k-CoFi: Modeling k-Granularity Preference Context in Collaborative Filtering. - Yunfeng Huang; Zixiang Chen; Lin Li 039; Weike Pan; Zhiguang Shan; Zhong Ming 001 (SmartCom, 2017)

Asymmetric Bayesian personalized ranking for one-class collaborative filtering. - Shan Ouyang 004; Lin Li 039; Weike Pan; Zhong Ming 001 (RecSys, 2019)

Neighborhood-enhanced transfer learning for one-class collaborative filtering. - Wanling Cai; Jiongbin Zheng; Weike Pan; Jing Lin 008; Lin Li 039; Li Chen 009; Xiaogang Peng; Zhong Ming 001 (Neurocomputing, 2019)

Matrix factorization with heterogeneous multiclass preference context. - Jing Lin 008; Weike Pan; Lin Li 039; Zixiang Chen; Zhong Ming 001 (Neurocomputing, 2020)

CoFi-points: Collaborative Filtering via Pointwise Preference Learning on User/Item-Set. - Lin Li 039; Weike Pan; Zhong Ming 001 (ACM Trans. Intell. Syst. Technol., 2020)

A Survey on Heterogeneous One-class Collaborative Filtering. - Xiancong Chen; Lin Li 039; Weike Pan; Zhong Ming 001 (ACM Trans. Inf. Syst., 2020)

Next-Item Recommendation via Collaborative Filtering with Bidirectional Item Similarity. - Zijie Zeng; Jing Lin 008; Lin Li 039; Weike Pan; Zhong Ming 001 (ACM Trans. Inf. Syst., 2020)

Popularity Prediction in MOOCs: A Case Study on Udemy. - Lin Li 039; Zachari Swiecki; Dragan Gasevic; Guanliang Chen (AIED (1), 2022)

DeepSet: Deep Learning-based Recommendation with Setwise Preference. - Lin Li 039; Weike Pan; Guanliang Chen; Zhong Ming 001 (IJCNN, 2022)

Collaborative filtering with implicit feedback via learning pairwise preferences over user-groups and item-sets. - Yongxin Ni; Shan Ouyang 004; Lin Li 039; Weike Pan; Zhong Ming 001 (CCF Trans. Pervasive Comput. Interact., 2022)

Generalizable Automatic Short Answer Scoring via Prototypical Neural Network. - Zijie Zeng; Lin Li 039; Quanlong Guan; Dragan Gasevic; Guanliang Chen (AIED, 2023)

Moral Machines or Tyranny of the Majority? A Systematic Review on Predictive Bias in Education. - Lin Li 039; Lele Sha; Yuheng Li; Mladen Rakovic; Jia Rong; Srecko Joksimovic; Neil Selwyn; Dragan Gasevic; Guanliang Chen (LAK, 2023)

Unveiling Goods and Bads: A Critical Analysis of Machine Learning Predictions of Standardized Test Performance in Early Childhood Education. - Lin Li 039; Namrata Srivastava; Jia Rong; Gina Pianta; Raju Varanasi; Dragan Gasevic; Guanliang Chen (LAK, 2024)