Haigen Hu

Haigen Hu received the Ph.D. degree in Control theory and Control Engineering from Tongji University, Shanghai, China in 2013. He has come out from the post-doctoral station of LITIS Laboratory, University of Rouen Normandy, France in 2019. He is currently an associate professor in the College of Computer Science and Technology at Zhejiang University of Technology, China. His current research interests include deep learning, computer vision and medical image processing.

As a PI, he has been responsible for the general project of the NSFC, the sub-projects of the 863 project, the Natural Science Foundation of Zhejiang Province and many enterprise engineering projects. 

• 得同济大学控制理论与控制工程博士学位，2019年6月从法国鲁昂大学Laboratoire LITIS，Equipe Quantif博士后出站，现为浙江工业大学计算机科学与技术学院副教授，硕士生导师。主要从事医学图像处理、深度学习、图像分割与目标检测、多目标进化计算等方面的研究。先后主持国家自然科学基金面上项目、863项目子课题、浙江省自然科学基金以及多项企业横向课题。在国内外知名期刊和重要国际学术会议上发表论文40余篇，其中以第一作者或通讯作者在IEEE Transactions on Neural Networks and Learning Systems(TNNLS)、Pattern Recognition(PR)、IEEE/ACM Transactions on Computational Biology and Bioinformatics(TCBB)、Applied Soft Computing、Neural Computing and Applications、Neurocomputing等领域内的权威期刊和BIBM、ICANN、GECCO、IJCNN等CCF重要国际学术会议上发表论文30余篇，授权国家发明专利20余项。

• 先后主持国家自然科学基金面上项目、863项目子课题、浙江省自然科学基金以及多项企业横向课题。

  1、主持的纵向项目

  （1）中科院上海微系统与信息技术研究所基金项目：基于生物特征的步态识别算法研究（项目批准号：SYS201801），2019.10-2020.12，35万元（在研）

  （2）浙江省公益技术研究计划：面向临床的黑色素瘤初步筛查与智能诊断关键技术研究（项目批准号：LGF20H180002），2020.1-2022.12，10万元（在研）

  （3）浙江省自然科学基金：基于CNN 的相差显微图像序列下的癌细胞检测与多目标跟踪（项目批准号：Y18F030084），2018.1-2019.12，10万元（结题）

  （4）国家自然科学基金面上项目：具有区间输出约束的温室环境系统多变量优化控制算法的研究（项目批准号：61374094），2014.1-2017.12, 81万元（结题）

  （5）国家863子课题：多参数水质信息采集的数据无线传输技术研究（项目批准号：2008AA10Z227），2010.1-2011.12, 10万元（结题）

  2、主持的横向项目

    

  （1）企业（浙江蓝虹科技有限公司）横向项目，大数据驱动的固废资源循环利用综合评价系统，2020.5-2023.5，300万元（在研）

  （2）企业（东莞西尼自动化科技有限公司）横向项目，面向电子元器件检测的图像处理算法优化，2020.1-2021.1，15万元（在研）

  （3）企业（杭州创美实业）横向项目，三相智能型漏电保护器的研发，2013.3-2018.6，45万元（结题）

  （4）企业（浙江中力机械有限公司）横向项目，基于深度学习的焊缝质量检测与跟踪技术研发，2016.7-2017.6，10万（结题）

  
  
  

  
  

• 1. Selected journal papers

  [1] Haigen Hu, Aizhu Liu, Qiu Guan, Xiaoxin Li, Shengyong Chen, Qianwei Zhou. Adaptively Customizing Activation Functions for Various Layers. IEEE Transactions on Neural Networks and Learning Systems,doi:10.1109/TNNLS.2021.3133263. 

  [2]   Haigen Hu, Leizhao Shen, Qiu Guan, Xiaoxin Li, Qianwei Zhou, Su Ruan. Deep Co-supervision and Attention Fusion Strategy for Automatic COVID-19 Lung Infection Segmentation on CT Images. Pattern Recognition, 2022, Vol. 124, 108452. 

   [3]   Tian Qiu,Haigen Hu(通讯), Ruixin Chen, Qianwei Zhou, Qiu Guan, Xiaoxin Li. A multi-root solver for discontinuous and non-differentiable equations by integrating genetic algorithm and derivative-free iterative methods, Applied Soft Computing, 2021, Vol.109, 107493.

  [4]   Haigen Hu,Aizhu Liu, Qianwei Zhou, Qiu Guan, Xiaoxin Li, Qi Chen. An adaptive learning method of anchor shape priors for biological cells detection and segmentation. Computer Methods and Programs in Biomedicine, 2021, Vol. 208, 106260.

  [5]   Qianwei Zhou,Yuhang Chen,Baoqing Li,Xiaoxin Li,Chen Zhou,Jingchang Huang,Haigen Hu*. Training deep neural networks for wireless sensor networks using loosely and weakly labeled images. Neurocomputing, 2021, 427: 64-73. 

  [6]   Haigen Hu, Qiu Guan, Shengyong Chen, Zhiwei Ji, Lin Yao. Detection and Recognition for Life State of Cell Cancer Using Two-Stage Cascade CNNs.IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2020, 17(3):887-898.

  [7]   Haigen Hu, Pierre Decazes, Pierre Vera, Hua Li, Su Ruan. Detection and segmentation of lymphomas in 3D PET images via clustering with entropy-based optimization strategy. International Journal of Computer Assisted Radiology and Surgery,2019,14(10): 1715-1724. 

  [8]   Haigen Hu, Lili Zhou, Qiu Guan, Qianwei Zhou, Shengyong Chen. An Automatic Tracking Method for Multiple Cells Based on Multi-Feature Fusion. 2018, IEEE Access 6: 69782-69793.
  

  [9]   Haigen Hu, Cheng Luo, Qiu Guan, Xiaoxin Li, Shengyong Chen, Qianwei Zhou. A fast online multivariable identification method for greenhouse environment control problems. Neurocomputing, 2018, 312: 63-73.

  [10] Haigen Hu, Lihong Xu, Erik D. Goodman, Songwei Zeng. NSGA-II Based Nonlinear PID-Controller Tuning of Greenhouse Climate for Reducing Cost and Improving Performance. Neural Comput Appl. 2014, 24(3-4): 927-936. 
  

  [11] Zeng Songwei, Hu Haigen*, Xu Lihong, Li Guanghui. Nonlinear Adaptive PID Control for Greenhouse Environment Based on RBF Network. Sensors 2012; 12(5):5328-5348. 

  [12] Haigen Hu, Lihong Xu, Ruihua Wei and Bingkun Zhu. Multi-Objective Control Optimization for Greenhouse Environment Using Evolutionary Algorithms. Sensors 2011; 11(6):5792-5807. 

  [13] Haigen Hu, Lihong Xu, Bingkun Zhu and Ruihua Wei. A Compatible Control Algorithm for Greenhouse Environment Control Based on MOCC Strategy. Sensors 2011, 11(3), 3281-3302. 

    

  2. Selected conference papers

  [1]   Aizhu Liu, Haigen Hu, Tian Qiu, Qianwei Zhou, Qiu Guan, Xiaoxin Li. Exploring Optimal Adaptive Activation Functions for Various Tasks. 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Seoul, Korea (South), Dec. 16-19, 2020, pp.2290-2297. 

  [2]   Haigen Hu, Leizhao Shen, Tongxue Zhou, Pierre Decazes, Pierre Vera, Su Ruan. Lymphoma Segmentation in PET Images Based on Multi-view and Conv3D Fusion Strategy. 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI) April 3-7, 2020, Iowa City, Iowa, USA, pp. 1197-1120.

  [3]   Haigen Hu,Chao Du,Pierre Decazes, Pierre Vera, Su Ruan. A Prior Knowledge Integrated Scheme for Detection and Segmentation of Lymphomas in 3D PET Images based on DBSCAN and GAs. 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), San Diego, CA, USA, November 18-21, 2019,pp.2413-2420. 

  [4]     Haigen Hu, Chao Du, Qiu Guan, Qianwei Zhou, Plerre Vera, Su Ruan. A Background-based Data Enhancement Method for Lymphoma Segmentation in 3D PET Images. 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), San Diego, CA, USA, November 18-21, 2019,pp. 1194-1196. 

  [5]   Haigen Hu, Yixing Zheng, Qianwei Zhou, Jie Xiao, Shengyong Chen, Qiu Guan. MC-Unet: Multi-scale Convolution Unet for Bladder Cancer Cell Segmentation in Phase-Contrast Microscopy Images. 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), San Diego, CA, USA, November 18-21, 2019,pp. 1197-1199. 

  [6]   Haigen Hu, Kangjie Li, Qiu Guan, Feng Chen, Shengyong Chen, Yicheng Ni. A Multi-channel Multi-classifier Method for Classifying Pancreatic Cystic Neoplasms Based on ResNet. The 27th International Conference on Artificial Neural Networks(ICANN), Rhoeds, Greece, October 5-7th , 2018: pp.101-108.
  

  [7] Haigen Hu, Lihong Xu, Erik D.Goodman. A Control Optimization Algorithm for Greenhouse Climate Control Problems. Proceedings of the 12th Annual Genetic and Evolutionary Computation Conference, GECCO '10 - Companion Publication, p 2081-2082, 2010.
  

  [8]  Haigen Hu, Lihong Xu, Ruihua Wei. Nonlinear Adaptive Neuro-PID Controller Design for Greenhouse Environment Based on RBF Network. 2010 International Joint Conference on Neural Networks (IJCNN 2010), July 18-23, 2010, Barcelona, Spain.

  [9]  Haigen Hu, Lihong Xu, Ruihua Wei, Bingkun Zhu. Multi-Objective Tuning of Nonlinear PID Controllers for Greenhouse Environment using Evolutionary Algorithms. 2010 IEEE Congress on Evolutionary Computation (IEEE CEC 2010), July 18-23, 2010, Barcelona, Spain.

Currently, I mainly teach “big data development technology”, “big data basic computing framework”,  “computer engineering training” and other courses.