Jie He

According to our database, Jie He authored at least 7 papers between 2018 and 2023.

Collaborative distances:

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

2023

Data Contamination Issues in Brain-to-Text Decoding.

Congchi Yin, Qian Yu, Zhiwei Fang, Jie He, Changping Peng, Zhangang Lin, Jingping Shao, Piji Li

CoRR, 2023

BI-GCN: Bilateral Interactive Graph Convolutional Network for Recommendation.

Yinan Zhang, Pei Wang, Congcong Liu, Xiwei Zhao, Hao Qi, Jie He, Junsheng Jin, Changping Peng, Zhangang Lin, Jingping Shao

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Dynamic Group Parameter Modeling for Click-Through-Rate Prediction.

Xuan Ma, Jian Wang, Zhiyuan Chen, Zehua Zhang, Jie He, Changping Peng, Zhangang Lin, Jingping Shao

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

An Incremental Update Framework for Online Recommenders with Data-Driven Prior.

Chen Yang, Jin Chen, Qian Yu, Xiangdong Wu, Kui Ma, Zihao Zhao, Zhiwei Fang, Wenlong Chen, Chaosheng Fan, Jie He, Changping Peng, Zhangang Lin, Jingping Shao

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

JDRec: Practical Actor-Critic Framework for Online Combinatorial Recommender System.

Xin Zhao, Zhiwei Fang, Yuchen Guo, Jie He, Wenlong Chen, Changping Peng

CoRR, 2022

IA-GCN: Interactive Graph Convolutional Network for Recommendation.

Yinan Zhang, Pei Wang, Xiwei Zhao, Hao Qi, Jie He, Junsheng Jin, Changping Peng, Zhangang Lin, Jingping Shao

CoRR, 2022

2018

Learning Tree-based Deep Model for Recommender Systems.

Han Zhu, Xiang Li, Pengye Zhang, Guozheng Li, Jie He, Han Li, Kun Gai

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018