Yue Ning

发表

Topical Analysis of Interactions Between News and Social Media

Chang-Tien Lu, Naren Ramakrishnan, Feng Chen, 2016, AAAI.

Spatio-temporal Event Forecasting and Precursor Identification

Chang-Tien Lu, Huzefa Rangwala, Liang Zhao, 2019, KDD.

Categorical Maximum Entropy model 3 . 1 Categorical MaxEnt Model Specification

Naren Ramakrishnan, Nikolaj Tatti, Yue Ning, 2018 .

FairLP: Towards Fair Link Prediction on Social Network Graphs

Yue Ning, Xiuling Wang, Yanying Li, 2022, ICWSM.

Weakly-supervised Metric Learning with Cross-Module Communications for the Classification of Anterior Chamber Angle Images

D. Nie, Yue Ning, Jing Huang, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

RNN . . . region i region j Location aware Attention i j T Temporal Convolution K Graph Message Passing Prediction for region j K

Yue Ning, H. Rangwala, Lijing Wang, 2019 .

Asynchronous Online Federated Learning for Edge Devices with Non-IID Data

Martin Slawski, Huzefa Rangwala, Yujing Chen, 2019, 2020 IEEE International Conference on Big Data (Big Data).

Asynchronous Online Federated Learning for Edge Devices pdf

Huzefa Rangwala, Yue Ning, Yujing Chen, 2019, ArXiv.

A Gradient-based Adaptive Learning Framework for Efficient Personal Recommendation

Naren Ramakrishnan, Huzefa Rangwala, Liangjie Hong, 2017, RecSys.

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

Yue Ning, Jiaxuan Li, 2022, ICWSM.

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

Yue Ning, Feng Mai, Ameya Vaidya, 2020, ICWSM.

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

Yue Ning, Feng Mai, Ameya Vaidya, 2019, ArXiv.

A Multiple Instance Learning Framework for Identifying Key Sentences and Detecting Events

Naren Ramakrishnan, Wei Wang, Huzefa Rangwala, 2016, CIKM.

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

Germán G. Creamer, Yue Ning, Jing Chen, 2022, 2022 IEEE International Conference on Big Data (Big Data).

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

Chandan K. Reddy, Yue Ning, Chang Lu, 2021, IEEE Transactions on Cybernetics.

Cola-GNN: Cross-location Attention based Graph Neural Networks for Long-term ILI Prediction

Huzefa Rangwala, Songgaojun Deng, Lijing Wang, 2020, CIKM.

Dynamic Knowledge Graph based Multi-Event Forecasting

Huzefa Rangwala, Songgaojun Deng, Yue Ning, 2020, KDD.

Modeling Precursors for Event Forecasting via Nested Multi-Instance Learning

Naren Ramakrishnan, Huzefa Rangwala, Yue Ning, 2016, KDD.

Federated Multi-task Hierarchical Attention Model for Sensor Analytics pdf

Huzefa Rangwala, Yue Ning, Zheng Chai, 2019, ArXiv.

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

Yue Ning, Xiaoxue Han, 2022, 2022 IEEE International Conference on Data Mining (ICDM).

Learning Dynamic Context Graphs for Predicting Social Events

Huzefa Rangwala, Yue Ning, Songgaojun Deng, 2019, KDD.

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

Wendy Hui Wang, Yue Ning, Kun Wu, 2022, 2022 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM).

A Survey on Societal Event Forecasting with Deep Learning pdf

Yue Ning, Songgaojun Deng, Yue Ning, 2021, ArXiv.

Robust Event Forecasting with Spatiotemporal Confounder Learning

Yue Ning, H. Rangwala, Songgaojun Deng, 2022, KDD.

Causal Knowledge Guided Societal Event Forecasting pdf

Huzefa Rangwala, Yue Ning, Songgaojun Deng, 2021, ArXiv.

Incorporating Relational Knowledge in Explainable Fake News Detection

Yue Ning, Kun Wu, Xu Yuan, 2021, PAKDD.

Generating Realistic Synthetic Population Datasets

Hao Wu, Naren Ramakrishnan, Jilles Vreeken, 2016, ACM Trans. Knowl. Discov. Data.

Understanding Event Predictions via Contextualized Multilevel Feature Learning

Huzefa Rangwala, Yue Ning, Songgaojun Deng, 2021, CIKM.

Identifying geopolitical event precursors using attention-based LSTMs

Naren Ramakrishnan, A. Galstyan, Yue Ning, 2022, Frontiers in Artificial Intelligence.

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

Chandan K. Reddy, Yue Ning, Prithwish Chakraborty, 2021, IJCAI.

Context-aware Health Event Prediction via Transition Functions on Dynamic Disease Graphs pdf

Yue Ning, Tian Han, Chang Lu, 2021, AAAI.

STAPLE: Spatio-Temporal Precursor Learning for Event Forecasting

Naren Ramakrishnan, Huzefa Rangwala, Chandan K. Reddy, 2018, SDM.

When do Crowds Turn Violent? Uncovering Triggers from Media

Naren Ramakrishnan, Huzefa Rangwala, Yue Ning, 2018, 2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM).

Multi-Label Clinical Time-Series Generation via Conditional GAN

Chandan K. Reddy, C. Reddy, Yue Ning, 2022, IEEE Transactions on Knowledge and Data Engineering.

Certified Edge Unlearning for Graph Neural Networks

Wendy Hui Wang, Yue Ning, Kun Wu, 2023, KDD.

Asynchronous Online Federated Learning for Edge Devices with Non-IID Data

Huzefa Rangwala, Yue Ning, Martin Slawski, 2019, 2020 IEEE International Conference on Big Data (Big Data).

Determining Relative Airport Threats from News and Social Media

Chang-Tien Lu, Naren Ramakrishnan, Liang Zhao, 2017, AAAI.

Uncovering news-Twitter reciprocity via interaction patterns

Naren Ramakrishnan, Ravi Tandon, Yue Ning, 2015, 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM).

Fairness of Classification Using Users’ Social Relationships in Online Peer-To-Peer Lending

Wendy Hui Wang, Ying Wu, Yanying Li, 2020, WWW.