PhD Dissertation Defense: Visual Learning with Limited Supervision Kunpeng Li Location: Zoom Link Abstract: Deep learning models have achieved remarkable success in many computer vision tasks. However, they typically rely on large amounts of carefully labeled training data whose annotating process is usually expensive, time-consuming and even infeasible when considering the task complexity and scarcity […]

PhD Dissertation Defense: High-performance Translation Layers for Cloud Immutable Storage Mohammad Hossein Hajkazemi Location: Zoom Link Abstract: Most storage interfaces support in-place updates: blocks can be rewritten, files can be modified at byte granularity, fields may be updated in database table rows. Yet internally these layers often rely on out-of-place (immutable) writes. In some cases, […]

MS Thesis Defense titled DeepSense: Fast Wideband Spectrum Sensing Through Real-Time In-the-Loop Deep Learning Daniel Uvaydov Location: Microsoft Teams Abstract: Spectrum sharing will be a key technology to tackle spectrum scarcity in the sub-6 GHz bands. To fairly access the shared bandwidth, wireless users will necessarily need to quickly sense large portions of spectrum and […]