Yu Su

Orcid: 0000-0002-7950-4919

Affiliations:
  • Hefei Normal University, China
  • University of Science and Technology of China, Anhui Province Key Laboratory of Big Data Analysis and Application, Hefei, China
  • IFLYTEK Co., Ltd., Hefei, China
  • Anhui University, School of Computer Science and Technology, Hefei, China (PhD)


According to our database1, Yu Su authored at least 32 papers between 2015 and 2024.

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

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Bibliography

2024
Global and local neural cognitive modeling for student performance prediction.
Expert Syst. Appl., March, 2024

2023
A Probabilistic Framework for Temporal Cognitive Diagnosis in Online Learning Systems.
J. Comput. Sci. Technol., December, 2023

NeuralCD: A General Framework for Cognitive Diagnosis.
IEEE Trans. Knowl. Data Eng., August, 2023

Monitoring Student Progress for Learning Process-Consistent Knowledge Tracing.
IEEE Trans. Knowl. Data Eng., August, 2023

Quiz-based Knowledge Tracing.
CoRR, 2023

PaperLM: A Pre-trained Model for Hierarchical Examination Paper Representation Learning.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022
An Unsupervised Aspect-Aware Recommendation Model with Explanation Text Generation.
ACM Trans. Inf. Syst., 2022

Graph-based cognitive diagnosis for intelligent tutoring systems.
Knowl. Based Syst., 2022

AdaptKT: A Domain Adaptable Method for Knowledge Tracing.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Assessing Student's Dynamic Knowledge State by Exploring the Question Difficulty Effect.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

PST: Measuring Skill Proficiency in Programming Exercise Process via Programming Skill Tracing.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

HierCDF: A Bayesian Network-based Hierarchical Cognitive Diagnosis Framework.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Modeling Offline Knowledge Evolution Effect for Online Knowledge Tracing.
Proceedings of the 34th IEEE International Conference on Tools with Artificial Intelligence, 2022

2021
EKT: Exercise-Aware Knowledge Tracing for Student Performance Prediction.
IEEE Trans. Knowl. Data Eng., 2021

Time-and-Concept Enhanced Deep Multidimensional Item Response Theory for interpretable Knowledge Tracing.
Knowl. Based Syst., 2021

RCD: Relation Map Driven Cognitive Diagnosis for Intelligent Education Systems.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Learning Process-consistent Knowledge Tracing.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

DisenQNet: Disentangled Representation Learning for Educational Questions.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Group-Level Cognitive Diagnosis: A Multi-Task Learning Perspective.
Proceedings of the IEEE International Conference on Data Mining, 2021

Consistency-aware Multi-modal Network for Hierarchical Multi-label Classification in Online Education System.
Proceedings of the 2021 IEEE International Conference on Big Knowledge, 2021

2020
Convolutional Knowledge Tracing: Modeling Individualization in Student Learning Process.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Quality meets Diversity: A Model-Agnostic Framework for Computerized Adaptive Testing.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

2019
QuesNet: A Unified Representation for Heterogeneous Test Questions.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Constructing Educational Concept Maps with Multiple Relationships from Multi-Source Data.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

2018
Fuzzy Cognitive Diagnosis for Modelling Examinee Performance.
ACM Trans. Intell. Syst. Technol., 2018

Finding Similar Exercises in Online Education Systems.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

MT-MCD: A Multi-task Cognitive Diagnosis Framework for Student Assessment.
Proceedings of the Database Systems for Advanced Applications, 2018

Exercise-Enhanced Sequential Modeling for Student Performance Prediction.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Tracking Knowledge Proficiency of Students with Educational Priors.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Question Difficulty Prediction for READING Problems in Standard Tests.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Collaborative Learning Team Formation: A Cognitive Modeling Perspective.
Proceedings of the Database Systems for Advanced Applications, 2016

2015
Cognitive Modelling for Predicting Examinee Performance.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015


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