Следене
Kelong Mao
Kelong Mao
GSAI, Remin University of China
Потвърден имейл адрес: ruc.edu.cn - Начална страница
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Позовавания
Позовавания
Година
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
2022021
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
1002021
Molecular graph enhanced transformer for retrosynthesis prediction
K Mao, X Xiao, T Xu, Y Rong, J Huang, P Zhao
Neurocomputing 457, 193-202, 2021
522021
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
302022
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
272023
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
212023
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
162020
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
152023
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
152022
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
112023
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
72023
Liangcai Su, Guohao Cai, Yuru Li, and Zhenhua Dong. Finalmlp: An enhanced two-stream mlp model for ctr prediction
K Mao, J Zhu
arXiv preprint arXiv:2304.00902, 2023
62023
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
52023
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
42024
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
42021
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
12024
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
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
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