no code implementations • ICML 2020 • Shuang Li, Lu Wang, Ruizhi Zhang, xiaofu Chang, Xuqin Liu, Yao Xie, Yuan Qi, Le Song
We propose a modeling framework for event data, which excels in small data regime with the ability to incorporate domain knowledge.
no code implementations • 20 Jun 2022 • Ruizhi Zhang, Qiaozi Wang, Qiming Yang, Wei Wei
Temporal network link prediction is an important task in the field of network science, and has a wide range of applications in practical scenarios.
1 code implementation • 28 Apr 2022 • Qiming Yang, Wei Wei, Ruizhi Zhang, Bowen Pang, Xiangnan Feng
To address this issue, in this paper, we design a new community attribute based link prediction strategy HAP and propose a two-step community enhancement algorithm with automatic evolution process based on HAP.
no code implementations • 26 Feb 2022 • Zhongchang Sun, Shaofeng Zou, Ruizhi Zhang, Qunwei Li
The problem of quickest change detection (QCD) in anonymous heterogeneous sensor networks is studied.
no code implementations • 18 Dec 2020 • Yue Xing, Ruizhi Zhang, Guang Cheng
Further, we reveal an explicit connection of adversarial and standard estimates, and propose a straightforward two-stage adversarial learning framework, which facilitates to utilize model structure information to improve adversarial robustness.