Tengfei Ma
Tengfei Ma
IBM T. J. Watson Research Center
Dirección de correo verificada de ibm.com - Página principal
Citado por
Citado por
Fastgcn: fast learning with graph convolutional networks via importance sampling
J Chen, T Ma, C Xiao
ICLR2018, 2018
Evolvegcn: Evolving graph convolutional networks for dynamic graphs
A Pareja, G Domeniconi, J Chen, T Ma, T Suzumura, H Kanezashi, ...
AAAI 2020, 2020
Learning crosslingual word embeddings without bilingual corpora
L Duong, H Kanayama, T Ma, S Bird, T Cohn
arXiv preprint arXiv:1606.09403, 2016
Constrained generation of semantically valid graphs via regularizing variational autoencoders
T Ma, J Chen, C Xiao
32nd Conference on Neural Information Processing Systems (NeurIPS 2018), 2018
Opinion target extraction in Chinese news comments
T Ma, X Wan
Coling 2010: Posters, 782-790, 2010
Readmission prediction via deep contextual embedding of clinical concepts
C Xiao, T Ma, AB Dieng, DM Blei, F Wang
PloS one 13 (4), e0195024, 2018
Drug similarity integration through attentive multi-view graph auto-encoders
T Ma, C Xiao, J Zhou, F Wang
IJCAI'18: Proceedings of the 27th International Joint Conference on …, 2018
Health-atm: A deep architecture for multifaceted patient health record representation and risk prediction
T Ma, C Xiao, F Wang
Proceedings of the 2018 SIAM International Conference on Data Mining, 261-269, 2018
Multilingual training of crosslingual word embeddings
L Duong, H Kanayama, T Ma, S Bird, T Cohn
Proceedings of the 15th Conference of the European Chapter of the …, 2017
Gamenet: Graph augmented memory networks for recommending medication combination
J Shang, C Xiao, T Ma, H Li, J Sun
proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 1126-1133, 2019
Pre-training of graph augmented transformers for medication recommendation
J Shang, T Ma, C Xiao, J Sun
IJCAI 2019, 2019
Multi-document summarization using minimum distortion
T Ma, X Wan
2010 IEEE International Conference on Data Mining, 354-363, 2010
PKUTM participation at TAC 2010 RTE and summarization track
H Jia, X Huang, T Ma, X Wan, J Xiao
In Proceedings of Text Analysis Conference (TAC, 2010
Scalable graph learning for anti-money laundering: A first look
M Weber, J Chen, T Suzumura, A Pareja, T Ma, H Kanezashi, T Kaler, ...
arXiv preprint arXiv:1812.00076, 2018
Mina: Multilevel knowledge-guided attention for modeling electrocardiography signals
S Hong, C Xiao, T Ma, H Li, J Sun
arXiv preprint arXiv:1905.11333, 2019
Named entity recognition in Chinese news comments on the web
X Wan, L Zong, X Huang, T Ma, H Jia, Y Wu, J Xiao
Proceedings of 5th International Joint Conference on Natural Language …, 2011
Online Planner Selection with Graph Neural Networks and Adaptive Scheduling
T Ma, P Ferber, S Huo, J Chen, M Katz
AAAI 2020, 2020
DeepDrawing: A Deep Learning Approach to Graph Drawing
Y Wang, Z Jin, Q Wang, W Cui, T Ma, H Qu
IEEE transactions on visualization and computer graphics 26 (1), 676-686, 2019
Wizard’s apprentice: Cognitive suggestion support for wizard-of-Oz question answering
J Ahn, P Watson, M Chang, S Sundararajan, T Ma, N Mukhi, S Prabhu
International Conference on Artificial Intelligence in Education, 630-635, 2017
Artificial intelligence method to design and fold alpha-helical structural proteins from the primary amino acid sequence
Z Qin, L Wu, H Sun, S Huo, T Ma, E Lim, PY Chen, B Marelli, MJ Buehler
Extreme Mechanics Letters 36, 100652, 2020
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