Justin Li

19 papers A* 6A 2Journal 8Unranked 3
YearRankTypeTitle / Venue / Authors
2025 — conf
A Hybrid VADER-XGBoost Model for Accurate Mobile Application Rating Forecasting.
ICNSC
Justin Li
2025 J jnl
Cell-type deconvolution for bulk RNA-seq data using single-cell reference: a comparative analysis and recommendation guideline.
Briefings Bioinform.
Xintian Xu, Rui Li, Ouyang Mo, Kai Liu, Justin Li, Pei Hao
2025 A* conf
Rethinking Individual Fairness in Deepfake Detection.
ACM Multimedia
Aryana Hou, Li Lin, Justin Li, Shu Hu
2025 J jnl
Rethinking Individual Fairness in Deepfake Detection.
CoRR
Aryana Hou, Li Lin, Justin Li, Shu Hu
2025 J jnl
Synchronic Web Digital Identity: Speculations on the Art of the Possible.
CoRR
Thien-Nam Dinh, Justin Li, Mitch Negus, Ken Goss
2025 A* conf
Taming Text-to-Image Synthesis for Novices: User-centric Prompt Generation via Multi-turn Guidance.
EMNLP
Yilun Liu, Minggui He, Feiyu Yao, Yuhe Ji, Shimin Tao, Jingzhou Du, Justin Li, Jian Gao, Zhang Li, Hao Yang, Boxing Chen, Osamu Yoshie
2025 J jnl
UniCoMTE: A Universal Counterfactual Framework for Explaining Time-Series Classifiers on ECG Data.
CoRR
Justin Li, Efe Sencan, Jasper Zheng Duan, Vitus J. Leung, Stephen Tsaur, Ayse K. Coskun
2021 J jnl
Predicting the Stereoselectivity of Chemical Transformations by Machine Learning.
CoRR
Justin Li, Dakang Zhang, Yifei Wang, Christopher Ye, Hao Xu, Pengyu Hong
2020 J jnl
A Deep Learning Approach for COVID-19 Trend Prediction.
CoRR
Tong Yang, Long Sha, Justin Li, Pengyu Hong
2019 J jnl
Experience report: explorable web apps to teach AI to non-majors.
J. Comput. Sci. Coll.
Justin Li
2018 — conf
Image Recognition of Disease-Carrying Insects: A System for Combating Infectious Diseases Using Image Classification Techniques and Citizen Science.
HICSS
J. Pablo Munoz, Rebecca Boger, Scott D. Dexter, Russanne Low, Justin Li
2017 J jnl
Towards Modeling False Memory With Computational Knowledge Bases.
Top. Cogn. Sci.
Justin Li, Emma Kohanyi
2017 A conf
Weaving Diversity and Inclusion into CS Content (Abstract Only).
SIGCSE
Justin Li
2015 A* conf
Spontaneous Retrieval from Long-Term Memory for a Cognitive Architecture.
AAAI
Justin Li, John E. Laird
2013 A* conf
Preemptive Strategies for Overcoming the Forgetting of Goals.
AAAI
Justin Li, John E. Laird
2012 A* conf
A Multi-Domain Evaluation of Scaling in a General Episodic Memory.
AAAI
Nate Derbinsky, Justin Li, John E. Laird
2012 A conf
Algorithms for scaling in a general episodic memory.
AAMAS
Nate Derbinsky, Justin Li, John E. Laird
2012 A* conf
Functional Interactions Between Memory and Recognition Judgments.
AAAI
Justin Li, Nate Derbinsky, John E. Laird
2011 — conf
Preliminary Evaluation of Long-term Memories for Fulfilling Delayed Intentions.
AAAI Fall Symposium: Advances in Cognitive Systems
Justin Li, John E. Laird