Learning Cost-Effective Social Embedding for Cascade Prediction. - Wei Liu; Huawei Shen; Wentao Ouyang; Ge Fu; Li Zha; Xueqi Cheng (SMP, 2016)

DeepHawkes: Bridging the Gap between Prediction and Understanding of Information Cascades. - Qi Cao; Huawei Shen; Keting Cen; Wentao Ouyang; Xueqi Cheng (CIKM, 2017)

Truth Discovery by Claim and Source Embedding. - Shanshan Lyu; Wentao Ouyang; Huawei Shen; Xueqi Cheng (CIKM, 2017)

A Non-negative Symmetric Encoder-Decoder Approach for Community Detection. - Bing-Jie Sun; Huawei Shen; Jinhua Gao; Wentao Ouyang; Xueqi Cheng (CIKM, 2017)

Towards Efficient Detection of Overlapping Communities in Massive Networks. - Bing-Jie Sun; Huawei Shen; Jinhua Gao; Wentao Ouyang; Xueqi Cheng (AAAI, 2018)

Finding High-Quality Unstructured Submissions in General Crowdsourcing Tasks. - Shanshan Lyu; Wentao Ouyang; Huawei Shen; Xueqi Cheng (CCIR, 2018)

ULE: Learning User and Location Embeddings for POI Recommendation. - Hao Wang; Wentao Ouyang; Huawei Shen; Xueqi Cheng (DSC, 2018)

Exploiting POI-Specific Geographical Influence for Point-of-Interest Recommendation. - Hao Wang; Huawei Shen; Wentao Ouyang; Xueqi Cheng (IJCAI, 2018)

Representation Learning-Assisted Click-Through Rate Prediction. - Wentao Ouyang; Xiuwu Zhang; Shukui Ren; Chao Qi; Zhaojie Liu; Yanlong Du (IJCAI, 2019)

Deep Spatio-Temporal Neural Networks for Click-Through Rate Prediction. - Wentao Ouyang; Xiuwu Zhang; Li Li; Heng Zou; Xin Xing; Zhaojie Liu; Yanlong Du (KDD, 2019)

What We Vote for? Answer Selection from User Expertise View in Community Question Answering. - Shanshan Lyu; Wentao Ouyang; Yongqing Wang 005; Huawei Shen; Xueqi Cheng (WWW, 2019)

Click-Through Rate Prediction with the User Memory Network. - Wentao Ouyang; Xiuwu Zhang; Shukui Ren; Li Li; Zhaojie Liu; Yanlong Du (CoRR, 2019)

Learning representations for quality estimation of crowdsourced submissions. - Shanshan Lyu; Wentao Ouyang; Huawei Shen; Xueqi Cheng (Inf. Process. Manag., 2019)

MiNet: Mixed Interest Network for Cross-Domain Click-Through Rate Prediction. - Wentao Ouyang; Xiuwu Zhang; Lei Zhao; Jinmei Luo; Yu Zhang; Heng Zou; Zhaojie Liu; Yanlong Du (CIKM, 2020)

Learning Graph Meta Embeddings for Cold-Start Ads in Click-Through Rate Prediction. - Wentao Ouyang; Xiuwu Zhang; Shukui Ren; Li Li; Kun Zhang; Jinmei Luo; Zhaojie Liu; Yanlong Du (SIGIR, 2021)

Truth Discovery by Claim and Source Embedding. - Shanshan Lyu; Wentao Ouyang; Yongqing Wang 005; Huawei Shen; Xueqi Cheng (IEEE Trans. Knowl. Data Eng., 2021)

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)

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

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