17 citations · 19 across the 4 of their papers we have counts for
5 papers
InitGen: Candidate Generation for Interaction Initiation in Intelligent Assistants
Ruize Shi, Jinhua Chen, Hong Huang +5
Interaction initiation refers to presenting multiple candidate queries when a user opens an intelligent assistant before expressing any intent for the current session. In productio…
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…
Learning Personalized Prompts for Healthcare Guidance
Ruize Shi, Hong Huang, Wei Zhou +3
The rapid development of large language models (LLMs) has transformed many industries, including healthcare. In practice, hospitals and patients increasingly seek LLM-based systems…
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…