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Ning Wu
Ning Wu
BUAA | Microsoft | ByteDance
在 microsoft.com 的电子邮件经过验证
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年份
XGLUE: A new benchmark dataset for cross-lingual pre-training, understanding and generation
Y Liang, N Duan, Y Gong, N Wu, F Guo, W Qi, M Gong, L Shou, D Jiang, ...
arXiv preprint arXiv:2004.01401, 2020
3302020
Empowering A* search algorithms with neural networks for personalized route recommendation
J Wang, N Wu, WX Zhao, F Peng, X Lin
Proceedings of the 25th ACM SIGKDD international conference on knowledge …, 2019
1202019
Learning effective road network representation with hierarchical graph neural networks
N Wu, XW Zhao, J Wang, D Pan
Proceedings of the 26th ACM SIGKDD international conference on knowledge …, 2020
1152020
Deep trajectory recovery with fine-grained calibration using kalman filter
J Wang, N Wu, X Lu, WX Zhao, K Feng
IEEE Transactions on Knowledge and Data Engineering 33 (3), 921-934, 2019
842019
Large language models are diverse role-players for summarization evaluation
N Wu, M Gong, L Shou, S Liang, D Jiang
CCF International Conference on Natural Language Processing and Chinese …, 2023
542023
Personalized route recommendation with neural network enhanced search algorithm
J Wang, N Wu, WX Zhao
IEEE Transactions on Knowledge and Data Engineering 34 (12), 5910-5924, 2021
392021
Rapt: Pre-training of time-aware transformer for learning robust healthcare representation
H Ren, J Wang, WX Zhao, N Wu
Proceedings of the 27th ACM SIGKDD conference on knowledge discovery & data …, 2021
372021
Learning to effectively estimate the travel time for fastest route recommendation
N Wu, J Wang, WX Zhao, Y Jin
Proceedings of the 28th ACM International Conference on Information and …, 2019
312019
Breaking language barriers in multilingual mathematical reasoning: Insights and observations
N Chen, Z Zheng, N Wu, L Shou, M Gong, Y Song, D Zhang, J Li
arXiv preprint arXiv:2310.20246, 2023
222023
MoCo4SRec: A momentum contrastive learning framework for sequential recommendation
Z Wei, N Wu, F Li, K Wang, W Zhang
Expert Systems with Applications 223, 119911, 2023
152023
Ploutos: Towards interpretable stock movement prediction with financial large language model
H Tong, J Li, N Wu, M Gong, D Zhang, Q Zhang
arXiv preprint arXiv:2403.00782, 2024
112024
HGCC: Enhancing Hyperbolic Graph Convolution Networks on Heterogeneous Collaborative Graph for Recommendation
L Zhang, N Wu
arXiv preprint arXiv:2304.02961, 2023
92023
Empowering dual-encoder with query generator for cross-lingual dense retrieval
H Ren, L Shou, N Wu, M Gong, D Jiang
arXiv preprint arXiv:2303.14991, 2023
92023
Unsupervised context aware sentence representation pretraining for multi-lingual dense retrieval
N Wu, Y Liang, H Ren, L Shou, N Duan, M Gong, D Jiang
arXiv preprint arXiv:2206.03281, 2022
82022
XGLUE: A New Benchmark Dataset for Cross-lingual Pretraining
Y Liang, N Duan, Y Gong, N Wu, F Guo, W Qi, M Gong, L Shou, D Jiang, ...
Understanding and Generation. arXiv abs/2004.01401, 2020
72020
Beyond Surface: Probing LLaMA Across Scales and Layers
N Chen, N Wu, S Liang, M Gong, L Shou, D Zhang, J Li
arXiv preprint arXiv:2312.04333, 2023
52023
Is bigger and deeper always better? probing llama across scales and layers
N Chen, N Wu, S Liang, M Gong, L Shou, D Zhang, J Li
CoRR, 2023
42023
Aligning Large Language Model with Direct Multi-Preference Optimization for Recommendation
Z Bai, N Wu, F Cai, X Zhu, Y Xiong
Proceedings of the 33rd ACM International Conference on Information and …, 2024
22024
Towards Truthful Multilingual Large Language Models: Benchmarking and Alignment Strategies
W Liu, N Wu, W Ding, S Liang, M Gong, D Zhang
arXiv preprint arXiv:2406.14434, 2024
12024
Finetuning Large Language Model for Personalized Ranking
Z Bai, N Wu, F Cai, X Zhu, Y Xiong
arXiv preprint arXiv:2405.16127, 2024
12024
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