Fangshuo Liao

According to our database, Fangshuo Liao authored at least 6 papers between 2022 and 2023.

Collaborative distances:

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

2023

On the Error-Propagation of Inexact Deflation for Principal Component Analysis.

Fangshuo Liao, Junhyung Lyle Kim, Cruz Barnum, Anastasios Kyrillidis

CoRR, 2023

Accelerated Convergence of Nesterov's Momentum for Deep Neural Networks under Partial Strong Convexity.

Fangshuo Liao, Anastasios Kyrillidis

CoRR, 2023

Scissorhands: Exploiting the Persistence of Importance Hypothesis for LLM KV Cache Compression at Test Time.

Zichang Liu, Aditya Desai, Fangshuo Liao, Weitao Wang, Victor Xie, Zhaozhuo Xu, Anastasios Kyrillidis, Anshumali Shrivastava

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

Strong Lottery Ticket Hypothesis with ε-perturbation.

Zheyang Xiong, Fangshuo Liao, Anastasios Kyrillidis

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

LOFT: Finding Lottery Tickets through Filter-wise Training.

Qihan Wang, Chen Dun, Fangshuo Liao, Chris Jermaine, Anastasios Kyrillidis

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

On the Convergence of Shallow Neural Network Training with Randomly Masked Neurons.

Fangshuo Liao, Anastasios Kyrillidis

Trans. Mach. Learn. Res., 2022