activity
20212026
most citedExperimentally realized in situ backpropagation for deep learning in nanophotonic neural networks

330 citations · 335 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CV2026

What Matters in Practical Learned Image Compression

Kedar Tatwawadi, Parisa Rahimzadeh, Zhanghao Sun +5

One of the major differentiators unlocked by learned codecs relative to their hard-coded traditional counterparts is their ability to be optimized directly to appeal to the human v…

physics.optics2023

Scalable Low-latency Optical Phase Sensor Array

Zhanghao Sun, Sunil Pai, Carson Valdez +5

Optical phase measurement is critical for many applications and traditional approaches often suffer from mechanical instability, temporal latency, and computational complexity. In…

eess.IV2022

Consistent Direct Time-of-Flight Video Depth Super-Resolution

Zhanghao Sun, Wei Ye, Jinhui Xiong +4

Direct time-of-flight (dToF) sensors are promising for next-generation on-device 3D sensing. However, limited by manufacturing capabilities in a compact module, the dToF data has a…

eess.IV2022

Seeing Far in the Dark with Patterned Flash

Zhanghao Sun, Jian Wang, Yicheng Wu +1

Flash illumination is widely used in imaging under low-light environments. However, illumination intensity falls off with propagation distance quadratically, which poses significan…

cs.CV2022

Structured Light with Redundancy Codes

Zhanghao Sun, Yu Zhang, Yicheng Wu +3

Structured light (SL) systems acquire high-fidelity 3D geometry with active illumination projection. Conventional systems exhibit challenges when working in environments with stron…

cs.ET2022★ 330 cited

Experimentally realized in situ backpropagation for deep learning in nanophotonic neural networks

Sunil Pai, Zhanghao Sun, Tyler W. Hughes +11

Neural networks are widely deployed models across many scientific disciplines and commercial endeavors ranging from edge computing and sensing to large-scale signal processing in d…