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Yueen Ma
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2020 – today
- 2024
- [c5]Yueen Ma, Dafeng Chi, Jingjing Li, Kai Song, Yuzheng Zhuang, Irwin King:
VOLTA: Improving Generative Diversity by Variational Mutual Information Maximizing Autoencoder. NAACL-HLT (Findings) 2024: 364-378 - [i5]Yueen Ma, Zixing Song, Yuzheng Zhuang, Jianye Hao, Irwin King:
A Survey on Vision-Language-Action Models for Embodied AI. CoRR abs/2405.14093 (2024) - [i4]Yueen Ma, Dafeng Chi, Shiguang Wu, Yuecheng Liu, Yuzheng Zhuang, Jianye Hao, Irwin King:
Actra: Optimized Transformer Architecture for Vision-Language-Action Models in Robot Learning. CoRR abs/2408.01147 (2024) - 2023
- [c4]Yueen Ma, Zixing Song, Xuming Hu, Jingjing Li, Yifei Zhang, Irwin King:
Graph Component Contrastive Learning for Concept Relatedness Estimation. AAAI 2023: 13362-13370 - [i3]Yueen Ma, Dafeng Chi, Jingjing Li, Yuzheng Zhuang, Jianye Hao, Irwin King:
VOLTA: Diverse and Controllable Question-Answer Pair Generation with Variational Mutual Information Maximizing Autoencoder. CoRR abs/2307.00852 (2023) - 2022
- [i2]Daniel Bauer, Tom Longley, Yueen Ma, Tony Wilson:
NLP in Human Rights Research - Extracting Knowledge Graphs About Police and Army Units and Their Commanders. CoRR abs/2201.05230 (2022) - [i1]Yueen Ma, Zixing Song, Chirui Chang, Yue Yu, Irwin King
:
ConcreteGraph: A Data Augmentation Method Leveraging the Properties of Concept Relatedness Estimation. CoRR abs/2206.12556 (2022) - 2021
- [c3]Da Yan, Shengbin Wu, Mirza Tanzim Sami, Abdullateef Ibrahim Almudaifer, Zhe Jiang
, Haiquan Chen, D. Rangaprakash, Gopikrishna Deshpande
, Yueen Ma:
Improving Brain Dysfunction Prediction by GAN: A Functional-Connectivity Generator Approach. IEEE BigData 2021: 1514-1522 - [c2]Yueen Ma, Da Yan, Cheng Long, D. Rangaprakash, Gopikrishna Deshpande
:
Predicting Autism Spectrum Disorder from Brain Imaging Data by Graph Convolutional Network. IJCNN 2021: 1-8
2010 – 2019
- 2018
- [c1]Yueen Ma, Vincent Havyarimana, Jing Bai, Zhu Xiao:
Vision-Based Lane Detection and Lane-Marking Model Inference: A Three-Step Deep Learning Approach. PAAP 2018: 183-190
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