An Zeng

Orcid: 0000-0003-1215-2311

According to our database1, An Zeng authored at least 100 papers between 2002 and 2024.

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Bibliography

2024
Adaptive 3DCNN-Based Interpretable Ensemble Model for Early Diagnosis of Alzheimer's Disease.
IEEE Trans. Comput. Soc. Syst., February, 2024

QEAN: Quaternion-Enhanced Attention Network for Visual Dance Generation.
CoRR, 2024

2023
Target area distillation and section attention segmentation network for accurate 3D medical image segmentation.
Health Inf. Sci. Syst., December, 2023

Attractive deep morphology-aware active contour network for vertebral body contour extraction with extensions to heterogeneous and semi-supervised scenarios.
Medical Image Anal., October, 2023

ImageCAS: A large-scale dataset and benchmark for coronary artery segmentation based on computed tomography angiography images.
Comput. Medical Imaging Graph., October, 2023

Feature-correlation-aware history-preserving-sparse-coding framework for automatic vertebra recognition.
Comput. Biol. Medicine, June, 2023

Enhancing the robustness of the disruption metric against noise.
Scientometrics, April, 2023

Evaluating scientists by citation and disruption of their representative works.
Scientometrics, March, 2023

A high-frequency mobility big-data reveals how COVID-19 spread across professions, locations and age groups.
PLoS Comput. Biol., 2023

Disruptive papers in science are losing impact.
CoRR, 2023

Learning Hierarchical Representations in Temporal and Frequency Domains for Time Series Forecasting.
Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

CFNet: A Coarse-to-Fine Framework for Coronary Artery Segmentation.
Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

Early Diagnosis of Alzheimer's Disease Based on Multimodal Hypergraph Attention Network.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

Time-Series Data Imputation via Realistic Masking-Guided Tri-Attention Bi-GRU.
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

2022
DeepIII: Predicting Isoform-Isoform Interactions by Deep Neural Networks and Data Fusion.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022

Predicting the impact and publication date of individual scientists' future papers.
Scientometrics, 2022

Improving PageRank using sports results modeling.
Knowl. Based Syst., 2022

Bibliographic coupling networks reveal the advantage of diversification in scientific projects.
J. Informetrics, 2022

Maximizing spreading in complex networks with risk in node activation.
Inf. Sci., 2022

Quantifying the structural and temporal characteristics of negative links in signed citation networks.
Inf. Process. Manag., 2022

ImageCAS: A Large-Scale Dataset and Benchmark for Coronary Artery Segmentation based on Computed Tomography Angiography Images.
CoRR, 2022

Impactful scientists have higher tendency to involve collaborators in new topics.
CoRR, 2022

A variable-length encoding genetic algorithm for incremental service composition in uncertain environments for cloud manufacturing.
Appl. Soft Comput., 2022

Het2Hom: Representation of Heterogeneous Attributes into Homogeneous Concept Spaces for Categorical-and-Numerical-Attribute Data Clustering.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Heterogeneous Drift Learning: Classification of Mix-Attribute Data with Concept Drifts.
Proceedings of the 9th IEEE International Conference on Data Science and Advanced Analytics, 2022

ImageALCAPA: A 3D Computed Tomography Image Dataset for Automatic Segmentation of Anomalous Left Coronary Artery from Pulmonary Artery.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021
Link prediction in growing networks with aging.
Soc. Networks, 2021

Solving the cold-start problem in scientific credit allocation.
J. Informetrics, 2021

Quantifying the impact of a teamwork publication.
J. Informetrics, 2021

Characteristics of human mobility patterns revealed by high-frequency cell-phone position data.
EPJ Data Sci., 2021

Understanding the Anticontagion Process and Reopening of China during COVID-19 via Coevolution Network of Epidemic and Awareness.
Complex., 2021

2020
Identifying prize-winning scientists by a competition-aware ranking.
J. Informetrics, 2020

Alleviating the data sparsity problem of recommender systems by clustering nodes in bipartite networks.
Expert Syst. Appl., 2020

Limits of PageRank-based ranking methods in sports data.
CoRR, 2020

The critical role of fresh teams in creating original and multi-disciplinary research.
CoRR, 2020

Prediction Model Based on Integrated Political Economy System: The Case of US Presidential Election.
CoRR, 2020

2019
The strong nonlinear effect in academic dropout.
Scientometrics, 2019

Ranking scientific publications considering the aging characteristics of citations.
Scientometrics, 2019

A nonlinear collective credit allocation in scientific publications.
Scientometrics, 2019

Can we predict ESI highly cited publications?
Scientometrics, 2019

Predictability of diffusion-based recommender systems.
Knowl. Based Syst., 2019

基于深度双向LSTM的股票推荐系统 (Stock Recommendation System Based on Deep Bidirectional LSTM).
计算机科学, 2019

Discoverers in scientific citation data.
J. Informetrics, 2019

Enhancing the long-term performance of recommender system.
CoRR, 2019

Early Diagnosis of Alzheimer's Disease Based on Deep Learning and GWAS.
Proceedings of the Human Brain and Artificial Intelligence - First International Workshop, 2019

Learning Discriminative Finger-knuckle-print Descriptor.
Proceedings of the IEEE International Conference on Acoustics, 2019

2018
The representative works of scientists.
Scientometrics, 2018

Identifying important scholars via directed scientific collaboration networks.
Scientometrics, 2018

Optimal timescale of community detection in growing networks.
CoRR, 2018

An Optimization Approach Based on Collective Correlation Coefficient for Biomarker Extraction in the Classification of Alzheimer's Disease.
Proceedings of the Recent Trends and Future Technology in Applied Intelligence, 2018

2017
Standing on the shoulders of giants: the effect of outstanding scientists on young collaborators' careers.
Scientometrics, 2017

基于好友关系和标签的混合协同过滤算法 (Hybrid Collaborative Filtering Recommendation Algorithm Based on Friendships and Tag).
计算机科学, 2017

融合信任关系和有用性评价的矩阵分解推荐方法 (Using Social Trust Relationship and Helpfullness Ratings for Recommendation Based on Matrix Factorization).
计算机科学, 2017

融合时间因素和用户评分特性的协同过滤算法 (Collaborative Filtering Algorithm Incorporating Time Factor and User Preference Properties).
计算机科学, 2017

Timeliness in recommender systems.
Expert Syst. Appl., 2017

Information mining in weighted complex networks with nonlinear rating projection.
Commun. Nonlinear Sci. Numer. Simul., 2017

2016
Ranking scientific publications with similarity-preferential mechanism.
Scientometrics, 2016

基于MIC的深度置信网络研究 (Deep Belief Networks Research Based on Maximum Information Coefficient).
计算机科学, 2016

Which publication is your representative work?
J. Informetrics, 2016

2015
Modeling mutual feedback between users and recommender systems.
CoRR, 2015

Network-based recommendation algorithms: A review.
CoRR, 2015

Prediction in complex systems: the case of the international trade network.
CoRR, 2015

The spreading ability of nodes towards localized targets in complex networks.
CoRR, 2015

Identification and modeling of discoverers in online social systems.
CoRR, 2015

2014
Temporal effects in trend prediction: identifying the most popular nodes in the future.
CoRR, 2014

Uncovering the information core in recommender systems.
CoRR, 2014

Towards an objective ranking in online reputation systems: the effect of the rating projection.
CoRR, 2014

Predicting missing links via correlation between nodes.
CoRR, 2014

Reconstructing propagation networks with temporal similarity metrics.
CoRR, 2014

Applications of Multivariate Time Series Analysis, Kalman Filter and Neural Networks in Estimating Capital Asset Pricing Model.
Proceedings of the Modern Advances in Applied Intelligence, 2014

2013
Extracting the information backbone in online system
CoRR, 2013

Information filtering in sparse online systems: recommendation via semi-local diffusion.
CoRR, 2013

Membership in social networks and the application in information filtering.
CoRR, 2013

Information filtering via hybridization of similarity preferential diffusion processes.
CoRR, 2013

Inferring network topology via the propagation process.
CoRR, 2013

Path diversity improves the identification of influential spreaders.
CoRR, 2013

Trend Prediction in Temporal bipartite Networks: the Case of MovieLens, Netflix, and Digg.
Adv. Complex Syst., 2013

The Role of Taste Affinity in Agent-Based Models for Social Recommendation.
Adv. Complex Syst., 2013

2012
Adaptive social recommendation in a multiple category landscape
CoRR, 2012

Improving information filtering via network manipulation
CoRR, 2012

Ranking spreaders by decomposing complex networks
CoRR, 2012

Enhancing network robustness for malicious attacks
CoRR, 2012

Recommendation of Leaders in Online Social Systems.
Proceedings of the Foundations of Intelligent Systems - 20th International Symposium, 2012

2011
Degree heterogeneity in spatial networks with total cost constraint
CoRR, 2011

Removing spurious interactions in complex networks
CoRR, 2011

Enhancing synchronization in growing networks
CoRR, 2011

Behavior patterns of online users and the effect on information filtering
CoRR, 2011

Reconstructing directed networks for better synchronization
CoRR, 2011

A Global Unsupervised Data Discretization Algorithm Based on Collective Correlation Coefficient.
Proceedings of the Modern Approaches in Applied Intelligence, 2011

2010
Enhancing synchronization by directionality in complex networks
CoRR, 2010

Efficient Topology-aware Coarse Graining for Synchronization in Directed Networks
CoRR, 2010

2009
Features of Hodgkin-Huxley Neuron Response to Periodic Spike-Train Inputs.
Proceedings of the Advances in Neural Networks, 2009

2007
Prediction of MHC II-binding peptides using rough set-based rule sets ensemble.
Appl. Intell., 2007

Rule Induction for Prediction of MHC II-Binding Peptides.
Proceedings of the Rough Sets and Knowledge Technology, Second International Conference, 2007

2006
Knowledge Acquisition Based on Rough Set Theory and Principal Component Analysis.
IEEE Intell. Syst., 2006

A Rule Sets Ensemble for Predicting MHC II-Binding Peptides.
Proceedings of the Advances in Applied Artificial Intelligence, 2006

2004
Utilizing modular neural networks to predict MHC class II-binding peptides.
Proceedings of the IEEE International Conference on Systems, 2004

Prediction of MHC class II-binding peptides based on sequential learning.
Proceedings of the IEEE International Conference on Systems, 2004

A practical strategy for acquiring rules based on rough sets and principal component analysis.
Proceedings of the IEEE International Conference on Systems, 2004

2002
A novel self-optimizing approach for knowledge acquisition.
IEEE Trans. Syst. Man Cybern. Part A, 2002


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