Dr. Haofeng Li  李灏峰
Haofeng Li received the bachelor’s degree in Computer Science from Sun Yat-sen University (SYSU), Guangzhou in 2015, the doctorate degree in Computer Science from the University of Hong Kong (HKU) in 2020 with Hong Kong Postgraduate Fellowship (HKPFS). He is currently an research scientist at the Shenzhen Research Institute of Big Data, the Chinese University of Hong Kong (Shenzhen).

本人招收目前在港中大（深圳）就读的、且有意进组开展科研的本科生，欢迎联系我邮箱: lihaofeng@cuhk.edu.cn（2024/04/30更新）
[Google Scholar] [Github] [ResearchGate] [ORCID] [SRIBD] [CUHK(SZ)]
Research Interests: Medical Image Analysis, Deep Neural Networks

Experience

2024.10-Now, Adjunct Assistant Professor in CUHK(SZ)
2020.06-Now, Research Scentist in SRIBD, CUHK(SZ)
2015.09-2020.03, PhD in Computer Science, HKU; advised by IEEE Fellow Prof. Yizhou Yu
2011.09-2015.06, BSc in Computer Science, Sun Yat-Sen University; GPA Rank of 1/102

Professional Activities

Reviewer:


Membership:

Scientific Report, IEEE TPAMI (CCF-A), IEEE TIP (CCF-A), IEEE TMI (CCF-B), IEEE TCYB (JCR Q1), Pattern Regconition (CCF-B), Neurocomputing, Neural Processing Letter, IEEE Access, The Visual Computer Journal, NeurIPS 2022, MICCAI 2023/2024, CVPR 2024/2025
China Computer Federation CCF, IEEE

Advisees

2022-Now, Haifan Gong, SYSU ---> PhD Cand. in SRIBD-CUHK(SZ)
2021-Now, Wei LOU, PhD Cand. in SRIBD-CUHK(SZ)
2021-Now, Junjia Huang, SYSU ---> Intern in SRIBD
2022-2024, Luoyao Kang, MPhil in SRIBD-CUHK(SZ)
2022-2023, Xinyi Yu, MPhil in HKUST ---> Engineer in SRIBD
2022-2023, Zihang Xu, Intern in SRIBD
2020-2021, Hong-Yu Zhou, PhD Cand. in HKU
2018-2019, Guanqi Chen, SYSU ---> PhD Cand. in HKU
2018-2019, Xiang He, SYSU ---> CloudWalk

Publications

The multimodality cell segmentation challenge: toward universal solutions
Jun Ma, Ronald Xie, Shamini Ayyadhury, Cheng Ge, Anubha Gupta, Ritu Gupta, Song Gu, Yao Zhang, Gihun Lee, Joonkee Kim, Wei Lou, Haofeng Li, et al.
Nature methods 2024
Arxiv   Code Released!  

Cell Graph Transformer for Nuclei Classification
Wei Lou, Guanbin Li, Xiang Wan, Haofeng Li#(Corresponding)
AAAI 2024
Arxiv   Code Released!  

UniCell: Universal Cell Nucleus Classification via Prompt Learning
Junjia Huang*, Haofeng Li*(Equal contribution), Xiang Wan, and Guanbin Li
AAAI 2024
Arxiv   Code Released!  

Structure embedded nucleus classification for histopathology images
Wei Lou, Xiang Wan, Guanbin Li, Xiaoying Lou, Chenghang Li, Feng Gao, Haofeng Li#(Corresponding)
IEEE Transactions on Medical Imaging 2024
Arxiv   Code Released!  

Affine-Consistent Transformer for Multi-Class Cell Nuclei Detection
Junjia Huang*, Haofeng Li*(Equal contribution), Xiang Wan, and Guanbin Li
ICCV 2023
Arxiv   Code Released!  

Diffusion-based Data Augmentation for Nuclei Image Segmentation
Xinyi Yu, Guanbin Li, Wei LOU, Siqi Liu, Xiang Wan, Yan Chen, and Haofeng Li#(Corresponding)
MICCAI 2023
Arxiv   Code Released!  

Prompt-based Grouping Transformer for Nucleus Detection and Classification
Junjia Huang*, Haofeng Li*(Equal contribution), Weijun Sun, Xiang Wan, and Guanbin Li
MICCAI 2023
Arxiv   Code Released!  

Visual-Attribute Prompt Learning for Progressive Mild Cognitive Impairment Prediction
Luoyao Kang*, Haifan Gong*, Xiang Wan, and Haofeng Li#(Corresponding)
MICCAI 2023
Arxiv   Code Released!  

ASC: Appearance and Structure Consistency for Unsupervised Domain Adaptation in Fetal Brain MRI Segmentation
Zihang Xu*, Haifan Gong*, Xiang Wan, and Haofeng Li#(Corresponding)
MICCAI 2023
Arxiv   Code Released!  

Multi-stream Cell Segmentation with Low-level Cues for Multi-modality Images
Wei LOU, Xinyi Yu, Chenyu Liu, Xiang Wan, Guanbin Li, Siqi Liu, Haofeng Li#(Corresponding)
Winner Finalist Award (The 2nd place in 100 teams) in NeurIPS 2022 Challenge CellSeg, to appear in PMLR
Arxiv   Code   HuggingFace   Napari  

Which Pixel to Annotate: a Label-Efficient Nuclei Segmentation Framework
Wei Lou, Haofeng Li#(Corresponding), Guanbin Li, Xiaoguang Han, Xiang Wan
IEEE Transactions on Medical Imaging (IF=11.037), 2022.11
Arxiv   Blog   Code   Patent

Attentive Symmetric Autoencoder for Brain MRI Segmentation
Junjia Huang, Haofeng Li#(Corresponding), Guanbin Li#, Xiang Wan
Early Accept (top 13%) in MICCAI, 2022.09
Arxiv   Blog   Code   Patent

Thyroid region prior guided attention for ultrasound segmentation of thyroid nodules
Haifan Gong, Jiaxin Chen, Guanqi Chen, Haofeng Li, Guanbin Li, Fei Chen
Computers in Biology and Medicine (CBM, IF=6.698), 2023.03

View-Disentangled Transformer for Brain Lesion Detection
Haofeng Li, Junjia Huang, Guanbin Li, Zhou Liu, Yihong Zhong, Yingying Chen, Yunfei Wang, Xiang Wan
International Symposium on Biomedical Imaging (ISBI), 2022.03
Arxiv   Code   Patent

Robust Real-World Image Super-Resolution against Adversarial Attacks
Jiutao Yue*, Haofeng Li* (Equal Contribution), Pengxu Wei, Guanbin Li, Liang Lin
ACM Multimedia (CCF A), 2021.10
Arxiv   Blog   Code

SSMD: Semi-Supervised medical image detection with adaptive consistency and heterogeneous perturbation
Hong-Yu Zhou*, Chengdi Wang*, Haofeng Li* (Equal Contribution), et al.
Medical Image Analysis (IF = 8.545), 2021.08
Arxiv

Online Alternate Generator against Adversarial Attacks
Haofeng Li, Yirui Zeng, Guanbin Li, Liang Lin, Yizhou Yu
TIP (CCF A, IF=10.856), 2020.09
Arxiv   Patent

Motion Guided Attention for Video Salient Object Detection
Haofeng Li, Guanqi Chen, Guanbin Li, Yizhou Yu
ICCV (CCF A), 2019.11
Arxiv   Blog   Code

ROSA: Robust Salient Object Detection Against Adversarial Attacks
Haofeng Li, Guanbin Li, Yizhou Yu
IEEE Transactions on Cybernetics (JCR Q1, IF=11.079), 2019
Code

Context Aware Semantic Inpainting
Haofeng Li, Guanbin Li, Liang Lin, Hongchuan Yu, Yizhou Yu
IEEE Transactions on Cybernetics (JCR Q1), 2018
Code

Non-Local Context Encoder: Robust Biomedical Image Segmentation against Adversarial Attacks
Xiang He, Sibei Yang, Guanbin Li, Haofeng Li, Huiyou Chang, Yizhou Yu
Oral Presentation in AAAI (CCF A), 2019

Harvesting Visual Objects from Internet Images via Deep Learning Based Objectness Assessment
Kan Wu, Guanbin Li, Haofeng Li, Jianjun Zhang, Yizhou Yu
ACM Transactions on Multimedia Computing, Communications and Applications TOMM (CCF B), 2019

Context and Adversarial Learning in Low-level Vision
Haofeng Li
PhD Thesis, The University of Hong Kong, Pokfulam, Hong Kong SAR, 2020

Patents

李灏峰，楼威，余心仪，李冠彬，刘斯奇，万翔，“一种细胞分割方法及系统”，编号CN115994918A，公开日2023/04/21

李灏峰，楼威，李冠彬，韩晓光，万翔，“一种低成本高效的细胞核图像分割方法”(已授权)，编号CN115393378A，公开日2022/11/25

李灏峰，黄俊嘉，李冠彬，万翔，“基于注意力对称自编码的脑肿瘤自监督预训练方法、装置”，编号CN115035093A，公开日2022/09/09

李灏峰，黄俊嘉，李冠彬，刘周，钟贻洪，陈影影，王云飞，罗德红，万翔，“基于视角解耦Transformer模型的病灶检测方法、装置、设备及介质”，编号CN114549462A，公开日2022/05/27

李冠彬，曾怡瑞，李灏峰，林倞，“一种基于在线迭代生成器的对抗防御方法及系统”(已授权)，编号CN110796608A，公开日2020/02/14

李灏峰，李冠彬，刘婷婷，黄婷婷，“图像处理方法、装置及电子设备”(已授权)，编号CN111046379A，公开日2019/07/02

Honors & Grants

2023-2025,Guangdong Basic and Applied Basic Research Foundation,广东省基础与应用基础研究基金面上项目(主持)

2022-2024, National Natural Science Fund of China, 国家自然科学基金青年基金项目(主持)

2022.12, Winner Finalist Award (The 2nd place in 100 teams) in NeurIPS 2022 Challenge CellSeg,细胞分割挑战全球亚军(指导老师/通讯作者)

2021.05, Overseas High-Caliber Personnel in Shenzhen 深圳市海外高层次人才

2015-2020, Hong Kong PhD Fellowship, HKPF 港府博士奖学金

2014.12, Silver Medal in ACM-ICPC, Asia Regional 国际大学生程序设计竞赛亚洲区域赛银牌

2012,2013,2014, National Scholarship in China (top 1% awarded) 国家奖学金(本科阶段，三次获得)

2017.05, 2nd Runner-up Prize in Hang Seng Bank FinTech Hackathon, 10,000 HKD

2014.10, China Computer Federation (CCF) Outstanding Undergraduate Award (100 awardees)

2014.04, Meritorious Winner of American Mathematical Contest in Modeling

Skills

Program Language: Python, C++/C, Lua, Matlab
Deep Learning Tool: Pytorch, Torch, Caffe
English Level: IELTS 7.0 (Reading 8.5, Writing 7.0), CET-6 545, CET-4 576