Lingfei Wu (吴凌飞)
Lingfei Wu (吴凌飞)
IBM T. J. Watson Research Center
Verified email at - Homepage
Cited by
Cited by
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
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
Word mover's embedding: From word2vec to document embedding
L Wu, IEH Yen, K Xu, F Xu, A Balakrishnan, PY Chen, P Ravikumar, ...
arXiv preprint arXiv:1811.01713, 2018
Learning by cheating
D Chen, B Zhou, V Koltun, P Krähenbühl
Conference on Robot Learning, 66-75, 2020
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
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
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
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
Exploiting rich syntactic information for semantic parsing with graph-to-sequence model
K Xu, L Wu, Z Wang, M Yu, L Chen, V Sheinin
arXiv preprint arXiv:1808.07624, 2018
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
Reinforcement learning based graph-to-sequence model for natural question generation
Y Chen, L Wu, MJ Zaki
arXiv preprint arXiv:1908.04942, 2019
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
A Collinearity-Based Localization Algorithm for Wireless Sensor Networks
L Wu, MQH Meng, H Liang
Chinese Journal of Sensors and Actuators, 722-727, 2009
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
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
D2ke: From distance to kernel and embedding
L Wu, IEH Yen, F Xu, P Ravikumar, M Witbrock
arXiv preprint arXiv:1802.04956, 2018
SQL-to-text generation with graph-to-sequence model
K Xu, L Wu, Z Wang, Y Feng, V Sheinin
arXiv preprint arXiv:1809.05255, 2018
Random warping series: A random features method for time-series embedding
L Wu, IEH Yen, J Yi, F Xu, Q Lei, M Witbrock
arXiv preprint arXiv:1809.05259, 2018
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
Deep Graph Translation
X Guo, L Wu, L Zhao, 2018
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