584 citations · 819 across the 13 of their papers we have counts for
13 papers
DACP: A Scientific Data Access and Collaboration Protocol
Zhihong Shen, Xiaojie Zhu, Zhenjing Cheng +3
Scientific computing is rapidly entering a data-intensive era. However, existing general-purpose network protocol stacks face limitations in eliminating data silos and improving da…
S2CTrans: Building a bridge from SPARQL to Cypher
Zihao Zhao, Xiaodong Ge, Zhihong Shen
In graph data applications, data is primarily maintained using two models: RDF (Resource Description Framework) and property graph. The property graph model is widely adopted by in…
Metadata-Induced Contrastive Learning for Zero-Shot Multi-Label Text Classification
Yu Zhang, Zhihong Shen, Chieh-Han Wu +5
Large-scale multi-label text classification (LMTC) aims to associate a document with its relevant labels from a large candidate set. Most existing LMTC approaches rely on massive h…
PandaDB: Understanding Unstructured Data in Graph Database
Zihao Zhao, Zhihong Shen, Mingjie Tang +3
Unstructured data(e.g., images, videos, PDF files, etc.) contain semantic information, for example, the facial feature of a person and the plate number of a vehicle. There could be…
Domain-Specific Pretraining for Vertical Search: Case Study on Biomedical Literature
Yu Wang, Jinchao Li, Tristan Naumann +12
Information overload is a prevalent challenge in many high-value domains. A prominent case in point is the explosion of the biomedical literature on COVID-19, which swelled to hund…
Is preprint the future of science? A thirty year journey of online preprint services
Boya Xie, Zhihong Shen, Kuansan Wang
Preprint is a version of a scientific paper that is publicly distributed preceding formal peer review. Since the launch of arXiv in 1991, preprints have been increasingly distribut…
MATCH: Metadata-Aware Text Classification in A Large Hierarchy
Yu Zhang, Zhihong Shen, Yuxiao Dong +2
Multi-label text classification refers to the problem of assigning each given document its most relevant labels from the label set. Commonly, the metadata of the given documents an…
CORD-19: The COVID-19 Open Research Dataset
Lucy Lu Wang, Kyle Lo, Yoganand Chandrasekhar +25
The COVID-19 Open Research Dataset (CORD-19) is a growing resource of scientific papers on COVID-19 and related historical coronavirus research. CORD-19 is designed to facilitate t…
TaxoExpan: Self-supervised Taxonomy Expansion with Position-Enhanced Graph Neural Network
Jiaming Shen, Zhihong Shen, Chenyan Xiong +3
Taxonomies consist of machine-interpretable semantics and provide valuable knowledge for many web applications. For example, online retailers (e.g., Amazon and eBay) use taxonomies…
A Scalable Hybrid Research Paper Recommender System for Microsoft Academic
Anshul Kanakia, Zhihong Shen, Darrin Eide +1
We present the design and methodology for the large scale hybrid paper recommender system used by Microsoft Academic. The system provides recommendations for approximately 160 mill…
A Web-scale system for scientific knowledge exploration
Zhihong Shen, Hao Ma, Kuansan Wang
To enable efficient exploration of Web-scale scientific knowledge, it is necessary to organize scientific publications into a hierarchical concept structure. In this work, we prese…
Approximations and Bounds for (n, k) Fork-Join Queues: A Linear Transformation Approach
Huajin Wang, Jianhui Li, Zhihong Shen +1
Compared to basic fork-join queues, a job in (n, k) fork-join queues only needs its k out of all n sub-tasks to be finished. Since (n, k) fork-join queues are prevalent in popular…
A Century of Science: Globalization of Scientific Collaborations, Citations, and Innovations
Yuxiao Dong, Hao Ma, Zhihong Shen +1
Progress in science has advanced the development of human society across history, with dramatic revolutions shaped by information theory, genetic cloning, and artificial intelligen…