3 papers
cs.IR2026
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…
cs.LG2026
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…
cs.LG2026
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…