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

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

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)

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

GCN-ALP: Addressing Matching Collisions in Anchor Link Prediction. - Hao Gao 009; Yongqing Wang 005; Shanshan Lyu; Huawei Shen; Xueqi Cheng (ICKG, 2020)

Information credibility evaluation in online professional social network using tree augmented naïve Bayes classifier. - Nan Jing; Zhao Wu; Shanshan Lyu; Vijayan Sugumaran (Electron. Commer. Res., 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)

Entire Space Learning Framework: Unbias Conversion Rate Prediction in Full Stages of Recommender System. - Shanshan Lyu; Qiwei Chen; Tao Zhuang; Junfeng Ge (CoRR, 2023)

Towards Computation- and Communication-efficient Computational Pathology. - Chu Han; Bingchao Zhao; Jiatai Lin; Shanshan Lyu; Longfei Wang; Tianpeng Deng; Cheng Lu 001; Changhong Liang; Hannah Y. Wen; Xiaojing Guo; Zhenwei Shi; Zaiyi Liu (CoRR, 2025)