We stand with Ukraine

We stand with Ukraine

Zhiqiang Zhong

Orcid: 0000-0002-1226-5597

According to our database¹, Zhiqiang Zhong authored at least 34 papers between 2019 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Links

On csauthors.net:

Bibliography

2024

Hierarchical Bipartite Graph Convolutional Network for Recommendation.

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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.

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Internet Things, April, 2024

Bridging Performance of X (formerly known as Twitter) Users: A Predictor of Subjective Well-Being During the Pandemic.

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ACM Trans. Web, February, 2024

Sequence recommendation algorithm fusing filter and transformer under joint training.

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J. Intell. Fuzzy Syst., January, 2024

A tale of two roles: exploring topic-specific susceptibility and influence in cascade prediction.

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Data Min. Knowl. Discov., January, 2024

Benchmarking Large Language Models for Molecule Prediction Tasks.

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CoRR, 2024

EvolMPNN: Predicting Mutational Effect on Homologous Proteins by Evolution Encoding.

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CoRR, 2024

Harnessing Large Language Models as Post-hoc Correctors.

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CoRR, 2024

2023

Multi-Grained Semantics-Aware Graph Neural Networks.

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IEEE Trans. Knowl. Data Eng., July, 2023

Full-scale attention network for automated organ segmentation on head and neck CT and MR images.

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IET Image Process., February, 2023

Hierarchical message-passing graph neural networks.

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Data Min. Knowl. Discov., 2023

On the Robustness of Post-hoc GNN Explainers to Label Noise.

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Yangqianzi Jiang

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CoRR, 2023

How Faithful are Self-Explainable GNNs?

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Marc Christiansen

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CoRR, 2023

Tiny-PPG: A Lightweight Deep Neural Network for Real-Time Detection of Motion Artifacts in Photoplethysmogram Signals on Edge Devices.

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CoRR, 2023

Knowledge-augmented Graph Machine Learning for Drug Discovery: A Survey from Precision to Interpretability.

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Anastasia Barkova

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CoRR, 2023

Knowledge-augmented Graph Machine Learning for Drug Discovery: From Precision to Interpretability.

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Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2022

GR-ego COVID-19 Twitter dataset.

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Dataset, October, 2022

Leveraging Graph Machine Learning for Social Network Analysis.

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PhD thesis, 2022

Simplifying Node Classification on Heterophilous Graphs with Compatible Label Propagation.

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Trans. Mach. Learn. Res., 2022

Unsupervised Network Embedding Beyond Homophily.

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Guadalupe Gonzalez

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Daniele Grattarola

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Trans. Mach. Learn. Res., 2022

Exploring Spillover Effects for COVID-19 Cascade Prediction.

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Entropy, 2022

Personalised meta-path generation for heterogeneous graph neural networks.

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Data Min. Knowl. Discov., 2022

"Double vaccinated, 5G boosted!": Learning Attitudes towards COVID-19 Vaccination from Social Media.

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CoRR, 2022

Simplifying Node Classification on Heterophilous Graphs with Compatible Label Propagation.

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CoRR, 2022

Unsupervised Heterophilous Network Embedding via r-Ego Network Discrimination.

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Guadalupe Gonzalez

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Daniele Grattarola

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CoRR, 2022

The Burden of Being a Bridge: Analysing Subjective Well-Being of Twitter Users During the COVID-19 Pandemic.

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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.

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CoRR, 2021

An Exploratory Study of COVID-19 Information on Twitter in the Greater Region.

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Big Data Cogn. Comput., 2021

From #jobsearch to #mask: improving COVID-19 cascade prediction with spillover effects.

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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.

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CoRR, 2020

Reinforcement Learning Enhanced Heterogeneous Graph Neural Network.

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CoRR, 2020

Adaptive Multi-grained Graph Neural Networks.

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CoRR, 2020

NeuLP: An End-to-End Deep-Learning Model for Link Prediction.

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Proceedings of the Web Information Systems Engineering - WISE 2020, 2020

2019

A Graph-Based Approach to Explore Relationship Between Hashtags and Images.

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Proceedings of the Web Information Systems Engineering - WISE 2019, 2019

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