| Method and system for training binary quantized weight and activation function for deep neural networks LI Xinlin, S Darabi, M Belbahri, VP NIA US Patent App. 16/582,131, 2020 | 19 | 2020 |
| S: Sign-Sparse-Shift Reparametrization for Effective Training of Low-bit Shift Networks X Li, B Liu, Y Yu, W Liu, C Xu, V Partovi Nia Advances in Neural Information Processing Systems 34, 14555-14566, 2021 | 6 | 2021 |
| Euclidnets: An alternative operation for efficient inference of deep learning models X Li, M Parazeres, A Oberman, A Ghaffari, M Asgharian, VP Nia SN Computer Science 4 (5), 507, 2023 | 4 | 2023 |
| BinaryViT: pushing binary vision transformers towards convolutional models PHC Le, X Li Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 4 | 2023 |
| Deep neural networks pruning via the structured perspective regularization M Cacciola, A Frangioni, X Li, A Lodi SIAM Journal on Mathematics of Data Science 5 (4), 1051-1077, 2023 | 2 | 2023 |
| Low-bit Shift Network for End-to-End Spoken Language Understanding AR Avila, K Bibi, RH Yang, X Li, C Xing, X Chen Interspeech 2022, 2022 | 2 | 2022 |
| DenseShift: Towards Accurate and Efficient Low-Bit Power-of-Two Quantization X Li, B Liu, RH Yang, V Courville, C Xing, VP Nia Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 1* | 2023 |
| Methods, systems, and media for low-bit neural networks using bit shift operations LI Xinlin, VP NIA US Patent App. 18/521,425, 2024 | | 2024 |
| Understanding Neural Network Binarization with Forward and Backward Proximal Quantizers Y Lu, Y Yu, X Li, V Partovi Nia Advances in Neural Information Processing Systems 36, 2024 | | 2024 |
| Methods and systems for computing an output of a neural network layer LI Xinlin, MO Prazeres, AM Oberman, VP NIA US Patent App. 17/317,833, 2022 | | 2022 |
| A causal direction test for heterogeneous populations VP Nia, X Li, M Asgharian, S Hu, Y Geng, Z Chen Machine Learning with Applications 7, 100235, 2022 | | 2022 |
| Low resource computational block for a trained neural network LI Xinlin, VP NIA US Patent App. 16/900,658, 2021 | | 2021 |
Vahid Partovi NiaHuawei Noah's Ark Lab and Ecole Polytechnique de MontrealVerified email at polymtl.ca
