activity
20092023
most citedAre You Talking to a Machine? Dataset and Methods for Multilingual Image Question Answering

246 citations · 816 across the 51 of their papers we have counts for

collaborators

51 papers

cs.CV2023★ 1 cited

R2GenGPT: Radiology Report Generation with Frozen LLMs

Zhanyu Wang, Lingqiao Liu, Lei Wang +1

Large Language Models (LLMs) have consistently showcased remarkable generalization capabilities when applied to various language tasks. Nonetheless, harnessing the full potential o…

cs.LG2023

Does AI for science need another ImageNet Or totally different benchmarks? A case study of machine learning force fields

Yatao Li, Wanling Gao, Lei Wang +3

AI for science (AI4S) is an emerging research field that aims to enhance the accuracy and speed of scientific computing tasks using machine learning methods. Traditional AI benchma…

physics.optics2023★ 119 cited

Super stealth dicing of transparent solids with nanometric precision

Zhen-Ze Li, Hua Fan, Lei Wang +9

Laser cutting of semiconductor wafers and transparent dielectrics has become a dominant process in manufacturing industries, encompassing a wide range of applications from flat dis…

cs.DB2023

IterLara: A Turing Complete Algebra for Big Data, AI, Scientific Computing, and Database

Hongxiao Li, Wanling Gao, Lei Wang +1

\textsc{Lara} is a key-value algebra that aims at unifying linear and relational algebra with three types of operation abstraction. The study of \textsc{Lara}'s expressive ability…

cs.CV2023★ 1 cited

Semantic-Aware Dual Contrastive Learning for Multi-label Image Classification

Leilei Ma, Dengdi Sun, Lei Wang +2

Extracting image semantics effectively and assigning corresponding labels to multiple objects or attributes for natural images is challenging due to the complex scene contents and…

econ.EM2023

Estimating overidentified linear models with heteroskedasticity and outliers

Lei Bill Wang

A large degree of overidentification causes severe bias in TSLS. A conventional heuristic rule used to motivate new estimators in this context is approximate bias. This paper forma…