| A memristor crossbar based computing engine optimized for high speed and accuracy C Liu, Q Yang, B Yan, J Yang, X Du, W Zhu, H Jiang, Q Wu, M Barnell, ... 2016 IEEE Computer Society Annual Symposium on VLSI (ISVLSI), 110-115, 2016 | 49 | 2016 |
| Accurate inference with inaccurate rram devices: A joint algorithm-design solution G Charan, A Mohanty, X Du, G Krishnan, RV Joshi, Y Cao IEEE Journal on Exploratory Solid-State Computational Devices and Circuits 6 …, 2020 | 41 | 2020 |
| Random Sparse Adaptation for Accurate Inference with Inaccurate Multi-Level RRAM Arrays A Mohanty, X Du, PY Chen, J Seo, S Yu, Y Cao IEEE International Electron Devices Meeting (IEDM), 2017 | 41 | 2017 |
| Accurate Inference with Inaccurate RRAM Devices: Statistical Data, Model Transfer, and On-line Adaptation G Charan, J Hazra, K Beckmann, X Du, G Krishnan, R Joshi, N Cady, ... Design Automation Conference (DAC) 2020, 2020 | 34 | 2020 |
| GAR: Graph Assisted Reasoning for Object Detection Z Li, X Du, Y Cao The IEEE Winter Conference on Applications of Computer Vision (WACV), 1295-1304, 2020 | 21 | 2020 |
| Efficient Network Construction through Structural Plasticity X Du, Z Li, Y Ma, Y Cao Journal on Emerging and Selected Topics in Circuits and Systems 9 (3), 453 - 464, 2019 | 16 | 2019 |
| Robust RRAM-based in-memory computing in light of model stability G Krishnan, J Sun, J Hazra, X Du, M Liehr, Z Li, K Beckmann, RV Joshi, ... 2021 IEEE International Reliability Physics Symposium (IRPS), 1-5, 2021 | 15 | 2021 |
| Noise-Based Selection of Robust Inherited Model for Accurate Continual Learning X Du, Z Li, J Seo, F Liu, Y Cao Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 14 | 2020 |
| Towards Efficient Neural Networks On-a-chip: Joint Hardware-Algorithm Approaches X Du, G Krishnan, A Mohanty, Z Li, G Charan, Y Cao 2019 China Semiconductor Technology International Conference (CSTIC), 1-5, 2019 | 13 | 2019 |
| Structural Pruning in Deep Neural Networks: A Small-World Approach G Krishnan, X Du, Y Cao https://arxiv.org/abs/1911.04453, 2019 | 11 | 2019 |
| Cgap: Continuous growth and pruning for efficient deep learning X Du, Z Li, Y Cao arXiv preprint arXiv:1905.11533, 2019, 2019 | 11 | 2019 |
| Exploring model stability of deep neural networks for reliable RRAM-based in-memory acceleration G Krishnan, L Yang, J Sun, J Hazra, X Du, M Liehr, Z Li, K Beckmann, ... IEEE Transactions on Computers 71 (11), 2740-2752, 2022 | 9 | 2022 |
| Alternate Model Growth and Pruning for Efficient Training of Recommendation Systems X Du, B Bhushanam, J Yu, D Choudhary, T Gao, S Wong, L Feng, J Park, ... IEEE ICMLA 2021, 2021 | 8 | 2021 |
| Single-Net Continual Learning with Progressive Segmented Training (PST) X Du, G Charan, F Liu, Y Cao 2019 18th IEEE International Conference On Machine Learning And Applications …, 2019 | 7 | 2019 |
| Future gradient descent for adapting the temporal shifting data distribution in online recommendation systems M Ye, R Jiang, H Wang, D Choudhary, X Du, B Bhushanam, A Mokhtari, ... Uncertainty in Artificial Intelligence, 2256-2266, 2022 | 5 | 2022 |
| Design limits of in-memory computing: Beyond the crossbar G Krishnan, J Hazra, M Liehr, X Du, K Beckmann, RV Joshi, NC Cady, ... 2021 5th IEEE Electron Devices Technology & Manufacturing Conference (EDTM), 1-3, 2021 | 5 | 2021 |
| Efficient and Modularized Training on FPGA for Real-time Applications SK Venkataramanaiah, X Du, Z Li, S Yin, Y Cao, J Seo Proceedings of the Twenty-Ninth International Joint Conference on Artificial …, 2020 | 4 | 2020 |
| Evolutionary NAS in Light of Model Stability for Accurate Continual Learning FLYC Xiaocong Du, Zheng Li, Jingbo Sun 2021 International Joint Conference on Neural Networks (IJCNN), 2021 | 3 | 2021 |
| DAT-RNN: trajectory prediction with diverse attention Z Li, X Du, Y Cao 2020 19th IEEE International conference on machine learning and applications …, 2020 | 3 | 2020 |
| Harmless transfer learning for item embeddings C Gong, X Du NAACL 2022, 2022 | 2 | 2022 |
