Fangshuo Liao

According to our database1, Fangshuo Liao authored at least 10 papers between 2022 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
GIST: distributed training for large-scale graph convolutional networks.
J. Appl. Comput. Topol., October, 2024

How Much Pre-training Is Enough to Discover a Good Subnetwork?
Trans. Mach. Learn. Res., 2024

On the Error-Propagation of Inexact Hotelling's Deflation for Principal Component Analysis.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Provable Accelerated Convergence of Nesterov's Momentum for Deep ReLU Neural Networks.
Proceedings of the International Conference on Algorithmic Learning Theory, 2024

2023
On the Error-Propagation of Inexact Deflation for Principal Component Analysis.
CoRR, 2023

Accelerated Convergence of Nesterov's Momentum for Deep Neural Networks under Partial Strong Convexity.
CoRR, 2023

Scissorhands: Exploiting the Persistence of Importance Hypothesis for LLM KV Cache Compression at Test Time.
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.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

LOFT: Finding Lottery Tickets through Filter-wise Training.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022
On the Convergence of Shallow Neural Network Training with Randomly Masked Neurons.
Trans. Mach. Learn. Res., 2022


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