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2020 – today
- 2022
[j1]Quanyu Dai, Xiao-Ming Wu
, Lu Fan, Qimai Li, Han Liu, Xiaotong Zhang, Dan Wang, Guli Lin, Keping Yang:
Personalized knowledge-aware recommendation with collaborative and attentive graph convolutional networks. Pattern Recognit. 128: 108628 (2022)- [c17]Shaowei Yao, Jiwei Tan, Xi Chen, Juhao Zhang, Xiaoyi Zeng, Keping Yang:
ReprBERT: Distilling BERT to an Efficient Representation-Based Relevance Model for E-Commerce. KDD 2022: 4363-4371 - [c16]Lu Fan, Qimai Li, Bo Liu, Xiao-Ming Wu, Xiaotong Zhang, Fuyu Lv, Guli Lin, Sen Li, Taiwei Jin, Keping Yang:
Modeling User Behavior with Graph Convolution for Personalized Product Search. WWW 2022: 203-212 - [i14]Fan Lu, Qimai Li, Bo Liu, Xiao-Ming Wu, Xiaotong Zhang, Fuyu Lv, Guli Lin, Sen Li, Taiwei Jin, Keping Yang:
Modeling User Behavior with Graph Convolution for Personalized Product Search. CoRR abs/2202.06081 (2022) - 2021
- [c15]Sen Li, Fuyu Lv, Taiwei Jin, Guli Lin, Keping Yang, Xiaoyi Zeng, Xiao-Ming Wu, Qianli Ma:
Embedding-based Product Retrieval in Taobao Search. KDD 2021: 3181-3189 - [c14]Xusheng Luo, Le Bo, Jinhang Wu, Lin Li, Zhiy Luo, Yonghua Yang, Keping Yang:
AliCoCo2: Commonsense Knowledge Extraction, Representation and Application in E-commerce. KDD 2021: 3385-3393 - [c13]Jiawei Chen, Hande Dong, Yang Qiu, Xiangnan He, Xin Xin, Liang Chen, Guli Lin, Keping Yang:
AutoDebias: Learning to Debias for Recommendation. SIGIR 2021: 21-30 - [c12]Junhao Zhang, Weidi Xu, Jianhui Ji, Xi Chen, Hongbo Deng, Keping Yang:
Modeling Across-Context Attention For Long-Tail Query Classification in E-commerce. WSDM 2021: 58-66 - [c11]Shaowei Yao, Jiwei Tan, Xi Chen, Keping Yang, Rong Xiao, Hongbo Deng, Xiaojun Wan:
Learning a Product Relevance Model from Click-Through Data in E-Commerce. WWW 2021: 2890-2899 - [i13]Shaowei Yao, Jiwei Tan, Xi Chen, Keping Yang, Rong Xiao, Hongbo Deng, Xiaojun Wan:
Learning a Product Relevance Model from Click-Through Data in E-Commerce. CoRR abs/2102.07098 (2021) - [i12]Jiawei Chen, Hande Dong, Yang Qiu, Xiangnan He, Xin Xin, Liang Chen, Guli Lin, Keping Yang:
AutoDebias: Learning to Debias for Recommendation. CoRR abs/2105.04170 (2021) - [i11]Sen Li, Fuyu Lv, Taiwei Jin, Guli Lin, Keping Yang, Xiaoyi Zeng, Xiao-Ming Wu, Qianli Ma:
Embedding-based Product Retrieval in Taobao Search. CoRR abs/2106.09297 (2021) - 2020
- [c10]Menghan Wang, Yujie Lin, Guli Lin, Keping Yang, Xiao-Ming Wu:
M2GRL: A Multi-task Multi-view Graph Representation Learning Framework for Web-scale Recommender Systems. KDD 2020: 2349-2358 - [c9]Wentian Bao, Hong Wen, Sha Li, Xiao-Yang Liu, Quan Lin, Keping Yang:
GMCM: Graph-based Micro-behavior Conversion Model for Post-click Conversion Rate Estimation. SIGIR 2020: 2201-2210 - [c8]Hong Wen, Jing Zhang, Yuan Wang, Fuyu Lv, Wentian Bao, Quan Lin, Keping Yang:
Entire Space Multi-Task Modeling via Post-Click Behavior Decomposition for Conversion Rate Prediction. SIGIR 2020: 2377-2386 - [c7]Xusheng Luo, Luxin Liu, Yonghua Yang, Le Bo, Yuanpeng Cao, Jinghang Wu, Qiang Li, Keping Yang, Kenny Q. Zhu:
AliCoCo: Alibaba E-commerce Cognitive Concept Net. SIGMOD Conference 2020: 313-327 - [c6]Wenhao Zhang, Wentian Bao, Xiao-Yang Liu, Keping Yang, Quan Lin, Hong Wen, Ramin Ramezani:
Large-scale Causal Approaches to Debiasing Post-click Conversion Rate Estimation with Multi-task Learning. WWW 2020: 2775-2781 - [i10]Xusheng Luo, Luxin Liu, Yonghua Yang, Le Bo, Yuanpeng Cao, Jinhang Wu, Qiang Li, Keping Yang, Kenny Q. Zhu:
AliCoCo: Alibaba E-commerce Cognitive Concept Net. CoRR abs/2003.13230 (2020) - [i9]Menghan Wang, Yujie Lin, Guli Lin, Keping Yang, Xiao-Ming Wu:
M2GRL: A Multi-task Multi-view Graph Representation Learning Framework for Web-scale Recommender Systems. CoRR abs/2005.10110 (2020) - [i8]Fuyu Lv, Mengxue Li, Tonglei Guo, Changlong Yu, Fei Sun, Taiwei Jin, Keping Yang:
Unclicked User Behaviors Enhanced Sequential Recommendation. CoRR abs/2010.12837 (2020)
2010 – 2019
- 2019
- [c5]Hong Wen, Jing Zhang, Quan Lin, Keping Yang, Pipei Huang:
Multi-Level Deep Cascade Trees for Conversion Rate Prediction in Recommendation System. AAAI 2019: 338-345 - [c4]Xusheng Luo, Yonghua Yang, Kenny Qili Zhu, Yu Gong, Keping Yang:
Conceptualize and Infer User Needs in E-commerce. CIKM 2019: 2517-2525 - [c3]Fuyu Lv, Taiwei Jin, Changlong Yu, Fei Sun, Quan Lin, Keping Yang, Wilfred Ng:
SDM: Sequential Deep Matching Model for Online Large-scale Recommender System. CIKM 2019: 2635-2643 - [c2]Yufei Feng, Fuyu Lv, Weichen Shen, Menghan Wang, Fei Sun, Yu Zhu, Keping Yang:
Deep Session Interest Network for Click-Through Rate Prediction. IJCAI 2019: 2301-2307 - [c1]Li Chen, Yonghua Yang, Ningxia Wang, Keping Yang, Quan Yuan:
How Serendipity Improves User Satisfaction with Recommendations? A Large-Scale User Evaluation. WWW 2019: 240-250 - [i7]Yufei Feng, Fuyu Lv, Weichen Shen, Menghan Wang, Fei Sun, Yu Zhu, Keping Yang:
Deep Session Interest Network for Click-Through Rate Prediction. CoRR abs/1905.06482 (2019) - [i6]Fuyu Lv, Taiwei Jin, Changlong Yu, Fei Sun, Quan Lin, Keping Yang, Wilfred Ng:
SDM: Sequential Deep Matching Model for Online Large-scale Recommender System. CoRR abs/1909.00385 (2019) - [i5]Xusheng Luo, Yonghua Yang, Kenny Q. Zhu, Yu Gong, Keping Yang:
Conceptualize and Infer User Needs in E-commerce. CoRR abs/1910.03295 (2019) - [i4]Hong Wen, Jing Zhang, Yuan Wang, Wentian Bao, Quan Lin, Keping Yang:
Conversion Rate Prediction via Post-Click Behaviour Modeling. CoRR abs/1910.07099 (2019) - [i3]Wenhao Zhang, Wentian Bao, Xiao-Yang Liu, Keping Yang, Quan Lin, Hong Wen, Ramin Ramezani:
A Causal Perspective to Unbiased Conversion Rate Estimation on Data Missing Not at Random. CoRR abs/1910.09337 (2019) - [i2]Menghan Wang, Kun Zhang, Gulin Li, Keping Yang, Luo Si:
Tracing the Propagation Path: A Flow Perspective of Representation Learning on Graphs. CoRR abs/1912.05977 (2019) - 2018
- [i1]Hong Wen, Jing Zhang, Quan Lin, Keping Yang, Taiwei Jin, Fuyu Lv, Xiaofeng Pan, Pipei Huang, Zheng-Jun Zha:
Multi-Level Deep Cascade Trees for Conversion Rate Prediction. CoRR abs/1805.09484 (2018)
Coauthor Index
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