| Attention-based LSTM for aspect-level sentiment classification Y Wang, M Huang, X Zhu, L Zhao Proceedings of the 2016 conference on empirical methods in natural language …, 2016 | 2250 | 2016 |
| Emotional chatting machine: Emotional conversation generation with internal and external memory H Zhou, M Huang, T Zhang, X Zhu, B Liu Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 755 | 2018 |
| Learning to identify review spam FH Li, M Huang, Y Yang, X Zhu Twenty-second international joint conference on artificial intelligence, 2011 | 535 | 2011 |
| Commonsense knowledge aware conversation generation with graph attention. H Zhou, T Young, M Huang, H Zhao, J Xu, X Zhu IJCAI, 4623-4629, 2018 | 480 | 2018 |
| TransG: A generative mixture model for knowledge graph embedding H Xiao, M Huang, Y Hao, X Zhu ACL 2016, 2016 | 447 | 2016 |
| Structure-aware review mining and summarization F Li, C Han, M Huang, X Zhu, Y Xia, S Zhang, H Yu Proceedings of the 23rd international conference on computational …, 2010 | 403 | 2010 |
| Pre-trained models: Past, present and future X Han, Z Zhang, N Ding, Y Gu, X Liu, Y Huo, J Qiu, Y Yao, A Zhang, ... AI Open 2, 225-250, 2021 | 365 | 2021 |
| Reinforcement learning for relation classification from noisy data J Feng, M Huang, L Zhao, Y Yang, X Zhu Proceedings of the aaai conference on artificial intelligence 32 (1), 2018 | 351 | 2018 |
| Augmenting end-to-end dialogue systems with commonsense knowledge T Young, E Cambria, I Chaturvedi, H Zhou, S Biswas, M Huang Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018 | 326 | 2018 |
| Discovering patterns to extract protein–protein interactions from full texts M Huang, X Zhu, Y Hao, DG Payan, K Qu, M Li Bioinformatics 20 (18), 3604-3612, 2004 | 326 | 2004 |
| Sentiment analysis with global topics and local dependency F Li, M Huang, X Zhu Proceedings of the AAAI conference on artificial intelligence 24 (1), 1371-1376, 2010 | 277 | 2010 |
| Linguistically regularized lstms for sentiment classification Q Qian, M Huang, J Lei, X Zhu ACL 2017, 2017 | 265 | 2017 |
| Challenges in building intelligent open-domain dialog systems M Huang, X Zhu, J Gao ACM Transactions on Information Systems (TOIS) 38 (3), 1-32, 2020 | 258 | 2020 |
| SSP: semantic space projection for knowledge graph embedding with text descriptions H Xiao, M Huang, L Meng, X Zhu Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017 | 204 | 2017 |
| Ppt: Pre-trained prompt tuning for few-shot learning Y Gu, X Han, Z Liu, M Huang ACL 2022, 2021 | 202 | 2021 |
| A hierarchical framework for relation extraction with reinforcement learning R Takanobu, T Zhang, J Liu, M Huang Proceedings of the AAAI conference on artificial intelligence 33 (01), 7072-7079, 2019 | 201 | 2019 |
| A knowledge-enhanced pretraining model for commonsense story generation J Guan, F Huang, Z Zhao, X Zhu, M Huang Transactions of the Association for Computational Linguistics 8, 93-108, 2020 | 193 | 2020 |
| Learning to link entities with knowledge base Z Zheng, F Li, M Huang, X Zhu Human Language Technologies: The 2010 Annual Conference of the North …, 2010 | 187 | 2010 |
| From one point to a manifold: Knowledge graph embedding for precise link prediction H Xiao, M Huang, X Zhu IJCAI, 2016 | 181 | 2016 |
| TransA: An adaptive approach for knowledge graph embedding H Xiao, M Huang, Y Hao, X Zhu arXiv preprint arXiv:1509.05490, 2015 | 178 | 2015 |
Xiaoyan ZhuTsinghua UniversityVerified email at tsinghua.edu.cn
