Ping Wang

Orcid: 0000-0003-0033-4150

Affiliations:
  • Wuhan University, School of Information Management, Centre for Studies of Information Resources, Hubei, China


According to our database1, Ping Wang authored at least 17 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2024
Confidence-based Syntax encoding network for better ancient Chinese understanding.
Inf. Process. Manag., March, 2024

Multi-modal Auto-regressive Modeling via Visual Words.
CoRR, 2024

Multi-modal Auto-regressive Modeling via Visual Tokens.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Exploring the Citation Lag in LIS: Trends and Correlations.
Proceedings of the Wisdom, Well-Being, Win-Win, 2024

Semantics-Preserved Distortion for Personal Privacy Protection in Information Management.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2024, 2024

2023
Affective memories and perceived value: motivators and inhibitors of the data search-access process.
J. Documentation, 2023

A machine learning approach to primacy-peak-recency effect-based satisfaction prediction.
Inf. Process. Manag., 2023

ArcMMLU: A Library and Information Science Benchmark for Large Language Models.
CoRR, 2023

ArcGPT: A Large Language Model Tailored for Real-world Archival Applications.
CoRR, 2023

Enhancing Ancient Chinese Understanding with Derived Noisy Syntax Trees.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics: Student Research Workshop, 2023

2022
Is cross-linguistic advert flaw detection in Wikipedia feasible? A multilingual-BERT-based transfer learning approach.
Knowl. Based Syst., 2022

2021
Potential index: Revealing the future impact of research topics based on current knowledge networks.
J. Informetrics, 2021

A deep learning-based quality assessment model of collaboratively edited documents: A case study of Wikipedia.
J. Inf. Sci., 2021

A hybrid approach to classifying Wikipedia article quality flaws with feature fusion framework.
Expert Syst. Appl., 2021

S2SAN: A sentence-to-sentence attention network for sentiment analysis of online reviews.
Decis. Support Syst., 2021

Cognitive mechanisms underlying interaction and contribution in online health communities: the perspectives of doctors and patients.
Aslib J. Inf. Manag., 2021

Measuring Quality of Wikipedia Articles by Feature Fusion-based Stack Learning.
Proceedings of the Information: Equity, Diversity, Inclusion, Justice, and Relevance, 2021


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