Maoying Qiao

According to our database, Maoying Qiao authored at least 21 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

QUBIQ: Uncertainty Quantification for Biomedical Image Segmentation Challenge.

Hongwei Bran Li, Fernando Navarro, Ivan Ezhov, Amirhossein Bayat, Dhritiman Das, Florian Kofler, Suprosanna Shit, Diana Waldmannstetter, Johannes C. Paetzold, Xiaobin Hu, Benedikt Wiestler, Lucas Zimmer, Tamaz Amiranashvili, Chinmay Prabhakar, Christoph Berger, Jonas Weidner, Michelle Alonso-Basanta, Arif Rashid, Ujjwal Baid, Wesam Adel, Deniz Alis, Bhakti Baheti, Yingbin Bai, Ishaan Bhat, Sabri Can Cetindag, Wenting Chen, Li Cheng, Prasad Dutande, Lara Dular, Mustafa A. Elattar, Ming Feng, Shengbo Gao, Henkjan Huisman, Weifeng Hu, Shubham Innani, Wei Jiat, Davood Karimi, Hugo J. Kuijf, Jin Tae Kwak, Hoang Long Le, Xiang Lia, Huiyan Lin, Tongliang Liu, Jun Ma, Kai Ma, Ting Ma, Ilkay Öksüz, Robbie Holland, Arlindo L. Oliveira, Jimut Bahan Pal, Xuan Pei, Maoying Qiao, Anindo Saha, Raghavendra Selvan, Linlin Shen, João Lourenço Silva, Ziga Spiclin, Sanjay N. Talbar, Dadong Wang, Wei Wang, Xiong Wang, Yin Wang, Ruiling Xia, Kele Xu, Yanwu Yan, Mert Yergin, Shuang Yu, Lingxi Zeng, YingLin Zhang, Jiachen Zhao, Yefeng Zheng, Martin Zukovec, Richard K. G. Do, Anton S. Becker, Amber L. Simpson, Ender Konukoglu, András Jakab, Spyridon Bakas, Leo Joskowicz, Bjoern H. Menze

CoRR, 2024

AesMamba: Universal Image Aesthetic Assessment with State Space Models.

Fei Gao, Yuhao Lin, Jiaqi Shi, Maoying Qiao, Nannan Wang

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Human-Robot Interactive Creation of Artistic Portrait Drawings.

Fei Gao, Lingna Dai, Jingjie Zhu, Mei Du, Yiyuan Zhang, Maoying Qiao, Chenghao Xia, Nannan Wang, Peng Li

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Learning Discriminative Style Representations for Unsupervised and Few-Shot Artistic Portrait Drawing Generation.

Junkai Fang, Nan Fang, Fei Huang, Jinglin Zhou, Maoying Qiao, Fei Gao

Proceedings of the IEEE International Conference on Acoustics, 2024

Generating Handwritten Mathematical Expressions From Symbol Graphs: An End-to-End Pipeline.

Yu Chen, Fei Gao, Yanguang Zhang, Maoying Qiao, Nannan Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Trust-Region Adaptive Frequency for Online Continual Learning.

Yajing Kong, Liu Liu, Maoying Qiao, Zhen Wang, Dacheng Tao

Int. J. Comput. Vis., July, 2023

2022

Graph Convolutional Neural Networks with Diverse Negative Samples via Decomposed Determinant Point Processes.

Wei Duan, Junyu Xuan, Maoying Qiao, Jie Lu

CoRR, 2022

Learning from the Dark: Boosting Graph Convolutional Neural Networks with Diverse Negative Samples.

Wei Duan, Junyu Xuan, Maoying Qiao, Jie Lu

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Human-AI Interactive and Continuous Sensemaking: A Case Study of Image Classification using Scribble Attention Maps.

Haifeng Shen, Kewen Liao, Zhibin Liao, Job N. Doornberg, Maoying Qiao, Anton van den Hengel, Johan W. Verjans

Proceedings of the CHI '21: CHI Conference on Human Factors in Computing Systems, 2021

2020

Repulsive Mixture Models of Exponential Family PCA for Clustering.

Maoying Qiao, Tongliang Liu, Jun Yu, Wei Bian, Dacheng Tao

CoRR, 2020

Detecting Communities in Heterogeneous Multi-Relational Networks: A Message Passing based Approach.

Maoying Qiao, Jun Yu, Wei Bian, Dacheng Tao

CoRR, 2020

Automated Pneumoconiosis Detection on Chest X-Rays Using Cascaded Learning with Real and Synthetic Radiographs.

Dadong Wang, Yulia Arzhaeva, Liton Devnath, Maoying Qiao, Saeed Amirgholipour, Qiyu Liao, Rhiannon McBean, James Hillhouse, Suhuai Luo, David Meredith, Katrina Newbigin, Deborah Yates

Proceedings of the Digital Image Computing: Techniques and Applications, 2020

Diversified Bayesian Nonnegative Matrix Factorization.

Maoying Qiao, Jun Yu, Tongliang Liu, Xinchao Wang, Dacheng Tao

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Adapting Stochastic Block Models to Power-Law Degree Distributions.

Maoying Qiao, Jun Yu, Wei Bian, Qiang Li, Dacheng Tao

IEEE Trans. Cybern., 2019

2017

Diversified dictionaries for multi-instance learning.

Maoying Qiao, Liu Liu, Jun Yu, Chang Xu, Dacheng Tao

Pattern Recognit., 2017

Improving Stochastic Block Models by Incorporating Power-Law Degree Characteristic.

Maoying Qiao, Jun Yu, Wei Bian, Qiang Li, Dacheng Tao

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

2016

Diversified probabilistic graphical models

Maoying Qiao

PhD thesis, 2016

Fast Sampling for Time-Varying Determinantal Point Processes.

Maoying Qiao, Richard Yi Da Xu, Wei Bian, Dacheng Tao

ACM Trans. Knowl. Discov. Data, 2016

Conditional Graphical Lasso for Multi-label Image Classification.

Qiang Li, Maoying Qiao, Wei Bian, Dacheng Tao

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015

Diversified Hidden Markov Models for Sequential Labeling.

Maoying Qiao, Wei Bian, Richard Yi Da Xu, Dacheng Tao

IEEE Trans. Knowl. Data Eng., 2015

2011

3D human posture segmentation by spectral clustering with surface normal constraint.

Jun Cheng, Maoying Qiao, Wei Bian, Dacheng Tao

Signal Process., 2011