192 citations · 872 across the 37 of their papers we have counts for
5 papers · 1 filter
Joint Modeling of Local and Global Temporal Dynamics for Multivariate Time Series Forecasting with Missing Values
Xianfeng Tang, Huaxiu Yao, Yiwei Sun +3
Multivariate time series (MTS) forecasting is widely used in various domains, such as meteorology and traffic. Due to limitations on data collection, transmission, and storage, rea…
Read, Highlight and Summarize: A Hierarchical Neural Semantic Encoder-based Approach
Rajeev Bhatt Ambati, Saptarashmi Bandyopadhyay, Prasenjit Mitra
Traditional sequence-to-sequence (seq2seq) models and other variations of the attention-mechanism such as hierarchical attention have been applied to the text summarization problem…
Transferring Robustness for Graph Neural Network Against Poisoning Attacks
Xianfeng Tang, Yandong Li, Yiwei Sun +3
Graph neural networks (GNNs) are widely used in many applications. However, their robustness against adversarial attacks is criticized. Prior studies show that using unnoticeable m…
Cleaning Noisy and Heterogeneous Metadata for Record Linking Across Scholarly Big Datasets
Athar Sefid, Jian Wu, Allen C. Ge +5
Automatically extracted metadata from scholarly documents in PDF formats is usually noisy and heterogeneous, often containing incomplete fields and erroneous values. One common way…
Guess What's on my Screen? Clustering Smartphone Screenshots with Active Learning
Agnese Chiatti, Dolzodmaa Davaasuren, Nilam Ram +3
A significant proportion of individuals' daily activities is experienced through digital devices. Smartphones in particular have become one of the preferred interfaces for content…