Welcome to my personal homepage! I am a Postdoctoral Associate in Computer Science at Cornell University working with Kilian Weinberger and Mark Campbell. My research interests are in machine learning and its applications to computer vision, autonomous driving, natural language processing, artificial intelligence, and health care.
Prior to joining Cornell, I did my PhD in Computer Science at University of Southern California (USC). My adviser was Fei Sha and I had a great time working with many excellent people in the TEDS lab. Before that, I obtained a MS degree in Communication Engineering at National Taiwan University, and a BS degree in Communication Engineering at National Chiao Tung University. For more resources and information, please visit my GitHub and my former homepage.
I will be joining the Department of Computer Science and Engineering (CSE) at the Ohio State University (OSU) in 2019 Fall as an assistant professor.
CV and Google scholar pageHere are my CV (Last update: 11/2018) and Google scholar page.
12/2018 - 2 arXiv preprint papers, one on autonomous driving and the other on unified zero-shot learning.
10/2018 - A new github repository of our zero-shot learning algorithms (including SynC, EXEM, and the AUSUC metric) is released. [Link]
08/2018 - Start my postdoc at Cornell University
07/2018 - Invited talk at USC ISI on "Visual Question Answering--the Good, the Bad, and the Ugly" [Slides]
06/2018 - Successfully defending my thesis on "Transfer Learning for Intelligent Systems in the Wild" [Slides]
06/2018 - Attending CVPR for two poster presentation and doctoral consortium
02-04/2018 - Invited talks at NVIDIA, ASU, OSU, Cornell, TTIC, U of Arizona, and Facebook AI on "Transfer Learning towards Intelligent Systems in the Wild" [Slides]
03/2018 - Invited talk at Google on "Zero-shot Learning for Visual Recognition in the Wild" [Slides]
02/2018 - 2 papers accepted by CVPR 2018, and 1 paper accepted by NAACL 2018
01/2018 - Become a PhD candidate
07/2017 - 1 paper accepted by ICCV 2017
05/2017 - Summer intern in Microsoft Research Redmond
04/2017 - 1 arXiv preprint paper
04/2017 - Codes for our ECCV 2016 paper on LSTM-based video summarization are available now
01/2017 - Invited talks at NCTU, NTHU, and Academia Sinica on learning to share and zero-shot learning
10/2016 - Attending ECCV for an spotlight and poster presentation
08/2016 - Codes and data of our zero-shot learning paper in CVPR 2016 are released.
08/2016 - I will attend deep learning summer school in Montreal, CA.
07/2016 - 2 papers accepted by ECCV 2016
07/2016 - Attending CVPR for an oral and poster presentation
06/2016 - 3 arXiv preprint papers
04/2016 - 2 papers accepted by CVPR 2016