| Machine learning approaches for thermoelectric materials research T Wang, C Zhang, H Snoussi, G Zhang Advanced Functional Materials 30 (5), 1906041, 2020 | 184 | 2020 |
| Lqer: Low-rank quantization error reconstruction for llms C Zhang, J Cheng, GA Constantinides, Y Zhao arXiv preprint arXiv:2402.02446, 2024 | 15 | 2024 |
| Revisiting block-based quantisation: What is important for sub-8-bit llm inference? C Zhang, J Cheng, I Shumailov, GA Constantinides, Y Zhao arXiv preprint arXiv:2310.05079, 2023 | 7 | 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 | 4 | 2024 |
| Locking Machine Learning Models into Hardware E Clifford, A Saravanan, H Langford, C Zhang, Y Zhao, R Mullins, ... arXiv preprint arXiv:2405.20990, 2024 | 1 | 2024 |
| QERA: an Analytical Framework for Quantization Error Reconstruction C Zhang, JTH Wong, C Xiao, GA Constantinides, Y Zhao arXiv preprint arXiv:2410.06040, 2024 | | 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 | | 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 |
| MASE: An Efficient Representation for Software-Defined ML Hardware System Exploration C Zhang, J Cheng, Z Yu, Y Zhao | | |