師資
研究方向:
計算機視覺、多模態(tài)大模型、深度學(xué)習(xí)、醫(yī)學(xué)圖像及信息處理、人工智能等
教育背景
◆ 1999-2002中科院北京自動化所模式識別國家重點實驗室，博士
◆ 1996-1999山東工業(yè)大學(xué)（現(xiàn)山東大學(xué)），碩士
◆ 1992-1996山東工業(yè)大學(xué)（現(xiàn)山東大學(xué)），學(xué)士
工作經(jīng)歷
◆ 2019 –至今 南方科技大學(xué)計算機系教授（兼任斯發(fā)基斯可信自主系統(tǒng)研究院教授）
◆ 2015-2019 英國鄧迪大學(xué)科學(xué)與工程學(xué)院計算機系Reader，計算機系國際合作主任
◆ 2010-2015 英國鄧迪大學(xué)科學(xué)與工程學(xué)院計算機系高級講師
◆ 2007-2010 英國貝爾法斯特女王大學(xué)計算機系講師
◆ 2005-2007 英國倫敦大學(xué)瑪利亞女王學(xué)院計算機系，博士后研究員
◆ 2003-2005 法國國家信息與自動化研究院（INRIA），博士后研究員
◆ 2002-2003 新加坡南洋理工大學(xué)，博士后研究員
榮譽與獎項
◆ 2018年，“國家高層次人才”
◆ 2020年，“深圳市海外高層次人才”（孔雀計劃）A類
◆ 2021年至今，連續(xù)多年入選“愛思唯爾中國高被引學(xué)者”
◆ 2024年，阿里巴巴湖畔實驗室“教育科技人才一體化優(yōu)秀合作項目”
◆ 2023年，教育部-華為“智能基座”棟梁之師榮譽稱號
◆ IEEE高級會員
◆ 2017年，在加拿大魁北克舉辦的國際基于核磁共振的腦部白質(zhì)高亮區(qū)域分割競賽中 (MICCAI 2017- Brain WMH Segmentation Challenge) 獲冠軍
◆ 2016年，和UCL一起獲Olea Medical- Olea Innovators contest prize
◆ 2015 年，在德國慕尼黑，由 MICCAI15 舉辦的內(nèi)窺鏡視覺競賽中的兩個項目上取得第一名的成績（Endoscopic Vision Challenge on sub challenges of Polyp Localization and Early Barret’s Cancer detection）, MICCAI15, Munich
◆ 2014 年，在瑞典斯坦哥爾摩舉辦的國際醫(yī)學(xué)圖像識別競賽（“Performance Evaluation of Indirect Immunofluorescence Image Analysis Systems”–ICPR 2014）中取得優(yōu)異成績，所有項目（cell and specimen classification）上均獲第一
◆ 2014 年，英國國際醫(yī)學(xué)圖像理解和分析大會的最佳癌癥類論文獎
◆ 2014 年，哈佛大學(xué)舉辦的腦部癌癥病理圖片分割競賽中取得優(yōu)異成績。（Brain Tumour Digital Pathology Challenge –MICCAI2014- 醫(yī)學(xué)圖像處理頂級會議），算法性能第二
◆ 2008 年，國際機器視覺和圖像處理大會的最佳論文獎。（International Machine Vision and Image Processing Conference 2008）
◆ 2006 年，由歐洲 PASCAL 主辦的國際視覺目標物體的分類競賽（PASCAL Visual Object Classification Challenge）中所有 10 個項目上取得優(yōu)異成績，在多個項目上第一
◆ 2005 年，在第一屆國際視覺目標物體分類競賽（PASCAL Visual Object Classification Challenge）中所有 8 個項目上取得優(yōu)異成績，在多個項目上第一
◆ 2002 年，獲中科院院長獎學(xué)金優(yōu)秀獎
代表文章
[1] Cao, G., Lan, X., Huang, W., Zhang, J., Jiang, D., & Wang, Y. (2025). DS-Det: Single-Query Paradigm and Attention Disentangled Learning for Flexible Object Detection. ACMMM 2025.
[2] Huang, W., Cao, G., Xia, J., Chen, J., Wang, H., & Zhang, J. (2025). h-calibration: Rethinking Classifier Recalibration with Probabilistic Error-Bounded Objective. IEEE Trans. on PAMI.
[3] Xia, J., Xu, M., Huang, W., Zhang, J., Zhang, H., & Xiao, C. (2025). Mitigating Knowledge Discrepancies among Multiple Datasets for Task-agnostic Unified Face Alignment. IJCV 2025.
[4] Liang, T., Lin, K. Y., Tan, C., Zhang, J., Zheng, W. S., & Hu, J. F. (2025). Referdino: Referring video object segmentation with visual grounding foundations. ICCV 2025.
[5] Jiahao Xia, Yike Wu, Wenjian Huang, Jianguo Zhang, Jian Zhang. Unsupervised Part Discovery via Descriptor-Based Masked Image Restoration with Optimized Constraints. ICCV 2025.
[6] Guiping Cao, Tao Wang, Wenjian Huang, Xiangyuan Lan, Jianguo Zhang, Jiang Dongmei. Open-Det: An Efficient Learning Framework for Open-Ended Detection. ICML 2025.
[7] Peijia Qin, Jianguo Zhang. Learning to Quantize for Training Vector-Quantized Networks. ICML 2025.
[8] Yunlong Tang, Jing Bi, Siting Xu, Luchuan Song, Susan Liang, Teng Wang, Daoan Zhang, Jie An, Jingyang Lin, Rongyi Zhu, Ali Vosoughi, Chao Huang, Zeliang Zhang, Pinxin Liu, Mingqian Feng, Feng Zheng, Jianguo Zhang, Ping Luo, Jiebo Luo, Chenliang Xu (2025). Video understanding with large language models: A survey. IEEE Transactions on Circuits and Systems for Video Technology.
[9] Guiping Cao, Wenjian Huang, Xiangyuan Lan, Dongmei Jiang, Jianguo Zhang, Yaowei Wang (2025). Cross-DINO: Cross the Deep MLP and Transformer for Small Object Detection. IEEE Transactions On MultiMedia.
[10] Yu Long, Qinghua Lin, Zhihua Wang, Kai Zhang Zhang, Jianguo Zhang, Yuming Fang Fang (2025). Enhancing Low-Light Images: A Synthetic Data Perspective on Practical and Generalizable Solutions. AAAI 2025.
[11] Jingkun Chen, Wenjian Huang, Jianguo Zhang, Kurt Debattista, Jungong Han (2025). Addressing inconsistent labeling with cross image matching for scribble-based medical image segmentation. IEEE Trans. On Image Processing.
[12] Shuaijie Shen, Chao Wang, Renzhuo Huang, Yan Zhong, Qinghai Guo, Zhichao Lu, Jianguo Zhang, Luziwei Leng (2025). SpikingSMMs: Learning long sequences with sparse and parallel spiking state space models. AAAI 2025.
[13] Yuan, J., Siakallis, L., Li, H. B., Brandner, S., Zhang, J., Li, C., … & Bisdas, S. (2024). Structural-and DTI-MRI enable automated prediction of IDH Mutation Status in CNS WHO Grade 2–4 glioma patients: a deep Radiomics Approach. BMC Medical Imaging, 24(1), 104.
[14] Wang, H., Luo, S., Hu, G., & Zhang, J. (2024). Gradient-Guided Modality Decoupling for Missing-Modality Robustness. Proceedings of the AAAI Conference on Artificial Intelligence, 38(14), 15483-15491.
[15] Jun Cen, Chenfei Wu, Xiao Liu, Shengming Yin, Yixuan Pei, Jinglong Yang, Qifeng Chen, Nan Duan, and Jianguo Zhang. 2024. Using left and right brains together: towards vision and language planning. In Proceedings of the 41st International Conference on Machine Learning (ICML'24), Vol. 235. JMLR.org, Article 230, 5982–6001.
[16] Xia, J., Huang, W., Xu, M., Zhang, J., Zhang, H., Sheng, Z., & Xu, D. (2024). Unsupervised Part Discovery via Dual Representation Alignment. IEEE Transactions on Pattern Analysis and Machine Intelligence.
[17] Cao, G., Huang, W., Lan, X., Zhang, J., Jiang, D., & Wang, Y. (2024, August). MLP-DINO: category modeling and query graphing with deep MLP for object detection. In Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence (IJCAI-24), Jeju, Republic of Korea (pp. 3-9).
[18] Luo, X., Xu, Q., Wang, Z., Huang, C., Liu, C., Jin, X., & Zhang, J. (2024). A Lesion-Fusion Neural Network for Multi-View Diabetic Retinopathy Grading. IEEE Journal of Biomedical and Health Informatics.
[19] Li, B., Leng, L., Shen, S., Zhang, K., Zhang, J., Liao, J., & Cheng, R. (2024). Efficient Deep Spiking Multilayer Perceptrons With Multiplication-Free Inference. IEEE Transactions on Neural Networks and Learning Systems.
其他信息
Associate Editor of IEEE Trans. On Multimedia (2019 – present)
Associate Editor of IET Computer Vision (2017 - present)
Associate Editor of EURASIP Advances in Signal Processing (2016-present)
Gest Editor of Pattern Recognition (2012)
Area Chair of BMVC (2010 –present)
PCs/reviews for ICCV, CVPR, ECCV, AAAI, IEEE PAMI, IJCV etc
Founding Chair and Organizer of VECTaR 2013 2012, 2011, 2010, 2009 (in conjunction with ICCV 2013, ECCV12, ICCV11 etc),