no code implementations • 28 Jul 2024 • Yushun Dong, Binchi Zhang, Zhenyu Lei, Na Zou, Jundong Li
Specifically, we first instantiate four types of unlearning requests on graphs, and then we propose an approximation approach to flexibly handle these unlearning requests over diverse GNNs.
no code implementations • 16 Jul 2024 • Yushun Dong, Song Wang, Zhenyu Lei, Zaiyi Zheng, Jing Ma, Chen Chen, Jundong Li
Fairness-aware graph learning has gained increasing attention in recent years.
1 code implementation • IEEE Transactions on Neural Networks and Learning Systems 2024 • Zhiming Zhang, Zhenyu Lei, Mengchu Zhou, Hideyuki Hasegawa, Shangce Gao
The complex-valued network operations proposed in this study improve the beamforming accuracy of complex-valued ultrasound signals over traditional real-valued methods.
1 code implementation • IEEE/CAA Journal of Automatica Sinica 2024 • Zhiming Zhang, Zhenyu Lei, Masaaki Omura, Hideyuki Hasegawa, Shangce Gao
DVT is a groundbreaking Biomimetic Vision Transformer that combines dendritic learning and Vision Transformer architecture, showcasing superior image recognition performance through biologically inspired structures.
1 code implementation • 30 Jun 2023 • Zijian Cai, Zhaoxuan Tan, Zhenyu Lei, Zifeng Zhu, Hongrui Wang, Qinghua Zheng, Minnan Luo
For datasets without graph structure, we simply replace the GNN with an MLP, which has also shown strong performance.
1 code implementation • IEEE/ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS 2023 • Zhiming Zhang, Shangce Gao, Zhenyu Lei, Runqun Xiong, Jiujun Cheng
One of the efficient tools to describe this information is protein energy functions.
1 code implementation • 8 Oct 2022 • Shangbin Feng, Zhaoxuan Tan, Wenqian Zhang, Zhenyu Lei, Yulia Tsvetkov
With the advent of pretrained language models (LMs), increasing research efforts have been focusing on infusing commonsense and domain-specific knowledge to prepare LMs for downstream tasks.
1 code implementation • 17 Aug 2022 • Zhenyu Lei, Herun Wan, Wenqian Zhang, Shangbin Feng, Zilong Chen, Jundong Li, Qinghua Zheng, Minnan Luo
In addition, given the stealing behavior of novel Twitter bots, BIC proposes to model semantic consistency in tweets based on attention weights while using it to augment the decision process.
1 code implementation • 9 Jun 2022 • Shangbin Feng, Zhaoxuan Tan, Herun Wan, Ningnan Wang, Zilong Chen, Binchi Zhang, Qinghua Zheng, Wenqian Zhang, Zhenyu Lei, Shujie Yang, Xinshun Feng, Qingyue Zhang, Hongrui Wang, YuHan Liu, Yuyang Bai, Heng Wang, Zijian Cai, Yanbo Wang, Lijing Zheng, Zihan Ma, Jundong Li, Minnan Luo
Twitter bot detection has become an increasingly important task to combat misinformation, facilitate social media moderation, and preserve the integrity of the online discourse.
1 code implementation • NAACL 2022 • Wenqian Zhang, Shangbin Feng, Zilong Chen, Zhenyu Lei, Jundong Li, Minnan Luo
Previous approaches generally focus on leveraging textual content to identify stances, while they fail to reason with background knowledge or leverage the rich semantic and syntactic textual labels in news articles.
no code implementations • 27 Jan 2021 • Zhenyu Lei, Yejing Xie, Suiyi Ling, Andreas Pastor, Junle Wang, Patrick Le Callet
Our inclination is to seek and learn the correlations between different aesthetic relevant dimensions to further boost the generalization performance in predicting all the aesthetic dimensions.