Liangliang He

18 papers A 2B 1C 1Journal 8Unranked 6
YearRankTypeTitle / Venue / Authors
2024 J jnl
MAN: Memory-augmented Attentive Networks for Deep Learning-based Knowledge Tracing.
ACM Trans. Inf. Syst.
Liangliang He, Xiao Li, Pancheng Wang, Jintao Tang, Ting Wang
2024 — conf
Multi-objective Optimization of Stereoscopic Shelf Space Allocation Based on Adaptive Non-repetitive Genetic Algorithm.
CMLDS
Liangliang He, Xiutang Geng, Peng Zhang, Longqiang Ni, Chenguang Li, Kun Wang
2023 J jnl
A Systematic Review on Password Guessing Tasks.
Entropy
Wei Yu, Qingsong Yin, Hao Yin, Wei Xiao, Tao Chang, Liangliang He, Lulin Ni, Qingbing Ji
2023 — conf
Distinguishing Sensitive and Insensitive Options for the Winograd Schema Challenge.
DASFAA (3)
Dong Li, Pancheng Wang, Liangliang He, Kunyuan Pang, Shasha Li, Jintao Tang, Ting Wang
2023 J jnl
Integrating fine-grained attention into multi-task learning for knowledge tracing.
World Wide Web (WWW)
Liangliang He, Xiao Li, Pancheng Wang, Jintao Tang, Ting Wang
2023 J jnl
Performance and exploration of ChatGPT in medical examination, records and education in Chinese: Pave the way for medical AI.
Int. J. Medical Informatics
Hongyan Wang, WeiZhen Wu, Zhi Dou, Liangliang He, Liqiang Yang
2022 B conf
Multi-Document Scientific Summarization from a Knowledge Graph-Centric View.
COLING
Pancheng Wang, Shasha Li, Kunyuan Pang, Liangliang He, Dong Li, Jintao Tang, Ting Wang
2022 J jnl
Multi-Document Scientific Summarization from a Knowledge Graph-Centric View.
CoRR
Pancheng Wang, Shasha Li, Kunyuan Pang, Liangliang He, Dong Li, Jintao Tang, Ting Wang
2022 J jnl
Multi-type factors representation learning for deep learning-based knowledge tracing.
World Wide Web
Liangliang He, Jintao Tang, Xiao Li, Pancheng Wang, Feng Chen, Ting Wang
2021 — conf
EDKT: An Extensible Deep Knowledge Tracing Model for Multiple Learning Factors.
DASFAA (1)
Liangliang He, Xiao Li, Jintao Tang, Ting Wang
2021 A conf
Integrating Performance and Side Factors into Embeddings for Deep Learning-Based Knowledge Tracing.
ICME
Liangliang He
2020 — conf
ADKT: Adaptive Deep Knowledge Tracing.
WISE (1)
Liangliang He, Jintao Tang, Xiao Li, Ting Wang
2019 A conf
SDP: An Improved Baseline Estimation Model Based On Standard Deviation Proportion.
ICME
Zhenhua Tan, Danke Wu, Liangliang He, Qiuyun Chang, Bin Zhang
2018 J jnl
Adaptively stepped SPH for fluid animation based on asynchronous time integration.
Neural Comput. Appl.
Xiaojuan Ban, Xiaokun Wang, Liangliang He, Yalan Zhang, Lipeng Wang
2018 — conf
LFSF: Latent Factor-Based Similarity Framework and Its Application for Collaborative Recommendation.
PCM (1)
Liangliang He, Zhenhua Tan, Guibing Guo, Qiuyun Chang, Danke Wu
2017 J jnl
An Efficient Similarity Measure for User-Based Collaborative Filtering Recommender Systems Inspired by the Physical Resonance Principle.
IEEE Access
Zhenhua Tan, Liangliang He
2016 C conf
Rating Personalization Improves Accuracy: A Proportion-Based Baseline Estimate Model for Collaborative Recommendation.
CollaborateCom
Zhenhua Tan, Liangliang He, Hong Li, Xingwei Wang
2015 — conf
Individual Time Stepping for SPH Fluids.
Eurographics (Short Papers)
Liangliang He, Xiaojuan Ban, Xu Liu, Xiaokun Wang