[HCII'26] Yuan Chang, Zhu Li, Jiaming Qu. A Multi-Agent Framework for Democratizing XR Content Creation in K-12 Classrooms.

[CHIIR'26] Jiaming Qu, Madhu Gopinathan, Shayan Ali Akbar, Omar Alonso. Interactive Taxonomy Development with Hybrid Methods.

Jiaming Qu, Mengtian Guo, Yue Wang. Why is ``Chicago'' Predictive of Deceptive Reviews? Using LLMs to Discover Language Phenomena from Lexical Cues.

[Ph.D. Dissertation] Jiaming Qu. Explaining Unintuitive Feature Importance Explanations.

[FAccT'25] Jiaming Qu, Jaime Arguello, Yue Wang. Understanding the Effects of Explaining Unintuitive Feature Importance Explanations in AI-Assisted Decision-Making.

[FAccT'24] Jiaming Qu, Jaime Arguello, Yue Wang. Why is "Problems" Predictive of Positive Sentiment? A Case Study of Explaining Unintuitive Features in Sentiment Classification.

[CHIIR'23] Jiaming Qu, Jaime Arguello, Yue Wang. Understanding the Cognitive Influences of Interpretability Features on How Users Scrutinize Machine-Predicted Categories.

[CIKM'21] Jiaming Qu, Jaime Arguello, Yue Wang. A Study of Explainability Features to Scrutinize Faceted Filtering Results.

[ECIR'21] Jiaming Qu, Jaime Arguello, Yue Wang. A Deep Analysis of an Explainable Retrieval Model for Precision Medicine Literature Search.

[SIGIR'20] Jiaming Qu, Jaime Arguello, Yue Wang. Towards Explainable Retrieval Models for Precision Medicine Literature Search.

[TREC'19] Jiaming Qu, Yue Wang. UNC SILS at TREC 2019 Precision Medicine Track.

[TREC'19] Jiaming Qu, Yue Wang. UNC SILS at TREC 2019 News Track.

[PEARC'18] Xiaopeng Lu, Jiaming Qu, Yongxing Jiang, Yanbing Zhao. Should I Invest it? Predicting Future Success of Yelp Restaurants.

Research during my undergraduate study ;-)

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. The journal of Resources, Conservation and Recycling.

Wang, Lei, Qingjian Zhao, Zuomin Wen, Jiaming Qu. RAFFIA: Short-term forest fire danger rating prediction via multiclass logistic regression. The journal of Sustainability.