Dawei Yin

According to our database1, Dawei Yin authored at least 86 papers between 2009 and 2019.

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Bibliography

2019
Off-policy Learning for Multiple Loggers.
CoRR, 2019

Deep Social Collaborative Filtering.
CoRR, 2019

Toward Simulating Environments in Reinforcement Learning Based Recommendations.
CoRR, 2019

Graph Neural Networks for Social Recommendation.
CoRR, 2019

Reinforcement Learning to Optimize Long-term User Engagement in Recommender Systems.
CoRR, 2019

Model-Based Reinforcement Learning for Whole-Chain Recommendations.
CoRR, 2019

Product-Aware Answer Generation in E-Commerce Question-Answering.
CoRR, 2019

MiST: A Multiview and Multimodal Spatial-Temporal Learning Framework for Citywide Abnormal Event Forecasting.
Proceedings of the World Wide Web Conference, 2019

Graph Neural Networks for Social Recommendation.
Proceedings of the World Wide Web Conference, 2019

Product-Aware Answer Generation in E-Commerce Question-Answering.
Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

DAPA: The WSDM 2019 Workshop on Deep Matching in Practical Applications.
Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

Multi-dimensional Graph Convolutional Networks.
Proceedings of the 2019 SIAM International Conference on Data Mining, 2019

Deep social collaborative filtering.
Proceedings of the 13th ACM Conference on Recommender Systems, 2019

Reinforcement Learning to Optimize Long-term User Engagement in Recommender Systems.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Online Purchase Prediction via Multi-Scale Modeling of Behavior Dynamics.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Off-policy Learning for Multiple Loggers.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Semi-supervised User Profiling with Heterogeneous Graph Attention Networks.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Reinforcement Learning to Diversify Top-N Recommendation.
Proceedings of the Database Systems for Advanced Applications, 2019

Spectral Clustering in Heterogeneous Information Networks.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Optimizing Whole-Page Presentation for Web Search.
TWEB, 2018

Ultra High-Dimensional Nonlinear Feature Selection for Big Biological Data.
IEEE Trans. Knowl. Data Eng., 2018

Reinforcement Learning for Online Information Seeking.
CoRR, 2018

Dynamic Graph Neural Networks.
CoRR, 2018

Explicit State Tracking with Semi-Supervision for Neural Dialogue Generation.
CoRR, 2018

Linked Recurrent Neural Networks.
CoRR, 2018

Multi-dimensional Graph Convolutional Networks.
CoRR, 2018

Deep Reinforcement Learning for Page-wise Recommendations.
CoRR, 2018

Recommendations with Negative Feedback via Pairwise Deep Reinforcement Learning.
CoRR, 2018

Deep Reinforcement Learning for List-wise Recommendations.
CoRR, 2018

Hierarchical Variational Memory Network for Dialogue Generation.
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

Micro Behaviors: A New Perspective in E-commerce Recommender Systems.
Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

A Path-constrained Framework for Discriminating Substitutable and Complementary Products in E-commerce.
Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

Multi-Dimensional Network Embedding with Hierarchical Structure.
Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

Information Discovery in E-commerce: Half-day SIGIR 2018 Tutorial.
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

Deep reinforcement learning for page-wise recommendations.
Proceedings of the 12th ACM Conference on Recommender Systems, 2018

Recommendations with Negative Feedback via Pairwise Deep Reinforcement Learning.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Learning Tag Dependencies for Sequence Tagging.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Explicit State Tracking with Semi-Supervisionfor Neural Dialogue Generation.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

Knowledge Diffusion for Neural Dialogue Generation.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

Sequicity: Simplifying Task-oriented Dialogue Systems with Single Sequence-to-Sequence Architectures.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017
Large-Scale Location Prediction for Web Pages.
IEEE Trans. Knowl. Data Eng., 2017

A Survey on Dialogue Systems: Recent Advances and New Frontiers.
SIGKDD Explorations, 2017

A Survey on Dialogue Systems: Recent Advances and New Frontiers.
CoRR, 2017

Preserving Local and Global Information for Network Embedding.
CoRR, 2017

Streaming Recommender Systems.
Proceedings of the 26th International Conference on World Wide Web, 2017

Understanding and Predicting Weight Loss with Mobile Social Networking Data.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

2016
Streaming Recommender Systems.
CoRR, 2016

Beyond Ranking: Optimizing Whole-Page Presentation.
Proceedings of the Ninth ACM International Conference on Web Search and Data Mining, 2016

Leveraging User Interaction Signals for Web Image Search.
Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, 2016

Learning Query and Document Relevance from a Web-scale Click Graph.
Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, 2016

Ranking Relevance in Yahoo Search.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Positive-Unlabeled Learning in Streaming Networks.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Timeline Summarization from Social Media with Life Cycle Models.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Learning to Rewrite Queries.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Recommendation with Social Dimensions.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Learning to rank related entities in Web search.
Neurocomputing, 2015

Rethink Targeting: Detect 'Smart Cheating' in Online Advertising through Causal Inference.
Proceedings of the 24th International Conference on World Wide Web Companion, 2015

What Size Should A Mobile Ad Be?
Proceedings of the 24th International Conference on World Wide Web Companion, 2015

The 2nd workshop on Vertical Search Relevance at WSDM 2015.
Proceedings of the Eighth ACM International Conference on Web Search and Data Mining, 2015

Robust Tree-based Causal Inference for Complex Ad Effectiveness Analysis.
Proceedings of the Eighth ACM International Conference on Web Search and Data Mining, 2015

Consistent Collective Matrix Completion under Joint Low Rank Structure.
Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015

Causal Inference via Sparse Additive Models with Application to Online Advertising.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
N$^3$LARS: Minimum Redundancy Maximum Relevance Feature Selection for Large and High-dimensional Data.
CoRR, 2014

Consistent Collective Matrix Completion under Joint Low Rank Structure.
CoRR, 2014

Exploiting contextual factors for click modeling in sponsored search.
Proceedings of the Seventh ACM International Conference on Web Search and Data Mining, 2014

Estimating ad group performance in sponsored search.
Proceedings of the Seventh ACM International Conference on Web Search and Data Mining, 2014

Recommendation in Academia: A joint multi-relational model.
Proceedings of the 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2014

2013
Connecting comments and tags: improved modeling of social tagging systems.
Proceedings of the Sixth ACM International Conference on Web Search and Data Mining, 2013

Convex Collective Matrix Factorization.
Proceedings of the Sixteenth International Conference on Artificial Intelligence and Statistics, 2013

2012
Co-evolution of symptom-herb relationship.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

2011
Exploiting session-like behaviors in tag prediction.
Proceedings of the 20th International Conference on World Wide Web, 2011

Link formation analysis in microblogs.
Proceedings of the Proceeding of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2011

Award prediction with temporal citation network analysis.
Proceedings of the Proceeding of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2011

Tracking trends: incorporating term volume into temporal topic models.
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

Structural link analysis and prediction in microblogs.
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

Co-evolutionary genetic algorithm in symptom-herb relationship discovery.
Proceedings of the 2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops, 2011

Temporal Dynamics of User Interests in Tagging Systems.
Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

Normalizing Microtext.
Proceedings of the Analyzing Microtext, 2011

2010
A probabilistic model for personalized tag prediction.
Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

Imbalance and Concentration in k-NN Classification.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

Document Segmentation Using Pixel-Accurate Ground Truth.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

Time and space optimization of document content classifiers.
Proceedings of the Document Recognition and Retrieval XVII, 2010

Safely selecting subsets of training data.
Proceedings of the Ninth IAPR International Workshop on Document Analysis Systems, 2010

Choosing your own adventure: automatic taxonomy generation to permit many paths.
Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

2009
A note on on-line broadcast scheduling with deadlines.
Inf. Process. Lett., 2009

Diversifying Search Results with Popular Subtopics.
Proceedings of The Eighteenth Text REtrieval Conference, 2009


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