| Syntax-directed variational autoencoder for structured data H Dai, Y Tian, B Dai, S Skiena, L Song arXiv preprint arXiv:1802.08786, 2018 | 155 | 2018 |
| Multilingual knowledge graph embeddings for cross-lingual knowledge alignment M Chen, Y Tian, M Yang, C Zaniolo arXiv preprint arXiv:1611.03954, 2016 | 150 | 2016 |
| 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 | 89 | 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 | 81 | 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 | 18 | 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 | 18 | 2018 |
| Latent translation: Crossing modalities by bridging generative models Y Tian, J Engel arXiv preprint arXiv:1902.08261, 2019 | 10 | 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 | 10 | 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 | 10 | 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 | 6 | 2018 |
| 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 | 4 | 2019 |
| Learning to represent bilingual dictionaries M Chen, Y Tian, H Chen, KW Chang, S Skiena, C Zaniolo arXiv preprint arXiv:1808.03726, 2018 | 4 | 2018 |
| InstantEmbedding: Efficient Local Node Representations Ş Postăvaru, A Tsitsulin, FMG de Almeida, Y Tian, S Lattanzi, B Perozzi arXiv preprint arXiv:2010.06992, 2020 | 3 | 2020 |
| 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 | 3 | 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 | 3 | 2019 |
| 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 | 3 | 2018 |
| On the convergent properties of word embedding methods Y Tian, V Kulkarni, B Perozzi, S Skiena arXiv preprint arXiv:1605.03956, 2016 | 2 | 2016 |
| Learning Bilingual Word Embeddings Using Lexical Definitions W Shi, M Chen, Y Tian, KW Chang arXiv preprint arXiv:1906.08939, 2019 | 1 | 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 | | 2020 |
| 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 | | 2020 |
