Siqian Zhao

Orcid: 0009-0008-3913-7836

According to our database1, Siqian Zhao authored at least 16 papers between 2015 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
MoMENt: Marked Point Processes with Memory-Enhanced Neural Networks for User Activity Modeling.
ACM Trans. Knowl. Discov. Data, July, 2024

Towards Multi-Objective Behavior and Knowledge Modeling in Students.
Proceedings of the Adjunct Proceedings of the 32nd ACM Conference on User Modeling, 2024

Discerning Canonical User Representation for Cross-Domain Recommendation.
Proceedings of the 18th ACM Conference on Recommender Systems, 2024

Exploring Simultaneous Knowledge and Behavior Tracing.
Proceedings of the 17th International Conference on Educational Data Mining, 2024

Multi-Task Modeling of Student Knowledge and Behavior.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023
Curb Your Procrastination: A Study of Academic Procrastination Behaviors vs. A Planning and Time Management App.
Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization, 2023

Graph-Enhanced Multi-Activity Knowledge Tracing.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track, 2023

2022
Transition-Aware Multi-Activity Knowledge Tracing.
Proceedings of the IEEE International Conference on Big Data, 2022

2021
Relaxed Clustered Hawkes Process for Procrastination Modeling in MOOCs.
CoRR, 2021

Stimuli-Sensitive Hawkes Processes for Personalized Student Procrastination Modeling.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Knowledge Tracing for Complex Problem Solving: Granular Rank-Based Tensor Factorization.
Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization, 2021

Learning from Non-Assessed Resources: Deep Multi-Type Knowledge Tracing.
Proceedings of the 14th International Conference on Educational Data Mining, 2021

Temporal Processes Associating with Procrastination Dynamics.
Proceedings of the Artificial Intelligence in Education - 22nd International Conference, 2021

Relaxed Clustered Hawkes Process for Student Procrastination Modeling in MOOCs.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Modeling Knowledge Acquisition from Multiple Learning Resource Types.
Proceedings of the 13th International Conference on Educational Data Mining, 2020

2015
Improving Security in Optical Networks with Random Forwarding and Parallel Transmission.
Proceedings of the 2015 IEEE Global Communications Conference, 2015


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