Yue Ning - RankMe

78 papers A* 17A 9B 9Journal 33Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AGFormer: Adaptive Spatiotemporal graph informed transformer for multi-reservoir inflow forecasting. Environ. Model. Softw. Ming Fan, Pengfei Hu, Xiaoxue Han, Wei Zhang, Hyun Kang, Yue Ning, Dan Lu
2026	J	`jnl`	Exploring Accurate and Transparent Domain Adaptation in Predictive Healthcare via Concept-Grounded Orthogonal Inference. CoRR Pengfei Hu, Chang Lu, Feifan Liu, Yue Ning
2026	J	`jnl`	Lightweight Fairness for LLM-Based Recommendations via Kernelized Projection and Gated Adapters. CoRR Nan Cui, Wendy Hui Wang, Yue Ning
2025	—	`conf`	Adaptive Graph Learning with Transformer for Multi-Reservoir Inflow Prediction. ICDM (Workshops) Pengfei Hu, Ming Fan, Xiaoxue Han, Chang Lu, Wei Zhang, Hyun Kang, Yue Ning, Dan Lu
2025	J	`jnl`	Adaptive Graph Learning with Transformer for Multi-Reservoir Inflow Prediction. CoRR Pengfei Hu, Ming Fan, Xiaoxue Han, Chang Lu, Wei Zhang, Hyun Kang, Yue Ning, Dan Lu
2025	A	`conf`	DeCaf: A Causal Decoupling Framework for OOD Generalization on Node Classification. AISTATS Xiaoxue Han, Huzefa Rangwala, Yue Ning
2025	J	`jnl`	HydroDCM: Hydrological Domain-Conditioned Modulation for Cross-Reservoir Inflow Prediction. CoRR Pengfei Hu, Ming Fan, Xiaoxue Han, Chang Lu, Yue Ning, Dan Lu
2025	—	`conf`	Learning for Inflation Forecasting with Dynamic Feature Spaces. ICDM (Workshops) Zakariyya Scavotto, Xiaoxue Han, Yue Ning
2025	—	`conf`	No Black Boxes: Interpretable and Interactable Predictive Healthcare with Knowledge-Enhanced Agentic Causal Discovery. EMNLP (Findings) Xiaoxue Han, Pengfei Hu, Chang Lu, Jun-En Ding, Feng Liu, Yue Ning
2025	J	`jnl`	No Black Boxes: Interpretable and Interactable Predictive Healthcare with Knowledge-Enhanced Agentic Causal Discovery. CoRR Xiaoxue Han, Pengfei Hu, Jun-En Ding, Chang Lu, Feng Liu, Yue Ning
2025	B	`conf`	Task as Context Prompting for Accurate Medical Symptom Coding Using Large Language Models. CHASE Chengyang He, Wenlong Zhang, Violet Xinying Chen, Yue Ning, Ping Wang
2025	J	`jnl`	Task as Context Prompting for Accurate Medical Symptom Coding Using Large Language Models. CoRR Chengyang He, Wenlong Zhang, Violet Xinying Chen, Yue Ning, Ping Wang
2025	J	`jnl`	UdonCare: Hierarchy Pruning for Unseen Domain Discovery in Predictive Healthcare. CoRR Pengfei Hu, Xiaoxue Han, Fei Wang, Yue Ning
2024	A*	`conf`	A Topology-aware Graph Coarsening Framework for Continual Graph Learning. NeurIPS Xiaoxue Han, Zhuo Feng, Yue Ning
2024	J	`jnl`	A Topology-aware Graph Coarsening Framework for Continual Graph Learning. CoRR Xiaoxue Han, Zhuo Feng, Yue Ning
2024	A*	`conf`	Advances in Human Event Modeling: From Graph Neural Networks to Language Models. KDD Songgaojun Deng, Maarten de Rijke, Yue Ning
2024	J	`jnl`	DeCaf: A Causal Decoupling Framework for OOD Generalization on Node Classification. CoRR Xiaoxue Han, Huzefa Rangwala, Yue Ning
2024	J	`jnl`	DualMAR: Medical-Augmented Representation from Dual-Expertise Perspectives. CoRR Pengfei Hu, Chang Lu, Fei Wang, Yue Ning
2024	J	`jnl`	Large Language Models as Event Forecasters. CoRR Libo Zhang, Yue Ning
2024	B	`conf`	MPLite: Multi-Aspect Pretraining for Mining Clinical Health Records. IEEE Big Data Eric Yang, Pengfei Hu, Xiaoxue Han, Yue Ning
2024	J	`jnl`	MPLite: Multi-Aspect Pretraining for Mining Clinical Health Records. CoRR Eric Yang, Pengfei Hu, Xiaoxue Han, Yue Ning
2024	J	`jnl`	Multi-Label Clinical Time-Series Generation via Conditional GAN. IEEE Trans. Knowl. Data Eng. Chang Lu, Chandan K. Reddy, Ping Wang, Dong Nie, Yue Ning
2024	B	`conf`	Understanding Student Sentiment on Mental Health Support in Colleges Using Large Language Models. IEEE Big Data Palak Sood, Chengyang He, Divyanshu Gupta, Yue Ning, Ping Wang
2024	J	`jnl`	Understanding Student Sentiment on Mental Health Support in Colleges Using Large Language Models. CoRR Palak Sood, Chengyang He, Divyanshu Gupta, Yue Ning, Ping Wang
2023	A*	`conf`	Certified Edge Unlearning for Graph Neural Networks. KDD Kun Wu, Jie Shen, Yue Ning, Ting Wang, Wendy Hui Wang
2023	A*	`conf`	Equipping Federated Graph Neural Networks with Structure-aware Group Fairness. ICDM Nan Cui, Xiuling Wang, Wendy Hui Wang, Violet Xinying Chen, Yue Ning
2023	J	`jnl`	Equipping Federated Graph Neural Networks with Structure-aware Group Fairness. CoRR Nan Cui, Xiuling Wang, Wendy Hui Wang, Violet Xinying Chen, Yue Ning
2023	J	`jnl`	Self-Supervised Graph Learning With Hyperbolic Embedding for Temporal Health Event Prediction. IEEE Trans. Cybern. Chang Lu, Chandan K. Reddy, Yue Ning
2023	A*	`conf`	Towards Semi-Structured Automatic ICD Coding via Tree-based Contrastive Learning. NeurIPS Chang Lu, Chandan K. Reddy, Ping Wang, Yue Ning
2023	J	`jnl`	Towards Semi-Structured Automatic ICD Coding via Tree-based Contrastive Learning. CoRR Chang Lu, Chandan K. Reddy, Ping Wang, Yue Ning
2022	A	`conf`	Anti-Asian Hate Speech Detection via Data Augmented Semantic Relation Inference. ICWSM Jiaxuan Li, Yue Ning
2022	J	`jnl`	Anti-Asian Hate Speech Detection via Data Augmented Semantic Relation Inference. CoRR Jiaxuan Li, Yue Ning
2022	A*	`conf`	Causality Enhanced Societal Event Forecasting With Heterogeneous Graph Learning. ICDM Songgaojun Deng, Huzefa Rangwala, Yue Ning
2022	A*	`conf`	Context-Aware Health Event Prediction via Transition Functions on Dynamic Disease Graphs. AAAI Chang Lu, Tian Han, Yue Ning
2022	B	`conf`	Equipping Recommender Systems with Individual Fairness via Second-order Proximity Embedding. ASONAM Kun Wu, Jacob Erickson, Wendy Hui Wang, Yue Ning
2022	A	`conf`	FairLP: Towards Fair Link Prediction on Social Network Graphs. ICWSM Yanying Li, Xiuling Wang, Yue Ning, Hui Wang
2022	B	`conf`	Forecasting Emerging Pandemics with Transfer Learning and Location-aware News Analysis. IEEE Big Data Jing Chen, Germán Creamer, Yue Ning
2022	J	`jnl`	Identifying geopolitical event precursors using attention-based LSTMs. Frontiers Artif. Intell. K. S. M. Tozammel Hossain, Hrayr Harutyunyan, Yue Ning, Brendan Kennedy, Naren Ramakrishnan, Aram Galstyan
2022	J	`jnl`	Multi-Label Clinical Time-Series Generation via Conditional GAN. CoRR Chang Lu, Chandan K. Reddy, Ping Wang, Dong Nie, Yue Ning
2022	A*	`conf`	Robust Event Forecasting with Spatiotemporal Confounder Learning. KDD Songgaojun Deng, Huzefa Rangwala, Yue Ning
2022	A*	`conf`	Text-enhanced Multi-Granularity Temporal Graph Learning for Event Prediction. ICDM Xiaoxue Han, Yue Ning
2022	A*	`conf`	Weakly-supervised Metric Learning with Cross-Module Communications for the Classification of Anterior Chamber Angle Images. CVPR Jingqi Huang, Yue Ning, Dong Nie, Linan Guan, Xiping Jia
2021	J	`jnl`	A Survey on Societal Event Forecasting with Deep Learning. CoRR Songgaojun Deng, Yue Ning
2021	J	`jnl`	Causal Knowledge Guided Societal Event Forecasting. CoRR Songgaojun Deng, Huzefa Rangwala, Yue Ning
2021	A*	`conf`	Collaborative Graph Learning with Auxiliary Text for Temporal Event Prediction in Healthcare. IJCAI Chang Lu, Chandan K. Reddy, Prithwish Chakraborty, Samantha Kleinberg, Yue Ning
2021	J	`jnl`	Collaborative Graph Learning with Auxiliary Text for Temporal Event Prediction in Healthcare. CoRR Chang Lu, Chandan K. Reddy, Prithwish Chakraborty, Samantha Kleinberg, Yue Ning
2021	J	`jnl`	Context-aware Health Event Prediction via Transition Functions on Dynamic Disease Graphs. CoRR Chang Lu, Tian Han, Yue Ning
2021	—	`conf`	Incorporating Relational Knowledge in Explainable Fake News Detection. PAKDD (3) Kun Wu, Xu Yuan, Yue Ning
2021	B	`conf`	Recurrent Multi-task Graph Convolutional Networks for COVID-19 Knowledge Graph Link Prediction. SMC Remington Kim, Yue Ning
2021	J	`jnl`	Self-Supervised Graph Learning with Hyperbolic Embedding for Temporal Health Event Prediction. CoRR Chang Lu, Chandan K. Reddy, Yue Ning
2021	A	`conf`	Understanding Event Predictions via Contextualized Multilevel Feature Learning. CIKM Songgaojun Deng, Huzefa Rangwala, Yue Ning
2020	—	`conf`	Asynchronous Online Federated Learning for Edge Devices with Non-IID Data. IEEE BigData Yujing Chen, Yue Ning, Martin Slawski, Huzefa Rangwala
2020	A	`conf`	Cola-GNN: Cross-location Attention based Graph Neural Networks for Long-term ILI Prediction. CIKM Songgaojun Deng, Shusen Wang, Huzefa Rangwala, Lijing Wang, Yue Ning
2020	A*	`conf`	Dynamic Knowledge Graph based Multi-Event Forecasting. KDD Songgaojun Deng, Huzefa Rangwala, Yue Ning
2020	A	`conf`	Empirical Analysis of Multi-Task Learning for Reducing Identity Bias in Toxic Comment Detection. ICWSM Ameya Vaidya, Feng Mai, Yue Ning
2020	—	`conf`	Fairness of Classification Using Users' Social Relationships in Online Peer-To-Peer Lending. WWW (Companion Volume) Yanying Li, Yue Ning, Rong Liu, Ying Wu, Wendy Hui Wang
2020	B	`conf`	Federated Multi-task Learning with Hierarchical Attention for Sensor Data Analytics. IJCNN Yujing Chen, Yue Ning, Zheng Chai, Huzefa Rangwala
2019	J	`jnl`	Asynchronous Online Federated Learning for Edge Devices. CoRR Yujing Chen, Yue Ning, Huzefa Rangwala
2019	J	`jnl`	Empirical Analysis of Multi-Task Learning for Reducing Model Bias in Toxic Comment Detection. CoRR Ameya Vaidya, Feng Mai, Yue Ning
2019	J	`jnl`	Federated Multi-task Hierarchical Attention Model for Sensor Analytics. CoRR Yujing Chen, Yue Ning, Zheng Chai, Huzefa Rangwala
2019	J	`jnl`	Graph Message Passing with Cross-location Attentions for Long-term ILI Prediction. CoRR Songgaojun Deng, Shusen Wang, Huzefa Rangwala, Lijing Wang, Yue Ning
2019	A*	`conf`	Learning Dynamic Context Graphs for Predicting Social Events. KDD Songgaojun Deng, Huzefa Rangwala, Yue Ning
2019	A*	`conf`	Spatio-temporal Event Forecasting and Precursor Identification. KDD Yue Ning, Liang Zhao, Feng Chen, Chang-Tien Lu, Huzefa Rangwala
2018	J	`jnl`	Generating Realistic Synthetic Population Datasets. ACM Trans. Knowl. Discov. Data Hao Wu, Yue Ning, Prithwish Chakraborty, Jilles Vreeken, Nikolaj Tatti, Naren Ramakrishnan
2018	—	`—`	Modeling Information Precursors for Event Forecasting. Yue Ning
2018	A	`conf`	STAPLE: Spatio-Temporal Precursor Learning for Event Forecasting. SDM Yue Ning, Rongrong Tao, Chandan K. Reddy, Huzefa Rangwala, James C. Starz, Naren Ramakrishnan
2018	B	`conf`	When do Crowds Turn Violent? Uncovering Triggers from Media. ASONAM Yue Ning, Sathappan Muthiah, Naren Ramakrishnan, Huzefa Rangwala, David Mares
2017	A	`conf`	A Gradient-based Adaptive Learning Framework for Efficient Personal Recommendation. RecSys Yue Ning, Yue Shi, Liangjie Hong, Huzefa Rangwala, Naren Ramakrishnan
2017	A*	`conf`	Determining Relative Airport Threats from News and Social Media. AAAI Rupinder Paul Khandpur, Taoran Ji, Yue Ning, Liang Zhao, Chang-Tien Lu, Erik R. Smith, Christopher Adams, Naren Ramakrishnan
2016	A	`conf`	A Multiple Instance Learning Framework for Identifying Key Sentences and Detecting Events. CIKM Wei Wang, Yue Ning, Huzefa Rangwala, Naren Ramakrishnan
2016	J	`jnl`	Generating Realistic Synthetic Population Datasets. CoRR Hao Wu, Yue Ning, Prithwish Chakraborty, Jilles Vreeken, Nikolaj Tatti, Naren Ramakrishnan
2016	A*	`conf`	Modeling Precursors for Event Forecasting via Nested Multi-Instance Learning. KDD Yue Ning, Sathappan Muthiah, Huzefa Rangwala, Naren Ramakrishnan
2016	J	`jnl`	Modeling Precursors for Event Forecasting via Nested Multi-Instance Learning. CoRR Yue Ning, Sathappan Muthiah, Huzefa Rangwala, Naren Ramakrishnan
2016	A*	`conf`	Topical Analysis of Interactions Between News and Social Media. AAAI Ting Hua, Yue Ning, Feng Chen, Chang-Tien Lu, Naren Ramakrishnan
2015	B	`conf`	Uncovering News-Twitter Reciprocity via Interaction Patterns. ASONAM Yue Ning, Sathappan Muthiah, Ravi Tandon, Naren Ramakrishnan
2012	—	`conf`	Predicting Mental Health Status in the Context of Web Browsing. Web Intelligence/IAT Workshops Dong Nie, Yue Ning, Tingshao Zhu
2012	—	`conf`	Predicting Reader's Emotion on Chinese Web News Articles. ICPCA/SWS Shuotian Bai, Yue Ning, Sha Yuan, Tingshao Zhu
2011	—	`conf`	Predicting Mental Health Status Based on Web Usage Behavior. AMT Tingshao Zhu, Ang Li, Yue Ning, Zengda Guan