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Large-scale esophageal cancer screening through noncontrast computed tomography and artificial intelligence.
Nature Medicine, 2026.
[Paper]
Jian Zhou, Guangyu Guo†, Jiawen Yao, Qinji Yu, Chunpeng Zheng, Xiaochen Feng, Xianghua Ye, Yongjin Zhou, Pei Yang, Lukas Lambert, Shaojun Zheng, Qiong Li, Yingda Xia, Wenchao Guo, Yi Chen, Mengdi Zhang, Yu Jiang, Dandan Zheng, Jia Ge, Haomiao Qing, Wusong Liu, Peng Zhou, Mei Lan, Lei Wu, Yong Li, Haifeng Wang, Yong Zhou, Junqiang Chen, Liyan Xu, Chenying Lu, Lin Chen, Junwei Han, Chengwei Shao, Wenqiang Wei, Kai Zhang, Jianfeng Zhang, Dingwen Zhang, Jiansong Ji, Na Li, Chuanmiao Xie, Kai Cao, Yuqian Zhao, Ling Zhang & Qifeng Wang.
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Semantic-Aware Organ-Level Esophageal Tumor Synthesis via Latent Rectified Flow.
MICCAI, 2026.
[Paper]
Qinji Yu, Guangyu Guo†, Jiawen Yao, Zhilin Zheng, Tiancheng Lin, Yingda Xia, Yi Guo, Qifeng Wang, Jian Zhou, Ling Zhang.
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Binglu Wang, Sensen Niu, Ying Chen, Guangyu Guo*.
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VL-HTR: Learning Human-Target Representation From Vision-Language Model.
TCYB, 2026.
[Paper]
Binglu Wang, Chenxi Guo, Jingyi Cui, Haisheng Xia, Guangyu Guo*, Zhijun Li.
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TumorChain: Interleaved Multimodal Chain-of-Thought Reasoning for Traceable Clinical Tumor Analysis.
ICLR, 2026.
[Code] [Paper]
Sijing Li, Zhongwei Qiu, Jiang Liu, Wenqiao Zhang, Tianwei Lin, Yihan Xie, Jianxiang An, Boxiang Yun, Chenglin Yang, Jun Xiao, Guangyu Guo, Jiawen Yao, Wei Liu, Yuan Gao, Ke Yan, Weiwei Cao, Zhilin Zheng, Tony C. W. Mok, Kai Cao, Yu Shi, Jiuyu Zhang, Jian Zhou, Beng Chin Ooi, Yingda Xia, Ling Zhang.
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Pixel Distillation: Cost-flexible Distillation across Image Sizes and Heterogeneous Networks.
TPAMI, 2024.
[Code] [Paper]
Guangyu Guo, Dingwen Zhang, Longfei Han, Nian Liu, Ming-Ming Cheng, Junwei Han.
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Progressive Adapting and Pruning: Domain-Incremental Learning for Saliency Prediction.
ACM TOMM, 2024.
[Code] [Paper]
Kaihui Yang, Junwei Han, Guangyu Guo, Chaowei Fang, Yingzi Fan, Lechao Cheng, Dingwen Zhang.
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Contextual Dependency Vision Transformer for spectrogram-based multivariate time series analysis.
Neurocomputing, 2024.
[Code] [Paper]
Jieru Yao, Longfei Han, Kaihui Yang, Guangyu Guo, Nian Liu, Xiankai Huang, Zhaohui Zheng, Dingwen Zhang, Junwei Han.
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Boosting Medical Image-based Cancer Detection via Text-guided Supervision from Reports. arXiv preprint, 2024.
[Paper]
Guangyu Guo, Jiawen Yao, Yingda Xia, Tony CW Mok, Zhilin Zheng, Junwei Han, Le Lu, Dingwen Zhang, Jian Zhou, Ling Zhang.
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Position-based anchor optimization for point supervised dense nuclei detection.
Neural Networks, 2024.
[Code] [Paper]
Jieru Yao, Longfei Han, Guangyu Guo, Zhaohui Zheng, Runmin Cong, Xiankai Huang, Jin Ding, Kaihui Yang, Dingwen Zhang, Junwei Han.
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Semantic-aware Knowledge Distillation with Parameter-free Feature Uniformization.
Visual Intelligence, 2023.
[Paper]
Guangyu Guo, Longfei Han, Le Wang, Dingwen Zhang, Junwei Han.
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Generalized Weakly Supervised Object Localization.
TNNLS, 2022.
[Code] [Paper]
Dingwen Zhang, Guangyu Guo, Wenyuan Zeng, Lei Li, Junwei Han.
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Strengthen learning tolerance for weakly supervised object localization.
CVPR, 2021.
[Paper]
Guangyu Guo, Junwei Han, Fang Wan, Dingwen Zhang.
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Eliminating indefiniteness of clinical spectrum for better screening COVID-19.
JBHI, 2021.
[Code] [Paper]
Guangyu Guo†, Zhuoyan Liu, Shijie Zhao, Lei Guo, Tianming Liu.
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Learning object detectors with semi-annotated weak labels.
TCSVT, 2019.
[Code] [Paper]
Dingwen Zhang, Junwei Han, Guangyu Guo, Long Zhao.
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Poseflow: A deep motion representation for understanding human behaviors in videos.
CVPR, 2018.
[Code] [Paper]
Dingwen Zhang, Guangyu Guo†, Dong Huang, Junwei Han.