activity
20162022
most citedGraph Message Passing with Cross-location Attentions for Long-term ILI Prediction

14 citations · 21 across the 4 of their papers we have counts for

collaborators

7 papers

cs.CL20222 cited

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…

cs.LG20212 cited

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…

cs.LG201914 cited

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…

cs.DC2019

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…

cs.AI2019

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…

cs.LG20193 cited

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…