Learning List-wise Representation in Reinforcement Learning for Ads Allocation with Multiple Auxiliary Tasks. - Ze Wang 005; Guogang Liao; Xiaowen Shi; Xiaoxu Wu; Chuheng Zhang; Yongkang Wang 011; Xingxing Wang; Dong Wang 022 (CIKM, 2022)

Hybrid Transfer in Deep Reinforcement Learning for Ads Allocation. - Ze Wang 005; Guogang Liao; Xiaowen Shi; Xiaoxu Wu; Chuheng Zhang; Bingqi Zhu; Yongkang Wang 011; Xingxing Wang; Dong Wang 022 (CIKM, 2022)

Deep Page-Level Interest Network in Reinforcement Learning for Ads Allocation. - Guogang Liao; Xiaowen Shi; Ze Wang 005; Xiaoxu Wu; Chuheng Zhang; Yongkang Wang 011; Xingxing Wang; Dong Wang 022 (SIGIR, 2022)

Cross DQN: Cross Deep Q Network for Ads Allocation in Feed. - Guogang Liao; Ze Wang 005; Xiaoxu Wu; Xiaowen Shi; Chuheng Zhang; Yongkang Wang 011; Xingxing Wang; Dong Wang 022 (WWW, 2022)

NMA: Neural Multi-slot Auctions with Externalities for Online Advertising. - Guogang Liao; Xuejian Li; Ze Wang 005; Fan Yang; Muzhi Guan; Bingqi Zhu; Yongkang Wang 011; Xingxing Wang; Dong Wang 022 (CoRR, 2022)

PIER: Permutation-Level Interest-Based End-to-End Re-ranking Framework in E-commerce. - Xiaowen Shi; Fan Yang; Ze Wang 005; Xiaoxu Wu; Muzhi Guan; Guogang Liao; Yongkang Wang 011; Xingxing Wang; Dong Wang 022 (KDD, 2023)

MDDL: A Framework for Reinforcement Learning-based Position Allocation in Multi-Channel Feed. - Xiaowen Shi; Ze Wang 005; Yuanying Cai; Xiaoxu Wu; Fan Yang; Guogang Liao; Yongkang Wang 011; Xingxing Wang; Dong Wang 022 (SIGIR, 2023)

User Response Modeling in Reinforcement Learning for Ads Allocation. - Zhiyuan Zhang; Qichao Zhang; Xiaoxu Wu; Xiaowen Shi; Guogang Liao; Yongkang Wang 011; Xingxing Wang; Dongbin Zhao (WWW (Companion Volume), 2024)

SEAS: Self-Evolving Adversarial Safety Optimization for Large Language Models. - Muxi Diao; Rumei Li; Shiyang Liu; Guogang Liao; Jingang Wang; Xunliang Cai; Weiran Xu (AAAI, 2025)