Haizi Yu

According to our database, Haizi Yu authored at least 15 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

A Group-Theoretic Approach to Computational Abstraction: Symmetry-Driven Hierarchical Clustering.

Haizi Yu, Igor Mineyev, Lav R. Varshney

J. Mach. Learn. Res., 2023

Information Lattice Learning.

Haizi Yu, James A. Evans, Lav R. Varshney

J. Artif. Intell. Res., 2023

2022

Learning from One and Only One Shot.

Haizi Yu, Igor Mineyev, Lav R. Varshney, James A. Evans

CoRR, 2022

Accelerated Design and Deployment of Low-Carbon Concrete for Data Centers.

Xiou Ge, Richard T. Goodwin, Haizi Yu, Pablo Romero, Omar Abdelrahman, Amruta Sudhalkar, Julius Kusuma, Ryan Cialdella, Nishant Garg, Lav R. Varshney

Proceedings of the COMPASS '22: ACM SIGCAS/SIGCHI Conference on Computing and Sustainable Societies, Seattle, WA, USA, 29 June 2022, 2022

2021

Orbit Computation for Atomically Generated Subgroups of Isometries of ℤⁿ.

Haizi Yu, Igor Mineyev, Lav R. Varshney

SIAM J. Appl. Algebra Geom., 2021

AI-Aided Co-Creation for Wellbeing.

Haizi Yu, James A. Evans, Donna Gallo, Adam Kruse, William M. Patterson, Lav R. Varshney

Proceedings of the Twelfth International Conference on Computational Creativity, 2021

2020

Human Evaluation of Interpretability: The Case of AI-Generated Music Knowledge.

Haizi Yu, Heinrich Taube, James A. Evans, Lav R. Varshney

CoRR, 2020

2019

Automatic concept learning via information lattices

Haizi Yu

PhD thesis, 2019

2018

A Group-Theoretic Approach to Abstraction: Hierarchical, Interpretable, and Task-Free Clustering.

Haizi Yu, Igor Mineyev, Lav R. Varshney

CoRR, 2018

2017

Probabilistic Rule Realization and Selection.

Haizi Yu, Tianxi Li, Lav R. Varshney

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Illum information.

Ravi Kiran Raman, Haizi Yu, Lav R. Varshney

Proceedings of the 2017 Information Theory and Applications Workshop, 2017

Towards Deep Interpretability (MUS-ROVER II): Learning Hierarchical Representations of Tonal Music.

Haizi Yu, Lav R. Varshney

Proceedings of the 5th International Conference on Learning Representations, 2017

2016

Learning Interpretable Musical Compositional Rules and Traces.

Haizi Yu, Lav R. Varshney, Guy E. Garnett, Ranjitha Kumar

CoRR, 2016

Accounting for Taste: Ranking Curators and Content in Social Networks.

Haizi Yu, Biplab Deka, Jerry O. Talton, Ranjitha Kumar

Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems, 2016

2015

Ranking Designs and Users in Online Social Networks.

Biplab Deka, Haizi Yu, Devin Ho, Zifeng Huang, Jerry O. Talton, Ranjitha Kumar

Proceedings of the 33rd Annual ACM Conference Extended Abstracts on Human Factors in Computing Systems, 2015