梁孔明
- 教师英文名称:Kongming Liang
- 电子邮箱:liangkongming@bupt.edu.cn
- 所在单位:人工智能学院
- 职务:副研究员
- 学历:研究生毕业
- 办公地点:教三楼803
- 性别:男
- 联系方式:15101142543
- 学位:博士学位
- 职称:副教授
- 在职信息:在职
- 毕业院校:中国科学院计算技术研究所
- 博士生导师
- 硕士生导师
- 学科:信息与通信工程*
- 所属院系:人工智能学院
- 曾获荣誉:
- 2018当选:中科院院长奖学金
- 2018当选:所长特别奖奖学金
- 2018当选:北京市优秀毕业生
- 2016当选:国家留学基金委公派留学奖学金
- 2012当选:北京市优秀毕业生
- 2010当选:国家奖学金
- 2009当选:国家奖学金
访问量:
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[21]
Focus the Overlapping Problem on Few-Shot Object Detection via Multiple Predictions, Mandan Guan, Wenqing Yu, Yurong Guo, Keyan Huang, Jiaxun Zhang, Kongming Liang, Zhanyu Ma, Chinese Conference on Pattern Recognition and Computer Vision (PRCV), 2023
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[22]
Plugging Stylized Controls in Open-Stylized Image Captioning, Jie Wang, Yixiao Zheng, Ruoyi Du, Yiming Zhang, Kongming Liang, Zhanyu Ma, Chinese Conference on Pattern Recognition and Computer Vision (PRCV), 2023
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[23]
Learning Dynamic Prototypes for Visual Pattern Debiasing, Kongming Liang, Zijin Yin, Min Min, Yan Liu, Zhanyu Ma, Jun Guo, International Journal of Computer Vision, 2023
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[24]
Semi-Supervised Learning for FGVC with Out-of-Category Data, Ruoyi Du, Dongliang Chang, Zhanyu Ma, Kongming Liang, Yi-Zhe Song, Jun Guo, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023
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[25]
Self-Enhanced Training Framework for Referring Expression Grounding, Yitao Chen, Ruoyi Du, Kongming Liang, Zhanyu Ma, 2023 IEEE International Conference on Image Processing (ICIP), 2023
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[26]
Attribute learning with knowledge enhanced partial annotations, Kongming Liang, Xinran Wang, Tao Wei, Wei Chen, Zhanyu Ma, Jun Guo, 2023 IEEE International Conference on Image Processing (ICIP), 2023
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[27]
Zijin Yin, Kongming Liang*, Zhanyu Ma, and Jun Guo, Duplex Contextual Relation Network for Polyp Segmentation, in Proceedings of IEEE International Symposium on Biomedical Imaging (ISBI), 2022.
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[28]
Chenyu Guo, Jiyang Xie, Kongming Liang, Xian Sun, and Zhanyu Ma*, Cross-layer Navigation Convolutional Neural Network for Fine-grained Visual Classification, in Proceedings of ACM Multimedia Asia Conference, 2021.
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[29]
Kongming Liang, Kai Han, Xiuli Li, Xiaoqing Cheng, Yiming Li, Yizhou Wang, Yizhou Yu. Symmetry-Enhanced Attention Network for Acute Ischemic Infarct Segmentation with Non–Contrast CT Images, MICCAI, 2021
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[30]
Chenghao Liu, Xiangzhu Zeng, Kongming Liang, Yizhou Yu, Chuyang Ye. Improved Brain Lesion Segmentation with Anatomical Priors from Healthy Subjects, MICCAI, 2021
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[31]
Shi, Zhao, C. Miao, U. Schoepf, R. H. Savage, D. M. Dargis, C. Pan, X. Chai, X. Li, S. Xia, X. Zhang, Yan Gu, Yonggang Zhang, B. Hu, Wenda Xu, C. Zhou, S. Luo, H. Wang, L. Mao, Kongming Liang, Li-li Wen, L. Zhou, Yizhou Yu, G. Lu and Long Jiang Zhang. “A clinically applicable deep-learning model for detecting intracranial aneurysm in computed tomography angiography images.” Nature Communications 11 (2020): n. pag.
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[32]
Shen Wang, Kongming Liang*, Yiming Li, Yizhou Yu, Yizhou Wang. Context-Aware Refinement Network Incorporating Structural Connectivity Prior for Brain Midline Delineation, International Conference on Medical Image Computing and Computer-Assisted Intervention, (2020, 208-217)
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[33]
Shen Wang*, Kongming Liang*, Chengwei Pan, Chuyang Ye, Xiuli Li, Feng Liu, Yizhou Yu, Yizhou Wang, Segmentation-based method combined with dynamic programming for brain midline delineation. The IEEE International Symposium on Biomedical Imaging (ISBI), 2020. [Accession number: 20202308795070]
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[34]
Chenghao Liu, Fengqian Pang, Yanlin Liu, Kongming Liang, Xiuli Li, Xiangzhu Zeng, Chuyang Ye. Semi-supervised brain lesion segmentation using training images with and without lesions. The IEEE International Symposium on Biomedical Imaging (ISBI), 2020.
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[35]
Quanhui Liu, Xiaoqing Cheng, Qirui Zhang, Changsheng Zhou, Xiuli Li, Shen Wang, Kongming Liang, Guangming Lu. Automatic Segmentation for Acute Ischemic Stroke from DWI Using Deep Convolutional Neural Networks. European Congress of Radiology (ECR). 2019
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[36]
Kongming Liang, Hong Chang, Bingpeng Ma, Shiguang Shan, Xilin Chen. Unifying Visual Attribute Learning with Object Recognition in a Multiplicative Framework, IEEE transactions on pattern analysis and machine intelligence 41.7 (2018): 1747-1760.
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[37]
Kongming Liang, Hong Chang, Bingpeng Ma, Shiguang Shan, Xilin Chen. Visual Concept Conjunction Learning with Recurrent Neural Networks, Neurocomputing, 2019
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[38]
Kongming Liang, Yuhong Guo, Hong Chang, Xilin Chen. Visual Relationship Detection with Deep Structural Ranking. AAAI Conference on Artificial Intelligence, 2018
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[39]
Kongming Liang, Yuhong Guo, Hong Chang, Xilin Chen. Incomplete Attribute Learning with auxiliary labels. IJCAI. 2017
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[40]
Kongming Liang, Hong Chang, Shiguang Shan, Xilin Chen. Attribute Conjunction Learning with Recurrent Neural Network. ECML. 2016