Trang Pham
Trang Pham
Software Engineer, Google
Verified email at google.com - Homepage
Title
Cited by
Cited by
Year
Predicting healthcare trajectories from medical records: A deep learning approach
T Pham, T Tran, D Phung, S Venkatesh
Journal of Biomedical Informatics, 2017
2212017
Deepcare: A deep dynamic memory model for predictive medicine
T Pham, T Tran, D Phung, S Venkatesh
Pacific-Asia conference on knowledge discovery and data mining, 30-41, 2016
2202016
Column Networks for Collective Classification
T Pham, T Tran, D Phung, S Venkatesh
AAAI'17, 2017
1162017
A deep learning model for estimating story points
M Choetkiertikul, HK Dam, T Tran, T Pham, A Ghose, T Menzies
IEEE Transactions on Software Engineering, 2018
762018
A deep language model for software code
H Dam, T Tran, T Pham
Workshop on Naturalness of Software, FSE 2016: ACM SIGSOFT International …, 2016
622016
A deep tree-based model for software defect prediction
HK Dam, T Pham, SW Ng, T Tran, J Grundy, A Ghose, T Kim, CJ Kim
arXiv preprint arXiv:1802.00921, 2018
582018
Automatic feature learning for vulnerability prediction
HK Dam, T Tran, T Pham, SW Ng, J Grundy, A Ghose
arXiv preprint arXiv:1708.02368, 2017
462017
Automatic feature learning for predicting vulnerable software components
HK Dam, T Tran, TTM Pham, SW Ng, J Grundy, A Ghose
IEEE Transactions on Software Engineering, 2018
442018
Graph Memory Networks for Molecular Activity Prediction
T Pham, T Tran, S Venkatesh
International Conference for Pattern Recognition, 2018
262018
Faster Training of Very Deep Networks Via p-Norm Gates
T Pham, T Tran, D Phung, S Venkatesh
ICPR'16, International Conference on Pattern Recognition, 2016
122016
One size fits many: Column bundle for multi-x learning
T Pham, T Tran, S Venkatesh
arXiv preprint arXiv:1702.07021, 2017
72017
A deep tree-based model for software defect prediction
H Khanh Dam, T Pham, SW Ng, T Tran, J Grundy, A Ghose, T Kim, CJ Kim
arXiv e-prints, arXiv: 1802.00921, 2018
62018
Graph Classification via Deep Learning with Virtual Nodes
T Pham, T Tran, H Dam, S Venkatesh
Representation Learning for Graphs Workshop - IJCAI'17, 2017
62017
Predicting components for issue reports using deep learning with information retrieval
M Choetkiertikul, HK Dam, T Tran, T Pham, A Ghose
Proceedings of the 40th International Conference on Software Engineering …, 2018
42018
Whole genome analysis of a Vietnamese trio
DT Hai, N Dai Thanh, PTM Trang, PTT Hang, DC Cuong, HK Phuc, ...
Journal of biosciences 40 (1), 113-124, 2015
42015
Relational dynamic memory networks
T Pham, T Tran, S Venkatesh
arXiv preprint arXiv:1808.04247, 2018
32018
Building population-specific reference genomes: a case study of Vietnamese reference genome
N Dai Thanh, PTM Trang, DT Hai, NHA Tuan, BQ Minh, DQ Minh, PB Son, ...
2015 Seventh International Conference on Knowledge and Systems Engineering …, 2015
32015
Preliminary results on the whole genome analysis of a Vietnamese individual
HT Dang, T Dai Nguyen, MTT Pham, CC Dang, PK Hoang, SB Pham, ...
VNU Journal of Science: Computer Science and Communication Engineering 30 (3), 2014
12014
Recurrent neural networks for structured data
TTM Pham
Deakin University, 2019
2019
A Generic Neural Architecture for Multiple Inputs and Outputs
T Pham, T Tran, S Venkatesh
WiML Workshop, NIPS, 2017
2017
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Articles 1–20