Office: 7LE4 Schapiro CEPSR
I am a third-year Ph.D. student in the Electrical Engineering Department at Columbia University, as part of the LabROSA, working with Professor Dan Ellis. I also work closely with Professor John Paisley, Dr. Matt Hoffman and Dr. Gautham Mysore. My CV is available here, as of November 2014. Prior to that, I obtained my master's degree in Music and Technology program at Carnegie Mellon University, working with Professor Roger Dannenberg in the School of Computer Science, where I was part of the Computer Music Group.
Ph.D. Candidate, Electrical Engineering, Columbia University, in progress
M.S., Music and Technology, Carnegie Mellon University, May 2012
B.S., Computer Science, Fudan University, Jun 2010
Statistical modeling/machine learning and application to audio signals and texts
Bayesian modeling and (approximate) inference
Music information retrieval
Some of my past research projects can be found here.
Research Intern, Adobe Creative Technology Laboratory, Adobe Inc., May 2013 – Aug 2013, May 2014 – Aug 2014
Software Engineer Development Intern, Digital Delivery Team, Amazon.com, May 2011 – Aug 2011
Design and implement an efficient scheduling algorithm for periodicals delivery (deployed in production).
Peer-reviewed Journal Articles
Roger B. Dannenberg, Nicolas E. Gold, Dawen Liang, Guangyu Xia, Computer Music Journal, 38(2):36-50, 2014, MIT Press.
Roger B. Dannenberg, Nicolas E. Gold, Dawen Liang, Guangyu Xia, Computer Music Journal, 38(2):51-62, 2014, MIT Press.
Peer-reviewed Conference Papers and Workshop Contributions
Dawen Liang and Matthew D. Hoffman, NIPS Workshop on Advances in Variational Inference, 2014.
Dawen Liang, John Paisley, and Daniel P. W. Ellis, International Society for Music Information Retrieval (ISMIR), 2014.
Colin Raffel, Brian McFee, Eric J. Humphrey, Justin Salamon, Oriol Nieto, Dawen Liang, and Daniel P. W. Ellis, International Society for Music Information Retrieval (ISMIR), 2014.
Dawen Liang, Daniel P. W. Ellis, Matthew D. Hoffman, and Gautham J. Mysore, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2014.
Dawen Liang, Matthew D. Hoffman, and Gautham J. Mysore, International Conference on Learning Representations (ICLR), 2014.
Dawen Liang, Matthew D. Hoffman, and Daniel P. W. Ellis, International Society for Music Information Retrieval (ISMIR), 2013.
Guangyu Xia, Dawen Liang, Roger B. Dannenberg, and Mark J. Harvilla, International Society for Music Information Retrieval Conference (ISMIR), 2011.
Dawen Liang, Guangyu Xia, and Roger B. Dannenberg, New Interfaces for Musical Expression (NIME), 2011.
Teaching Assistant, 15-323 Computer Music Systems and Information Processing by Professor Roger Dannenberg, Carnegie Mellon University, Spring 2012
Here are some notes regarding some topics I found interesting. I wrote these just for fun (and I think they will be useful sometime in the future). Therefore, there might be mistakes/errors in these notes. If you find any problem, please let me know.
A proof that Maximum Likelihood Estimation (MLE) is biased for variance estimator.
A note that shows some useful properties for matrix derivative.
Some technical details for the Expectation Maximization (EM) algorithm.
Besides hacking and research, I am interested in art, especially music. I play piano and keyboard synthesizer. I participated in several bands during undergrad as keyboardist: a Pink Floyd tribute band named 'Outside the Wall’ and an original progressive rock band which composed several original songs.
The states in US where I've visited, or at least had an airplane connection…
visited 17 states (34%)
Create your own visited map of The United States