Fuzheng Zhang

According to our database1, Fuzheng Zhang authored at least 51 papers between 2013 and 2019.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2019
Exploring High-Order User Preference on the Knowledge Graph for Recommender Systems.
ACM Trans. Inf. Syst., 2019

Transcribing Content from Structural Images with Spotlight Mechanism.
CoRR, 2019

Earlier Attention? Aspect-Aware LSTM for Aspect Sentiment Analysis.
CoRR, 2019

Knowledge Graph Convolutional Networks for Recommender Systems with Label Smoothness Regularization.
CoRR, 2019

Multi-Task Feature Learning for Knowledge Graph Enhanced Recommendation.
CoRR, 2019

Multi-Task Feature Learning for Knowledge Graph Enhanced Recommendation.
Proceedings of the World Wide Web Conference, 2019

Neural Response Generation with Relevant Emotions for Short Text Conversation.
Proceedings of the Natural Language Processing and Chinese Computing, 2019

Knowledge-aware Graph Neural Networks with Label Smoothness Regularization for Recommender Systems.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Earlier Attention? Aspect-Aware LSTM for Aspect-Based Sentiment Analysis.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2018
Scalable Content-Aware Collaborative Filtering for Location Recommendation.
IEEE Trans. Knowl. Data Eng., 2018

Environmental Monitoring of Ancient Buildings Based on a Wireless Sensor Network.
Sensors, 2018

xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender Systems.
CoRR, 2018

Ripple Network: Propagating User Preferences on the Knowledge Graph for Recommender Systems.
CoRR, 2018

Cross-domain novelty seeking trait mining for sequential recommendation.
CoRR, 2018

DKN: Deep Knowledge-Aware Network for News Recommendation.
CoRR, 2018

DRN: A Deep Reinforcement Learning Framework for News Recommendation.
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

DKN: Deep Knowledge-Aware Network for News Recommendation.
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

SHINE: Signed Heterogeneous Information Network Embedding for Sentiment Link Prediction.
Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

Overview of the NLPCC 2018 Shared Task: Social Media User Modeling.
Proceedings of the Natural Language Processing and Chinese Computing, 2018

Transcribing Content from Structural Images with Spotlight Mechanism.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender Systems.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Sequential Recommender System based on Hierarchical Attention Networks.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Towards Better Representation Learning for Personalized News Recommendation: a Multi-Channel Deep Fusion Approach.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

RippleNet: Propagating User Preferences on the Knowledge Graph for Recommender Systems.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

GraphGAN: Graph Representation Learning With Generative Adversarial Nets.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
SHINE: Signed Heterogeneous Information Network Embedding for Sentiment Link Prediction.
CoRR, 2017

GraphGAN: Graph Representation Learning with Generative Adversarial Nets.
CoRR, 2017

Sequential Transfer Learning: Cross-domain Novelty Seeking Trait Mining for Recommendation.
Proceedings of the 26th International Conference on World Wide Web Companion, 2017

Restaurant Survival Analysis with Heterogeneous Information.
Proceedings of the 26th International Conference on World Wide Web Companion, 2017

CCCFNet: A Content-Boosted Collaborative Filtering Neural Network for Cross Domain Recommender Systems.
Proceedings of the 26th International Conference on World Wide Web Companion, 2017

Beyond the Words: Predicting User Personality from Heterogeneous Information.
Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, 2017

Overview of the NLPCC-ICCPOL 2017 Shared Task: Social Media User Modeling.
Proceedings of the Natural Language Processing and Chinese Computing, 2017

A Multifaceted Model for Cross Domain Recommendation Systems.
Proceedings of the Knowledge Science, Engineering and Management, 2017

2016
Exploiting Dining Preference for Restaurant Recommendation.
Proceedings of the 25th International Conference on World Wide Web, 2016

Who Will Reply to/Retweet This Tweet?: The Dynamics of Intimacy from Online Social Interactions.
Proceedings of the Ninth ACM International Conference on Web Search and Data Mining, 2016

Collaborative Knowledge Base Embedding for Recommender Systems.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Regularized Content-Aware Tensor Factorization Meets Temporal-Aware Location Recommendation.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

A contextual collaborative approach for app usage forecasting.
Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2016

2015
Sensing the Pulse of Urban Refueling Behavior: A Perspective from Taxi Mobility.
ACM TIST, 2015

Geo-social media data analytic for user modeling and location-based services.
SIGSPATIAL Special, 2015

Reconstructing individual mobility from smart card transactions: a collaborative space alignment approach.
Knowl. Inf. Syst., 2015

Mining Location-based Social Networks: A Predictive Perspective.
IEEE Data Eng. Bull., 2015

A Novelty-Seeking based Dining Recommender System.
Proceedings of the 24th International Conference on World Wide Web, 2015

You Are Where You Go: Inferring Demographic Attributes from Location Check-ins.
Proceedings of the Eighth ACM International Conference on Web Search and Data Mining, 2015

Content-Aware Collaborative Filtering for Location Recommendation Based on Human Mobility Data.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

Mining consumer impulsivity from offline and online behavior.
Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2015

2014
Mining novelty-seeking trait across heterogeneous domains.
Proceedings of the 23rd International World Wide Web Conference, 2014

A Method to Predict the Intermittent Power by Classification Model.
Proceedings of the 2014 Ninth International Conference on P2P, 2014

2013
Reconstructing Individual Mobility from Smart Card Transactions: A Space Alignment Approach.
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

Sensing the pulse of urban refueling behavior.
Proceedings of the 2013 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2013

We know how you live: exploring the spectrum of urban lifestyles.
Proceedings of the Conference on Online Social Networks, 2013


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