2.7k citations · 4.6k across the 53 of their papers we have counts for
55 papers
Bayesian Federated Learning: A Survey
Longbing Cao, Hui Chen, Xuhui Fan +3
Federated learning (FL) demonstrates its advantages in integrating distributed infrastructure, communication, computing and learning in a privacy-preserving manner. However, the ro…
ClinicLens: Visual Analytics for Exploring and Optimizing the Testing Capacity of Clinics given Uncertainty
Yu Dong, Jie Liang, Longbing Cao +1
Clinic testing plays a critical role in containing infectious diseases such as COVID-19. However, one of the key research questions in fighting such pandemics is how to optimize te…
eVAE: Evolutionary Variational Autoencoder
Zhangkai Wu, Longbing Cao, Lei Qi
The surrogate loss of variational autoencoders (VAEs) poses various challenges to their training, inducing the imbalance between task fitting and representation inference. To avert…
Tri-Attention: Explicit Context-Aware Attention Mechanism for Natural Language Processing
Rui Yu, Yifeng Li, Wenpeng Lu +1
In natural language processing (NLP), the context of a word or sentence plays an essential role. Contextual information such as the semantic representation of a passage or historic…
Supervised Deep Hashing for High-dimensional and Heterogeneous Case-based Reasoning
Qi Zhang, Liang Hu, Chongyang Shi +2
Case-based Reasoning (CBR) on high-dimensional and heterogeneous data is a trending yet challenging and computationally expensive task in the real world. A promising approach is to…
Dual Representation Learning for Out-of-Distribution Detection
Zhilin Zhao, Longbing Cao
To classify in-distribution samples, deep neural networks explore strongly label-related information and discard weakly label-related information according to the information bottl…