| Adaptive network automata modelling of complex networks A Muscoloni, U Michieli, Y Zhang, CV Cannistraci Preprints, 2022 | 19 | 2022 |
| HW-TSC’s participation at WMT 2021 quality estimation shared task Y Chen, C Su, Y Zhang, Y Wang, X Geng, H Yang, S Tao, G Jiaxin, ... Proceedings of the Sixth Conference on Machine Translation, 890-896, 2021 | 18 | 2021 |
| Plug-and-Play: An Efficient Post-training Pruning Method for Large Language Models Y Zhang, H Bai, H Lin, J Zhao, L Hou, CV Cannistraci The Twelfth International Conference on Learning Representations, 2024 | 8* | 2024 |
| Guis2code: A computer vision tool to generate code automatically from graphical user interface sketches Z Feng, J Fang, B Cai, Y Zhang Artificial Neural Networks and Machine Learning–ICANN 2021: 30th …, 2021 | 8 | 2021 |
| Epitopological Learning and Cannistraci-Hebb Network Shape Intelligence Brain-Inspired Theory for Ultra-Sparse Advantage in Deep Learning Y Zhang, J Zhao, W Wu, A Muscoloni, CV Cannistraci The Twelfth International Conference on Learning Representations (ICLR) 2024, 2024 | 5* | 2024 |
| Brain-Inspired Sparse Training in MLP and Transformers with Network Science Modeling via Cannistraci-Hebb Soft Rule Y Zhang, J Zhao, Z Liao, W Wu, U Michieli, CV Cannistraci Preprints, 2024 | | 2024 |
| Rotation and Permutation for Advanced Outlier Management and Efficient Quantization of LLMs H Lin, H Xu, Y Wu, J Cui, Y Zhang, L Mou, L Song, Z Sun, Y Wei arXiv preprint arXiv:2406.01721, 2024 | | 2024 |
| Sparse Spectral Training and Inference on Euclidean and Hyperbolic Neural Networks J Zhao, Y Zhang, X Li, H Liu, CV Cannistraci arXiv preprint arXiv:2405.15481, 2024 | | 2024 |
Carlo Vittorio CannistraciChair Professor & Chief Scientist, Center for Complex Network Intelligence, Tsinghua University在 mail.tsinghua.edu.cn 的电子邮件经过验证
