| Federated learning with non-iid data Y Zhao, M Li, L Lai, N Suda, D Civin, V Chandra arXiv preprint arXiv:1806.00582, 2018 | 3224 | 2018 |
| AppSAT: Approximately deobfuscating integrated circuits K Shamsi, M Li, T Meade, Z Zhao, DZ Pan, Y Jin 2017 IEEE International Symposium on Hardware Oriented Security and Trust …, 2017 | 378 | 2017 |
| Multi-scale high-resolution vision transformer for semantic segmentation J Gu, H Kwon, D Wang, W Ye, M Li, YH Chen, L Lai, V Chandra, DZ Pan Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 259 | 2022 |
| Recnmp: Accelerating personalized recommendation with near-memory processing L Ke, U Gupta, BY Cho, D Brooks, V Chandra, U Diril, A Firoozshahian, ... 2020 ACM/IEEE 47th Annual International Symposium on Computer Architecture …, 2020 | 259 | 2020 |
| Provably secure camouflaging strategy for IC protection M Li, K Shamsi, T Meade, Z Zhao, B Yu, Y Jin, DZ Pan IEEE transactions on computer-aided design of integrated circuits and …, 2017 | 205 | 2017 |
| Cyclic obfuscation for creating SAT-unresolvable circuits K Shamsi, M Li, T Meade, Z Zhao, DZ Pan, Y Jin Proceedings of the Great Lakes Symposium on VLSI 2017, 173-178, 2017 | 198 | 2017 |
| Keepaugment: A simple information-preserving data augmentation approach C Gong, D Wang, M Li, V Chandra, Q Liu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 169 | 2021 |
| Co-exploration of neural architectures and heterogeneous asic accelerator designs targeting multiple tasks L Yang, Z Yan, M Li, H Kwon, L Lai, T Krishna, V Chandra, W Jiang, Y Shi 2020 57th ACM/IEEE design automation conference (DAC), 1-6, 2020 | 149 | 2020 |
| Attentivenas: Improving neural architecture search via attentive sampling D Wang, M Li, C Gong, V Chandra Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 129 | 2021 |
| IP protection and supply chain security through logic obfuscation: A systematic overview K Shamsi, M Li, K Plaks, S Fazzari, DZ Pan, Y Jin ACM Transactions on Design Automation of Electronic Systems (TODAES) 24 (6 …, 2019 | 105 | 2019 |
| KC2: Key-condition crunching for fast sequential circuit deobfuscation K Shamsi, M Li, DZ Pan, Y Jin 2019 Design, Automation & Test in Europe Conference & Exhibition (DATE), 534-539, 2019 | 101 | 2019 |
| Federated learning with non-iid data. arXiv 2018 Y Zhao, M Li, L Lai, N Suda, D Civin, V Chandra arXiv preprint arXiv:1806.00582, 2018 | 99 | 2018 |
| Federated learning with non-iid data (2018) Y Zhao, M Li, L Lai, N Suda, D Civin, V Chandra arXiv preprint arXiv:1806.00582, 2018 | 97 | 2018 |
| Federated learning with non-iid data. arXiv Y Zhao, M Li, L Lai, N Suda, D Civin, V Chandra arXiv preprint arXiv:1806.00582 10, 2018 | 94 | 2018 |
| Nasvit: Neural architecture search for efficient vision transformers with gradient conflict-aware supernet training C Gong, D Wang ICLR Proceedings 2022, 2022 | 93 | 2022 |
| On the approximation resiliency of logic locking and IC camouflaging schemes K Shamsi, T Meade, M Li, DZ Pan, Y Jin IEEE Transactions on Information Forensics and Security 14 (2), 347-359, 2018 | 83 | 2018 |
| Cross-lock: Dense layout-level interconnect locking using cross-bar architectures K Shamsi, M Li, DZ Pan, Y Jin Proceedings of the 2018 Great Lakes Symposium on VLSI, 147-152, 2018 | 78 | 2018 |
| Alphanet: Improved training of supernets with alpha-divergence D Wang, C Gong, M Li, Q Liu, V Chandra International Conference on Machine Learning, 10760-10771, 2021 | 77 | 2021 |
| Vision transformers with patch diversification C Gong, D Wang, M Li, V Chandra, Q Liu arXiv preprint arXiv:2104.12753, 2021 | 68 | 2021 |
| PyTorchVideo: A deep learning library for video understanding H Fan, T Murrell, H Wang, KV Alwala, Y Li, Y Li, B Xiong, N Ravi, M Li, ... Proceedings of the 29th ACM international conference on multimedia, 3783-3786, 2021 | 66 | 2021 |
David Z. PanProfessor, Silicon Labs Endowed Chair, ECE Dept., University of Texas at AustinПотвърден имейл адрес: ece.utexas.edu
