Liangliang He

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

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

MAN: Memory-augmented Attentive Networks for Deep Learning-based Knowledge Tracing.

Liangliang He, Xiao Li, Pancheng Wang, Jintao Tang, Ting Wang

ACM Trans. Inf. Syst., January, 2024

Multi-objective Optimization of Stereoscopic Shelf Space Allocation Based on Adaptive Non-repetitive Genetic Algorithm.

Liangliang He, Xiutang Geng, Peng Zhang, Longqiang Ni, Chenguang Li, Kun Wang

Proceedings of the International Conference on Computing, 2024

2023

Integrating fine-grained attention into multi-task learning for knowledge tracing.

Liangliang He, Xiao Li, Pancheng Wang, Jintao Tang, Ting Wang

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.

Hongyan Wang, WeiZhen Wu, Zhi Dou, Liangliang He, Liqiang Yang

Int. J. Medical Informatics, September, 2023

A Systematic Review on Password Guessing Tasks.

Wei Yu, Qingsong Yin, Hao Yin, Wei Xiao, Tao Chang, Liangliang He, Lulin Ni, Qingbing Ji

Entropy, September, 2023

Distinguishing Sensitive and Insensitive Options for the Winograd Schema Challenge.

Dong Li, Pancheng Wang, Liangliang He, Kunyuan Pang, Shasha Li, Jintao Tang, Ting Wang

Proceedings of the Database Systems for Advanced Applications, 2023

2022

Multi-type factors representation learning for deep learning-based knowledge tracing.

Liangliang He, Jintao Tang, Xiao Li, Pancheng Wang, Feng Chen, Ting Wang

World Wide Web, 2022

Multi-Document Scientific Summarization from a Knowledge Graph-Centric View.

Pancheng Wang, Shasha Li, Kunyuan Pang, Liangliang He, Dong Li, Jintao Tang, Ting Wang

Proceedings of the 29th International Conference on Computational Linguistics, 2022

2021

Integrating Performance and Side Factors into Embeddings for Deep Learning-Based Knowledge Tracing.

Liangliang He

Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

EDKT: An Extensible Deep Knowledge Tracing Model for Multiple Learning Factors.

Liangliang He, Xiao Li, Jintao Tang, Ting Wang

Proceedings of the Database Systems for Advanced Applications, 2021

2020

ADKT: Adaptive Deep Knowledge Tracing.

Liangliang He, Jintao Tang, Xiao Li, Ting Wang

Proceedings of the Web Information Systems Engineering - WISE 2020, 2020

2019

SDP: An Improved Baseline Estimation Model Based On Standard Deviation Proportion.

Zhenhua Tan, Danke Wu, Liangliang He, Qiuyun Chang, Bin Zhang

Proceedings of the IEEE International Conference on Multimedia and Expo, 2019

2018

Adaptively stepped SPH for fluid animation based on asynchronous time integration.

Xiaojuan Ban, Xiaokun Wang, Liangliang He, Yalan Zhang, LiPeng Wang

Neural Comput. Appl., 2018

LFSF: Latent Factor-Based Similarity Framework and Its Application for Collaborative Recommendation.

Liangliang He, Zhenhua Tan, Guibing Guo, Qiuyun Chang, Danke Wu

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.

Zhenhua Tan, Liangliang He

IEEE Access, 2017

2016

Rating Personalization Improves Accuracy: A Proportion-Based Baseline Estimate Model for Collaborative Recommendation.

Zhenhua Tan, Liangliang He, Hong Li, Xingwei Wang

Proceedings of the Collaborate Computing: Networking, Applications and Worksharing, 2016

2015

Individual Time Stepping for SPH Fluids.

Liangliang He, Xiaojuan Ban, Xu Liu, Xiaokun Wang

Proceedings of the 36th Annual Conference of the European Association for Computer Graphics, 2015