Yue Ning

Orcid: 0000-0002-1227-440X

Affiliations:
  • Stevens Institute of Technology, Hoboken, NJ, USA
  • Virginia Tech, Arlington, VA, USA (PhD 2018)
  • Chinese Academy of Sciences, Institute of Psychology, Beijing, China (2009-2012)


According to our database1, Yue Ning authored at least 51 papers between 2011 and 2024.

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Timeline

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Bibliography

2024
Multi-Label Clinical Time-Series Generation via Conditional GAN.
IEEE Trans. Knowl. Data Eng., April, 2024

DeCaf: A Causal Decoupling Framework for OOD Generalization on Node Classification.
CoRR, 2024

DualMAR: Medical-Augmented Representation from Dual-Expertise Perspectives.
CoRR, 2024

Large Language Models as Event Forecasters.
CoRR, 2024

A Topology-aware Graph Coarsening Framework for Continual Graph Learning.
CoRR, 2024

Advances in Human Event Modeling: From Graph Neural Networks to Language Models.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

2023
Self-Supervised Graph Learning With Hyperbolic Embedding for Temporal Health Event Prediction.
IEEE Trans. Cybern., April, 2023

Towards Semi-Structured Automatic ICD Coding via Tree-based Contrastive Learning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Certified Edge Unlearning for Graph Neural Networks.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Equipping Federated Graph Neural Networks with Structure-aware Group Fairness.
Proceedings of the IEEE International Conference on Data Mining, 2023

2022
Identifying geopolitical event precursors using attention-based LSTMs.
Frontiers Artif. Intell., 2022

Robust Event Forecasting with Spatiotemporal Confounder Learning.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

FairLP: Towards Fair Link Prediction on Social Network Graphs.
Proceedings of the Sixteenth International AAAI Conference on Web and Social Media, 2022

Anti-Asian Hate Speech Detection via Data Augmented Semantic Relation Inference.
Proceedings of the Sixteenth International AAAI Conference on Web and Social Media, 2022

Text-enhanced Multi-Granularity Temporal Graph Learning for Event Prediction.
Proceedings of the IEEE International Conference on Data Mining, 2022

Causality Enhanced Societal Event Forecasting With Heterogeneous Graph Learning.
Proceedings of the IEEE International Conference on Data Mining, 2022

Weakly-supervised Metric Learning with Cross-Module Communications for the Classification of Anterior Chamber Angle Images.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Forecasting Emerging Pandemics with Transfer Learning and Location-aware News Analysis.
Proceedings of the IEEE International Conference on Big Data, 2022

Equipping Recommender Systems with Individual Fairness via Second-order Proximity Embedding.
Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2022

Context-Aware Health Event Prediction via Transition Functions on Dynamic Disease Graphs.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
A Survey on Societal Event Forecasting with Deep Learning.
CoRR, 2021

Causal Knowledge Guided Societal Event Forecasting.
CoRR, 2021

Recurrent Multi-task Graph Convolutional Networks for COVID-19 Knowledge Graph Link Prediction.
Proceedings of the Driving Scientific and Engineering Discoveries Through the Integration of Experiment, Big Data, and Modeling and Simulation, 2021

Incorporating Relational Knowledge in Explainable Fake News Detection.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

Collaborative Graph Learning with Auxiliary Text for Temporal Event Prediction in Healthcare.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Understanding Event Predictions via Contextualized Multilevel Feature Learning.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020
Fairness of Classification Using Users' Social Relationships in Online Peer-To-Peer Lending.
Proceedings of the Companion of The 2020 Web Conference 2020, 2020

Dynamic Knowledge Graph based Multi-Event Forecasting.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Federated Multi-task Learning with Hierarchical Attention for Sensor Data Analytics.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Empirical Analysis of Multi-Task Learning for Reducing Identity Bias in Toxic Comment Detection.
Proceedings of the Fourteenth International AAAI Conference on Web and Social Media, 2020

Cola-GNN: Cross-location Attention based Graph Neural Networks for Long-term ILI Prediction.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Asynchronous Online Federated Learning for Edge Devices with Non-IID Data.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019
Graph Message Passing with Cross-location Attentions for Long-term ILI Prediction.
CoRR, 2019

Asynchronous Online Federated Learning for Edge Devices.
CoRR, 2019

Empirical Analysis of Multi-Task Learning for Reducing Model Bias in Toxic Comment Detection.
CoRR, 2019

Federated Multi-task Hierarchical Attention Model for Sensor Analytics.
CoRR, 2019

Spatio-temporal Event Forecasting and Precursor Identification.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Learning Dynamic Context Graphs for Predicting Social Events.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

2018
Modeling Information Precursors for Event Forecasting.
PhD thesis, 2018

Generating Realistic Synthetic Population Datasets.
ACM Trans. Knowl. Discov. Data, 2018

STAPLE: Spatio-Temporal Precursor Learning for Event Forecasting.
Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

When do Crowds Turn Violent? Uncovering Triggers from Media.
Proceedings of the IEEE/ACM 2018 International Conference on Advances in Social Networks Analysis and Mining, 2018

2017
A Gradient-based Adaptive Learning Framework for Efficient Personal Recommendation.
Proceedings of the Eleventh ACM Conference on Recommender Systems, 2017

Determining Relative Airport Threats from News and Social Media.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Modeling Precursors for Event Forecasting via Nested Multi-Instance Learning.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

A Multiple Instance Learning Framework for Identifying Key Sentences and Detecting Events.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Topical Analysis of Interactions Between News and Social Media.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Uncovering News-Twitter Reciprocity via Interaction Patterns.
Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2015

2012
Predicting Reader's Emotion on Chinese Web News Articles.
Proceedings of the Pervasive Computing and the Networked World, 2012

Predicting Mental Health Status in the Context of Web Browsing.
Proceedings of the 2012 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology, 2012

2011
Predicting Mental Health Status Based on Web Usage Behavior.
Proceedings of the Active Media Technology - 7th International Conference, 2011


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