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Hanbin Zhao
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2020 – today
- 2024
- [j11]Fangyikang Wang, Huminhao Zhu, Chao Zhang, Hanbin Zhao, Hui Qian:
GAD-PVI: A General Accelerated Dynamic-Weight Particle-Based Variational Inference Framework. Entropy 26(8): 679 (2024) - [j10]Hanbin Zhao, Yongjian Fu, Mintong Kang, Qi Tian, Fei Wu, Xi Li:
MgSvF: Multi-Grained Slow versus Fast Framework for Few-Shot Class-Incremental Learning. IEEE Trans. Pattern Anal. Mach. Intell. 46(3): 1576-1588 (2024) - [j9]Jiabao Cui, Xuewei Li, Hanbin Zhao, Hui Wang, Bin Li, Xi Li:
Epoch-Evolving Gaussian Process Guided Learning for Classification. IEEE Trans. Neural Networks Learn. Syst. 35(1): 326-337 (2024) - [j8]Hui Wang, Liangli Zheng, Hanbin Zhao, Shijian Li, Xi Li:
Unsupervised Domain Adaptation With Class-Aware Memory Alignment. IEEE Trans. Neural Networks Learn. Syst. 35(7): 9930-9942 (2024) - [c8]Fangyikang Wang, Huminhao Zhu, Chao Zhang, Hanbin Zhao, Hui Qian:
GAD-PVI: A General Accelerated Dynamic-Weight Particle-Based Variational Inference Framework. AAAI 2024: 15466-15473 - [c7]Boyang Wang, Fengyu Yang, Xihang Yu, Chao Zhang, Hanbin Zhao:
APISR: Anime Production Inspired Real-World Anime Super-Resolution. CVPR 2024: 25574-25584 - [c6]Longrong Yang, Hanbin Zhao, Yunlong Yu, Xiaodong Zeng, Xi Li:
RCS-Prompt: Learning Prompt to Rearrange Class Space for Prompt-Based Continual Learning. ECCV (47) 2024: 1-20 - [c5]Jingqiao Xiu, Mengze Li, Wei Ji, Jingyuan Chen, Hanbin Zhao, Shin'ichi Satoh, Roger Zimmermann:
Hierarchical Debiasing and Noisy Correction for Cross-domain Video Tube Retrieval. ACM Multimedia 2024: 9271-9280 - [i19]Huminhao Zhu, Fangyikang Wang, Chao Zhang, Hanbin Zhao, Hui Qian:
Neural Sinkhorn Gradient Flow. CoRR abs/2401.14069 (2024) - [i18]Boyang Wang, Fengyu Yang, Xihang Yu, Chao Zhang, Hanbin Zhao:
APISR: Anime Production Inspired Real-World Anime Super-Resolution. CoRR abs/2403.01598 (2024) - [i17]Qian Feng, Hanbin Zhao, Chao Zhang, Jiahua Dong, Henghui Ding, Yu-Gang Jiang, Hui Qian:
PECTP: Parameter-Efficient Cross-Task Prompts for Incremental Vision Transformer. CoRR abs/2407.03813 (2024) - [i16]Fengyu Yang, Chao Feng, Daniel Wang, Tianye Wang, Ziyao Zeng, Zhiyang Xu, Hyoungseob Park, Pengliang Ji, Hanbin Zhao, Yuanning Li, Alex Wong:
NeuroBind: Towards Unified Multimodal Representations for Neural Signals. CoRR abs/2407.14020 (2024) - [i15]Jiahang Tu, Wei Ji, Hanbin Zhao, Chao Zhang, Roger Zimmermann, Hui Qian:
DriveDiTFit: Fine-tuning Diffusion Transformers for Autonomous Driving. CoRR abs/2407.15661 (2024) - [i14]Jiahang Tu, Hao Fu, Fengyu Yang, Hanbin Zhao, Chao Zhang, Hui Qian:
TextToucher: Fine-Grained Text-to-Touch Generation. CoRR abs/2409.05427 (2024) - [i13]Qian Feng, Dawei Zhou, Hanbin Zhao, Chao Zhang, Hui Qian:
LW2G: Learning Whether to Grow for Prompt-based Continual Learning. CoRR abs/2409.18860 (2024) - [i12]Fangyikang Wang, Hubery Yin, Yuejiang Dong, Huminhao Zhu, Chao Zhang, Hanbin Zhao, Hui Qian, Chen Li:
BELM: Bidirectional Explicit Linear Multi-step Sampler for Exact Inversion in Diffusion Models. CoRR abs/2410.07273 (2024) - 2023
- [j7]Yongjian Fu, Songyuan Li, Hanbin Zhao, Wenfu Wang, Weihao Fang, Yueting Zhuang, Zhijie Pan, Xi Li:
Elastic Knowledge Distillation by Learning From Recollection. IEEE Trans. Neural Networks Learn. Syst. 34(5): 2647-2658 (2023) - [i11]Fangyikang Wang, Huminhao Zhu, Chao Zhang, Hanbin Zhao, Hui Qian:
GAD-PVI: A General Accelerated Dynamic-Weight Particle-Based Variational Inference Framework. CoRR abs/2312.16429 (2023) - 2022
- [j6]Hui Wang, Jian Tian, Songyuan Li, Hanbin Zhao, Fei Wu, Xi Li:
Structure-conditioned adversarial learning for unsupervised domain adaptation. Neurocomputing 497: 216-226 (2022) - [j5]Xin Qin, Hanbin Zhao, Guangchen Lin, Hao Zeng, Songcen Xu, Xi Li:
PcmNet: Position-sensitive context modeling network for temporal action localization. Neurocomputing 510: 48-58 (2022) - [j4]Hanbin Zhao, Hui Wang, Yongjian Fu, Fei Wu, Xi Li:
Memory-Efficient Class-Incremental Learning for Image Classification. IEEE Trans. Neural Networks Learn. Syst. 33(10): 5966-5977 (2022) - [j3]Hanbin Zhao, Hao Zeng, Xin Qin, Yongjian Fu, Hui Wang, Bourahla Omar, Xi Li:
What and Where: Learn to Plug Adapters via NAS for Multidomain Learning. IEEE Trans. Neural Networks Learn. Syst. 33(11): 6532-6544 (2022) - [c4]Hanbin Zhao, Fengyu Yang, Xinghe Fu, Xi Li:
RBC: Rectifying the Biased Context in Continual Semantic Segmentation. ECCV (34) 2022: 55-72 - [c3]Xintian Wu, Hanbin Zhao, Liangli Zheng, Shouhong Ding, Xi Li:
Adma-GAN: Attribute-Driven Memory Augmented GANs for Text-to-Image Generation. ACM Multimedia 2022: 1593-1602 - [i10]Hanbin Zhao, Fengyu Yang, Xinghe Fu, Xi Li:
RBC: Rectifying the Biased Context in Continual Semantic Segmentation. CoRR abs/2203.08404 (2022) - [i9]Xintian Wu, Hanbin Zhao, Liangli Zheng, Shouhong Ding, Xi Li:
Adma-GAN: Attribute-Driven Memory Augmented GANs for Text-to-Image Generation. CoRR abs/2209.14046 (2022) - 2021
- [j2]Hui Wang, Hanbin Zhao, Xi Li:
Progressive Class-Based Expansion Learning for Image Classification. IEEE Signal Process. Lett. 28: 1430-1434 (2021) - [c2]Hanbin Zhao, Xin Qin, Shihao Su, Yongjian Fu, Zibo Lin, Xi Li:
When Video Classification Meets Incremental Classes. ACM Multimedia 2021: 880-889 - [i8]Hui Wang, Jian Tian, Songyuan Li, Hanbin Zhao, Qi Tian, Fei Wu, Xi Li:
Unsupervised Domain Adaptation for Image Classification via Structure-Conditioned Adversarial Learning. CoRR abs/2103.02808 (2021) - [i7]Xin Qin, Hanbin Zhao, Guangchen Lin, Hao Zeng, Songcen Xu, Xi Li:
PcmNet: Position-Sensitive Context Modeling Network for Temporal Action Localization. CoRR abs/2103.05270 (2021) - [i6]Hui Wang, Hanbin Zhao, Xi Li:
Progressive Class-based Expansion Learning For Image Classification. CoRR abs/2106.14412 (2021) - [i5]Hanbin Zhao, Xin Qin, Shihao Su, Zibo Lin, Xi Li:
When Video Classification Meets Incremental Classes. CoRR abs/2106.15827 (2021) - 2020
- [i4]Jiabao Cui, Xuewei Li, Bin Li, Hanbin Zhao, Bourahla Omar, Xi Li:
Epoch-evolving Gaussian Process Guided Learning. CoRR abs/2006.14347 (2020) - [i3]Hanbin Zhao, Yongjian Fu, Xuewei Li, Songyuan Li, Bourahla Omar, Xi Li:
Few-Shot Class-Incremental Learning via Feature Space Composition. CoRR abs/2006.15524 (2020) - [i2]Hanbin Zhao, Hao Zeng, Xin Qin, Yongjian Fu, Hui Wang, Bourahla Omar, Xi Li:
What and Where: Learn to Plug Adapters via NAS for Multi-Domain Learning. CoRR abs/2007.12415 (2020) - [i1]Hanbin Zhao, Hui Wang, Yongjian Fu, Fei Wu, Xi Li:
Memory Efficient Class-Incremental Learning for Image Classification. CoRR abs/2008.01411 (2020)
2010 – 2019
- 2018
- [c1]Hui Wang, Hanbin Zhao, Xi Li, Xu Tan:
Progressive Blockwise Knowledge Distillation for Neural Network Acceleration. IJCAI 2018: 2769-2775 - 2017
- [j1]Hanbin Zhao, Ziyi Zhao, Jianghai Zhao, Yu Wang:
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). 计算机科学 44(Z6): 68-69 (2017)
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last updated on 2024-12-03 20:30 CET by the dblp team
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