Publications
2023
[CHIIR'23] Jiaming Qu, Jaime Arguello, Yue Wang Understanding the Cognitive Influences of Interpretability Features on How Users Scrutinize Machine-Predicted Categories Paper Presentation Online demo acceptance rate: 39.4%
2022
[FAccT'22] Jiaming Qu. New Frontier of Interactive and Interpretable Machine Learning (Doctoral Consortium)
2021
[CIKM'21] Jiaming Qu, Jaime Arguello, Yue Wang A Study of Explainability Features to Scrutinize Faceted Filtering Results Paper Presentation Online demo acceptance rate: 21.7%
[ECIR'21] Jiaming Qu, Jaime Arguello, Yue Wang A Deep Analysis of an Explainable RetrievalModel for Precision Medicine Literature Search Paper Presentation acceptance rate: 24%
2020
[SIGIR'20] Jiaming Qu, Jaime Arguello, Yue Wang Towards Explainable Retrieval Models for Precision Medicine Literature Search Paper Code Presentation acceptance rate: 30%
2019
[TREC'19] Jiaming Qu, Yue Wang UNC SILS at TREC 2019 Precision Medicine Track (Technical Report) Paper
[TREC'19] Jiaming Qu, Yue Wang UNC SILS at TREC 2019 News Track (Technical Report) Paper
2018
[PEARC'18] Xiaopeng Lu, Jiaming Qu, Yongxing Jiang, Yanbing Zhao. Should I Invest it? Predicting Future Success of Yelp Restaurants Paper Presentation
Research when I was an undergraduate student ;-)
Ling Zhang, Jiaming Qu, Hu Sheng, Jiameng Yang, Huijun Wu, Zengwei Yuan. Urban mining potentials of university: In-use and hibernating stocks of personal electronics and students’ disposal behaviors, Resources, Conservation and Recycling 143 (2019): 210-217. Paper
Wang, Lei, Qingjian Zhao, Zuomin Wen, Jiaming Qu. RAFFIA: Short-term forest fire danger rating prediction via multiclass logistic regression, Sustainability 10, no. 12 (2018): 4620. Paper