曹擎星

个人简介

于2019年在中山大学取得博士学位，博士期间师从林倞教授，并在新加坡国立大学Shuicheng Yan教授团队交流一年。2019年加入中山大学智能工程学院，任博士后副研究员，合作导师为梁小丹副教授。主要研究领域包括计算机视觉和多模态问答，已在各类国际期刊和会议上发表论文共11篇，研究成果在国际会议CVPR上进行了口头报告，总引用超过500次。

研究方向

计算机视觉，语言视觉多模态学习

科研项目

国家自然科学基金, 青年基金项目, 62006255, 具备可解释性的跨模态图文联合解析模型研究,

发表论文

     1. Qingxing Cao, Bailin Li, Xiaodan Liang, Keze Wang, Liang Lin, Knowledge-Routed Visual Question Reasoning: Challenges for Deep Representation Embedding, IEEE Transactions on Neural Networks and Learning Systems(TNNLS)

     2. Qingxing Cao, Xiaodan Liang, Bailin Li, Liang Lin, Interpretable Visual Question Answering by Reasoning on Dependency Trees, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)

     3. Yukai Shi, Guanbin LI, Qingxing Cao, Keze Wang, Liang Lin, Face Hallucination by Attentive Sequence Optimization with Reinforcement Learning, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)

     4. Xunlin Zhan, Yinya Huang, Xiao Dong, Qingxing Cao, Xiaodan Liang, PathReasoner: Explainable reasoning paths for commonsense question answering. Knowledge Based System.

     5. Qingxing Cao, Wentao Wan, Keze Wang, Xiaodan Liang, Liang Lin, Linguistically Routing Capsule Network for Out-of-distribution Visual Question Answering, 2021 International Conference on Computer Vision (ICCV 2021)

     6. Yinya Huang, Meng Fang, Xunlin Zhan, Qingxing Cao, Xiaodan Liang, REM-Net: Recursive Erasure Memory Network for Commonsense Evidence Refinement, The Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI 2020)

     7. Qingxing Cao, Xiaodan Liang, Bailin Li, Guanbin Li, Liang Lin, Visual Question Reasoning on General Dependency Tree, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2018)

     8. Xian Wu, Guanbin Li, Qingxing Cao, Qingge Ji Liang Lin, Interpretable Video Captioning via Trajectory Structured Localization, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2018)

     9. Qingxing Cao, Liang Lin, Yukai Shi, Xiaodan Liang, Guanbin Li, Attention-Aware Face Hallucination via Deep Reinforcement Learning, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2017)

     10. Xiaodan Liang, Liang Lin, Qingxing Cao, Rui Huang, Yongtian Wang, Recognizing Focal Liver Lesions in CEUS With Dynamically Trained Latent Structured Models, IEEE Transactions on Medical Imaging (TMI)

     11. Xiaodan Liang, Qingxing Cao, Rui Huang, Liang Lin, Recognizing focal liver lesions in contrast-enhanced ultrasound with discriminatively trained spatio-temporal model 2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI 2014)

联系方式

电子邮箱：caoqx8@mail.sysu.edu.cn