Explanation of variational autoencoders.
I am a Research Engineer at Artificial Intelligence Initiative (A*AI) under A*STAR, Singapore. I have varied interests including but not limited to programming, machine learning and artificial intelligence. Specifically, I find working on imparting human capabilities of understanding language to machines interesting, and hence have been involved in several projects at the nexus of NLP and machine learning. Currently, I am more focus on NLP tasks such as machine comprehension, sequence tagging, commonsense reasoning, and also any other attractive tasks involved machine learning techniques.
A copy of my CV is available here: English version | Chinese version.
WHAT I KNOW
Programming Languages: Python, Java, C/C++ (Prior Exp), Matlab (Prior Exp), Scala (Elementary).
Web Technologies: HTML, JavaScript, CSS, jQuery.
Tools & Platforms: Mac OS X, Linux (Ubuntu), Windows, Google Cloud Platform, Android (Prior Exp).
Frameworks: TensorFlow, Keras, PyTorch, DL4J, Stanford NLP, Spark, ConceptNet, Neo4J and etc.
Research Engineer | Artificial Intelligence Initiative (A*AI)
Science and Engineering Institutes (SCEI), A*STAR, Singapore -- June 2018 - Present
Research Engineer | Social & Cognitive Computing (SCC)
Institute of High Performance Computing (IHPC), A*STAR, Singapore -- July 2016 - May 2018
Collaboration with Temasek Laboratory at Nanyang Technological University (TL@NTU), Singapore.
M.Sc. in Communications Eng., 2015-2016
Nanyang Technological University, Singapore
B.Sc. in Communications Eng., 2011-2015
Dalian University of Technology, China
A human-inspired framework for commonsense knowledge representation and reasoning.
An effectively and flexibly multimodal system to analyze and narrate real world events captured in video.
An unified and accurate deep learning based approach for various sequence labeling tasks such as POS, Chunking, NER, SRL, Punctuation Restoration and etc.
A novel and effective method based on underwater optical model for underwater object visibility enhancement.
An improved and effective method for image enhancement based on retinex theory and dual-tree complex wavelet transform techniques.
Tutorial about how to update multiple tensors using tensorflow scan function.
Some useful commands and tips to raise efficiency under Mac OS and Linux, keep updating!
* Accomplished the Scientific Writing Skills Workshop Courses
Jan. 2019 | Agency of Science, Technology and Research, Singapore | Certificate
1st Runner Up in Artificial Intelligence (AI) Hackathon of A*STAR
Sep. 2018 | Agency of Science, Technology and Research, Singapore | Certificate