Yongkang Wang

According to our database, Yongkang Wang authored at least 15 papers between 2022 and 2024.

Collaborative distances:

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

2024

User Response Modeling in Reinforcement Learning for Ads Allocation.

Zhiyuan Zhang, Qichao Zhang, Xiaoxu Wu, Xiaowen Shi, Guogang Liao, Yongkang Wang, Xingxing Wang, Dongbin Zhao

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Deep Automated Mechanism Design for Integrating Ad Auction and Allocation in Feed.

Xuejian Li, Ze Wang, Bingqi Zhu, Fei He, Yongkang Wang, Xingxing Wang

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

2023

TBIN: Modeling Long Textual Behavior Data for CTR Prediction.

Shuwei Chen, Xiang Li, Jian Dong, Jin Zhang, Yongkang Wang, Xingxing Wang

CoRR, 2023

Cross-Element Combinatorial Selection for Multi-Element Creative in Display Advertising.

Wei Zhang, Ping Zhang, Jian Dong, Yongkang Wang, Pengye Zhang, Bo Zhang, Xingxing Wang, Dong Wang

CoRR, 2023

A Deep Behavior Path Matching Network for Click-Through Rate Prediction.

Jian Dong, Yisong Yu, Yapeng Zhang, Yimin Lv, Shuli Wang, Beihong Jin, Yongkang Wang, Xingxing Wang, Dong Wang

Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

MDDL: A Framework for Reinforcement Learning-based Position Allocation in Multi-Channel Feed.

Xiaowen Shi, Ze Wang, Yuanying Cai, Xiaoxu Wu, Fan Yang, Guogang Liao, Yongkang Wang, Xingxing Wang, Dong Wang

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Context-Aware Modeling via Simulated Exposure Page for CTR Prediction.

Xiang Li, Shuwei Chen, Jian Dong, Jin Zhang, Yongkang Wang, Xingxing Wang, Dong Wang

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Deep Situation-Aware Interaction Network for Click-Through Rate Prediction.

Yimin Lv, Shuli Wang, Beihong Jin, Yisong Yu, Yapeng Zhang, Jian Dong, Yongkang Wang, Xingxing Wang, Dong Wang

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

PIER: Permutation-Level Interest-Based End-to-End Re-ranking Framework in E-commerce.

Xiaowen Shi, Fan Yang, Ze Wang, Xiaoxu Wu, Muzhi Guan, Guogang Liao, Yongkang Wang, Xingxing Wang, Dong Wang

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Decision-Making Context Interaction Network for Click-Through Rate Prediction.

Xiang Li, Shuwei Chen, Jian Dong, Jin Zhang, Yongkang Wang, Xingxing Wang, Dong Wang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

NMA: Neural Multi-slot Auctions with Externalities for Online Advertising.

Guogang Liao, Xuejian Li, Ze Wang, Fan Yang, Muzhi Guan, Bingqi Zhu, Yongkang Wang, Xingxing Wang, Dong Wang

CoRR, 2022

Cross DQN: Cross Deep Q Network for Ads Allocation in Feed.

Guogang Liao, Ze Wang, Xiaoxu Wu, Xiaowen Shi, Chuheng Zhang, Yongkang Wang, Xingxing Wang, Dong Wang

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Deep Page-Level Interest Network in Reinforcement Learning for Ads Allocation.

Guogang Liao, Xiaowen Shi, Ze Wang, Xiaoxu Wu, Chuheng Zhang, Yongkang Wang, Xingxing Wang, Dong Wang

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Hybrid Transfer in Deep Reinforcement Learning for Ads Allocation.

Ze Wang, Guogang Liao, Xiaowen Shi, Xiaoxu Wu, Chuheng Zhang, Bingqi Zhu, Yongkang Wang, Xingxing Wang, Dong Wang

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Learning List-wise Representation in Reinforcement Learning for Ads Allocation with Multiple Auxiliary Tasks.

Ze Wang, Guogang Liao, Xiaowen Shi, Xiaoxu Wu, Chuheng Zhang, Yongkang Wang, Xingxing Wang, Dong Wang

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022