Zetao Zheng

Orcid: 0000-0002-7801-0378

According to our database1, Zetao Zheng authored at least 20 papers between 2018 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
DisenKT: A variational attention-based approach for disentangled cross-domain knowledge tracing.
Inf. Process. Manag., 2026

Causal deconfounding via multiplex spatial-temporal confounder disentanglement for next POI recommendation.
Inf. Process. Manag., 2026

Improving Generalization in Offline Meta-Reinforcement Learning via Cross-task Contexts.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
MemoryKT: An Integrative Memory-and-Forgetting Method for Knowledge Tracing.
CoRR, August, 2025

Hands-Free: Action Abstraction With Hierarchical Reinforcement Learning in Text-Based Games.
IEEE Trans. Consumer Electron., May, 2025

A cross-domain knowledge tracing model based on graph optimal transport.
World Wide Web (WWW), January, 2025

Personalized Multi-objective Learning Path Recommendation via Hierarchical Reinforcement Learning and Knowledge Tracing.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2025

Enhancing Online Reinforcement Learning with Meta-Learned Objective from Offline Data.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024
CeKT: Knowledge Tracing for Predicting Collective Performance on Exercise Sequence.
IEEE Trans. Comput. Soc. Syst., December, 2024

Cross-Insight Trader: A Trading Approach Integrating Policies with Diverse Investment Horizons for Portfolio Management.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

HIT: Solving Partial Index Tracking via Hierarchical Reinforcement Learning.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Abstract and Explore: A Novel Behavioral Metric with Cyclic Dynamics in Reinforcement Learning.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
What is wrong with deep knowledge tracing? Attention-based knowledge tracing.
Appl. Intell., 2023

Relational Temporal Graph Convolutional Networks for Ranking-Based Stock Prediction.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Deep Reinforcement Learning for Stock Trading with Behavioral Finance Strategy.
Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023

2021
Protein Complexes Detection Based on Semi-Supervised Network Embedding Model.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021

2020
A semi-supervised model for knowledge graph embedding.
Data Min. Knowl. Discov., 2020

Learning from Interpretable Analysis: Attention-Based Knowledge Tracing.
Proceedings of the Artificial Intelligence in Education - 21st International Conference, 2020

2019
Who Is the Abnormal User: Anomaly Detection Framework based on the Graph Convolutional Networks.
Proceedings of the Web and Big Data - Third International Joint Conference, 2019

2018
A Keyword-based Scholar Recommendation Framework for Biomedical Literature.
Proceedings of the 22nd IEEE International Conference on Computer Supported Cooperative Work in Design, 2018


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