| Review of printed electrodes for flexible devices Q Li, J Zhang, Q Li, G Li, X Tian, Z Luo, F Qiao, X Wu, J Zhang Frontiers in Materials 5, 77, 2019 | 128 | 2019 |
| Zico: Zero-shot nas via inverse coefficient of variation on gradients G Li, Y Yang, K Bhardwaj, R Marculescu arXiv preprint arXiv:2301.11300, 2023 | 48 | 2023 |
| FLASH: Fast Neural Architecture Search with Hardware Optimization G Li, SK Mandal, UY Ogras, R Marculescu ACM Transactions on Embedded Computing Systems (TECS) 20 (5s), 1-26, 2021 | 35 | 2021 |
| Dual-mode sensor and actuator to learn human-hand tracking and grasping X Tian, Z Liu, Z Luo, X Wu, F Qiao, X Wang, G Li, J Wu, J Zhang, Z Liu, ... IEEE Transactions on Electron Devices 66 (12), 5407-5410, 2019 | 24 | 2019 |
| How does topology influence gradient propagation and model performance of deep networks with densenet-type skip connections? K Bhardwaj, G Li, R Marculescu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 23 | 2021 |
| Efficient on-device training via gradient filtering Y Yang, G Li, R Marculescu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 14 | 2023 |
| Machine unlearning for image-to-image generative models G Li, H Hsu, R Marculescu arXiv preprint arXiv:2402.00351, 2024 | 12 | 2024 |
| Concrete: A per-layer configurable framework for evaluating DNN with approximate operators Z Liu, G Li, F Qiao, Q Wei, P Jin, X Liu, H Yang ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 11 | 2019 |
| Zero-Shot Neural Architecture Search: Challenges, Solutions, and Opportunities G Li, D Hoang, K Bhardwaj, M Lin, Z Wang, R Marculescu IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024 | 8 | 2024 |
| Audioimu: Enhancing inertial sensing-based activity recognition with acoustic models D Liang, G Li, R Adaimi, R Marculescu, E Thomaz Proceedings of the 2022 ACM International Symposium on Wearable Computers, 44-48, 2022 | 8 | 2022 |
| Efficient low-rank backpropagation for vision transformer adaptation Y Yang, HY Chiang, G Li, D Marculescu, R Marculescu Advances in Neural Information Processing Systems 36, 2024 | 3 | 2024 |
| CANNON: Communication-Aware Sparse Neural Network Optimization AA Goksoy, G Li, SK Mandal, UY Ogras, R Marculescu IEEE Transactions on Emerging Topics in Computing, 2023 | 3 | 2023 |
| RARA: Dataflow based error compensation methods with runtime accuracy-reconfigurable adder S Yin, Z Liu, G Li, F Qiao, Q Wei, Y Wu, L Gao, X Liu, H Yang 2020 21st International Symposium on Quality Electronic Design (ISQED), 60-66, 2020 | 3 | 2020 |
| A hardware prototype targeting distributed deep learning for on-device inference AJ Farcas, G Li, K Bhardwaj, R Marculescu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 3 | 2020 |
| Dropout-Based Rashomon Set Exploration for Efficient Predictive Multiplicity Estimation H Hsu, G Li, S Hu arXiv preprint arXiv:2402.00728, 2024 | 1 | 2024 |
| Cache and Reuse: Rethinking the Efficiency of On-device Transfer Learning Y Yang, HY Chiang, G Li, D Marculescu, R Marculescu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | | 2024 |
| Fast-NTK: Parameter-Efficient Unlearning for Large-Scale Models G Li, H Hsu, CF Chen, R Marculescu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | | 2024 |
| TIPS: topologically important path sampling for anytime neural networks G Li, K Bhardwaj, Y Yang, R Marculescu International Conference on Machine Learning, 19343-19359, 2023 | | 2023 |
| Efficient Low-rank Backpropagation for Vision Transformer Adaptation YYHYC Guihong, LDMR Marculescu | | |
| On the relationship between topology and gradient propagation in deep networks K Bhardwaj, G Li, R Marculescu | | |
Radu MarculescuThe University of Texas at AustinVerified email at utexas.edu
