Zhenyu Yang

An Unsupervised Convolutional Adversarial Anomaly Detection Model for IoT Data Infrastructure

2022

Anomaly detection is critical to ensure the IoT (Internet of Things) data infrastructures' Quality of Service. However, due to the complexity of incon-spicuous(indistinct) anomalies, high dynamicity, and lack of anomaly labels in the operational IoT …

Topic-based Multi-layer Knowledge Filtering for Emotion Recognition in Conversation

2024

Emotion recognition in conversation (ERC) is a prominent research topic in natural language processing, widely applicable in various scenarios. However, accessing external commonsense knowledge and related dialogue topics, along with the complexity of fusing utterances, …

Binary Neural Networks for Large Language Model: A Survey

2025 · arXiv (Cornell University)

Large language models (LLMs) have wide applications in the field of natural language processing(NLP), such as GPT-4 and Llama. However, with the exponential growth of model parameter sizes, LLMs bring significant resource overheads. Low-bit quantization, …