Haizi Yu

20 papers A* 1C 2Misc 1Journal 11Unranked 4
YearRankTypeTitle / Venue / Authors
2024 — conf
Semantic Compression with Information Lattice Learning.
ISIT (Workshops)
Haizi Yu, Lav R. Varshney
2024 J jnl
Semantic Compression with Information Lattice Learning.
CoRR
Haizi Yu, Lav R. Varshney
2023 J jnl
A Group-Theoretic Approach to Computational Abstraction: Symmetry-Driven Hierarchical Clustering.
J. Mach. Learn. Res.
Haizi Yu, Igor Mineyev, Lav R. Varshney
2023 J jnl
Information Lattice Learning.
J. Artif. Intell. Res.
Haizi Yu, James A. Evans, Lav R. Varshney
2022 C conf
Accelerated Design and Deployment of Low-Carbon Concrete for Data Centers.
COMPASS
Xiou Ge, Richard T. Goodwin, Haizi Yu, Pablo Romero, Omar Abdelrahman, Amruta Sudhalkar, Julius Kusuma, Ryan Cialdella, Nishant Garg, Lav R. Varshney
2022 J jnl
Accelerated Design and Deployment of Low-Carbon Concrete for Data Centers.
CoRR
Xiou Ge, Richard T. Goodwin, Haizi Yu, Pablo Romero, Omar Abdelrahman, Amruta Sudhalkar, Julius Kusuma, Ryan Cialdella, Nishant Garg, Lav R. Varshney
2022 J jnl
Learning from One and Only One Shot.
CoRR
Haizi Yu, Igor Mineyev, Lav R. Varshney, James A. Evans
2021 C conf
AI-Aided Co-Creation for Wellbeing.
ICCC
Haizi Yu, James A. Evans, Donna Gallo, Adam Kruse, William M. Patterson, Lav R. Varshney
2021 J jnl
Orbit Computation for Atomically Generated Subgroups of Isometries of ℤ
SIAM J. Appl. Algebra Geom.
Haizi Yu, Igor Mineyev, Lav R. Varshney
2020 J jnl
Human Evaluation of Interpretability: The Case of AI-Generated Music Knowledge.
CoRR
Haizi Yu, Heinrich Taube, James A. Evans, Lav R. Varshney
2019 — —
Automatic concept learning via information lattices
Haizi Yu
2019 J jnl
Orbit Computation for Atomically Generated Subgroups of Isometries of Z
CoRR
Haizi Yu, Igor Mineyev, Lav R. Varshney
2018 J jnl
A Group-Theoretic Approach to Abstraction: Hierarchical, Interpretable, and Task-Free Clustering.
CoRR
Haizi Yu, Igor Mineyev, Lav R. Varshney
2017 Misc conf
Illum information.
ITA
Ravi Kiran Raman, Haizi Yu, Lav R. Varshney
2017 — conf
Probabilistic Rule Realization and Selection.
NIPS
Haizi Yu, Tianxi Li, Lav R. Varshney
2017 J jnl
Probabilistic Rule Realization and Selection.
CoRR
Haizi Yu, Tianxi Li, Lav R. Varshney
2017 — conf
Towards Deep Interpretability (MUS-ROVER II): Learning Hierarchical Representations of Tonal Music.
ICLR (Poster)
Haizi Yu, Lav R. Varshney
2016 A* conf
Accounting for Taste: Ranking Curators and Content in Social Networks.
CHI
Haizi Yu, Biplab Deka, Jerry O. Talton, Ranjitha Kumar
2016 J jnl
Learning Interpretable Musical Compositional Rules and Traces.
CoRR
Haizi Yu, Lav R. Varshney, Guy E. Garnett, Ranjitha Kumar
2015 — conf
Ranking Designs and Users in Online Social Networks.
CHI Extended Abstracts
Biplab Deka, Haizi Yu, Devin Ho, Zifeng Huang, Jerry O. Talton, Ranjitha Kumar