I am a fifth year Ph.D. student in the department of Computer Science at Boston University, advised by Emily Whiting. My academic
interests include computational fabrication and computer graphics.
Before becoming a Ph.D. student, I graduated from Boston University in 2018 with a M.S. in Computer Science.
And during my undergraduate at Soochow University (Mainland), I studied in Telecommunication Engineering.
You can find more about me at Here.
This paper explores a system for assembling structures by dropping block components into place. During and after assembly, the blocks are held together by geometric interlock, so that fasteners or mortar are only needed to bind the final block to one of its neighbors.
This work addresses the 3D digital restoration of three ancient musical instruments that come from different periods and in different states of preservation. Their voices can now be heard thanks to as many multidisciplinary projects. Possible approaches to the simulation of the sounds that these instruments could generate are discussed in relation to different aims and contexts.
This paper presents a method of computing free motions of a planar assembly of rigid bodies connected by loose joints. Potential applications include analysis of collections of modular robots, structural stability perturbation analysis, tolerance analysis for mechanical systems, and formation control of mobile robots.
Best Paper Award of the 8th International Conference on Culture and Computing
In this research project, we are focusing on reconstruction of a pretty damaged Roman musical instrument piece, found in Vighenza(Italy). The pieces composing the instrument were first digitized by means of a structured light system, then virtually restored and recomposed applying a on-purpose developed algorithm. Finally, some sounds coherent with the geometry of the reconstructed model were simulated using a physically-based synthesis approach.
In this project, latent vector based 3D model generated models are edited to 3D printable models and get printed out. Models are generated from feature parameters and also these models are designed by computer itself. This is a course project in CS591W1 Computational Fabrication class.
Computer can play with itself! In this project we combined image processing with deep learning, and trained a computer which can play racing game! This is a course project in CS585 Image and Video Computing class. You can find our report here.
Introduction to Computer Graphics. Teaching Fellow
Introduction to Computer Graphics. Teaching Fellow
Computational Fabrication. Teaching Fellow
Software Engineering. Teaching Fellow
Concepts of programming languages. Teaching Assistant
I was a student of CS585 Image and Video Computing at 2017 Fall taught by Prof. Margrit Betke.