Liao, Fangshuo

12 publications

NeurIPS 2025 Learning to Specialize: Joint Gating-Expert Training for Adaptive MoEs in Decentralized Settings Yehya Farhat, Hamza ElMokhtar Shili, Fangshuo Liao, Chen Dun, Mirian Del Carmen Hipolito Garcia, Guoqing Zheng, Ahmed Hassan Awadallah, Robert Sim, Dimitrios Dimitriadis, Anastasios Kyrillidis
CPAL 2025 Provable Model-Parallel Distributed Principal Component Analysis with Parallel Deflation Fangshuo Liao, Wenyi Su, Anastasios Kyrillidis
TMLR 2024 How Much Pre-Training Is Enough to Discover a Good Subnetwork? Cameron R. Wolfe, Fangshuo Liao, Qihan Wang, Junhyung Lyle Kim, Anastasios Kyrillidis
ICML 2024 On the Error-Propagation of Inexact Hotelling’s Deflation for Principal Component Analysis Fangshuo Liao, Junhyung Lyle Kim, Cruz Barnum, Anastasios Kyrillidis
ALT 2024 Provable Accelerated Convergence of Nesterov’s Momentum for Deep ReLU Neural Networks Fangshuo Liao, Anastasios Kyrillidis
AISTATS 2023 LOFT: Finding Lottery Tickets Through Filter-Wise Training Qihan Wang, Chen Dun, Fangshuo Liao, Chris Jermaine, Anastasios Kyrillidis
NeurIPS 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
AISTATS 2023 Strong Lottery Ticket Hypothesis with $\varepsilon$–perturbation Zheyang Xiong, Fangshuo Liao, Anastasios Kyrillidis
NeurIPSW 2022 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
NeurIPSW 2022 LOFT: Finding Lottery Tickets Through Filter-Wise Training Qihan Wang, Chen Dun, Fangshuo Liao, Chris Jermaine, Anastasios Kyrillidis
TMLR 2022 On the Convergence of Shallow Neural Network Training with Randomly Masked Neurons Fangshuo Liao, Anastasios Kyrillidis
NeurIPSW 2022 Strong Lottery Ticket Hypothesis with $\epsilon$–perturbation Fangshuo Liao, Zheyang Xiong, Anastasios Kyrillidis