[2026-08] Our paper PROVE: Probabilistic Visual Grounding via Patch-Level Evidence for Vision-Language Models is accepted to WACV 2027.
Updates and announcements, newest first.
[2026-08] Our paper PROVE: Probabilistic Visual Grounding via Patch-Level Evidence for Vision-Language Models is accepted to WACV 2027.
[2026-07] Our paper Generative Text Modeling and Language-Guided Visual Attention for Deciphering Palimpsests is accepted to TACL.
[2026-07] Our BSc thesis students has successfully defended their thesis Evaluation Metrics for AI-Based Handwriting Reconstruction: Proposing the Handwriting Fréchet Distance. Congratulations to Pontus Ahlberg, Ivar Hammarberg, Elin Matsson, and Isac Persson!
[2026-06] Our demo paper ReStore-in-Action is accepted to VLDB 2026.
[2026-06] Our MSc thesis student Hugo Eidmann has successfully defended his thesis Probabilistic Keyframe Selection for Efficient Video Understanding with Multimodal LLMs. Congratulations!
[2026-03] Our paper ReStore is accepted to ACM SIGMOD 2026.
[2025-11] We have a MSc thesis project on Probabilistic Keyframe Selection for Efficient Video Understanding with Multimodal LLMs. Welcome to apply!
[2025-03] Started as a Postdoctoral Researcher in the Uppsala Vision-Language Learning Lab at Uppsala University.
[2025-02] Successfully defended my PhD thesis Intelligent Data Management via Machine Learning: From Storage Hierarchy to Information Hierarchy.
[2025-01] Preprint InfoHier: Hierarchical Information Extraction via Encoding and Embedding is available on arXiv.
[2025-01] Presented ReStore: RL-Based Data Migration for Multi-Tiered Storage at North East Database Day 2025.
[2024-08] Our paper on Adaptive Federated Adam is published in IEEE Transactions on Machine Learning in Communications and Networking.
[2024-05] Our paper Blades is accepted to IoTDI 2024.
[2024-05] Presented at the VLDB 2024 PhD Workshop on autonomous hierarchical storage management via reinforcement learning.
[2023-04] Extended abstract on hierarchical storage management accepted to ICDE 2023.
[2023-03] Our paper on data management of scientific applications in an RL-based hierarchical storage system is published in Expert Systems with Applications.
[2022-05] Our paper Efficient Hierarchical Storage Management Empowered by Reinforcement Learning is published in IEEE TKDE.