Multi-Level Deep Cascade Trees for Conversion Rate Prediction. - Hong Wen 002; Jing Zhang 037; Quan Lin; Keping Yang; Taiwei Jin; Fuyu Lv; Xiaofeng Pan; Pipei Huang; Zheng-Jun Zha (CoRR, 2018)

Multi-Level Deep Cascade Trees for Conversion Rate Prediction in Recommendation System. - Hong Wen 002; Jing Zhang 037; Quan Lin; Keping Yang; Pipei Huang (AAAI, 2019)

Conceptualize and Infer User Needs in E-commerce. - Xusheng Luo; Yonghua Yang; Kenny Qili Zhu; Yu Gong; Keping Yang (CIKM, 2019)

SDM: Sequential Deep Matching Model for Online Large-scale Recommender System. - Fuyu Lv; Taiwei Jin; Changlong Yu; Fei Sun 001; Quan Lin; Keping Yang; Wilfred Ng (CIKM, 2019)

Deep Session Interest Network for Click-Through Rate Prediction. - Yufei Feng; Fuyu Lv; Weichen Shen; Menghan Wang; Fei Sun 001; Yu Zhu 007; Keping Yang (IJCAI, 2019)

How Serendipity Improves User Satisfaction with Recommendations? A Large-Scale User Evaluation. - Li Chen 009; Yonghua Yang; Ningxia Wang; Keping Yang; Quan Yuan (WWW, 2019)

Conversion Rate Prediction via Post-Click Behaviour Modeling. - Hong Wen 002; Jing Zhang 037; Yuan Wang; Wentian Bao; Quan Lin; Keping Yang (CoRR, 2019)

A Causal Perspective to Unbiased Conversion Rate Estimation on Data Missing Not at Random. - Wenhao Zhang; Wentian Bao; Xiao-Yang Liu; Keping Yang; Quan Lin; Hong Wen 002; Ramin Ramezani (CoRR, 2019)

Tracing the Propagation Path: A Flow Perspective of Representation Learning on Graphs. - Menghan Wang; Kun Zhang 001; Gulin Li; Keping Yang; Luo Si (CoRR, 2019)

M2GRL: A Multi-task Multi-view Graph Representation Learning Framework for Web-scale Recommender Systems. - Menghan Wang; Yujie Lin; Guli Lin; Keping Yang; Xiao-Ming Wu 003 (KDD, 2020)

GMCM: Graph-based Micro-behavior Conversion Model for Post-click Conversion Rate Estimation. - Wentian Bao; Hong Wen 002; Sha Li; Xiao-Yang Liu; Quan Lin; Keping Yang (SIGIR, 2020)

Entire Space Multi-Task Modeling via Post-Click Behavior Decomposition for Conversion Rate Prediction. - Hong Wen 002; Jing Zhang 037; Yuan Wang; Fuyu Lv; Wentian Bao; Quan Lin; Keping Yang (SIGIR, 2020)

AliCoCo: Alibaba E-commerce Cognitive Concept Net. - Xusheng Luo; Luxin Liu; Yonghua Yang; Le Bo; Yuanpeng Cao; Jinghang Wu; Qiang Li; Keping Yang; Kenny Q. Zhu (SIGMOD Conference, 2020)

Large-scale Causal Approaches to Debiasing Post-click Conversion Rate Estimation with Multi-task Learning. - Wenhao Zhang; Wentian Bao; Xiao-Yang Liu; Keping Yang; Quan Lin; Hong Wen 002; Ramin Ramezani (WWW, 2020)

AliCoCo: Alibaba E-commerce Cognitive Concept Net. - Xusheng Luo; Luxin Liu; Yonghua Yang; Le Bo; Yuanpeng Cao; Jinhang Wu; Qiang Li; Keping Yang; Kenny Q. Zhu (CoRR, 2020)

Unclicked User Behaviors Enhanced Sequential Recommendation. - Fuyu Lv; Mengxue Li; Tonglei Guo; Changlong Yu; Fei Sun 001; Taiwei Jin; Keping Yang (CoRR, 2020)

Embedding-based Product Retrieval in Taobao Search. - Sen Li 001; Fuyu Lv; Taiwei Jin; Guli Lin; Keping Yang; Xiaoyi Zeng; Xiao-Ming Wu 003; Qianli Ma 001 (KDD, 2021)

AliCoCo2: Commonsense Knowledge Extraction, Representation and Application in E-commerce. - Xusheng Luo; Le Bo; Jinhang Wu; Lin Li; Zhiy Luo; Yonghua Yang; Keping Yang (KDD, 2021)

AutoDebias: Learning to Debias for Recommendation. - Jiawei Chen 007; Hande Dong; Yang Qiu; Xiangnan He 001; Xin Xin 003; Liang Chen 001; Guli Lin; Keping Yang (SIGIR, 2021)

Modeling Across-Context Attention For Long-Tail Query Classification in E-commerce. - Junhao Zhang; Weidi Xu; Jianhui Ji; Xi Chen; Hongbo Deng; Keping Yang (WSDM, 2021)

Learning a Product Relevance Model from Click-Through Data in E-Commerce. - Shaowei Yao; Jiwei Tan; Xi Chen; Keping Yang; Rong Xiao 005; Hongbo Deng; Xiaojun Wan 001 (WWW, 2021)

ReprBERT: Distilling BERT to an Efficient Representation-Based Relevance Model for E-Commerce. - Shaowei Yao; Jiwei Tan; Xi Chen; Juhao Zhang; Xiaoyi Zeng; Keping Yang (KDD, 2022)

Modeling User Behavior with Graph Convolution for Personalized Product Search. - Lu Fan; Qimai Li; Bo Liu 049; Xiao-Ming Wu 003; Xiaotong Zhang 003; Fuyu Lv; Guli Lin; Sen Li 001; Taiwei Jin; Keping Yang (WWW, 2022)

Personalized knowledge-aware recommendation with collaborative and attentive graph convolutional networks. - Quanyu Dai; Xiao-Ming Wu 003; Lu Fan; Qimai Li; Han Liu 008; Xiaotong Zhang 003; Dan Wang 002; Guli Lin; Keping Yang (Pattern Recognit., 2022)

Deep Disentangled Representation Network for Treatment Effect Estimation. - Hui Meng; Keping Yang; Xuyu Peng; Bo Zheng (CoRR, 2025)