Liangliang He

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 18

Top Topics

Standard Deviation

Pareto Dominance

Scientific Knowledge

Top Venues

Publications

Liangliang He, Xiutang Geng, Peng Zhang, Longqiang Ni, Chenguang Li, Kun Wang
Multi-objective Optimization of Stereoscopic Shelf Space Allocation Based on Adaptive Non-repetitive Genetic Algorithm. CMLDS (2024)
Liangliang He, Xiao Li, Pancheng Wang, Jintao Tang, Ting Wang
MAN: Memory-augmented Attentive Networks for Deep Learning-based Knowledge Tracing. ACM Trans. Inf. Syst. 42 (1) (2024)
Dong Li, Pancheng Wang, Liangliang He, Kunyuan Pang, Shasha Li, Jintao Tang, Ting Wang
Distinguishing Sensitive and Insensitive Options for the Winograd Schema Challenge. DASFAA (3) (2023)
Liangliang He, Xiao Li, Pancheng Wang, Jintao Tang, Ting Wang
Integrating fine-grained attention into multi-task learning for knowledge tracing. World Wide Web (WWW) 26 (5) (2023)
Wei Yu, Qingsong Yin, Hao Yin, Wei Xiao, Tao Chang, Liangliang He, Lulin Ni, Qingbing Ji
A Systematic Review on Password Guessing Tasks. Entropy 25 (9) (2023)
Hongyan Wang, WeiZhen Wu, Zhi Dou, Liangliang He, Liqiang Yang
Performance and exploration of ChatGPT in medical examination, records and education in Chinese: Pave the way for medical AI. Int. J. Medical Informatics 177 (2023)
Liangliang He, Jintao Tang, Xiao Li, Pancheng Wang, Feng Chen, Ting Wang
Multi-type factors representation learning for deep learning-based knowledge tracing. World Wide Web 25 (3) (2022)
Pancheng Wang, Shasha Li, Kunyuan Pang, Liangliang He, Dong Li, Jintao Tang, Ting Wang
Multi-Document Scientific Summarization from a Knowledge Graph-Centric View. COLING (2022)
Pancheng Wang, Shasha Li, Kunyuan Pang, Liangliang He, Dong Li, Jintao Tang, Ting Wang
Multi-Document Scientific Summarization from a Knowledge Graph-Centric View. CoRR (2022)
Liangliang He, Xiao Li, Jintao Tang, Ting Wang
EDKT: An Extensible Deep Knowledge Tracing Model for Multiple Learning Factors. DASFAA (1) (2021)
Liangliang He
Integrating Performance and Side Factors into Embeddings for Deep Learning-Based Knowledge Tracing. ICME (2021)
Liangliang He, Jintao Tang, Xiao Li, Ting Wang
ADKT: Adaptive Deep Knowledge Tracing. WISE (1) (2020)
Zhenhua Tan, Danke Wu, Liangliang He, Qiuyun Chang, Bin Zhang
SDP: An Improved Baseline Estimation Model Based On Standard Deviation Proportion. ICME (2019)
Xiaojuan Ban, Xiaokun Wang, Liangliang He, Yalan Zhang, LiPeng Wang
Adaptively stepped SPH for fluid animation based on asynchronous time integration. Neural Comput. Appl. 29 (1) (2018)
Liangliang He, Zhenhua Tan, Guibing Guo, Qiuyun Chang, Danke Wu
LFSF: Latent Factor-Based Similarity Framework and Its Application for Collaborative Recommendation. PCM (1) (2018)
Zhenhua Tan, Liangliang He
An Efficient Similarity Measure for User-Based Collaborative Filtering Recommender Systems Inspired by the Physical Resonance Principle. IEEE Access 5 (2017)
Zhenhua Tan, Liangliang He, Hong Li, Xingwei Wang
Rating Personalization Improves Accuracy: A Proportion-Based Baseline Estimate Model for Collaborative Recommendation. CollaborateCom (2016)
Liangliang He, Xiaojuan Ban, Xu Liu, Xiaokun Wang
Individual Time Stepping for SPH Fluids. Eurographics (Short Papers) (2015)