Zetao Zheng

According to our database, Zetao Zheng authored at least 16 papers between 2018 and 2025.

Collaborative distances:

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

2025

Hands-Free: Action Abstraction With Hierarchical Reinforcement Learning in Text-Based Games.

Anjie Zhu, Hongcai He, Yongjun Yang, Zetao Zheng, Jie Shao

IEEE Trans. Consumer Electron., May, 2025

A cross-domain knowledge tracing model based on graph optimal transport.

Zhengyang Wu, Yuqi Liu, Jianwei Cen, Zetao Zheng, Guandong Xu

World Wide Web (WWW), January, 2025

Personalized Multi-objective Learning Path Recommendation via Hierarchical Reinforcement Learning and Knowledge Tracing.

Yunxuan Lin, Zhengyang Wu, Zetao Zheng

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2025

Enhancing Online Reinforcement Learning with Meta-Learned Objective from Offline Data.

Shilong Deng, Zetao Zheng, Hongcai He, Paul Weng, Jie Shao

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

CeKT: Knowledge Tracing for Predicting Collective Performance on Exercise Sequence.

Zetao Zheng, Zhengyang Wu, Zahir Tari, Jia Zhu, Ke Deng

IEEE Trans. Comput. Soc. Syst., December, 2024

Cross-Insight Trader: A Trading Approach Integrating Policies with Diverse Investment Horizons for Portfolio Management.

Zetao Zheng, Jie Shao, Shilong Deng, Anjie Zhu, Heng Tao Shen, Xiaofang Zhou

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

HIT: Solving Partial Index Tracking via Hierarchical Reinforcement Learning.

Zetao Zheng, Jie Shao, Feiyu Chen, Anjie Zhu, Shilong Deng, Heng Tao Shen

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Abstract and Explore: A Novel Behavioral Metric with Cyclic Dynamics in Reinforcement Learning.

Anjie Zhu, Peng-Fei Zhang, Ruihong Qiu, Zetao Zheng, Zi Huang, Jie Shao

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

What is wrong with deep knowledge tracing? Attention-based knowledge tracing.

Xianqing Wang, Zetao Zheng, Jia Zhu, Weihao Yu

Appl. Intell., 2023

Relational Temporal Graph Convolutional Networks for Ranking-Based Stock Prediction.

Zetao Zheng, Jie Shao, Jia Zhu, Heng Tao Shen

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Deep Reinforcement Learning for Stock Trading with Behavioral Finance Strategy.

Shilong Deng, Zetao Zheng, Hongcai He, Jie Shao

Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023

2021

Protein Complexes Detection Based on Semi-Supervised Network Embedding Model.

Jia Zhu, Zetao Zheng, Min Yang, Gabriel Pui Cheong Fung, Changqin Huang

IEEE ACM Trans. Comput. Biol. Bioinform., 2021

2020

A semi-supervised model for knowledge graph embedding.

Jia Zhu, Zetao Zheng, Min Yang, Gabriel Pui Cheong Fung, Yong Tang

Data Min. Knowl. Discov., 2020

Learning from Interpretable Analysis: Attention-Based Knowledge Tracing.

Jia Zhu, Weihao Yu, Zetao Zheng, Changqin Huang, Yong Tang, Gabriel Pui Cheong Fung

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.

Zetao Zheng, Jia Zhu, Yong Tang, Jiabing Du

Proceedings of the Web and Big Data - Third International Joint Conference, 2019

2018

A Keyword-based Scholar Recommendation Framework for Biomedical Literature.

Fen Yang, Jia Zhu, Jiaqi Lun, Zetao Zheng, Yong Tang, Jian Wu

Proceedings of the 22nd IEEE International Conference on Computer Supported Cooperative Work in Design, 2018