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2020 – today
- 2021
[c79]Chuanhao Li, Qingyun Wu, Hongning Wang:
Unifying Clustered and Non-stationary Bandits. AISTATS 2021: 1063-1071- [c78]Nan Wang, Zhen Qin, Xuanhui Wang, Hongning Wang:
Non-Clicks Mean Irrelevant? Propensity Ratio Scoring As a Correction. WSDM 2021: 481-489 - [c77]Aobo Yang, Nan Wang, Hongbo Deng, Hongning Wang:
Explanation as a Defense of Recommendation. WSDM 2021: 1029-1037 - [i22]Aobo Yang, Nan Wang, Hongbo Deng, Hongning Wang:
Explanation as a Defense of Recommendation. CoRR abs/2101.09656 (2021) - [i21]Fan Yao, Renqin Cai, Hongning Wang:
Reversible Action Design for Combinatorial Optimization with Reinforcement Learning. CoRR abs/2102.07210 (2021) - [i20]Yiling Jia, Huazheng Wang, Stephen Guo, Hongning Wang:
PairRank: Online Pairwise Learning to Rank by Divide-and-Conquer. CoRR abs/2103.00368 (2021) - [i19]Huazheng Wang, Haifeng Xu, Chuanhao Li, Zhiyuan Liu, Hongning Wang:
Incentivizing Exploration in Linear Bandits under Information Gap. CoRR abs/2104.03860 (2021) - [i18]Chuanhao Li, Qingyun Wu, Hongning Wang:
When and Whom to Collaborate with in a Changing Environment: A Collaborative Dynamic Bandit Solution. CoRR abs/2104.07150 (2021) - 2020
- [c76]Shuheng Li, Dezhi Hong, Hongning Wang:
Relation Inference among Sensor Time Series in Smart Buildings with Metric Learning. AAAI 2020: 4683-4690 - [c75]Rithwik Kukunuri, Nipun Batra, Hongning Wang:
Lessons and Insights from Super-Resolution of Energy Data. COMAD/CODS 2020: 355-356 - [c74]Jing Ma, Dezhi Hong, Hongning Wang:
Selective Sampling for Sensor Type Classification in Buildings. IPSN 2020: 241-252 - [c73]Nan Wang, Hongning Wang:
Directional Multivariate Ranking. KDD 2020: 85-94 - [c72]Lu Lin, Hongning Wang:
Graph Attention Networks over Edge Content-Based Channels. KDD 2020: 1819-1827 - [c71]Qingyun Wu, Huazheng Wang, Hongning Wang:
Learning by Exploration: New Challenges in Real-World Environments. KDD 2020: 3575-3576 - [c70]Huazheng Wang, Qian Zhao, Qingyun Wu, Shubham Chopra, Abhinav Khaitan, Hongning Wang:
Global and Local Differential Privacy for Collaborative Bandits. RecSys 2020: 150-159 - [c69]Rithwik Kukunuri, Nipun Batra, Hongning Wang:
An Open Problem: Energy Data Super-Resolution. NILM@SenSys 2020: 99-102 - [c68]Ye Gao, Meiyi Ma, Kristina Gordon, Karen Rose, Hongning Wang, John A. Stankovic:
A monitoring, modeling, and interactive recommendation system for in-home caregivers: demo abstract. SenSys 2020: 587-588 - [c67]Lin Gong
, Lu Lin, Weihao Song, Hongning Wang:
JNET: Learning User Representations via Joint Network Embedding and Topic Embedding. WSDM 2020: 205-213 - [c66]Jibang Wu, Renqin Cai, Hongning Wang:
Déjà vu: A Contextualized Temporal Attention Mechanism for Sequential Recommendation. WWW 2020: 2199-2209 - [i17]Jibang Wu, Renqin Cai, Hongning Wang:
Déjà vu: A Contextualized Temporal Attention Mechanism for Sequential Recommendation. CoRR abs/2002.00741 (2020) - [i16]Nan Wang, Xuanhui Wang, Hongning Wang:
Unbiased Learning to Rank via Propensity Ratio Scoring. CoRR abs/2005.08480 (2020) - [i15]Nan Wang, Hongning Wang:
Directional Multivariate Ranking. CoRR abs/2006.09978 (2020) - [i14]Chuanhao Li, Qingyun Wu, Hongning Wang:
Unifying Clustered and Non-stationary Bandits. CoRR abs/2009.02463 (2020) - [i13]Zhendong Chu, Jing Ma, Hongning Wang:
Learning from Crowds by Modeling Common Confusions. CoRR abs/2012.13052 (2020)
2010 – 2019
- 2019
- [c65]Zhendong Chu, Renqin Cai, Hongning Wang:
Accounting for Temporal Dynamics in Document Streams. CIKM 2019: 1813-1822 - [c64]Yiling Jia, Nipun Batra, Hongning Wang, Kamin Whitehouse:
Active Collaborative Sensing for Energy Breakdown. CIKM 2019: 1943-1952 - [c63]Huazheng Wang, Zhe Gan, Xiaodong Liu, Jingjing Liu, Jianfeng Gao, Hongning Wang:
Adversarial Domain Adaptation for Machine Reading Comprehension. EMNLP/IJCNLP (1) 2019: 2510-2520 - [c62]Qingyun Wu, Zhige Li, Huazheng Wang, Wei Chen, Hongning Wang:
Factorization Bandits for Online Influence Maximization. KDD 2019: 636-646 - [c61]Xueying Bai, Jian Guan, Hongning Wang:
A Model-Based Reinforcement Learning with Adversarial Training for Online Recommendation. NeurIPS 2019: 10734-10745 - [c60]Lu Lin, Zheng Luo, Dezhi Hong, Hongning Wang:
Sequential Learning with Active Partial Labeling for Building Metadata. BuildSys@SenSys 2019: 189-192 - [c59]Dezhi Hong, Renqin Cai, Hongning Wang, Kamin Whitehouse:
Learning from Correlated Events for Equipment Relation Inference in Buildings. BuildSys@SenSys 2019: 203-212 - [c58]Yiyi Tao, Yiling Jia, Nan Wang, Hongning Wang:
The FacT: Taming Latent Factor Models for Explainability with Factorization Trees. SIGIR 2019: 295-304 - [c57]Wasi Uddin Ahmad, Kai-Wei Chang, Hongning Wang:
Context Attentive Document Ranking and Query Suggestion. SIGIR 2019: 385-394 - [c56]Huazheng Wang, Sonwoo Kim, Eric McCord-Snook, Qingyun Wu, Hongning Wang:
Variance Reduction in Gradient Exploration for Online Learning to Rank. SIGIR 2019: 835-844 - [c55]Lu Lin, Lin Gong, Hongning Wang:
Learning Personalized Topical Compositions with Item Response Theory. WSDM 2019: 609-617 - [c54]Qingyun Wu, Huazheng Wang, Yanen Li, Hongning Wang:
Dynamic Ensemble of Contextual Bandits to Satisfy Users' Changing Interests. WWW 2019: 2080-2090 - [c53]Yiling Jia, Nipun Batra, Hongning Wang, Kamin Whitehouse:
A Tree-Structured Neural Network Model for Household Energy Breakdown. WWW 2019: 2872-2878 - [i12]Yiyi Tao, Yiling Jia, Nan Wang, Hongning Wang:
The FacT: Taming Latent Factor Models for Explainability with Factorization Trees. CoRR abs/1906.02037 (2019) - [i11]Wasi Uddin Ahmad, Kai-Wei Chang, Hongning Wang:
Context Attentive Document Ranking and Query Suggestion. CoRR abs/1906.02329 (2019) - [i10]Qingyun Wu, Zhige Li, Huazheng Wang, Wei Chen, Hongning Wang:
Factorization Bandits for Online Influence Maximization. CoRR abs/1906.03737 (2019) - [i9]Huazheng Wang, Sonwoo Kim, Eric McCord-Snook, Qingyun Wu, Hongning Wang:
Variance Reduction in Gradient Exploration for Online Learning to Rank. CoRR abs/1906.03766 (2019) - [i8]Huazheng Wang, Zhe Gan, Xiaodong Liu, Jingjing Liu, Jianfeng Gao, Hongning Wang:
Adversarial Domain Adaptation for Machine Reading Comprehension. CoRR abs/1908.09209 (2019) - [i7]Yiling Jia, Nipun Batra, Hongning Wang, Kamin Whitehouse:
Active Collaborative Sensing for Energy Breakdown. CoRR abs/1909.00525 (2019) - [i6]Nan Wang, Hongning Wang:
BPMR: Bayesian Probabilistic Multivariate Ranking. CoRR abs/1909.08737 (2019) - [i5]Xueying Bai, Jian Guan, Hongning Wang:
Model-Based Reinforcement Learning with Adversarial Training for Online Recommendation. CoRR abs/1911.03845 (2019) - [i4]Lin Gong, Lu Lin, Weihao Song, Hongning Wang:
JNET: Learning User Representations via Joint Network Embedding and Topic Embedding. CoRR abs/1912.00465 (2019) - 2018
- [c52]Nipun Batra, Yiling Jia, Hongning Wang, Kamin Whitehouse:
Transferring Decomposed Tensors for Scalable Energy Breakdown Across Regions. AAAI 2018: 740-747 - [c51]Renqin Cai, Xueying Bai, Zhenrui Wang, Yuling Shi, Parikshit Sondhi, Hongning Wang:
Modeling Sequential Online Interactive Behaviors with Temporal Point Process. CIKM 2018: 873-882 - [c50]Wasi Uddin Ahmad, Kai-Wei Chang, Hongning Wang:
Multi-Task Learning for Document Ranking and Query Suggestion. ICLR (Poster) 2018 - [c49]Elaheh Sadredini, Deyuan Guo, Chunkun Bo, Reza Rahimi, Kevin Skadron, Hongning Wang:
A Scalable Solution for Rule-Based Part-of-Speech Tagging on Novel Hardware Accelerators. KDD 2018: 665-674 - [c48]Lin Gong, Hongning Wang:
When Sentiment Analysis Meets Social Network: A Holistic User Behavior Modeling in Opinionated Data. KDD 2018: 1455-1464 - [c47]Yi Qi, Qingyun Wu, Hongning Wang, Jie Tang, Maosong Sun:
Bandit Learning with Implicit Feedback. NeurIPS 2018: 7287-7297 - [c46]Jason Koh, Dezhi Hong, Rajesh K. Gupta, Kamin Whitehouse, Hongning Wang, Yuvraj Agarwal:
Plaster: an integration, benchmark, and development framework for metadata normalization methods. BuildSys@SenSys 2018: 1-10 - [c45]Huazheng Wang, Ramsey Langley, Sonwoo Kim, Eric McCord-Snook, Hongning Wang:
Efficient Exploration of Gradient Space for Online Learning to Rank. SIGIR 2018: 145-154 - [c44]Nan Wang, Hongning Wang, Yiling Jia, Yue Yin:
Explainable Recommendation via Multi-Task Learning in Opinionated Text Data. SIGIR 2018: 165-174 - [c43]Wasi Uddin Ahmad, Kai-Wei Chang, Hongning Wang:
Intent-aware Query Obfuscation for Privacy Protection in Personalized Web Search. SIGIR 2018: 285-294 - [c42]Qingyun Wu, Naveen Iyer, Hongning Wang:
Learning Contextual Bandits in a Non-stationary Environment. SIGIR 2018: 495-504 - [c41]Puxuan Yu, Wasi Uddin Ahmad, Hongning Wang:
Hide-n-Seek: An Intent-aware Privacy Protection Plugin for Personalized Web Search. SIGIR 2018: 1333-1336 - [i3]Huazheng Wang, Ramsey Langley, Sonwoo Kim, Eric McCord-Snook, Hongning Wang:
Efficient Exploration of Gradient Space for Online Learning to Rank. CoRR abs/1805.07317 (2018) - [i2]Qingyun Wu, Naveen Iyer, Hongning Wang:
Learning Contextual Bandits in a Non-stationary Environment. CoRR abs/1805.09365 (2018) - [i1]Nan Wang, Hongning Wang, Yiling Jia, Yue Yin:
Explainable Recommendation via Multi-Task Learning in Opinionated Text Data. CoRR abs/1806.03568 (2018) - 2017
- [j7]Sarah Masud Preum, Md. Abu Sayeed Mondol, Meiyi Ma, Hongning Wang, John A. Stankovic:
Preclude2 : Personalized conflict detection in heterogeneous health applications. Pervasive Mob. Comput. 42: 226-247 (2017) - [j6]Hongning Wang, Rui Li, Milad Shokouhi, Hang Li, Yi Chang:
Search, Mining, and Their Applications on Mobile Devices: Introduction to the Special Issue. ACM Trans. Inf. Syst. 35(4): 29:1-29:17 (2017) - [c40]Huazheng Wang, Qingyun Wu, Hongning Wang:
Factorization Bandits for Interactive Recommendation. AAAI 2017: 2695-2702 - [c39]Nipun Batra, Hongning Wang, Amarjeet Singh, Kamin Whitehouse:
Matrix Factorisation for Scalable Energy Breakdown. AAAI 2017: 4467-4473 - [c38]Asif Salekin, Hongning Wang, Kristine Williams, John A. Stankovic:
DAVE: Detecting Agitated Vocal Events. CHASE 2017: 157-166 - [c37]Yuling Shi, Zhiyong Peng, Hongning Wang:
Modeling Student Learning Styles in MOOCs. CIKM 2017: 979-988 - [c36]Qingyun Wu, Hongning Wang, Liangjie Hong, Yue Shi:
Returning is Believing: Optimizing Long-term User Engagement in Recommender Systems. CIKM 2017: 1927-1936 - [c35]Yue Wang, Hongning Wang, Hui Fang:
Extracting User-Reported Mobile Application Defects from Online Reviews. ICDM Workshops 2017: 422-429 - [c34]Sarah Masud Preum, Md. Abu Sayeed Mondol, Meiyi Ma, Hongning Wang, John A. Stankovic:
Conflict detection in online textual health advice: demo abstract. IPSN 2017: 267-268 - [c33]Sarah Masud Preum, Md. Abu Sayeed Mondol, Meiyi Ma, Hongning Wang, John A. Stankovic:
Preclude: Conflict detection in textual health advice. PerCom 2017: 286-296 - [c32]Renqin Cai, Chi Wang, Hongning Wang:
Accounting for the Correspondence in Commented Data. SIGIR 2017: 365-374 - [c31]Derek Wu, Hongning Wang:
ReviewMiner: An Aspect-based Review Analytics System. SIGIR 2017: 1285-1288 - [c30]Lin Gong, Benjamin Haines, Hongning Wang:
Clustered Model Adaption for Personalized Sentiment Analysis. WWW 2017: 937-946 - 2016
- [j5]Shengwen Peng, Ronghui You, Hongning Wang, Chengxiang Zhai, Hiroshi Mamitsuka, Shanfeng Zhu:
DeepMeSH: deep semantic representation for improving large-scale MeSH indexing. Bioinform. 32(12): 70-79 (2016) - [c29]Lin Gong, Mohammad Al Boni, Hongning Wang:
Modeling Social Norms Evolution for Personalized Sentiment Classification. ACL (1) 2016 - [c28]Huazheng Wang, Qingyun Wu, Hongning Wang:
Learning Hidden Features for Contextual Bandits. CIKM 2016: 1633-1642 - [c27]Qingyun Wu, Huazheng Wang, Quanquan Gu, Hongning Wang:
Contextual Bandits in a Collaborative Environment. SIGIR 2016: 529-538 - [c26]Wasi Uddin Ahmad, Md. Masudur Rahman, Hongning Wang:
Topic Model based Privacy Protection in Personalized Web Search. SIGIR 2016: 1025-1028 - [c25]Md. Mustafizur Rahman, Hongning Wang:
Hidden Topic Sentiment Model. WWW 2016: 155-165 - 2015
- [j4]Peilin Yang, Hongning Wang, Hui Fang, Deng Cai:
Opinions matter: a general approach to user profile modeling for contextual suggestion. Inf. Retr. J. 18(6): 586-610 (2015) - [c24]Mohammad Al Boni, Keira Zhou, Hongning Wang, Matthew S. Gerber:
Model Adaptation for Personalized Opinion Analysis. ACL (2) 2015: 769-774 - [c23]Dezhi Hong, Hongning Wang, Kamin Whitehouse:
Clustering-based Active Learning on Sensor Type Classification in Buildings. CIKM 2015: 363-372 - [c22]Dezhi Hong, Hongning Wang, Jorge Ortiz, Kamin Whitehouse:
The Building Adapter: Towards Quickly Applying Building Analytics at Scale. BuildSys@SenSys 2015: 123-132 - [c21]Asif Salekin, Hongning Wang, John A. Stankovic:
Demo: KinVocal: Detecting Agitated Vocal Events. SenSys 2015: 459-460 - 2014
- [j3]Hongbo Deng, Jiawei Han, Hao Li, Heng Ji, Hongning Wang, Yue Lu:
Exploring and inferring user-user pseudo-friendship for sentiment analysis with heterogeneous networks. Stat. Anal. Data Min. 7(4): 308-321 (2014) - [c20]Hongning Wang, Yang Song, Ming-Wei Chang, Xiaodong He, Ahmed Hassan Awadallah, Ryen W. White:
Modeling action-level satisfaction for search task satisfaction prediction. SIGIR 2014: 123-132 - [c19]Yanen Li, Anlei Dong, Hongning Wang, Hongbo Deng, Yi Chang, ChengXiang Zhai:
A two-dimensional click model for query auto-completion. SIGIR 2014: 455-464 - [c18]Yang Song, Hongning Wang, Xiaodong He:
Adapting deep RankNet for personalized search. WSDM 2014: 83-92 - [c17]Hongning Wang, ChengXiang Zhai, Feng Liang, Anlei Dong, Yi Chang:
User modeling in search logs via a nonparametric bayesian approach. WSDM 2014: 203-212 - 2013
- [c16]Mianwei Zhou, Hongning Wang, Kevin Chen-Chuan Chang:
Learning to rank from distant supervision: Exploiting noisy redundancy for relational entity search. ICDE 2013: 829-840 - [c15]Hongbo Deng, Jiawei Han, Heng Ji, Hao Li, Yue Lu, Hongning Wang:
Exploring and Inferring User-User Pseudo-Friendship for Sentiment Analysis with Heterogeneous Networks. SDM 2013: 378-386 - [c14]Yuguo Chen, Jiawei Han, Ming Ji, Jialu Liu, Lu Su, Chi Wang, Hongning Wang:
On the Detectability of Node Grouping in Networks. SDM 2013: 713-721 - [c13]Hongning Wang, Xiaodong He, Ming-Wei Chang, Yang Song, Ryen W. White, Wei Chu:
Personalized ranking model adaptation for web search. SIGIR 2013: 323-332 - [c12]Yang Song, Hao Ma, Hongning Wang, Kuansan Wang:
Exploring and exploiting user search behavior on mobile and tablet devices to improve search relevance. WWW 2013: 1201-1212 - [c11]Hongning Wang, Yang Song, Ming-Wei Chang, Xiaodong He, Ryen W. White, Wei Chu:
Learning to extract cross-session search tasks. WWW 2013: 1353-1364 - [c10]Hongning Wang, ChengXiang Zhai, Anlei Dong, Yi Chang:
Content-aware click modeling. WWW 2013: 1365-1376 - [c9]Ryen W. White, Wei Chu, Ahmed Hassan Awadallah, Xiaodong He, Yang Song, Hongning Wang:
Enhancing personalized search by mining and modeling task behavior. WWW 2013: 1411-1420 - 2012
- [c8]Yue Lu, Hongning Wang, ChengXiang Zhai, Dan Roth:
Unsupervised discovery of opposing opinion networks from forum discussions. CIKM 2012: 1642-1646 - [c7]Hongning Wang, Anlei Dong, Lihong Li, Yi Chang, Evgeniy Gabrilovich:
Joint relevance and freshness learning from clickthroughs for news search. WWW 2012: 579-588 - 2011
- [c6]Hongning Wang, Duo Zhang, ChengXiang Zhai:
Structural Topic Model for Latent Topical Structure Analysis. ACL 2011: 1526-1535 - [c5]Hongning Wang, Yue Lu, ChengXiang Zhai:
Latent aspect rating analysis without aspect keyword supervision. KDD 2011: 618-626 - [c4]Hongning Wang, Chi Wang, ChengXiang Zhai, Jiawei Han:
Learning online discussion structures by conditional random fields. SIGIR 2011: 435-444 - 2010
- [c3]Yue Lu, Huizhong Duan, Hongning Wang, ChengXiang Zhai:
Exploiting Structured Ontology to Organize Scattered Online Opinions. COLING 2010: 734-742 - [c2]Hongning Wang, Yue Lu, Chengxiang Zhai:
Latent aspect rating analysis on review text data: a rating regression approach. KDD 2010: 783-792
2000 – 2009
- 2009
- [j2]Hongning Wang, Minlie Huang, Xiaoyan Zhu:
Extract interaction detection methods from the biological literature. BMC Bioinform. 10(S-1) (2009) - 2008
- [j1]Hongning Wang, Minlie Huang, Shilin Ding, Xiaoyan Zhu:
Exploiting and integrating rich features for biological literature classification. BMC Bioinform. 9(S-3) (2008) - [c1]Hongning Wang, Minlie Huang, Xiaoyan Zhu:
A Generative Probabilistic Model for Multi-label Classification. ICDM 2008: 628-637
Coauthor Index
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