Justin Li

According to our database, Justin Li authored at least 21 papers between 2011 and 2026.

Collaborative distances:

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

2026

When Context Sticks: Studying Interference in In-Context Learning.

Hanna Rød, Dagny Streit, Nils Valseth Selte, Justin Li

CoRR, April, 2026

Robust Fair Disease Diagnosis in CT Images.

Justin Li, Daniel Ding, Asmita Yuki Pritha, Aryana Hou, Xin Wang, Shu Hu

CoRR, April, 2026

Robust Multi-Source Covid-19 Detection in CT Images.

Asmita Yuki Pritha, Jason Xu, Daniel Ding, Justin Li, Aryana Hou, Xin Wang, Shu Hu

CoRR, April, 2026

2025

UniCoMTE: A Universal Counterfactual Framework for Explaining Time-Series Classifiers on ECG Data.

Justin Li, Efe Sencan, Jasper Zheng Duan, Vitus J. Leung, Stephen Tsaur, Ayse K. Coskun

CoRR, December, 2025

Synchronic Web Digital Identity: Speculations on the Art of the Possible.

Thien-Nam Dinh, Justin Li, Mitch Negus, Ken Goss

CoRR, June, 2025

Cell-type deconvolution for bulk RNA-seq data using single-cell reference: a comparative analysis and recommendation guideline.

Xintian Xu, Rui Li, Ouyang Mo, Kai Liu, Justin Li, Pei Hao

Briefings Bioinform., January, 2025

Rethinking Individual Fairness in Deepfake Detection.

Aryana Hou, Li Lin, Justin Li, Shu Hu

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

A Hybrid VADER-XGBoost Model for Accurate Mobile Application Rating Forecasting.

Justin Li

Proceedings of the 2025 International Conference on Networking, 2025

Taming Text-to-Image Synthesis for Novices: User-centric Prompt Generation via Multi-turn Guidance.

Yilun Liu, Minggui He, Feiyu Yao, Yuhe Ji, Shimin Tao, Jingzhou Du, Justin Li, Jian Gao, Zhang Li, Hao Yang, Boxing Chen, Osamu Yoshie

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

2021

Predicting the Stereoselectivity of Chemical Transformations by Machine Learning.

Justin Li, Dakang Zhang, Yifei Wang, Christopher Ye, Hao Xu, Pengyu Hong

CoRR, 2021

2020

A Deep Learning Approach for COVID-19 Trend Prediction.

Tong Yang, Long Sha, Justin Li, Pengyu Hong

CoRR, 2020

2019

Experience report: explorable web apps to teach AI to non-majors.

Justin Li

J. Comput. Sci. Coll., 2019

2018

Image Recognition of Disease-Carrying Insects: A System for Combating Infectious Diseases Using Image Classification Techniques and Citizen Science.

J. Pablo Munoz, Rebecca Boger, Scott D. Dexter, Russanne Low, Justin Li

Proceedings of the 51st Hawaii International Conference on System Sciences, 2018

2017

Towards Modeling False Memory With Computational Knowledge Bases.

Justin Li, Emma Kohanyi

Top. Cogn. Sci., 2017

Weaving Diversity and Inclusion into CS Content (Abstract Only).

Justin Li

Proceedings of the 2017 ACM SIGCSE Technical Symposium on Computer Science Education, 2017

2015

Spontaneous Retrieval from Long-Term Memory for a Cognitive Architecture.

Justin Li, John E. Laird

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2013

Preemptive Strategies for Overcoming the Forgetting of Goals.

Justin Li, John E. Laird

Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013

2012

Algorithms for scaling in a general episodic memory.

Nate Derbinsky, Justin Li, John E. Laird

Proceedings of the International Conference on Autonomous Agents and Multiagent Systems, 2012

Functional Interactions Between Memory and Recognition Judgments.

Justin Li, Nate Derbinsky, John E. Laird

Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

A Multi-Domain Evaluation of Scaling in a General Episodic Memory.

Nate Derbinsky, Justin Li, John E. Laird

Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2011

Preliminary Evaluation of Long-term Memories for Fulfilling Delayed Intentions.

Justin Li, John E. Laird

Proceedings of the Advances in Cognitive Systems, 2011