| Machine learning approaches for thermoelectric materials research T Wang, C Zhang, H Snoussi, G Zhang Advanced Functional Materials 30 (5), 1906041, 2020 | 232 | 2020 |
| Lqer: Low-rank quantization error reconstruction for llms C Zhang, J Cheng, GA Constantinides, Y Zhao arXiv preprint arXiv:2402.02446, 2024 | 31 | 2024 |
| Revisiting block-based quantisation: What is important for sub-8-bit llm inference? C Zhang, J Cheng, I Shumailov, G Constantinides, Y Zhao Proceedings of the 2023 Conference on Empirical Methods in Natural Language …, 2023 | 15 | 2023 |
| Optimised grouped-query attention mechanism for transformers Y Chen, C Zhang, X Gao, RD Mullins, GA Constantinides, Y Zhao arXiv preprint arXiv:2406.14963, 2024 | 7 | 2024 |
| QERA: an analytical framework for quantization error reconstruction C Zhang, JTH Wong, C Xiao, GA Constantinides, Y Zhao ICLR, 2025 | 6 | 2025 |
| Locking machine learning models into hardware E Clifford, A Saravanan, H Langford, C Zhang, Y Zhao, R Mullins, ... 2025 IEEE Conference on Secure and Trustworthy Machine Learning (SaTML), 302-320, 2025 | 4 | 2025 |
| MASE: An Efficient Representation for Software-Defined ML Hardware System Exploration C Zhang, J Cheng, Z Yu, Y Zhao NeurIPS 2023 Workshop on Machine Learning Systems (MLSys), 2023 | 4 | 2023 |
| A3: an analytical low-rank approximation framework for attention JTH Wong, C Zhang, X Cao, P Gimenes, GA Constantinides, W Luk, ... arXiv preprint arXiv:2505.12942, 2025 | 3 | 2025 |
| Hardware and Software Platform Inference C Zhang, H Foerster, RD Mullins, Y Zhao, I Shumailov arXiv preprint arXiv:2411.05197, 2024 | 2 | 2024 |
| Hass: Hardware-aware sparsity search for dataflow dnn accelerator Z Yu, S Sreeram, K Agrawal, J Wu, A Montgomerie-Corcoran, C Zhang, ... 2024 34th International Conference on Field-Programmable Logic and …, 2024 | 1 | 2024 |
| Unlocking the Global Synergies in Low-Rank Adapters Z Zhang, C Zhang, X Gao, RD Mullins, GA Constantinides, Y Zhao arXiv preprint arXiv:2406.14956, 2024 | | 2024 |
