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Zhiqiang Zhong
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2020 – today
- 2024
- [j13]Yi-Wei Cheng
, Zhiqiang Zhong
, Jun Pang
, Cheng-Te Li
:
Hierarchical Bipartite Graph Convolutional Network for Recommendation. IEEE Comput. Intell. Mag. 19(2): 49-60 (2024) - [j12]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): 79-109 (2024) - [j11]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: 101007 (2024) - [j10]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): 941-953 (2024) - [j9]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): 15:1-15:23 (2024) - [c7]Zhiqiang Zhong, Cheng-Te Li, Jun Pang:
Multi-Grained Semantics-Aware Graph Neural Networks (Extended abstract). ICDE 2024: 5691-5692 - [i16]Zhiqiang Zhong, Kuangyu Zhou, Davide Mottin:
Harnessing Large Language Models as Post-hoc Correctors. CoRR abs/2402.13414 (2024) - [i15]Zhiqiang Zhong, Davide Mottin:
EvolMPNN: Predicting Mutational Effect on Homologous Proteins by Evolution Encoding. CoRR abs/2402.13418 (2024) - [i14]Zhiqiang Zhong, Kuangyu Zhou, Davide Mottin:
Benchmarking Large Language Models for Molecule Prediction Tasks. CoRR abs/2403.05075 (2024) - 2023
- [j8]Zhiqiang Zhong
, Cheng-Te Li, Jun Pang:
Hierarchical message-passing graph neural networks. Data Min. Knowl. Discov. 37(1): 381-408 (2023) - [j7]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): 660-673 (2023) - [j6]Zhiqiang Zhong
, Cheng-Te Li
, Jun Pang
:
Multi-Grained Semantics-Aware Graph Neural Networks. IEEE Trans. Knowl. Data Eng. 35(7): 7251-7262 (2023) - [c6]Zhiqiang Zhong
, Davide Mottin
:
Knowledge-augmented Graph Machine Learning for Drug Discovery: From Precision to Interpretability. KDD 2023: 5841-5842 - [c5]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: 306-318 - [i13]Zhiqiang Zhong, Anastasia Barkova, Davide Mottin:
Knowledge-augmented Graph Machine Learning for Drug Discovery: A Survey from Precision to Interpretability. CoRR abs/2302.08261 (2023) - [i12]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 abs/2305.03308 (2023) - [i11]Marc Christiansen, Lea Villadsen, Zhiqiang Zhong, Stefano Teso, Davide Mottin:
How Faithful are Self-Explainable GNNs? CoRR abs/2308.15096 (2023) - [i10]Zhiqiang Zhong, Yangqianzi Jiang, Davide Mottin:
On the Robustness of Post-hoc GNN Explainers to Label Noise. CoRR abs/2309.01706 (2023) - 2022
- [b1]Zhiqiang Zhong:
Leveraging Graph Machine Learning for Social Network Analysis. University of Luxembourg, Luxembourg, 2022 - [j5]Zhiqiang Zhong
, Cheng-Te Li, Jun Pang:
Personalised meta-path generation for heterogeneous graph neural networks. Data Min. Knowl. Discov. 36(6): 2299-2333 (2022) - [j4]Ninghan Chen, Xihui Chen
, Zhiqiang Zhong
, Jun Pang
:
Exploring Spillover Effects for COVID-19 Cascade Prediction. Entropy 24(2): 222 (2022) - [j3]Zhiqiang Zhong, Guadalupe Gonzalez, Daniele Grattarola, Jun Pang:
Unsupervised Network Embedding Beyond Homophily. Trans. Mach. Learn. Res. 2022 (2022) - [j2]Zhiqiang Zhong, Sergei Ivanov, Jun Pang:
Simplifying Node Classification on Heterophilous Graphs with Compatible Label Propagation. Trans. Mach. Learn. Res. 2022 (2022) - [c4]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: 241-257 - [d1]Ninghan Chen
, Xihui Chen, Zhiqiang Zhong, Jun Pang:
GR-ego COVID-19 Twitter dataset. IEEE DataPort, 2022 - [i9]Zhiqiang Zhong, Guadalupe Gonzalez, Daniele Grattarola, Jun Pang:
Unsupervised Heterophilous Network Embedding via r-Ego Network Discrimination. CoRR abs/2203.10866 (2022) - [i8]Zhiqiang Zhong, Sergey Ivanov, Jun Pang:
Simplifying Node Classification on Heterophilous Graphs with Compatible Label Propagation. CoRR abs/2205.09389 (2022) - [i7]Ninghan Chen, Xihui Chen
, Zhiqiang Zhong, Jun Pang:
"Double vaccinated, 5G boosted!": Learning Attitudes towards COVID-19 Vaccination from Social Media. CoRR abs/2206.13456 (2022) - 2021
- [j1]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): 5 (2021) - [c3]Ninghan Chen, Xihui Chen, Zhiqiang Zhong, Jun Pang:
From #jobsearch to #mask: improving COVID-19 cascade prediction with spillover effects. ASONAM 2021: 455-462 - [i6]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 abs/2104.04331 (2021) - 2020
- [c2]Zhiqiang Zhong, Yang Zhang, Jun Pang:
NeuLP: An End-to-End Deep-Learning Model for Link Prediction. WISE (1) 2020: 96-108 - [i5]Ninghan Chen, Zhiqiang Zhong, Jun Pang:
An Exploratory Study of COVID-19 Information on Twitter in the Greater Region. CoRR abs/2008.05900 (2020) - [i4]Zhiqiang Zhong, Cheng-Te Li, Jun Pang:
Hierarchical Message-Passing Graph Neural Networks. CoRR abs/2009.03717 (2020) - [i3]Zhiqiang Zhong, Cheng-Te Li, Jun Pang:
Adaptive Multi-grained Graph Neural Networks. CoRR abs/2010.00238 (2020) - [i2]Zhiqiang Zhong, Cheng-Te Li, Jun Pang:
Reinforcement Learning Enhanced Heterogeneous Graph Neural Network. CoRR abs/2010.13735 (2020) - [i1]Ninghan Chen, Zhiqiang Zhong, Jun Pang:
From #Jobsearch to #Mask: Improving COVID-19 Cascade Prediction with Spillover Effects. CoRR abs/2012.07088 (2020)
2010 – 2019
- 2019
- [c1]Zhiqiang Zhong, Yang Zhang, Jun Pang:
A Graph-Based Approach to Explore Relationship Between Hashtags and Images. WISE 2019: 473-488
Coauthor Index
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last updated on 2024-08-03 21:13 CEST by the dblp team
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