2 citations · 5 across the 4 of their papers we have counts for
4 papers
Contrastive Knowledge Amalgamation for Unsupervised Image Classification
Shangde Gao, Yichao Fu, Ke Liu +1
Knowledge amalgamation (KA) aims to learn a compact student model to handle the joint objective from multiple teacher models that are are specialized for their own tasks respective…
Deep Reinforcement Learning for Entity Alignment
Lingbing Guo, Yuqiang Han, Qiang Zhang +1
Embedding-based methods have attracted increasing attention in recent entity alignment (EA) studies. Although great promise they can offer, there are still several limitations. The…
DialMed: A Dataset for Dialogue-based Medication Recommendation
Zhenfeng He, Yuqiang Han, Zhenqiu Ouyang +4
Medication recommendation is a crucial task for intelligent healthcare systems. Previous studies mainly recommend medications with electronic health records (EHRs). However, some d…
Prompt-Guided Injection of Conformation to Pre-trained Protein Model
Qiang Zhang, Zeyuan Wang, Yuqiang Han +3
Pre-trained protein models (PTPMs) represent a protein with one fixed embedding and thus are not capable for diverse tasks. For example, protein structures can shift, namely protei…