Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

CORE: Simple and Effective Session-based Recommendation within Consistent Representation Space.

[BibT_eX]

[DOI]

Yupeng Hou

Binbin Hu

Zhiqiang Zhang

Wayne Xin Zhao

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Neural Graph Matching for Pre-training Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 2022 SIAM International Conference on Data Mining, 2022

Mixture of Graph Enhanced Expert Networks for Multi-task Recommendation.

[BibT_eX]

[DOI]

Proceedings of the PRICAI 2022: Trends in Artificial Intelligence, 2022

A Graph Learning Based Framework for Billion-Scale Offline User Identification.

[BibT_eX]

[DOI]

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

MERIT: Learning Multi-level Representations on Temporal Graphs.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Gaia: Graph Neural Network with Temporal Shift aware Attention for Gross Merchandise Value Forecast in E-commerce.

[BibT_eX]

[DOI]

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Intent Mining: A Social and Semantic Enhanced Topic Model for Operation-Friendly Digital Marketing.

[BibT_eX]

[DOI]

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

FwSeqBlock: A Field-wise Approach for Modeling Behavior Representation in Sequential Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Robust Heterogeneous Graph Neural Networks against Adversarial Attacks.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Regularizing Graph Neural Networks via Consistency-Diversity Graph Augmentations.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Adaptive Client Sampling in Federated Learning via Online Learning with Bandit Feedback.

[BibT_eX]

[DOI]

CoRR, 2021

Conditional Attention Networks for Distilling Knowledge Graphs in Recommendation.

[BibT_eX]

[DOI]

CoRR, 2021

Temporal-Aware Graph Neural Network for Credit Risk Prediction.

[BibT_eX]

[DOI]

Proceedings of the 2021 SIAM International Conference on Data Mining, 2021

Inductive Link Prediction with Interactive Structure Learning on Attributed Graph.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

MixSeq: Connecting Macroscopic Time Series Forecasting with Microscopic Time Series Data.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

User Retention: A Causal Approach with Triple Task Modeling.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

IntelliTag: An Intelligent Cloud Customer Service System Based on Tag Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

LinkLouvain: Link-Aware A/B Testing and Its Application on Online Marketing Campaign.

[BibT_eX]

[DOI]

Proceedings of the Database Systems for Advanced Applications, 2021

SIFN: A Sentiment-aware Interactive Fusion Network for Review-based Item Recommendation.

[BibT_eX]

[DOI]

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Counterfactual Review-based Recommendation.

[BibT_eX]

[DOI]

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Low-dimensional Alignment for Cross-Domain Recommendation.

[BibT_eX]

[DOI]

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Conditional Graph Attention Networks for Distilling and Refining Knowledge Graphs in Recommendation.

[BibT_eX]

[DOI]

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Learning Representations of Inactive Users: A Cross Domain Approach with Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

A Graph Attention Network Model for GMV Forecast on Online Shopping Festival.

[BibT_eX]

[DOI]

Proceedings of the Web and Big Data - 5th International Joint Conference, 2021

Joint Incentive Optimization of Customer and Merchant in Mobile Payment Marketing.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

AGL: A Scalable System for Industrial-purpose Graph Machine Learning.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2020

Heterogeneous Graph Neural Network for Recommendation.

[BibT_eX]

[DOI]

CoRR, 2020

AGL: a Scalable System for Industrial-purpose Graph Machine Learning.

[BibT_eX]

[DOI]

CoRR, 2020

ATBRG: Adaptive Target-Behavior Relational Graph Network for Effective Recommendation.

[BibT_eX]

[DOI]

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

Bandit Samplers for Training Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Hubble: An Industrial System for Audience Expansion in Mobile Marketing.

[BibT_eX]

[DOI]

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

Financial Risk Analysis for SMEs with Graph-based Supply Chain Mining.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

EasyGML: A Fully-functional and Easy-to-use Platform for Industrial Graph Machine Learning.

[BibT_eX]

[DOI]

Zhiqiang Zhang

Jun Zhou

Chuan Shi

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Loan Default Analysis with Multiplex Graph Learning.

[BibT_eX]

[DOI]

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019

SemRec: a personalized semantic recommendation method based on weighted heterogeneous information networks.

[BibT_eX]

[DOI]

World Wide Web, 2019

Distributed Deep Forest and its Application to Automatic Detection of Cash-Out Fraud.

[BibT_eX]

[DOI]

ACM Trans. Intell. Syst. Technol., 2019

Graph Representation Learning for Merchant Incentive Optimization in Mobile Payment Marketing.

[BibT_eX]

[DOI]

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

DSSLP: A Distributed Framework for Semi-supervised Link Prediction.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Cash-Out User Detection Based on Attributed Heterogeneous Information Network with a Hierarchical Attention Mechanism.

[BibT_eX]

[DOI]

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

2018

Distributed Deep Forest and its Application to Automatic Detection of Cash-out Fraud.

[BibT_eX]

[DOI]

CoRR, 2018

An Industrial-Scale System for Heterogeneous Information Card Ranking in Alipay.

[BibT_eX]

[DOI]

Proceedings of the Database Systems for Advanced Applications, 2018

NetDP: An Industrial-Scale Distributed Network Representation Framework for Default Prediction in Ant Credit Pay.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017

Representation learning via Dual-Autoencoder for recommendation.

[BibT_eX]

[DOI]

Neural Networks, 2017

2016

RecExp: A Semantic Recommender System with Explanation Based on Heterogeneous Information Network.

[BibT_eX]

[DOI]

Proceedings of the 10th ACM Conference on Recommender Systems, 2016

2015

Semantic Path based Personalized Recommendation on Weighted Heterogeneous Information Networks.

[BibT_eX]

[DOI]

Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

Zhiqiang Zhang

Timeline

Legend:

Links

Online presence:

On csauthors.net:

Bibliography

Loading...