Sheng Zhang

Auto scaling virtual machines for web applications with queueing theory

2016

With the rapid development of cloud computing in recent years, more and more individuals and corporations use cloud computing platform to deploy their web applications, which can significantly minimize their deployment costs. However, it is …

REKnow: Enhanced Knowledge for Joint Entity and Relation Extraction

2022 · arXiv (Cornell University)

Relation extraction is an important but challenging task that aims to extract all hidden relational facts from the text. With the development of deep language models, relation extraction methods have achieved good performance on various …

Semi-Asynchronous Federated Edge Learning Mechanism via Over-the-air Computation

2023 · arXiv (Cornell University)

Over-the-air Computation (AirComp) has been demonstrated as an effective transmission scheme to boost the efficiency of federated edge learning (FEEL). However, existing FEEL systems with AirComp scheme often employ traditional synchronous aggregation mechanisms for local …

Dynamic Multimodal Information Bottleneck for Multimodality Classification

2024

Effectively leveraging multimodal data such as various images, laboratory tests and clinical information is becoming increasingly attractive in a variety of AI-based medical diagnosis and prognosis tasks. Most existing multi-modal techniques only focus on enhancing …

Chinese Medical Question Answer Matching Using End-to-End Character-Level Multi-Scale CNNs

2017 · Applied Sciences

This paper focuses mainly on the problem of Chinese medical question answer matching, which is arguably more challenging than open-domain question answer matching in English due to the combination of its domain-restricted nature and the …

ReCoRD: Bridging the Gap between Human and Machine Commonsense Reading Comprehension

2018 · arXiv (Cornell University)

We present a large-scale dataset, ReCoRD, for machine reading comprehension requiring commonsense reasoning. Experiments on this dataset demonstrate that the performance of state-of-the-art MRC systems fall far behind human performance. ReCoRD represents a challenge for …

BioGPT: generative pre-trained transformer for biomedical text generation and mining

2022 · Briefings in Bioinformatics

Pre-trained language models have attracted increasing attention in the biomedical domain, inspired by their great success in the general natural language domain. Among the two main branches of pre-trained language models in the general language …