- Current State: I am pursuing my Ph.D. degree at Northwestern Polytechnical University, also as a Research Intern at Medical AI Laboratory, Damo, Alibaba.
- Research Interests: Computer Vision and Artificial Intelligence related topics, especially in weakly supervised learning, knowledge distillation, medical image analysis, and vision-language model.
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$\bullet$ 2023-Present: Research Intern at Medical AI Laboratory, Damo (达摩院) Alibaba (阿里巴巴) -
$\bullet$ 2021-2022: Inter at the third academy of China Aerospace Science and Industry Corporation (CASIC) -
$\bullet$ 2018-Present: Northwestern Polytechnical University, Ph.D, supervised by Prof. Junwei Han and Prof. Dingwen Zhang -
$\bullet$ 2016-2018: Northwestern Polytechnical University, MA, supervised by Prof. Junwei Han -
$\bullet$ 2012-2016: Nanjing University of Aeronautics and Astronautics, BA
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$\bullet$ 2023-Present: AI-powered multi-cancer early detection public welfare program, CT-based Survival Prediction (Medical AI Lab, Alibaba Damo) -
$\bullet$ 2022-Present: Nuclei recognition in Histopathology Images (Xijing Hospital, The Fourth Military Medical University) -
$\bullet$ 2021-2022: Infrared ship recognition under complex background (China Aerospace Science and Industry Corporation (CASIC))
#: equal contribution; *: corresponding author.
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$\bullet$ Guangyu Guo, Dingwen Zhang*, Longfei Han, Nian Liu, Ming-Ming Cheng, Junwei Han*. Pixel Distillation: Cost-flexible Distillation across Image Sizes and Heterogeneous Networks. TPAMI, 2024. -
$\bullet$ Kaihui Yang, Junwei Han*, Guangyu Guo, Chaowei Fang, Yingzi Fan, Lechao Cheng, Dingwen Zhang*. Progressive Adapting and Pruning: Domain-Incremental Learning for Saliency Prediction. ACM TOMM, 2024. -
$\bullet$ Jieru Yao, Longfei Han, Kaihui Yang, Guangyu Guo, Nian Liu, Xiankai Huang, Zhaohui Zheng, Dingwen Zhang, Junwei Han. Contextual Dependency Vision Transformer for spectrogram-based multivariate time series analysis. Neurocomputing, 2024. -
$\bullet$ Guangyu Guo, Jiawen Yao*, Yingda Xia, Tony CW Mok, Zhilin Zheng, Junwei Han, Le Lu, Dingwen Zhang*, Jian Zhou, Ling Zhang. Boosting Medical Image-based Cancer Detection via Text-guided Supervision from Reports. arXiv preprint, 2024. -
$\bullet$ Jieru Yao, Longfei Han, Guangyu Guo, Zhaohui Zheng*, Runmin Cong, Xiankai Huang, Jin Ding, Kaihui Yang, Dingwen Zhang*, Junwei Han. Position-based anchor optimization for point supervised dense nuclei detection. Neural Networks, 2024. -
$\bullet$ Guangyu Guo, Longfei Han, Le Wang, Dingwen Zhang*, Junwei Han. Semantic-aware Knowledge Distillation with Parameter-free Feature Uniformization. Visual Intelligence, 2023. -
$\bullet$ Dingwen Zhang, Guangyu Guo, Wenyuan Zeng, Lei Li*, Junwei Han*. Generalized Weakly Supervised Object Localization. TNNLS, 2022. -
$\bullet$ Guangyu Guo, Junwei Han, Fang Wan, Dingwen Zhang*. Strengthen learning tolerance for weakly supervised object localization. CVPR, 2021. -
$\bullet$ Guangyu Guo#, Zhuoyan Liu#, Shijie Zhao#*, Lei Guo, Tianming Liu. Eliminating indefiniteness of clinical spectrum for better screening COVID-19. JBHI, 2021. -
$\bullet$ Dingwen Zhang#, Guangyu Guo#, Dong Huang#, Junwei Han*. Poseflow: A deep motion representation for understanding human behaviors in videos. CVPR. 2018. -
$\bullet$ Dingwen Zhang, Junwei Han*, Guangyu Guo, Long Zhao. Learning object detectors with semi-annotated weak labels. TCSVT, 2018.
Awesome Weakly-supervised Semantic Segmentation 
Awesome Weakly-supervised Object Localization 
