Xinggang Wang Associate Professor Artificial Intelligence Institute School of Electronic Information and Communications Huazhong University of Science and Technology Email: xgwang@hust.edu.cn Homepage: https://xinggangw.info HUST faculty homepage: http://faculty.hust.edu.cn/xwang/en/index.htm Google Scholar: https://scholar.google.com/citations?user=qNCTLV0AAAAJ&hl=en Citations: 3400+, h-index: 31, 10-index: 50 Address: Room E428-504, Nan-1 Hall, Luoyu Rd 1037, Wuhan, 430074, China

Education

• Ph.D. in computer vision (Sep. 2009 - Nov. 2014), Huazhong University of Science and Technology. Thesis title: Shape modeling and weakly-supervised learning for object recognition. Supervisor: Prof. Wenyu Liu.

• B.Eng. in Electronic and Information Engineering (Sep. 2005 - Jun. 2009), Huazhong University of Science and Technology

Professional Experience

• Associate Professor (Nov. 2017 - now), School of Electronic Information and Communications, Huazhong University of Science and Technology.

• Assistant Professor (Dec. 2014 - Nov. 2017), School of Electronic Information and Communications, Huazhong University of Science and Technology.

• Visiting graduate researcher at UCLA (Feb. 2013 - Oct. 2013), supervised by Prof. Alan Yuille.

• Research intern at MSRA (Jan. 2012 - Dce. 2012), supervised by Prof. Zhuowen Tu.

• Visiting scholar at Temple University (Jun. 2010 - Dec. 2011), supervised by Prof. Longin Latecki.

Awards

• Excellent Award of CCF-Tencent Research Fund

• Outstanding reviewers of Pattern Recognition, Nurocomputing, Pattern Recognition Letter, 2017

• Excellent Ph.D. Thesis Award Nomination, China Education Society OF Electronics，CESE, 2017

• Excellent Ph.D. Thesis Award, Hubei Province, 2016

• Young Elite Scientist Sponsorship Program by the China Association for Science and Technology (CAST), 2015

• Microsoft Research Asia Fellowship Award , 2012 [more information ]

• National PhD Fellowship, Huazhong University of Science and Technology, 2012

Publications

• Publication list: https://xinggangw.info/pubs.htm, including 30 papers top-tier AI conferences, i.e., CVPR, ICCV, ECCV, NIPS, ICML and AAAI, and more than 35 papers in selective journals, e.g., IEEE TPAMI, Pattern Recognition, IEEE TIP, Information Sciences, IEEE TNNLS.

Academic Activities

• Reviewer for the following journals/institutes/conferences: IEEE T PAMI / JMLR / Pattern Recognition / IEEE T. Cybernetics / IEEE TIP / TMM / IVC / TITS / CVIU / IJCV / Neurocomputing / NIPS / ICDM / ICCV / ECCV / CVPR / ICME / ICIP / ICPR / AISTATS / ICML / ICLR.

• Website chair of VALSE 2016 / Website chair of IEEE SIDAS 2016 / Website chair of IEEE CAS conference on intelligent media computing

• VALSE VOOC, Member of CSIG, Member of CCF, Member of IEEE

Talks

• "Proposal Tracking and Segmentation (PTS): A cascaded network for video object segmentation", in the 1st Large-scale Video Object Segmentation Challenge Workshop in conjunction with ECCV2018, Munich, Germany. Sep. 2018. Slides

• "Weakly and deeply supervised visual learning", in CSIG Young Scientists' Forum, Lanzhou, China. Aug. 2018. Slides

• "Weakly-Supervised Semantic Segmentation Network with Deep Seeded Region Growing", in the first VALSE Workshop on Pixel Level Image Understanding (PLIU), Dalian, China. Apr. 2018. Slides

Competitions

• 2nd Place in the 1st Large-scale Video Object Segmentation Challenge Workshop in conjunction with ECCV 2018, Munich, Germany. Sep. 2018. Certificate

• 3rd Place in International Contest on Object Detection hosted by ICPR 2018, Beijing, China. Aug. 2018. Certificate

Last updated in Apr. 05, 2020