News

We have FOUR papers accepted by ICML 2023. 

We have one paper accepted by ICLR 2023.

Qi will serve as an Area Chair of ICML 2023. 

We have one paper accepted by AISTATS 2023. 

We have four papers accepted by AAAI 2023. 

We have one paper accepted by KDD (research track) 2022. 

We have one paper accepted by IJCAI 2022 as long oral. 

We have three papers accepted CVPR 2022.

Qi will serve as an area chair of NeurIPS 2022.

We have one paper accepted by AISTATS 2022.

We have one paper accepted by AAAI 2022.

One paper has been accepted by NeurIPS 2021. 

We have two papers accepted by ICCV 2021, including one oral. 

We have two papers accepted by ICDM 2021. 

Qi will serve as an Area Chair of NeurIPS 2021. 

Two papers have been accepted by the 24th International Conference on
Artificial Intelligence and Statistics (AISTATS 2021). 

The paper "A Continual Learning Framework for Uncertainty-Aware Interactive Image Segmentation" has been accepted by AAAI 2021. 

Two papers have been accepted by the Thirty-forth Conference on Neural Information Processing Systems (NeurIPS 2020).

The paper "Uncertainty-based Traffic Accident Anticipation with Spatio-Temporal Relational Learning” has been accepted by ACM Multimedia 2020.

The Mining Lab welcomes three new PhD students joining the lab starting from fall 2020.

We have a paper accepted by the Thirty-third Conference on Neural Information Processing Systems (NeurIPS 2019).

A Multimodal Dynamic Bayesian Learning Framework For Complex Decision-Making” As The PI, ~$1.6M, October 2018- September 2022

We Have A Paper Accepted By The IEEE International On Data Mining (ICDM 2018).

Qi Has Been Awarded An NSF CHS Award: “Utilizing Synergy Between Human And Computer Information Processing For Complex Visual Information Organization And Use “, As The PI, $497,424.00, July 2018- June 2021.

The Paper “Modeling Physicians’ Utterances To Explore Diagnostic Decision-Making” Has Been Accepted By The International Joint Conference On Artificial Intelligence (IJCAI 2017).

“Discovering A Domain Knowledge Representation For Image Grouping: Multimodal Data Modeling, Fusion, And Interactive Learning”. Xuan Will Join Amazon’s Deep Learning Group As An Applied Researcher