Haizi Yu - RankMe

20 papers A* 1C 2Misc 1Journal 11Unranked 4

Year	Rank	Type	Title / 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