My full publication list can be found at my Google Scholar.

Selected Publications

Epistemic uncertainty quantification for pre-trained VLMs via Riemannian flow matching

Li Ju, Mayank Nautiyal, Andreas Hellander, Ekta Vats, Prashant Singh; ICML 2026

Exploiting the asymmetric uncertainty structure of pre-trained VLMs on the unit hypersphere

Li Ju, Max Andersson, Stina Fredriksson, Edward Glöckner, Andreas Hellander, Ekta Vats, Prashant Singh; NeurIPS 2025

Federated learning for predicting compound mechanism of action based on image-data from cell painting

Li Ju, Andreas Hellander, Ola Spjuth; Artificial Intelligence in the Life Sciences, 2024

Accelerating fair federated learning: Adaptive federated adam

Li Ju, Tianru Zhang, Salman Toor, Andreas Hellander; IEEE Transactions on Machine Learning in Communications and Networking, 2024

Proactive autoscaling for edge computing systems with kubernetes

Li Ju, Prashant Singh, Salman Toor; UCC 2021

Preprints

GeoFlowVLM: Geometry-Aware Joint Uncertainty for Frozen Vision-Language Embedding

Mayank Nautiyal^†, Li Ju^†, Andreas Hellander, Ekta Vats, Prashant Singh; arXiv preprint (^† Equal contribution)

OneFlowSBI: one model, many queries for simulation-based inference

Mayank Nautiyal, Li Ju, Melker Ernfors, Klara Hagland, Ville Holma, Maximilian Werkö Söderholm, Andreas Hellander, Prashant Singh; arXiv preprint