Hongning Wang

According to our database1, Hongning Wang authored at least 59 papers between 2008 and 2019.

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Bibliography

2019
Learning Personalized Topical Compositions with Item Response Theory.
Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

2018
Hide-n-Seek: An Intent-aware Privacy Protection Plugin for Personalized Web Search.
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

Learning Contextual Bandits in a Non-stationary Environment.
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

Explainable Recommendation via Multi-Task Learning in Opinionated Text Data.
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

Efficient Exploration of Gradient Space for Online Learning to Rank.
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

Intent-aware Query Obfuscation for Privacy Protection in Personalized Web Search.
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

Plaster: an integration, benchmark, and development framework for metadata normalization methods.
Proceedings of the 5th Conference on Systems for Built Environments, 2018

Bandit Learning with Implicit Feedback.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

A Scalable Solution for Rule-Based Part-of-Speech Tagging on Novel Hardware Accelerators.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

When Sentiment Analysis Meets Social Network: A Holistic User Behavior Modeling in Opinionated Data.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Modeling Sequential Online Interactive Behaviors with Temporal Point Process.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

Transferring Decomposed Tensors for Scalable Energy Breakdown Across Regions.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Search, Mining, and Their Applications on Mobile Devices: Introduction to the Special Issue.
ACM Trans. Inf. Syst., 2017

Preclude2 : Personalized conflict detection in heterogeneous health applications.
Pervasive and Mobile Computing, 2017

Clustered Model Adaption for Personalized Sentiment Analysis.
Proceedings of the 26th International Conference on World Wide Web, 2017

ReviewMiner: An Aspect-based Review Analytics System.
Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

Accounting for the Correspondence in Commented Data.
Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

Preclude: Conflict detection in textual health advice.
Proceedings of the 2017 IEEE International Conference on Pervasive Computing and Communications, 2017

Conflict detection in online textual health advice: demo abstract.
Proceedings of the 16th ACM/IEEE International Conference on Information Processing in Sensor Networks, 2017

Extracting User-Reported Mobile Application Defects from Online Reviews.
Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017

Returning is Believing: Optimizing Long-term User Engagement in Recommender Systems.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Modeling Student Learning Styles in MOOCs.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

DAVE: Detecting Agitated Vocal Events.
Proceedings of the Second IEEE/ACM International Conference on Connected Health: Applications, 2017

Factorization Bandits for Interactive Recommendation.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Matrix Factorisation for Scalable Energy Breakdown.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
DeepMeSH: deep semantic representation for improving large-scale MeSH indexing.
Bioinformatics, 2016

Hidden Topic Sentiment Model.
Proceedings of the 25th International Conference on World Wide Web, 2016

Contextual Bandits in a Collaborative Environment.
Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, 2016

Topic Model based Privacy Protection in Personalized Web Search.
Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, 2016

Learning Hidden Features for Contextual Bandits.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Modeling Social Norms Evolution for Personalized Sentiment Classification.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

2015
Opinions matter: a general approach to user profile modeling for contextual suggestion.
Inf. Retr. Journal, 2015

Demo: KinVocal: Detecting Agitated Vocal Events.
Proceedings of the 13th ACM Conference on Embedded Networked Sensor Systems, 2015

The Building Adapter: Towards Quickly Applying Building Analytics at Scale.
Proceedings of the 2nd ACM International Conference on Embedded Systems for Energy-Efficient Built Environments, 2015

Clustering-based Active Learning on Sensor Type Classification in Buildings.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

Model Adaptation for Personalized Opinion Analysis.
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

2014
Exploring and inferring user-user pseudo-friendship for sentiment analysis with heterogeneous networks.
Statistical Analysis and Data Mining, 2014

User modeling in search logs via a nonparametric bayesian approach.
Proceedings of the Seventh ACM International Conference on Web Search and Data Mining, 2014

Adapting deep RankNet for personalized search.
Proceedings of the Seventh ACM International Conference on Web Search and Data Mining, 2014

Modeling action-level satisfaction for search task satisfaction prediction.
Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2014

A two-dimensional click model for query auto-completion.
Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2014

2013
Enhancing personalized search by mining and modeling task behavior.
Proceedings of the 22nd International World Wide Web Conference, 2013

Content-aware click modeling.
Proceedings of the 22nd International World Wide Web Conference, 2013

Learning to extract cross-session search tasks.
Proceedings of the 22nd International World Wide Web Conference, 2013

Exploring and exploiting user search behavior on mobile and tablet devices to improve search relevance.
Proceedings of the 22nd International World Wide Web Conference, 2013

Personalized ranking model adaptation for web search.
Proceedings of the 36th International ACM SIGIR conference on research and development in Information Retrieval, 2013

Exploring and Inferring User-User Pseudo-Friendship for Sentiment Analysis with Heterogeneous Networks.
Proceedings of the 13th SIAM International Conference on Data Mining, 2013

On the Detectability of Node Grouping in Networks.
Proceedings of the 13th SIAM International Conference on Data Mining, 2013

Learning to rank from distant supervision: Exploiting noisy redundancy for relational entity search.
Proceedings of the 29th IEEE International Conference on Data Engineering, 2013

2012
Joint relevance and freshness learning from clickthroughs for news search.
Proceedings of the 21st World Wide Web Conference 2012, 2012

Unsupervised discovery of opposing opinion networks from forum discussions.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

2011
Learning online discussion structures by conditional random fields.
Proceedings of the Proceeding of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2011

Latent aspect rating analysis without aspect keyword supervision.
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

Structural Topic Model for Latent Topical Structure Analysis.
Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, 2011

2010
Latent aspect rating analysis on review text data: a rating regression approach.
Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

Exploiting Structured Ontology to Organize Scattered Online Opinions.
Proceedings of the COLING 2010, 2010

2009
Extract interaction detection methods from the biological literature.
BMC Bioinformatics, 2009

2008
Exploiting and integrating rich features for biological literature classification.
BMC Bioinformatics, 2008

A Generative Probabilistic Model for Multi-label Classification.
Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008


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