Haoran Li

Heterogeneous Data Fusion and Anomaly Detection in Industrial IoT Systems Using Spatio-Temporal Graph Neural Networks

2024

This paper proposes a novel framework for heterogeneous data fusion and anomaly detection in Internet of Things (IoT) systems using spatio-temporal graph neural networks (GNNs). The framework addresses the challenges of integrating multi-source data and …

Multi-modal Summarization for Asynchronous Collection of Text, Image, Audio and Video

2017

The rapid increase in multimedia data transmission over the Internet necessitates the multi-modal summarization (MMS) from collections of text, image, audio and video. In this work, we propose an extractive multi-modal summarization method that can …

Multi-modal Sentence Summarization with Modality Attention and Image Filtering

2018

In this paper, we introduce a multi-modal sentence summarization task that produces a short summary from a pair of sentence and image. This task is more challenging than sentence summarization. It not only needs to …

Emerging Cross-lingual Structure in Pretrained Language Models

2020

We study the problem of multilingual masked language modeling, i.e. the training of a single model on concatenated text from multiple languages, and present a detailed study of several factors that influence why these models …