Jie He

According to our database, Jie He authored at least 15 papers between 2018 and 2026.

Collaborative distances:

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

2026

JD-BP: A Joint-Decision Generative Framework for Auto-Bidding and Pricing.

Linghui Meng, Chun Gan, Shengsheng Niu, Chengcheng Zhang, Chenchen Li, Chuan Yang, Yi Mao, Xin Zhu, Jie He, Zhangang Lin, Ching Law

CoRR, April, 2026

Auto-bidding under Return-on-Spend Constraints with Uncertainty Quantification.

Jiale Han, Chun Gan, Chengcheng Zhang, Jie He, Zhangang Lin, Ching Law, Xiaowu Dai

Proceedings of the ACM Web Conference 2026, 2026

2025

Graph Isomorphism Network-Based Cohort Modeling In Click-Through Rate Prediction.

Xuan Ma, Hao Peng, Jia Duan, Zhanhao Ye, Langlang Ye, Zehua Zhang, Jie He, Changping Peng, Zhangang Lin

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

CULC-Net: A Recipe for Tailored Creative Selection in Online Advertising.

Baosheng Zhang, Liufang Sang, Haoran Wang, Wei Wang, Wenlong Chen, Changping Peng, Zhangang Lin, Jingping Shao, Jie He, Haoqian Wang, Yuchen Guo

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2025

2024

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

Xin Zhao, Jiaxin Li, Zhiwei Fang, Yuchen Guo, Jinyuan Zhao, Jie He, Wenlong Chen, Changping Peng, Guiguang Ding

Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

Parallel Ranking of Ads and Creatives in Real-Time Advertising Systems.

Zhiguang Yang, Liufang Sang, Haoran Wang, Wenlong Chen, Lu Wang, Jie He, Changping Peng, Zhangang Lin, Chun Gan, Jingping Shao

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

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

2019

Joint Optimization of Tree-based Index and Deep Model for Recommender Systems.

Han Zhu, Daqing Chang, Ziru Xu, Pengye Zhang, Xiang Li, Jie He, Han Li, Jian Xu, Kun Gai

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018

Learning Tree-based Deep Model for Recommender Systems.

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

CoRR, 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