| Lightgbm: A highly efficient gradient boosting decision tree G Ke, Q Meng, T Finley, T Wang, W Chen, W Ma, Q Ye, TY Liu Advances in neural information processing systems 30, 2017 | 13587 | 2017 |
| Lightgbm: A highly efficient gradient boosting decision tree QM GuolinKe, T Finley, T Wang, W Chen, W Ma, Q Ye, TY Liu Adv. Neural Inf. Process. Syst 30, 52, 2017 | 531 | 2017 |
| Sequential click prediction for sponsored search with recurrent neural networks Y Zhang, H Dai, C Xu, J Feng, T Wang, J Bian, B Wang, TY Liu Proceedings of the AAAI conference on artificial intelligence 28 (1), 2014 | 413 | 2014 |
| Asynchronous stochastic gradient descent with delay compensation S Zheng, Q Meng, T Wang, W Chen, N Yu, ZM Ma, TY Liu International conference on machine learning, 4120-4129, 2017 | 322 | 2017 |
| A communication-efficient parallel algorithm for decision tree Q Meng, G Ke, T Wang, W Chen, Q Ye, ZM Ma, TY Liu Advances in Neural Information Processing Systems 29, 2016 | 161 | 2016 |
| Spellgcn: Incorporating phonological and visual similarities into language models for chinese spelling check X Cheng, W Xu, K Chen, S Jiang, F Wang, T Wang, W Chu, Y Qi arXiv preprint arXiv:2004.14166, 2020 | 150 | 2020 |
| Pairre: Knowledge graph embeddings via paired relation vectors L Chao, J He, T Wang, W Chu arXiv preprint arXiv:2011.03798, 2020 | 148 | 2020 |
| Large-scale low-rank matrix learning with nonconvex regularizers Q Yao, JT Kwok, T Wang, TY Liu IEEE transactions on pattern analysis and machine intelligence 41 (11), 2628 …, 2018 | 97 | 2018 |
| Question directed graph attention network for numerical reasoning over text K Chen, W Xu, X Cheng, Z Xiaochuan, Y Zhang, L Song, T Wang, Y Qi, ... arXiv preprint arXiv:2009.07448, 2020 | 74 | 2020 |
| Asychronous training of machine learning model T Wang, W Chen, TY Liu, F Gao, YE Qiwei US Patent App. 16/327,679, 2019 | 74 | 2019 |
| Semi-supervised ranking on very large graphs with rich metadata B Gao, TY Liu, W Wei, T Wang, H Li Proceedings of the 17th ACM SIGKDD international conference on Knowledge …, 2011 | 73 | 2011 |
| Document-level event extraction via parallel prediction networks H Yang, D Sui, Y Chen, K Liu, J Zhao, T Wang Proceedings of the 59th Annual Meeting of the Association for Computational …, 2021 | 71 | 2021 |
| Toward fast and accurate neural chinese word segmentation with multi-criteria learning W Huang, X Cheng, K Chen, T Wang, W Chu arXiv preprint arXiv:1903.04190, 2019 | 66 | 2019 |
| Generating informative conversational response using recurrent knowledge-interaction and knowledge-copy X Lin, W Jian, J He, T Wang, W Chu Proceedings of the 58th annual meeting of the association for computational …, 2020 | 55 | 2020 |
| Large-scale foundation model on single-cell transcriptomics M Hao, J Gong, X Zeng, C Liu, Y Guo, X Cheng, T Wang, J Ma, X Zhang, ... Nature Methods, 1-11, 2024 | 54 | 2024 |
| Relational click prediction for sponsored search C Xiong, T Wang, W Ding, Y Shen, TY Liu Proceedings of the fifth ACM international conference on Web search and data …, 2012 | 51 | 2012 |
| Incremental event detection via knowledge consolidation networks P Cao, Y Chen, J Zhao, T Wang Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020 | 45 | 2020 |
| Bert-based multi-head selection for joint entity-relation extraction W Huang, X Cheng, T Wang, W Chu Natural Language Processing and Chinese Computing: 8th CCF International …, 2019 | 43 | 2019 |
| Graph-processing techniques for a MapReduce engine T Wang, TY Liu US Patent 8,224,825, 2012 | 41 | 2012 |
| Distributed data reorganization for parallel execution engines T Wang, TY Liu US Patent App. 12/433,880, 2010 | 41 | 2010 |
Tie-Yan LiuDistinguished Scientist, Microsoft Research AI4Science | IEEE Fellow | ACM Fellow | AAIA FellowGeverifieerd e-mailadres voor microsoft.com
