6 citations · 7 across the 5 of their papers we have counts for
7 papers
Standardizing Medical Images at Scale for AI
Callen MacPhee, Yiming Zhou, Koichiro Kishima +1
Deep learning has achieved remarkable success in medical image analysis, yet its performance remains highly sensitive to the heterogeneity of clinical data. Differences in imaging…
Physical Data Embedding for Memory Efficient AI
Callen MacPhee, Yiming Zhou, Bahram Jalali
Deep neural networks (DNNs) have achieved exceptional performance across various fields by learning complex, nonlinear mappings from large-scale datasets. However, they face challe…
Time Stretch with Continuous-Wave Lasers
Tingyi Zhou, Yuta Goto, Takeshi Makino +6
A single-shot measurement technique for ultrafast phenomena with high throughput enables the capture of rare events within a short time scale, facilitating the exploration of rare…
PhyCV: The First Physics-inspired Computer Vision Library
Yiming Zhou, Callen MacPhee, Madhuri Suthar +1
PhyCV is the first computer vision library which utilizes algorithms directly derived from the equations of physics governing physical phenomena. The algorithms appearing in the cu…
Physics-AI Symbiosis
Bahram Jalali, Achuta Kadambi, Vwani Roychowdhury
The phenomenal success of physics in explaining nature and designing hardware is predicated on efficient computational models. A universal codebook of physical laws defines the com…
Deep Analog-to-Digital Converter for Wireless Communication
Ashkan Samiee, Yiming Zhou, Tingyi Zhou +1
With the advent of the 5G wireless networks, achieving tens of gigabits per second throughputs and low, milliseconds, latency has become a reality. This level of performance will f…
Deep Learning Interference Cancellation in Wireless Networks
Yiming Zhou, Ashkan Samiee, Tingyi Zhou +1
With the crowding of the electromagnetic spectrum and the shrinking cell size in wireless networks, crosstalk between base stations and users is a major problem. Although hand-craf…