Zhiqiang Zhong
Orcid: 0000-0002-0220-159X
According to our database1,
Zhiqiang Zhong
authored at least 39 papers
between 2019 and 2024.
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Bibliography
2024
IEEE Comput. Intell. Mag., May, 2024
Tiny-PPG: A lightweight deep neural network for real-time detection of motion artifacts in photoplethysmogram signals on edge devices.
Internet Things, April, 2024
Bridging Performance of X (formerly known as Twitter) Users: A Predictor of Subjective Well-Being During the Pandemic.
ACM Trans. Web, February, 2024
Sequence recommendation algorithm fusing filter and transformer under joint training.
J. Intell. Fuzzy Syst., January, 2024
A tale of two roles: exploring topic-specific susceptibility and influence in cascade prediction.
Data Min. Knowl. Discov., January, 2024
CoRR, 2024
Exploring Graph Structure Comprehension Ability of Multimodal Large Language Models: Case Studies.
CoRR, 2024
CoRR, 2024
Efficiently Predicting Mutational Effect on Homologous Proteins by Evolution Encoding.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024
Proceedings of the Findings of the Association for Computational Linguistics, 2024
2023
IEEE Trans. Knowl. Data Eng., July, 2023
Full-scale attention network for automated organ segmentation on head and neck CT and MR images.
IET Image Process., February, 2023
Tiny-PPG: A Lightweight Deep Neural Network for Real-Time Detection of Motion Artifacts in Photoplethysmogram Signals on Edge Devices.
CoRR, 2023
Knowledge-augmented Graph Machine Learning for Drug Discovery: A Survey from Precision to Interpretability.
CoRR, 2023
Multi-task Learning with Iterative Training in Hybrid Labeling Dataset for Semi-supervised Abdominal Multi-organ and Tumor Segmentation.
Proceedings of the Fast, Low-resource, and Accurate Organ and Pan-cancer Segmentation in Abdomen CT, 2023
Knowledge-augmented Graph Machine Learning for Drug Discovery: From Precision to Interpretability.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
2022
Simplifying Node Classification on Heterophilous Graphs with Compatible Label Propagation.
Trans. Mach. Learn. Res., 2022
Data Min. Knowl. Discov., 2022
"Double vaccinated, 5G boosted!": Learning Attitudes towards COVID-19 Vaccination from Social Media.
CoRR, 2022
Simplifying Node Classification on Heterophilous Graphs with Compatible Label Propagation.
CoRR, 2022
CoRR, 2022
The Burden of Being a Bridge: Analysing Subjective Well-Being of Twitter Users During the COVID-19 Pandemic.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022
2021
The Burden of Being a Bridge: Understanding the Role of Multilingual Users during the COVID-19 Pandemic.
CoRR, 2021
Big Data Cogn. Comput., 2021
From #jobsearch to #mask: improving COVID-19 cascade prediction with spillover effects.
Proceedings of the ASONAM '21: International Conference on Advances in Social Networks Analysis and Mining, Virtual Event, The Netherlands, November 8, 2021
2020
From #Jobsearch to #Mask: Improving COVID-19 Cascade Prediction with Spillover Effects.
CoRR, 2020
Proceedings of the Web Information Systems Engineering - WISE 2020, 2020
2019
Proceedings of the Web Information Systems Engineering - WISE 2019, 2019