| Quantumnat: quantum noise-aware training with noise injection, quantization and normalization H Wang, J Gu, Y Ding, Z Li, FT Chong, DZ Pan, S Han Proceedings of the 59th ACM/IEEE design automation conference, 1-6, 2022 | 49 | 2022 |
| Qoc: quantum on-chip training with parameter shift and gradient pruning H Wang, Z Li, J Gu, Y Ding, DZ Pan, S Han Proceedings of the 59th ACM/IEEE Design Automation Conference, 655-660, 2022 | 45 | 2022 |
| Dubhe: Towards data unbiasedness with homomorphic encryption in federated learning client selection S Zhang, Z Li, Q Chen, W Zheng, J Leng, M Guo Proceedings of the 50th International Conference on Parallel Processing, 1-10, 2021 | 36 | 2021 |
| Quest: Graph transformer for quantum circuit reliability estimation H Wang, P Liu, J Cheng, Z Liang, J Gu, Z Li, Y Ding, W Jiang, Y Shi, ... arXiv preprint arXiv:2210.16724, 2022 | 31 | 2022 |
| {DVABatch}: Diversity-aware {Multi-Entry}{Multi-Exit} batching for efficient processing of {DNN} services on {GPUs} W Cui, H Zhao, Q Chen, H Wei, Z Li, D Zeng, C Li, M Guo 2022 USENIX Annual Technical Conference (USENIX ATC 22), 183-198, 2022 | 30 | 2022 |
