Liangliang He

Orcid: 0000-0002-3554-912X

According to our database1, Liangliang He authored at least 17 papers between 2015 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
MAN: Memory-augmented Attentive Networks for Deep Learning-based Knowledge Tracing.
ACM Trans. Inf. Syst., January, 2024

Multi-objective Optimization of Stereoscopic Shelf Space Allocation Based on Adaptive Non-repetitive Genetic Algorithm.
Proceedings of the International Conference on Computing, 2024

2023
Integrating fine-grained attention into multi-task learning for knowledge tracing.
World Wide Web (WWW), September, 2023

Performance and exploration of ChatGPT in medical examination, records and education in Chinese: Pave the way for medical AI.
Int. J. Medical Informatics, September, 2023

A Systematic Review on Password Guessing Tasks.
Entropy, September, 2023

Distinguishing Sensitive and Insensitive Options for the Winograd Schema Challenge.
Proceedings of the Database Systems for Advanced Applications, 2023

2022
Multi-type factors representation learning for deep learning-based knowledge tracing.
World Wide Web, 2022

Multi-Document Scientific Summarization from a Knowledge Graph-Centric View.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

2021
Integrating Performance and Side Factors into Embeddings for Deep Learning-Based Knowledge Tracing.
Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

EDKT: An Extensible Deep Knowledge Tracing Model for Multiple Learning Factors.
Proceedings of the Database Systems for Advanced Applications, 2021

2020
ADKT: Adaptive Deep Knowledge Tracing.
Proceedings of the Web Information Systems Engineering - WISE 2020, 2020

2019
SDP: An Improved Baseline Estimation Model Based On Standard Deviation Proportion.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2019

2018
Adaptively stepped SPH for fluid animation based on asynchronous time integration.
Neural Comput. Appl., 2018

LFSF: Latent Factor-Based Similarity Framework and Its Application for Collaborative Recommendation.
Proceedings of the Advances in Multimedia Information Processing - PCM 2018, 2018

2017
An Efficient Similarity Measure for User-Based Collaborative Filtering Recommender Systems Inspired by the Physical Resonance Principle.
IEEE Access, 2017

2016
Rating Personalization Improves Accuracy: A Proportion-Based Baseline Estimate Model for Collaborative Recommendation.
Proceedings of the Collaborate Computing: Networking, Applications and Worksharing, 2016

2015
Individual Time Stepping for SPH Fluids.
Proceedings of the 36th Annual Conference of the European Association for Computer Graphics, 2015


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