Zhiqiang Zhong

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 37

Top Topics

Bipartite Graph

Top Venues

Data Min. Knowl. Discov.

Trans. Mach. Learn. Res.

Publications

Zhiqiang Zhong, Kuangyu Zhou, Davide Mottin
Harnessing Large Language Models as Post-hoc Correctors. ACL (Findings) (2024)
Zhiqiang Zhong, Cheng-Te Li, Jun Pang
Multi-Grained Semantics-Aware Graph Neural Networks (Extended abstract). ICDE (2024)
Yali Zheng, Chen Wu, Peizheng Cai, Zhiqiang Zhong, Hongda Huang, Yuqi Jiang
Tiny-PPG: A lightweight deep neural network for real-time detection of motion artifacts in photoplethysmogram signals on edge devices. Internet Things 25 (2024)
Zhiqiang Zhong, Kuangyu Zhou, Davide Mottin
Harnessing Large Language Models as Post-hoc Correctors. CoRR (2024)
Zhiqiang Zhong, Davide Mottin
EvolMPNN: Predicting Mutational Effect on Homologous Proteins by Evolution Encoding. CoRR (2024)
Xingyao Yang, Zibo Dang, Jiong Yu, Zhiqiang Zhong, Mengxue Chang, Zulian Zhang
Sequence recommendation algorithm fusing filter and transformer under joint training. J. Intell. Fuzzy Syst. 46 (1) (2024)
Yi-Wei Cheng, Zhiqiang Zhong, Jun Pang, Cheng-Te Li
Hierarchical Bipartite Graph Convolutional Network for Recommendation. IEEE Comput. Intell. Mag. 19 (2) (2024)
Ninghan Chen, Xihui Chen, Zhiqiang Zhong, Jun Pang
Bridging Performance of X (formerly known as Twitter) Users: A Predictor of Subjective Well-Being During the Pandemic. ACM Trans. Web 18 (1) (2024)
Ninghan Chen, Xihui Chen, Zhiqiang Zhong, Jun Pang
A tale of two roles: exploring topic-specific susceptibility and influence in cascade prediction. Data Min. Knowl. Discov. 38 (1) (2024)
Zhiqiang Zhong, Kuangyu Zhou, Davide Mottin
Benchmarking Large Language Models for Molecule Prediction Tasks. CoRR (2024)
Zhiqiang Zhong, Cheng-Te Li, Jun Pang
Multi-Grained Semantics-Aware Graph Neural Networks. IEEE Trans. Knowl. Data Eng. 35 (7) (2023)
Zhiqiang Zhong, Cheng-Te Li, Jun Pang
Hierarchical message-passing graph neural networks. Data Min. Knowl. Discov. 37 (1) (2023)
Marc Christiansen, Lea Villadsen, Zhiqiang Zhong, Stefano Teso, Davide Mottin
How Faithful are Self-Explainable GNNs? CoRR (2023)
Chen Wu, Peizheng Cai, Zhiqiang Zhong, Yali Zheng
Tiny-PPG: A Lightweight Deep Neural Network for Real-Time Detection of Motion Artifacts in Photoplethysmogram Signals on Edge Devices. CoRR (2023)
Zhiqiang Zhong, Lian He, Changxiu Chen, Xingli Yang, Li Lin, Ziye Yan, Mengqiu Tian, Ying Sun, Yinwei Zhan
Full-scale attention network for automated organ segmentation on head and neck CT and MR images. IET Image Process. 17 (3) (2023)
Zhiqiang Zhong, Rongxuan He, Deming Zhu, Mengqiu Tian, Songfeng Li
Multi-task Learning with Iterative Training in Hybrid Labeling Dataset for Semi-supervised Abdominal Multi-organ and Tumor Segmentation. FLARE@MICCAI (2023)
Zhiqiang Zhong, Yangqianzi Jiang, Davide Mottin
On the Robustness of Post-hoc GNN Explainers to Label Noise. CoRR (2023)
Zhiqiang Zhong, Davide Mottin
Knowledge-augmented Graph Machine Learning for Drug Discovery: From Precision to Interpretability. KDD (2023)
Zhiqiang Zhong, Anastasia Barkova, Davide Mottin
Knowledge-augmented Graph Machine Learning for Drug Discovery: A Survey from Precision to Interpretability. CoRR (2023)
Zhiqiang Zhong, Guadalupe Gonzalez, Daniele Grattarola, Jun Pang
Unsupervised Network Embedding Beyond Homophily. Trans. Mach. Learn. Res. 2022 (2022)
Ninghan Chen, Xihui Chen, Zhiqiang Zhong, Jun Pang
The Burden of Being a Bridge: Analysing Subjective Well-Being of Twitter Users During the COVID-19 Pandemic. ECML/PKDD (2) (2022)
Zhiqiang Zhong, Sergei Ivanov, Jun Pang
Simplifying Node Classification on Heterophilous Graphs with Compatible Label Propagation. Trans. Mach. Learn. Res. 2022 (2022)
Zhiqiang Zhong, Cheng-Te Li, Jun Pang
Personalised meta-path generation for heterogeneous graph neural networks. Data Min. Knowl. Discov. 36 (6) (2022)
Zhiqiang Zhong, Guadalupe Gonzalez, Daniele Grattarola, Jun Pang
Unsupervised Heterophilous Network Embedding via r-Ego Network Discrimination. CoRR (2022)
Ninghan Chen, Xihui Chen, Zhiqiang Zhong, Jun Pang
"Double vaccinated, 5G boosted!": Learning Attitudes towards COVID-19 Vaccination from Social Media. CoRR (2022)
Zhiqiang Zhong, Sergey Ivanov, Jun Pang
Simplifying Node Classification on Heterophilous Graphs with Compatible Label Propagation. CoRR (2022)
Ninghan Chen, Xihui Chen, Zhiqiang Zhong, Jun Pang
Exploring Spillover Effects for COVID-19 Cascade Prediction. Entropy 24 (2) (2022)
Ninghan Chen, Xihui Chen, Zhiqiang Zhong, Jun Pang
The Burden of Being a Bridge: Understanding the Role of Multilingual Users during the COVID-19 Pandemic. CoRR (2021)
Ninghan Chen, Zhiqiang Zhong, Jun Pang
An Exploratory Study of COVID-19 Information on Twitter in the Greater Region. Big Data Cogn. Comput. 5 (1) (2021)
Ninghan Chen, Xihui Chen, Zhiqiang Zhong, Jun Pang
From #jobsearch to #mask: improving COVID-19 cascade prediction with spillover effects. ASONAM (2021)
Ninghan Chen, Zhiqiang Zhong, Jun Pang
An Exploratory Study of COVID-19 Information on Twitter in the Greater Region. CoRR (2020)
Zhiqiang Zhong, Yang Zhang, Jun Pang
NeuLP: An End-to-End Deep-Learning Model for Link Prediction. WISE (1) (2020)
Zhiqiang Zhong, Cheng-Te Li, Jun Pang
Adaptive Multi-grained Graph Neural Networks. CoRR (2020)
Ninghan Chen, Zhiqiang Zhong, Jun Pang
From #Jobsearch to #Mask: Improving COVID-19 Cascade Prediction with Spillover Effects. CoRR (2020)
Zhiqiang Zhong, Cheng-Te Li, Jun Pang
Hierarchical Message-Passing Graph Neural Networks. CoRR (2020)
Zhiqiang Zhong, Cheng-Te Li, Jun Pang
Reinforcement Learning Enhanced Heterogeneous Graph Neural Network. CoRR (2020)
Zhiqiang Zhong, Yang Zhang, Jun Pang
A Graph-Based Approach to Explore Relationship Between Hashtags and Images. WISE (2019)