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The Pervasive Intelligence Laboratory, directed by Prof. Song Guo, is developing novel and efficient deep learning architectures, algorithms, and systems over ubiquitous mobile, IoT, and edge endpoints. By pushing the boundaries of AI capabilities, we aim to unlock new possibilities and create significant impacts in multiple areas such as scientific discovery, environmental sustainability, and societal well-being.
We focus on the following research areas:
- Cloud-Edge Collaborative Large Models
- AI Computing Cyberinfrastructure
- Trustworthy AI Governance & AIGC
- AI4Science
Join Us
We are looking for strongly motivated PhD students, Research Assistants, and Postdoctoral Fellows.
Latest News
Recent Publications
(2024).
Cross-modal Representation Flattening for Multi-modal Domain Generalization.
In the 38th Annual Conference on Neural Information Processing Systems (NeurIPS) (CCF-A).
(2024).
Towards Safe Concept Transfer of Multi-Modal Diffusion via Causal Representation Editing.
In the 38th Annual Conference on Neural Information Processing Systems (NeurIPS) (CCF-A).
(2024).
Detached and Interactive Multimodal Learning.
ACM International Conference on Multimedia (MM) (CCF-A).
(2024).
FreePIH: Training-Free Painterly Image Harmonization with Diffusion Model.
ACM International Conference on Multimedia (MM) (CCF-A).
(2024).
SFP: Spurious Feature-Targeted Pruning for Out-of-Distribution Generalization.
ACM International Conference on Multimedia (MM) (CCF-A).
LAB Location
Department of Computer Science and Engineering, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong SAR