Yuan Fang

Chuan Shi

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

Learning to Pre-train Graph Neural Networks.

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[DOI]

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

Relative and Absolute Location Embedding for Few-Shot Node Classification on Graph.

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[DOI]

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

2020

Semi-supervised Co-Clustering on Attributed Heterogeneous Information Networks.

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[DOI]

Inf. Process. Manag., 2020

Dual-dropout graph convolutional network for predicting synthetic lethality in human cancers.

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[DOI]

Bioinform., 2020

BiANE: Bipartite Attributed Network Embedding.

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[DOI]

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

Multiplex Memory Network for Collaborative Filtering.

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[DOI]

Proceedings of the 2020 SIAM International Conference on Data Mining, 2020

Social Influence Attentive Neural Network for Friend-Enhanced Recommendation.

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[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science Track, 2020

Temporal Heterogeneous Interaction Graph Embedding for Next-Item Recommendation.

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[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

Meta-learning on Heterogeneous Information Networks for Cold-start Recommendation.

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[DOI]

Yuanfu Lu

Chuan Shi

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

Adaptive Task Sampling for Meta-learning.

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[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

Towards Locality-Aware Meta-Learning of Tail Node Embeddings on Networks.

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[DOI]

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

TPR: Text-aware Preference Ranking for Recommender Systems.

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[DOI]

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

2019

Adversarial Learning on Heterogeneous Information Networks.

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[DOI]

Binbin Hu

Chuan Shi

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Correlation-Sensitive Next-Basket Recommendation.

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[DOI]

Hady W. Lauw

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

2018

Modeling Contemporaneous Basket Sequences with Twin Networks for Next-Item Recommendation.

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[DOI]

Hady W. Lauw

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Heterogeneous Embedding Propagation for Large-Scale E-Commerce User Alignment.

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[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2018

2017

Basket-Sensitive Personalized Item Recommendation.

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[DOI]

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Object Detection Meets Knowledge Graphs.

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[DOI]

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Region average pooling for context-aware object detection.

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[DOI]

Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

2016

Modeling Sequential Preferences with Dynamic User and Context Factors.

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[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

Learning to query: Focused web page harvesting for entity aspects.

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[DOI]

Vincent W. Zheng

Proceedings of the 32nd IEEE International Conference on Data Engineering, 2016

Semantic proximity search on graphs with metagraph-based learning.

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[DOI]

Wenqing Lin

Vincent Wenchen Zheng

Min Wu

Xiaoli Li

Proceedings of the 32nd IEEE International Conference on Data Engineering, 2016

2015

Scheduled approximation for Personalized PageRank with Utility-based Hub Selection.

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[DOI]

Fanwei Zhu

Jing Ying

VLDB J., 2015

IntelligShop: Enabling Intelligent Shopping in Malls through Location-Based Augmented Reality.

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[DOI]

Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

2014

Walking forward and backward: towards graph-based searching and mining

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PhD thesis, 2014

Graph-based Semi-supervised Learning: Realizing Pointwise Smoothness Probabilistically.

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[DOI]

Proceedings of the 31th International Conference on Machine Learning, 2014

2013

Incremental and Accuracy-Aware Personalized PageRank through Scheduled Approximation.

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[DOI]

Fanwei Zhu

Jing Ying

Proc. VLDB Endow., 2013

RoundTripRank: Graph-based proximity with importance and specificity?

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[DOI]

Proceedings of the 29th IEEE International Conference on Data Engineering, 2013

2012

Confidence-aware graph regularization with heterogeneous pairwise features.

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[DOI]

Bo-June Paul Hsu

Proceedings of the 35th International ACM SIGIR conference on research and development in Information Retrieval, 2012

2011

Searching patterns for relation extraction over the web: rediscovering the pattern-relation duality.

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[DOI]

Proceedings of the Forth International Conference on Web Search and Web Data Mining, 2011

Privacy beyond Single Sensitive Attribute.

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[DOI]

Mafruz Zaman Ashrafi

See-Kiong Ng

Proceedings of the Database and Expert Systems Applications, 2011

2010

Efficient Skyline Maintenance for Streaming Data with Partially-Ordered Domains.

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[DOI]