Le Wu

According to our database1, Le Wu authored at least 47 papers between 2012 and 2019.

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Bibliography

2019
Photo Aesthetic Scoring Through Spatial Aggregation Perception DCNN on a New IDEA Dataset.
Proceedings of the Cognitive Internet of Things: Frameworks, Tools and Applications, 2019

ILGNet: inception modules with connected local and global features for efficient image aesthetic quality classification using domain adaptation.
IET Computer Vision, 2019

Aesthetic Attributes Assessment of Images.
CoRR, 2019

Personalized Multimedia Item and Key Frame Recommendation.
CoRR, 2019

Explainable Fashion Recommendation: A Semantic Attribute Region Guided Approach.
CoRR, 2019

A Neural Influence Diffusion Model for Social Recommendation.
CoRR, 2019

Quality-aware Unpaired Image-to-Image Translation.
CoRR, 2019

Two open-source projects for image aesthetic quality assessment.
SCIENCE CHINA Information Sciences, 2019

A Neural Influence Diffusion Model for Social Recommendation.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Context-Aware Dual-Attention Network for Natural Language Inference.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

Automating Feature Subspace Exploration via Multi-Agent Reinforcement Learning.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Personalized Multimedia Item and Key Frame Recommendation.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Explainable Fashion Recommendation: A Semantic Attribute Region Guided Approach.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

DRr-Net: Dynamic Re-Read Network for Sentence Semantic Matching.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Efficient Region Embedding with Multi-View Spatial Networks: A Perspective of Locality-Constrained Spatial Autocorrelations.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Product Adoption Rate Prediction in a Competitive Market.
IEEE Trans. Knowl. Data Eng., 2018

Illuminating Recommendation by Understanding the Explicit Item Relations.
J. Comput. Sci. Technol., 2018

SocialGCN: An Efficient Graph Convolutional Network based Model for Social Recommendation.
CoRR, 2018

Explainable Social Contextual Image Recommendation with Hierarchical Attention.
CoRR, 2018

Attentive Recurrent Social Recommendation.
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

Predicting Aesthetic Radar Map Using a Hierarchical Multi-task Network.
Proceedings of the Pattern Recognition and Computer Vision - First Chinese Conference, 2018

Contextual Attention Model for Social Recommendation.
Proceedings of the Advances in Multimedia Information Processing - PCM 2018, 2018

Zero-Shot Learning: An Energy Based Approach.
Proceedings of the IEEE International Conference on Data Mining, 2018

Image-Enhanced Multi-level Sentence Representation Net for Natural Language Inference.
Proceedings of the IEEE International Conference on Data Mining, 2018

A Reinforcement Learning Framework for Explainable Recommendation.
Proceedings of the IEEE International Conference on Data Mining, 2018

Multiple Pairwise Ranking with Implicit Feedback.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

Predicting Aesthetic Score Distribution Through Cumulative Jensen-Shannon Divergence.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Modeling the Evolution of Users' Preferences and Social Links in Social Networking Services.
IEEE Trans. Knowl. Data Eng., 2017

Predicting Aesthetic Score Distribution through Cumulative Jensen-Shannon Divergence.
CoRR, 2017

Tracking the Dynamics in Crowdfunding.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Incremental Matrix Factorization: A Linear Feature Transformation Perspective.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

MFCC: An Efficient and Effective Matrix Factorization Model Based on Co-clustering.
Proceedings of the Internet Multimedia Computing and Service, 2017

Integrating LTE-D2D and VLC techniques to support V2V communication.
Proceedings of the 2017 IEEE/CIC International Conference on Communications in China, 2017

Tracking Knowledge Proficiency of Students with Educational Priors.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

2016
From Footprint to Evidence: An Exploratory Study of Mining Social Data for Credit Scoring.
TWEB, 2016

Relevance Meets Coverage: A Unified Framework to Generate Diversified Recommendations.
ACM TIST, 2016

Personal Credit Profiling via Latent User Behavior Dimensions on Social Media.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2016

Selecting Valuable Customers for Merchants in E-Commerce Platforms.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Predicting the Popularity of DanMu-enabled Videos: A Multi-factor View.
Proceedings of the Database Systems for Advanced Applications, 2016

Modeling Users' Preferences and Social Links in Social Networking Services: A Joint-Evolving Perspective.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Product Adoption Rate Prediction: A Multi-factor View.
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

Predicting Smartphone Adoption in Social Networks.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015

Identifying Hesitant and Interested Customers for Targeted Social Marketing.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015

2014
Investment Recommendation in P2P Lending: A Portfolio Perspective with Risk Management.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

2013
Utilizing Social and Behavioral Neighbors for Personalized Recommendation.
Proceedings of the Advances in Neural Networks - ISNN 2013, 2013

Multi-Label Classification with Unlabeled Data: An Inductive Approach.
Proceedings of the Asian Conference on Machine Learning, 2013

2012
Leveraging tagging for neighborhood-aware probabilistic matrix factorization.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012


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