Keping Yang

According to our database, Keping Yang authored at least 25 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Deep Disentangled Representation Network for Treatment Effect Estimation.

Hui Meng, Keping Yang, Xuyu Peng, Bo Zheng

CoRR, July, 2025

2022

Personalized knowledge-aware recommendation with collaborative and attentive graph convolutional networks.

Quanyu Dai, Xiao-Ming Wu, Lu Fan, Qimai Li, Han Liu, Xiaotong Zhang, Dan Wang, Guli Lin, Keping Yang

Pattern Recognit., 2022

Modeling User Behavior with Graph Convolution for Personalized Product Search.

Lu Fan, Qimai Li, Bo Liu, Xiao-Ming Wu, Xiaotong Zhang, Fuyu Lv, Guli Lin, Sen Li, Taiwei Jin, Keping Yang

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

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

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2021

Learning a Product Relevance Model from Click-Through Data in E-Commerce.

Shaowei Yao, Jiwei Tan, Xi Chen, Keping Yang, Rong Xiao, Hongbo Deng, Xiaojun Wan

Proceedings of the WWW '21: The Web Conference 2021, 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

Proceedings of the WSDM '21, 2021

AutoDebias: Learning to Debias for Recommendation.

Jiawei Chen, Hande Dong, Yang Qiu, Xiangnan He, Xin Xin, Liang Chen, Guli Lin, Keping Yang

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 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

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Embedding-based Product Retrieval in Taobao Search.

Sen Li, Fuyu Lv, Taiwei Jin, Guli Lin, Keping Yang, Xiaoyi Zeng, Xiao-Ming Wu, Qianli Ma

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

2020

Unclicked User Behaviors Enhanced Sequential Recommendation.

Fuyu Lv, Mengxue Li, Tonglei Guo, Changlong Yu, Fei Sun, Taiwei Jin, Keping Yang

CoRR, 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

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, Ramin Ramezani

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 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

Proceedings of the 2020 International Conference on Management of Data, 2020

Entire Space Multi-Task Modeling via Post-Click Behavior Decomposition for Conversion Rate Prediction.

Hong Wen, Jing Zhang, Yuan Wang, Fuyu Lv, Wentian Bao, Quan Lin, Keping Yang

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

GMCM: Graph-based Micro-behavior Conversion Model for Post-click Conversion Rate Estimation.

Wentian Bao, Hong Wen, Sha Li, Xiao-Yang Liu, Quan Lin, Keping Yang

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

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

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

2019

Tracing the Propagation Path: A Flow Perspective of Representation Learning on Graphs.

Menghan Wang, Kun Zhang, Gulin Li, Keping Yang, Luo Si

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, Ramin Ramezani

CoRR, 2019

Conversion Rate Prediction via Post-Click Behaviour Modeling.

Hong Wen, Jing Zhang, Yuan Wang, Wentian Bao, Quan Lin, Keping Yang

CoRR, 2019

How Serendipity Improves User Satisfaction with Recommendations? A Large-Scale User Evaluation.

Li Chen, Yonghua Yang, Ningxia Wang, Keping Yang, Quan Yuan

Proceedings of the World Wide Web Conference, 2019

Deep Session Interest Network for Click-Through Rate Prediction.

Yufei Feng, Fuyu Lv, Weichen Shen, Menghan Wang, Fei Sun, Yu Zhu, Keping Yang

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

SDM: Sequential Deep Matching Model for Online Large-scale Recommender System.

Fuyu Lv, Taiwei Jin, Changlong Yu, Fei Sun, Quan Lin, Keping Yang, Wilfred Ng

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Conceptualize and Infer User Needs in E-commerce.

Xusheng Luo, Yonghua Yang, Kenny Qili Zhu, Yu Gong, Keping Yang

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Multi-Level Deep Cascade Trees for Conversion Rate Prediction in Recommendation System.

Hong Wen, Jing Zhang, Quan Lin, Keping Yang, Pipei Huang

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Multi-Level Deep Cascade Trees for Conversion Rate Prediction.

Hong Wen, Jing Zhang, Quan Lin, Keping Yang, Taiwei Jin, Fuyu Lv, Xiaofeng Pan, Pipei Huang, Zheng-Jun Zha

CoRR, 2018