Dongying Kong

According to our database, Dongying Kong authored at least 13 papers between 2015 and 2026.

Collaborative distances:

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

2026

Constraint-Aware Generative Re-ranking for Multi-Objective Optimization in Advertising Feeds.

Chenfei Li, Hantao Zhao, Weixi Yao, Ruiming Huang, Rongrong Lu, Geng Tian, Dongying Kong

CoRR, March, 2026

Compress, Cross and Scale: Multi-Level Compression Cross Networks for Efficient Scaling in Recommender Systems.

Heng Yu, Xiangjun Zhou, Jie Xia, Heng Zhao, Anxin Wu, Yu Zhao, Dongying Kong

CoRR, February, 2026

SPICE: Submodular Penalized Information-Conflict Selection for Efficient Large Language Model Training.

Powei Chang, Jinpeng Zhang, Bowen Chen, Chenyu Wang, Chenlu Guo, Yixing Zhang, Yukang Gao, JianXiang Xiang, Yue Gao, Chaoqun Sun, Yiyi Chen, Dongying Kong

CoRR, January, 2026

2024

Multi-Epoch learning with Data Augmentation for Deep Click-Through Rate Prediction.

Zhongxiang Fan, Zhaocheng Liu, Jian Liang, Dongying Kong, Han Li, Peng Jiang, Shuang Li, Kun Gai

CoRR, 2024

Enhancing Recommendation Accuracy and Diversity with Box Embedding: A Universal Framework.

Cheng Wu, Shaoyun Shi, Chaokun Wang, Ziyang Liu, Wang Peng, Wenjin Wu, Dongying Kong, Han Li, Kun Gai

Proceedings of the ACM on Web Conference 2024, 2024

Adaptive Neural Ranking Framework: Toward Maximized Business Goal for Cascade Ranking Systems.

Yunli Wang, Zhiqiang Wang, Jian Yang, Shiyang Wen, Dongying Kong, Han Li, Kun Gai

Proceedings of the ACM on Web Conference 2024, 2024

Optimal Auction Design with User Coupons in Advertising Systems.

Xiaodong Liu, Zhikang Fan, Yiming Ding, Yuan Guo, Lihua Zhang, Changcheng Li, Dongying Kong, Han Li, Weiran Shen

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

2023

Multi-Epoch Learning for Deep Click-Through Rate Prediction Models.

Zhaocheng Liu, Zhongxiang Fan, Jian Liang, Dongying Kong, Han Li

CoRR, 2023

2022

Improving Multi-Interest Network with Stable Learning.

Zhaocheng Liu, Yingtao Luo, Di Zeng, Qiang Liu, Daqing Chang, Dongying Kong, Zhi Chen

CoRR, 2022

LPFS: Learnable Polarizing Feature Selection for Click-Through Rate Prediction.

Yi Guo, Zhaocheng Liu, Jianchao Tan, Chao Liao, Daqing Chang, Qiang Liu, Sen Yang, Ji Liu, Dongying Kong, Zhi Chen, Chengru Song

CoRR, 2022

Persia: An Open, Hybrid System Scaling Deep Learning-based Recommenders up to 100 Trillion Parameters.

Xiangru Lian, Binhang Yuan, Xuefeng Zhu, Yulong Wang, Yongjun He, Honghuan Wu, Lei Sun, Haodong Lyu, Chengjun Liu, Xing Dong, Yiqiao Liao, Mingnan Luo, Congfei Zhang, Jingru Xie, Haonan Li, Lei Chen, Renjie Huang, Jianying Lin, Chengchun Shu, Xuezhong Qiu, Zhishan Liu, Dongying Kong, Lei Yuan, Hai Yu, Sen Yang, Ce Zhang, Ji Liu

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2021

PASTO: Strategic Parameter Optimization in Recommendation Systems - Probabilistic is Better than Deterministic.

Weicong Ding, Hanlin Tang, Jingshuo Feng, Lei Yuan, Sen Yang, Guangxu Yang, Jie Zheng, Jing Wang, Qiang Su, Dong Zheng, Xuezhong Qiu, Yongqi Liu, Yuxuan Chen, Yang Liu, Chao Song, Dongying Kong, Kai Ren, Peng Jiang, Qiao Lian, Ji Liu

CoRR, 2021

2015

A Guided Wave Sensor Based on the Inverse Magnetostrictive Effect for Distinguishing Symmetric from Asymmetric Features in Pipes.

Jiang Xu, Xinjun Wu, Dongying Kong, Pengfei Sun

Sensors, 2015