Xinlin Li

According to our database, Xinlin Li authored at least 15 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Deep Neural Networks Pruning via the Structured Perspective Regularization.

Matteo Cacciola, Antonio Frangioni, Xinlin Li, Andrea Lodi

SIAM J. Math. Data Sci., December, 2023

EuclidNets: An Alternative Operation for Efficient Inference of Deep Learning Models.

Xinlin Li, Mariana Parazeres, Adam Oberman, Alireza Ghaffari, Masoud Asgharian, Vahid Partovi Nia

SN Comput. Sci., September, 2023

Mathematical Challenges in Deep Learning.

Vahid Partovi Nia, Guojun Zhang, Ivan Kobyzev, Michael R. Metel, Xinlin Li, Ke Sun, Sobhan Hemati, Masoud Asgharian, Linglong Kong, Wulong Liu, Boxing Chen

CoRR, 2023

Understanding Neural Network Binarization with Forward and Backward Proximal Quantizers.

Yiwei Lu, Yaoliang Yu, Xinlin Li, Vahid Partovi Nia

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

DenseShift : Towards Accurate and Efficient Low-Bit Power-of-Two Quantization.

Xinlin Li, Bang Liu, Rui Heng Yang, Vanessa Courville, Chao Xing, Vahid Partovi Nia

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

BinaryViT: Pushing Binary Vision Transformers Towards Convolutional Models.

Phuoc-Hoan Charles Le, Xinlin Li

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

DenseShift: Towards Accurate and Transferable Low-Bit Shift Network.

Xinlin Li, Bang Liu, Rui Heng Yang, Vanessa Courville, Chao Xing, Vahid Partovi Nia

CoRR, 2022

Low-bit Shift Network for End-to-End Spoken Language Understanding.

Anderson R. Avila, Khalil Bibi, Rui Heng Yang, Xinlin Li, Chao Xing, Xiao Chen

Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

EuclidNets: Combining Hardware and Architecture Design for Efficient Training and Inference.

Mariana Oliveira Prazeres, Xinlin Li, Adam M. Oberman, Vahid Partovi Nia

Proceedings of the 11th International Conference on Pattern Recognition Applications and Methods, 2022

2021

S³: Sign-Sparse-Shift Reparametrization for Effective Training of Low-bit Shift Networks.

Xinlin Li, Bang Liu, Yaoliang Yu, Wulong Liu, Chunjing Xu, Vahid Partovi Nia

CoRR, 2021

S$^3$: Sign-Sparse-Shift Reparametrization for Effective Training of Low-bit Shift Networks.

Xinlin Li, Bang Liu, Yaoliang Yu, Wulong Liu, Chunjing Xu, Vahid Partovi Nia

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Tensor train decompositions on recurrent networks.

Alejandro Murua, Ramchalam Ramakrishnan, Xinlin Li, Rui Heng Yang, Vahid Partovi Nia

CoRR, 2020

Clustering Causal Additive Noise Models.

Vahid Partovi Nia, Xinlin Li, Masoud Asgharian, Shoubo Hu, Zhitang Chen, Yanhui Geng

CoRR, 2020

Importance of Data Loading Pipeline in Training Deep Neural Networks.

Mahdi Zolnouri, Xinlin Li, Vahid Partovi Nia

CoRR, 2020

2019

Random Bias Initialization Improving Binary Neural Network Training.

Xinlin Li, Vahid Partovi Nia

CoRR, 2019