Xueyu Mao (毛学宇)

Applied Scientist Amazon 501 Fairview Ave N Seattle, WA 98109 Emails:

   [Another me]

Biography

I'm currently an Applied Scientist at Amazon. I received my Ph.D. in Computer Science from Department of Computer Science, University of Texas at Austin in 2020, where I was very fortunate to be advised by Prof. Purnamrita Sarkar and co-advised by Prof. Deepayan Chakrabarti. Before that I got my bachelor degree in Information Engineering at School of Electronics, Information and Electrical Engineering, Shanghai Jiao Tong University (SJTU) with highest honor in 2014. I was a member of the Institute of Wireless Communication and Technology under the guidance of Prof. Xinbing Wang at SJTU.

My research interests are in statistical machine learning.

Publications

• Consistent Nonparametric Methods for Network Assisted Covariate Estimation. [Paper] [Technical Report] [Spotlight Talk] [poster] [BibTeX]
  Xueyu Mao, Deepayan Chakrabarti, and Purnamrita Sarkar,
  in International Conference on Machine Learning, 2021.

• Overlapping Clustering Models, and One (class) SVM to Bind Them All. [arXiv][Spotlight Talk] [code] [poster] [BibTeX]
  Xueyu Mao, Purnamrita Sarkar, and Deepayan Chakrabarti,
  in Neural Information Processing Systems, 2018. (Spotlight presentation)

• Estimating Mixed Memberships with Sharp Eigenvector Deviations. [arXiv] [Data & Code] [BibTeX]
  Xueyu Mao, Purnamrita Sarkar, and Deepayan Chakrabarti,
  in Journal of the American Statistical Association, Theory and Methods (JASA-T&M).
  - Contributed Talk, NIPS Workshop on Advances in Modeling and Learning Interactions from Complex Data, 2017.

• On Mixed Memberships and Symmetric Nonnegative Matrix Factorizations. [arXiv] [Talk (pwd:icml2017)] [Data & Code] [BibTeX]
  Xueyu Mao, Purnamrita Sarkar, and Deepayan Chakrabarti,
  in International Conference on Machine Learning, 2017.
  - Poster presentation, Nonparametric Statistics Workshop, 2016.

Industrial Applications

• Training Streaming Factorization Machines with Alternating Least Squares. [PDF]
  Xueyu Mao, Saayan Mitra, Sheng Li
  in ACM SIGIR, 2019.

• Feature Selection for FM-Based Context-Aware Recommendation Systems. [PDF]
  Xueyu Mao, Saayan Mitra, Viswanathan Swaminathan
  in IEEE ISM, 2017.

Undergraduate Research

• The collocation of measurement points in large open indoor environment. [PDF] [Technical Report] [Slides]
  Kaikai Sheng, Zhicheng Gu, Xueyu Mao, Xiaohua Tian, Weijie Wu, Xiaoying Gan, and Xinbing Wang,
  in IEEE INFOCOM, 2015.

• Answer Inference for Crowdsourcing based Scoring. [PDF]
  Kaikai Sheng, Zhicheng Gu, Xueyu Mao, Xiaohua Tian, Xiaoying Gan, and Xinbing Wang,
  in IEEE GLOBECOM, 2014.

Working Experience

• Applied Scientist, Amazon, Seattle, 2020 - Present

• Research Intern, Cognitive Computing Lab, Baidu Research, Beijing, Summer 2019

• Data Science Research Intern, BigData Experience Lab, Adobe Research, San Jose, Summer 2017

• (Research) Data Scientist Intern, BigData Experience Lab, Adobe Research, San Jose, Summer 2016

Teaching Experience

• Teaching Assistant, CS 363D: Introduction to Data Mining, UT Austin, Spring 2020

• Teaching Assistant, CS 329E: Elements of Data Analytics, UT Austin, Fall 2019

• Teaching Assistant, CS 378H: Introduction to Data Mining: Honors, UT Austin, Spring 2019

• Teaching Assistant, CS 363D: Introduction to Data Mining, UT Austin, Fall 2018

• Teaching Assistant, SDS 383C: Statistical Modeling I, UT Austin, Fall 2017

• Teaching Assistant, CS 378H: Introduction to Data Mining: Honors, UT Austin, Spring 2017

• Teaching Assistant, CS 363D: Introduction to Data Mining, UT Austin, Spring 2016

• Teaching Assistant, CS 302: Computer Fluency, UT Austin, Fall 2015

• Teaching Assistant, CS 363D/SDS 358: Statistical Learning and Data Mining, UT Austin, Spring 2015

• Teaching Assistant, CS 302: Computer Fluency, UT Austin, Fall 2014

Honors and Awards

• SDS Graduate Fellow, UT Austin (2017)

• Graduate School Professional Development Awards, UT Austin (2017, 2018)

• Travel Awards (ICML 2017, NeurIPS 2018, UTCS)

• NSF travel support for Nonparametric Statistics Workshop (2016)

• Shanghai Outstanding Graduate (2014)

• National Scholarship of China (2011, 2012, 2013)

• Academic Excellence Scholarship (First-class), SJTU (2011, 2013)

• Academic Excellence Scholarship (Second-class), SJTU (2012)

• Merit Student, SJTU (2011)

Pronunciation

Pronunciation of my name on Youtube: Xue (sh EW eh), Yu (ü), Mao (m ow)