Xiao Yang (杨骁)
Ph.D. (resume)
Department of Computer Science and Engineering,Penn State University
Email: xiaoyang dot thu at gmail dot com
Social Media: LinkedIn, Instagram, Strava
Ph.D. (resume)
Department of Computer Science and Engineering,I obtained my Ph.D. degree (yeah!!!) in Computer Science and Enginnering at Pennsylvania State University in August, 2019. I work with Prof. Daniel Kifer and Prof. C. Lee Giles. My research interests lie broadly in deep learning and computer vision, with a focus on object detection and sequence-to-sequence modeling. Currently I am working on scene text recognition, detection and generative adversarial networks (GAN) for text.
Prior to joining Penn State, I obtained my Bachelor degree from Department of Automation, Tsinghua University.
In my spare time, I enjoy riding mountain bikes and traveling.
Ph.D. in Computer Science and Engineering
Advisor: Daniel Kifer and C. Lee Giles
2014 - 2019
Bachelor of Engineering in Automation
2010 - 2014
Software Engineer
Research Intern
Mentor: Zheyun Feng and Pengchong Jin
Research Intern
Mentor: Madian Khabsa and Ahmed Hassan Awadallah
Research Intern
Mentor: Ersin Yumer and Paul Asente
Research Assistant at Institute of Operations Research and Statistics
Advisor: Hai Jiang
Selected Publications
Xiao Yang, Madian Khabsa, Miaosen Wang, Wei Wang, Ahmed Hassan Awadallah, Daniel Kifer, C. Lee Giles. Adversarial Training for Community Question Answer Selection Based on Multi-scale Matching. AAAI'19.
Xiao Yang, Ahmed Hassan Awadallah, Madian Khabsa, Wei Wang, Miaosen Wang. Characterizing and Supporting Question Answering in Human-to-Human Communication. SIGIR'18.
Chen Liang, Xiao Yang, Neisarg Dave, Drew Wham, Bart Pursel, and C. Lee Giles. Distractor Generation for Multiple Choice Questions Using Learning to Rank. NAACL-HLT'18 (BEA Workshop).
Xiao Yang, Dafang He, Zihan Zhou, Daniel Kifer, C. Lee Giles. Improving Offline Handwritten Chinese Character Recognition by Iterative Refinement. ICDAR'17.
Xiao Yang, Dafang He, Zihan Zhou, Daniel Kifer, C. Lee Giles. Learning to Read Irregular Text with Attention Mechanism. IJCAI'17.
Xiao Yang, Ersin Yumer, Paul Asente, Mike, Kraley, Daniel Kifer, C. Lee Giles. Learning to Extract Semantic Structure from Documents Using Multimodal Fully Convolutional Neural Networks. CVPR'17 (Spotlight).
Dafang He, Xiao Yang, Chen Liang, Zihan Zhou, Alex Ororbia, Daniel Kifer, and C. Lee Giles. Multi-scale FCN with Instance Aware Segmentation for Arbitrary Oriented Word Spotting In The Wild. CVPR'17.
Xiao Yang, Dafang He, Wenyi Huang, Alex Ororbia, Zihan Zhou, Daniel Kifer, C. Lee Giles. Smart Library: Identifying Books in a Library using Richly Supervised Deep Scene Text Reading. JCDL'17 (Short).
Dafang He, Xiao Yang, Wenyi Huang, Zihan Zhou, Daniel Kifer, C. Lee Giles. Aggregating Local Context for Accurate Scene Text Detection. ACCV'16.
Wenyi Huang, Dafang He, Xiao Yang, Zihan Zhou, Daniel Kifer, C. Lee Giles. Detecting Arbitrary Oriented Text in the Wild with a Visual Attention Model. ACM MM'16 (Short).
Anbang Xu**, Xiao Yang**, Huaming Rao, Wai-Tat Fu, Shih-Wen Huang, Brian P. Bailey. Show me the Money! An Analysis of Project Updates during Crowdfunding Campaigns. SIG CHI'14.
(*alphabetic author order, **equal contribution)
Last updated: 2018-12-01