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Xiaolin Huang

Professor

Institue of Image Processing and Pattern Recognition

Research Interests: Machine Learning, Optimization, and their Applications

Office:  SEIEE 2-429,  Dongchuan Road 800, Shanghai 200240, P.R. China

email: xiaolinhuang@sjtu.edu.cn



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Education                                                                                                                                                               

2006-2012
Ph.D.  Tsinghua University
2002-2006
B.S.    Xi'an Jiao Tong University


                  

Research Experience                                                                                                                                                                                

2024- Full Professor, Shanghai Jiao Tong University
2016-2023 Associate Professor, Shanghai Jiao Tong University
2015-2017 Humboldt Fellow, Friedrich-Alexander Universität Erlangen-Nürnberg
2015-2016 Free Researcher, KU Leuven
2012-2015 Postdoctoral Researcher, KU Leuven


                         


Project                                                                                                                                                               
Promoter for

2024-2027 NSFC (regular): Dyanmics Analysis and Reduction of Deep Nerual Networks: Theory, Algorithm, and Applications
2023-2027 State Key Program: Intelligent Analysis for Food and the Applications
2022-2024 Shanghai Municipal Science and Technology Commission: Robustness of DNN based on Randomness and Low-dimensinoal Trajectory
2021-2023
Training Speed Up for Multi-media Search
2021-2022
Misdetection Detection and Optimization for BN (with Huawei)
2020-2023 NSFC (regfular): Multi-layer Kernel Learning: Theory, Algorithm, and Applications
2019-2020 Robustness Enhancement for Classification and Detection (with Huawei)
2018-2021 Key Technique of Intelligent Endoscopy 
2017 National Top Talent (Young Program)
2017-2019 National Natural Science Foundation of China(NSFC, Young Program):Robust one-bit compressive sensing and its applications
2015-2017  Humboldt Foundation: Piecewise linear technology in machine learning and applications on medical engineering
2013-2015 Bilateral scientific cooperation-KU Leuven and Tsinghua University: BIL11/12T



Academic Activities                                                                                                                                                           

Senior Member, IEEE  (S’10-M’12 -SM'18)

Senior Member, Chinese Association for Artificial Intelligence (CAAI)

Member, Chinese Society of Image and Graphics (CSIG)


Editor: Machine Learning 

Area Chair/Senior TPC member: ICLR, CVPR, ICCV, AAAI, ESANN, etc. 



People                                                                                                                                                                          

Prof. Shuning Wang,Tsinghua University

Prof. Johan A.K. Suykens,  KU Leuven

Prof. Andreas MaierUniversität Erlangen-Nürnberg

Prof. Li Li,Tsinghua University

Prof. Lei Shi,Fudan University

Prof. Yipeng Liu,University of Electronic Science and Technology of China

Prof. Jun Xu,Harbin Institute of Technology (Shenzhen)

Associate Prof. Ming Yan,Chinese University of Hong Kong (Shenzhen)

Associate Prof. Yunlong Feng,State University of New York at Albany

Associate Prof. Siamak Mehrkanoon,  Utrecht Universit

Associate Prof. Chao Shang, Tsinghua University 

Copyright @2018 Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University. 

Address: 2-427 SEIEE Building, 800 Dong Chuan Rd, Shanghai, 200240, P.R.China