Introduction

LI, Haofeng

Biography

POSITION/TITLE 

Research Scientist

RESEARCH FIELD

Medical Image Analysis, Computer Vision, Deep Neural Networks

EMAIL

lhaof@sribd.cn

PERSONAL WEBSITE

http://haofengli.net/ 

EDUCATION BACKGROUND

PhD, The University of Hong Kong

BSc, Sun Yat-sen University

BIOGRAPHY

Dr. Haofeng Li received his Ph.D. degree in computer science from The University of Hong Kong (2015-2020) and his B.Sc. degree in computer science from Sun Yat-sen University (2011-2015). In June 2020, he joined Shenzhen Research Institute of Big Data (SRIBD). His research interests include medical image analysis, computer vision and deep neural networks. He already published 15 papers on the well-known conferences and journals, including IEEE TMI, MedIA, MICCAI, ICCV, AAAI, ACM MM, IEEE TIP, IEEE TCyb, ISBI etc. Dr. Haofeng Li is the reviewer of IEEE TPAMI, IEEE TIP, IEEE TCYB, Pattern Regconition, Neurocomputing, NeurIPS 2022, MICCAI 2023 etc. He is the principle investigator (PI) that leads a project supported by National Natural Science Foundation of China (NSFC) and a project supported by Guangdong Basic and Applied Basic Research Foundation. He led a team to obtain the 2nd place of NeurIPS cell segmentation challenge (out of 100 teams). He is recruiting students and team members. For more details, please visit http://haofengli.net/ 

ACADEMIC PUBLICATIONS

* Joint first authors  # Corresponding author

  1. Wei Lou, Haofeng Li#(Corresponding), Guanbin Li, Xiaoguang Han, Xiang Wan, Which Pixel to Annotate: a Label-Efficient Nuclei Segmentation Framework, IEEE Transactions on Medical Imaging (TMI, IF=11.037), 2022.11
  2. Junjia Huang, Haofeng Li#(Corresponding), Guanbin Li#, Xiang Wan, Attentive Symmetric Autoencoder for Brain MRI Segmentation, Early Accept (top 13%) in MICCAI, 2022.09
  3. Haofeng Li, Junjia Huang, Guanbin Li, Zhou Liu, Yihong Zhong, Yingying Chen, Yunfei Wang, Xiang Wan, View-Disentangled Transformer for Brain Lesion Detection, International Symposium on Biomedical Imaging (ISBI), 2022.03
  4. Jiutao Yue*, Haofeng Li* (Joint first author), Pengxu Wei, Guanbin Li, Liang Lin, Robust Real-World Image Super-Resolution against Adversarial Attacks, ACM Multimedia (CCF A), 2021.10
  5. Hong-Yu Zhou*, Chengdi Wang*, Haofeng Li* (Joint first author), Gang Wang, Shu Zhang, Weimin Li, Yizhou Yu, SSMD: Semi-Supervised medical image detection with adaptive consistency and heterogeneous perturbation, Medical Image Analysis (IF = 8.545), 2021.08
  6. Haofeng Li, Yirui Zeng, Guanbin Li, Liang Lin, Yizhou Yu, Online Alternate Generator against Adversarial Attacks, IEEE Transactions on Image Processing (TIP, CCF A, IF=10.856), 2020.09
  7. Haofeng Li, Guanqi Chen, Guanbin Li, Yizhou Yu, Motion Guided Attention for Video Salient Object Detection, IEEE International Conference on Computer Vision (ICCV, CCF A), 2019.11
  8. Haofeng Li, Guanbin Li, Yizhou Yu, ROSA: Robust Salient Object Detection Against Adversarial Attacks, IEEE Transactions on Cybernetics (JCR Q1, IF=11.079), 2019
  9. Haofeng Li, Guanbin Li, Liang Lin, Hongchuan Yu, Yizhou Yu, Context Aware Semantic Inpainting, IEEE Transactions on Cybernetics (JCR Q1), 2018
  10. Xiang He, Sibei Yang, Guanbin Li, Haofeng Li, Huiyou Chang, Yizhou Yu, Non-Local Context Encoder: Robust Biomedical Image Segmentation against Adversarial Attacks, Oral Presentation in AAAI (CCF A), 2019
  11. Kan Wu, Guanbin Li, Haofeng Li, Jianjun Zhang, Yizhou Yu, Harvesting Visual Objects from Internet Images via Deep Learning Based Objectness Assessment, ACM Transactions on Multimedia Computing, Communications and Applications TOMM (CCF B), 2019