目录
硕士报考志愿采集    更新日期:2025年3月15日
姓 名 张浩峰 性 别
出生年月 1983年10月 籍贯 淮阴
民 族 汉族 政治面貌 中国共产党党员
最后学历 博士研究生 最后学位 工学博士
技术职称 教授 导师类别 博士生导师
导师类型 校内 兼职导师
行政职务 系主任 Email zhanghf@njust.edu.cn
工作单位 智能科学与技术系 邮政编码 210094
通讯地址
单位电话
个人主页
指导学科
学科专业(主) 0812|计算机科学与技术 招生类别 博、硕士 所在学院 计算机科学与工程学院
研究方向

主要研究方向包括:智能机器人,机器学习 (深度学习),计算机视觉 ,图像处理等。

招收数学、电子、计算机、自动化等方面的博士研究生1名,硕士研究生3-4名,欢迎数学、英语及编程较好的同学报考。

学科专业(辅) 081104|模式识别与智能系统 招生类别 硕士 所在学院 计算机科学与工程学院
研究方向

主要研究方向包括:智能机器人,机器学习 (深度学习),计算机视觉 ,图像处理等。

招收数学、电子、计算机、自动化等方面的硕士研究生3-4名,欢迎数学,英语及编程较好的同学报考。

工作经历

2007-2011 南京理工大学 讲师

2011-2020 南京理工大学 副教授

2020-至今  南京理工大学  教授/博导

2016.12-2017.12  University of East Anglia  访问学者

教育经历

1999-2007   南京理工大学    学士、博士

获奖、荣誉称号

获省部级三等奖两项;

南京理工大学先进科技工作者;

南京理工大学优秀共产党员;

2021,2024年江苏省优秀硕士论文指导教师(共3篇);

第七期江苏省“333”三层次。

社会、学会及学术兼职

学术编辑:Image and Vision Computing; PLoS ONE;

审稿人:TPAMI, IJCV, TNNLS, TIP, TKDE, TII, TIE, TMM, TITS, TETCI, KBS, SPL, PR, INS, PRL, NEUCOM, APIN,自动化学报,电子学报等期刊,以及NeurIPS, CVPR, ICCV, ECCV, AAAI, IJCAI等会议。

科研项目

生成性零样本图像分类中的多样化特征合成方法研究--国家自然科学基金面上项目(主持)2024-2027

零样本学习中的特征属性及样本合成方法研究---国家自然科学基金面上项目(主持)2019-2022

面向复杂多视图图像的鲁棒判别距离度量协同学习研究---国家自然科学基金面上项目(合作单位负责人)2021-2024

基于多模型嵌入的复杂环境感知研究---国家自然科学基金青年基金 (主持)2012-2014

面向图像设别与检索的泛化零样本学习研究---江苏省自然科学基金面上项目(主持)2020-2023

 

发表论文

近期部分论文列表:

Journal:

54] Ziming Cheng, Jianqin Zhao, Jingjing Deng, Haofeng Zhang*. Few-shot Medical Image Segmentation with High-confidence Prior Mask. IEEE Journal of Biomedical and Health Informatics, 2025

53] Ziming Cheng, Shidong Wang, Yang Long, Tao Zhou, Haofeng Zhang*, Ling Shao. Dual Interspersion and Flexible Deployment for Few-shot Medical Image Segmentation. IEEE Transactions on Medical Imaging, 2025.

52] Chenyi Jiang, Jianqin Zhao, Jingjing Deng, Zechao Li, Haofeng Zhang*. Imbuing, Enrichment and Calibration: Leveraging Language for Unseen Domain Expansion. International Journal of Computer Vision, 2025. 

51] Jingren Liu, Ke Sun, Zheng Zhang, Yang Long, Wankou Yang, Yunyang Yan, Haofeng Zhang*. Synthesizing Spreading-out Features for Generative Zero-shot Image Classification. Engineering Applications of Artificial Intelligence, 2025. 

50] Chenchen Liang, Chenyi Jiang, Shidong Wang, Haofeng Zhang*. Learning to Calibrate Prototypes for Few-shot Image Classification. Cognitive Computation, 2025.

49] Suyi Li, Chenyi Jiang, Shidong Wang, Yang Long, Zheng Zhang, Haofeng Zhang*. Contextual Interaction via Primitive-based Adersarial Training for Compositional Zero-shot Learning. ACM Transactions on Multimedia Computing, Communications and Applications, 2025. 

48] Yuyan Shi, Chenyi Jiang, Feifan Song, Qiaolin Ye, Yang Long, Haofeng Zhang*. Multi-domain Feature-enhanced Attribute Updater for Generalized Zero-shot Learning. Neural Computing and Applications, 2025.

47] Ziming Cheng, Yazhou Zhu, Shidong Wang, Tong Xin, Haofeng Zhang*. Cascaded Alternating Refinement Transformer for Few-shot Medical Image Segmentation. ACM Transactions on Intelligent Systems and Technology, 2024.

46] Dexin Ren, Minxian Li, Shidong Wang, Mingwu Ren, Haofeng Zhang*. SAFENet: Semantic-Aware Feature Enhencement Network for Unsupervised Cross-domain Road Scene Segmentation. Image and Vision Computing, 2024.

45] Chenyi Jiang, Shidong Wang, Yang Long, Zechao Li, Haofeng Zhang*, Ling Shao. Imaginary-Connected Embedding in Complex Space for Unseen Attribute-Object Discrimination. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024.

44] Suyi Li, Chenyi Jiang, Qiaolin Ye, Shidong Wang, Wankou Yang, Haofeng Zhang*. Fusing Spatial and Frequency Features for Compositional Zero-shot Image Classification. Expert Systems with Applications, 2024.

43] Yazhou Zhu, Ziming Cheng, Shidong Wang, Haofeng Zhang*. Learning De-biased Prototypes for Few-shot Medical Image Segmentation. Pattern Recognition Letters, 2024.

42] Dexin Ren, Shidong Wang, Zheng Zhang, Wankou Yang, Mingwu Ren, Haofeng Zhang*. Unsupervised Cross Domain Semantic Segmentation with Mutual Refinement and Information Distillation. Neurocomputing, 2024.

41] Chenyi Jiang, Qiaolin Ye, Shidong Wang, Yuming Shen, Zheng Zhang, Haofeng Zhang*. Mutual Balancing in State-Object Components for Compositional Zero-shot Learning. Pattern Recognition, 2024.

40] Yazhou Zhu, Shidong Wang, Tong Xin, Zheng Zhang, Haofeng Zhang*. Patition-A-Medical-Image: Extracting Multiple Representative Sub-regions for Few-shot Medical Image Segmentation. IEEE Transactions on Instrumentation and Measurement, 2024.

39] Chenyi Jiang, Yuming Shen, Dubing Chen, Haofeng Zhang*, Ling Shao, Philip Torr. Estimation of Near-Instance-Level Attribute Bottleneck for Zero-shot Learning. International Journal of Computer Vision, 2024.

38] Ziming Cheng, Shidong Wang, Tong Xin, Tao Zhou, Haofeng Zhang*, Ling Shao. Few-shot Medical Image Segmentation via Generating Multiple Representative Descriptors. IEEE Transactions on Medical Imaging, 2024. 

37] Xiwen Bi, Dubing Chen, He Huang, Shidong Wang, Haofeng Zhang*. Combining Pixel-Level and Structure-Level Adaptation for Semantic Segmentation. Neural Processing Letters, 2023

36] Xiaojie Zhao, Yuming Shen, Shidong Wang, Haofeng Zhang*. Generating Diverse Augmented Attributes for Generalized Zero Shot Learning. Pattern Recognition Letters, 2023

35] Jie Zhang, Shengbin Liao, Haofeng Zhang*, Yang Long, Zheng Zhang, Li Liu. Data Driven Recurrent Adversarial Network for Generalized Zero Shot Image Classification. Information Sciences, 2023

34] Xiwen Bi, Xiaohong Zhang, Shidong Wang, Haofeng Zhang*. Entropy-weighted Reconstrution Adversary and Curriculum Pseudo Labeling for Domain Adaptation in Semantic Segmentation. Neurocomputing, 2022

33] Jie Zhang, Shengbin Liao, Haofeng Zhang*, Debao Chen. Category Expansion Based Generalized Zero-Shot Image Classification. ACTA ELECTRONICA SINICA (电子学报), 2022 (in Chinese)

32] Xiao Shen, Haofeng Zhang*, Lunbo Li, Wankou Yang, Li Liu. Semi-Supervised Cross-Modal Hashing with Multi-view Graph Representation. Information Sciences. 2022

31] Jingren Liu, Haoyue Bai, Haofeng Zhang*, Li Liu. Beyond Normal Distribution: More Factual Feature Generation Network for Generalized Zero-Shot Learning. IEEE Multimedia. 2022

30] Jingren Liu, Yi Chen, Huajun Liu, Haofeng Zhang*, Yudong Zhang. From Less to More: Progressive Generalized Zero-Shot Detection with Curriculumn Learning. IEEE Transactions on Intelligent Transportation Systems. 2022

29] Xiaohong Zhang, Yi Chen, Ziyi Shen, Yuming Shen, Haofeng Zhang*, Yudong Zhang. Confidence-and-Refinement Adaptation Model for Cross-Domain Semantic Segmentation. IEEE Transactions on Intelligent Transportation Systems. 2022

28] Jingren Liu, Liyong Fu, Haofeng Zhang*, Qiaolin Ye, Wankou Yang, Li Liu. Learning Discriminative and Representative Feature with Cascade GAN for Generalized Zero Shot Learning. Knowledge Based Systems. 2021

27] Zhifan Wang, Tong Xin, Shidong Wang, Haofeng Zhang*.  Depth-embedded Instance Segmentation Network for Urban Scene Parsing. Journal of Intelligent and Fuzzy Systems. 2021

26] Qipeng Chen, Haofeng Zhang*, Qiaolin Ye, Zheng Zhang, Wankou Yang. Learning Discriminative Feature via a Generic Auxiliary Distribution for Unsupervised Domain Adaptation. International Journal of Machine Learning and Cybernetics. 2021

25] Xiao Shen, Haofeng Zhang*, Lunbo Li, Zheng Zhang, Debao Chen, Li Liu. Clustering-driven Deep Adversarial Hashing for Scalable Unsupervised Cross-modal Retrieval. Neurocomputing. 2021

24] Haoyue Bai, Haofeng Zhang*, Qiong Wang. Dual Discriminative Auto-Encoder Network for Zero Shot Image Recognition. Journal of Intelligent and Fuzzy Systems. 2021

23] Haofeng Zhang, Haoyue Bai, Yang Long, Li Liu, Ling Shao. A Plug-in Attribute Correction Module for Generalized Zero-shot Learning. Pattern Recognition. 2020.

22] Haofeng Zhang, Yinduo Wang, Yang Long, Longzhi Yang, Ling Shao. Modality Independent Adversarial Network for Generalized Zero Shot Image Classification. Neural Networks. 2020.

21] Xiaohong Zhang, Yi Chen, Haofeng Zhang*, Shuihua Wang*, Jianfeng Lu, Jingyu Yang. When Visual Disparity Generation meets Semantic Segmentation: A Mutual Encouragement Approach. IEEE Transactions on Intelligent Transportation Systems. 2020.

20] Haofeng Zhang, Yifan Gu, Yazhou Yao, Zheng Zhang, Li Liu, Jian Zhang, Ling Shao. Deep Unsupervised Self-evolutionary Hashing for Image Retrieval. IEEE Transactions on Multimedia. 2020

19] Weiwei Wang, Haofeng Zhang*, Zheng Zhang, Li Liu, Ling Shao. Sparse Graph based Self-supervised Hashing for Scalable Image Retrieval. Information Sciences. 2020.

18] Weiwei Wang, Yuming Shen, Haofeng Zhang*, Li Liu. Semantic-Rebased Cross-Modal Hashing for Scalable Text-visual Retrieval. Information Processing and Management. 2020.

17] Haofeng Zhang, Jingren Liu, Yazhou Yao, Yang Long. Pseudo Distribution on Unseen Classes for Generalized Zero Shot Learning. Pattern Recognition Letters. 2020.

16] Haofeng Zhang, Li Liu, Yang Long, Zheng Zhang, Ling Shao. Deep Transductive Network for Generalized Zero Shot Learning. Pattern Recognition. 2020.

15] Shiyu Liu, Haofeng Zhang*, Ling Shao, Jingyu Yang. Built-in Depth-Semantic Coupled Encoding for Scene Parsing, Vehicle Detection and Road Segmentation. IEEE Transactions on Intelligent Transportation Systems. 2020.

14] Yinduo Wang, Haofeng Zhang*, Zheng Zhang, Yang Long, Ling Shao. Learning Discriminative Domain Invariant Prototypes for Generalized Zero Shot Learning. Knowledge-based Systems. 2020.

13] Yinduo Wang, Haofeng Zhang*, Shidong Wang, Yang Long, Longzhi Yang. Semantic Combined Network for Zero Shot Scene Parsing. IET Image Processing. 2019.

12] Haofeng Zhang, Huaqi Mao, Yang Long, Wankou Yang, Ling Shao. A Probabilistic Zero Shot Learning Method via Latent Nonnegative Prototype Synthesis of Unseen Classes. IEEE Transactions on Neural Networks and Learning Systems. 2019

11] Yifan Gu, Shidong Wang, Haofeng Zhang*, Yazhou Yao, Wankou Yang, Li Liu. Clustering-driven unsupervised deep hashing for image retrieval. Neurocomputing. 2019.

10] Yinduo Wang, Haofeng Zhang*, Zheng Zhang, Yang Long. Asymmetric Graph based Zero Shot Learning. Multimedia Tools and Application. 2019.

9] Yifan Gu, Haofeng Zhang*, Zheng Zhang, Qiaolin Ye. Unsupervised Deep Triplet Hashing with Pseudo Triplets for Scalable Image Retrieval. Multimedia Tools and Application. 2019.

8] Lingli Zhou, Haofeng Zhang*, Yang Long, Ling Shao, and Jingyu Yang. Depth Embedded Recurrent Predictive Parsing Network for Video Scenes. IEEE Transactions on Intelligent Transportation Systems. 2019.

7] Haofeng Zhang, Yang Long, Yu Guan, Ling Shao. Triple Verification Network for Generalised Zero-shot Learning. IEEE Transactions on Image Processing. 2019.

6] Haofeng Zhang, Yang Long, Wankou Yang, Ling Shao. Dual Verification Network for Zero-shot Learning. Information Sciences, 2019. 

5] Haofeng Zhang, Li Liu, Yang Long, Ling Shao, Unsupervised deep hashing with pseudo labels for scalable image retrieval, IEEE Transactions on Image Processing, 27 (4) (2018) 1626–1638. 

4] Haofeng Zhang, Yang Long, Ling Shao. Zero-shot hashing with orthogonal projection for image retrieval, Pattern Recognition Letters. 2018. 

3] Haofeng Zhang, Yang Long, Li Liu, Ling Shao. Adversarial Unseen Visual Feature Synthesis for Zero-shot LearningNeurocomputing. 2018 

2] Haofeng Zhang, Yang Long, Ling Shao. Zero-shot leaning and hashing with binary visual similes. Multimedia Tools and Application. 2018.

1] Haofeng Zhang, Yang Long, Chunxia Zhao. Attribute relaxation from class level to instance level for Zero-shot Learning. Electronics Letters, 2018.

 

Conference:

27] Yuntian Bo(本科生), Yazhou Zhu, Lunbo Li, Haofeng Zhang*. FAMNet: Frequency-aware Matching Network for Cross-domain Few-shot Medical Image Segmentation. AAAI, 2025.

26] Feifan Song(本科生), Ziming Cheng, Lunbo Li, Haofeng Zhang*. MTPNet: Learning Multiple Twin-support Prototypes for Few-shot Medical Image Segmentation. BIBM, 2024.

25] Yuyan Shi, Chenyi Jiang, Run Shi, Haofeng Zhang*. Do they Share the Same Tail? Learning Individual Compositional Attribute Prototype for Generalized Zero-shot Learning. ACCV, 2024. (Oral)

24] Ziming Cheng, Shidong Wang, Tong Xin, Haofeng Zhang*. Frequency-aware Adaptive Filtering Network for Few-shot Medical Image Segmentation. BIBM, 2024.

23] Dubing Chen, Chenyi Jiang, Haofeng Zhang*. Evolutionary Generalized Zero-shot Learning. IJCAI, 2024. (Long Oral)

22] Yuanwu Xu, Feifan Song, Haofeng Zhang*. Learning Spatial Similarity Distribution for Few-shot Object Counting. IJCAI, 2024.

21] Chenyi Jiang, Haofeng Zhang*. Revealing the Proximate Long-tail Distribution in Compositional Zero-shot Learning. AAAI, 2024. 

20] Jiaguo Yu, Yuming Shen, Haofeng Zhang*. Hashing One with All. ACM MM, 2023.

19] Yazhou Zhu, Shidong Wang, Tong Xin, Haofeng Zhang*. Few-Shot Medical Image Segmentation via a Region-enhanced Prototypical Transformer. MICCAI, 2023.

18] Dubing Chen, Yuming Shen, Haofeng Zhang*, Philip Torr. Deconstructed Generation-Based Zero-Shot Model. AAAI 2023.

17] Jiaguo Yu, Huming Qiu, Dubing Chen, Haofeng Zhang*. Weighted Contrastive Hashing. ACCV 2022.

16] Xiaojie Zhao, Shidong Wang, Haofeng Zhang*. Learning Internal Semantics with Expanded Categories for Generative Zero-shot Learning. ACCV 2022.

15] Yang Zhao, Jiaguo Yu, Shengbin Liao, Qiaolin Ye, Haofeng Zhang*. Class Concentration with Twin Variational Autoencoder for Unsupervised Cross-modal Retrieval. ACCV 2022.

14] Yang Zhao, Yazhou Zhu, Shengbin Liao, Zheng Zhang, Haofeng Zhang*. From Sparse to Dense: Semantic Graph Evolutionary Hashing for Unsupervised Cross-modal Retrieval. ACCV 2022.

13]  Dubing Chen, Yuming Shen, Haofeng Zhang*, Philip Torr. Zero Shot Logit Adjustment. IJCAI 2022.

12] Jiaguo Yu, Yuming Shen, Menghan Wang, Haofeng Zhang*, Philip Torr. Learning to Hash Naturally Sorts. IJCAI 2022. (Long Oral)

11] Xiaojie Zhao, Yuming Shen, Shidong Wang, Haofeng Zhang*. Boosting Generative Zero Shot Learning by Synthesizing Diverse Features with Attribute Augmentation. AAAI 2022.

10] Zhifan Wang, Xiaohong Zhang, Tong Xin, Shidong Wang, Haofeng Zhang*, Jianfeng Lu. Multi-scale Spatial Transformer Network for Lidar-Camera 3D Object Detection. IJCNN 2021.

9] Jingren Liu, Haoyue Bai, Haofeng Zhang*, Li Liu. Near Real Feature Generative Network for Generalized Zero Shot Learning. ICME 2021. (Oral)

8] Yang Zhao, Weiwei Wang, Haofeng Zhang*, Bingzhang Hu. Learning Homogeneous and Heterogeneous Co-Occurrences for Unsupervised Cross-Modal Retrieval. ICME 2021. (Oral)

7] Jie Zhang, Haofeng Zhang*, Bingzhang Hu. Dual Prototype Relaxation for Generalized Zero Shot Learning. ICME 2021.

6] Xiao Shen, Haofeng Zhang*, Lunbo Li, Li Liu. Attention Guided Semantic Hashing for Unsupervised Cross-Modal Retrieval. ICME 2021. 

5] Xiaohong Zhang, Haofeng Zhang*, Jianfeng Lu, Ling Shao, Jingyu Yang. Target-targeted Domain Adaptation for Unsupervised Semantic Segmentation. ICRA 2021. (Oral)

4] Weiwei Wang, Yuming Shen, Haofeng Zhang*, Yazhou Yao, Li Liu. Set and Rebase: Determining the Semantic Graph Connectivity for Unsupervised Cross-Modal Hashing. IJCAI 2020.

3] Huaqi Mao, Haofeng Zhang*, Shidong Wang, Yang Long, Longzhi Yang. A General Transductive Regularizer for Zero Shot Learning. BMVC 2019.

2] Shiyu Liu, Haofeng Zhang*ParallelNet: A Depth-guided Parallel Convolutional Network for Scene Segmentation. PRICAI, 2018. 

1] Lingli Zhou, Haofeng Zhang*3SP-Net: Semantic Segmentation Network with Stereo Image Pairs for Urban Scene Parsing. PRICAI, 2018. 

科研创新
授权发明专利13项。
 
[13] 宋菲凡(本科生),张浩峰。基于双注意力机制和多尺度融合的小样本医学图像分割方法。申请号:202410733380.3(已授权,2024)
 
[12] 宋菲凡(本科生),张浩峰。 基于文本语义引导的小样本医学图像分割方法。申请号:202410733385.6(已授权,2024) 
 
[11] 张浩峰,赵晓杰。一种基于置信度分布外检测的广义零样本学习分类方法。申请号:202110874153.9 (已授权,2024)
 
[10] 张浩峰,王伟伟。基于稀疏图结构的深度无监督图像检索方法。 发明专利,申请号:20191108323.8(已授权,2022) 
 
[9] 张浩峰,周玲莉,刘世钰。一种基于自编码特征学习的冬虫夏草检测方法。发明专利,申请号:2016112492947(已授权,2020)
 
[8] 张浩峰;单晨星;蔡云飞;朱凯。 基于低秩约束的光伏面板清洁度检测方法. 发明专利,申请号:201610899324.2 (已授权, 2019)
 
[7] 张浩峰;朱健声;董宏林;赵春霞;唐振民;朱凯。一种防脱落履带。发明专利,申请号:201210013294.2 (已授权,2014)
 
[6] 朱健声;张浩峰;董宏林;朱凯;赵春霞;唐振民。抗脱履带行走机构。发明专利,申请号:201210013293.8(已授权,2013)
 
[5] 赵春霞;张浩峰;李旻先;王超,等。基于切道行为检测的车辆驾驶状态评价方法。 发明专利,(已授权 2013.06)
 
[4] 赵春霞;张浩峰;任明武;唐振民;唐佐林;孙兴华;杨静宇。全天时结构化道路多行道线检测方法。申请号:200710192384.1 发明专利,(已授权 2011.08)
 
[3] 朱健声;董宏林;张浩峰;赵春霞;唐振民;朱凯。一种爬壁机器人的运动机构。申请号:201110221033.5 发明专利,(已授权 2013.03)
 
[2] 唐振民;孙兴华;赵春霞;郭志波;任明武;张浩峰;杨静宇。关键岗位职守人员状态监控与信息提示方法及其实现装置。申请号:200710192383.7  发明专利,(已授权 2010.11)
 
[1] 赵春霞;任明武;张浩峰;王超;李旻先,等。一种基于图像的车辆防撞预警方法。申请号:201110039667.9  发明专利,(已授权 2015.08)
教学活动

曾主讲过研究生课程:

《智能机器人系统与设计》《计算机视觉中的多视图几何》

本科生课程:

《离散数学》《C/C++》《数据结构》《机器智能》《人智能与机器人》《大学计算机》

指导学生情况

自2009年起开始指导硕士研究生,已指导毕业硕士研究生13届,其中10人获国家奖学金,3人获江苏省优秀硕士学位论文。目前在读硕士研究生8人,博士生4人。

2009: 李翔(中信银行)

2010: 李龙龙(中国电信)

2011: 李江祥(创业),郝运河(华为),陈峥嵘(中兴),於敏杰(海康)

2012: 姜佳轮(华为)

2013: 陈奇鹏(创业)

2014: 王泽运(华为)

2015: 单晨星(空军某研究所)

2016: 刘世钰(校优秀硕士论文,中国网安),周玲莉(校优秀硕士论文,江苏省农科院)

2017: 王胤多(国家奖学金,省优秀硕士论文,中电29所),顾一凡(国家奖学金,校优秀硕士论文,航天8511所),毛华奇(南栖仙策)

2018: 王伟伟(国家奖学金,优秀毕业生,校优秀硕士论文,华为),白皓月(农业银行),王智帆

2019: 张小红(国家奖学金,优秀毕业生,校优秀硕士论文南大博),刘景仁(北方工业奖,校优秀硕士论文天大博),赵阳(国家奖学金,优秀毕业生,航天二院),张杰(讯飞),沈笑(国家奖学金,优秀毕业生,校优秀硕士论文,中兴)

2020: 陈督兵(优秀毕业生代表,省优秀硕士论文,澳门大学博),赵晓杰(国家奖学金,优秀毕业生),毕曦文(优秀毕业生),余佳果(国家奖学金,省优秀硕士论文,优秀毕业生)

2021: 江宸逸(转博),梁辰晨(上海农行)

2022: 朱亚洲(博), 成梓铭(国家奖学金,华为),李苏意(转博),徐元伍(国家奖学金, 上海太能),石羽妍(华为)

2023:江宸逸(博),李春明(博),卞雨玮(转博),蒋建超,武文君

2024:施润,徐斌,钱禹,卞雨玮(博)

2025:硕士名额未满,还缺2-3人,博士已满。

我的团队

目前主要的研究方向有:

1、深度学习理论及计算机视觉应用;

2、智能机器人视觉导航算法;

3、多媒体数据检索与分类;

4、生物医学图像处理;

5、模式识别与机器学习理论。