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Found 11 papers, 2 papers with code
VDTuner: Automated Performance Tuning for Vector Data Management Systems
However, due to the inherent characteristics of VDMS, automatic performance tuning for VDMS faces several critical challenges, which cannot be well addressed by the existing auto-tuning methods.
Bilateral Unsymmetrical Graph Contrastive Learning for Recommendation
Recent methods utilize graph contrastive Learning within graph-structured user-item interaction data for collaborative filtering and have demonstrated their efficacy in recommendation tasks.
MatchNAS: Optimizing Edge AI in Sparse-Label Data Contexts via Automating Deep Neural Network Porting for Mobile Deployment
In this paper, we propose MatchNAS, a novel scheme for porting DNNs to mobile devices.
CodeFuse-13B: A Pretrained Multi-lingual Code Large Language Model
It is specifically designed for code-related tasks with both English and Chinese prompts and supports over 40 programming languages.
Early Prediction of Alzheimers Disease Leveraging Symptom Occurrences from Longitudinal Electronic Health Records of US Military Veterans
We used a panel of AD-related keywords and their occurrences over time in a patient's longitudinal EHRs as predictors for AD prediction with four machine learning models.
Seirios: Leveraging Multiple Channels for LoRaWAN Indoor and Outdoor Localization
By exploiting both the original and the conjugate of the physical layer, Seirios can resolve the direct path from multiple reflectors in both indoor and outdoor environments.
Deep Learning for Radio-based Human Sensing: Recent Advances and Future Directions
While decade-long research has clearly demonstrated the vast potential of radio frequency (RF) for many human sensing tasks, scaling this technology to large scenarios remained problematic with conventional approaches.
Simultaneous Energy Harvesting and Gait Recognition using Piezoelectric Energy Harvester
We prototype the proposed gait recognition architecture in the form factor of an insole and evaluate its gait recognition as well as energy harvesting performance with 20 subjects.
SolarGest: Ubiquitous and Battery-free Gesture Recognition using Solar Cells
We design a system, SolarGest, which can recognize hand gestures near a solar-powered device by analyzing the patterns of the photocurrent.
Human-Computer Interaction
Compressive hyperspectral imaging via adaptive sampling and dictionary learning
In this paper, we propose a new sampling strategy for hyperspectral signals that is based on dictionary learning and singular value decomposition (SVD).
Novel Methods for Activity Classification and Occupany Prediction Enabling Fine-grained HVAC Control
Much of the energy consumption in buildings is due to HVAC systems, which has motivated several recent studies on making these systems more energy- efficient.
