Justin Xu

According to our database, Justin Xu authored at least 22 papers between 2006 and 2026.

Collaborative distances:

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

2026

ADR: An Agentic Detection System for Enterprise Agentic AI Security.

Chenning Li, Pan Hu, Justin Xu, Baris Ozbas, Olivia Liu, Caroline Van, Manxue Li, Wei Zhou, Mohammad Alizadeh, Pengyu Zhang, KK Sriramadhesikan, Ming Zhang

CoRR, May, 2026

CheXTemporal: A Dataset for Temporally-Grounded Reasoning in Chest Radiography.

Eva Prakash, Yunhe Gao, Chong Wang, Justin Xu, Neal Prakash, Arne Edward Michalson, Seena Dehkharghani, Eun Kyoung Hong, Julie Bauml, Roger Boodoo, Jean-Benoit Delbrouck, Sophie Ostmeier, Curtis Langlotz

CoRR, May, 2026

A Reasoning-Enabled Vision-Language Foundation Model for Chest X-ray Interpretation.

Yabin Zhang, Chong Wang, Yunhe Gao, Jiaming Liu, Maya Varma, Justin Xu, Sophie Ostmeier, Jin Long, Sergios Gatidis, Seena Dehkharghani, Arne Edward Michalson, Eun Kyoung Hong, Christian Bluethgen, Haiwei Henry Guo, Alexander Victor Ortiz, Stephan Altmayer, Sandhya Bodapati, Joseph David Janizek, Ken Chang, Jean-Benoit Delbrouck, Akshay S. Chaudhari, Curtis P. Langlotz

CoRR, April, 2026

MedFeat: Model-Aware and Explainability-Driven Feature Engineering with LLMs for Clinical Tabular Prediction.

Zizheng Zhang, Yiming Li, Justin Xu, Jinyu Wang, Rui Wang, Lei Song, Jiang Bian, David W. Eyre, Jingjing Fu

CoRR, March, 2026

2025

Improving the Performance of Radiology Report De-identification with Large-Scale Training and Benchmarking Against Cloud Vendor Methods.

Eva Prakash, Maayane Attias, Pierre J. Chambon, Justin Xu, Steven Q. H. Truong, Jean-Benoit Delbrouck, Tessa Sundaram Cook, Curtis Langlotz

CoRR, November, 2025

Scaling laws for activation steering with Llama 2 models and refusal mechanisms.

Sheikh Abdur Raheem Ali, Justin Xu, Ivory Yang, Jasmine Xinze Li, Ayse Arslan, Clark Benham

CoRR, July, 2025

Automated Structured Radiology Report Generation.

Jean-Benoit Delbrouck, Justin Xu, Johannes Moll, Alois Thomas, Zhihong Chen, Sophie Ostmeier, Asfandyar Azhar, Kelvin Zhenghao Li, Andrew Johnston, Christian Bluethgen, Eduardo Pontes Reis, Mohamed Muneer, Maya Varma, Curt Langlotz

CoRR, May, 2025

Identification of cardiac wall motion abnormalities in diverse populations by deep learning of the electrocardiogram.

Albert J. Rogers, Neal K. Bhatia, Sabyasachi Bandyopadhyay, James E. Tooley, Rayan Ansari, Vyom Thakkar, Justin Xu, Jessica Torres Soto, Jagteshwar S. Tung, Mahmood I. Alhusseini, Paul Clopton, Reza Sameni, Gari D. Clifford, J. Weston Hughes, Euan A. Ashley, Marco V. Perez, Matei Zaharia, Sanjiv M. Narayan

npj Digit. Medicine, 2025

MEDS: Building Models and Tools in a Reproducible Health AI Ecosystem.

Matthew B. A. McDermott, Justin Xu, Teya S. Bergamaschi, Hyewon Jeong, Simon A. Lee, Nassim Oufattole, Patrick Rockenschaub, Kamile Stankeviciute, Ethan Steinberg, Jimeng Sun, Robin Van De Water, Michael Wornow, John Wu, Zhenbang Wu

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

ACES: Automatic Cohort Extraction System for Event-Stream Datasets.

Justin Xu, Jack Gallifant, Alistair E. W. Johnson, Matthew B. A. McDermott

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

RadEval: A framework for radiology text evaluation.

Justin Xu, Xi Zhang, Javid Abderezaei, Julie Bauml, Roger Boodoo, Fatemeh Haghighi, Ali Ganjizadeh, Eric Brattain, Dave Van Veen, Zaiqiao Meng, David W. Eyre, Jean-Benoit Delbrouck

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Tree-of-Quote Prompting Improves Factuality and Attribution in Multi-Hop and Medical Reasoning.

Justin Xu, Yiming Li, Zizheng Zhang, Augustine Yui Hei Luk, Mayank Jobanputra, Samarth Oza, Ashley Murray, Meghana Reddy Kasula, Andrew Parker, David W. Eyre

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

CheXalign: Preference fine-tuning in chest X-ray interpretation models without human feedback.

Dennis Hein, Zhihong Chen, Sophie Ostmeier, Justin Xu, Maya Varma, Eduardo Pontes Reis, Arne Edward Michalson, Christian Bluethgen, Hyun Joo Shin, Curtis P. Langlotz, Akshay S. Chaudhari

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Automated Structured Radiology Report Generation.

Jean-Benoit Delbrouck, Justin Xu, Johannes Moll, Alois Thomas, Zhihong Chen, Sophie Ostmeier, Asfandyar Azhar, Kelvin Zhenghao Li, Andrew Johnston, Christian Bluethgen, Eduardo Pontes Reis, Mohamed S. Muneer, Maya Varma, Curtis P. Langlotz

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

Preference Fine-Tuning for Factuality in Chest X-Ray Interpretation Models Without Human Feedback.

Dennis Hein, Zhihong Chen, Sophie Ostmeier, Justin Xu, Maya Varma, Eduardo Pontes Reis, Arne Edward Michalson, Christian Bluethgen, Hyun Joo Shin, Curtis P. Langlotz, Akshay S. Chaudhari

CoRR, 2024

Overview of the First Shared Task on Clinical Text Generation: RRG24 and "D$ischarge Me!".

Justin Xu, Zhihong Chen, Andrew Johnston, Louis Blankemeier, Maya Varma, Jason Hom, William J. Collins, Ankit Modi, Robert Lloyd, Benjamin Hopkins, Curtis P. Langlotz, Jean-Benoit Delbrouck

CoRR, 2024

GREEN: Generative Radiology Report Evaluation and Error Notation.

Sophie Ostmeier, Justin Xu, Zhihong Chen, Maya Varma, Louis Blankemeier, Christian Bluethgen, Arne Edward Michalson, Michael E. Moseley, Curtis P. Langlotz, Akshay Chaudhari, Jean-Benoit Delbrouck

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Overview of the First Shared Task on Clinical Text Generation: RRG24 and "Discharge Me!".

Justin Xu, Zhihong Chen, Andrew Johnston, Louis Blankemeier, Maya Varma, Jason Hom, William J. Collins, Ankit Modi, Robert Lloyd, Benjamin Hopkins, Curtis P. Langlotz, Jean-Benoit Delbrouck

Proceedings of the 23rd Workshop on Biomedical Natural Language Processing, 2024

2023

MIXSIM: A Hierarchical Framework for Mixed Reality Traffic Simulation.

Simon Suo, Kelvin Wong, Justin Xu, James Tu, Alexander Cui, Sergio Casas, Raquel Urtasun

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2019

QuizBot: A Dialogue-based Adaptive Learning System for Factual Knowledge.

Sherry Ruan, Liwei Jiang, Justin Xu, Bryce Joe-Kun Tham, Zhengneng Qiu, Yeshuang Zhu, Elizabeth L. Murnane, Emma Brunskill, James A. Landay

Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, 2019

2006

Modelling Heterogeneous Interactions in SoC Verification.

Justin Xu, Cheng-Chew Lim

Proceedings of the IFIP VLSI-SoC 2006, 2006

Exploiting Concurrency in System-on-Chip Verification.

Justin Xu, Cheng-Chew Lim

Proceedings of the IEEE Asia Pacific Conference on Circuits and Systems 2006, 2006