目录
硕士报考志愿采集    更新日期:2024年4月17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年江苏省优秀硕士论文指导教师。

社会、学会及学术兼职

任职多个期刊审稿人,包括IEEE TPAMI, TNNLS, TIP, TKDE, TII, TIE, TMM, TITS, TETCI, IJCV, KBS, SPL, PR, INS, PRL, NEUCOM, APIN,自动化学报,电子学报等,以及NeurIPS, CVPR, ICCV, ECCV, AAAI, IJCAI等会议的审稿人。PLoS ONE的Academic Editor.

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:

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:

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

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. (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

授权专利10项。

[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8人获国家奖学金,1人获江苏省优秀硕士学位论文。目前在读硕士研究生7人,博士生3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,中兴)

2020: 陈督兵(优秀毕业生代表,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,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,李苏意,徐元伍,石羽妍

2023:江宸逸(博),李春明(博),卞雨玮,蒋建超,武文君

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。