We stand with Ukraine

We stand with Ukraine

Jiaming Qu

Orcid: 0000-0003-4460-5637

According to our database¹, Jiaming Qu authored at least 17 papers between 2018 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Links

On csauthors.net:

Bibliography

2026

Touching Space: Accessible Map Exploration Through Conversational Audio-Haptic Interaction.

[DOI]

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Marc Jowell Bagaoisan

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Leilani H. Gilpin

CoRR, April, 2026

Lighting Up or Dimming Down? Exploring Dark Patterns of LLMs in Co-Creativity.

[DOI]

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CoRR, April, 2026

Metaphors We Compute By: A Computational Audit of Cultural Translation vs. Thinking in LLMs.

[DOI]

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CoRR, April, 2026

A Multi-Agent Framework for Democratizing XR Content Creation in K-12 Classrooms.

[DOI]

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CoRR, April, 2026

Interactive Taxonomy Development with Hybrid Methods.

[DOI]

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Madhu Gopinathan

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Shayan Ali Akbar

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Proceedings of the 2026 Conference on Human Information Interaction and Retrieval, 2026

2025

Why is "Chicago" Predictive of Deceptive Reviews? Using LLMs to Discover Language Phenomena from Lexical Cues.

[DOI]

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CoRR, November, 2025

Understanding the Effects of Explaining Predictive but Unintuitive Features in Human-XAI Interaction.

[DOI]

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Proceedings of the 2025 ACM Conference on Fairness, Accountability, and Transparency, 2025

2024

Why is "Problems" Predictive of Positive Sentiment? A Case Study of Explaining Unintuitive Features in Sentiment Classification.

[DOI]

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Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency, 2024

2023

Prediction of Output Pressure of Dredge Centrifugal Pumps Based on Machine Learning.

[DOI]

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Proceedings of the 5th International Conference on Robotics, 2023

Understanding the Cognitive Influences of Interpretability Features on How Users Scrutinize Machine-Predicted Categories.

[DOI]

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Proceedings of the 2023 Conference on Human Information Interaction and Retrieval, 2023

2021

A Deep Analysis of an Explainable Retrieval Model for Precision Medicine Literature Search.

[DOI]

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Proceedings of the Advances in Information Retrieval, 2021

A Study of Explainability Features to Scrutinize Faceted Filtering Results.

[DOI]

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Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

Towards Explainable Retrieval Models for Precision Medicine Literature Search.

[DOI]

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Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

2019

A Medical Literature Search System for Identifying Effective Treatments in Precision Medicine.

[DOI]

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CoRR, 2019

UNC SILS at TREC 2019 Precision Medicine Track.

[DOI]

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Proceedings of the Twenty-Eighth Text REtrieval Conference, 2019

UNC SILS at TREC 2019 News Track.

[DOI]

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Proceedings of the Twenty-Eighth Text REtrieval Conference, 2019

2018

Should I Invest it?: Predicting Future Success of Yelp Restaurants.

[DOI]

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Proceedings of the Practice and Experience on Advanced Research Computing, 2018

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