49 citations · 112 across the 13 of their papers we have counts for
13 papers
Anti-Asian Hate Speech Detection via Data Augmented Semantic Relation Inference
Jiaxuan Li, Yue Ning
With the spreading of hate speech on social media in recent years, automatic detection of hate speech is becoming a crucial task and has attracted attention from various communitie…
Multi-Label Clinical Time-Series Generation via Conditional GAN
Chang Lu, Chandan K. Reddy, Ping Wang +2
In recent years, deep learning has been successfully adopted in a wide range of applications related to electronic health records (EHRs) such as representation learning and clinica…
Context-aware Health Event Prediction via Transition Functions on Dynamic Disease Graphs
Chang Lu, Tian Han, Yue Ning
With the wide application of electronic health records (EHR) in healthcare facilities, health event prediction with deep learning has gained more and more attention. A common featu…
A Survey on Societal Event Forecasting with Deep Learning
Songgaojun Deng, Yue Ning
Population-level societal events, such as civil unrest and crime, often have a significant impact on our daily life. Forecasting such events is of great importance for decision-mak…
Causal Knowledge Guided Societal Event Forecasting
Songgaojun Deng, Huzefa Rangwala, Yue Ning
Data-driven societal event forecasting methods exploit relevant historical information to predict future events. These methods rely on historical labeled data and cannot accurately…
Self-Supervised Graph Learning with Hyperbolic Embedding for Temporal Health Event Prediction
Chang Lu, Chandan K. Reddy, Yue Ning
Electronic Health Records (EHR) have been heavily used in modern healthcare systems for recording patients' admission information to hospitals. Many data-driven approaches employ t…
Collaborative Graph Learning with Auxiliary Text for Temporal Event Prediction in Healthcare
Chang Lu, Chandan K. Reddy, Prithwish Chakraborty +2
Accurate and explainable health event predictions are becoming crucial for healthcare providers to develop care plans for patients. The availability of electronic health records (E…
Graph Message Passing with Cross-location Attentions for Long-term ILI Prediction
Songgaojun Deng, Shusen Wang, Huzefa Rangwala +2
Forecasting influenza-like illness (ILI) is of prime importance to epidemiologists and health-care providers. Early prediction of epidemic outbreaks plays a pivotal role in disease…
Asynchronous Online Federated Learning for Edge Devices with Non-IID Data
Yujing Chen, Yue Ning, Martin Slawski +1
Federated learning (FL) is a machine learning paradigm where a shared central model is learned across distributed edge devices while the training data remains on these devices. Fed…
Empirical Analysis of Multi-Task Learning for Reducing Model Bias in Toxic Comment Detection
Ameya Vaidya, Feng Mai, Yue Ning
With the recent rise of toxicity in online conversations on social media platforms, using modern machine learning algorithms for toxic comment detection has become a central focus…
Federated Multi-task Hierarchical Attention Model for Sensor Analytics
Yujing Chen, Yue Ning, Zheng Chai +1
Sensors are an integral part of modern Internet of Things (IoT) applications. There is a critical need for the analysis of heterogeneous multivariate temporal data obtained from th…
Generating Realistic Synthetic Population Datasets
Hao Wu, Yue Ning, Prithwish Chakraborty +3
Modern studies of societal phenomena rely on the availability of large datasets capturing attributes and activities of synthetic, city-level, populations. For instance, in epidemio…
Modeling Precursors for Event Forecasting via Nested Multi-Instance Learning
Yue Ning, Sathappan Muthiah, Huzefa Rangwala +1
Forecasting events like civil unrest movements, disease outbreaks, financial market movements and government elections from open source indicators such as news feeds and social med…