A Keyword-based Scholar Recommendation Framework for Biomedical Literature. - Fen Yang; Jia Zhu 003; Jiaqi Lun; Zetao Zheng; Yong Tang 001; Jian Wu (CSCWD, 2018)

Who Is the Abnormal User: Anomaly Detection Framework based on the Graph Convolutional Networks. - Zetao Zheng; Jia Zhu 003; Yong Tang 001; Jiabing Du (APWeb/WAIM (2), 2019)

Learning from Interpretable Analysis: Attention-Based Knowledge Tracing. - Jia Zhu 003; Weihao Yu 002; Zetao Zheng; Changqin Huang; Yong Tang 001; Gabriel Pui Cheong Fung (AIED (2), 2020)

A semi-supervised model for knowledge graph embedding. - Jia Zhu 003; Zetao Zheng; Min Yang 007; Gabriel Pui Cheong Fung; Yong Tang 001 (Data Min. Knowl. Discov., 2020)

Protein Complexes Detection Based on Semi-Supervised Network Embedding Model. - Jia Zhu 003; Zetao Zheng; Min Yang 007; Gabriel Pui Cheong Fung; Changqin Huang (IEEE ACM Trans. Comput. Biol. Bioinform., 2021)

Deep Reinforcement Learning for Stock Trading with Behavioral Finance Strategy. - Shilong Deng; Zetao Zheng; Hongcai He; Jie Shao 001 (ADMA (2), 2023)

Relational Temporal Graph Convolutional Networks for Ranking-Based Stock Prediction. - Zetao Zheng; Jie Shao 001; Jia Zhu 003; Heng Tao Shen (ICDE, 2023)

What is wrong with deep knowledge tracing? Attention-based knowledge tracing. - Xianqing Wang; Zetao Zheng; Jia Zhu 003; Weihao Yu 002 (Appl. Intell., 2023)

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 001 (AAAI, 2024)

HIT: Solving Partial Index Tracking via Hierarchical Reinforcement Learning. - Zetao Zheng; Jie Shao 001; Feiyu Chen 001; Anjie Zhu; Shilong Deng; Heng Tao Shen (ICDE, 2024)

Cross-Insight Trader: A Trading Approach Integrating Policies with Diverse Investment Horizons for Portfolio Management. - Zetao Zheng; Jie Shao 001; Shilong Deng; Anjie Zhu; Heng Tao Shen; Xiaofang Zhou 001 (ICDE, 2024)

CeKT: Knowledge Tracing for Predicting Collective Performance on Exercise Sequence. - Zetao Zheng; Zhengyang Wu 001; Zahir Tari; Jia Zhu 003; Ke Deng (IEEE Trans. Comput. Soc. Syst., 2024)

Enhancing Online Reinforcement Learning with Meta-Learned Objective from Offline Data. - Shilong Deng; Zetao Zheng; Hongcai He; Paul Weng; Jie Shao 001 (AAAI, 2025)

Personalized Multi-objective Learning Path Recommendation via Hierarchical Reinforcement Learning and Knowledge Tracing. - Yunxuan Lin; Zhengyang Wu 001; Zetao Zheng (ICIC (12), 2025)

A cross-domain knowledge tracing model based on graph optimal transport. - Zhengyang Wu 001; Yuqi Liu; Jianwei Cen; Zetao Zheng; Guandong Xu (World Wide Web (WWW), 2025)

Hands-Free: Action Abstraction With Hierarchical Reinforcement Learning in Text-Based Games. - Anjie Zhu; Hongcai He; Yongjun Yang; Zetao Zheng; Jie Shao 001 (IEEE Trans. Consumer Electron., 2025)

Disentangling Multiplex Spatial-Temporal Transition Graph Representation Learning for Socially Enhanced POI Recommendation. - Jie Li; Haoye Dong; Zhengyang Wu; Zetao Zheng; Mingrong Lin (CoRR, 2025)

MemoryKT: An Integrative Memory-and-Forgetting Method for Knowledge Tracing. - Mingrong Lin; Ke Deng; Zhengyang Wu; Zetao Zheng; Jie Li (CoRR, 2025)