123 citations · 437 across the 17 of their papers we have counts for
17 papers
Exploring Large Language Models for Ontology Alignment
Yuan He, Jiaoyan Chen, Hang Dong +1
This work investigates the applicability of recent generative Large Language Models (LLMs), such as the GPT series and Flan-T5, to ontology alignment for identifying concept equiva…
Robust Positive-Unlabeled Learning via Noise Negative Sample Self-correction
Zhangchi Zhu, Lu Wang, Pu Zhao +7
Learning from positive and unlabeled data is known as positive-unlabeled (PU) learning in literature and has attracted much attention in recent years. One common approach in PU lea…
DeepOnto: A Python Package for Ontology Engineering with Deep Learning
Yuan He, Jiaoyan Chen, Hang Dong +4
Integrating deep learning techniques, particularly language models (LMs), with knowledge representation techniques like ontologies has raised widespread attention, urging the need…
Ontology Enrichment from Texts: A Biomedical Dataset for Concept Discovery and Placement
Hang Dong, Jiaoyan Chen, Yuan He +1
Mentions of new concepts appear regularly in texts and require automated approaches to harvest and place them into Knowledge Bases (KB), e.g., ontologies and taxonomies. Existing d…
Introspective Tips: Large Language Model for In-Context Decision Making
Liting Chen, Lu Wang, Hang Dong +9
The emergence of large language models (LLMs) has substantially influenced natural language processing, demonstrating exceptional results across various tasks. In this study, we em…
Reveal the Unknown: Out-of-Knowledge-Base Mention Discovery with Entity Linking
Hang Dong, Jiaoyan Chen, Yuan He +2
Discovering entity mentions that are out of a Knowledge Base (KB) from texts plays a critical role in KB maintenance, but has not yet been fully explored. The current methods are m…
Language Model Analysis for Ontology Subsumption Inference
Yuan He, Jiaoyan Chen, Ernesto Jiménez-Ruiz +2
Investigating whether pre-trained language models (LMs) can function as knowledge bases (KBs) has raised wide research interests recently. However, existing works focus on simple,…
Learning Cooperative Oversubscription for Cloud by Chance-Constrained Multi-Agent Reinforcement Learning
Junjie Sheng, Lu Wang, Fangkai Yang +9
Oversubscription is a common practice for improving cloud resource utilization. It allows the cloud service provider to sell more resources than the physical limit, assuming not al…
Digital simulation of non-Abelian anyons with 68 programmable superconducting qubits
Shibo Xu, Zheng-Zhi Sun, Ke Wang +31
Non-Abelian anyons are exotic quasiparticle excitations hosted by certain topological phases of matter. They break the fermion-boson dichotomy and obey non-Abelian braiding statist…
Coherent control of quantum topological states of light in Fock-state lattices
Jinfeng Deng, Hang Dong, Chuanyu Zhang +11
Topological photonics provides a novel platform to explore topological physics beyond traditional electronic materials and stimulates promising applications in topologically protec…
Quantum Thermodynamic Uncertainties in Nonequilibrium Systems from Robertson-Schrödinger Relations
Hang Dong, Daniel Reiche, Jen-Tsung Hsiang +1
Thermodynamic uncertainty principles make up one of the few rare anchors in the largely uncharted waters of nonequilibrium systems, the fluctuation theorems being the more familiar…
Machine Learning-Friendly Biomedical Datasets for Equivalence and Subsumption Ontology Matching
Yuan He, Jiaoyan Chen, Hang Dong +3
Ontology Matching (OM) plays an important role in many domains such as bioinformatics and the Semantic Web, and its research is becoming increasingly popular, especially with the a…
Observation of a symmetry-protected topological time crystal with superconducting qubits
Xu Zhang, Wenjie Jiang, Jinfeng Deng +15
We report the observation of a symmetry-protected topological time crystal, which is implemented with an array of programmable superconducting qubits. Unlike the time crystals repo…
CoPHE: A Count-Preserving Hierarchical Evaluation Metric in Large-Scale Multi-Label Text Classification
Matúš Falis, Hang Dong, Alexandra Birch +1
Large-Scale Multi-Label Text Classification (LMTC) includes tasks with hierarchical label spaces, such as automatic assignment of ICD-9 codes to discharge summaries. Performance of…
Rare Disease Identification from Clinical Notes with Ontologies and Weak Supervision
Hang Dong, Víctor Suárez-Paniagua, Huayu Zhang +3
The identification of rare diseases from clinical notes with Natural Language Processing (NLP) is challenging due to the few cases available for machine learning and the need of da…
Gated Fusion Network for Degraded Image Super Resolution
Xinyi Zhang, Hang Dong, Zhe Hu +3
Single image super resolution aims to enhance image quality with respect to spatial content, which is a fundamental task in computer vision. In this work, we address the task of si…
Gated Fusion Network for Joint Image Deblurring and Super-Resolution
Xinyi Zhang, Hang Dong, Zhe Hu +3
Single-image super-resolution is a fundamental task for vision applications to enhance the image quality with respect to spatial resolution. If the input image contains degraded pi…