Yingtao Tian
Cited by
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Multilingual knowledge graph embeddings for cross-lingual knowledge alignment
M Chen, Y Tian, M Yang, C Zaniolo
arXiv preprint arXiv:1611.03954, 2016
Syntax-directed variational autoencoder for structured data
H Dai, Y Tian, B Dai, S Skiena, L Song
arXiv preprint arXiv:1802.08786, 2018
Towards the automatic anime characters creation with generative adversarial networks
Y Jin, J Zhang, M Li, Y Tian, H Zhu, Z Fang
arXiv preprint arXiv:1708.05509, 2017
Co-training embeddings of knowledge graphs and entity descriptions for cross-lingual entity alignment
M Chen, Y Tian, KW Chang, S Skiena, C Zaniolo
arXiv preprint arXiv:1806.06478, 2018
On2Vec: Embedding-based Relation Prediction for Ontology Population
M Chen, Y Tian, X Chen, Z Xue, C Zaniolo
Proceedings of the 2018 SIAM International Conference on Data Mining, 315-323, 2018
Syntax-directed variational autoencoder for molecule generation
H Dai, Y Tian, B Dai, S Skiena, L Song
Proceedings of the International Conference on Learning Representations, 2018
Latent translation: Crossing modalities by bridging generative models
Y Tian, J Engel
arXiv preprint arXiv:1902.08261, 2019
Enhanced network embeddings via exploiting edge labels
H Chen, X Sun, Y Tian, B Perozzi, M Chen, S Skiena
Proceedings of the 27th ACM International Conference on Information and …, 2018
A transfer-learnable natural language interface for databases
W Wang, Y Tian, H Xiong, H Wang, WS Ku
arXiv preprint arXiv:1809.02649, 2018
Deepannotator: Genome annotation with deep learning
MR Amin, A Yurovsky, Y Tian, S Skiena
Proceedings of the 2018 ACM International Conference on Bioinformatics …, 2018
Learning to represent bilingual dictionaries
M Chen, Y Tian, H Chen, KW Chang, S Skiena, C Zaniolo
arXiv preprint arXiv:1808.03726, 2018
Spatialnli: A spatial domain natural language interface to databases using spatial comprehension
J Li, W Wang, WS Ku, Y Tian, H Wang
Proceedings of the 27th ACM SIGSPATIAL International Conference on Advances …, 2019
Fast and accurate network embeddings via very sparse random projection
H Chen, SF Sultan, Y Tian, M Chen, S Skiena
Proceedings of the 28th ACM International Conference on Information and …, 2019
Social relation inference via label propagation
Y Tian, H Chen, B Perozzi, M Chen, X Sun, S Skiena
European Conference on Information Retrieval, 739-746, 2019
InstantEmbedding: Efficient Local Node Representations
Ş Postăvaru, A Tsitsulin, FMG de Almeida, Y Tian, S Lattanzi, B Perozzi
arXiv preprint arXiv:2010.06992, 2020
Simple neologism based domain independent models to predict year of authorship
V Kulkarni, Y Tian, P Dandiwala, S Skiena
Proceedings of the 27th International Conference on Computational …, 2018
On the convergent properties of word embedding methods
Y Tian, V Kulkarni, B Perozzi, S Skiena
arXiv preprint arXiv:1605.03956, 2016
A Natural Language Interface for Database: Achieving Transfer-learnability Using Adversarial Method for Question Understanding
W Wang, Y Tian, H Wang, WS Ku
2020 IEEE 36th International Conference on Data Engineering (ICDE), 97-108, 2020
Learning Bilingual Word Embeddings Using Lexical Definitions
W Shi, M Chen, Y Tian, KW Chang
arXiv preprint arXiv:1906.08939, 2019
Training and/or utilizing recurrent neural network model to determine subsequent source (s) for electronic resource interaction
B Perozzi, Y Tian
US Patent 10,810,493, 2020
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