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CAMAR: a broad learning based context-aware recommender for mobile applications

Knowledge and information systems, 2020-08, Vol.62 (8), p.3291-3319

2020

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Multi-way Multi-level Kernel Modeling for Neuroimaging Classification

2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017, p.6846-6854

2017

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Spectral collaborative filtering

Proceedings of the 12th ACM Conference on Recommender Systems, 2018, p.311-319

2018

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Collective Geographical Embedding for Geolocating Social Network Users

Advances in Knowledge Discovery and Data Mining, p.599-611

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Multi-view Graph Embedding with Hub Detection for Brain Network Analysis

2017 IEEE International Conference on Data Mining (ICDM), 2017, p.967-972

2017

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Deep and Broad Learning on Content-Aware POI Recommendation

2017 IEEE 3rd International Conference on Collaboration and Internet Computing (CIC), 2017, p.369-378

2017

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A Broad Learning Approach for Context-Aware Mobile Application Recommendation

2017 IEEE International Conference on Data Mining (ICDM), 2017, p.955-960

2017

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Inferring the impacts of social media on crowdfunding

Proceedings of the 7th ACM international conference on Web search and data mining, 2014, p.573-582

2014

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Semi-supervised Tensor Factorization for Brain Network Analysis

Machine Learning and Knowledge Discovery in Databases, 2016, Vol.9851, p.17-32

2016

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Joint Community and Structural Hole Spanner Detection via Harmonic Modularity

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016, p.875-884

2016

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Online multi-view clustering with incomplete views

2016 IEEE International Conference on Big Data (Big Data), 2016, p.1012-1017

2016

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Deep Distribution Network: Addressing the Data Sparsity Issue for Top-N Recommendation

Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019, p.1081-1084

2019

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A Framework of Mining Semantic Regions from Trajectories

Database Systems for Advanced Applications, p.193-207

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Structural Deep Brain Network Mining

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2017, p.475-484

2017

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Learning from Multi-View Multi-Way Data via Structural Factorization Machines

Proceedings of the 2018 World Wide Web Conference, 2018, p.1593-1602

2018

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Scaling Up LLM Reviews for Google Ads Content Moderation

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024, p.1174-1175

2024

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Ultra Fine-Grained Image Semantic Embedding

Proceedings of the 13th International Conference on Web Search and Data Mining, 2020, p.277-285

2020

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Community-preserving Graph Convolutions for Structural and Functional Joint Embedding of Brain Networks

2019 IEEE International Conference on Big Data (Big Data), 2019, p.1163-1168

2019

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MARS: Memory Attention-Aware Recommender System

2019 IEEE International Conference on Data Science and Advanced Analytics (DSAA), 2019, p.11-20

2019

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Neural Structured Learning: Training Neural Networks with Structured Signals

Proceedings of the 14th ACM International Conference on Web Search and Data Mining, 2021, p.1150-1153

2021

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Inferring Context from Pixels for Multimodal Image Classification

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019, p.189-198

2019

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Identifying Your Customers in Social Networks

Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014, p.391-400

2014

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A Self-Organizing Tensor Architecture for Multi-view Clustering

2018 IEEE International Conference on Data Mining (ICDM), 2018, p.1007-1012

2018

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Bringing semantic structures to user intent detection in online medical queries

2017 IEEE International Conference on Big Data (Big Data), 2017, p.1019-1026

2017

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Neural Structured Learning: Training Neural Networks with Structured Signals

Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2020, p.3501-3502

2020

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CAMAR: a broad learning based context-aware recommender for mobile applications

Multi-way Multi-level Kernel Modeling for Neuroimaging Classification

Spectral collaborative filtering

Collective Geographical Embedding for Geolocating Social Network Users

Multi-view Graph Embedding with Hub Detection for Brain Network Analysis

Deep and Broad Learning on Content-Aware POI Recommendation

A Broad Learning Approach for Context-Aware Mobile Application Recommendation

Inferring the impacts of social media on crowdfunding

Semi-supervised Tensor Factorization for Brain Network Analysis

Joint Community and Structural Hole Spanner Detection via Harmonic Modularity

Online multi-view clustering with incomplete views

Deep Distribution Network: Addressing the Data Sparsity Issue for Top-N Recommendation

A Framework of Mining Semantic Regions from Trajectories

Structural Deep Brain Network Mining

Learning from Multi-View Multi-Way Data via Structural Factorization Machines

Scaling Up LLM Reviews for Google Ads Content Moderation

Ultra Fine-Grained Image Semantic Embedding

Community-preserving Graph Convolutions for Structural and Functional Joint Embedding of Brain Networks

MARS: Memory Attention-Aware Recommender System

Neural Structured Learning: Training Neural Networks with Structured Signals

Inferring Context from Pixels for Multimodal Image Classification

Identifying Your Customers in Social Networks

A Self-Organizing Tensor Architecture for Multi-view Clustering

Bringing semantic structures to user intent detection in online medical queries

Neural Structured Learning: Training Neural Networks with Structured Signals

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