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You Lu
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Year
Structured output learning with conditional generative flows
Y Lu, B Huang
Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 5005-5012, 2020
582020
Learning node and edge embeddings for signed networks
W Song, S Wang, B Yang, Y Lu, X Zhao, X Liu
Neurocomputing 319, 42-54, 2018
312018
Supervised labeled latent Dirichlet allocation for document categorization
X Li, J Ouyang, X Zhou, Y Lu, Y Liu
Applied Intelligence 42, 581-593, 2015
272015
Group topic model: organizing topics into groups
X Li, J Ouyang, Y Lu, X Zhou, T Tian
Information Retrieval Journal 18, 1-25, 2015
242015
Woodbury transformations for deep generative flows
Y Lu, B Huang
Advances in Neural Information Processing Systems 33, 5801-5811, 2020
152020
Topic modeling for large-scale text data
X Li, J Ouyang, Y Lu
Frontiers of Information Technology & Electronic Engineering 16 (6), 457-465, 2015
102015
Automatic fine-grained localization of utility pole landmarks on distributed acoustic sensing traces based on bilinear resnets
Y Lu, Y Tian, S Han, E Cosatto, S Ozharar, Y Ding
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
72021
Why ADAGRAD fails for online topic modeling
Y Lu, J Lund, J Boyd-Graber
Proceedings of the 2017 Conference on Empirical Methods in Natural Language …, 2017
62017
Momentum online LDA for large-scale datasets
J Ouyang, Y Lu, X Li
ECAI 2014, 1075-1076, 2014
32014
Block belief propagation for parameter learning in markov random fields
Y Lu, Z Liu, B Huang
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 4448-4455, 2019
12019
Weakly Supervised Label Learning Flows
Y Lu, C Arachie, B Huang
arXiv preprint arXiv:2302.09649, 2023
2023
Utility pole localization by distributed fiber sensing of aerial fiber cable
Y Tian, HAN Shaobo, S Ozharar, D Yangmin, Y Lu
US Patent App. 17/504,365, 2022
2022
Projected Gradient method for Inference in Markov Random Fields
Y Lu
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Articles 1–13