3 papers
cs.IR2024
Towards Robust Cross-Domain Recommendation with Joint Identifiability of User Preference
Jing Du, Zesheng Ye, Bin Guo +5
Recent cross-domain recommendation (CDR) studies assume that disentangled domain-shared and domain-specific user representations can mitigate domain gaps and facilitate effective k…
cs.IR2024
Joint Identifiability of Cross-Domain Recommendation via Hierarchical Subspace Disentanglement
Jing Du, Zesheng Ye, Bin Guo +2
Cross-Domain Recommendation (CDR) seeks to enable effective knowledge transfer across domains. Existing works rely on either representation alignment or transformation bridges, but…
cs.DC2023
AdaEvo: Edge-Assisted Continuous and Timely DNN Model Evolution for Mobile Devices
Lehao Wang, Zhiwen Yu, Haoyi Yu +4
Mobile video applications today have attracted significant attention. Deep learning model (e.g. deep neural network, DNN) compression is widely used to enable on-device inference f…