Modeling reaction time within a traffic simulation model. - Kakali Basak; Seth N. Hetu; Zhemin Li; Carlos Lima Azevedo; Harish Loganathan; Tomer Toledo; Runmin Xu; Yan Xu; Li-Shiuan Peh; Moshe E. Ben-Akiva (ITSC, 2013)

The design of an intelligent food consumption data collection and analysis system. - Jiayu Zhuang; Yongen Zhang; Zhemin Li; Wei Chen; Jiajia Liu; Heng Zhang (CITS, 2016)

A Study of Tag-Based Recipe Recommendations for Users in Different Age Groups. - Wei Chen 042; Zhemin Li (SETE@ICWL, 2016)

Agent-Based Simulation for Agricultural Learning Resource Recommendation Based on Geographical Similarities. - Wei Chen 042; Zhemin Li (SETE@ICWL, 2016)

Farmland Weed Species Identification Based on Computer Vision. - Shengping Liu; Junchan Wang; Liu Tao; Zhemin Li; Chengming Sun; Xiaochun Zhong (CCTA (1), 2017)

Growth and Spectral Characteristics of Grassland in Response to Different Soil Textures. - Xiaochun Zhong; Junchan Wang; Liu Tao; Chengming Sun; Zhemin Li; Shengping Liu (CCTA (2), 2017)

Personalized topic modeling for recommending user-generated content. - Wei Zhang; Jiayu Zhuang; Xi Yong; Jiankou Li; Wei Chen; Zhemin Li (Frontiers Inf. Technol. Electron. Eng., 2017)

Exploring the Significant Predictors to the Quality of Master's Dissertations. - Zhemin Li; Yanwu Li; Zheng Xie (IEEE Access, 2020)

Resistance distance-based graph invariants and spanning trees of graphs derived from the strong prism of a star. - Zhemin Li; Zheng Xie; Jianping Li; Yingui Pan (Appl. Math. Comput., 2020)

A regularized deep matrix factorized model of matrix completion for image restoration. - Zhemin Li; Zhi-Qin John Xu; Tao Luo 012; Hongxia Wang (CoRR, 2020)

Assessing and predicting the quality of research master's theses: an application of scientometrics. - Zheng Xie; Yanwu Li; Zhemin Li (Scientometrics, 2020)

AIR-Net: Adaptive and Implicit Regularization Neural Network for Matrix Completion. - Zhemin Li; Hongxia Wang (CoRR, 2021)

A regularised deep matrix factorised model of matrix completion for image restoration. - Zhemin Li; Zhi-Qin John Xu; Tao Luo 012; Hongxia Wang (IET Image Process., 2022)

Adaptive and Implicit Regularization for Matrix Completion. - Zhemin Li; Tao Sun 005; Hongxia Wang; Bao Wang 001 (SIAM J. Imaging Sci., 2022)

Regularize implicit neural representation by itself. - Zhemin Li; Hongxia Wang; Deyu Meng (CVPR, 2023)

A modified LSTM network to predict the citation counts of papers. - Wumei Du; Zhemin Li; Zheng Xie (J. Inf. Sci., 2024)

Low-Rank Tensor Function Representation for Multi-Dimensional Data Recovery. - Yisi Luo; Xile Zhao; Zhemin Li; Michael K. Ng 001; Deyu Meng (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

A compact autonomous inspection system for greenhouse environmental information sensing and three-dimensional visualization. - Rui Yan; Xiangnan He 001; Zhen Wang; Yuting Wang; Zhemin Li; Xian Li (Comput. Electron. Agric., 2025)

LLM-guided decision-making toolkit for multi-agent reinforcement learning. - Zhemin Li; Ruobing Zhang; Zhengming Wang; Zheng Xie; Yiping Song (Neurocomputing, 2025)