Jinkai Yu

According to our database, Jinkai Yu authored at least 11 papers between 2018 and 2026.

Collaborative distances:

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

2026

QARM V2: Quantitative Alignment Multi-Modal Recommendation for Reasoning User Sequence Modeling.

Tian Xia, Jiaqi Zhang, Yueyang Liu, Hongjian Dou, Tingya Yin, Jiangxia Cao, Xulei Liang, Tianlu Xie, Lihao Liu, Xiang Chen, Shen Wang, Changxin Lao, Haixiang Gan, Jinkai Yu, Keting Cen, Lu Hao, Xu Zhang, Qiqiang Zhong, Zhongbo Sun, Yiyu Wang, Shuang Yang, Mingxin Wen, Xiangyu Wu, Shaoguo Liu, Tingting Gao, Zhaojie Liu, Han Li, Kun Gai

CoRR, February, 2026

OneMall: One Architecture, More Scenarios - End-to-End Generative Recommender Family at Kuaishou E-Commerce.

Kun Zhang, Jingming Zhang, Wei Cheng, Yansong Cheng, Jiaqi Zhang, Hao Lu, Xu Zhang, Haixiang Gan, Jiangxia Cao, Tenglong Wang, Ximing Zhang, Boyang Xia, Kuo Cai, Shiyao Wang, Hongjian Dou, Jinkai Yu, Mingxing Wen, Qiang Luo, Dongxu Liang, Chenyi Lei, Jun Wang, Runan Liu, Zhaojie Liu, Ruiming Tang, Tingting Gao, Shaoguo Liu, Yuqing Ding, Hui Kong, Han Li, Guorui Zhou, Wenwu Ou, Kun Gai

CoRR, January, 2026

2025

QARM: Quantitative Alignment Multi-Modal Recommendation at Kuaishou.

Xinchen Luo, Jiangxia Cao, Tianyu Sun, Jinkai Yu, Rui Huang, Wei Yuan, Hezheng Lin, Yichen Zheng, Shiyao Wang, Qigen Hu, Changqing Qiu, Jiaqi Zhang, Xu Zhang, Zhiheng Yan, Jingming Zhang, Simin Zhang, Mingxing Wen, Zhaojie Liu, Guorui Zhou

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

2024

QARM: Quantitative Alignment Multi-Modal Recommendation at Kuaishou.

Xinchen Luo, Jiangxia Cao, Tianyu Sun, Jinkai Yu, Rui Huang, Wei Yuan, Hezheng Lin, Yichen Zheng, Shiyao Wang, Qigen Hu, Changqing Qiu, Jiaqi Zhang, Xu Zhang, Zhiheng Yan, Jingming Zhang, Simin Zhang, Mingxing Wen, Zhaojie Liu, Kun Gai, Guorui Zhou

CoRR, 2024

End-to-end training of Multimodal Model and ranking Model.

Xiuqi Deng, Lu Xu, Xiyao Li, Jinkai Yu, Erpeng Xue, Zhongyuan Wang, Di Zhang, Zhaojie Liu, Guorui Zhou, Yang Song, Na Mou, Shen Jiang, Han Li

CoRR, 2024

2023

APTSHIELD: A Stable, Efficient and Real-Time APT Detection System for Linux Hosts.

Tiantian Zhu, Jinkai Yu, Chunlin Xiong, Wenrui Cheng, Qixuan Yuan, Jie Ying, Tieming Chen, Jiabo Zhang, Mingqi Lv, Yan Chen, Ting Wang, Yuan Fan

IEEE Trans. Dependable Secur. Comput., 2023

2021

General, Efficient, and Real-Time Data Compaction Strategy for APT Forensic Analysis.

Tiantian Zhu, Jiayu Wang, Linqi Ruan, Chunlin Xiong, Jinkai Yu, Yaosheng Li, Yan Chen, Mingqi Lv, Tieming Chen

IEEE Trans. Inf. Forensics Secur., 2021

APTSHIELD: A Stable, Efficient and Real-time APT Detection System for Linux Hosts.

Tiantian Zhu, Jinkai Yu, Tieming Chen, Jiayu Wang, Jie Ying, Ye Tian, Mingqi Lv, Yan Chen, Yuan Fan, Ting Wang

CoRR, 2021

2019

Feature Generation by Convolutional Neural Network for Click-Through Rate Prediction.

Bin Liu, Ruiming Tang, Yingzhi Chen, Jinkai Yu, Huifeng Guo, Yuzhou Zhang

Proceedings of the World Wide Web Conference, 2019

PAL: a position-bias aware learning framework for CTR prediction in live recommender systems.

Huifeng Guo, Jinkai Yu, Qing Liu, Ruiming Tang, Yuzhou Zhang

Proceedings of the 13th ACM Conference on Recommender Systems, 2019

2018

Field-aware probabilistic embedding neural network for CTR prediction.

Weiwen Liu, Ruiming Tang, Jiajin Li, Jinkai Yu, Huifeng Guo, Xiuqiang He, Shengyu Zhang

Proceedings of the 12th ACM Conference on Recommender Systems, 2018