Li Ju

Proactive Autoscaling for Edge Computing Systems with Kubernetes

Ju, Li; Singh, Prashant; Toor, Salman

2021

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Robust Learning from Distributed and Heterogeneous Data

Ju, Li

2026

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Exploiting the Asymmetric Uncertainty Structure of Pre-trained VLMs on the Unit Hypersphere

Ju, Li; Andersson, Max; Fredriksson, Stina; Glöckner, Edward et al.

2025

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

Ju, Li; Hellander, Andreas; Spjuth, Ola

Part of Artificial Intelligence in the Life Sciences, 2024

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Accelerating Fair Federated Learning: Adaptive Federated Adam

Ju, Li; Zhang, Tianru; Toor, Salman; Hellander, Andreas

Part of IEEE Transactions on Machine Learning in Communications and Networking, p. 1017-1032, 2024

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Blades: A Unified Benchmark Suite for Byzantine Attacks and Defenses in Federated Learning

Li, Shenghui; Ngai, Edith C. H.; Ye, Fanghua; Ju, Li et al.

Part of 2024 IEEE/ACM Ninth International Conference on Internet-of-Things Design and Implementation (IoTDI), p. 158-169, 2024

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

Ju, Li; Hellander, Andreas; Spjuth, Ola

Part of Artificial Intelligence in the Life Sciences, 2024

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Accelerating Fair Federated Learning: Adaptive Federated Adam

Ju, Li; Zhang, Tianru; Toor, Salman; Hellander, Andreas

Part of IEEE Transactions on Machine Learning in Communications and Networking, p. 1017-1032, 2024

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Robust Learning from Distributed and Heterogeneous Data

Ju, Li

2026

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Exploiting the Asymmetric Uncertainty Structure of Pre-trained VLMs on the Unit Hypersphere

Ju, Li; Andersson, Max; Fredriksson, Stina; Glöckner, Edward et al.

2025

Blades: A Unified Benchmark Suite for Byzantine Attacks and Defenses in Federated Learning

Li, Shenghui; Ngai, Edith C. H.; Ye, Fanghua; Ju, Li et al.

Part of 2024 IEEE/ACM Ninth International Conference on Internet-of-Things Design and Implementation (IoTDI), p. 158-169, 2024

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Demo Abstract: Blades: A Unified Benchmark Suite for Byzantine-Resilient in Federated Learning

Li, Shenghui; Ngait, Edith C. -H.; Ye, Fanghua; Ju, Li et al.

Part of 9TH ACM/IEEE CONFERENCE ON INTERNET OF THINGS DESIGN AND IMPLEMENTATION, IOTDI 2024, p. 229-230, 2024

• DOI for Demo Abstract: Blades: A Unified Benchmark Suite for Byzantine-Resilient in Federated Learning

Proactive Autoscaling for Edge Computing Systems with Kubernetes

Ju, Li; Singh, Prashant; Toor, Salman

2021

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InfoHier: Hierarchical Information Extraction via Encoding and Embedding

Zhang, Tianru; Ju, Li; Singh, Prashant; Toor, Salman

Epistemic Uncertainty Quantification for Pre-trained VLMs via Riemannian Flow Matching

Ju, Li; Nautiyal, Mayank; Hellander, Andreas; Vats, Ekta et al.

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OneFlowSBI: One Model, Many Queries for Simulation-Based Inference

Nautiyal, Mayank; Ju, Li; Ernfors, Melker; Hagland, Klara et al.

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