collaborators

5 papers

cs.LG2026

Corroborative Learning: Mutual Enhancement through Task-Response Reconstruction

Zexing Zhang, Jichao Li, Tianyang Lei +2

In pattern analysis, models trained independently for the same task often develop complementary capabilities through differences in architecture, data, and optimization. Exploiting…

cs.LG2026

Beyond Scarcity: When Encoder Adaptation Is Worthwhile

Zexing Zhang, Jichao Li, Tianyang Lei +2

Long-tailed recognition often learns a shared representation before correcting the classifier for class imbalance. Once the classifier has been rebalanced, however, final accuracy…

cs.LG2026

Selective Posterior Margin Regularization for Forward-Corrected Classification

Zexing Zhang, Jichao Li, Tianyang Lei +2

Learning with class-conditional label noise often relies on a transition model from latent clean classes to observed annotations. Forward correction embeds this transition in the l…

cs.AI2026

More Criticism Does Not Make a Better Review: EquiReview-R

Zexing Zhang, Jichao Li, Tianyang Lei +2

AI reviewers can now produce many specific criticisms, but more criticism is not necessarily a better review. A review may miss a consequential weakness or retain an allegation tha…

eess.SP2026

Non-invasive Blood Glucose Estimation from Wearable Physiological Signals

Zexing Zhang, Jichao Li, Yilong Wang +2

Non-invasive blood glucose estimation from wearable physiological signals remains difficult because longitudinal photoplethysmography (PPG) data are subject to distribution drift,…