943 citations · 1.4k across the 31 of their papers we have counts for
31 papers
Responsible AI: Portraits with Intelligent Bibliometrics
Yi Zhang, Mengjia Wu, Guangquan Zhang +1
Shifting the focus from principles to practical implementation, responsible artificial intelligence (AI) has garnered considerable attention across academia, industry, and society…
Online Boosting Adaptive Learning under Concept Drift for Multistream Classification
En Yu, Jie Lu, Bin Zhang +1
Multistream classification poses significant challenges due to the necessity for rapid adaptation in dynamic streaming processes with concept drift. Despite the growing research ou…
Meta OOD Learning for Continuously Adaptive OOD Detection
Xinheng Wu, Jie Lu, Zhen Fang +1
Out-of-distribution (OOD) detection is crucial to modern deep learning applications by identifying and alerting about the OOD samples that should not be tested or used for making p…
Streaming PAC-Bayes Gaussian process regression with a performance guarantee for online decision making
Tianyu Liu, Jie Lu, Zheng Yan +1
As a powerful Bayesian non-parameterized algorithm, the Gaussian process (GP) has performed a significant role in Bayesian optimization and signal processing. GPs have also advance…
Bayesian Transfer Learning: An Overview of Probabilistic Graphical Models for Transfer Learning
Junyu Xuan, Jie Lu, Guangquan Zhang
Transfer learning where the behavior of extracting transferable knowledge from the source domain(s) and reusing this knowledge to target domain has become a research area of great…
Deep Bayesian Estimation for Dynamic Treatment Regimes with a Long Follow-up Time
Adi Lin, Jie Lu, Junyu Xuan +2
Causal effect estimation for dynamic treatment regimes (DTRs) contributes to sequential decision making. However, censoring and time-dependent confounding under DTRs are challengin…