6 citations · 17 across the 6 of their papers we have counts for
6 papers
Process Knowledge-infused Learning for Suicidality Assessment on Social Media
Kaushik Roy, Manas Gaur, Qi Zhang +1
Improving the performance and natural language explanations of deep learning algorithms is a priority for adoption by humans in the real world. In several domains, such as healthca…
A Multi-agent Reinforcement Learning Approach for Efficient Client Selection in Federated Learning
Sai Qian Zhang, Jieyu Lin, Qi Zhang
Federated learning (FL) is a training technique that enables client devices to jointly learn a shared model by aggregating locally-computed models without exposing their raw data.…
MeDiaQA: A Question Answering Dataset on Medical Dialogues
Huqun Suri, Qi Zhang, Wenhua Huo +2
In this paper, we introduce MeDiaQA, a novel question answering(QA) dataset, which constructed on real online Medical Dialogues. It contains 22k multiple-choice questions annotated…
Knowledge Infused Policy Gradients with Upper Confidence Bound for Relational Bandits
Kaushik Roy, Qi Zhang, Manas Gaur +1
Contextual Bandits find important use cases in various real-life scenarios such as online advertising, recommendation systems, healthcare, etc. However, most of the algorithms use…
Knowledge Infused Policy Gradients for Adaptive Pandemic Control
Kaushik Roy, Qi Zhang, Manas Gaur +1
COVID-19 has impacted nations differently based on their policy implementations. The effective policy requires taking into account public information and adaptability to new knowle…
Two Step Joint Model for Drug Drug Interaction Extraction
Siliang Tang, Qi Zhang, Tianpeng Zheng +7
When patients need to take medicine, particularly taking more than one kind of drug simultaneously, they should be alarmed that there possibly exists drug-drug interaction. Interac…