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ORCIDXinlin Li 0001
Person information
- affiliation: Microsoft, Mississauga, ON, Canada
- affiliation: Huawei Montreal Research Centre, Montreal, QC, Canada
Other persons with the same name
- Xinlin Li — disambiguation page
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2020 – today
- 2024
[i12]Yiwei Lu, Yaoliang Yu, Xinlin Li, Vahid Partovi Nia:
Understanding Neural Network Binarization with Forward and Backward Proximal Quantizers. CoRR abs/2402.17710 (2024)- 2023
- [j2]Matteo Cacciola, Antonio Frangioni, Xinlin Li, Andrea Lodi
:
Deep Neural Networks Pruning via the Structured Perspective Regularization. SIAM J. Math. Data Sci. 5(4): 1051-1077 (2023) - [j1]Xinlin Li, Mariana Parazeres, Adam Oberman, Alireza Ghaffari, Masoud Asgharian, Vahid Partovi Nia:
EuclidNets: An Alternative Operation for Efficient Inference of Deep Learning Models. SN Comput. Sci. 4(5): 507 (2023) - [c6]Phuoc-Hoan Charles Le, Xinlin Li:
BinaryViT: Pushing Binary Vision Transformers Towards Convolutional Models. CVPR Workshops 2023: 4665-4674 - [c5]Xinlin Li, Bang Liu, Rui Heng Yang, Vanessa Courville, Chao Xing, Vahid Partovi Nia:
DenseShift : Towards Accurate and Efficient Low-Bit Power-of-Two Quantization. ICCV 2023: 16964-16974 - [c4]Yiwei Lu, Yaoliang Yu, Xinlin Li, Vahid Partovi Nia:
Understanding Neural Network Binarization with Forward and Backward Proximal Quantizers. NeurIPS 2023 - [i11]Vahid Partovi Nia, Guojun Zhang, Ivan Kobyzev, Michael R. Metel, Xinlin Li, Ke Sun, Sobhan Hemati, Masoud Asgharian, Linglong Kong, Wulong Liu, Boxing Chen:
Mathematical Challenges in Deep Learning. CoRR abs/2303.15464 (2023) - [i10]Phuoc-Hoan Charles Le, Xinlin Li:
BinaryViT: Pushing Binary Vision Transformers Towards Convolutional Models. CoRR abs/2306.16678 (2023) - 2022
- [c3]Mariana Oliveira Prazeres, Xinlin Li, Adam M. Oberman, Vahid Partovi Nia:
EuclidNets: Combining Hardware and Architecture Design for Efficient Training and Inference. ICPRAM 2022: 141-151 - [c2]Anderson R. Avila, Khalil Bibi, Rui Heng Yang, Xinlin Li, Chao Xing, Xiao Chen:
Low-bit Shift Network for End-to-End Spoken Language Understanding. INTERSPEECH 2022: 2698-2702 - [i9]Matteo Cacciola, Antonio Frangioni, Xinlin Li, Andrea Lodi:
Deep Neural Networks pruning via the Structured Perspective Regularization. CoRR abs/2206.14056 (2022) - [i8]Anderson R. Avila, Khalil Bibi, Rui Heng Yang, Xinlin Li, Chao Xing, Xiao Chen:
Low-bit Shift Network for End-to-End Spoken Language Understanding. CoRR abs/2207.07497 (2022) - [i7]Xinlin Li, Bang Liu, Rui Heng Yang, Vanessa Courville, Chao Xing, Vahid Partovi Nia:
DenseShift: Towards Accurate and Transferable Low-Bit Shift Network. CoRR abs/2208.09708 (2022) - [i6]Xinlin Li, Mariana Parazeres, Adam M. Oberman, Alireza Ghaffari, Masoud Asgharian, Vahid Partovi Nia:
EuclidNets: An Alternative Operation for Efficient Inference of Deep Learning Models. CoRR abs/2212.11803 (2022) - 2021
- [c1]Xinlin Li, Bang Liu, Yaoliang Yu, Wulong Liu, Chunjing Xu, Vahid Partovi Nia:
S$^3$: Sign-Sparse-Shift Reparametrization for Effective Training of Low-bit Shift Networks. NeurIPS 2021: 14555-14566 - [i5]Xinlin Li, Bang Liu, Yaoliang Yu, Wulong Liu, Chunjing Xu, Vahid Partovi Nia:
S3: Sign-Sparse-Shift Reparametrization for Effective Training of Low-bit Shift Networks. CoRR abs/2107.03453 (2021) - 2020
- [i4]Mahdi Zolnouri, Xinlin Li, Vahid Partovi Nia:
Importance of Data Loading Pipeline in Training Deep Neural Networks. CoRR abs/2005.02130 (2020) - [i3]Vahid Partovi Nia, Xinlin Li, Masoud Asgharian, Shoubo Hu, Zhitang Chen, Yanhui Geng:
Clustering Causal Additive Noise Models. CoRR abs/2006.04877 (2020) - [i2]Alejandro Murua, Ramchalam Ramakrishnan, Xinlin Li, Rui Heng Yang, Vahid Partovi Nia:
Tensor train decompositions on recurrent networks. CoRR abs/2006.05442 (2020)
2010 – 2019
- 2019
- [i1]Xinlin Li, Vahid Partovi Nia:
Random Bias Initialization Improving Binary Neural Network Training. CoRR abs/1909.13446 (2019)
Coauthor Index
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