activity
20232026
most citedAsymmetrical estimator for training encapsulated deep photonic neural networks

14 citations · 15 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2026

On-Policy Replay for Continual Supervised Fine-Tuning

Yan Chen, Taojie Zhu, Meng Zhang +4

Continual supervised fine-tuning (SFT) is the de facto recipe for adapting large language models (LLMs) to a stream of downstream tasks, but it suffers from catastrophic forgetting…

physics.optics2025

3D surface profiling via photonic integrated geometric sensor

Ziyao Zhang, Yizhi Wang, Chunhui Yao +11

Measurements of microscale surface patterns are essential for process and quality control in industries across semiconductors, micro-machining, and biomedicines. However, the devel…

cs.DC2024

Seamless Optical Cloud Computing across Edge-Metro Network for Generative AI

Sizhe Xing, Aolong Sun, Chengxi Wang +18

The rapid advancement of generative artificial intelligence (AI) in recent years has profoundly reshaped modern lifestyles, necessitating a revolutionary architecture to support th…

cs.LG2024★ 14 cited

Asymmetrical estimator for training encapsulated deep photonic neural networks

Yizhi Wang, Minjia Chen, Chunhui Yao +4

Photonic neural networks (PNNs) are fast in-propagation and high bandwidth paradigms that aim to popularize reproducible NN acceleration with higher efficiency and lower cost. Howe…

cs.ET2023★ 1 cited

I/O-efficient iterative matrix inversion with photonic integrated circuits

Minjia Chen, Yizhi Wang, Chunhui Yao +4

Photonic integrated circuits have been extensively explored for optical processing with the aim of breaking the speed bottleneck of digital electronics. However, the input/output (…