Yue Ning
Title
Cited by
Cited by
Year
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
462016
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
332020
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
282019
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
222016
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
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
162017
Determining relative airport threats from news and social media
RP Khandpur, T Ji, Y Ning, L Zhao, CT Lu, ER Smith, C Adams, ...
Twenty-Ninth IAAI Conference, 2017
142017
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
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
112019
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
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
92018
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
82019
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
72020
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
62020
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
62018
Predicting reader’s emotion on Chinese web news articles
S Bai, Y Ning, S Yuan, T Zhu
Joint International Conference on Pervasive Computing and the Networked …, 2012
62012
Affective-word based chinese text sentiment classification
Y Ning, T Zhu, Y Wang
5th International Conference on Pervasive Computing and Applications, 111-115, 2010
62010
Dynamic Knowledge Graph Based Multi-Event Forecasting
S Deng, H Rangwala, Y Ning
Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020
52020
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
42019
Predicting mental health status based on web usage behavior
T Zhu, A Li, Y Ning, Z Guan
International Conference on Active Media Technology, 186-194, 2011
42011
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Articles 1–20