no code implementations • 28 Jul 2020 • Weikai Yang, Zhen Li, Mengchen Liu, Yafeng Lu, Kelei Cao, Ross Maciejewski, Shixia Liu
Concept drift is a phenomenon in which the distribution of a data stream changes over time in unforeseen ways, causing prediction models built on historical data to become inaccurate.
no code implementations • 26 Jan 2020 • Kelei Cao, Mengchen Liu, Hang Su, Jing Wu, Jun Zhu, Shixia Liu
The key is to compare and analyze the datapaths of both the adversarial and normal examples.
no code implementations • 9 Oct 2018 • Mengchen Liu, Shixia Liu, Hang Su, Kelei Cao, Jun Zhu
Deep neural networks (DNNs) are vulnerable to maliciously generated adversarial examples.
no code implementations • 18 Nov 2016 • Qiqi Xiao, Kelei Cao, Haonan Chen, Fangyue Peng, Chi Zhang
Building on the idea that identity classification, attribute recognition and re- identification share the same mid-level semantic representations, they can be trained sequentially by fine-tuning one based on another.
1 code implementation • 13 Dec 2015 • Shixia Liu, Jialun Yin, Xiting Wang, Weiwei Cui, Kelei Cao, Jian Pei
To this end, we learn a set of streaming tree cuts from topic trees based on user-selected focus nodes.