Yu (Demi) Qin

Yu (Demi) Qin

PhD Candidate in Computer Science doing Topological Data Analysis and Visualization

Publication

[1]Yu Qin, Carola Wenk, Fasy, Brittany Terese and Brian Summa. ”A Domain-Oblivious Approach for Learning Concise Representations of Filtered Topological Spaces.” IEEE Transactions on Visualization and Computer Graphics (Proceedings IEEE VIS 2021).
Website

[2]Fasy, Brittany Terese, Yu Qin, Brian Summa, and Carola Wenk. ”Comparing Distance Metrics on Vectorized Persistence Summaries.” NeurIPS 2020 Workshop: Topological Data Analysis and Beyond.
PDF

[3]Liu, Yanjun, Junjian Huang, Yu Qin, and Xinbo Yang. ”Finite-time synchronization of complex-valued neural networks with finite-time distributed delays.” Neurocomputing 416 (2020): 152-157.

Talks & Activities
  • VIS 2021. Oral presentation: A Domain-Oblivious Approach for Learning Concise Representations of Filtered Topological Spaces, Virtual 2021.
  • IMSI Workshop. Poster presentation: Comparing Distance Metrics on Vectorized Persistence Summaries, University of Chicago(remote), IL 2021.
  • NeurIPS Workshop on Topological Data Analysis and Beyond. Poster presentation: Comparing Distance Metrics on Vectorized Persistence Summaries, Virtual 2020.
  • Tulane Computer Science Department. Interdisciplinary project presentation: Fast Prostate Cancer Diagnosis using Topological Data Analysis, Tulane University, LA 2020.
Grant Project

QUBBD: Quantifying Morphologic Phenotypes in Prostate Cancer - Developing Topological Descriptors for Machine Learning Algorithms, NSF-DMS 1664848

EAGER: Scalable, Content-Based, Domain-Agnostic Search of Scientific Data through Concise Topological Representations, NSF-IIS 2136744

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秦 瑜
Demi