Výsledky vyhľadávania - "Dongsheng Luo"

Biosynthesized Gold Nanoparticles for Surface-enhanced Raman Spectroscopic Detection of Nicotine in Tobacco.

Autori: Jingxin Li Yuwei Hu Shengxiao Wang a ďalší

Zdroj: Sensors & Materials; 2025, Vol. 37 Issue 8, Part 1, p3431-3445, 15p

Predmety: SERS spectroscopy, TOBACCO products, GOLD nanoparticles, SUBSTRATES (Materials science), TEA extracts

A Collective Approach to Scholar Name Disambiguation.

Autori: Luo, Dongsheng Ma, Shuai Yan, Yaowei a ďalší

Zdroj: IEEE Transactions on Knowledge & Data Engineering; May2022, Vol. 34 Issue 5, p2020-2032, 13p

Predmety: WIDE area networks, SCHOLARS, PERSONAL names

Mechanisms underlying the formation of main volatile odor sulfur compounds in foods during thermal processing

Autori: Dongsheng Luo Binqiang Tian Jingxin Li a ďalší

Zdroj: Comprehensive Reviews in Food Science and Food Safety. 23

Predmety: 0106 biological sciences, 0301 basic medicine, Volatile Organic Compounds, 03 medical and health sciences, Hot Temperature, Sulfur Compounds, Food Handling, Taste, Odorants, 01 natural sciences, Food Analysis, Maillard Reaction

Prístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/39031671

A Collective Approach to Scholar Name Disambiguation (Extended Abstract)

Autori: Jinpeng Huai Dongsheng Luo Xiang Zhang a ďalší

Zdroj: 2021 IEEE 37th International Conference on Data Engineering (ICDE). :2317-2318

Predmety: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Prístupová URL adresa: https://dblp.uni-trier.de/db/conf/icde/icde2021.html#Luo0YHZH21
https://www.computer.org/csdl/proceedings-article/icde/2021/918400c317/1uGXsnGDirC
https://pennstate.pure.elsevier.com/en/publications/a-collective-approach-to-scholar-name-disambiguation-extended-abs
http://doi.org/10.1109/ICDE51399.2021.00244
https://ieeexplore.ieee.org/document/9458707/
https://doi.org/10.1109/ICDE51399.2021.00244

Co‐circulation and characterization of novel African arboviruses (genus Ephemerovirus) in cattle, Mayotte island, Indian Ocean, 2017.

Autori: Dacheux, Laurent Dommergues, Laure Chouanibou, Youssouffi a ďalší

Zdroj: Transboundary & Emerging Diseases. Nov2019, Vol. 66 Issue 6, p2601-2604. 4p.

Query Independent Scholarly Article Ranking

Autori: Chunming Hu Dongsheng Luo Shuai Ma a ďalší

Zdroj: 2018 IEEE 34th International Conference on Data Engineering (ICDE). :953-964

Predmety: 2. Zero hunger, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Prístupová URL adresa: https://dblp.uni-trier.de/db/conf/icde/icde2018.html#MaGHLHH18

CURENet: combining unified representations for efficient chronic disease prediction.

Autori: Dao, Cong-Tinh Phan, Nguyen Minh Thao Ding, Jun-En a ďalší

Zdroj: Health Information Science & Systems; 11/27/2025, Vol. 14 Issue 1, p1-17, 17p

Data Augmentation on Graphs: A Technical Survey.

Autori: Zhou, Jiajun Xie, Chenxuan Gong, Shengbo a ďalší

Zdroj: ACM Computing Surveys; Nov2025, Vol. 57 Issue 11, p1-34, 34p

Predmety: GRAPH neural networks, ARTIFICIAL neural networks, MACHINE learning, DATA mining, PATTERN recognition systems, SUPERVISED learning, DEEP learning

Graph Machine Learning in the Era of Large Language Models (LLMs).

Autori: SHIJIE WANG JIANI HUANG ZHIKAI CHEN a ďalší

Zdroj: ACM Transactions on Intelligent Systems & Technology; Oct2025, Vol. 16 Issue 5, p1-40, 40p

Predmety: GRAPH neural networks, KNOWLEDGE graphs, GENERALIZATION, MACHINE learning, LANGUAGE models, DEEP learning, HETEROGENEITY

GCFExplainer: Global Counterfactual Explainer for Graph Neural Networks.

Autori: KOSAN, MERT ZEXI HUANG MEDYA, SOURAV a ďalší

Zdroj: ACM Transactions on Intelligent Systems & Technology; Oct2025, Vol. 16 Issue 5, p1-23, 23p

Predmety: GRAPH neural networks, COUNTERFACTUALS (Logic), MACHINE learning, RANDOM walks

Mechanisms underlying the formation of main volatile odor sulfur compounds in foods during thermal processing.

Autori: Luo, Dongsheng Tian, Binqiang Li, Jingxin a ďalší

Zdroj: Comprehensive Reviews in Food Science & Food Safety; Jul2024, Vol. 23 Issue 4, p1-30, 30p

Predmety: SULFUR compounds, HYDROGEN sulfide, ODORS, AMINO acid derivatives, MAILLARD reaction, FOOD quality, PROCESSED foods

Graph Neural Networks for Tabular Data Learning: A Survey with Taxonomy and Directions.

Autori: Li, Cheng-Te Tsai, Yu-Che Chen, Chih-Yao a ďalší

Zdroj: ACM Computing Surveys; Jan2026, Vol. 58 Issue 1, p1-51, 51p

Predmety: GRAPH neural networks, DATA structures, EVALUATION methodology

Denoising Heterogeneous Graph Pre-training Framework for Recommendation.

Autori: Sang, Lei Wang, Yu Zhang, Yiwen a ďalší

Zdroj: ACM Transactions on Information Systems; Sep2025, Vol. 43 Issue 5, p1-31, 31p

Predmety: GRAPH neural networks, INFORMATION filtering, SOURCE code, INFORMATION processing, SEMANTICS, RECOMMENDER systems

Class-Imbalanced Learning on Graphs: A Survey.

Autori: Ma, Yihong Tian, Yijun Moniz, Nuno a ďalší

Zdroj: ACM Computing Surveys; Aug2025, Vol. 57 Issue 8, p1-16, 16p

Predmety: GRAPH theory, MACHINE learning, EVALUATION methodology

2022 taxonomic update of phylum Negarnaviricota (Riboviria: Orthornavirae), including the large orders Bunyavirales and Mononegavirales.

Autori: Kuhn, Jens H. Adkins, Scott Alkhovsky, Sergey V. a ďalší

Zdroj: Archives of Virology; Dec2022, Vol. 167 Issue 12, p2857-2906, 50p

Predmety: TAXONOMY, SPECIES

A Survey on Graph Counterfactual Explanations: Definitions, Methods, Evaluation, and Research Challenges.

Autori: Prado-Romero, Mario Alfonso Prenkaj, Bardh Stilo, Giovanni a ďalší

Zdroj: ACM Computing Surveys; Jul2024, Vol. 56 Issue 7, p1-37, 37p

Predmety: ARTIFICIAL intelligence, ARTIFICIAL neural networks, GRAPH neural networks, DEEP reinforcement learning, PATTERN recognition systems, REINFORCEMENT learning, DEEP learning, GRAPH algorithms, BIPARTITE graphs

Beyond Static Boundaries: Unraveling Temporal Overlapping Communities with Information Bottleneck Guidance.

Autori: Lu, Moli Luo, Linhao Zhang, Xiaofeng

Zdroj: ACM Transactions on Knowledge Discovery from Data; Jun2025, Vol. 19 Issue 5, p1-25, 25p

Predmety: GRAPH neural networks, TIME-varying networks, DATA mining, INFORMATION networks, COMMUNITY change

Explaining the Explainers in Graph Neural Networks: a Comparative Study.

Autori: Longa, Antonio Azzolin, Steve Santin, Gabriele a ďalší

Zdroj: ACM Computing Surveys; May2025, Vol. 57 Issue 5, p1-37, 37p

Predmety: GRAPH neural networks, PATTERN recognition systems, DATA mining, LONG short-term memory, CONVOLUTIONAL neural networks, DEEP learning, DIRECTED graphs, RANDOM graphs

DyExplainer: Self-explainable Dynamic Graph Neural Network with Sparse Attentions.

Autori: Wang, Tianchun Luo, Dongsheng Cheng, Wei a ďalší

Zdroj: ACM Transactions on Knowledge Discovery from Data; May2025, Vol. 19 Issue 4, p1-21, 21p

Predmety: GRAPH neural networks, REPRESENTATIONS of graphs, PREDICTION models, SPINE

SAug: Structural Imbalance Aware Augmentation for Graph Neural Networks.

Autori: CHEN, KE-JIA MU, WENHUI LIU, ZULONG a ďalší

Zdroj: ACM Transactions on Intelligent Systems & Technology; Apr2025, Vol. 16 Issue 2, p1-22, 22p

Predmety: GRAPH neural networks, DATA augmentation, REPRESENTATIONS of graphs, MACHINE learning, PROBLEM solving