Research Team

LI, Haofeng

POSITION/TITLE:

SRIBD Research Scientist


RESEARCH FIELD:

Medical Image Analysis, Computer Vision, Deep Neural Networks


EMAIL:

lhaof@sribd.cn

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-Eficient NucleiSegmentation Framework, lEEE Transactions on Medical lmaging (TMl, IF=11.037). 2022.11
2. Junjia Huang, Haofeng Li#Corresponding), Guanbin Li#, Xiang Wan, Attentive symmetric Autoencoder for Brain MRl Segmentation, EarlyAccept ltop 13% in MICCAl, 2022.09
3. Haofeng Li, Junia Huang, Guanbin Li, Zhou Liu, Yihong Zhong, Yingving Chen, Yunfei Wang.Xiang Wan. View-Disentangled Transformer forBrain Lesion Detection, International Symposium on Biomedical lmaging (lSBl), 2022.03
4. Jiutao Yue*, Haofeng Li* /oint first author, Pengxu Wei, Guanbin Li, Liang Lin, Robust Rea-World lmage Super-Resolution against Adversarial Attacks,ACM Multimedia (CCF A).2021.10
5. Hong-Yu Zhou", chengdi Wang", Haofeng Li* (oint first author), Gang Wang, Shu Zhang, Weimin Li, Yizhou Yu, ssMD: semi-supervisedmedical image detection with adaptive consistency and heterogeneous perturbation, Medical lmage Analysis lF = 8.545), 2021.08
6. Haofeng L/ Yirui Zeng, Guanbin li. liang lin, Yizhou Yu, Online Aternate Generator against Adversarial Attacks.lEEE Transactions on lmageProcessing ITIP,CCF A.IF=10.856)2020.09
7. Haofeng L, Guangi Chen, Guanbin li, Yizhoy Yu, Motion Guided Attention for Video Salient Obiect Detection,lEEE international Conferenceon Computer Vision (lCCV CCF A).2019.11
8. Haofeng Li, Guanbin Li, Yizhou Yu, ROsA: Robust Salient Object Detection Against Adversarial Attacks, lEEE Transactions on CyberneticsUCR Q1.IF=11.079).2019
9. Haofeng l, Guanbin Li, liang Lin, Hongchuan Yy, Yizhou Yu, Context Aware semantic Inpainting, lEEE Transactions on Cybernetics (/CR011.2018
10. Xiang He, Sibei Yang, Guanbin li, Haofeng Li, Huiyou Chang, Yizhou Yu, Non-Local Context Encoder Robust Biomedical lmageSeamentation against Adversarial Attacks. Oral Presentation in AAAl (CCF A). 2019
11. Kan Wu, Guanbin li, Haofeng Li jianiun Zhang, Yizhou Yu, Harvesting Visual Objects from Interet lmages via Deep Learning BasedObiectness Assessment ACM Transactions on Multimedia Computing, Commynications and Applicaions TOMM (CCF B). 2019


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