11 citations · 31 across the 7 of their papers we have counts for
7 papers
Split Federated Learning: Speed up Model Training in Resource-Limited Wireless Networks
Songge Zhang, Wen Wu, Penghui Hu +2
In this paper, we propose a novel distributed learning scheme, named group-based split federated learning (GSFL), to speed up artificial intelligence (AI) model training. Specifica…
Tell Model Where to Attend: Improving Interpretability of Aspect-Based Sentiment Classification via Small Explanation Annotations
Zhenxiao Cheng, Jie Zhou, Wen Wu +2
Gradient-based explanation methods play an important role in the field of interpreting complex deep neural networks for NLP models. However, the existing work has shown that the gr…
On the 2-binomial complexity of the generalized Thue-Morse words
Xiao-Tao Lü, Jin Chen, Zhi-Xiong Wen +1
In this paper, we study the -binomial complexity of the generalized Thue-Morse words for every integer . We obtain the exact…
On the abelian complexity of the Rudin-Shapiro sequence
Xiaotao Lü, Jin Chen, Zhixiong Wen +1
In this paper, we study the abelian complexity of the Rudin-Shapiro sequence and a related sequence. We show that these two sequences share the same complexity function whic…
Hankel determinants of the Cantor sequence
Zhi-xiong Wen, Wen Wu
In the paper, we give the recurrent equations of the Hankel determinants of the Cantor sequence, and show that the Hankel determinants as a double sequence is 3-automatic. With the…
Explicit evaluations of the Hankel determinants of a Thue--Morse-like sequence
Guo-Niu Han, Wen Wu
We obtain the explicit evaluations of the Hankel determinants of the formal power series where , and prove that the sequence of…