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)

Progressive Blockwise Knowledge Distillation for Neural Network Acceleration. - Hui Wang 107; Hanbin Zhao; Xi Li 001; Xu Tan 003 (IJCAI, 2018)

Epoch-evolving Gaussian Process Guided Learning. - Jiabao Cui; Xuewei Li 003; Bin Li 038; Hanbin Zhao; Bourahla Omar; Xi Li 001 (CoRR, 2020)

Few-Shot Class-Incremental Learning via Feature Space Composition. - Hanbin Zhao; Yongjian Fu 002; Xuewei Li 003; Songyuan Li; Bourahla Omar; Xi Li 001 (CoRR, 2020)

What and Where: Learn to Plug Adapters via NAS for Multi-Domain Learning. - Hanbin Zhao; Hao Zeng; Xin Qin; Yongjian Fu 002; Hui Wang 107; Bourahla Omar; Xi Li 001 (CoRR, 2020)

When Video Classification Meets Incremental Classes. - Hanbin Zhao; Xin Qin; Shihao Su; Yongjian Fu 002; Zibo Lin; Xi Li 001 (ACM Multimedia, 2021)

Unsupervised Domain Adaptation for Image Classification via Structure-Conditioned Adversarial Learning. - Hui Wang 107; Jian Tian; Songyuan Li; Hanbin Zhao; Qi Tian 001; Fei Wu 001; Xi Li 001 (CoRR, 2021)

When Video Classification Meets Incremental Classes. - Hanbin Zhao; Xin Qin; Shihao Su; Zibo Lin; Xi Li 001 (CoRR, 2021)

Progressive Class-Based Expansion Learning for Image Classification. - Hui Wang 107; Hanbin Zhao; Xi Li 001 (IEEE Signal Process. Lett., 2021)

RBC: Rectifying the Biased Context in Continual Semantic Segmentation. - Hanbin Zhao; Fengyu Yang; Xinghe Fu; Xi Li 001 (ECCV (34), 2022)

Adma-GAN: Attribute-Driven Memory Augmented GANs for Text-to-Image Generation. - Xintian Wu; Hanbin Zhao; Liangli Zheng; Shouhong Ding; Xi Li 001 (ACM Multimedia, 2022)

PcmNet: Position-sensitive context modeling network for temporal action localization. - Xin Qin; Hanbin Zhao; Guangchen Lin; Hao Zeng; Songcen Xu; Xi Li 001 (Neurocomputing, 2022)

Structure-conditioned adversarial learning for unsupervised domain adaptation. - Hui Wang 107; Jian Tian; Songyuan Li; Hanbin Zhao; Fei Wu 001; Xi Li 001 (Neurocomputing, 2022)

Memory-Efficient Class-Incremental Learning for Image Classification. - Hanbin Zhao; Hui Wang 107; Yongjian Fu 002; Fei Wu 001; Xi Li 001 (IEEE Trans. Neural Networks Learn. Syst., 2022)

What and Where: Learn to Plug Adapters via NAS for Multidomain Learning. - Hanbin Zhao; Hao Zeng; Xin Qin; Yongjian Fu 002; Hui Wang 107; Bourahla Omar; Xi Li 001 (IEEE Trans. Neural Networks Learn. Syst., 2022)

GAD-PVI: A General Accelerated Dynamic-Weight Particle-Based Variational Inference Framework. - Fangyikang Wang; Huminhao Zhu; Chao Zhang 029; Hanbin Zhao; Hui Qian 001 (CoRR, 2023)

Elastic Knowledge Distillation by Learning From Recollection. - Yongjian Fu 002; Songyuan Li; Hanbin Zhao; Wenfu Wang; Weihao Fang; Yueting Zhuang; Zhijie Pan; Xi Li 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

APISR: Anime Production Inspired Real-World Anime Super-Resolution. - Boyang Wang; Fengyu Yang; Xihang Yu; Chao Zhang; Hanbin Zhao (CVPR, 2024)

RCS-Prompt: Learning Prompt to Rearrange Class Space for Prompt-Based Continual Learning. - Longrong Yang; Hanbin Zhao; Yunlong Yu; Xiaodong Zeng; Xi Li 001 (ECCV (47), 2024)

Hierarchical Debiasing and Noisy Correction for Cross-domain Video Tube Retrieval. - Jingqiao Xiu; Mengze Li 001; Wei Ji 008; Jingyuan Chen; Hanbin Zhao; Shin'ichi Satoh 001; Roger Zimmermann (ACM Multimedia, 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 001; John C. S. Lui (NeurIPS, 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 001; Chen Li (NeurIPS, 2024)

Solving Zero-Sum Markov Games with Continuous State via Spectral Dynamic Embedding. - Chenhao Zhou 003; Zebang Shen; Zhang Chao; Hanbin Zhao; Hui Qian 001 (NeurIPS, 2024)

Neural Sinkhorn Gradient Flow. - Huminhao Zhu; Fangyikang Wang; Chao Zhang 029; Hanbin Zhao; Hui Qian 001 (CoRR, 2024)

PECTP: Parameter-Efficient Cross-Task Prompts for Incremental Vision Transformer. - Qian Feng; Hanbin Zhao; Chao Zhang 001; Jiahua Dong 001; Henghui Ding; Yu-Gang Jiang 001; Hui Qian 001 (CoRR, 2024)

NeuroBind: Towards Unified Multimodal Representations for Neural Signals. - Fengyu Yang; Chao Feng; Daniel Wang 005; Tianye Wang; Ziyao Zeng; Zhiyang Xu; Hyoungseob Park; Pengliang Ji; Hanbin Zhao; Yuanning Li; Alex Wong 001 (CoRR, 2024)

DriveDiTFit: Fine-tuning Diffusion Transformers for Autonomous Driving. - Jiahang Tu; Wei Ji 008; Hanbin Zhao; Chao Zhang 014; Roger Zimmermann; Hui Qian 001 (CoRR, 2024)

LW2G: Learning Whether to Grow for Prompt-based Continual Learning. - Qian Feng; Dawei Zhou 001; Hanbin Zhao; Chao Zhang 001; Hui Qian 001 (CoRR, 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 001; Chen Li (CoRR, 2024)

Epoch-Evolving Gaussian Process Guided Learning for Classification. - Jiabao Cui; Xuewei Li 003; Hanbin Zhao; Hui Wang 107; Bin Li 038; Xi Li 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

MgSvF: Multi-Grained Slow versus Fast Framework for Few-Shot Class-Incremental Learning. - Hanbin Zhao; Yongjian Fu 002; Mintong Kang; Qi Tian 001; Fei Wu 001; Xi Li 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Unsupervised Domain Adaptation With Class-Aware Memory Alignment. - Hui Wang 107; Liangli Zheng; Hanbin Zhao; Shijian Li; Xi Li 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

GAD-PVI: A General Accelerated Dynamic-Weight Particle-Based Variational Inference Framework. - Fangyikang Wang; Huminhao Zhu; Chao Zhang; Hanbin Zhao; Hui Qian 001 (Entropy, 2024)

MOS: Model Surgery for Pre-Trained Model-Based Class-Incremental Learning. - Hai-Long Sun; Da-Wei Zhou 001; Hanbin Zhao; Le Gan; De-Chuan Zhan; Han-Jia Ye (AAAI, 2025)

TextToucher: Fine-Grained Text-to-Touch Generation. - Jiahang Tu; Hao Fu; Fengyu Yang; Hanbin Zhao; Chao Zhang; Hui Qian 001 (AAAI, 2025)

GCSTG: Generating Class-Confusion-Aware Samples With a Tree-Structure Graph for Few-Shot Object Detection. - Longrong Yang; Hanbin Zhao; Hongliang Li 001; Liang Qiao 001; Ziwei Yang; Xi Li 001 (IEEE Trans. Image Process., 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 001; Hanbin Zhao; Chao Zhang 001; Hui Qian 001 (CoRR, 2025)

TAIL: Text-Audio Incremental Learning. - Yingfei Sun; Xu Gu; Wei Ji 008; Hanbin Zhao; Hao Fei 001; Yifang Yin; Roger Zimmermann (CoRR, 2025)

IAP: Improving Continual Learning of Vision-Language Models via Instance-Aware Prompting. - Hao Fu; Hanbin Zhao; Jiahua Dong 001; Chao Zhang 001; Hui Qian 001 (CoRR, 2025)

DriveDiTFit: Fine-tuning Diffusion Transformers for Autonomous Driving Data Generation. - Jiahang Tu; Wei Ji 008; Hanbin Zhao; Chao Zhang 029; Roger Zimmermann; Hui Qian 001 (ACM Trans. Multim. Comput. Commun. Appl., 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 001; Chen Li (CoRR, 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 001; Chen Li (CoRR, 2025)