| Are transformers effective for time series forecasting? A Zeng, M Chen, L Zhang, Q Xu Proceedings of the AAAI conference on artificial intelligence 37 (9), 11121 …, 2023 | 1927 | 2023 |
| Approximate computing: A survey Q Xu, T Mytkowicz, NS Kim IEEE Design & Test 33 (1), 8-22, 2015 | 679 | 2015 |
| Scinet: Time series modeling and forecasting with sample convolution and interaction M Liu, A Zeng, M Chen, Z Xu, Q Lai, L Ma, Q Xu Advances in Neural Information Processing Systems 35, 5816-5828, 2022 | 408 | 2022 |
| Trace signal selection for visibility enhancement in post-silicon validation X Liu, Q Xu 2009 Design, Automation & Test in Europe Conference & Exhibition, 1338-1343, 2009 | 390 | 2009 |
| VeriTrust: Verification for hardware trust J Zhang, F Yuan, L Wei, Z Sun, Q Xu Proceedings of the 50th Annual Design Automation Conference, 1-8, 2013 | 346 | 2013 |
| On reconfiguration-oriented approximate adder design and its application R Ye, T Wang, F Yuan, R Kumar, Q Xu 2013 IEEE/ACM international conference on computer-aided design (ICCAD), 48-54, 2013 | 334 | 2013 |
| ApproxANN: An approximate computing framework for artificial neural network Q Zhang, T Wang, Y Tian, F Yuan, Q Xu 2015 Design, Automation & Test in Europe Conference & Exhibition (DATE), 701-706, 2015 | 278 | 2015 |
| On reusing test access mechanisms for debug data transfer in SoC post-silicon validation X Liu, Q Xu 2008 17th Asian Test Symposium, 303-308, 2008 | 265 | 2008 |
| I know what you see: Power side-channel attack on convolutional neural network accelerators L Wei, B Luo, Y Li, Y Liu, Q Xu Proceedings of the 34th Annual Computer Security Applications Conference …, 2018 | 256 | 2018 |
| Fault injection attack on deep neural network Y Liu, L Wei, B Luo, Q Xu 2017 IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 131-138, 2017 | 256 | 2017 |
| Srnet: Improving generalization in 3d human pose estimation with a split-and-recombine approach A Zeng, X Sun, F Huang, M Liu, Q Xu, S Lin Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 223 | 2020 |
| Detrust: Defeating hardware trust verification with stealthy implicitly-triggered hardware trojans J Zhang, F Yuan, Q Xu Proceedings of the 2014 ACM SIGSAC conference on computer and communications …, 2014 | 200 | 2014 |
| Lifetime reliability-aware task allocation and scheduling for MPSoC platforms L Huang, F Yuan, Q Xu 2009 Design, Automation & Test in Europe Conference & Exhibition, 51-56, 2009 | 181 | 2009 |
| Towards imperceptible and robust adversarial example attacks against neural networks B Luo, Y Liu, L Wei, Q Xu Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018 | 166 | 2018 |
| Learning skeletal graph neural networks for hard 3d pose estimation A Zeng, X Sun, L Yang, N Zhao, M Liu, Q Xu Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 156 | 2021 |
| Time series is a special sequence: Forecasting with sample convolution and interaction M Liu, A Zeng, Z Xu, Q Lai, Q Xu arXiv preprint arXiv:2106.09305 1 (9), 2021 | 150 | 2021 |
| On effective TSV repair for 3D-stacked ICs L Jiang, Q Xu, B Eklow 2012 Design, Automation & Test in Europe Conference & Exhibition (DATE), 793-798, 2012 | 122 | 2012 |
| Test architecture design and optimization for three-dimensional SoCs L Jiang, L Huang, Q Xu 2009 Design, Automation & Test in Europe Conference & Exhibition, 220-225, 2009 | 122 | 2009 |
| On code execution tracking via power side-channel Y Liu, L Wei, Z Zhou, K Zhang, W Xu, Q Xu Proceedings of the 2016 ACM SIGSAC conference on computer and communications …, 2016 | 111 | 2016 |
| Approxit: An approximate computing framework for iterative methods Q Zhang, F Yuan, R Ye, Q Xu Proceedings of the 51st Annual Design Automation Conference, 1-6, 2014 | 97 | 2014 |
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