Predicting Mental Health Status Based on Web Usage Behavior. - Tingshao Zhu; Ang Li 004; Yue Ning 001; Zengda Guan (AMT, 2011)

Predicting Mental Health Status in the Context of Web Browsing. - Dong Nie; Yue Ning 001; Tingshao Zhu (Web Intelligence/IAT Workshops, 2012)

Predicting Reader's Emotion on Chinese Web News Articles. - Shuotian Bai; Yue Ning 001; Sha Yuan; Tingshao Zhu (ICPCA/SWS, 2012)

Uncovering News-Twitter Reciprocity via Interaction Patterns. - Yue Ning 001; Sathappan Muthiah; Ravi Tandon; Naren Ramakrishnan (ASONAM, 2015)

Topical Analysis of Interactions Between News and Social Media. - Ting Hua; Yue Ning 001; Feng Chen 001; Chang-Tien Lu; Naren Ramakrishnan (AAAI, 2016)

A Multiple Instance Learning Framework for Identifying Key Sentences and Detecting Events. - Wei Wang 064; Yue Ning 001; Huzefa Rangwala; Naren Ramakrishnan (CIKM, 2016)

Modeling Precursors for Event Forecasting via Nested Multi-Instance Learning. - Yue Ning 001; Sathappan Muthiah; Huzefa Rangwala; Naren Ramakrishnan (KDD, 2016)

Determining Relative Airport Threats from News and Social Media. - Rupinder Paul Khandpur; Taoran Ji; Yue Ning 001; Liang Zhao 002; Chang-Tien Lu; Erik R. Smith; Christopher Adams; Naren Ramakrishnan (AAAI, 2017)

A Gradient-based Adaptive Learning Framework for Efficient Personal Recommendation. - Yue Ning 001; Yue Shi 002; Liangjie Hong; Huzefa Rangwala; Naren Ramakrishnan (RecSys, 2017)

When do Crowds Turn Violent? Uncovering Triggers from Media. - Yue Ning 001; Sathappan Muthiah; Naren Ramakrishnan; Huzefa Rangwala; David Mares (ASONAM, 2018)

STAPLE: Spatio-Temporal Precursor Learning for Event Forecasting. - Yue Ning 001; Rongrong Tao; Chandan K. Reddy; Huzefa Rangwala; James C. Starz; Naren Ramakrishnan (SDM, 2018)

Generating Realistic Synthetic Population Datasets. - Hao Wu 041; Yue Ning 001; Prithwish Chakraborty; Jilles Vreeken; Nikolaj Tatti; Naren Ramakrishnan (ACM Trans. Knowl. Discov. Data, 2018)

Modeling Information Precursors for Event Forecasting. - Yue Ning 001 (2018)

Learning Dynamic Context Graphs for Predicting Social Events. - Songgaojun Deng; Huzefa Rangwala; Yue Ning 001 (KDD, 2019)

Spatio-temporal Event Forecasting and Precursor Identification. - Yue Ning 001; Liang Zhao 002; Feng Chen 001; Chang-Tien Lu; Huzefa Rangwala (KDD, 2019)

Federated Multi-task Hierarchical Attention Model for Sensor Analytics. - Yujing Chen; Yue Ning 001; Zheng Chai; Huzefa Rangwala (CoRR, 2019)

Empirical Analysis of Multi-Task Learning for Reducing Model Bias in Toxic Comment Detection. - Ameya Vaidya; Feng Mai; Yue Ning 001 (CoRR, 2019)

Asynchronous Online Federated Learning for Edge Devices. - Yujing Chen; Yue Ning 001; Huzefa Rangwala (CoRR, 2019)

Graph Message Passing with Cross-location Attentions for Long-term ILI Prediction. - Songgaojun Deng; Shusen Wang; Huzefa Rangwala; Lijing Wang 001; Yue Ning 001 (CoRR, 2019)

Asynchronous Online Federated Learning for Edge Devices with Non-IID Data. - Yujing Chen; Yue Ning 001; Martin Slawski; Huzefa Rangwala (IEEE BigData, 2020)

Cola-GNN: Cross-location Attention based Graph Neural Networks for Long-term ILI Prediction. - Songgaojun Deng; Shusen Wang; Huzefa Rangwala; Lijing Wang 001; Yue Ning 001 (CIKM, 2020)

Empirical Analysis of Multi-Task Learning for Reducing Identity Bias in Toxic Comment Detection. - Ameya Vaidya; Feng Mai; Yue Ning 001 (ICWSM, 2020)

Federated Multi-task Learning with Hierarchical Attention for Sensor Data Analytics. - Yujing Chen; Yue Ning 001; Zheng Chai; Huzefa Rangwala (IJCNN, 2020)

Dynamic Knowledge Graph based Multi-Event Forecasting. - Songgaojun Deng; Huzefa Rangwala; Yue Ning 001 (KDD, 2020)

Fairness of Classification Using Users' Social Relationships in Online Peer-To-Peer Lending. - Yanying Li; Yue Ning 001; Rong Liu; Ying Wu; Wendy Hui Wang (WWW (Companion Volume), 2020)

Understanding Event Predictions via Contextualized Multilevel Feature Learning. - Songgaojun Deng; Huzefa Rangwala; Yue Ning 001 (CIKM, 2021)

Collaborative Graph Learning with Auxiliary Text for Temporal Event Prediction in Healthcare. - Chang Lu; Chandan K. Reddy; Prithwish Chakraborty; Samantha Kleinberg; Yue Ning 001 (IJCAI, 2021)

Incorporating Relational Knowledge in Explainable Fake News Detection. - Kun Wu; Xu Yuan 001; Yue Ning 001 (PAKDD (3), 2021)

Recurrent Multi-task Graph Convolutional Networks for COVID-19 Knowledge Graph Link Prediction. - Remington Kim; Yue Ning 001 (SMC, 2021)

Causal Knowledge Guided Societal Event Forecasting. - Songgaojun Deng; Huzefa Rangwala; Yue Ning 001 (CoRR, 2021)

A Survey on Societal Event Forecasting with Deep Learning. - Songgaojun Deng; Yue Ning 001 (CoRR, 2021)

Context-Aware Health Event Prediction via Transition Functions on Dynamic Disease Graphs. - Chang Lu; Tian Han 001; Yue Ning 001 (AAAI, 2022)

Equipping Recommender Systems with Individual Fairness via Second-order Proximity Embedding. - Kun Wu 011; Jacob Erickson; Wendy Hui Wang; Yue Ning 001 (ASONAM, 2022)

Forecasting Emerging Pandemics with Transfer Learning and Location-aware News Analysis. - Jing Chen; Germán Creamer; Yue Ning 001 (IEEE Big Data, 2022)

Weakly-supervised Metric Learning with Cross-Module Communications for the Classification of Anterior Chamber Angle Images. - Jingqi Huang; Yue Ning 001; Dong Nie; Linan Guan; Xiping Jia (CVPR, 2022)

Causality Enhanced Societal Event Forecasting With Heterogeneous Graph Learning. - Songgaojun Deng; Huzefa Rangwala; Yue Ning 001 (ICDM, 2022)

Text-enhanced Multi-Granularity Temporal Graph Learning for Event Prediction. - Xiaoxue Han; Yue Ning 001 (ICDM, 2022)

Anti-Asian Hate Speech Detection via Data Augmented Semantic Relation Inference. - Jiaxuan Li; Yue Ning 001 (ICWSM, 2022)

FairLP: Towards Fair Link Prediction on Social Network Graphs. - Yanying Li; Xiuling Wang; Yue Ning 001; Hui Wang 013 (ICWSM, 2022)

Robust Event Forecasting with Spatiotemporal Confounder Learning. - Songgaojun Deng; Huzefa Rangwala; Yue Ning 001 (KDD, 2022)

Identifying geopolitical event precursors using attention-based LSTMs. - K. S. M. Tozammel Hossain; Hrayr Harutyunyan; Yue Ning 001; Brendan Kennedy 001; Naren Ramakrishnan; Aram Galstyan (Frontiers Artif. Intell., 2022)

Equipping Federated Graph Neural Networks with Structure-aware Group Fairness. - Nan Cui; Xiuling Wang; Wendy Hui Wang; Violet Chen; Yue Ning 001 (ICDM, 2023)

Certified Edge Unlearning for Graph Neural Networks. - Kun Wu 011; Jie Shen 005; Yue Ning 001; Ting Wang 006; Wendy Hui Wang (KDD, 2023)

Towards Semi-Structured Automatic ICD Coding via Tree-based Contrastive Learning. - Chang Lu; Chandan K. Reddy; Ping Wang 024; Yue Ning 001 (NeurIPS, 2023)

Self-Supervised Graph Learning With Hyperbolic Embedding for Temporal Health Event Prediction. - Chang Lu; Chandan K. Reddy; Yue Ning 001 (IEEE Trans. Cybern., 2023)

Understanding Student Sentiment on Mental Health Support in Colleges Using Large Language Models. - Palak Sood; Chengyang He; Divyanshu Gupta; Yue Ning 001; Ping Wang 024 (IEEE Big Data, 2024)

MPLite: Multi-Aspect Pretraining for Mining Clinical Health Records. - Eric Yang; Pengfei Hu; Xiaoxue Han; Yue Ning 001 (IEEE Big Data, 2024)

Advances in Human Event Modeling: From Graph Neural Networks to Language Models. - Songgaojun Deng; Maarten de Rijke; Yue Ning 001 (KDD, 2024)

A Topology-aware Graph Coarsening Framework for Continual Graph Learning. - Xiaoxue Han; Zhuo Feng; Yue Ning 001 (NeurIPS, 2024)

Large Language Models as Event Forecasters. - Libo Zhang; Yue Ning 001 (CoRR, 2024)

DualMAR: Medical-Augmented Representation from Dual-Expertise Perspectives. - Pengfei Hu; Chang Lu; Fei Wang; Yue Ning 001 (CoRR, 2024)

Multi-Label Clinical Time-Series Generation via Conditional GAN. - Chang Lu; Chandan K. Reddy; Ping Wang 024; Dong Nie; Yue Ning 001 (IEEE Trans. Knowl. Data Eng., 2024)

DeCaf: A Causal Decoupling Framework for OOD Generalization on Node Classification. - Xiaoxue Han; Huzefa Rangwala; Yue Ning 001 (AISTATS, 2025)

Task as Context Prompting for Accurate Medical Symptom Coding Using Large Language Models. - Chengyang He; Wenlong Zhang; Violet Xinying Chen; Yue Ning 001; Ping Wang 024 (CoRR, 2025)

No Black Boxes: Interpretable and Interactable Predictive Healthcare with Knowledge-Enhanced Agentic Causal Discovery. - Xiaoxue Han; Pengfei Hu; Jun-En Ding; Chang Lu; Feng Liu 011; Yue Ning 001 (CoRR, 2025)

UdonCare: Hierarchy Pruning for Unseen Domain Discovery in Predictive Healthcare. - Pengfei Hu; Xiaoxue Han; Fei Wang; Yue Ning 001 (CoRR, 2025)