activity
20202023
most citedA Simple Semi-Supervised Learning Framework for Object Detection

325 citations · 437 across the 7 of their papers we have counts for

collaborators

7 papers

cs.NI2023★ 10 cited

Space-Air-Ground Integrated Network (SAGIN): A Survey

Jiming Chen, Han Zhang, Zhe Xie

Since existing mobile communication networks may not be able to meet the low latency and high-efficiency requirements of emerging technologies and applications, novel network archi…

eess.IV2023

Mining fMRI Dynamics with Parcellation Prior for Brain Disease Diagnosis

Xiaozhao Liu, Mianxin Liu, Lang Mei +4

To characterize atypical brain dynamics under diseases, prevalent studies investigate functional magnetic resonance imaging (fMRI). However, most of the existing analyses compress…

physics.optics2023★ 101 cited

Niobium telluride absorber for a mode-locked vector soliton fiber laser

X. X. Shang, N. N. Xu, J. Guo +6

Niobium telluride (NbTe), an emerging transition metal dichalcogenide material, has been theoretically predicted to have nonlinear absorption properties and excellent optical r…

cs.CV2023

StraIT: Non-autoregressive Generation with Stratified Image Transformer

Shengju Qian, Huiwen Chang, Yuanzhen Li +3

We propose Stratified Image Transformer(StraIT), a pure non-autoregressive(NAR) generative model that demonstrates superiority in high-quality image synthesis over existing autoreg…

cs.AI2023

Deep learning reveals the common spectrum underlying multiple brain disorders in youth and elders from brain functional networks

Mianxin Liu, Jingyang Zhang, Yao Wang +7

Brain disorders in the early and late life of humans potentially share pathological alterations in brain functions. However, the key evidence from neuroimaging data for pathologica…

cs.LG2022★ 1 cited

Dimensionality-Varying Diffusion Process

Han Zhang, Ruili Feng, Zhantao Yang +7

Diffusion models, which learn to reverse a signal destruction process to generate new data, typically require the signal at each step to have the same dimension. We argue that, con…