activity
20162023
most citedDeepGauge: Multi-Granularity Testing Criteria for Deep Learning Systems

591 citations · 3.3k across the 128 of their papers we have counts for

collaborators

129 papers

cs.SE2023★ 3 cited

An Empirical Study of Malicious Code In PyPI Ecosystem

Wenbo Guo, Zhengzi Xu, Chengwei Liu +3

PyPI provides a convenient and accessible package management platform to developers, enabling them to quickly implement specific functions and improve work efficiency. However, the…

cs.LG2023★ 2 cited

GAME: Generalized deep learning model towards multimodal data integration for early screening of adolescent mental disorders

Zhicheng Du, Chenyao Jiang, Xi Yuan +10

The timely identification of mental disorders in adolescents is a global public health challenge.Single factor is difficult to detect the abnormality due to its complex and subtle…

cs.SE2023

Event-based Compositional Reasoning of Information-Flow Security for Concurrent Systems

Yongwang Zhao, David Sanan, Fuyuan Zhang +1

High assurance of information-flow security (IFS) for concurrent systems is challenging. A promising way for formal verification of concurrent systems is the rely-guarantee method.…

cs.LG2023

Distributionally Robust Post-hoc Classifiers under Prior Shifts

Jiaheng Wei, Harikrishna Narasimhan, Ehsan Amid +3

The generalization ability of machine learning models degrades significantly when the test distribution shifts away from the training distribution. We investigate the problem of tr…

cs.LG2023

Federated PAC-Bayesian Learning on Non-IID data

Zihao Zhao, Yang Liu, Wenbo Ding +1

Existing research has either adapted the Probably Approximately Correct (PAC) Bayesian framework for federated learning (FL) or used information-theoretic PAC-Bayesian bounds while…

cs.CV2023

Efficient Adaptive Human-Object Interaction Detection with Concept-guided Memory

Ting Lei, Fabian Caba, Qingchao Chen +3

Human Object Interaction (HOI) detection aims to localize and infer the relationships between a human and an object. Arguably, training supervised models for this task from scratch…