fei Wu, Xi Li

IEEE Trans. Neural Networks Learn. Syst., 2022

Structure-conditioned adversarial learning for unsupervised domain adaptation.

Hui Wang, Jian Tian, Songyuan Li, Hanbin Zhao, Fei Wu, Xi Li

Neurocomputing, 2022

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

Xin Qin, Hanbin Zhao, Guangchen Lin, Hao Zeng, Songcen Xu, Xi Li

Neurocomputing, 2022

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

Xintian Wu, Hanbin Zhao, Liangli Zheng, Shouhong Ding, Xi Li

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.

Hanbin Zhao, Fengyu Yang, Xinghe Fu, Xi Li

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Progressive Class-Based Expansion Learning for Image Classification.

Hui Wang, Hanbin Zhao, Xi Li

IEEE Signal Process. Lett., 2021

When Video Classification Meets Incremental Classes.

Hanbin Zhao, Xin Qin, Shihao Su, Zibo Lin, Xi Li

CoRR, 2021

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

Hui Wang, Jian Tian, Songyuan Li, Hanbin Zhao, Qi Tian, Fei Wu, Xi Li

CoRR, 2021

When Video Classification Meets Incremental Classes.

Hanbin Zhao, Xin Qin, Shihao Su, Yongjian Fu, Zibo Lin, Xi Li

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.

Hanbin Zhao, Hao Zeng, Xin Qin, Yongjian Fu, Hui Wang, Bourahla Omar, Xi Li

CoRR, 2020

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

Hanbin Zhao, Yongjian Fu, Xuewei Li, Songyuan Li, Bourahla Omar, Xi Li

CoRR, 2020

Epoch-evolving Gaussian Process Guided Learning.

Jiabao Cui, Xuewei Li, Bin Li, Hanbin Zhao, Bourahla Omar, Xi Li

CoRR, 2020

2018

Progressive Blockwise Knowledge Distillation for Neural Network Acceleration.

Hui Wang, Hanbin Zhao, Xi Li, Xu Tan

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).

Hanbin Zhao, Ziyi Zhao, Jianghai Zhao, Yu Wang

计算机科学, 2017