| Order matters: Semantic-aware neural networks for binary code similarity detection Z Yu, R Cao, Q Tang, S Nie, J Huang, S Wu AAAI 2020, 1145-1152, 2020 | 242 | 2020 |
| Adaptive User Modeling with Long and Short-Term Preferences for Personalized Recommendation. Z Yu, J Lian, A Mahmoody, G Liu, X Xie IJCAI 2019, 4213-4219, 2019 | 190 | 2019 |
| Codecmr: Cross-modal retrieval for function-level binary source code matching Z Yu, W Zheng, J Wang, Q Tang, S Nie, S Wu NeurIPS 2020, 3872-3883, 2020 | 88 | 2020 |
| Sliced recurrent neural networks Z Yu, G Liu COLING 2018, 2953-2964, 2018 | 67 | 2018 |
| Emotion detection for misinformation: A review Z Liu, T Zhang, K Yang, P Thompson, Z Yu, S Ananiadou Information Fusion 107, 102300, 2024 | 30 | 2024 |
| Neuron-Level Knowledge Attribution in Large Language Models Z Yu, S Ananiadou EMNLP 2024 Main, 3267-3280, 2024 | 12* | 2024 |
| How do Large Language Models Learn In-Context? Query and Key Matrices of In-Context Heads are Two Towers for Metric Learning Z Yu, S Ananiadou EMNLP 2024 Main, 3281-3292, 2024 | 11 | 2024 |
| Interpreting arithmetic mechanism in large language models through comparative neuron analysis Z Yu, S Ananiadou EMNLP 2024 Main, 3293-3306, 2024 | 7 | 2024 |
| Extensive Pyramid Networks for Text Classification. L Shi, Z Yu, G Liu Aust. J. Intell. Inf. Process. Syst. 17 (1), 17-23, 2019 | 3 | 2019 |
| Understanding Multimodal LLMs: the Mechanistic Interpretability of Llava in Visual Question Answering Z Yu, S Ananiadou arXiv preprint arXiv:2411.10950, 2024 | 2 | 2024 |
| Dissect Sliced-RNN in Multi-Attention view. Z Yu, L Shi, G Liu Aust. J. Intell. Inf. Process. Syst. 17 (2), 61-68, 2019 | 1 | 2019 |
| Back Attention: Understanding and Enhancing Multi-Hop Reasoning in Large Language Models Z Yu, Y Belinkov, S Ananiadou arXiv preprint arXiv:2502.10835, 2025 | | 2025 |
| Understanding and Mitigating Gender Bias in LLMs via Interpretable Neuron Editing Z Yu, S Ananiadou arXiv preprint arXiv:2501.14457, 2025 | | 2025 |
Sophia AnaniadouProfessor, Computer Science, Manchester University, National Centre for Text Mining在 manchester.ac.uk 的电子邮件经过验证