Yue Ning

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 48

Top Topics

Link Prediction

Top Venues

Publications

Libo Zhang, Yue Ning
Large Language Models as Event Forecasters. CoRR (2024)
Chang Lu, Chandan K. Reddy, Ping Wang, Dong Nie, Yue Ning
Multi-Label Clinical Time-Series Generation via Conditional GAN. IEEE Trans. Knowl. Data Eng. 36 (4) (2024)
Songgaojun Deng, Maarten de Rijke, Yue Ning
Advances in Human Event Modeling: From Graph Neural Networks to Language Models. KDD (2024)
Xiaoxue Han, Zhuo Feng, Yue Ning
A Topology-aware Graph Coarsening Framework for Continual Graph Learning. CoRR (2024)
Nan Cui, Xiuling Wang, Wendy Hui Wang, Violet Chen, Yue Ning
Equipping Federated Graph Neural Networks with Structure-aware Group Fairness. CoRR (2023)
Chang Lu, Chandan K. Reddy, Ping Wang, Yue Ning
Towards Semi-Structured Automatic ICD Coding via Tree-based Contrastive Learning. NeurIPS (2023)
Kun Wu, Jie Shen, Yue Ning, Ting Wang, Wendy Hui Wang
Certified Edge Unlearning for Graph Neural Networks. KDD (2023)
Chang Lu, Chandan K. Reddy, Yue Ning
Self-Supervised Graph Learning With Hyperbolic Embedding for Temporal Health Event Prediction. IEEE Trans. Cybern. 53 (4) (2023)
Chang Lu, Chandan K. Reddy, Ping Wang, Yue Ning
Towards Semi-Structured Automatic ICD Coding via Tree-based Contrastive Learning. CoRR (2023)
Chang Lu, Tian Han, Yue Ning
Context-Aware Health Event Prediction via Transition Functions on Dynamic Disease Graphs. AAAI (2022)
Jiaxuan Li, Yue Ning
Anti-Asian Hate Speech Detection via Data Augmented Semantic Relation Inference. CoRR (2022)
Yanying Li, Xiuling Wang, Yue Ning, Hui Wang
FairLP: Towards Fair Link Prediction on Social Network Graphs. ICWSM (2022)
Songgaojun Deng, Huzefa Rangwala, Yue Ning
Robust Event Forecasting with Spatiotemporal Confounder Learning. KDD (2022)
Songgaojun Deng, Huzefa Rangwala, Yue Ning
Causality Enhanced Societal Event Forecasting With Heterogeneous Graph Learning. ICDM (2022)
Kun Wu, Jacob Erickson, Wendy Hui Wang, Yue Ning
Equipping Recommender Systems with Individual Fairness via Second-order Proximity Embedding. ASONAM (2022)
Jing Chen, Germán Creamer, Yue Ning
Forecasting Emerging Pandemics with Transfer Learning and Location-aware News Analysis. Big Data (2022)
Chang Lu, Chandan K. Reddy, Ping Wang, Dong Nie, Yue Ning
Multi-Label Clinical Time-Series Generation via Conditional GAN. CoRR (2022)
Jingqi Huang, Yue Ning, Dong Nie, Linan Guan, Xiping Jia
Weakly-supervised Metric Learning with Cross-Module Communications for the Classification of Anterior Chamber Angle Images. CVPR (2022)
Jiaxuan Li, Yue Ning
Anti-Asian Hate Speech Detection via Data Augmented Semantic Relation Inference. ICWSM (2022)
Chang Lu, Chandan K. Reddy, Prithwish Chakraborty, Samantha Kleinberg, Yue Ning
Collaborative Graph Learning with Auxiliary Text for Temporal Event Prediction in Healthcare. IJCAI (2021)
Songgaojun Deng, Yue Ning
A Survey on Societal Event Forecasting with Deep Learning. CoRR (2021)
Remington Kim, Yue Ning
Recurrent Multi-task Graph Convolutional Networks for COVID-19 Knowledge Graph Link Prediction. SMC (2021)
Chang Lu, Chandan K. Reddy, Yue Ning
Self-Supervised Graph Learning with Hyperbolic Embedding for Temporal Health Event Prediction. CoRR (2021)
Chang Lu, Chandan K. Reddy, Prithwish Chakraborty, Samantha Kleinberg, Yue Ning
Collaborative Graph Learning with Auxiliary Text for Temporal Event Prediction in Healthcare. CoRR (2021)
Kun Wu, Xu Yuan, Yue Ning
Incorporating Relational Knowledge in Explainable Fake News Detection. PAKDD (3) (2021)
Songgaojun Deng, Huzefa Rangwala, Yue Ning
Understanding Event Predictions via Contextualized Multilevel Feature Learning. CIKM (2021)
Chang Lu, Tian Han, Yue Ning
Context-aware Health Event Prediction via Transition Functions on Dynamic Disease Graphs. CoRR (2021)
Songgaojun Deng, Huzefa Rangwala, Yue Ning
Causal Knowledge Guided Societal Event Forecasting. CoRR (2021)
Yujing Chen, Yue Ning, Martin Slawski, Huzefa Rangwala
Asynchronous Online Federated Learning for Edge Devices with Non-IID Data. IEEE BigData (2020)
Yanying Li, Yue Ning, Rong Liu, Ying Wu, Wendy Hui Wang
Fairness of Classification Using Users' Social Relationships in Online Peer-To-Peer Lending. WWW (Companion Volume) (2020)
Yujing Chen, Yue Ning, Zheng Chai, Huzefa Rangwala
Federated Multi-task Learning with Hierarchical Attention for Sensor Data Analytics. IJCNN (2020)
Songgaojun Deng, Shusen Wang, Huzefa Rangwala, Lijing Wang, Yue Ning
Cola-GNN: Cross-location Attention based Graph Neural Networks for Long-term ILI Prediction. CIKM (2020)
Songgaojun Deng, Huzefa Rangwala, Yue Ning
Dynamic Knowledge Graph based Multi-Event Forecasting. KDD (2020)
Yue Ning, Liang Zhao, Feng Chen, Chang-Tien Lu, Huzefa Rangwala
Spatio-temporal Event Forecasting and Precursor Identification. KDD (2019)
Yujing Chen, Yue Ning, Huzefa Rangwala
Asynchronous Online Federated Learning for Edge Devices. CoRR (2019)
Yujing Chen, Yue Ning, Zheng Chai, Huzefa Rangwala
Federated Multi-task Hierarchical Attention Model for Sensor Analytics. CoRR (2019)
Songgaojun Deng, Huzefa Rangwala, Yue Ning
Learning Dynamic Context Graphs for Predicting Social Events. KDD (2019)
Songgaojun Deng, Shusen Wang, Huzefa Rangwala, Lijing Wang, Yue Ning
Graph Message Passing with Cross-location Attentions for Long-term ILI Prediction. CoRR (2019)
Yue Ning, Sathappan Muthiah, Naren Ramakrishnan, Huzefa Rangwala, David Mares
When do Crowds Turn Violent? Uncovering Triggers from Media. ASONAM (2018)
Hao Wu, Yue Ning, Prithwish Chakraborty, Jilles Vreeken, Nikolaj Tatti, Naren Ramakrishnan
Generating Realistic Synthetic Population Datasets. ACM Trans. Knowl. Discov. Data 12 (4) (2018)
Yue Ning, Rongrong Tao, Chandan K. Reddy, Huzefa Rangwala, James C. Starz, Naren Ramakrishnan
STAPLE: Spatio-Temporal Precursor Learning for Event Forecasting. SDM (2018)
Rupinder Paul Khandpur, Taoran Ji, Yue Ning, Liang Zhao, Chang-Tien Lu, Erik R. Smith, Christopher Adams, Naren Ramakrishnan
Determining Relative Airport Threats from News and Social Media. AAAI (2017)
Yue Ning, Yue Shi, Liangjie Hong, Huzefa Rangwala, Naren Ramakrishnan
A Gradient-based Adaptive Learning Framework for Efficient Personal Recommendation. RecSys (2017)
Yue Ning, Sathappan Muthiah, Huzefa Rangwala, Naren Ramakrishnan
Modeling Precursors for Event Forecasting via Nested Multi-Instance Learning. KDD (2016)
Hao Wu, Yue Ning, Prithwish Chakraborty, Jilles Vreeken, Nikolaj Tatti, Naren Ramakrishnan
Generating Realistic Synthetic Population Datasets. CoRR (2016)
Yue Ning, Sathappan Muthiah, Huzefa Rangwala, Naren Ramakrishnan
Modeling Precursors for Event Forecasting via Nested Multi-Instance Learning. CoRR (2016)
Ting Hua, Yue Ning, Feng Chen, Chang-Tien Lu, Naren Ramakrishnan
Topical Analysis of Interactions Between News and Social Media. AAAI (2016)
Wei Wang, Yue Ning, Huzefa Rangwala, Naren Ramakrishnan
A Multiple Instance Learning Framework for Identifying Key Sentences and Detecting Events. CIKM (2016)
Yue Ning, Sathappan Muthiah, Ravi Tandon, Naren Ramakrishnan
Uncovering News-Twitter Reciprocity via Interaction Patterns. ASONAM (2015)