Publications (4)
From General to Specific: Tailoring Large Language Models for Personalized Healthcare
Ruize Shi, Hong Huang, Wei Zhou +3
The rapid development of large language models (LLMs) has transformed many industries, including healthcare. However, previous medical LLMs have largely focused on leveraging gener…
Scalable Heterogeneous Graph Learning via Heterogeneous-aware Orthogonal Prototype Experts
Wei Zhou, Hong Huang, Ruize Shi +1
Heterogeneous Graph Neural Networks(HGNNs) have advanced mainly through better encoders, yet their decoding/projection stage still relies on a single shared linear head, assuming i…
OCDB: Revisiting Causal Discovery with a Comprehensive Benchmark and Evaluation Framework
Wei Zhou, Hong Huang, Guowen Zhang +4
Large language models (LLMs) have excelled in various natural language processing tasks, but challenges in interpretability and trustworthiness persist, limiting their use in high-…
Biomedical image analysis competitions: The state of current participation practice
Matthias Eisenmann, Annika Reinke, Vivienn Weru +352
The number of international benchmarking competitions is steadily increasing in various fields of machine learning (ML) research and practice. So far, however, little is known abou…