Jie He - RankMe

18 papers A* 5A 4Journal 8Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Auto-bidding under Return-on-Spend Constraints with Uncertainty Quantification. WWW Jiale Han, Chun Gan, Chengcheng Zhang, Jie He, Zhangang Lin, Ching Law, Xiaowu Dai
2025	J	`jnl`	Auto-bidding under Return-on-Spend Constraints with Uncertainty Quantification. CoRR Jiale Han, Chun Gan, Chengcheng Zhang, Jie He, Zhangang Lin, Ching Law, Xiaowu Dai
2025	—	`conf`	CULC-Net: A Recipe for Tailored Creative Selection in Online Advertising. ECML/PKDD (5) Baosheng Zhang, Liufang Sang, Haoran Wang, Wei Wang, Wenlong Chen, Changping Peng, Zhangang Lin, Jingping Shao, Jie He, Haoqian Wang, Yuchen Guo
2025	A*	`conf`	Graph Isomorphism Network-Based Cohort Modeling In Click-Through Rate Prediction. SIGIR Xuan Ma, Hao Peng, Jia Duan, Zhanhao Ye, Langlang Ye, Zehua Zhang, Jie He, Changping Peng, Zhangang Lin
2024	A	`conf`	JDRec: Practical Actor-Critic Framework for Online Combinatorial Recommender System. AAMAS Xin Zhao, Jiaxin Li, Zhiwei Fang, Yuchen Guo, Jinyuan Zhao, Jie He, Wenlong Chen, Changping Peng, Guiguang Ding
2024	A*	`conf`	Parallel Ranking of Ads and Creatives in Real-Time Advertising Systems. AAAI Zhiguang Yang, Liufang Sang, Haoran Wang, Wenlong Chen, Lu Wang, Jie He, Changping Peng, Zhangang Lin, Chun Gan, Jingping Shao
2023	A	`conf`	An Incremental Update Framework for Online Recommenders with Data-Driven Prior. CIKM 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
2023	J	`jnl`	An Incremental Update Framework for Online Recommenders with Data-Driven Prior. CoRR 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
2023	A	`conf`	BI-GCN: Bilateral Interactive Graph Convolutional Network for Recommendation. CIKM Yinan Zhang, Pei Wang, Congcong Liu, Xiwei Zhao, Hao Qi, Jie He, Junsheng Jin, Changping Peng, Zhangang Lin, Jingping Shao
2023	J	`jnl`	Data Contamination Issues in Brain-to-Text Decoding. CoRR Congchi Yin, Qian Yu, Zhiwei Fang, Jie He, Changping Peng, Zhangang Lin, Jingping Shao, Piji Li
2023	A	`conf`	Dynamic Group Parameter Modeling for Click-Through-Rate Prediction. CIKM Xuan Ma, Jian Wang, Zhiyuan Chen, Zehua Zhang, Jie He, Changping Peng, Zhangang Lin, Jingping Shao
2023	J	`jnl`	Parallel Ranking of Ads and Creatives in Real-Time Advertising Systems. CoRR Zhiguang Yang, Lu Wang, Chun Gan, Liufang Sang, Haoran Wang, Wenlong Chen, Jie He, Changping Peng, Zhangang Lin, Jingping Shao
2022	J	`jnl`	IA-GCN: Interactive Graph Convolutional Network for Recommendation. CoRR Yinan Zhang, Pei Wang, Xiwei Zhao, Hao Qi, Jie He, Junsheng Jin, Changping Peng, Zhangang Lin, Jingping Shao
2022	J	`jnl`	JDRec: Practical Actor-Critic Framework for Online Combinatorial Recommender System. CoRR Xin Zhao, Zhiwei Fang, Yuchen Guo, Jie He, Wenlong Chen, Changping Peng
2019	A*	`conf`	Joint Optimization of Tree-based Index and Deep Model for Recommender Systems. NeurIPS Han Zhu, Daqing Chang, Ziru Xu, Pengye Zhang, Xiang Li, Jie He, Han Li, Jian Xu, Kun Gai
2019	J	`jnl`	Joint Optimization of Tree-based Index and Deep Model for Recommender Systems. CoRR Han Zhu, Daqing Chang, Ziru Xu, Pengye Zhang, Xiang Li, Jie He, Han Li, Jian Xu, Kun Gai
2018	A*	`conf`	Learning Tree-based Deep Model for Recommender Systems. KDD Han Zhu, Xiang Li, Pengye Zhang, Guozheng Li, Jie He, Han Li, Kun Gai
2018	J	`jnl`	Learning Tree-based Deep Model for Recommender Systems. CoRR Han Zhu, Pengye Zhang, Guozheng Li, Jie He, Han Li, Kun Gai