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浦劍

鎖定
浦劍，男，博士，華東師範大學計算機科學與技術學院碩士生導師，數據分析高級研究所副研究員。 [1] 
中文名
浦劍
學位/學歷
博士
職    業
教師
專業方向
機器學習，計算機視覺，醫學圖像分析等
任職院校
華東師範大學

目錄

  1. 1 人物經歷
  2. 2 研究方向
  3. 3 學術成果

浦劍人物經歷

任中國自動化學會混合智能專業委員會 委員
中國醫學裝備協會磁共振成像裝備與技術專業委員會人工智能學組 委員 [1] 

浦劍研究方向

機器學習，計算機視覺，醫學圖像分析等 [1] 

浦劍學術成果

期刊論文：
  1. 浦劍, 張軍平，黃華。“超分辨率算法綜述”， 《山東大學學報》, 2009.
  2. Tak-MingChan, JunpingZhang,Jian Pu, HuaHuang, “Neighbor Embedding Based SuperResolution Algorithm Through Edge Detection and Feature Selection,” Pattern RecognitionLetters, 2009.
  3. 浦劍, 張軍平。“基於稀疏表示和詞典學習的圖像超分辨率”，《模式識別與人工智能》, 2010.
  4. Junping Zhang,Jian Pu, Changyou Chen, and Rudolf Fleischer, “Low-resolution GaitRecognition,” IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics,2010.
  5. Chen Wang, Junping Zhang, Liang Wang,Jian Pu, Xiaoru Yuan, “Human IdentificationUsing Temporal Information Preserving Gait Template,” IEEE Transactions on PatternAnalysis and Machine Intelligence, 2012.
  6. Qian Lv, Liqin Yang, Guoliang Li, Zhiwei Wang, Zhuangming Shen, Wenwen Yu, Qinying Jiang, Baoyu Hou,Jian Pu, Hailan Hu, Zheng Wang, “Large-scale Persistent NetworkReconfiguration induced by Ketamine in Anesthetized Monkeys: Relevance to Mood Disorders,” Biological Psychiatry, 2015.
  7. Jian Pu, Jun Wang, Yu-Gang Jiang, Xiangyang Xue, “Multiple Task Learning with FlexibleStructure Regularization,” Neurocomputing, 2015.
  8. Jian Pu, Jun Wang, Wenwen Yu, Zhuangming Shen, Qian Lv, Kristina Zeljic, ChenchengZhang, Bomin Sun, Guoxiang Liu, Zheng Wang, “Discriminative Structured Feature Engineering for Macroscale Brain Connectomes,” IEEE Transactions on Medical Imaging,2015.
  9. Shi Zhong,Jian Pu, Yu-Gang Jiang, Rui Feng, Xiangyang Xue, “Flexible Multi-TaskLearning with Latent Task Grouping,” Neurocomputing, 2016.
  10. 查宏遠，浦劍，李鬱欣。“影像組學的回顧與展望,” 《上海醫學》，2017.
  11. Yingbin Zheng, Hao Ye, Li Wang, Jian Pu, “Learning Multi-Viewpoint Context-Aware Representation for RGB-D Scene Classification,” IEEE Signal Processing Letters, 2018.
會議論文：
1. Jian Pu, Junping Zhang, Peihong Guo, Xiaoru Yuan, “Interactive Super-resolution throughNeighbor Embedding,” ACCV, 2009.
2. Chen Wang, Junping Zhang,Jian Pu, Xiaoru Yuan and Liang Wang, “Chrono-Gait Image:A Novel Temporal Template for Gait Recognition,” ECCV, 2010.
3. Jian Pu, Yu-Gang Jiang, Jun Wang, Xiangyang Xue, “Multiple Task Learning Using Iteratively Reweighted Least Square,” IJCAI, 2013.
4. Zuxuan Wu, Yu-Gang Jiang, Jun Wang,Jian Pu, Xiangyang Xue, “Exploring Inter-featureand Inter-class Relationships with Deep Neural Networks for Video Classification,” ACM MM, 2014.
5. Jian Pu, Yu-Gang Jiang, Jun Wang, Xiangyang Xue, “Which Looks Like Which: FineGrained Visual Categorization with Generic Multiple Task Learning,” ECCV, 2014.
6. Yingbin Zheng, Jian Pu, Hong Wang, Hao Ye. “Indoor Scene Classification by Incorporating Predicted Depth Descriptor,” PCM，2017.
7. Jian Pu, Jun Wang, Yingbin Zheng, Hao Ye, Weiwei Shen, Yuxin Li, Hongyuan Zha. “Boosting Alzheimer Diagnosis Accuracy with the Help of Incomplete Privileged Information,” BIBM, 2017.
8. Fangyan Ye, Jian Pu, Jun Wang, Yuxin Li, Hongyuan Zha. “Glioma Grading Based on 3D Multimodal Convolutional Neural Network and Privileged Learning,” BIBM, 2017
9.Ao Zhang, Nan Li, Jian Pu, Jun Wang, Junchi Yan, Hongyuan Zha. “tau-FPL: Tolerance-Constrained Learning in Linear Time,” AAAI, 2018. [1] 
參考資料
  • 1.    浦劍  ．華東師範大學[引用日期2020-04-09]