Lingfei Wu (吴凌飞)
Lingfei Wu (吴凌飞)
IBM T. J. Watson Research Center
Email verificata su email.wm.edu - Home page
Titolo
Citata da
Citata da
Anno
Quantized densely connected u-nets for efficient landmark localization
Z Tang, X Peng, S Geng, L Wu, S Zhang, D Metaxas
Proceedings of the European Conference on Computer Vision (ECCV), 339-354, 2018
832018
Graph2seq: Graph to sequence learning with attention-based neural networks
K Xu, L Wu, Z Wang, Y Feng, M Witbrock, V Sheinin
arXiv preprint arXiv:1804.00823, 2018
812018
Learning by cheating
D Chen, B Zhou, V Koltun, P Krähenbühl
Conference on Robot Learning, 66-75, 2020
622020
Word mover's embedding: From word2vec to document embedding
L Wu, IEH Yen, K Xu, F Xu, A Balakrishnan, PY Chen, P Ravikumar, ...
2018 Conference on Empirical Methods in Natural Language Processing (EMNLP 2018), 2018
592018
Skill discrepancies between research, education, and jobs reveal the critical need to supply soft skills for the data economy
K Börner, O Scrivner, M Gallant, S Ma, X Liu, K Chewning, L Wu, ...
Proceedings of the National Academy of Sciences 115 (50), 12630-12637, 2018
572018
Reinforcement learning based graph-to-sequence model for natural question generation
Y Chen, L Wu, MJ Zaki
The Eighth International Conference on Learning Representations (ICLR 2020), 2019
442019
PRIMME_SVDS: A high-performance preconditioned SVD solver for accurate large-scale computations
L Wu, E Romero, A Stathopoulos
SIAM Journal on Scientific Computing 39 (5), S248-S271, 2017
442017
A preconditioned hybrid svd method for accurately computing singular triplets of large matrices
L Wu, A Stathopoulos
SIAM Journal on Scientific Computing 37 (5), S365-S388, 2015
372015
Discrete adversarial attacks and submodular optimization with applications to text classification
Q Lei, L Wu, PY Chen, AG Dimakis, IS Dhillon, M Witbrock
Proceedings of the 2nd SysML Conference, 2019
36*2019
Exploiting rich syntactic information for semantic parsing with graph-to-sequence model
K Xu, L Wu, Z Wang, M Yu, L Chen, V Sheinin
2018 Conference on Empirical Methods in Natural Language Processing (EMNLP 2018), 2018
352018
Bidirectional Attentive Memory Networks for Question Answering over Knowledge Bases
Y Chen, L Wu, MJ Zaki
Proceedings of the 2019 Conference of the North American Chapter of the …, 2019
342019
Revisiting random binning features: Fast convergence and strong parallelizability
L Wu, IEH Yen, J Chen, R Yan
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge …, 2016
312016
Reinforcement Learning Based Text Style Transfer without Parallel Training Corpus
H Gong, S Bhat, L Wu, JJ Xiong, W Hwu
Proceedings of the 2019 Conference of the North American Chapter of the …, 2019
292019
SQL-to-text generation with graph-to-sequence model
K Xu, L Wu, Z Wang, Y Feng, V Sheinin
2018 Conference on Empirical Methods in Natural Language Processing (EMNLP 2018), 2018
292018
Estimating the trace of the matrix inverse by interpolating from the diagonal of an approximate inverse
L Wu, J Laeuchli, V Kalantzis, A Stathopoulos, E Gallopoulos
Journal of Computational Physics 326, 828-844, 2016
292016
A Collinearity-Based Localization Algorithm for Wireless Sensor Networks
L Wu, MQH Meng, H Liang
Chinese Journal of Sensors and Actuators, 722-727, 2009
29*2009
Improved code summarization via a graph neural network
A LeClair, S Haque, L Wu, C McMillan
Proceedings of the 28th International Conference on Program Comprehension …, 2020
272020
Efficient one-vs-one kernel ridge regression for speech recognition
J Chen, L Wu, K Audhkhasi, B Kingsbury, B Ramabhadrari
2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016
272016
A joint neural model for information extraction with global features
Y Lin, H Ji, F Huang, L Wu
Proceedings of the 58th Annual Meeting of the Association for Computational …, 2020
252020
Random warping series: A random features method for time-series embedding
L Wu, IEH Yen, J Yi, F Xu, Q Lei, M Witbrock
International Conference on Artificial Intelligence and Statistics, 793-802, 2018
252018
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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