Jin Li

Orcid: 0000-0002-0260-3169

Affiliations:
  • Xi'an Jiaotong University, School of Electronic and Information Engineering, China


According to our database1, Jin Li authored at least 14 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Article 
PhD thesis 
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Bibliography

2024
Quantification and prediction of engagement: Applied to personalized course recommendation to reduce dropout in MOOCs.
Inf. Process. Manag., January, 2024

2023
ICD: A new interpretable cognitive diagnosis model for intelligent tutor systems.
Expert Syst. Appl., April, 2023

Predicting Dropouts Before Enrollments in MOOCs: An Explainable and Self-Supervised Model.
IEEE Trans. Serv. Comput., 2023

2022
Generalized Zero-Shot Learning Via Multi-Modal Aggregated Posterior Aligning Neural Network.
IEEE Trans. Multim., 2022

A novel quantitative relationship neural network for explainable cognitive diagnosis model.
Knowl. Based Syst., 2022

2021
A Real-Time Robotic Grasping Approach With Oriented Anchor Box.
IEEE Trans. Syst. Man Cybern. Syst., 2021

2020
A Joint Label Space for Generalized Zero-Shot Classification.
IEEE Trans. Image Process., 2020

2019
Compressing Unknown Images With Product Quantizer for Efficient Zero-Shot Classification.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
A Real-time Robotic Grasp Approach with Oriented Anchor Box.
CoRR, 2018

Zero Shot Learning via Low-rank Embedded Semantic AutoEncoder.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

2017
Online Variable Coding Length Product Quantization for Fast Nearest Neighbor Search in Mobile Retrieval.
IEEE Trans. Multim., 2017

Fast additive quantization for vector compression in nearest neighbor search.
Multim. Tools Appl., 2017

Iteratively Multiple Projections Optimization for Product Quantization in Nearest Neighbor Search.
Proceedings of the IEEE International Conference on Big Knowledge, 2017

2013
An Integrated Model for Bayesian Learning of Sparse Representation and Classifier Training.
Proceedings of the Advances in Multimedia Information Processing - PCM 2013, 2013


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