Chuang Liu

Orcid: 0000-0003-4835-6623

Affiliations:
  • Hangzhou Normal University, Alibaba Research Center for Complexity Sciences, China
  • East China University of Science and Technology, School of Business, Shanghai, China (former)


According to our database1, Chuang Liu authored at least 52 papers between 2010 and 2024.

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Bibliography

2024
Directed Network Comparison Using Motifs.
Entropy, February, 2024

BCIM: Budget and capacity constrained influence maximization in multilayer networks.
CoRR, 2024

Research on Joint Drug Prediction Based on Bipartite Networks.
Proceedings of the 2024 4th International Conference on Bioinformatics and Intelligent Computing, 2024

Prediction of degradation for mRNA vaccines based on pre-trained model.
Proceedings of the 2024 4th International Conference on Bioinformatics and Intelligent Computing, 2024

2023
Exploring the Effect of Social Media and Spatial Characteristics During the COVID-19 Pandemic in China.
IEEE Trans. Netw. Sci. Eng., 2023

An efficient adaptive degree-based heuristic algorithm for influence maximization in hypergraphs.
Inf. Process. Manag., 2023

Exploring privacy requirements gap between developers and end users.
Inf. Softw. Technol., 2023

Influence maximization in multilayer networks based on adaptive coupling degree.
CoRR, 2023

A universal meta-heuristic framework for influence maximization in hypergraphs.
CoRR, 2023

A hyper-distance-based method for hypernetwork comparison.
CoRR, 2023

A Preliminary Evaluation of ChatGPT in Requirements Information Retrieval.
CoRR, 2023

Research on Recommendation Algorithms Based on Asymmetric Attention Mechanism Models.
Proceedings of the 8th International Conference on Data Science in Cyberspace, 2023

2022
Toward Structural Controllability and Predictability in Directed Networks.
IEEE Trans. Syst. Man Cybern. Syst., 2022

Enhancing Cancer Driver Gene Prediction by Protein-Protein Interaction Network.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022

Detecting Features Concerning Privacy From App Reviews.
CoRR, 2022

Vital node identification in hypergraphs via gravity model.
CoRR, 2022

Influence Maximization in Hypergraphs.
CoRR, 2022

Automatic Terminology Extraction and Ranking for Feature Modeling.
Proceedings of the 30th IEEE International Requirements Engineering Conference, 2022

2021
Effective Model Integration Algorithm for Improving Link and Sign Prediction in Complex Networks.
IEEE Trans. Netw. Sci. Eng., 2021

The aging effect in evolving scientific citation networks.
Scientometrics, 2021

Quantification of network structural dissimilarities based on graph embedding.
CoRR, 2021

Measuring and utilizing temporal network dissimilarity.
CoRR, 2021

Toward Structural Controllability and Predictability in Directed Networks.
CoRR, 2021

A network-based deep learning methodology for stratification of tumor mutations.
Bioinform., 2021

2020
Individualized genetic network analysis reveals new therapeutic vulnerabilities in 6, 700 cancer genomes.
PLoS Comput. Biol., 2020

Markov-based solution for information diffusion on adaptive social networks.
Appl. Math. Comput., 2020

2019
Predicting Financial Extremes Based on Weighted Visual Graph of Major Stock Indices.
Complex., 2019

2018
Coupling dynamics of epidemic spreading and information diffusion on complex networks.
Appl. Math. Comput., 2018

2017
TIIREC: A tensor approach for tag-driven item recommendation with sparse user generated content.
Inf. Sci., 2017

Information diffusion on communication networks based on Big Data analysis.
Electron. Libr., 2017

Multi-tasking link prediction on coupled networks via the factor graph model.
Proceedings of the IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society, Beijing, China, October 29, 2017

A Community-Aware Approach to Minimizing Dissemination in Graphs.
Proceedings of the Web and Big Data - First International Joint Conference, 2017

Identifying the Academic Rising Stars via Pairwise Citation Increment Ranking.
Proceedings of the Web and Big Data - First International Joint Conference, 2017

2016
Identifying the Academic Rising Stars.
CoRR, 2016

RankMBPR: Rank-Aware Mutual Bayesian Personalized Ranking for Item Recommendation.
Proceedings of the Web-Age Information Management - 17th International Conference, 2016

2015
Multi-linear interactive matrix factorization.
Knowl. Based Syst., 2015

Mutual Feedback Between Epidemic Spreading and Information Diffusion.
CoRR, 2015

Events Determine Spreading Patterns: Information Transmission via Internal and External Influences on Social Networks.
CoRR, 2015

A Novel Approach for Generating Personalized Mention List on Micro-Blogging System.
Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

2014
ILCR: Item-based Latent Factors for Sparse Collaborative Retrieval.
CoRR, 2014

Promoting cold-start items in recommender systems.
CoRR, 2014

Evolution of citation networks with the hypergraph formalism.
CoRR, 2014

Information spreading on dynamic social networks.
Commun. Nonlinear Sci. Numer. Simul., 2014

2013
Information Filtering via Collaborative User Clustering Modeling.
CoRR, 2013

Emergence of Blind Areas in Information Spreading.
CoRR, 2013

Epidemic Spreading on Weighted Complex Networks.
CoRR, 2013

Gravity Effects on Information Filtering and Network Evolving.
CoRR, 2013

2012
Hybrid Recommendation Algorithm Based on Two Roles of Social Tags.
Int. J. Bifurc. Chaos, 2012

An Evolving model of online bipartite networks
CoRR, 2012

2011
Self-organization in social tagging systems
CoRR, 2011

2010
Solving the Cold-Start Problem in Recommender Systems with Social Tags
CoRR, 2010

Hypergraph model of social tagging networks
CoRR, 2010


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