Publications

[Google Scholar] [DBLP] [Selected Publications]

2018

  1. Lin Gong and Hongning Wang. When Sentiment Analysis Meets Social Network: A Holistic User Behavior Modeling in Opinionated Data. The 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2018), 2018. (to appear)
  2. Elaheh Sadredini, Deyuan Guo, Chunkun Bo, Reza Rahimi, Hongning Wang and Kevin Skadron. A Scalable Solution for Rule-Based Part-of-Speech Tagging on Novel Hardware Accelerators. The 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2018), 2018. (to appear)
  3. Nan Wang, Yiling Jia, Yue Yin and Hongning Wang. Explainable Recommendation via Multi-Task Learning in Opinionated Text Data. The 41st International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2018), 2018. (to appear)
  4. Wasi Ahmad, Kai-Wei Chang and Hongning Wang. Intent-aware Query Obfuscation for Privacy Protection in Personalized Web Search. The 41st International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2018), 2018. (to appear)
  5. Qingyun Wu, Naveen Iyer and Hongning Wang. Learning Contextual Bandits in a Non-stationary Environment. The 41st International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2018), 2018. (to appear)
  6. Huazheng Wang, Ramsey Langley, Sonwoo Kim, Eric McCord-Snook and Hongning Wang. Efficient Exploration of Gradient Space for Online Learning to Rank. The 41st International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2018), 2018. (to appear)
  7. Puxuan Yu, Wasi Ahmad and Hongning Wang. Hide-n-Seek: An Intent-aware Privacy Protection Plugin for Personalized Web Search. The 41st International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2018), demo track, 2018. (to appear)
  8. Wasi Uddin Ahmad, Kai-Wei Chang, and Hongning Wang. Multi-Task Learning for Document Ranking and Query Suggestion. Sixth International Conference on Learning Representations (ICLR 2018), 2018. (PDF)
  9. Nipun Batra, Yiling Jia, Hongning Wang, and Kamin Whitehouse. Transferring Decomposed Tensors for Scalable Energy Breakdown across Regions. The Thirty-Second AAAI Conference on Artificial Intelligence (AAAI 2018), p740-747, 2018. (PDF)

2017

  1. Diheng Zhang, Yuling Shi, Hongning Wang, and Bethany A. Teachman. Predictors of Attrition in a Public Online Interpretation Training Program for Anxiety. 51st Annual Convention of Association for Behavioral and Cognitive Therapies (poster paper), 2017. (Poster)
  2. Qingyun Wu, Hongning Wang, Liangjie Hong and Yue Shi. Returning is Believing: Optimizing Long-term User Engagement in Recommender Systems. The 26th International Conference on Information and Knowledge Management (CIKM 2017), p1927-1936, 2017. (PDF)
  3. Yuling Shi, Zhiyong Peng and Hongning Wang. Modeling Student Learning Styles in MOOCs. The 26th International Conference on Information and Knowledge Management (CIKM 2017), p979-988, 2017. (PDF)
  4. Yue Wang, Hongning Wang and Hui Fang. Extracting User-Reported Mobile Application Defects from Online Reviews. 2017 IEEE International Conference on Data Mining Workshops (ICDMW), SENTIRE (2017), p422-429, 2017. (PDF)
  5. Hongning Wang, Rui Li, Milad Shokouhi, Hang Li, and Yi Chang. Search, Mining, and Their Applications on Mobile Devices: Introduction to the Special Issue. ACM Transactions on Information Systems (TOIS), special issue, 2017. (PDF)
  6. Renqin Cai, Chi Wang and Hongning Wang. Account for Correspondence in Commented Data. The 40th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2017), p365-374, 2017. (PDF)
  7. Derek Wu and Hongning Wang. ReviewMiner: An Aspect-based Review Analytics System. The 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, Demo Track (SIGIR 2017), p1285-1288, 2017. (PDF, link)
  8. Asif Salekin, Hongning Wang, Kristine Williams and John Stankovic. DAVE: Detecting Agitated Vocal Events. the IEEE 2nd International Conference on Connected Health: Applications, Systems and Engineering Technologies (IEEE CHASE 2017), p157-166, 2017. (PDF)
  9. Lin Gong, Benjamin Haines and Hongning Wang. Clustered Model Adaptation for Personalized Sentiment Analysis. The 26th International World Wide Web Conference (WWW 2017), p937-946, 2017. (PDF, Slides, code)
  10. Sarah Masud Preum, Abu Sayeed Mondol, Meiyi Ma, Hongning Wang and John A. Stankovic. Preclude: Conflict Detection in Textual Health Advice. The 15th IEEE International Conference on Pervasive Computing and Communications (PerCom 2017), p286-297. (PDF)
  11. Huazheng Wang, Qingyun Wu and Hongning Wang. Factorization Bandits for Interactive Recommendation. The Thirty-First AAAI Conference on Artificial Intelligence (AAAI 2017). (PDF, Supplement, code)
  12. Nipun Batra, Hongning Wang, Amarjeet Singh and Kamin Whitehouse. Matrix Factorisation for Scalable Energy Breakdown. The Thirty-First AAAI Conference on Artificial Intelligence (AAAI 2017). (PDF)

2016

  1. Huazheng Wang, Qingyun Wu and Hongning Wang. Learning Hidden Features for Contextual Bandits. The 25th ACM International Conference on Information and Knowledge Management (CIKM 2016), p1633-1642, 2016. (PDF, code)
  2. Lin Gong, Mohammad Al Boni and Hongning Wang. Modeling Social Norms Evolution for Personalized Sentiment Classification. The 54th Annual Meeting of the Association for Computational Linguistics (ACL'2016), p855-865, 2016. (PDF, code)
  3. Qingyun Wu, Huazheng Wang, Quanquan Gu and Hongning Wang. Contextual Bandits in A Collaborative Environment. The 39th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'2016), p529-538, 2016. (PDF, Slides, code)
  4. Wasi Ahmad, Md Masudur Rahman and Hongning Wang. Topic Model based Privacy Protection in Personalized Web Search. The 39th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'2016), p1025-1028, 2016. (PDF)
  5. Shengwen Peng, Ronghui You, Hongning Wang, Chengxiang Zhai, Hiroshi Mamitsuka and Shanfeng Zhu. DeepMeSH: Deep Semantic Representation for Improving Large-scale MeSH Indexing. The 23th Intelligent Systems for Molecular Biology (ISMB'2016), p70-79, 2016. (PDF)
  6. Md Mustafizur Rahman and Hongning Wang. Hidden Topic Sentiment Model. The 25th International World-Wide Web Conference (WWW'2016), p155-165, 2016. (PDF, Slides)

2015

  1. Peilin Yang, Hongning Wang, Hui Fang and Deng Cai. Opinions matter: a general approach to user profile modeling for contextual suggestion. Information Retrieval Journal, pp 1-25, DOI 10.1007/s10791-015-9278-7. (Link)
  2. Dezhi Hong, Hongning Wang, Jorge Ortiz and Kamin Whitehouse. The Building Adapter: Towards Quickly Applying Building Analytics at Scale. ACM BuildSys 2015, p123-132, 2015. (Best Paper Candidate) (PDF, slides)
  3. Asif Salekin, Hongning Wang and John Stankovic. KinVocal: Detecting Agitated Vocal Events. The 13th ACM Conference on Embedded Networked Sensor Systems (SenSys 2015), p459-460, 2015. (PDF)
  4. Dezhi Hong, Hongning Wang and Kamin Whitehouse. Clustering-based Active Learning on Sensor Type Classification in Buildings. The 24th ACM International Conference on Information and Knowledge Management (CIKM'2015), p363-372, 2015. (PDF, slides)
  5. Mohammad Al Boni, Keira Qi Zhou, Hongning Wang and Matthew S. Gerber. Model Adaptation for Personalized Opinion Analysis. The 53th Annual Meeting of the Association for Computational Linguistics (ACL'2015), p769-774, 2015. (PDF)

2014

  1. Hongning Wang, Yang Song, Ming-Wei Chang, Xiaodong He, Ahmed Hassan and Ryen White. Modeling Action-level Satisfaction for Search Task Satisfaction Prediction. The 37th Annual ACM SIGIR Conference (SIGIR'2014), p123-132, 2014. (PDF, slides)
  2. Yanen Li, Anlei Dong, Hongning Wang, Hongbo Deng, Yi Chang and ChengXiang Zhai. A Two-dimensional Click Model for Query Auto-completion. The 37th Annual ACM SIGIR Conference (SIGIR'2014), p455-464, 2014. (PDF, slides)
  3. Hongning Wang, Anlei Dong and Yi Chang. Joint Learning Approach from Clickthroughs, book chapter in Bo Long and Yi Chang (eds), Relevance Ranking for Vertical Search Engines, Morgan Kaufmann Publisher, 2014, p10-26.
  4. Hongning Wang, ChengXiang Zhai, Feng Liang, Anlei Dong and Yi Chang. User Modeling in Search Logs via A Nonparametric Bayesian Approach. The 7th ACM Web Search and Data Mining Conference (WSDM'2014), p203-212, 2014. (PDF, slides)
  5. Yang Song, Hongning Wang and Xiaodong He. Adapting Deep RankNet for Personalized Search. The 7th ACM Web Search and Data Mining Conference (WSDM'2014), p83-92, 2014. (PDF, slides)

2013

  1. Hongning Wang, Xiaodong He, Ming-Wei Chang, Yang Song, Ryen White and Wei Chu. Personalized Ranking Model Adaptation for Web Search. The 36th Annual ACM SIGIR Conference (SIGIR'2013), p323-332, 2013. (PDF, slides)
  2. Hongning Wang, ChengXiang Zhai, Anlei Dong and Yi Chang. Content-Aware Click Modeling. The 23rd International World-Wide Web Conference (WWW'2013), p1365-1376, 2013. (PDF, slides, codes)
  3. Hongning Wang, Yang Song, Ming-Wei Chang, Xiaodong He, Ryen White and Wei Chu. Learning to Extract Cross-Session Search Tasks. The 23rd International World-Wide Web Conference (WWW'2013), p1353-1364, 2013. (PDF, slides)
  4. Yang Song, Hao Ma, Hongning Wang and Kuansan Wang. Exploring and Exploiting User Search Behaviors on Mobile and Tablet Devices to Improve Search Relevance. The 23rd International World-Wide Web Conference (WWW'2013), p1201-1212, 2013. (PDF)
  5. Ryen White, Wei Chu, Ahmed Hassan, Xiaodong He, Yang Song and Hongning Wang. Enhancing Personalized Search by Mining and Modeling Task Behavior. The 23rd International World-Wide Web Conference (WWW'2013), p1411-1420, 2013. (PDF)
  6. Chi Wang, Hongning Wang, Jialu Liu, Ming Ji, Lu Su, Yuguo Chen, Jiawei Han. On the Detectability of Node Grouping in Networks. SIAM International Conference on Data Mining (SDM'2013), p713-721, 2013.
  7. Hongbo Deng, Jiawei Han, Hao Li, Heng Ji, Hongning Wang and Yue Lu. Exploring and Inferring User-User Pseudo-Friendship for Sentiment Analysis with Heterogeneous Networks. SIAM International Conference on Data Mining (SDM'2013), p378-386, 2013.
  8. Mianwei Zhou, Hongning Wang and Kevin Chen-Chuan Chang. Learning to Rank from Distant Supervision: Exploiting Noisy Redundancy for Relational Entity Search. The 29th IEEE International Conference on Data Engineering (ICDE'2013)

2012

  1. Yue Lu, Hongning Wang, ChengXiang Zhai and Dan Roth. Unsupervised Discovery of Opposing Opinion Networks From Forum Discussions. The 21st ACM International Conference on Information and Knowledge Management (CIKM'2012), p1642-1646, 2012. (PDF)
  2. Hongning Wang, Anlei Dong, Lihong Li, Yi Chang and Evgeniy Gabrilovich. Joint Relevance and Freshness Learning From Clickthroughs for News Search. The 2012 World Wide Web Conference (WWW'2012), p579-588, 2012. (PDF, slides)

2011

  1. Hongning Wang, Yue Lu and ChengXiang Zhai. Latent Aspect Rating Analysis without Aspect Keyword Supervision. The 17th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'2011), P618-626, 2011. (PDF, slides, Demo)
  2. Hongning Wang, Chi Wang, ChengXiang Zhai and Jiawei Han. Learning Online Discussion Structures by Conditional Random Fields. The 34th Annual International ACM SIGIR Conference (SIGIR'2011), P435-444, 2011. (PDF, slides, codes)
  3. Hongning Wang, Duo Zhang and ChengXiang Zhai. Structural Topic Model for Latent Topical Structure Analysis. The 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies (ACL HTL'2011), P1526-1535, 2011. (PDF, codes)

2010

  1. Yue Lu, Huizhong Duan, Hongning Wang and ChengXiang Zhai. Exploiting Structured Ontology to Organize Scattered Online Opinions. The 23rd International Conference on Computational Linguistics (COLING'2010) P734--742, 2010. (PDF)
  2. Hongning Wang, Yue Lu and Chengxiang Zhai. Latent Aspect Rating Analysis on Review Text Data: A Rating Regression Approach. The 16th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'2010), p783-792, 2010. (PDF, slides, Demo, codes)

Before 2010

  1. Hongning Wang, Minlie Huang and Xiaoyan Zhu. Extract Interaction Detection Methods from the Biological Literature. BMC Bioinformatics 2009, 10(Suppl 1):S55. (PDF)
  2. Hongning Wang, Minlie Huang and Xiaoyan Zhu. A Generative Probabilistic Model for Multi-Label Classification. In Proceedings of the IEEE 8th International Conference on Data Mining (IEEE ICDM 2008), p628-637, 2008. (PDF)
  3. Hongning Wang, Minlie Huang, Shilin Ding and Xiaoyan Zhu. Exploiting and Integrating Rich Features for Biological Literature Classification. BMC Bioinformatics. 2008; 9(Suppl 3): S4. (PDF)
  4. Minlie Huang, Shilin Ding, Hongning Wang and Xiaoyan Zhu. Mining Physical Protein-protein Interactions from Literature. Genome Biology 2008, 9(Suppl 2):S12. (PDF);