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2020 – today
- 2022
[j9]Ye Gao, Asif Salekin, Kristina Gordon, Karen Rose, Hongning Wang, John A. Stankovic:
Emotion Recognition Robust to Indoor Environmental Distortions and Non-targeted Emotions Using Out-of-distribution Detection. ACM Trans. Comput. Heal. 3(2): 15:1-15:22 (2022)- [j8]Ye Gao
, Jason Jabbour, Emma C. Schlegel, Meiyi Ma, Matthew McCall, Lahiru N. S. Wijayasingha, Eunjung Ko, Kristina Gordon, Karen Rose, Hongning Wang, John A. Stankovic:
Out-of-the-Box Deployment to Support Research on In-Home Care of Alzheimer's Patients. IEEE Pervasive Comput. 21(1): 37-47 (2022) - [c99]Fan Yao, Chuanhao Li, Denis Nekipelov, Hongning Wang, Haifeng Xu:
Learning the Optimal Recommendation from Explorative Users. AAAI 2022: 9457-9465 - [c98]Chuanhao Li, Hongning Wang:
Asynchronous Upper Confidence Bound Algorithms for Federated Linear Bandits. AISTATS 2022: 6529-6553 - [c97]Huazheng Wang, Haifeng Xu, Hongning Wang:
When Are Linear Stochastic Bandits Attackable? ICML 2022: 23254-23273 - [c96]Fan Yao, Chuanhao Li, Denis Nekipelov, Hongning Wang, Haifeng Xu:
Learning from a Learning User for Optimal Recommendations. ICML 2022: 25382-25406 - [c95]Nan Wang, Hongning Wang, Maryam Karimzadehgan, Branislav Kveton, Craig Boutilier:
IMO^3: Interactive Multi-Objective Off-Policy Optimization. IJCAI 2022: 3523-3529 - [c94]Lu Lin, Ethan Blaser, Hongning Wang:
Graph Structural Attack by Perturbing Spectral Distance. KDD 2022: 989-998 - [c93]Yiling Jia, Hongning Wang:
Scalable Exploration for Neural Online Learning to Rank with Perturbed Feedback. SIGIR 2022: 533-545 - [c92]Lu Lin, Ethan Blaser, Hongning Wang:
Graph Embedding with Hierarchical Attentive Membership. WSDM 2022: 582-590 - [c91]Yiling Jia, Hongning Wang:
Learning Neural Ranking Models Online from Implicit User Feedback. WWW 2022: 431-441 - [c90]Nan Wang, Lu Lin, Jundong Li, Hongning Wang:
Unbiased Graph Embedding with Biased Graph Observations. WWW 2022: 1423-1433 - [c89]Peng Wang, Renqin Cai, Hongning Wang:
Graph-based Extractive Explainer for Recommendations. WWW 2022: 2163-2171 - [c88]Aobo Yang, Nan Wang, Renqin Cai, Hongbo Deng, Hongning Wang:
Comparative Explanations of Recommendations. WWW 2022: 3113-3123 - [i42]Yiling Jia, Hongning Wang:
Learning Neural Ranking Models Online from Implicit User Feedback. CoRR abs/2201.06658 (2022) - [i41]Nan Wang, Hongning Wang, Maryam Karimzadehgan, Branislav Kveton, Craig Boutilier:
IMO3: Interactive Multi-Objective Off-Policy Optimization. CoRR abs/2201.09798 (2022) - [i40]Yiling Jia, Weitong Zhang, Dongruo Zhou, Quanquan Gu, Hongning Wang:
Learning Contextual Bandits Through Perturbed Rewards. CoRR abs/2201.09910 (2022) - [i39]Ye Gao, Brian Baucom, Karen Rose, Kristina Gordon, Hongning Wang, John A. Stankovic:
The Enforced Transfer: A Novel Domain Adaptation Algorithm. CoRR abs/2201.10001 (2022) - [i38]Chuanhao Li, Hongning Wang:
Communication Efficient Federated Learning for Generalized Linear Bandits. CoRR abs/2202.01087 (2022) - [i37]Fan Yao, Chuanhao Li, Denis Nekipelov, Hongning Wang, Haifeng Xu:
Learning from a Learning User for Optimal Recommendations. CoRR abs/2202.01879 (2022) - [i36]Peng Wang, Renqin Cai, Hongning Wang:
Graph-based Extractive Explainer for Recommendations. CoRR abs/2202.09730 (2022) - [i35]Zhendong Chu, Hongning Wang, Yun Xiao, Bo Long, Lingfei Wu:
Meta Policy Learning for Cold-Start Conversational Recommendation. CoRR abs/2205.11788 (2022) - [i34]Chuanhao Li, Huazheng Wang, Mengdi Wang, Hongning Wang:
Communication Efficient Distributed Learning for Kernelized Contextual Bandits. CoRR abs/2206.04835 (2022) - [i33]Yiling Jia, Hongning Wang:
Scalable Exploration for Neural Online Learning to Rank with Perturbed Feedback. CoRR abs/2206.05954 (2022) - [i32]Anat Hashavit, Hongning Wang, Tamar Stern, Sarit Kraus:
Not Just Skipping. Understanding the Effect of Sponsored Content on Users' Decision-Making in Online Health Search. CoRR abs/2207.04445 (2022) - 2021
- [c87]Zhendong Chu, Jing Ma, Hongning Wang:
Learning from Crowds by Modeling Common Confusions. AAAI 2021: 5832-5840 - [c86]Chuanhao Li, Qingyun Wu, Hongning Wang:
Unifying Clustered and Non-stationary Bandits. AISTATS 2021: 1063-1071 - [c85]Zhendong Chu, Hongning Wang:
Improve Learning from Crowds via Generative Augmentation. KDD 2021: 167-175 - [c84]Andrew Villca-Rocha, Max Zheng, Chengzhu Duan, Hongning Wang:
Towards semantic search in building sensor data. BuildSys@SenSys 2021: 164-167 - [c83]Anat Hashavit, Hongning Wang, Raz Lin, Tamar Stern, Sarit Kraus:
Understanding and Mitigating Bias in Online Health Search. SIGIR 2021: 265-274 - [c82]Renqin Cai, Jibang Wu, Aidan San, Chong Wang, Hongning Wang:
Category-aware Collaborative Sequential Recommendation. SIGIR 2021: 388-397 - [c81]Chuanhao Li, Qingyun Wu, Hongning Wang:
When and Whom to Collaborate with in a Changing Environment: A Collaborative Dynamic Bandit Solution. SIGIR 2021: 1410-1419 - [c80]Huazheng Wang, Yiling Jia, Hongning Wang:
Interactive Information Retrieval with Bandit Feedback. SIGIR 2021: 2658-2661 - [c79]Nan Wang, Zhen Qin, Xuanhui Wang, Hongning Wang:
Non-Clicks Mean Irrelevant? Propensity Ratio Scoring As a Correction. WSDM 2021: 481-489 - [c78]Aobo Yang, Nan Wang, Hongbo Deng, Hongning Wang:
Explanation as a Defense of Recommendation. WSDM 2021: 1029-1037 - [c77]Yiling Jia, Huazheng Wang, Stephen Guo, Hongning Wang:
PairRank: Online Pairwise Learning to Rank by Divide-and-Conquer. WWW 2021: 146-157 - [i31]Aobo Yang, Nan Wang, Hongbo Deng, Hongning Wang:
Explanation as a Defense of Recommendation. CoRR abs/2101.09656 (2021) - [i30]Fan Yao, Renqin Cai, Hongning Wang:
Reversible Action Design for Combinatorial Optimization with Reinforcement Learning. CoRR abs/2102.07210 (2021) - [i29]Yiling Jia, Huazheng Wang, Stephen Guo, Hongning Wang:
PairRank: Online Pairwise Learning to Rank by Divide-and-Conquer. CoRR abs/2103.00368 (2021) - [i28]Huazheng Wang, Haifeng Xu, Chuanhao Li, Zhiyuan Liu, Hongning Wang:
Incentivizing Exploration in Linear Bandits under Information Gap. CoRR abs/2104.03860 (2021) - [i27]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) - [i26]Zhendong Chu, Hongning Wang:
Improve Learning from Crowds via Generative Augmentation. CoRR abs/2107.10449 (2021) - [i25]Chuanhao Li, Hongning Wang:
Asynchronous Upper Confidence Bound Algorithms for Federated Linear Bandits. CoRR abs/2110.01463 (2021) - [i24]Fan Yao, Chuanhao Li, Denis Nekipelov, Hongning Wang, Haifeng Xu:
Learning the Optimal Recommendation from Explorative Users. CoRR abs/2110.03068 (2021) - [i23]Huazheng Wang, Haifeng Xu, Hongning Wang:
When Are Linear Stochastic Bandits Attackable? CoRR abs/2110.09008 (2021) - [i22]Nan Wang, Lu Lin, Jundong Li, Hongning Wang:
Unbiased Graph Embedding with Biased Graph Observations. CoRR abs/2110.13957 (2021) - [i21]Lu Lin, Ethan Blaser, Hongning Wang:
Graph Embedding with Hierarchical Attentive Membership. CoRR abs/2111.00604 (2021) - [i20]Aobo Yang, Nan Wang, Renqin Cai, Hongbo Deng, Hongning Wang:
Comparative Explanations of Recommendations. CoRR abs/2111.00670 (2021) - [i19]Lu Lin, Ethan Blaser, Hongning Wang:
Graph Structural Attack by Spectral Distance. CoRR abs/2111.00684 (2021) - [i18]Yiling Jia, Hongning Wang:
Calibrating Explore-Exploit Trade-off for Fair Online Learning to Rank. CoRR abs/2111.00735 (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]