13 citations · 22 across the 4 of their papers we have counts for
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cs.LG2022★ 13 cited
Dynamic Sparse Network for Time Series Classification: Learning What to "see''
Qiao Xiao, Boqian Wu, Yu Zhang +4
The receptive field (RF), which determines the region of time series to be ``seen'' and used, is critical to improve the performance for time series classification (TSC). However,…
cs.LG2021★ 8 cited
Multi-Objective Meta Learning
Feiyang Ye, Baijiong Lin, Zhixiong Yue +3
Meta learning with multiple objectives can be formulated as a Multi-Objective Bi-Level optimization Problem (MOBLP) where the upper-level subproblem is to solve several possible co…
cs.LG2020
Distant Transfer Learning via Deep Random Walk
Qiao Xiao, Yu Zhang
Transfer learning, which is to improve the learning performance in the target domain by leveraging useful knowledge from the source domain, often requires that those two domains ar…