| Neural news recommendation with multi-head self-attention C Wu, F Wu, S Ge, T Qi, Y Huang, X Xie Proceedings of the 2019 conference on empirical methods in natural language …, 2019 | 350 | 2019 |
| Graph enhanced representation learning for news recommendation S Ge, C Wu, F Wu, T Qi, Y Huang Proceedings of the web conference 2020, 2863-2869, 2020 | 132 | 2020 |
| Fedner: Privacy-preserving medical named entity recognition with federated learning S Ge, F Wu, C Wu, T Qi, Y Huang, X Xie arXiv preprint arXiv:2003.09288, 2020 | 70 | 2020 |
| Model tells you what to discard: Adaptive kv cache compression for llms S Ge, Y Zhang, L Liu, M Zhang, J Han, J Gao arXiv preprint arXiv:2310.01801, 2023 | 56 | 2023 |
| Reviews meet graphs: Enhancing user and item representations for recommendation with hierarchical attentive graph neural network C Wu, F Wu, T Qi, S Ge, Y Huang, X Xie Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019 | 49 | 2019 |
| Improving cyberbullying detection with user interaction S Ge, L Cheng, H Liu Proceedings of the Web Conference 2021, 496-506, 2021 | 35 | 2021 |
| Mart: Improving llm safety with multi-round automatic red-teaming S Ge, C Zhou, R Hou, M Khabsa, YC Wang, Q Wang, J Han, Y Mao arXiv preprint arXiv:2311.07689, 2023 | 34 | 2023 |
| Unsupervised multi-granularity summarization M Zhong, Y Liu, S Ge, Y Mao, Y Jiao, X Zhang, Y Xu, C Zhu, M Zeng, ... arXiv preprint arXiv:2201.12502, 2022 | 18* | 2022 |
| Helpfulness-aware review based neural recommendation S Ge, T Qi, C Wu, F Wu, X Xie, Y Huang CCF transactions on pervasive computing and interaction 1, 285-295, 2019 | 16 | 2019 |
| THU_NGN at SemEval-2019 task 3: Dialog emotion classification using attentional LSTM-CNN S Ge, T Qi, C Wu, Y Huang Proceedings of the 13th international workshop on semantic evaluation, 340-344, 2019 | 13 | 2019 |
| Active neural networks to detect mentions of changes to medication treatment in social media D Weissenbacher, S Ge, A Klein, K O’Connor, R Gross, S Hennessy, ... Journal of the American Medical Informatics Association 28 (12), 2551-2561, 2021 | 12 | 2021 |
| Toward understanding bias correlations for mitigation in NLP L Cheng, S Ge, H Liu arXiv preprint arXiv:2205.12391, 2022 | 11 | 2022 |
| Detecting and extracting of adverse drug reaction mentioning tweets with multi-head self attention S Ge, T Qi, C Wu, Y Huang Proceedings of the fourth social media mining for health applications …, 2019 | 9 | 2019 |
| Corpus-based relation extraction by identifying and refining relation patterns S Zhou, S Ge, J Shen, J Han Joint European Conference on Machine Learning and Knowledge Discovery in …, 2023 | 5 | 2023 |
| FineSum: Target-Oriented, Fine-Grained Opinion Summarization S Ge, J Huang, Y Meng, J Han Proceedings of the Sixteenth ACM International Conference on Web Search and …, 2023 | 5* | 2023 |
| Augmenting zero-shot dense retrievers with plug-in mixture-of-memories S Ge, C Xiong, C Rosset, A Overwijk, J Han, P Bennett arXiv preprint arXiv:2302.03754, 2023 | 5 | 2023 |
| THU_NGN at SemEval-2019 task 12: Toponym detection and disambiguation on scientific papers T Qi, S Ge, C Wu, Y Chen, Y Huang Proceedings of the 13th International Workshop on Semantic Evaluation, 1302-1307, 2019 | 3 | 2019 |
| Efficient LLM Training and Serving with Heterogeneous Context Sharding among Attention Heads X Lin, Y Zhang, S Ge, B Patra, V Chaudhary, X Song arXiv preprint arXiv:2407.17678, 2024 | | 2024 |
Chuhan WuNoah's Ark Lab, Huawei Technologies在 huawei.com 的电子邮件经过验证
