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Yue Ning
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Asynchronous online federated learning for edge devices with non-iid data
Y Chen, Y Ning, M Slawski, H Rangwala
2020 IEEE International Conference on Big Data (Big Data), 15-24, 2020
1792020
Learning dynamic context graphs for predicting social events
S Deng, H Rangwala, Y Ning
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019
722019
Modeling Precursors for Event Forecasting via Nested Multi-Instance Learning
Y Ning, S Muthiah, H Rangwala, N Ramakrishnan
Proceedings of the 22nd ACM SIGKDD Conference on Knowledge Discovery and …, 2016
642016
Dynamic knowledge graph based multi-event forecasting
S Deng, H Rangwala, Y Ning
Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020
452020
Cola-GNN: Cross-location attention based graph neural networks for long-term ILI prediction
S Deng, S Wang, H Rangwala, L Wang, Y Ning
Proceedings of the 29th ACM international conference on information …, 2020
422020
A multiple instance learning framework for identifying key sentences and detecting events
W Wang, Y Ning, H Rangwala, N Ramakrishnan
Proceedings of the 25th ACM International on Conference on Information and …, 2016
352016
Empirical analysis of multi-task learning for reducing identity bias in toxic comment detection
A Vaidya, F Mai, Y Ning
Proceedings of the International AAAI Conference on Web and Social Media 14 …, 2020
282020
A Gradient-based Adaptive Learning Framework for Efficient Personal Recommendation
Y Ning, Y Shi, L Hong, H Rangwala, N Ramakrishnan
Proceedings of the 11th ACM Conference on Recommender Systems (RecSys’17), 2017
202017
STAPLE: Spatio-Temporal Precursor Learning for Event Forecasting
Y Ning, R Tao, CK Reddy, H Rangwala, JC Starz, N Ramakrishnan
The 18th SIAM International Conference on Data Mining (SDM18), 2018
192018
Topical analysis of interactions between news and social media
T Hua, Y Ning, F Chen, CT Lu, N Ramakrishnan
Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016
192016
Graph message passing with cross-location attentions for long-term ILI prediction
S Deng, S Wang, H Rangwala, L Wang, Y Ning
arXiv preprint arXiv:1912.10202, 2019
182019
Empirical analysis of multi-task learning for reducing model bias in toxic comment detection
A Vaidya, F Mai, Y Ning
arXiv preprint arXiv:1909.09758, 2019
172019
Generating Realistic Synthetic Population Datasets
H Wu, Y Ning, P Chakraborty, J Vreeken, N Tatti, N Ramakrishnan
ACM Transactions on Knowledge Discovery from Data (TKDD), 2018
172018
Determining relative airport threats from news and social media
R Khandpur, T Ji, Y Ning, L Zhao, CT Lu, E Smith, C Adams, ...
Proceedings of the AAAI Conference on Artificial Intelligence 31 (2), 4701-4707, 2017
152017
Fairness of classification using users’ social relationships in online peer-to-peer lending
Y Li, Y Ning, R Liu, Y Wu, W Hui Wang
Companion Proceedings of the Web Conference 2020, 733-742, 2020
142020
Collaborative graph learning with auxiliary text for temporal event prediction in healthcare
C Lu, CK Reddy, P Chakraborty, S Kleinberg, Y Ning
Proceedings of the Thirtieth International Joint Conference on Artificial …, 2021
132021
Spatio-temporal event forecasting and precursor identification
Y Ning, L Zhao, F Chen, CT Lu, H Rangwala
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019
132019
Uncovering news-twitter reciprocity via interaction patterns
Y Ning, S Muthiah, R Tandon, N Ramakrishnan
2015 IEEE/ACM International Conference on Advances in Social Networks …, 2015
132015
Using decision tree to predict mental health status based on web behavior
T Zhu, Y Ning, A Li, X Xu
2011 3rd Symposium on Web Society, 27-31, 2011
112011
Federated multi-task learning with hierarchical attention for sensor data analytics
Y Chen, Y Ning, Z Chai, H Rangwala
2020 International Joint Conference on Neural Networks (IJCNN), 1-8, 2020
72020
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