Yue Ning

CoRR, 2024

2023

Self-Supervised Graph Learning With Hyperbolic Embedding for Temporal Health Event Prediction.

[BibT_eX]

[DOI]

Chang Lu

Chandan K. Reddy

K. S. M. Tozammel Hossain

IEEE Trans. Cybern., April, 2023

Towards Semi-Structured Automatic ICD Coding via Tree-based Contrastive Learning.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Equipping Federated Graph Neural Networks with Structure-aware Group Fairness.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2023

2022

Identifying geopolitical event precursors using attention-based LSTMs.

[BibT_eX]

[DOI]

Frontiers Artif. Intell., 2022

Multi-Label Clinical Time-Series Generation via Conditional GAN.

[BibT_eX]

[DOI]

CoRR, 2022

Robust Event Forecasting with Spatiotemporal Confounder Learning.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Sixteenth International AAAI Conference on Web and Social Media, 2022

Anti-Asian Hate Speech Detection via Data Augmented Semantic Relation Inference.

[BibT_eX]

[DOI]

Jiaxuan Li

Proceedings of the Sixteenth International AAAI Conference on Web and Social Media, 2022

Text-enhanced Multi-Granularity Temporal Graph Learning for Event Prediction.

[BibT_eX]

[DOI]

Xiaoxue Han

Proceedings of the IEEE International Conference on Data Mining, 2022

Causality Enhanced Societal Event Forecasting With Heterogeneous Graph Learning.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Forecasting Emerging Pandemics with Transfer Learning and Location-aware News Analysis.

[BibT_eX]

[DOI]

Jing Chen

Germán Creamer

Proceedings of the IEEE International Conference on Big Data, 2022

Equipping Recommender Systems with Individual Fairness via Second-order Proximity Embedding.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Chang Lu

Tian Han

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

A Survey on Societal Event Forecasting with Deep Learning.

[BibT_eX]

[DOI]

CoRR, 2021

Causal Knowledge Guided Societal Event Forecasting.

[BibT_eX]

[DOI]

CoRR, 2021

Recurrent Multi-task Graph Convolutional Networks for COVID-19 Knowledge Graph Link Prediction.

[BibT_eX]

[DOI]

Remington Kim

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.

[BibT_eX]

[DOI]

Kun Wu

Xu Yuan

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

Collaborative Graph Learning with Auxiliary Text for Temporal Event Prediction in Healthcare.

[BibT_eX]

[DOI]

Chang Lu

Chandan K. Reddy

Prithwish Chakraborty

Samantha Kleinberg

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Understanding Event Predictions via Contextualized Multilevel Feature Learning.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Companion of The 2020 Web Conference 2020, 2020

Dynamic Knowledge Graph based Multi-Event Forecasting.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Ameya Vaidya

Feng Mai

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

CoRR, 2019

Asynchronous Online Federated Learning for Edge Devices.

[BibT_eX]

[DOI]

Yujing Chen

CoRR, 2019

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

[BibT_eX]

[DOI]

Ameya Vaidya

Feng Mai

CoRR, 2019

Federated Multi-task Hierarchical Attention Model for Sensor Analytics.

[BibT_eX]

[DOI]

CoRR, 2019

Spatio-temporal Event Forecasting and Precursor Identification.

[BibT_eX]

[DOI]

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Learning Dynamic Context Graphs for Predicting Social Events.

[BibT_eX]

[DOI]

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

2018

Generating Realistic Synthetic Population Datasets.

[BibT_eX]

[DOI]

Hao Wu

Prithwish Chakraborty

Jilles Vreeken

Nikolaj Tatti

Naren Ramakrishnan

ACM Trans. Knowl. Discov. Data, 2018

STAPLE: Spatio-Temporal Precursor Learning for Event Forecasting.

[BibT_eX]

[DOI]

Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

When do Crowds Turn Violent? Uncovering Triggers from Media.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Eleventh ACM Conference on Recommender Systems, 2017

Determining Relative Airport Threats from News and Social Media.

[BibT_eX]

[DOI]

Rupinder Paul Khandpur

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Modeling Precursors for Event Forecasting via Nested Multi-Instance Learning.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Topical Analysis of Interactions Between News and Social Media.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

Uncovering News-Twitter Reciprocity via Interaction Patterns.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Pervasive Computing and the Networked World, 2012

Predicting Mental Health Status in the Context of Web Browsing.

[BibT_eX]

[DOI]

Dong Nie