Jingjie Zhang | 张景捷
Alumnus, M.A. '20
Center for Computer Research in Music and Acoustics (CCRMA)
Stanford University
Alumnus, M.A. '20
Center for Computer Research in Music and Acoustics (CCRMA)
Stanford University
Real-time wave digital modeling of multi-stage vacuum tube guitar amplifier circuits using modified block-wise method.
A series of studies on combining delay-based audio effects with real-time pitch-shifting techniques (time-scale modification of audio signal using short-time Fourier analysis & resynthesis).
Resolving guitarists’ limited range of movements on big stages by a three-terminal digital guitar signal processor that enables users to switch & edit effect presets through wireless connections.
A vivid interpretation of audio processing system design based on Unity, ChucK and Chunity.
A hexagonal step sequencer & a chess-like strategy game based on Unity, ChucK and Chunity.
Time-domain and frequency-domain sound visualization using OpenGL & RtAudio, demonstrated with ChucK-generated music.
An experiment-based study of the possible relationship between musicians' tempo persistence ability & their musical background.
Extracting "waveforms" in lake photos using edge detection & reconstructing audio signals through data sonification.
A ping-pong delay effect using ChucK, demonstrated with music inspired by the video game Assassin's Creed: Revelations.
[1]
J. Zhang and J. O. Smith III,
"
Real-Time Wave Digital Simulation of Cascaded Vacuum Tube Amplifiers using Modified Block-Wise Method
,"
in Proc. Int. Conf. Digital Audio Effects (DAFx-18), Aveiro, Portugal, Sep 4–8, 2018.
[2]
J. Zhang,
"
A Portable and Dismountable Wireless MIDI Switching Device
"
(
English Translation
),
Chinese Patent No.201621074252.X, issued May 31, 2017.
[3]
N. Jing, S. Jiang, S. Chen, J. Zhang, L. Jiang, C. Li and X. Liang,
"
Bank Stealing for a Compact and Efficient Register File Architecture in GPGPU
,"
in IEEE Trans. Very Large Scale Integr. (VLSI) Syst., vol. 25, no. 2, pp. 520-533, 2017.
[4]
T. Zhang, J. Zhang, W. Shu, M. Wu and X. Liang,
"
Efficient Graph Computation on Hybrid CPU and GPU Systems
,"
in J. Supercomputing, vol. 71, no. 4, pp. 1563-1586, 2015.