![profile picture](https://assets.underline.io/profile/114950/square_avatar/medium-1aa25055623f91a2bbd510a7f59be945.jpg)
Hongning Wang
reinforcement learning
fairness
meta learning
machine learning
probabilistic models
human evaluation
online learning & bandits
adversarial learning & robustness
personalized text generation
12
presentations
SHORT BIO
I am an associate professor in the Department of Computer Science of University of Virginia. My research interest includes data mining, machine learning, and information retrieval, with a special emphasis on computational user behavior modeling. I graduated from the CS@UIUC in May 2014. My research group's homepage is at HCDM@UVa.
Presentations
![](https://assets.underline.io/lecture/94035/poster/medium-7a7b61dd6c7feb466a5ad9cd30ce5355.jpg)
Stealthy Adversarial Attacks on Stochastic Multi-Armed Bandits
Zhiwei Wang and 2 other authors
![](https://assets.underline.io/lecture/93685/poster/medium-15359c232ad78c4857c55ac97b67d827.jpg)
Meta-Reinforcement Learning via Exploratory Task Clustering
Zhendong Chu and 2 other authors
![](https://assets.underline.io/lecture/88930/poster_document_thumbnail_extract/medium-36b954bba63d86ceebdfa70619bace1b.jpg)
COFFEE: Counterfactual Fairness for Personalized Text Generation in Explainable Recommendation
Nan Wang and 7 other authors