Hi! I am Zhanwen Chen, a recently graduated master's student at the Biomedical Elasticity and Acoustic Measurement Laboratory and the Artifficial Intelligence and Visual Analogical Systems Lab at Vanderbilt University.
Research Interest
I am fascinated by one research question: how to develop computational systems that could extract, understand, accumulate, and reason with syntactic knowledge from videos and text? I try to ground this long-term goal to the following problems:
- How to apply both syntactic and semantic knowledge in answering visual-textual questions
- Answering questions with social/emotional reasoning: (ICDL '20)
- Learning with small, well-characterized datasets or by imitation
- How to translate from natural language specifications to programming languages and back
Research Papers
-
Characterizing Datasets for Social Visual Question Answering, and the New TinySocial Dataset
Zhanwen Chen, Shiyao Li, Roxanne Rashedi, Xiaoman Zi, Morgan Elrod-Erickson, Bryan Hollis, Angela Maliakal, Xinyu Shen, Simeng Zhao, Maithilee KundaTo appear in the Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics (ICDL), 2020.
[Paper] -
Noise Suppression in Ultrasound Beamforming Using Convolutional Neural Networks
Zhanwen ChenMaster's Thesis
[Paper] -
Compact Convolutional Neural Networks for Ultrasound Beamforming
Zhanwen Chen, Adam Luchies, Brett ByramIEEE International Ultrasonics Symposium (IUS), 2019
[Paper] | [Code]
Industry Experiences
- Application Developer, Vanderbilt Institute for Clinical and Translational Research
- Full-Stack Web Developer and Data Scientist, Basil Systems Inc.
- Post-Baccalaureate Web Technologist, Five Colleges Inc.
- Software Engineering Intern, Pitney Bowes
- Information Services/Information Technology Intern, Nestle Waters
Awards
- Vanderbilt University Graduate Student Travel Grant to Present Research, 2019
- Inroads Scholarship Award, 2016
- 3rd Place, Area Contest, Toastmasters International Speech Contest
Blog Articles
- Speed Up PyTorch by Building from Source on Ubuntu 18.04
- Install CUDA 10.0 and cuDNN 7.5.0 for PyTorch on Ubuntu 18.04 LTS
- Install OpenCV 4.0.1 from Source on MacOS with Anaconda Python 3.7 to Use SIFT and SURF
- Deploy a Trained RNN/LSTM Model with TensorFlow-Serving and Flask, Part 1: Introduction and Installations