Masked Multi-Domain Network: Multi-Type and Multi-Scenario Conversion Rate Prediction with a Single Model. - Wentao Ouyang; Xiuwu Zhang; Chaofeng Guo; Shukui Ren; Yupei Sui; Kun Zhang; Jinmei Luo; Yunfeng Chen; Dongbo Xu; Xiangzheng Liu; Yanlong Du (CIKM, 2023)

Enrich Code Search Query Semantics with Raw Descriptions. - Xiangzheng Liu; Jianxun Liu 001; Haize Hu; Yi Liu (CollaborateCom (1), 2023)

Contrastive Learning for Conversion Rate Prediction. - Wentao Ouyang; Rui Dong 004; Xiuwu Zhang; Chaofeng Guo; Jinmei Luo; Xiangzheng Liu; Yanlong Du (SIGIR, 2023)

The Short Text Matching Model Enhanced with Knowledge via Contrastive Learning. - Qiqiang Zhong; Mengmeng Cui; Hanjie Mai; Qiang Zhang; Shaohua Xu; Xiangzheng Liu; Yanlong Du (CoRR, 2023)

Contrastive Learning for Conversion Rate Prediction. - Wentao Ouyang; Rui Dong; Xiuwu Zhang; Chaofeng Guo; Jinmei Luo; Xiangzheng Liu; Yanlong Du (CoRR, 2023)

FedUD: Exploiting Unaligned Data for Cross-Platform Federated Click-Through Rate Prediction. - Wentao Ouyang; Rui Dong 004; Ri Tao; Xiangzheng Liu (SIGIR, 2024)

FedUD: Exploiting Unaligned Data for Cross-Platform Federated Click-Through Rate Prediction. - Wentao Ouyang; Rui Dong; Ri Tao; Xiangzheng Liu (CoRR, 2024)

ELEC: Efficient Large Language Model-Empowered Click-Through Rate Prediction. - Rui Dong 004; Wentao Ouyang; Xiangzheng Liu (SIGIR, 2025)