Yan Liu
Yan Liu
Professor, Director of Machine Learning Center@USC
Verified email at - Homepage
Cited by
Cited by
Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting
Y Li, R Yu, C Shahabi, Y Liu
ICLR, 2018
Recurrent neural networks for multivariate time series with missing values
Z Che, S Purushotham, K Cho, D Sontag, Y Liu
Nature Scientific reports 8 (1), 6085, 2018
Csi: A hybrid deep model for fake news detection
N Ruchansky, S Seo, Y Liu
Proceedings of the 2017 ACM on Conference on Information and Knowledge …, 2017
Spatiotemporal multi-graph convolution network for ride-hailing demand forecasting
X Geng, Y Li, L Wang, L Zhang, Q Yang, J Ye, Y Liu
2019 AAAI Conference on Artificial Intelligence (AAAI’19), 2019
Adaptive gradient methods with dynamic bound of learning rate
L Luo, Y Xiong, Y Liu, X Sun
arXiv preprint arXiv:1902.09843, 2019
Combating fake news: A survey on identification and mitigation techniques
K Sharma, F Qian, H Jiang, N Ruchansky, M Zhang, Y Liu
ACM Transactions on Intelligent Systems and Technology (TIST) 10 (3), 21, 2019
The DARPA Twitter bot challenge
VS Subrahmanian, A Azaria, S Durst, V Kagan, A Galstyan, K Lerman, ...
Computer 49 (6), 38-46, 2016
Interpretable Convolutional Neural Networks with Dual Local and Global Attention for Review Rating Prediction
S Seo, J Huang, H Yang, Y Liu
Proceedings of the Eleventh ACM Conference on Recommender Systems, 297-305, 2017
Deep learning: A generic approach for extreme condition traffic forecasting
R Yu, Y Li, C Shahabi, U Demiryurek, Y Liu
Proceedings of the 2017 SIAM International Conference on Data Mining, 777-785, 2017
Benchmark of Deep Learning Models on Large Healthcare MIMIC Datasets
S Purushotham, C Meng, Z Che, Y Liu
Journal of biomedical informatics, 2018
Dyngem: Deep embedding method for dynamic graphs
P Goyal, N Kamra, X He, Y Liu
arXiv preprint arXiv:1805.11273, 2018
Topic-link LDA: joint models of topic and author community
Y Liu, A Niculescu-Mizil, W Gryc
proceedings of the 26th annual international conference on machine learning …, 2009
Temporal causal modeling with graphical granger methods
A Arnold, Y Liu, N Abe
Proceedings of the 13th ACM SIGKDD international conference on Knowledge …, 2007
Interpretable deep models for ICU outcome prediction
Z Che, S Purushotham, R Khemani, Y Liu
AMIA Annual Symposium Proceedings 2016, 371, 2016
Deep computational phenotyping
Z Che, D Kale, W Li, MT Bahadori, Y Liu
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge …, 2015
Text mining for product attribute extraction
R Ghani, K Probst, Y Liu, M Krema, A Fano
ACM SIGKDD Explorations Newsletter 8 (1), 41-48, 2006
Multi-task representation learning for travel time estimation
Y Li, K Fu, Z Wang, C Shahabi, J Ye, Y Liu
International Conference on Knowledge Discovery and Data Mining,(KDD), 2018
Coronavirus on social media: Analyzing misinformation in Twitter conversations
K Sharma, S Seo, C Meng, S Rambhatla, A Dua, Y Liu
arXiv preprint arXiv:2003.12309, 2020
Collaborative topic regression with social matrix factorization for recommendation systems
S Purushotham, Y Liu, CCJ Kuo
arXiv preprint arXiv:1206.4684, 2012
Neural User Response Generator: Fake News Detection with Collective User Intelligence
YL Feng Qian, Chengyue Gong, Karishma Sharma
IJCAI, 2018
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