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05/23/2023
Pre-training Multi-task Contrastive Learning Models for Scientific Literature Understanding
Scientific literature understanding tasks have gained significant attent...
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04/02/2023
S2CTrans: Building a bridge from SPARQL to Cypher
In graph data applications, data is primarily maintained using two model...
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02/11/2022
Metadata-Induced Contrastive Learning for Zero-Shot Multi-Label Text Classification
Large-scale multi-label text classification (LMTC) aims to associate a d...
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07/05/2021
PandaDB: Understanding Unstructured Data in Graph Database
At present, graph model is widely used in many applications, such as kno...
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06/25/2021
Domain-Specific Pretraining for Vertical Search: Case Study on Biomedical Literature
Information overload is a prevalent challenge in many high-value domains...
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02/17/2021
Is preprint the future of science? A thirty year journey of online preprint services
Preprint is a version of a scientific paper that is publicly distributed...
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02/15/2021
MATCH: Metadata-Aware Text Classification in A Large Hierarchy
Multi-label text classification refers to the problem of assigning each ...
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04/22/2020
CORD-19: The COVID-19 Open Research Dataset
The COVID-19 Open Research Dataset (CORD-19) is a growing resource of sc...
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05/21/2019
A Scalable Hybrid Research Paper Recommender System for Microsoft Academic
We present the design and methodology for the large scale hybrid paper r...
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05/30/2018
A Web-scale system for scientific knowledge exploration
To enable efficient exploration of Web-scale scientific knowledge, it is...
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07/27/2017
Approximations and Bounds for (n, k) Fork-Join Queues: A Linear Transformation Approach
Compared to basic fork-join queues, a job in (n, k) fork-join queues onl...
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04/17/2017