Education
- Ph.D. in Computer Science, University of Washington
Work experience
- 2022-present: Assistant Professor of Computer Science
- University of Maryland
- Instructor of CMSC 421 Fall 2022-2023: Introduction to Artificial Intelligence
- Instructor of CMSC 828A Spring 2023: Fantastic Machine Learning Paradigms and Where to Use Them
- 2021-2022: Visiting Research Scientist
- 2013-2021: Research Assistant
- University of Washington
- Supervisor: Prof. Jeff A. Bilmes
- Spring 2019: Teaching Assistant
- University of Washington
- ECE 596A Spring 2019: Advanced introduction to Neural Networks
- Instructor: Prof. Jeff A. Bilmes
- Winter 2019: Teaching Assistant
- University of Washington
- ECE 596A Winter 2019: Advanced introduction to machine learning
- Instructor: Prof. Jeff A. Bilmes
- Winter 2014: Teaching Assistant
- University of Washington
- CSEP 546 Winter 2014: Data Mining/Machine Learning
- Instructor: Prof. Carlos Guestrin
- Summer 2015: Research Intern
- Yahoo! Labs, Sunnyvale
- Supervisor: Dr. Hua Ouyang and Prof. Yi Chang
- Summer 2014: Research Intern
- Microsoft Research, Redmond
- Supervisor: Dr. Lin Xiao
- 2011-2013: Research Assistant
- University of Technology, Sydney (UTS)
- Supervisor: Prof. Dacheng Tao
- 2009-2011: Research Assistant
- Nanyang Technological University (NTU)
- Supervisor: Prof. Dacheng Tao
Publications
A full list of publications can be found here.
Preprints can be found on my Google Scholar page.
Teaching
Service
- Student Travel Award Chair for
- The Wed Conference (WWW) 2025
- Meta-Reviewer or Area Chair for
- ICLR 2025
- ICPR 2024
- IJCAI 2023
- WACV 2022, 2023, 2024
- SIGKDD 2022
- AAAI 2021
- Reviewer for
- IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI)
- Journal of Machine Learning Research (JMLR)
- Machine Learning (Springer)
- Neural Computation
- IEEE Transactions on Knowledge and Data Engineering (T-KDE)
- IEEE Transactions on Neural Networks and Learning Systems (T-NNLS)
- IEEE Transactions on Systems, Man, and Cybernetics (T-SMC)
- IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT)
- IEEE Communications Letters, Pattern Recognition (Elsevier)
- Computational Statistics and Data Analysis (CSDA) (Elsevier)
- Information Sciences (INS) (Elsevier)
- Neurocomputing (Elsevier)
- Signal Processing (Elsevier)
- Knowledge and Information Systems (KAIS)(Springer)
- Pattern Analysis and Applications (PAAA) (Springer)
- Neural Processing Letters (NEPL) (Springer)
- Reviewer/Program Committee Member for
- Annual Conference on Neural Information Processing System (NeurIPS)
- International Conference on Machine Learning (ICML)
- International Conference on Learning Representations (ICLR)
- The Conference on Uncertainty in Artificial Intelligence (UAI)
- International Conference on Artificial Intelligence and Statistics (AISTATS)
- AAAI Conference on Artificial Intelligence (AAAI)
- International Joint Conference on Artificial Intelligence (IJCAI)
- ACM SIGKDD Conference on Knowledge Discovery and Data Mining (SIGKDD)
- SIAM International Conference on Data Mining (SDM)
- IEEE International Conference on Data Mining (ICDM)
- IEEE International Conference on Multimedia and Expo (ICME)
- IEEE Pacific-Rim Conference on Multimedia (PCM)
- ACM Conference on Information and Knowledge Management (CIKM)
- IEEE International Conference on Computer Vision and Pattern Recognition (CVPR),
- IEEE International Conference on Computer Vision (ICCV)
- International Conference on Pattern Recognition (ICPR)
- ACM Multimedia (MM)
Awards
- 2020: IEEE Computer Society Technical Committee on Scalable Computing (TCSC) Most Influential Paper Award for: Tianyi Zhou and Dacheng Tao, “GoDec: Randomized Low-rank & Sparse Matrix Decomposition in Noisy Case”, Twenty-Eighth International Conference on Machine Learning (ICML), Bellevue, WA, USA, 2011.
- 2013: International Conference on Data Mining (ICDM) Best Student Paper Award for: Tianyi Zhou, Wei Bian, and Dacheng Tao, “Divide-and-Conquer Anchoring for Near Separable Nonnegative Matrix Factorization and Completion in High Dimensions”, IEEE International Conference on Data Mining (ICDM), Dallas, TX, USA, 2013.
- 2007: The Meritorious winner of Mathematical Contest in Modeling (MCM) of COMAP (Top 10% of teams).