6 citations · 6 across the 5 of their papers we have counts for
6 papers
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…
Low Latency Computing for Time Stretch Instruments
Tingyi Zhou, Bahram Jalali
Time stretch instruments have been exceptionally successful in discovering single-shot ultrafast phenomena such as optical rogue waves and have led to record-speed microscopy, spec…
Nonlinear Schrödinger Kernel for hardware acceleration in machine learning inference
Tingyi Zhou, Fabien Scalzo, Bahram Jalali
Alternative machine learning approaches that are computationally light with low latency and can work with only a small training dataset are needed for applications where the insati…
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…