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張佳 ZHANG Jia

廈門大學 人工智能系

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學術   ACADEMIC

張佳博士研究生,現就讀于廈門大學信息學院人工智能系,師從李紹滋教授。電子郵件:zhangjia_gl@163.com j.zhang@stu.xmu.edu.cn

個人簡介

研究興趣:機器學習,數據挖掘,人工智能。目前主要關注:分類(多標記學習,弱監督學習,類不平衡學習),特征選擇與稀疏學習,深度學習,數據融合,推薦系統,醫療人工智能(中醫健康管理,藥物重定位,再住院預測,神經發育障礙)。

學術經歷

2016.09-至今:廈門大學—智能科學與技術專業,工學博士。導師:李紹滋教授

2019.05-2019.07:香港城市大學—訪問學者。導師:Kay Chen Tan教授

2013.09-2016.06:閩南師范大學—計算機應用技術專業,工學碩士。導師:林夢雷教授,林耀進教授

項目經歷:目前/曾參與國家重點研發計劃子課題,國家自然科學基金聯合重點項目,國家自然科學基金面上項目,福建省 2011 中醫健康管理協同創新中心項目等。

主要成果

在國內外發表科研論文20余篇,其中SCI收錄10篇,EI收錄3篇,Google Scholar 他引183次,單篇最高他引53次。主要學術成果如下:

J. Zhang, Z. Luo, C. Li, C. Zhou, S. Li*. Manifold regularized discriminative feature selection for multi-label learning. Pattern Recognition, 2019, 95: 136-150. [pdf] [code]

J. Zhang, C. Li, Z. Sun, Z. Luo, C. Zhou, S. Li*. Towards a unified multi-source-based optimization framework for multi-label learning. Applied Soft Computing, 2019, 76: 425-435.

J. Zhang, C. Li, D. Cao, Y. Lin, S. Su, L. Dai, S. Li*. Multi-label learning with label-specific features by resolving label correlations. Knowledge-Based Systems, 2018, 159: 148-157.

J. Zhang, C. Li, Y. Lin, Y. Shao, S. Li*. Computational drug repositioning using collaborative filtering via multi-source fusion. Expert Systems with Applications, 2017, 84: 281-289.

J. Zhang, Y. Lin*, M. Lin, J. Liu. An effective collaborative filtering algorithm based on user preference clustering. Applied Intelligence, 2016, 45 (2): 230-240.


Y. Lin, J. Li, A. Tan, J. Zhang. Granular matrix-based knowledge reductions of formal fuzzy contexts. International Journal of Machine Learning and Cybernetics, in press.

Z. Sun, J. Zhang, L. Dai, C. Li, C. Zhou, J. Xin, S. Li. Mutual information based multi-label feature selection via constrained convex optimization. Neurocomputing, 2019, 329: 447-456.

L. Dai, J. Zhang, C. Li, C. Zhou, S. Li. Multi‐label feature selection with application to TCM state identification. Concurrency and Computation: Practice and Experience, 2018, e4634.

J. Liu, Y. Lin, M. Lin, S. Wu, J. Zhang. Feature selection based on quality of information. Neurocomputing, 2017, 225: 11-22.

Y. Lin, Q. Hu, J. Zhang, X. Wu. Multi-label feature selection with streaming labels. Information Sciences, 2016, 372: 256-275.

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