Tengfei Ma
Tengfei Ma
IBM T. J. Watson Research Center
Potvrđena adresa e-pošte na - Početna stranica
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
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
Pre-training of graph augmented transformers for medication recommendation
J Shang, T Ma, C Xiao, J Sun
IJCAI 2019, 2019
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
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
Learning crosslingual word embeddings without bilingual corpora
L Duong, H Kanayama, T Ma, S Bird, T Cohn
arXiv preprint arXiv:1606.09403, 2016
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
Opinion target extraction in Chinese news comments
T Ma, X Wan
Coling 2010: Posters, 782-790, 2010
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
Pre-training BERT on domain resources for short answer grading
C Sung, T Dhamecha, S Saha, T Ma, V Reddy, R Arora
Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019
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
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
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
Deep Graph Matching and Searching for Semantic Code Retrieval
X Ling, L Wu, S Wang, G Pan, T Ma, F Xu, AX Liu, C Wu, S Ji
The ACM Transactions on Knowledge Discovery from Data (TKDD), 2021
Multilevel graph matching networks for deep graph similarity learning
X Ling, L Wu, S Wang, T Ma, F Xu, AX Liu, C Wu, S Ji
IEEE Transactions on Neural Networks and Learning Systems, 2021
Online Planner Selection with Graph Neural Networks and Adaptive Scheduling
T Ma, P Ferber, S Huo, J Chen, M Katz
AAAI 2020, 2020
Unsupervised Reference-Free Summary Quality Evaluation via Contrastive Learning
H Wu, T Ma, L Wu, T Manyumwa, S Ji
EMNLP 2020, 2020
Link prediction with persistent homology: An interactive view
Z Yan, T Ma, L Gao, Z Tang, C Chen
International Conference on Machine Learning, 11659-11669, 2021
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