Zifan Nan

College of Engineering

Works (3)

Updated: May 11th, 2023 05:00

2022 article

IDE Augmented with Human-Learning Inspired Natural Language Programming

2022 ACM/IEEE 44TH INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING: COMPANION PROCEEDINGS (ICSE-COMPANION 2022), pp. 110–114.

By: M. Young n, Z. Nan n & X. Shen n 

author keywords: Program synthesis; natural language programming; code editor
TL;DR: An NLU-driven approach that forgoes the need for large numbers of labeled training examples, inspired by how humans learn programming, and draws on a novel graph-based mapping algorithm is proposed. (via Semantic Scholar)
UN Sustainable Development Goal Categories
4. Quality Education (OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: September 19, 2022

2022 article

Interactive NLU-Powered Ontology-Based Workflow Synthesis for FAIR Support of HPC

2022 IEEE/ACM INTERNATIONAL WORKSHOP ON HPC USER SUPPORT TOOLS (HUST), pp. 29–40.

By: Z. Nan n, M. Dave n, X. Shen n , C. Liao *, T. Vanderbruggen *, P. Lin *, M. Emani *

author keywords: Ontology; Workflow; Synthesis; HPC; FAIR; NLP
TL;DR: INPOWS allows the use of Natural Language for queries, maximizes the robustness in handling concepts and language ambiguities through an interactive ontology-based design, and achieves superior extensibility by adopting a synthesis algorithm powered by Natural Language Understanding. (via Semantic Scholar)
UN Sustainable Development Goal Categories
4. Quality Education (Web of Science)
Sources: Web Of Science, NC State University Libraries
Added: May 9, 2023

2021 article

HPC Ontology: Towards a Unified Ontology for Managing Training Datasets and AI Models for High-Performance Computing

PROCEEDINGS OF THE WORKSHOP ON MACHINE LEARNING IN HIGH PERFORMANCE COMPUTING ENVIRONMENTS (MLHPC 2021), pp. 69–80.

By: C. Liao *, P. Lin *, G. Verma *, T. Vanderbruggen *, M. Emani *, Z. Nan n, X. Shen n 

author keywords: Ontology; HPC; FAIR; datasets; AI models
TL;DR: This paper's ongoing work of designing an ontology for high-performance computing (named HPC ontology) in order to make training datasets and AI models FAIR provides controlled vocabularies, explicit semantics, and formal knowledge representations. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries
Added: March 21, 2022

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