1979 年7 月出生，2002 年清华大学电子工程系专业本科毕业，2007年英国南安普敦大学电子与计算机工程系博士毕业，博士期间的研究方向是人脸识别和说话人识别的融合算法。 2007-2009 年在比利时鲁汶大学通信与遥感实验室从事博士后研究工作，研究方向为三维网格数字水印。2009 年12 月起为浙江大学信息与电子工程学院讲师，2013年晋升副教授，2015年起担任信息与通信工程系副系主任。目前主要研究方向为计算机视觉、机器学习、深度网络模型压缩和加速等。在国际顶级期刊和会议上发表论文50多篇，包括TIP, PR, AAAI, CVPR等（‪Haoji Hu‬ - ‪Google 学术搜索‬），主持多项国家和省级科研项目。他的机器学习视频课程在BILIBILI网站上获得超过15万点击量。

图像分割、跟踪和识别 生物特征识别（人脸识别和声纹识别） 深度学习的理论和应用 深度神经网络的压缩和加速 医学图像处理

2025 Jiedong Zhuang, Lu Lu, Ming Dai, Rui Hu, Jian Chen, Qiang Liu, Haoji Hu, ST3: Accelerating Multimodal Large Language Model by Spatial-Temporal Visual Token Trimming, in the AAAI Conference on Artificial Intelligence, AAAI2025, pp. 1-10, 2025. Xianwei Zhuang, Hualiang Wang, Xiaoxuan He, Siming Fu, Haoji Hu, SemiGMMPoint: Semi-Supervised Point Cloud Segmentation based on Gaussian Mixture Models, Pattern Recognition, volume 156, pp. 1-14, 2025. 2024 Mudassar Ali, Tong Wu, Haoji Hu, Qiong Luo, Dong Xu, Weizeng Zheng, Neng Jin, Chen Yang, Jincao Yao, A Review of the Segmentation Anything Model (SAM) for Medical Image Analysis, Computerized Medical Image Graphics, volume 102473, pp. 1-41, 2024. Mudassar Ali, Tong Wu, Haoji Hu, Segmentation of MRI Tumor and Pelvic Anatomy via cGAN-Synthesized Data and Attention-Enhanced U-Net, Pattern Recognition Letters, pp. 1-11, 2024. Mudassar Ali, Tong Wu, Haoji Hu, Tariq Mahmood, Breast Tumor Segmentation Using Neural Cellular Automata and Shape Guided Segmentation in Mammography Images, PloS One, 19(10), pp. 1-26, 2024. Yuanbo Ye, Houkui Zhou, Huimin Yu, Haoji Hu, Guangqun Zhang, Junguo Hu, Tao He, Application of Tswin-F Network Based on Multi-Scale Feature Fusion in Tomato Leaf Lesion Recognition, Pattern Recognition, volumn 156, pp. 1-17, 2024. Jiedong Zhuang, Jiaqi Hu, Lianrui Mu, Rui Hu, Xiaoyu Liang, Jiangnan Ye, Haoji Hu, FALIP: Visual Prompt as Foveal Attention Boosts CLIP Zero-Shot Performance, in the European Conference on Computer Vision, ECCV2024, pp. 1-18, 2024. Xiaoxuan He, Yifan Yang, Xinyang Jiang, Xufang Luo, Haoji Hu, Siyun Zhao, Dongsheng Li, Yuqing YAng, Lili Qiu, Unified Medical Image Pre-training in Language-Guided Common Semantic Space, in the European Conference on Computer Vision, ECCV2024, pp. 1-18, 2024. Changlong Li, Jiedong Zhuang, Jiaqi Hu, Haoji Hu, Zero-Shot Referring Image Segmentation with Hierarchical Prompts and Frequency Domain Fusion, in the Pacific Rim International Conference on Artificial Intelligence, PRICAI2024, pp. 1-10, 2024. Yuchen Yang, Lianrui Mu, Jiedong Zhuang, Xiaoyu Liang, Jiangnan Ye, Haoji Hu, Data-free Quantization of Vision Transformeers through Perturbation-Aware Image Synthesis, in the Pacific Rim International Conference on Artificial Intelligence, PRICAI2024, pp. 1-10, 2024. Jiangnan Ye, Taoqi Bao, Lianrui Mu, Yuchen Yang, Jiedong Zhuang, Xiaoyu Liang, Jiayi Xu, Haoji Hu, Trans-DONeRF for Transparent Object Redering with Mixedd Depth Prior, in the Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2024, pp. 1-14, 2024. Xiaoyu Liang, Jiayuan Yu, Lianrui Mu, Jiaqi Hu, Yuchen Yang, Jiangnan Ye, Lu Lu, Jian Chen,Haoji Hu, Mitigating Hallucination in Visual-Language Models via Re-Balancing Contrastive Decoding, in the Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2024, pp. 1-14, 2024. Jiaqi Hu, Xiaoyu Liang, Dayong Wang, Lu Yu, Haoji Hu, Perceptual Image Compression with Text-Guided Multi-Level Fusion, in the Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2024, pp. 1-14, 2024. Jianhong Bai, Yuchen Yang, Huanpeng Chu, Hualiang Wang, Zuozhu Liu, Ruizhe Chen, Xiaoxuan He, Lianrui Mu, Chengfei Cai, Haoji Hu, Robustness-Guided Image Synthesis for Data-Free Quantization, in the AAAI Conference on Artificial Intelligence, AAAI2024, pp. 1-15, 2024. 吴瞳、胡浩基、冯洋、罗琼、徐栋、郑伟增、金能、杨琛、姚劲草，分割一切模型（SAM）在医学图像分割中的应用，中国激光，51(21), pp. 1-16, 2024. 2023 Tian Ni, Yuchen Cao, Xiaoyu Liang, Haoji Hu, Repdistiller: Knowledge Distillation Scaled by Re-parameterization for Crowd Counting, The 6th Chinese Conference on Pattern Recognition and Computer Vision, PRCV2023, Xiamen, China, pp. 1-12, 2023. Jingjing Hou, Houkui Zhou, Junguo Hu, Huimin Yu, Haoji Hu, A Multi-Scale Convolution and Multi-Layer Fusion Network for Remote Sensing Forest Tree Species Recognition, Remote Sensing, vol. 15, no. 4732, pp. 1-18, 2023. Jianhong Bai, Zuozhu Liu, Hualiang Wang, Ruizhe Chen, Lianrui Mu, Xiaomeng Li, Joey Tianyi Zhou, Yang Feng, Jian Wu, Haoji Hu, Towards Distribution-Agnostic Generalized Category Discovery, in the Thirty-seventh Conference on Neural Information Processing Systems, NeurIPS2023, New Orleans, USA, pp. 1-14, 2023. Yuchen Cao, Siming Fu, Xiaoxuan He, Haoji Hu, Hangxiang Fang, Lu Yu, Video Surveillance on Mobile Edge Networks: Exploiting Multi-Exit Network, in the IEEE International Conference on Communications, ICC2023, Rome, Italy, pp. 1-6, 2023. Jianhong Bai, Zuozhu Liu, Hualiang Wang, Jin Hao, Yang Feng, Huapeng Chu, Haoji Hu, On the Effectiveness of Out-of-Distribution Data in Self-Supervised Long-Tail Learning, in the International Conference on Learning Representations, ICLR2023, Kigali, Rwanda, pp. 1-19, 2023. Tian Ni, Haoji Hu, Knowleddge Distillation by Multiple Student Instance Interaction, In the International Conference on Pattern Recognition, Machine Vision and Intelligent Algorithms, PRMVIA2023, pp. 193-200, 2023. Siming Fu, Hualiang Wang, Haoji Hu, Xiaoxuan He, Yongwen Long, Yangtao Ou, Yuanjia Huang, Mengqiu Zhou, Class Semantic Enhancement Network for Semantic Segmentation, Journal of Visual Communication and Image Representation, vol. 96, no. 103924, pp. 1-10, 2023. Hangxiang Fang, Yongwen Long, Xinyi Hu, Yangtao Ou, Yuanjia Huang, Haoji Hu, Dual Cross Knowledge Distillation for Image Super-resolution, Journal of Visual Communication and Image Representation, vol. 95, no. 103858, pp. 1-13, 2023. Xinyi Hu, Hangxiang Fang, Ling Zhang, Xue Zhang, Howard H. Yang, Dongxiao Yang, Bo Peng, Zheyang Li, Haoji Hu, Dynamic Connection Pruning for Densely Connected Convolutional Neural Networks, Applied Intelligence, pp. 1-17, 2023. Siming Fu, Huapeng Chu, Lu Yu, Bo Peng, Zheyang Li, Wenming Tan, Haoji Hu, AuxBranch: Binarization Residual-Aware Network Design via Auxiliary Branch Search, Pattern Recognition, vol. 136, no. 109263, pp. 1-10, 2023. Zuozhu Liu, Xiaoxuan He, Hualiang Wang, Huimin Xiong, Yan Zhang, Gaoang Wang, Jin Hao, Yang Feng, Fudong Zhu, Haoji Hu, Hierarchical Self-supervised Learning for 3D Tooth Segmentation in Intra-oral Mesh Scans, IEEE Transactions on Medical Imaging, vol. 42, no. 2, pp.467-480, 2023. 闻宏强、宣峰、黄煜、王欢、曹宇辰、胡浩基，基于视觉的无人机入侵检测系统综述，保密科学与技术，2023年6月，pp. 41-46,2023。 2022 Hualiang Wang, Siming Fu, Xiaoxuan He, Hangxiang Fang, Zuozhu Liu, Haoji Hu, Towards Calibrated Hyper-sphere Representation via Distribution Overlap Coefficient for Long-tailed Learning, in the European Conference on Computer Vision, ECCV2022, Tel Aviv, Israel, pp. 1-18, 2022 (Oral presentation, 2.7% acceptance rate). Hualiang Wang, Huanpeng Chu, Siming Fu, Zuozhu Liu, Haoji Hu, Renovate Yourself: Calibrating Feature Representation of Misclassified Pixels for Semantic Segmentation, in the AAAI Conference on Artificial Intelligence, AAAI2022, vol. 36, no. 3, pp. 2450-2458, 2022. Xiner Zhu, Haoji Hu, Hualiang Wang, Jincao Yao, Wei Li, Di Ou, Dong Xu, Region Aware Transformer for Automatic Breast Ultrasound Tumor Segmentation, in Medical Imaging with Deep Learning, MIDL2022, Zürich, Switzerland, pp. 1-15, 2022. Xiaoxuan He, Hualiang Wang, Haoji Hu, Jianfei Yang, Yang Feng, Gaoang Wang, Zuozhu Liu, Unsupervised Pre-training Improves Tooth Segmentation in 3-Dimensional Intraoral Mesh Scans, in Medical Imaging with Deep Learning, MIDL2022, Zürich, Switzerland, pp. 1-15, 2022. Kai Zhang, Zheyang Li, Haoji Hu, Bin Li, Wenming Tan, Haixian Lu, Jun Xiao , Ye Ren, Shiliang Pu, Dynamic Feature Pyramid Networks for Detection, in the International Conference Multimedia and Expo, ICME2022, Taipei, China, pp. 1-6, 2022. Chen Lin, Zheyang Li, Bo Peng, Haoji Hu, Weiming Tian, Ye Ren, Shiliang Pu, UWC: Unit-wise Calibration Towards Rapid Network Compression, in British Machine Vision Conference, BMVC2021, London, UK, pp. 1-13, 2022. Xiner Zhu, Yichao Wu, Haoji Hu, Xianwei Zhuang, Jincao Yao, Di Ou, Wei Li, Mei Song, Na Feng and Dong Xu, Medical Lesion Segmentation by Combining Multimodal Images with Modality Weighted UNet, Medical Physics, vol. 2022, pp. 1-13, 2022. Siming Fu, Huanpeng Chu, Hualiang Wang, Zhenyu Yang, Haoji Hu, Meta-Prototype Decoupled Training for Long-Tailed Learning, in the Asian Conferene on Computer Vision, ACCV2022, Macao, China, pp. 569-585, 2022. Siming Fu, Hualiang Wang, Yuchen Cao, Haoji Hu, Bo Peng, Wenming Tan, Tingqun Ye, Meta-BNS for Adversarial Data-Free Quantization, in the International Conference on Image Processing, ICIP2022, Bordeaux, France, pp. 4038-4042, 2022. Xianwei Zhuang, Xiner Zhu, Haoji Hu, Jincao Yao, Wei Li, Chen Yang, Liping Wang, Na Feng, Dong Xu, Residual Swin Transformer UNet Consistency Regularization for Automatic Breast Ultrasound Tumor Segmentation, in the International Conference on Image Processing, ICIP2022, Bordeaux, France, pp. 3071-3075, 2022. Siming Fu, Tian Ni, Haoji Hu, Baseline-Auxiliary Network Architecture Design Scheme to Compensate for Binarization Residual Errors, in the 6th International Conference on Video and Image Processing, ICVIP2022, pp. 1-10, 2022. Xinyi Hu, Yuxin Zhang, Haoji Hu, Convolutional Neural Netowor Design for Single Image Super-Resolution, in the International Conference on Image, Vision and Intelligent Systems, ICIVIS2022, pp. 155-163, 2022. Jian Xiao, Peng Liu, Huaming Lin, Hangxiang Fang, Jiayi Xu, Hangguan Shan, Haoji Hu, Yi Huang, Huijuan Lu, Blockchain and UAV-Enabled Signal Source Identification with Edge Computing and Wireless Signal-Aerial Image Fusion, Wireless Communication and Mobile Conputing, vol. 2022, no. 4009078, pp. 1-13, 2022. Yuanbo Ye, Houkui Zhou, Huimin Yu, Haoji Hu, Guangquan Zhang, Junguo Hu, An Improved EfficientNetV2 Model Based on Visual Attention Mechanism: Application to Identification of Cassava Disease, Computational Intelligence and Neuroscience, Volume 2022, Issue 1, pp. 1-16, 2023. Xuecheng Wu, Houkui Zhou, Huimin Yu, Haoji (Roland) Hu, Guangqun Zhang, Junguo Hu, Tao He, A method for Medical Microsopic Image's Sharpness Evaluation Based on NSST and Variance by Combining Time and Frenquency Domains, Sensors, vol. 22, no. 7607, pp. 1-17, 2022. Bosheng Qin, Haoji Hu, Yueting Zhuang, Deep Residual Weight-Sharing Attention Network with Low-rank Attention for Visual Question Answering, IEEE Transactions on Multimedia, vol. 14, no. 8, pp. 1-15, 2022. 2021 Huanpeng Chu, Jilin Tang, Haoji Hu, Attention Guided Feature Pyramid Network for Crowd Counting, Journal of Visual Communication and Image Representation, vol. 80, no. 103319, pp. 1-9, 2021. Kunpeng Yang, Hangguan Shan, Tengxu Sun, Haoji (Roland) Hu, Yingxiao Wu, Lu Yu, Zhaoyang Zhang, Tony Q. S. Quek, Reinforcement Learning-based Mobile Edge Computing and Transmission Scheduling for Video Surveillance, IEEE Transactions on Emerging Topics in Computing, vol. 10, no. 2, pp. 1142-1156, 2021. Jin Hao, Wen Liao, Yueling Zhang, Peilin Li, Jianru Yi, Jerry Peng, Zeu Zhao, Zhang Chen, Wenxuan Shi, Tingyu Chen, Bowen Zhou, Yang Feng, Bing Fang, Haoji Hu, Howard Yang, Erping Li, Zuozhu Liu, Zhihe Zhao, Clinically applicable system for 3D teeth segmentation in intraoral scans using deep learning, Journal of Dental Research, pp. 1-22, 2021. Shuhao Chen, Ke Jiang, Haoji Hu, Haoze Kuang, Jianyi Yang, Jikui Luo, Xinhua Chen, Yubo Li, Emotion Recognition Based on Skin Potential Signals with a Portable Wireless Device, Sensors, vol. 21, no. 3, pp. 1-19, 2021. Qiu Huang, Yuxin Zhang, Haoji (Roland) Hu, Yongdong Zhu, Zhifeng Zhao, Binarizing Super-Resolution Network by Pixel-Correlation Knowledge Distillation, in the International Conference on Image Processing, ICIP2021, Anchorage, USA, pp. 1814-1818, 2021. 2020 Huan Wang, Xinyi Hu, Qimin Zhang, Yuehai Wang, Lu Yu, Haoji Hu, Structured Pruning for Efficient Convolutional Neural Networks via Incremental Regularization, IEEE Journal of Selected Topics in Signal Processing, vol. 14, no. 4, pp. 775-788, 2020. Haoji (Roland) Hu, Hangguan Shan, Chuankun Wang, Tengxu Sun, Xiaojian Zeng, Lu Yu, Zhaoyang Zhang, Tony Q. S. Quek, Video surveillance on mobile edge networks – A reinforcement learning approach, IEEE Internet of Things Journal, vol. 7, no. 6, pp. 4746-4760, 2020. Shuzhao Li, Huimin Yu, Haoji (Roland) Hu, Attributes-aided part detection and refinement for person re-identification, Pattern Recognition, vol. 97, no. 107016, pp. 1-10, 2020. Bianjiang Yang, Zi Hui, Haoji (Roland) Hu, Xinyi Hu, Lu Yu, Compressing Facial Makeup Transfer Network by Collaborative Distillation and Kernel Decomposition, in the IEEE International Conference on Visual Communications and Image Processing, VCIP 2020, pp. 46-49, 2020. Huan Wang, Yijun Li, Yuehai Wang, Haoji (Roland) Hu, Ming-Hsuan Yang, Collaborative Distillation for Ultra-Resolution Universal Style Transfer, in the IEEE International Conference on Computer Vision and Pattern Recognition, CVPR2020, pp. 1860-1869, 2020. Shuzhao Li, Haoji (Roland) Hu, Huimin Yu, Appearance and Motion Enhancement for Video-based Person Re-identification, in the AAAI Conference on Artificial Intelligence, AAAI2020, New York, USA, vol. 34, no. 7, pp. 11394-11401, 2020. Daowen Li, Zhihao Zhang, Kaitian Qiu,Yaqing Pan, Yingming Li, Haoji (Roland) Hu, Lu Yu, Affine Deformation Model Based Intra Block Copy for Intra Frame Coding, in the IEEE International Symposium on Circuits and Systems, ISCAS2020, pp. 1-5, 2020. Yushu Feng, Huan Wang, Haoji (Roland) Hu, Lu Yu, Wei Wang, Shiyan Wang, Triplet Distillation for Deep Face Recognition, in the International Conference on Image Processing, ICIP2020, pp. 808-812, 2020.