Huan Wang

Temporal and spatial anomaly detection using Phase Spectrum of Quaternion Fourier Transform

2015

In this paper, a novel method based on Phase Spectrum of Quaternion Fourier Transform (PQFT) for anomaly detection in crowd is presented. The proposed method mainly consists of two parts: quaternion feature representation and construct …

A Vulnerability Assessment Method in Industrial Internet of Things Based on Attack Graph and Maximum Flow

2018 · IEEE Access

To solve the low attack path quantification degree and complex path finding in the industrial Internet of Things, a vulnerability assessment method based on attack graph and maximum flow is proposed. The method takes into …

Multi-target GM-PHD trackers based on strong tracking cubature Kalman filter

2020

Multi-target tracking technology based on probability hypothesis density (PHD) filter has become a hot research topic due to the feature that it does not require measurement-to-track association. Aiming at the problem that the Gaussian mixture …

Don’t Just Blame Over-parametrization for Over-confidence: Theoretical Analysis of Calibration in Binary Classification

2021 · International Conference on Machine Learning

Modern machine learning models with high accuracy are often miscalibrated -- the predicted top probability does not reflect the actual accuracy, and tends to be over-confident. It is commonly believed that such over-confidence is mainly …

Improved Online Conformal Prediction via Strongly Adaptive Online Learning

2023 · arXiv (Cornell University)

We study the problem of uncertainty quantification via prediction sets, in an online setting where the data distribution may vary arbitrarily over time. Recent work develops online conformal prediction techniques that leverage regret minimization algorithms …

Personalized Multi-task Training for Recommender System

2024 · arXiv (Cornell University)

In the vast landscape of internet information, recommender systems (RecSys) have become essential for guiding users through a sea of choices aligned with their preferences. These systems have applications in diverse domains, such as news …

Is Oracle Pruning the True Oracle?

2024 · arXiv (Cornell University)

Oracle pruning, which selects unimportant weights by minimizing the pruned train loss, has served as the foundation for most neural network pruning methods for over thirty-five years, while few (if any) have thought about how …

Pretrained Large Models in Telecommunications: A Survey of Technologies and Applications

2024

As telecommunications networks become more complex, optimizing performance and predicting traffic are crucial for enhancing customer experience. Pretrained large models (PLMs) based on Transformer architecture have proven effective in processing large-scale structured and unstructured data, …