no code implementations • 20 Feb 2023 • Chunyu Pan, Zhao Su, Haoyu Zheng, Changsheng Zhang, Weixiong Zhang, Xizhe Zhang
However, the efficacy of the incumbent MDS may diminish as the network topologies evolve.
no code implementations • 31 Jan 2023 • Xinru Wei, Shuai Dong, Zhao Su, Lili Tang, Pengfei Zhao, Chunyu Pan, Fei Wang, Yanqing Tang, Weixiong Zhang, Xizhe Zhang
Subtyping neuropsychiatric disorders like schizophrenia is essential for improving the diagnosis and treatment of complex diseases.
no code implementations • 2 Oct 2022 • Zhuangzhuang Zhang, Weixiong Zhang
Moreover, we used Monte Carlo dropout in the stabilizer to measure uncertainty and adaptively balance the discrepancy between the representations of the same pixels in different views.
no code implementations • 28 Jun 2022 • Di Jin, Rui Wang, Meng Ge, Dongxiao He, Xiang Li, Wei Lin, Weixiong Zhang
Due to the homophily assumption of Graph Convolutional Networks (GCNs) that these methods use, they are not suitable for heterophily graphs where nodes with different labels or dissimilar attributes tend to be adjacent.
no code implementations • 13 Jun 2022 • Xizhe Zhang, Chunyu Pan, Xinru Wei, Meng Yu, Shuangjie Liu, Jun An, Jieping Yang, Baojun Wei, Wenjun Hao, Yang Yao, Yuyan Zhu, Weixiong Zhang
One of the recent approaches is based on network structural controllability that focuses on finding a control scheme and driver genes that can steer the cell from an arbitrary state to a designated state.
no code implementations • 10 Jun 2022 • Xizhe Zhang, Fei Wang, Weixiong Zhang
They questioned the generalizability of our methods and the statistical significance, stability, and overfitting of the results, and proposed a pipeline for disease subtyping.
no code implementations • 7 Jun 2022 • Xinru Wei, Chunyu Pan, Xizhe Zhang, Weixiong Zhang
One such approach adopts structural controllability, a theory for controlling a network (the cell).
no code implementations • 30 Apr 2022 • Cuiying Huo, Dongxiao He, Yawen Li, Di Jin, Jianwu Dang, Weixiong Zhang, Witold Pedrycz, Lingfei Wu
However, the existing contrastive learning methods are inadequate for heterogeneous graphs because they construct contrastive views only based on data perturbation or pre-defined structural properties (e. g., meta-path) in graph data while ignore the noises that may exist in both node attributes and graph topologies.
no code implementations • 10 Jul 2021 • Zhuangzhuang Zhang, Tianyu Zhao, Hiram Gay, Weixiong Zhang, Baozhou Sun
Our results of the new Weaving Attention U-net demonstrate superior or similar performance on the segmentation of head and neck CT images.
no code implementations • 29 Apr 2021 • Zhuangzhuang Zhang, Weixiong Zhang
Deep neural networks have been a prevailing technique in the field of medical image processing.
no code implementations • 3 Jan 2021 • Di Jin, Zhizhi Yu, Pengfei Jiao, Shirui Pan, Dongxiao He, Jia Wu, Philip S. Yu, Weixiong Zhang
We conclude with discussions of the challenges of the field and suggestions of possible directions for future research.
no code implementations • 21 Sep 2020 • Zhuangzhuang Zhang, Tianyu Zhao, Hiram Gay, Baozhou Sun, Weixiong Zhang
We developed a novel semi-supervised adversarial deep learning approach for 3D pelvic CT image semantic segmentation.
no code implementations • 11 Aug 2020 • Zhuangzhuang Zhang, Tianyu Zhao, Hiram Gay, Weixiong Zhang, Baozhou Sun
A segmentation network and a discriminator network were trained jointly, and only the segmentation network was used for prediction.
1 code implementation • 2 Mar 2017 • Xizhe Zhang, Jianfei Han, Weixiong Zhang
The main idea is to modify a maximum matching algorithm to make it efficient for finding all possible input nodes by computing only one MIS.
Discrete Mathematics Social and Information Networks Physics and Society
no code implementations • 18 Jan 2014 • Ruoyun Huang, Yixin Chen, Weixiong Zhang
We prove the correctness of the new encoding by establishing an isomorphism between the solution plans of SASE and that of STRIPS based encodings.
no code implementations • 16 Jan 2014 • Gerold Jäger, Weixiong Zhang
By combining effective algorithms for the AP and SAT, our algorithm significantly outperforms previous exact DHCP algorithms, including an algorithm based on the award-winning Concorde TSP algorithm.