Publications (21)
Hierarchical Image Classification with A Literally Toy Dataset
Long He, Dandan Song, Liang Zheng
Unsupervised domain adaptation (UDA) in image classification remains a big challenge. In existing UDA image dataset, classes are usually organized in a flattened way, where a plain…
MetaFruit Meets Foundation Models: Leveraging a Comprehensive Multi-Fruit Dataset for Advancing Agricultural Foundation Models
Jiajia Li, Kyle Lammers, Xunyuan Yin +4
Fruit harvesting poses a significant labor and financial burden for the industry, highlighting the critical need for advancements in robotic harvesting solutions. Machine vision-ba…
Prescriptive PCA: Dimensionality Reduction for Two-stage Stochastic Optimization
Long He, Ho-Yin Mak
In this paper, we consider the alignment between an upstream dimensionality reduction task of learning a low-dimensional representation of a set of high-dimensional data and a down…
Circuit-Inspired High-Order Neural Networks with Unified Neural Dynamics Modeling for PDE Solving and Visual Perception
Tongfei Chen, Jingying Yang, Linlin Yang +8
Deep networks often rely on architectural heuristics to shape representation evolution, limiting their ability to model data governed by intrinsic dynamics. We present the Circuit-…
A Two Time-Scale Joint Optimization Approach for UAV-assisted MEC
Zemin Sun, Geng Sun, Long He +3
Unmanned aerial vehicles (UAV)-assisted mobile edge computing (MEC) is emerging as a promising paradigm to provide aerial-terrestrial computing services close to mobile devices (MD…
Higher-Order Modes Are More Robust: The Origin of Bending Insensitivity in Multimode Fibers and Its Exploitation for Imaging
Xiangqian Chen, Long He, Yuxuan Luan +3
Multimode fibers (MMFs) hold great promise for minimally invasive imaging, yet their extreme sensitivity to bending perturbations severely hinders practical applications. Starting…