Yue Zhao

BOND: Benchmarking Unsupervised Outlier Node Detection on Static Attributed Graphs

2022 · arXiv (Cornell University)

Detecting which nodes in graphs are outliers is a relatively new machine learning task with numerous applications. Despite the proliferation of algorithms developed in recent years for this task, there has been no standard comprehensive …

Net Load Forecast based on Behind-the-Meter Disaggregation of Smart Meter Data

2023

As the penetration of behind-the-meter (BTM) rooftop solar energies continues to increase in power distribution systems, it is of paramount importance for load serving entities and system operators to forecast net loads in the system. …

LEGO-Learn: Label-Efficient Graph Open-Set Learning

2024 · arXiv (Cornell University)

How can we train graph-based models to recognize unseen classes while keeping labeling costs low? Graph open-set learning (GOL) and out-of-distribution (OOD) detection aim to address this challenge by training models that can accurately classify …

NNG-Mix: Improving Semi-Supervised Anomaly Detection With Pseudo-Anomaly Generation

2024 · IEEE Transactions on Neural Networks and Learning Systems

Anomaly detection (AD) is essential in identifying rare and often critical events in complex systems, finding applications in fields such as network intrusion detection, financial fraud detection, and fault detection in infrastructure and industrial systems. …

NLP-ADBench: NLP Anomaly Detection Benchmark

2024 · arXiv (Cornell University)

Anomaly detection (AD) is an important machine learning task with applications in fraud detection, content moderation, and user behavior analysis. However, AD is relatively understudied in a natural language processing (NLP) context, limiting its effectiveness …

Tibetan–Chinese speech-to-speech translation based on discrete units

2025 · Scientific Reports

Speech-to-speech translation (S2ST) has evolved from cascade systems which integrate Automatic Speech Recognition (ASR), Machine Translation (MT), and Text-to-Speech (TTS), to end-to-end models. This evolution has been driven by advancements in model performance and the …

Postgraduate Education Informatization: Constructing a Novel Intelligent Education Ecosystem

2024 · Higher education and practice.

The informatization of graduate education drives the transformation of higher education towards a new intelligent education ecosystem, with the core focus on the deep integration of technology empowerment and educational principles. This study proposes a …