168 citations · 169 across the 4 of their papers we have counts for
4 papers
Inverse-designed Photonic Computing Core for Parallel Matrix-vector Multiplication
Kaiyuan Wang, Yunlong Li, Tiange Wu +3
On-chip optical neural networks (ONNs) have recently emerged as an attractive hardware accelerator for deep learning applications, characterized by high computing density, low late…
FinLLMs: A Framework for Financial Reasoning Dataset Generation with Large Language Models
Ziqiang Yuan, Kaiyuan Wang, Shoutai Zhu +4
Large Language models (LLMs) usually rely on extensive training datasets. In the financial domain, creating numerical reasoning datasets that include a mix of tables and long text…
AnyOKP: One-Shot and Instance-Aware Object Keypoint Extraction with Pretrained ViT
Fangbo Qin, Taogang Hou, Shan Lin +3
Towards flexible object-centric visual perception, we propose a one-shot instance-aware object keypoint (OKP) extraction approach, AnyOKP, which leverages the powerful representati…
Symbolic Discovery of Optimization Algorithms
Xiangning Chen, Chen Liang, Da Huang +9
We present a method to formulate algorithm discovery as program search, and apply it to discover optimization algorithms for deep neural network training. We leverage efficient sea…