Individual Time Stepping for SPH Fluids. - Liangliang He; Xiaojuan Ban; Xu Liu 020; Xiaokun Wang 001 (Eurographics (Short Papers), 2015)

Rating Personalization Improves Accuracy: A Proportion-Based Baseline Estimate Model for Collaborative Recommendation. - Zhenhua Tan; Liangliang He; Hong Li; Xingwei Wang 001 (CollaborateCom, 2016)

An Efficient Similarity Measure for User-Based Collaborative Filtering Recommender Systems Inspired by the Physical Resonance Principle. - Zhenhua Tan; Liangliang He (IEEE Access, 2017)

LFSF: Latent Factor-Based Similarity Framework and Its Application for Collaborative Recommendation. - Liangliang He; Zhenhua Tan; Guibing Guo; Qiuyun Chang; Danke Wu (PCM (1), 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)

SDP: An Improved Baseline Estimation Model Based On Standard Deviation Proportion. - Zhenhua Tan; Danke Wu; Liangliang He; Qiuyun Chang; Bin Zhang 001 (ICME, 2019)

ADKT: Adaptive Deep Knowledge Tracing. - Liangliang He; Jintao Tang; Xiao Li; Ting Wang 009 (WISE (1), 2020)

EDKT: An Extensible Deep Knowledge Tracing Model for Multiple Learning Factors. - Liangliang He; Xiao Li; Jintao Tang; Ting Wang 009 (DASFAA (1), 2021)

Integrating Performance and Side Factors into Embeddings for Deep Learning-Based Knowledge Tracing. - Liangliang He (ICME, 2021)

Multi-Document Scientific Summarization from a Knowledge Graph-Centric View. - Pancheng Wang; Shasha Li 001; Kunyuan Pang; Liangliang He; Dong Li; Jintao Tang; Ting Wang 009 (COLING, 2022)

Multi-type factors representation learning for deep learning-based knowledge tracing. - Liangliang He; Jintao Tang; Xiao Li; Pancheng Wang; Feng Chen; Ting Wang 009 (World Wide Web, 2022)

Distinguishing Sensitive and Insensitive Options for the Winograd Schema Challenge. - Dong Li; Pancheng Wang; Liangliang He; Kunyuan Pang; Shasha Li 001; Jintao Tang; Ting Wang 009 (DASFAA (3), 2023)

A Systematic Review on Password Guessing Tasks. - Wei Yu 029; Qingsong Yin; Hao Yin; Wei Xiao; Tao Chang; Liangliang He; Lulin Ni; Qingbing Ji (Entropy, 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, 2023)

Integrating fine-grained attention into multi-task learning for knowledge tracing. - Liangliang He; Xiao Li; Pancheng Wang; Jintao Tang; Ting Wang 009 (World Wide Web (WWW), 2023)

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 (CMLDS, 2024)

MAN: Memory-augmented Attentive Networks for Deep Learning-based Knowledge Tracing. - Liangliang He; Xiao Li; Pancheng Wang; Jintao Tang; Ting Wang 009 (ACM Trans. Inf. Syst., 2024)