On the Convergence of Shallow Neural Network Training with Randomly Masked Neurons. - Fangshuo Liao; Anastasios Kyrillidis (Trans. Mach. Learn. Res., 2022)

LOFT: Finding Lottery Tickets through Filter-wise Training. - Qihan Wang; Chen Dun; Fangshuo Liao; Chris Jermaine; Anastasios Kyrillidis (AISTATS, 2023)

Strong Lottery Ticket Hypothesis with ε-perturbation. - Zheyang Xiong; Fangshuo Liao; Anastasios Kyrillidis (AISTATS, 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 (NeurIPS, 2023)

Accelerated Convergence of Nesterov's Momentum for Deep Neural Networks under Partial Strong Convexity. - Fangshuo Liao; Anastasios Kyrillidis (CoRR, 2023)

On the Error-Propagation of Inexact Deflation for Principal Component Analysis. - Fangshuo Liao; Junhyung Lyle Kim; Cruz Barnum; Anastasios Kyrillidis (CoRR, 2023)

Provable Accelerated Convergence of Nesterov's Momentum for Deep ReLU Neural Networks. - Fangshuo Liao; Anastasios Kyrillidis (ALT, 2024)

On the Error-Propagation of Inexact Hotelling's Deflation for Principal Component Analysis. - Fangshuo Liao; Junhyung Lyle Kim; Cruz Barnum; Anastasios Kyrillidis (ICML, 2024)

How Much Pre-training Is Enough to Discover a Good Subnetwork? - Cameron R. Wolfe; Fangshuo Liao; Qihan Wang; Junhyung Lyle Kim; Anastasios Kyrillidis (Trans. Mach. Learn. Res., 2024)

GIST: distributed training for large-scale graph convolutional networks. - Cameron R. Wolfe; Jingkang Yang; Fangshuo Liao; Arindam Chowdhury; Chen Dun; Artun Bayer; Santiago Segarra; Anastasios Kyrillidis (J. Appl. Comput. Topol., 2024)

Provable Model-Parallel Distributed Principal Component Analysis with Parallel Deflation. - Fangshuo Liao; Wenyi Su; Anastasios Kyrillidis (CPAL, 2025)

One Rank at a Time: Cascading Error Dynamics in Sequential Learning. - Mahtab Alizadeh Vandchali; Fangshuo Liao; Anastasios Kyrillidis (CoRR, 2025)