| Efficient kNN classification algorithm for big data Z Deng, X Zhu, D Cheng, M Zong, S Zhang Neurocomputing 195, 143-148, 2016 | 699 | 2016 |
| A novel kNN algorithm with data-driven k parameter computation S Zhang, D Cheng, Z Deng, M Zong, X Deng Pattern Recognition Letters 109, 44-54, 2018 | 275 | 2018 |
| kNN Algorithm with Data-Driven k Value D Cheng, S Zhang, Z Deng, Y Zhu, M Zong Advanced Data Mining and Applications: 10th International Conference, ADMA …, 2014 | 128 | 2014 |
| Supervised feature selection algorithm via discriminative ridge regression S Zhang, D Cheng, R Hu, Z Deng World Wide Web 21, 1545-1562, 2018 | 28 | 2018 |
| Interpretable AMR-Based Question Decomposition for Multi-hop Question Answering Z Deng, Y Zhu, Y Chen, M Witbrock, P Riddle IJCAI-ECAI 2022, 4093-4099, 2022 | 26 | 2022 |
| Multi-scale graph fusion for co-saliency detection R Hu, Z Deng, X Zhu Proceedings of the AAAI conference on artificial intelligence 35 (9), 7789-7796, 2021 | 26 | 2021 |
| Improved spectral clustering algorithm based on similarity measure J Yan, D Cheng, M Zong, Z Deng Advanced Data Mining and Applications: 10th International Conference, ADMA …, 2014 | 15 | 2014 |
| Sparse sample self-representation for subspace clustering Z Deng, S Zhang, L Yang, M Zong, D Cheng Neural Computing and Applications 29, 43-49, 2018 | 11 | 2018 |
| Leverage triple relational structures via low-rank feature reduction for multi-output regression S Zhang, L Yang, Z Deng, D Cheng, Y Li Multimedia Tools and Applications 76, 17461-17477, 2017 | 11 | 2017 |
| Robust Node Classification on Graph Data with Graph and Label Noise Y Zhu, L Feng, Z Deng, Y Chen, R Amor, M Witbrock Proceedings of the AAAI Conference on Artificial Intelligence 38 (15), 17220 …, 2024 | 10 | 2024 |
| Multi-step deductive reasoning over natural language: An empirical study on out-of-distribution generalisation Q Bao, AY Peng, T Hartill, N Tan, Z Deng, M Witbrock, J Liu arXiv preprint arXiv:2207.14000, 2022 | 8 | 2022 |
| Abstract Meaning Representation-Based Logic-Driven Data Augmentation for Logical Reasoning Q Bao, AY Peng, Z Deng, W Zhong, N Tan, N Young, Y Chen, Y Zhu, ... The Findings of 62nd Annual Meeting of the Association for Computational …, 2024 | 7* | 2024 |
| Sparse sample self-representation for subspace clustering L Dahua, Y Lifeng, D Zhenyun, L Yonggang, L Yan CAAI transactions on intelligent systems 11, 696-702, 2016 | 7 | 2016 |
| Document-level Claim Extraction and Decontextualisation for Fact-Checking Z Deng, M Schlichtkrull, A Vlachos The 62nd Annual Meeting of the Association for Computational Linguistics …, 2024 | 5 | 2024 |
| The automated verification of textual claims (averitec) shared task M Schlichtkrull, Y Chen, C Whitehouse, Z Deng, M Akhtar, R Aly, Z Guo, ... arXiv preprint arXiv:2410.23850, 2024 | 4 | 2024 |
| Prompt-based conservation learning for multi-hop question answering Z Deng, Y Zhu, Y Chen, Q Qi, M Witbrock, P Riddle Proceedings of the 29th International Conference on Computational Linguistics, 2022 | 4 | 2022 |
| Efficient subspace clustering based on self-representation and grouping effect S Zhang, Y Li, D Cheng, Z Deng, L Yang Neural Computing and Applications 29, 51-59, 2018 | 4 | 2018 |
| Enhancing logical reasoning of large language models through logic-driven data augmentation Q Bao, AY Peng, Z Deng, W Zhong, G Gendron, T Pistotti, N Tan, N Young, ... arXiv preprint ArXiv:2305.12599, 177-190, 2023 | 2 | 2023 |
| Chain of Propagation Prompting for Node Classification Y Zhu, Z Deng, Y Chen, R Amor, M Witbrock Proceedings of the 31st ACM International Conference on Multimedia, 3012-3020, 2023 | 1 | 2023 |
| Stable Causal Feature Selection based on Direct Causal Effect Estimation X Du, Q Chen, D Cheng, Q Huang, J Cao, Z Deng, S Zhang 2022 IEEE 24th Int Conf on High Performance Computing & Communications; 8th …, 2022 | 1 | 2022 |
Michael WitbrockProfessor of Computer Science, Waipapa Taumata Rau: The University of AucklandOverená e-mailová adresa na: auckland.ac.nz