default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDZhiqiang Zhong
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
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) - [c9]Zhiqiang Zhong, Kuangyu Zhou, Davide Mottin:
Harnessing Large Language Models as Post-hoc Correctors. ACL (Findings) 2024: 14559-14574 - [c8]Zhiqiang Zhong, Cheng-Te Li, Jun Pang:
Multi-Grained Semantics-Aware Graph Neural Networks (Extended abstract). ICDE 2024: 5691-5692 - [c7]Zhiqiang Zhong, Davide Mottin:
Efficiently Predicting Mutational Effect on Homologous Proteins by Evolution Encoding. ECML/PKDD (7) 2024: 399-415 - [i17]Zhiqiang Zhong, Kuangyu Zhou, Davide Mottin:
Harnessing Large Language Models as Post-hoc Correctors. CoRR abs/2402.13414 (2024) - [i16]Zhiqiang Zhong, Davide Mottin:
EvolMPNN: Predicting Mutational Effect on Homologous Proteins by Evolution Encoding. CoRR abs/2402.13418 (2024) - [i15]Zhiqiang Zhong, Kuangyu Zhou, Davide Mottin:
Benchmarking Large Language Models for Molecule Prediction Tasks. CoRR abs/2403.05075 (2024) - [i14]Zhiqiang Zhong, Davide Mottin:
Exploring Graph Structure Comprehension Ability of Multimodal Large Language Models: Case Studies. CoRR abs/2409.08864 (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
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-14 23:29 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
