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20212024
most citedGalaxy Morphology Classification Using Multi-Scale Convolution Capsule Network

13 citations · 20 across the 7 of their papers we have counts for

collaborators

6 papers

astro-ph.GA202313 cited

Galaxy Morphology Classification Using Multi-Scale Convolution Capsule Network

Guangping Li, Tingting Xu, Liping Li +5

The classification of galaxy morphology is a hot issue in astronomical research. Although significant progress has been made in the last decade in classifying galaxy morphology usi…

cs.CV20231 cited

MODIFY: Model-driven Face Stylization without Style Images

Yuhe Ding, Jian Liang, Jie Cao +2

Existing face stylization methods always acquire the presence of the target (style) domain during the translation process, which violates privacy regulations and limits their appli…

cs.CL20231 cited

Dependency Dialogue Acts -- Annotation Scheme and Case Study

Jon Z. Cai, Brendan King, Margaret Perkoff +9

In this paper, we introduce Dependency Dialogue Acts (DDA), a novel framework for capturing the structure of speaker-intentions in multi-party dialogues. DDA combines and adapts fe…

cs.CL2022

DeepGen: Diverse Search Ad Generation and Real-Time Customization

Konstantin Golobokov, Junyi Chai, Victor Ye Dong +5

We present DeepGen, a system deployed at web scale for automatically creating sponsored search advertisements (ads) for BingAds customers. We leverage state-of-the-art natural lang…

cs.SI2022

Modeling the Social Influence of COVID-19 via Personalized Propagation with Deep Learning

Yufei Liu, Jie Cao, Dechang Pi

Social influence prediction has permeated many domains, including marketing, behavior prediction, recommendation systems, and more. However, traditional methods of predicting socia…

cs.LG20215 cited

Improving Subgraph Recognition with Variational Graph Information Bottleneck

Junchi Yu, Jie Cao, Ran He

Subgraph recognition aims at discovering a compressed substructure of a graph that is most informative to the graph property. It can be formulated by optimizing Graph Information B…