Ziqi Xu

According to our database, Ziqi Xu authored at least 6 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Addressing Cohort Variability with Adaptive Fusion of Wearable and Clinical Data: A Case Study in Predicting Pancreatic Surgery Outcomes.

Jingwen Zhang, Ruiqi Wang, Ziqi Xu, Hanyang Liu, Jorge Rodriguez, Heidy Cos, Rohit Srivastava, Lacey Raper, Dominic Sanford, Chet W. Hammill, Chenyang Lu

ACM Trans. Comput. Heal., April, 2026

CURA: Clinical Uncertainty Risk Alignment for Language Model-Based Risk Prediction.

Sizhe Wang, Ziqi Xu, Claire Najjuuko, Charles Alba, Chenyang Lu

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

2025

Incorporating Uncertainty in Predictive Models Using Mobile Sensing and Clinical Data: A Case Study on Persistent Post-surgical Pain.

Ziqi Xu, Jingwen Zhang, Simon Haroutounian, Hanyang Liu, Zihan Cao, Gabrielle Rose Messner, Harutyun B. Alaverdyan, Saivee Ahuja, Rahul Koshy, Joel Hanns, Madelyn Frumkin, Thomas L. Rodebaugh, Chenyang Lu

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., June, 2025

Utilizing Semantic Textual Similarity for Clinical Survey Data Feature Selection.

Benjamin C. Warner, Ziqi Xu, Simon Haroutounian, Thomas George Kannampallil, Chenyang Lu

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

Predicting Multi-dimensional Surgical Outcomes with Multi-modal Mobile Sensing: A Case Study with Patients Undergoing Lumbar Spine Surgery.

Ziqi Xu, Jingwen Zhang, Jacob K. Greenberg, Madelyn Frumkin, Saad Javeed, Justin K. Zhang, Braeden C. Benedict, Kathleen Botterbush, Thomas L. Rodebaugh, Wilson Z. Ray, Chenyang Lu

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., May, 2024

2023

Assisting Clinical Decisions for Scarcely Available Treatment via Disentangled Latent Representation.

Bing Xue, Ahmed Sameh Said, Ziqi Xu, Hanyang Liu, Neel Shah, Hanqing Yang, Philip R. O. Payne, Chenyang Lu

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023