Obserwuj
Ninghao Liu
Tytuł
Cytowane przez
Cytowane przez
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Techniques for interpretable machine learning
M Du, N Liu, X Hu
Communications of the ACM 63 (1), 68-77, 2019
15262019
Explainability for large language models: A survey
H Zhao, H Chen, F Yang, N Liu, H Deng, H Cai, S Wang, D Yin, M Du
ACM Transactions on Intelligent Systems and Technology 15 (2), 1-38, 2024
4312024
Auggpt: Leveraging chatgpt for text data augmentation
H Dai, Z Liu, W Liao, X Huang, Y Cao, Z Wu, L Zhao, S Xu, F Zeng, W Liu, ...
IEEE Transactions on Big Data, 2023
358*2023
G-mixup: Graph data augmentation for graph classification
X Han, Z Jiang, N Liu, X Hu
International Conference on Machine Learning, 8230-8248, 2022
2262022
An embarrassingly simple approach for trojan attack in deep neural networks
R Tang, M Du, N Liu, F Yang, X Hu
Proceedings of the 26th ACM SIGKDD international conference on knowledge …, 2020
2142020
On the Opportunities and Challenges of Foundation Models for GeoAI (Vision Paper)
G Mai, W Huang, J Sun, S Song, D Mishra, N Liu, S Gao, T Liu, G Cong, ...
ACM Transactions on Spatial Algorithms and Systems, 2024
177*2024
Towards explanation of dnn-based prediction with guided feature inversion
M Du, N Liu, Q Song, X Hu
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018
1622018
Sparse-interest network for sequential recommendation
Q Tan, J Zhang, J Yao, N Liu, J Zhou, H Yang, X Hu
Proceedings of the 14th ACM international conference on web search and data …, 2021
1562021
Edits: Modeling and mitigating data bias for graph neural networks
Y Dong, N Liu, B Jalaian, J Li
Proceedings of the ACM web conference 2022, 1259-1269, 2022
1452022
In-processing modeling techniques for machine learning fairness: A survey
M Wan, D Zha, N Liu, N Zou
ACM Transactions on Knowledge Discovery from Data 17 (3), 1-27, 2023
1422023
S2GAE: self-supervised graph autoencoders are generalizable learners with graph masking
Q Tan, N Liu, X Huang, SH Choi, L Li, R Chen, X Hu
Proceedings of the sixteenth ACM international conference on web search and …, 2023
140*2023
Deep representation learning for social network analysis
Q Tan, N Liu, X Hu
Frontiers in big Data 2, 2, 2019
1392019
Artificial general intelligence (AGI) for education
E Latif, G Mai, M Nyaaba, X Wu, N Liu, G Lu, S Li, T Liu, X Zhai
arXiv preprint arXiv:2304.12479, 2023
114*2023
Learning to hash with graph neural networks for recommender systems
Q Tan, N Liu, X Zhao, H Yang, J Zhou, X Hu
Proceedings of The Web Conference 2020, 1988-1998, 2020
1082020
Contextual outlier interpretation
N Liu, D Shin, X Hu
Proceedings of the 27th International Joint Conference on Artificial …, 2018
1042018
Is a single vector enough? exploring node polysemy for network embedding
N Liu, Q Tan, Y Li, H Yang, J Zhou, X Hu
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019
1032019
Adversarial detection with model interpretation
N Liu, H Yang, X Hu
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018
842018
Applying large language models and chain-of-thought for automatic scoring
GG Lee, E Latif, X Wu, N Liu, X Zhai
Computers and Education: Artificial Intelligence 6, 100213, 2024
802024
Dynamic memory based attention network for sequential recommendation
Q Tan, J Zhang, N Liu, X Huang, H Yang, J Zhou, X Hu
Proceedings of the AAAI conference on artificial intelligence 35 (5), 4384-4392, 2021
762021
Accelerated Local Anomaly Detection via Resolving Attributed Networks.
N Liu, X Huang, X Hu
IJCAI, 2337-2343, 2017
722017
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