no code implementations • 1 Aug 2023 • Cheng Wu, Chaokun Wang, Jingcao Xu, Ziyang Liu, Kai Zheng, Xiaowei Wang, Yang song, Kun Gai
Specifically, we present GACN, a novel Generative Adversarial Contrastive learning Network for graph representation learning.
1 code implementation • 22 May 2023 • Cheng Wu, Chaokun Wang, Jingcao Xu, Ziwei Fang, Tiankai Gu, Changping Wang, Yang song, Kai Zheng, Xiaowei Wang, Guorui Zhou
Furthermore, the Neighborhood Disturbance existing in dynamic graphs deteriorates the performance of neighbor-aggregation based graph models.
1 code implementation • 22 May 2023 • Jingcao Xu, Chaokun Wang, Cheng Wu, Yang song, Kai Zheng, Xiaowei Wang, Changping Wang, Guorui Zhou, Kun Gai
Secondly, existing methods utilizing self-supervised learning (SSL) to tackle the data sparsity neglect the serious optimization imbalance between the SSL task and the target task.
no code implementations • 23 Jun 2022 • Zong Fan, Xiaohui Zhang, Jacob A. Gasienica, Jennifer Potts, Su Ruan, Wade Thorstad, Hiram Gay, Pengfei Song, Xiaowei Wang, Hua Li
Deep learning (DL) techniques have been extensively utilized for medical image classification.
no code implementations • 13 Apr 2022 • Xinyi Yu, Xiaowei Wang, Jintao Rong, Mingyang Zhang, Linlin Ou
However, the performance of architecture is limited by the type of operations and prior knowledge.
no code implementations • 21 Feb 2021 • Yixuan Liu, Hu Wang, Xiaowei Wang, Xiaoyue Sun, Liuyue Jiang, Minhui Xue
Therefore, a purify-trained classifier is designed to obtain the distribution and generate the calibrated rewards.
no code implementations • 10 Feb 2021 • Yunfei Chu, Xiaowei Wang, Jianxin Ma, Kunyang Jia, Jingren Zhou, Hongxia Yang
To bridge this gap, we propose an Inductive GRanger cAusal modeling (InGRA) framework for inductive Granger causality learning and common causal structure detection on multivariate time series, which exploits the shared commonalities underlying the different individuals.
no code implementations • 27 Jan 2021 • Xiaowei Wang
In the second section of this paper, we provide some estimates of the upper and lower bound of the value $J_{3}$, which involves the generalized Beukers integral and is related to $\zeta(5)$.
Number Theory 11J72, 11J82, 11M06
no code implementations • ICLR 2020 • Baichuan Yuan, Xiaowei Wang, Jianxin Ma, Chang Zhou, Andrea L. Bertozzi, Hongxia Yang
To bridge this gap, we introduce a declustering based hidden variable model that leads to an efficient inference procedure via a variational autoencoder (VAE).
no code implementations • 22 Feb 2020 • Qian Zhang, Wei Feng, Liang Wan, Fei-Peng Tian, Xiaowei Wang, Ping Tan
Besides, we also theoretically prove the invariance of our ALR approach to the ambiguity of normal and lighting decomposition.
no code implementations • 25 Sep 2019 • Yunfei Chu, Xiaowei Wang, Chunyan Feng, Jianxin Ma, Jingren Zhou, Hongxia Yang
Granger causal structure reconstruction is an emerging topic that can uncover causal relationship behind multivariate time series data.
1 code implementation • 2 Jun 2019 • Zhengxiao Du, Xiaowei Wang, Hongxia Yang, Jingren Zhou, Jie Tang
Our approach is based on the insight that having a good generalization from a few examples relies on both a generic model initialization and an effective strategy for adapting this model to newly arising tasks.
no code implementations • 9 May 2018 • Charles Eckert, Xiaowei Wang, Jingcheng Wang, Arun Subramaniyan, Ravi Iyer, Dennis Sylvester, David Blaauw, Reetuparna Das
This paper presents the Neural Cache architecture, which re-purposes cache structures to transform them into massively parallel compute units capable of running inferences for Deep Neural Networks.