| A trusted consensus scheme for collaborative learning in the edge ai computing domain K Wang, SP Xu, CM Chen, SKH Islam, MM Hassan, C Savaglio, P Pace, ... IEEE Network 35 (1), 204-210, 2021 | 23 | 2021 |
| Neural-architecture-search-based multiobjective cognitive automation system EK Wang, SP Xu, CM Chen, N Kumar IEEE Systems Journal 15 (2), 2918-2925, 2020 | 17 | 2020 |
| An interpretive perspective: Adversarial trojaning attack on neural-architecture-search enabled edge AI systems SP Xu, K Wang, MR Hassan, MM Hassan, CM Chen IEEE Transactions on Industrial Informatics 19 (1), 503-510, 2022 | 12 | 2022 |
| Adversarial robustness in graph-based neural architecture search for edge ai transportation systems P Xu, K Wang, MM Hassan, CM Chen, W Lin, MR Hassan, G Fortino IEEE Transactions on Intelligent Transportation Systems 24 (8), 8465-8474, 2022 | 10 | 2022 |
| Do not train it: A linear neural architecture search of graph neural networks P Xu, L Zhang, X Liu, J Sun, Y Zhao, H Yang, B Yu International Conference on Machine Learning, 38826-38847, 2023 | 7 | 2023 |
| Lay-Net: Grafting Netlist Knowledge on Layout-Based Congestion Prediction S Zheng, L Zou, P Xu, S Liu, B Yu, M Wong 2023 IEEE/ACM International Conference on Computer Aided Design (ICCAD), 1-9, 2023 | 6 | 2023 |
| Performance-Driven Analog Layout Automation: Current Status and Future Directions P Xu, J Li, TY Ho, B Yu, K Zhu 2024 29th Asia and South Pacific Design Automation Conference (ASP-DAC), 679-685, 2024 | 4 | 2024 |
| Efficient bilevel source mask optimization G Chen, H He, P Xu, H Geng, B Yu Proceedings of the 61st ACM/IEEE Design Automation Conference, 1-6, 2024 | 2 | 2024 |
| Neuroselect: Learning to select clauses in sat solvers H Liu, P Xu, Y Pu, L Yin, HL Zhen, M Yuan, TY Ho, B Yu Proceedings of the 61st ACM/IEEE Design Automation Conference, 1-6, 2024 | 1 | 2024 |
| Learning-driven Physically-aware Large-scale Circuit Gate Sizing Y Ye, P Xu, L Ren, T Chen, H Yan, B Yu, L Shi arXiv preprint arXiv:2403.08193, 2024 | 1 | 2024 |
| LightBERT: A distilled Chinese BERT model Y Zhang, Y Li, P Xu, R Xu, J Li, G Shi, F Hu International Conference on AI and Mobile Services, 58-67, 2021 | 1 | 2021 |
| RankTuner: When Design Tool Parameter Tuning Meets Preference Bayesian Optimization P Xu, S Zheng, Y Ye, C Bai, S Xu, H Geng, TY Ho, B Yu | | 2024 |
| Disentangle, Align and Generalize: Learning A Timing Predictor from Different Technology Nodes X Zhang, B Zhu, F Liu, Z Wang, P Xu, H Xu, B Yu Proceedings of the 61st ACM/IEEE Design Automation Conference, 1-6, 2024 | | 2024 |
| Performance-driven Analog Routing via Heterogeneous 3DGNN and Potential Relaxation P Xu, G Chen, K Zhu, T Chen, TY Ho, B Yu Proceedings of the 61st ACM/IEEE Design Automation Conference, 1-6, 2024 | | 2024 |
| p-Laplacian Adaptation for Generative Pre-trained Vision-Language Models H Wu, X Zhang, P Xu, P Liao, X Yao, B Yu Proceedings of the AAAI Conference on Artificial Intelligence 38 (6), 6003-6011, 2024 | | 2024 |
| DeepOTF: Learning Equations-constrained Prediction for Electromagnetic Behavior P Xu, S XU, T Chen, G Chen, T Ho, B Yu ACM Transactions on Design Automation of Electronic Systems, 2024 | | 2024 |
| Contrastive Learning for Multiple Models in One Supernet S Xu, Y Li, Y Zhang, R Xu, J Li, G Shi, F Hu International Conference on Cognitive Computing, 14-23, 2021 | | 2021 |
