Ranking Designs and Users in Online Social Networks. - Biplab Deka; Haizi Yu; Devin Ho; Zifeng Huang; Jerry O. Talton; Ranjitha Kumar (CHI Extended Abstracts, 2015)

Accounting for Taste: Ranking Curators and Content in Social Networks. - Haizi Yu; Biplab Deka; Jerry O. Talton; Ranjitha Kumar (CHI, 2016)

Learning Interpretable Musical Compositional Rules and Traces. - Haizi Yu; Lav R. Varshney; Guy E. Garnett; Ranjitha Kumar (CoRR, 2016)

Towards Deep Interpretability (MUS-ROVER II): Learning Hierarchical Representations of Tonal Music. - Haizi Yu; Lav R. Varshney (ICLR (Poster), 2017)

Illum information. - Ravi Kiran Raman; Haizi Yu; Lav R. Varshney (ITA, 2017)

Probabilistic Rule Realization and Selection. - Haizi Yu; Tianxi Li; Lav R. Varshney (NIPS, 2017)

A Group-Theoretic Approach to Abstraction: Hierarchical, Interpretable, and Task-Free Clustering. - Haizi Yu; Igor Mineyev; Lav R. Varshney (CoRR, 2018)

Automatic concept learning via information lattices - Haizi Yu (2019)

Human Evaluation of Interpretability: The Case of AI-Generated Music Knowledge. - Haizi Yu; Heinrich Taube; James A. Evans; Lav R. Varshney (CoRR, 2020)

AI-Aided Co-Creation for Wellbeing. - Haizi Yu; James A. Evans; Donna Gallo; Adam Kruse; William M. Patterson; Lav R. Varshney (ICCC, 2021)

Orbit Computation for Atomically Generated Subgroups of Isometries of ℤn. - Haizi Yu; Igor Mineyev; Lav R. Varshney (SIAM J. Appl. Algebra Geom., 2021)

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 (COMPASS, 2022)

Learning from One and Only One Shot. - Haizi Yu; Igor Mineyev; Lav R. Varshney; James A. Evans (CoRR, 2022)

Information Lattice Learning. - Haizi Yu; James A. Evans; Lav R. Varshney (J. Artif. Intell. Res., 2023)

A Group-Theoretic Approach to Computational Abstraction: Symmetry-Driven Hierarchical Clustering. - Haizi Yu; Igor Mineyev; Lav R. Varshney (J. Mach. Learn. Res., 2023)

Semantic Compression with Information Lattice Learning. - Haizi Yu; Lav R. Varshney (ISIT (Workshops), 2024)