Research
My research interestes include Astrostatistics, Spatial Statistics, Text Mining, Social Network Analysis, Scalable Bayes, Stochastic Process, Agent-based Model, Social Class Mobility, and Neuroscience.
Ongoing Projects:
Storm Surge
Collaborating with Whitney Huang (Univ. of Victoria), Taylor Asher (UNC-Chapel Hill) et al.
Description: Focus on advancing emulators/surrogates for surge models and on uncertainty quantification/attribution in existing methods.
Data Fusion
Collaborating with Jong-Min Kim (Univ. of Minnesota-Morris), Dongchu Sun, Chong He (Univ. of Missouri), Jim Burger (Duke Univ.), et al.
Description: Infer upon the parameters/inputs to a computer model and obtain improved inference/predictions on process.
Topic Modeling
Collaborating with David Banks (Duke Univ.)
Description: Use different Topic Modeling approaches on Political Blogs to see the performance of diverse methods.
Music Mining
Collaborating with Ernest Fokoue (RIT)
Description: Employ text mining methods in music field to explore automatic improvisation detection, genre identification and elements of the mood of the piece. We introduce the idea of representing any given piece of music as a collection of “musical words” that we codenamed “muselets”, which are essentially musical words of various lengths. We are now working to build a full scale complete dictionary of muselets.
Publications
Peer-reviewed:
[1] Wu, Q., Fokoue, E., & Kudithipudi, D. (2018). An Ensemble Learning Approach to the Predictive Stability of Echo State Networks. Journal Of Informatics And Mathematical Sciences, 10(1 & 2), 181 - 199. doi: 10.26713/jims.v10i1-2.827 [link]
Other:
[2] Wu, Q., Fokoue, E. (2018). Naive Dictionary On Musical Corpora: From Knowledge Representation To Pattern Recognition. arXiv:1811.12802 (Preprint) [link]
[3] Wu, Q. (2018). Statistical Aspects of Music Mining: Naive Dictionary Representation. Thesis. RIT Scholar Works. [link]
[4] Wu, Q., Fokoue, E., & Kudithipudi, D. (2018). On the Statistical Challenges of Echo State Networks and Some Potential Remedies. arXiv:1802.07369 (Preprint) [link]
[5] Wu, Q., Fokoue, E., R. G. A. (2017). Epileptic seizure recognition data set. UC Irvine Machine Learning Repository [link] [code]
Talks
Joint Statistical Meetings 2019, Denver, Colorado [Jul.2019]
Contributed, Exploratory analysis of Hurricane Storm Surge
IMS/ASA Spring Research Conference, Virginia Tech [May.2019]
Poster Session, Uncertainty Quantification in Tropical Cyclone Climatology
Statistical Perspectives on Uncertainty Quantification (SPUQ) Workshop [May.2019]
Poster Session, Exploratory Analysis of Tropical Cyclone Climatology
6th Bayesian, Fiducial, and Frequentist (BFF) Conferences [Apr.2019]
Poster Session, Bayesian and Unsupervised Machine Learning Machines for Jazz Music Analysis
8th Annual Conference of the UPSTAT New York Chapters of ASA [Apr.2019]
Poster Session,Text Mining and Music Mining
SAMSI Model Uncertainty Program Storm Surge Working Group [Nov.2018]
Seminar Talk, Initial Exploratory Analysis of Synthetic Storm Tracks
SAMSI Model Uncertainty Program Data Fusion Working Group [Oct.2018]
Seminar Talk, Data Fusion for Music Mining
International Conference on Advances in Interdisciplinary Statistics and Combinatorics [Oct.2018]
Invited, Machine Learning for Music Mining with LDA Model, SAMSI Academic Session
Data Science Research Group in Rochester Institute of Technology [Sep.2018]
Seminar Talk, Statistical Aspects of Music Mining
Cornell Day of Statistics 2018 [Sep.2018]
Poster Session, Bayesian and Unsupervised Machine Learning Machines for Jazz Music Analysis
Joint Statistical Meetings 2018 -Vancouver, Canada [Jul.2018]
Contributed, Bayesian and Unsupervised Machine Learning Machines for Jazz Music Analysis
7th Annual Conference of the UPSTAT New York Chapters of ASA [Apr.2018]
Contributed, Music Mining In Topic Modeling Approach For Improvisational Learning
Graduate Seminar in Rochester Institute of Technology [Feb.2018]
Seminar Talk, Topic Modeling with LDA Tutorial
Graduate Showcase in Neuroscience and Signal Processing Session [Nov.2017]
Contributed, Statistical Challenges of Echo State Networks
6th Annual Conference of the UPSTAT New York Chapters of ASA [Nov.2017]
Contributed, Statistical Aspects about Echo State Networks