2 citations · 2 across the 4 of their papers we have counts for
4 papers
Uncertainty-Calibrated Recommendations for Low-Active Users
Bob Junyi Zou, Sai Li, Tianyun Sun +2
A fundamental challenge in recommender systems is balancing reliability for Low-Active Users (LAUs) with diversity for High-Active Users (HAUs). The key to this balance lies in qua…
GRIP2: A Robust and Powerful Deep Knockoff Method for Feature Selection
Bob Junyi Zou, Lu Tian
Identifying truly predictive covariates while strictly controlling false discoveries remains a fundamental challenge in nonlinear, highly correlated, and low signal-to-noise regime…
Automatic and Structure-Aware Sparsification of Hybrid Neural ODEs
Bob Junyi Zou, Lu Tian
Hybrid neural ordinary differential equations (neural ODEs) integrate mechanistic models with neural ODEs, offering strong inductive bias and flexibility, and are particularly adva…
Hybrid Neural ODE Causal Modeling and an Application to Glycemic Response
Bob Junyi Zou, Matthew E. Levine, Dessi P. Zaharieva +2
Hybrid models composing mechanistic ODE-based dynamics with flexible and expressive neural network components have grown rapidly in popularity, especially in scientific domains whe…