| UltraGCN: ultra simplification of graph convolutional networks for recommendation K Mao, J Zhu, X Xiao, B Lu, Z Wang, X He Proceedings of the 30th ACM international conference on information …, 2021 | 212 | 2021 |
| SimpleX: A simple and strong baseline for collaborative filtering K Mao, J Zhu, J Wang, Q Dai, Z Dong, X Xiao, X He Proceedings of the 30th ACM International Conference on Information …, 2021 | 108 | 2021 |
| Molecular graph enhanced transformer for retrosynthesis prediction K Mao, X Xiao, T Xu, Y Rong, J Huang, P Zhao Neurocomputing 457, 193-202, 2021 | 52 | 2021 |
| Curriculum contrastive context denoising for few-shot conversational dense retrieval K Mao, Z Dou, H Qian Proceedings of the 45th International ACM SIGIR Conference on Research and …, 2022 | 32 | 2022 |
| Large language models know your contextual search intent: A prompting framework for conversational search K Mao, Z Dou, F Mo, J Hou, H Chen, H Qian arXiv preprint arXiv:2303.06573, 2023 | 30 | 2023 |
| FinalMLP: an enhanced two-stream MLP model for CTR prediction K Mao, J Zhu, L Su, G Cai, Y Li, Z Dong Proceedings of the AAAI Conference on Artificial Intelligence 37 (4), 4552-4560, 2023 | 28* | 2023 |
| Convgqr: Generative query reformulation for conversational search F Mo, K Mao, Y Zhu, Y Wu, K Huang, JY Nie arXiv preprint arXiv:2305.15645, 2023 | 17 | 2023 |
| Convtrans: Transforming web search sessions for conversational dense retrieval K Mao, Z Dou, H Qian, F Mo, X Cheng, Z Cao Proceedings of the 2022 Conference on Empirical Methods in Natural Language …, 2022 | 17 | 2022 |
| Item tagging for information retrieval: A tripartite graph neural network based approach K Mao, X Xiao, J Zhu, B Lu, R Tang, X He Proceedings of the 43rd International ACM SIGIR Conference on Research and …, 2020 | 17 | 2020 |
| Learning denoised and interpretable session representation for conversational search K Mao, H Qian, F Mo, Z Dou, B Liu, X Cheng, Z Cao Proceedings of the ACM Web Conference 2023, 3193-3202, 2023 | 13 | 2023 |
| Learning to relate to previous turns in conversational search F Mo, JY Nie, K Huang, K Mao, Y Zhu, P Li, Y Liu Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 8 | 2023 |
| Search-oriented conversational query editing K Mao, Z Dou, B Liu, H Qian, F Mo, X Wu, X Cheng, Z Cao Findings of the Association for Computational Linguistics: ACL 2023, 4160-4172, 2023 | 6 | 2023 |
| History-Aware Conversational Dense Retrieval F Mo, C Qu, K Mao, T Zhu, Z Su, K Huang, JY Nie arXiv preprint arXiv:2401.16659, 2024 | 5 | 2024 |
| Byte-label joint attention learning for packet-grained network traffic classification K Mao, X Xiao, G Hu, X Luo, B Zhang, S Xia 2021 IEEE/ACM 29th International Symposium on Quality of Service (IWQOS), 1-10, 2021 | 4 | 2021 |
| Generalizing Conversational Dense Retrieval via LLM-Cognition Data Augmentation H Chen, Z Dou, K Mao, J Liu, Z Zhao arXiv preprint arXiv:2402.07092, 2024 | 2 | 2024 |
| ConvSDG: Session Data Generation for Conversational Search F Mo, B Yi, K Mao, C Qu, K Huang, JY Nie arXiv preprint arXiv:2403.11335, 2024 | 1 | 2024 |
| ChatRetriever: Adapting Large Language Models for Generalized and Robust Conversational Dense Retrieval K Mao, C Deng, H Chen, F Mo, Z Liu, T Sakai, Z Dou arXiv preprint arXiv:2404.13556, 2024 | | 2024 |
| Interpreting Conversational Dense Retrieval by Rewriting-Enhanced Inversion of Session Embedding Y Cheng, K Mao, Z Dou arXiv preprint arXiv:2402.12774, 2024 | | 2024 |
| Grounding Language Model with Chunking-Free In-Context Retrieval H Qian, Z Liu, K Mao, Y Zhou, Z Dou arXiv preprint arXiv:2402.09760, 2024 | | 2024 |
Jieming Zhu (朱杰明)Huawei Noah's Ark Lab在 huawei.com 的电子邮件经过验证
