• Publications
  • Influence
Diagnostic accuracy of salivary gland ultrasonography with different scoring systems in Sjögren’s syndrome: a systematic review and meta-analysis
Noninvasive objective salivary gland ultrasonography (SGU) had been widely used to evaluate major salivary gland involvement in primary Sjögren’s syndrome (pSS) and treatment responses. However, theExpand
  • 11
  • 1
The new use of an ancient remedy: a double-blinded randomized study on the treatment of rheumatoid arthritis.
Rheumatoid arthritis (RA) is the most common chronic inflammatory disease with unknown causes and unknown cures in Western medicine. This double-blinded study aimed to investigate the efficacy andExpand
  • 14
  • 1
An asymmetric allelic interaction drives allele transmission bias in interspecific rice hybrids
Hybrid sterility (HS) between Oryza sativa (Asian rice) and O. glaberrima (African rice) is mainly controlled by the S1 locus. However, our limited understanding of the HS mechanism hampersExpand
  • 20
  • 1
  • PDF
Serum-soluble TRAIL: a potential biomarker for disease activity in myositis patients
ObjectivesTumor necrosis factor–related apoptosis-inducing ligand (TRAIL) is a member of the TNF super-family, which is involved in the regulation of immune response and pathogenesis of autoimmuneExpand
  • 3
  • PDF
Optimal patient assignment for W queueing network in a diagnostic facility setting
TLDR
This paper proposes an average-cost Markov Decision Process (MDP) model to assign the patients to the appropriate queue with the objective of minimising the weighted waiting cost and referral penalty. Expand
  • 3
Joint Goal and Strategy Inference across Heterogeneous Demonstrators via Reward Network Distillation
TLDR
Reinforcement learning (RL) has achieved tremendous success as a general framework for learning how to make decisions. Expand
  • 3
  • PDF
Study on the value of salivary gland ultrasonography in Sjögren's syndrome
Objective To clarify the diagnostic value of salivary gland ultrasonography in Sjogren's syndrome(SS), and its correlation with the disease activity index and important organs involvement wereExpand
  • 2
Efficient Model-Free Reinforcement Learning Using Gaussian Process
TLDR
We propose Gaussian Process Posterior Sampling Reinforcement Learning(GPPSTD) algorithm in continuous state space, giving theoretical justifications and empirical results. Expand
  • 2
  • PDF
Interpretable and Personalized Apprenticeship Scheduling: Learning Interpretable Scheduling Policies from Heterogeneous User Demonstrations
TLDR
We propose a personalized and interpretable apprenticeship scheduling algorithm that infers an interpretable representation of all human task demonstrators by extracting decision-making criteria via an inferred, personalized embedding non-parametric in the number of demonstrator types. Expand
  • 1
  • PDF
Learning from Suboptimal Demonstration via Self-Supervised Reward Regression
TLDR
Learning from Demonstration (LfD) seeks to democratize robotics by enabling non-roboticist end-users to teach robots to perform a task by providing a human demonstration. Expand
  • 1
  • PDF