Zhu Hong

Robust Long-Tailed Learning via Label-Aware Bounded CVaR

2023 · arXiv (Cornell University)

Data in the real-world classification problems are always imbalanced or long-tailed, wherein the majority classes have the most of the samples that dominate the model training. In such setting, the naive model tends to have …

Ultrafast & Low-power Consumption 2D Floating-Gate Devices for Opto-electronic Hybrid Neural Networks

2025

Optoelectronic hybrid neural networks combine the advantages of electronical and optical neural networks, enabling next-generation neuromorphic computing systems with nanosecond processing speeds, fJ-level energy efficiency, and wafer-scale integration density. Here, we demonstrate a MoS2/h-BN/graphene based …