基本信息

张玲玲 助理教授

西安交通大学计算机科学与技术系

 陕西省天地网技术重点实验室

联系方式

 邮箱:zhanglling@xjtu.edu.cn

 地址:西安交通大学兴庆校区

            彭康楼228

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2020,西安交通大学优秀博士毕业生

2020,徐宗本应用数学论文奖

2020,华为奖学金

2019,国睿奖学金

2016,蒋震奖学金

2013,谷歌女性奖学金

2012,国家奖学金

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  • 机器学习
  • 计算机视觉
  • 小样本/零样本学习

研究领域

  • 2020/07~,西安交通大学计算机科学与技术系,助理教授
  • 2018/092019/9,美国卡耐基梅隆大学计算机学院,访问学生
  • 2015/092020/06西安交通大学计算机科学与技术系,博士
  • 2011/092015/06,西安交通大学计算机科学与技术系,本科

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  • 张玲玲*,、陈一苇、吴文俊、魏笔凡、罗炫、常晓军、刘均,基于对比约束的可解释小样本学习,计算机研究与发展,2021(已录用).
  • Shaowei Wang, Lingling Zhang*, Yi Yang, Xin Hu, Tao Qin, Bifan Wei, Jun Liu, CSDQA: Diagram Question Answering in Computer Science, China Conference on Knowledge Graph and Semantic Computing. Springer, Singapore, 2021: 274-280.
  • Wenjun Wu, Lingling Zhang*, Yiwei Chen, Xuan Luo, Bifan Wei, Jun Liu, Fuzzy c-Means Clustering with Discriminative Projection, ICBK 2021
  • Xin Hu, Lingling Zhang*, Jun Liu, Qinghua Zheng, Jianlong Zhou, Fs-DSM: Few-Shot Diagram-Sentence Matching via Cross-Modal Attention Graph Model, IEEE Transactions on Image Processing, 2021, Accepted.
  • 蔺奇卡、张玲玲*、刘均、赵天哲,基于问句感知图卷积的教育知识库问答方法,计算机科学与探索,2021.
  • 郑庆华、刘均、魏笔凡、张玲玲. 知识森林:理论、方法与实践, 科学出版社, 2021.
  • Jun Liu, Lingling Zhang, Bifan Wei, Qinghua Zheng. Virtual Teaching Assistants: Technologies, Applications and Challenges. In: Fang Chen, Jianlong Zhou (Eds.), Humanity Driven AI: Productivity, Well-being, Sustainability and Partnership, Springer, 2021.
  • Qika Lin, Jun Liu, Yudai Pan, Lingling Zhang, Xin Hu, Jie Ma. Rule-Enhanced Iterative Complementation for Knowledge Graph Reasoning, Information Sciences, 2021, Accepted.
  • Lingling Zhang, Shaowei Wang, Xiaojun Chang, Jun Liu, Zongyuan Ge, and Qinghua Zheng. Auto-FSL: Searching the Attribute Consistent Network for Few-Shot Learning, IEEE Transactions on Circuits and Systems for Video Technology, 2021, Accepted.
  • Jinzhi Liao, Xiang Zhao, Xibyi Li, Lingling Zhang, Jiuyang Tang, Learning Discriminative Neural Representations for Event Detection, SIGIR, 2021.
  • Ning Wang, Minnan Luo, Kaize Ding, Lingling Zhang, Jundong Li, Qinghua Zheng,  Graph Few-shot Learning with Attribute Matching, CIKM, 2020.
  • Lingling Zhang, Xiaojun Chang, Jun Liu, Sen Wang, Zongyuan Ge, Minnan Luo, Alexander Hauptmann, ZSTAD: Zero-Shot Temporal Activity Detection, CVPR,2020.
  • Xin Hu, Jun Liu, Jie Ma, Yudai Pan, Lingling Zhang, Fine-grained 3D-Attention Prototypes for FewShot Learning, Neural Computation, 2020.
  • Lingling Zhang, Xiaojun Chang, Jiu Liu, Minnan Luo, and Alexander G. Hauptmann, Few-Shot Activity Recognition with Cross-Modal Memory Network, Pattern Recognition, 2020. (CCF B)
  • Lingling Zhang, Minnan Luo, Zhihui Li, Feiping Nie, Huangxiang Zhang, Jun Liu, Qinghua Zheng. Large Scale Robust Semi-supervised Classification, IEEE Transactions on Cybernetics, 2018, 49(3): 907-917. (CCF B)
  • Lingling Zhang, Minnan Luo, Jun Liu, Xiaojun Chang, Yi Yang, and Alexander G. Hauptmann. Deep Top-k Ranking for Image-Sentence Matching, IEEE Transactions on Multimedia, 2019. (CCF B)
  • Lingling Zhang, Jun Liu, Minnan Luo, Xiaojun Chang, Qinghua Zheng, and Alexander G. Hauptmann. Scheduled Sampling for One-Shot Learning via Matching Network, Pattern Recognition, 2019. (CCF B)
  • Lingling Zhang, Jun Liu, Minnan Luo, Xiaojun Chang, Qinghua Zheng. Deep Semi-supervised Zero-shot Learning with Maximum Mean Discrepancy. Neural Computation, 2018, 30(5), 1426-1447. (CCF B)  
  • Lingling Zhang, Minnan Luo, Jun Liu, Zhihui Li, Qinghua Zheng. Diverse fuzzy c-means for image clustering, Pattern Recognition Letter, 2018.
  • Minnan Luo, Lingling Zhang, Feiping Nie, Xiaojun Chang, Buyue Qian, Qinghua Zheng. Adaptive Semi-supervised Learning with Discriminative Least Squares Regression, In Proceedings of the 26th International Joint Conference on Artificial Intelligence (IJCAI), 2017. (CCF A类会议)
  • Minnan Luo, Lingling Zhang, Jun Liu and Qinghua Zheng, Distributed Extreme Learning Machine with Alternating Direction Method of Multiplier, Neurocomputing, 2017, 261, 164-170. 
  • Lingyun Song, Minnan Luo, Jun Liu, Lingling Zhang, Haifei Li, Qinghua Zheng, Sparse Multi-Modal Topical Coding for Image Annotation, Neurocomputing, 2016, 214, 162-174.