Lin Li

According to our database, Lin Li authored at least 13 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Unveiling Goods and Bads: A Critical Analysis of Machine Learning Predictions of Standardized Test Performance in Early Childhood Education.

Lin Li, Namrata Srivastava, Jia Rong, Gina Pianta, Raju Varanasi, Dragan Gasevic, Guanliang Chen

Proceedings of the 14th Learning Analytics and Knowledge Conference, 2024

2023

Moral Machines or Tyranny of the Majority? A Systematic Review on Predictive Bias in Education.

Lin Li, Lele Sha, Yuheng Li, Mladen Rakovic, Jia Rong, Srecko Joksimovic, Neil Selwyn, Dragan Gasevic, Guanliang Chen

Proceedings of the LAK 2023: 13th International Learning Analytics and Knowledge Conference, 2023

Generalizable Automatic Short Answer Scoring via Prototypical Neural Network.

Zijie Zeng, Lin Li, Quanlong Guan, Dragan Gasevic, Guanliang Chen

Proceedings of the Artificial Intelligence in Education - 24th International Conference, 2023

2022

Collaborative filtering with implicit feedback via learning pairwise preferences over user-groups and item-sets.

Yongxin Ni, Shan Ouyang, Lin Li, Weike Pan, Zhong Ming

CCF Trans. Pervasive Comput. Interact., 2022

DeepSet: Deep Learning-based Recommendation with Setwise Preference.

Lin Li, Weike Pan, Guanliang Chen, Zhong Ming

Proceedings of the International Joint Conference on Neural Networks, 2022

Popularity Prediction in MOOCs: A Case Study on Udemy.

Lin Li, Zachari Swiecki, Dragan Gasevic, Guanliang Chen

Proceedings of the Artificial Intelligence in Education - 23rd International Conference, 2022

2020

Next-Item Recommendation via Collaborative Filtering with Bidirectional Item Similarity.

Zijie Zeng, Jing Lin, Lin Li, Weike Pan, Zhong Ming

ACM Trans. Inf. Syst., 2020

A Survey on Heterogeneous One-class Collaborative Filtering.

Xiancong Chen, Lin Li, Weike Pan, Zhong Ming

ACM Trans. Inf. Syst., 2020

CoFi-points: Collaborative Filtering via Pointwise Preference Learning on User/Item-Set.

Lin Li, Weike Pan, Zhong Ming

ACM Trans. Intell. Syst. Technol., 2020

Matrix factorization with heterogeneous multiclass preference context.

Jing Lin, Weike Pan, Lin Li, Zixiang Chen, Zhong Ming

Neurocomputing, 2020

2019

Neighborhood-enhanced transfer learning for one-class collaborative filtering.

Wanling Cai, Jiongbin Zheng, Weike Pan, Jing Lin, Lin Li, Li Chen, Xiaogang Peng, Zhong Ming

Neurocomputing, 2019

Asymmetric Bayesian personalized ranking for one-class collaborative filtering.

Shan Ouyang, Lin Li, Weike Pan, Zhong Ming

Proceedings of the 13th ACM Conference on Recommender Systems, 2019

2017

k-CoFi: Modeling k-Granularity Preference Context in Collaborative Filtering.

Yunfeng Huang, Zixiang Chen, Lin Li, Weike Pan, Zhiguang Shan, Zhong Ming

Proceedings of the Smart Computing and Communication, 2017