activity
20202026
most citedPretrained Transformers Improve Out-of-Distribution Robustness

27 citations · 77 across the 11 of their papers we have counts for

collaborators

11 papers

cs.AI2026

AgentBeats: Agentifying Agent Assessment for Openness, Standardization, and Reproducibility

Xiaoyuan Liu, Jianhong Tu, Yuqi Chen +26

Agent systems are advancing quickly across domains, but their evaluation remains fragmented. Most benchmarks rely on fixed, LLM-centric harnesses that require heavy integration, cr…

cs.LG2023★ 2 cited

Effective and Efficient Federated Tree Learning on Hybrid Data

Qinbin Li, Chulin Xie, Xiaojun Xu +5

Federated learning has emerged as a promising distributed learning paradigm that facilitates collaborative learning among multiple parties without transferring raw data. However, m…

cs.CR2022★ 9 cited

ThreatKG: An AI-Powered System for Automated Open-Source Cyber Threat Intelligence Gathering and Management

Peng Gao, Xiaoyuan Liu, Edward Choi +3

Open-source cyber threat intelligence (OSCTI) has become essential for keeping up with the rapidly changing threat landscape. However, current OSCTI gathering and management soluti…

cs.CR2022★ 4 cited

Lessons Learned: Surveying the Practicality of Differential Privacy in the Industry

Gonzalo Munilla Garrido, Xiaoyuan Liu, Florian Matthes +1

Since its introduction in 2006, differential privacy has emerged as a predominant statistical tool for quantifying data privacy in academic works. Yet despite the plethora of resea…

cs.LG2022★ 6 cited

UniFed: All-In-One Federated Learning Platform to Unify Open-Source Frameworks

Xiaoyuan Liu, Tianneng Shi, Chulin Xie +9

Federated Learning (FL) has become a practical and widely adopted distributed learning paradigm. However, the lack of a comprehensive and standardized solution covering diverse use…

cs.CR2021

A System for Automated Open-Source Threat Intelligence Gathering and Management

Peng Gao, Xiaoyuan Liu, Edward Choi +4

To remain aware of the fast-evolving cyber threat landscape, open-source Cyber Threat Intelligence (OSCTI) has received growing attention from the community. Commonly, knowledge ab…

cs.CR2021★ 1 cited

A System for Efficiently Hunting for Cyber Threats in Computer Systems Using Threat Intelligence

Peng Gao, Fei Shao, Xiaoyuan Liu +7

Log-based cyber threat hunting has emerged as an important solution to counter sophisticated cyber attacks. However, existing approaches require non-trivial efforts of manual query…

cs.CR2020★ 11 cited

Enabling Efficient Cyber Threat Hunting With Cyber Threat Intelligence

Peng Gao, Fei Shao, Xiaoyuan Liu +6

Log-based cyber threat hunting has emerged as an important solution to counter sophisticated attacks. However, existing approaches require non-trivial efforts of manual query const…

cs.CL2020★ 13 cited

Distributed Structured Actor-Critic Reinforcement Learning for Universal Dialogue Management

Zhi Chen, Lu Chen, Xiaoyuan Liu +1

The task-oriented spoken dialogue system (SDS) aims to assist a human user in accomplishing a specific task (e.g., hotel booking). The dialogue management is a core part of SDS. Th…

cs.CR2020★ 4 cited

BeeTrace: A Unified Platform for Secure Contact Tracing that Breaks Data Silos

Xiaoyuan Liu, Ni Trieu, Evgenios M. Kornaropoulos +1

Contact tracing is an important method to control the spread of an infectious disease such as COVID-19. However, existing contact tracing methods alone cannot provide sufficient co…

cs.CL2020★ 27 cited

Pretrained Transformers Improve Out-of-Distribution Robustness

Dan Hendrycks, Xiaoyuan Liu, Eric Wallace +3

Although pretrained Transformers such as BERT achieve high accuracy on in-distribution examples, do they generalize to new distributions? We systematically measure out-of-distribut…