Explore my research, thesis, projects, and more.
My name is Zilin Zeng. I am a recent UCLA alumni who graduated with an M.S. in Electrical and Computer Engineering, concentrating in Signals and Systems!
I’ve worked as a graduate researcher for the Visual Machines Group at UCLA under the direction of Professor Achuta Kadambi, focusing on 3D vision.
I graduated with a B.S. in Audio and Music Engineering from the University of Rochester in 2022.
If the ultimate goal for a neural network is to perceive scenes and objects as humans do, can neural networks also be tricked by visual illusions?
A loudspeaker integrated with artificial intelligence, but it is FLAT!
View Demo Video | Download Demo Video | View Project Website | View Poster | Read Project Report
An audio plugin for the instrument glass harp + a MIDI-controllable glass harp.
This project has been awarded the Professors' Choice Award!
View Demo Video | Download Demo Video | View Poster | Read Project ReportBuilding Neural Networks to classify four distinct motor imagery tasks based on the collected EEG signals.
Leverage acoustic features to automatically classify five regional African American English accents using an XGBoost classifier.
A real-time FM-synthesis drum machine that operates with a MIDI keyboard!
Audio plugin for the classic Ring Modulator guitar pedal