Guogang Liao

According to our database, Guogang Liao authored at least 7 papers between 2022 and 2023.

Collaborative distances:

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

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

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

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