Xiao Li

12 papers B 2Misc 2Journal 5Unranked 3
YearRankTypeTitle / Venue / Authors
2024 — conf
Investigating the Catastrophic Forgetting in Multimodal Large Language Model Fine-Tuning.
CPAL
Yuexiang Zhai, Shengbang Tong, Xiao Li, Mu Cai, Qing Qu, Yong Jae Lee, Yi Ma
2023 J jnl
Investigating the Catastrophic Forgetting in Multimodal Large Language Models.
CoRR
Yuexiang Zhai, Shengbang Tong, Xiao Li, Mu Cai, Qing Qu, Yong Jae Lee, Yi Ma
2023 J jnl
Minimum-Rate Spectrum-Blind Sampling Based on Sparse-Graph Codes.
IEEE Trans. Signal Process.
Orhan Öçal, Swanand Kadhe, Xiao Li, Kannan Ramchandran
2019 J jnl
Sub-Linear Time Support Recovery for Compressed Sensing Using Sparse-Graph Codes.
IEEE Trans. Inf. Theory
Xiao Li, Dong Yin, Sameer Pawar, Ramtin Pedarsani, Kannan Ramchandran
2016 Misc conf
A sparse-graph-coded filter bank approach to minimum-rate spectrum-blind sampling.
ICASSP
Orhan Ocal, Xiao Li, Kannan Ramchandran
2016 — conf
Compressed sensing using sparse-graph codes for the continuous-alphabet setting.
Allerton
Dong Yin, Ramtin Pedarsani, Xiao Li, Kannan Ramchandran
2016 Misc conf
Recovering K-sparse N-length vectors in O(K log N) time: Compressed sensing using sparse-graph codes.
ICASSP
Xiao Li, Kannan Ramchandran
2015 — conf
An Active Learning Framework using Sparse-Graph Codes for Sparse Polynomials and Graph Sketching.
NIPS
Xiao Li, Kannan Ramchandran
2015 J jnl
SPRIGHT: A Fast and Robust Framework for Sparse Walsh-Hadamard Transform.
CoRR
Xiao Li, Joseph K. Bradley, Sameer Pawar, Kannan Ramchandran
2015 B conf
Sub-linear time compressed sensing using sparse-graph codes.
ISIT
Xiao Li, Sameer Pawar, Kannan Ramchandran
2014 J jnl
Sub-linear Time Support Recovery for Compressed Sensing using Sparse-Graph Codes.
CoRR
Xiao Li, Sameer Pawar, Kannan Ramchandran
2014 B conf
The SPRIGHT algorithm for robust sparse Hadamard Transforms.
ISIT
Xiao Li, Joseph Kurata Bradley, Sameer Pawar, Kannan Ramchandran