Research Team

Liu, Siqi

POSITION/TITLE:

Research Scientist at the Medical Big Data Laboratory, Shenzhen Municipal Big Data Research Institute


RESEARCH FIELD:

Medical Image Analysis, Biometric Security, Computer Vision, Deep Learning


EMAIL:

siqiliu@sribd.cn

EDUCATION BACKGROUND:

Hong Kong Baptist University, Doctor of Computer Science 

Sun Yat-sen University, Bachelor of Science



BIOGRAPHY:

Dr. Siqi Liu is currently a Research Scientist at the Medical Big Data Laboratory of the Shenzhen Big Data Research Institute. He obtained his Bachelor's degree from Sun Yat-sen University and later pursued advanced studies at Hong Kong Baptist University, where he received his Ph.D. in Computer Science in 2021 and continued his postdoctoral research until 2022. In 2014, Dr. Liu participated in an exchange program at Kyoto University. His research interests include medical image analysis related to gastroscopic and case image analysis, biometric security, computer vision, and deep learning. He has published several papers in top conferences and journals in the field of computer vision and pattern recognition, such as ECCV, AAAI, IJCAI, and IEEE TIFS, and has served as a reviewer for top-tier conferences and journals including CVPR, ICCV, ECCV, ICLR, AAAI, IJCAI, WACV, IEEE TPAMI, TIP, TIFS, TDSC, and TBIOM.


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). 2022.112. 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), 2022.034. 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), 2021.086. 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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