no code implementations • 20 Feb 2024 • Xiaoxuan Wang, Rolf Stadler
We study automated intrusion detection in an IT infrastructure, specifically the problem of identifying the start of an attack, the type of attack, and the sequence of actions an attacker takes, based on continuous measurements from the infrastructure.
no code implementations • 18 Oct 2023 • Jatin Chauhan, Xiaoxuan Wang, Wei Wang
We present one of the preliminary NLP works under the challenging setup of Learning from Label Proportions (LLP), where the data is provided in an aggregate form called bags and only the proportion of samples in each class as the ground truth.
1 code implementation • 20 Jul 2023 • Xiaoxuan Wang, Ziniu Hu, Pan Lu, Yanqiao Zhu, Jieyu Zhang, Satyen Subramaniam, Arjun R. Loomba, Shichang Zhang, Yizhou Sun, Wei Wang
Most of the existing Large Language Model (LLM) benchmarks on scientific problem reasoning focus on problems grounded in high-school subjects and are confined to elementary algebraic operations.
no code implementations • 24 May 2023 • Mingyu Derek Ma, Xiaoxuan Wang, Po-Nien Kung, P. Jeffrey Brantingham, Nanyun Peng, Wei Wang
Information extraction tasks such as event extraction require an in-depth understanding of the output structure and sub-task dependencies.
no code implementations • 15 Dec 2021 • Xiaoxuan Wang, Rolf Stadler
We present an online algorithm called Online Stable Feature Set Algorithm (OSFS), which selects a small feature set from a large number of available data sources after receiving a small number of measurements.
no code implementations • 28 Oct 2020 • Xiaoxuan Wang, Forough Shahab Samani, Rolf Stadler
Data-driven functions for operation and management often require measurements collected through monitoring for model training and prediction.
no code implementations • WS 2017 • James Thorne, Mingjie Chen, Giorgos Myrianthous, Jiashu Pu, Xiaoxuan Wang, Andreas Vlachos
Fake news has become a hotly debated topic in journalism.