Chengai Sun

Orcid: 0000-0002-8654-3481

According to our database1, Chengai Sun authored at least 19 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
TIAE-DSIN: A time interval aware deep session interest network for click-through rate prediction.
Expert Syst. Appl., 2024

Normalized auto-encoder based on biased walk for network representation learning.
Eng. Appl. Artif. Intell., 2024

2023
PC-IEN: a click-through rate prediction method based on dynamic collaborative personalized interest extraction.
Artif. Intell. Rev., October, 2023

2022
Online dynamic rumour propagation model considering punishment mechanism and individual personality characteristics.
J. Complex Networks, June, 2022

RLIM: representation learning method for influence maximization in social networks.
Int. J. Mach. Learn. Cybern., 2022

ICE-DEN: A click-through rate prediction method based on interest contribution extraction of dynamic attention intensity.
Knowl. Based Syst., 2022

TSPS: A Topic based Shortest Path Set algorithm for influence maximization.
Intell. Data Anal., 2022

A joint model based on interactive gate mechanism for spoken language understanding.
Appl. Intell., 2022

An influence maximization algorithm based on low-dimensional representation learning.
Appl. Intell., 2022

Multi-hop analysis method for rich-club phenomenon of influence maximization in social networks.
Appl. Intell., 2022

2021
Deep Interactive Memory Network for Aspect-Level Sentiment Analysis.
ACM Trans. Asian Low Resour. Lang. Inf. Process., 2021

Spectator-filter-spreader-stifler information propagation model with wake-up mechanism in social networks.
Concurr. Comput. Pract. Exp., 2021

HCT: A Hybrid Algorithm for Influence Maximization Problem Based on Community Detection and TOPSIS.
Proceedings of the 2021 International Symposium on Computer Science and Intelligent Control, 2021

2020
Scalable influence maximization based on influential seed successors.
Soft Comput., 2020

2018
Tagging augmented neural topic model for semantic sparse Web service discovery.
Concurr. Comput. Pract. Exp., 2018

2017
Integrating implicit feedbacks for time-aware web service recommendations.
Inf. Syst. Frontiers, 2017

Model Construction and Data Management of Running Log in Supporting SaaS Software Performance Analysis.
Proceedings of the 29th International Conference on Software Engineering and Knowledge Engineering, 2017

2016
Transferring auxiliary knowledge to enhance heterogeneous web service clustering.
Int. J. High Perform. Comput. Netw., 2016

2014
Time-Aware Web Service Recommendations Using Implicit Feedback.
Proceedings of the 2014 IEEE International Conference on Web Services, 2014


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