I am a First-Year PhD Student at Department of Computer & Information Science & Engineering, University of Florida under the supervision of Prof. Anand Rangarajan and Prof. Sanjay Ranka at the Modern Artificial intelligence and Learning Technologies Lab (UF MALT Lab).

I received B.E. degree from Department of Software Engineering, Sichuan University in June, 2015. From 2014-2016, I worked as a Research Assistant at the Multimedia Lab, Department of Information Engineering, Chinese University of Hong Kong (MMLab, CUHK) and Multimedia Research Center, Shenzhen Institute of Advanced Technology (MMLab, SIAT) under the supervision of Dr. Weilin Huang and Prof. Chen Change Loy, supported by Prof. Yu Qiao and Prof. Xiaoou Tang. I was a Research Intern at Megvii (Face++) Research USA, working with Dr. Jue Wang.

As an enthusiastic researcher, my goal is to combine state-of-the-art deep learning algorithms with real-life industrial problems. I am currently solving problems of visual object tracking, few shot learning, and scene text understanding.


Publications (Google Scholar)

Boosting up Scene Text Detectors with Guided CNN
Xiaoyu Yue, Zhanghui Kuang, Zhaoyang Zhang, Zhenfang Chen, Pan He, Yu Qiao, Wei Zhang
British Machine Vision Conference (BMVC), 2018 (Oral)
(Accepted for oral presentation, 4.29% acceptance rate)
Adaptive Adversarial Attack on Scene Text Recognition
Xiaoyong Yuan, Pan He, Xiaolin Li
Technical Report on arXiv 1807.03326, 2018
Adverarial Examples: Attacks and Defenses for Deep Learning
Xiaoyong Yuan, Pan He, Qile Zhu, Rajendra Rana Bhat, Xiaolin Li
Technical Report on arXiv 1712.07107, 2017
Accepted to IEEE Transactions on Neural Networks and Learning Systems (TNNLS)
[pdf] [code]
Learning Fast and Slow: PROPEDEUTICA for Real-time Malware Detection
Ruimin Sun*, Xiaoyong Yuan*, Pan He, Qile Zhu, Aokun Chen, Andre Gregio, Daniela Oliveira, Xiaolin Li
Technical Report on arXiv 1712.01145, 2017
Submitted to Annual Computer Security Applications Conference, 2018 (ACSAC)
Single Shot Text Detector with Regional Attention
Pan He, Weilin Huang, Tong He, Qile Zhu, Yu Qiao, Xiaolin Li
IEEE International Conference on Computer Vision (ICCV), 2017 (Spotlight)
(Accepted for spotlight presentation, 2.61% acceptance rate)
[pdf] [demo] [poster] [code]
Detecting Text in Natural Image with Connectionist Text Proposal Network
Zhi Tian, Weilin Huang, Tong He, Pan He, Yu Qiao
European Conference on Computer Vision (ECCV), 2016
[pdf] [demo] [code]
Reading Scene Text in Deep Convolutional Sequences
Pan He*, Weilin Huang*, Yu Qiao, Chen Change Loy, Xiaoou Tang
The 30th AAAI Conference on Artificial Intelligence (AAAI), 2016 (Oral)


May. 2017 - Aug. 2017: Research Intern, Megvii Research US

Oct. 2015 - Jul. 2016: Research Assistant, Multimedia Laboratory, Chinese University of Hong Kong

Sept. 2014 - Jul. 2016: Research Assistant, Multimedia Research Center, Shenzhen Institues of Advanced Technology

Jul. 2014 - Sept. 2014: Summer Intern, National University of Singapore

Sept. 2013 - May. 2014: Project Developer, Facebook Open Academy



International Patent: PCT/CN2015/081308. with Xiaoou Tang, Yu Qiao, Chen Change Loy and Weilin Huang


US Patent: App. 62/579,324 with Xiaolin Li


Chinese Patent: 201610878795.5. with Yu Qiao, Tong He, Weilin Huang and Zhi Tian

Professional Activities

Teaching and Courses

Awards and Honor

SIAT Direct Scholarship for Innovation and Creativity

Graduation Thesis Awarded First Prize

Outstanding Graduate of Sichuan University

Student Mentoring

Christopher Moffitt (Undergraduate student at UFL)

Caleb Bryant (Undergraduate student at UFL)

Friends and Collaborators

Weilin Huang (Oxford), Tong He (Adelaide), Zhe Wang (UCI), Sheng Guo (SIAT), Yandong Wen (CMU), Limin Wang (ETHz), Bowen Zhang (USC), Kaipeng Zhang (NTU), Yu Qiao (SIAT), Yuanjiang Ni (UCSC), Xing Liu (IU), Xiaoyong Yuan (UFL), Xiaohui Huang (UFL)