I am a Third-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.

My recent research interests include dynamics modeling, efficient parallel training, and object-centric representation learning on both 2D and 3D data.
 

Publications (Google Scholar)

Truck and Trailer Classification with Deep Learning Based Geometric Features
Pan He, Aotian Wu, Xiaohui Huang, Jerry Scott, Anand Rangarajan, Sanjay Ranka
Submitted to IEEE Transactions on Intelligent Transportation Systems (T-ITS), 2019
Machine Learning based Highway Truck Freight Classification Using Logo Data
Pan He, Aotian Wu, Xiaohui Huang, Anand Rangarajan, Sanjay Ranka
Submitted to IEEE Transactions on Intelligent Transportation Systems (T-ITS), 2019
Deep Learning based Geometric Features for Effective Truck Selection and Classification from Highway Videos
Pan He, Aotian Wu, Xiaohui Huang, Jerry Scott, Anand Rangarajan, Sanjay Ranka
Intelligent Transportation Systems Conference, (ITSC), 2019
Document Binarization using Recurrent Attention Generative Model
Shuchun Liu, Feiyun Zhang, Mingxi Chen, Yufei Xie, Pan He, Jie Shao
British Machine Vision Conference (BMVC), 2019
Intelligent Intersection: Two-Stream Convolutional Networks for Real-time Near Accident Detection in Traffic Video
Xiaohui Huang, Pan He, Anand Rangarajan, Sanjay Ranka
Accepted to ACM Transactions on Spatial Algorithms and Systems (TSAS)
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, Dapeng Oliver Wu
Technical Report on arXiv 1807.03326, 2018
Accepted to The Eighth International Workshop on Security and Privacy in Big Data in conjunction with IEEE INFOCOM 2020
Adverarial Examples: Attacks and Defenses for Deep Learning
Xiaoyong Yuan, Pan He, Qile Zhu, Xiaolin Li
Top-5 Popular Articles in TNNLS up to date
Accepted to IEEE Transactions on Neural Networks and Learning Systems (TNNLS)
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
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)
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
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)

Experiences

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

Patents

METHODS AND APPARATUS FOR RECOGNIZING TEXT IN AN IMAGE

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

APPARATUS AND METHOD FOR DETECTING SCENE TEXT

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

METHODS AND APPARATUS FOR SCENE TEXT DETECTION

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

Professional Activities

Reviewer of Engineering Reports, 2020

Reviewer of IEEE Access, 2020

Reviewer of British Machine Vision Conference (BMVC), 2020

Program Committee of the first ACM International Conference on AI in Finance (ICAIF), 2020

Reviewer of International Journal on Document Analysis and Recognition (IJDAR), 2020

Reviewer of IEEE Transactions on Image Processing (TIP), 2020

Reviewer of The European Conference on Computer Vision (ECCV), 2020

Reviewer of The Conference on Computer Vision and Pattern Recognition (CVPR), 2020

Reviewer of Transactions on Intelligent Transportation Systems (T-ITS), 2020

Reviewer of Transportation Research Record (TRR), 2020

Program Committee&Reviewer of AAAI Conference on Artificial Intelligence (AAAI), 2020

Reviewer of Winter Conference on Applications of Computer Vision (WACV), 2020

Reviewer of British Machine Vision Conference (BMVC), 2019

Reviewer of International Conference on Computer Vision and Pattern Recognition (ICCV), 2019

Reviewer of The Conference on Computer Vision and Pattern Recognition (CVPR), 2019

Reviewer of International Journal on Document Analysis and Recognition (IJDAR), 2019

Program Committee&Reviewer of The Conference on Computer Vision and Pattern Recognition (CVPR), 2018

Reviewer of Asian Conference on Computer Vision (ACCV), 2018

Reviewer of International Conference on Pattern Recognition (ICPR), 2018

Reviewer of IEEE Transactions on Neural Networks and Learning Systems (TNNLS)

Reviewer of Knowledge and Information Systems (KIS)

TPC Member&Reviewer of International Conference on Machine Learning and Data Science (MLDS), 2019

TPC Member&Reviewer of International Conference on Machine Learning and Data Science (MLDS), 2018

TPC Member&Reviewer of International Conference on Machine Learning and Data Science (MLDS), 2017

Lead Organizer of UF ML Club

Instructor of Student Science Training Program (SSTP)

Teaching and Courses

CAP6610, Machine Learning (Spring 2019)

CAP6516, Medical Image Analysis (Spring 2019)

CDA 5155, Computer Architecture Principles (Fall 2018)

CAP 6617, Advanced Machine Learning (Fall 2018)

COT 5405, Analysis of Algorithms (Spring 2018)

CIS 6930, Introduction to Computational Neuroscience (Spring 2018)

COP 5536, Advanced Data Structures (Fall 2017)

COP 5615, Distributed Operating Systems Principles (Fall 2017)

EEL 6935, Big Data Ecosystems (Spring 2017) - Teaching Assistant

EEL 6935, Deep Learning (Spring 2017)

EEL 6825, Pattern Recognition (Spring 2017)

EEE 6512, Image Processing and Computer Vision (Fall 2016)

CNT 6805, Network Science and Applications (Fall 2016)

Awards and Honor

Gartner Group Graduate Fellowship, University of Florida

SIAT Direct Scholarship for Innovation and Creativity, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences

Graduation Thesis Awarded First Prize, Sichuan University

Outstanding Graduate, Sichuan University

Student Mentoring

Christopher Moffitt (Undergraduate student at UFL)

Caleb Bryant (Undergraduate student at UFL)

Aotian Wu (Master 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)