Maoying Qiao

31 papers A* 10A 1Misc 3Journal 15Unranked 1
YearRankTypeTitle / Venue / Authors
2025 A conf
Disentangle Source and Target Knowledge for Continual Test-Time Adaptation.
WACV
Tianyi Ma, Maoying Qiao
2025 A* conf
EBaR: Efficient Buffer and Resetting for Single-Sample Continual Test-Time Adaptation.
ACM Multimedia
Tianyi Ma, Maoying Qiao
2025 Misc conf
MAJoR: Visual Emotion Analysis via Multi-Attribute Joint Reasoning.
ICASSP
Yuxin Fei, Jinlan Xu, Maoying Qiao, Fei Gao
2025 A* conf
QuARF: Quality-Adaptive Receptive Fields for Degraded Image Perception.
AAAI
Fei Gao, Ying Zhou, Ziyun Li, Wenwang Han, Jiaqi Shi, Maoying Qiao, Jinlan Xu, Nannan Wang
2025 J jnl
S
IEEE Trans. Image Process.
Xi Yang, Haoyuan Shi, Ziyun Li, Maoying Qiao, Fei Gao, Nannan Wang
2024 A* conf
AesMamba: Universal Image Aesthetic Assessment with State Space Models.
ACM Multimedia
Fei Gao, Yuhao Lin, Jiaqi Shi, Maoying Qiao, Nannan Wang
2024 A* conf
Generating Handwritten Mathematical Expressions From Symbol Graphs: An End-to-End Pipeline.
CVPR
Yu Chen, Fei Gao, Yanguang Zhang, Maoying Qiao, Nannan Wang
2024 J jnl
Graph Convolutional Neural Networks With Diverse Negative Samples via Decomposed Determinant Point Processes.
IEEE Trans. Neural Networks Learn. Syst.
Wei Duan, Junyu Xuan, Maoying Qiao, Jie Lu
2024 A* conf
Human-Robot Interactive Creation of Artistic Portrait Drawings.
ICRA
Fei Gao, Lingna Dai, Jingjie Zhu, Mei Du, Yiyuan Zhang, Maoying Qiao, Chenghao Xia, Nannan Wang, Peng Li
2024 Misc conf
Learning Discriminative Style Representations for Unsupervised and Few-Shot Artistic Portrait Drawing Generation.
ICASSP
Junkai Fang, Nan Fang, Fei Huang, Jinglin Zhou, Maoying Qiao, Fei Gao
2024 J jnl
QUBIQ: Uncertainty Quantification for Biomedical Image Segmentation Challenge.
CoRR
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
2023 J jnl
Trust-Region Adaptive Frequency for Online Continual Learning.
Int. J. Comput. Vis.
Yajing Kong, Liu Liu, Maoying Qiao, Zhen Wang, Dacheng Tao
2022 J jnl
Graph Convolutional Neural Networks with Diverse Negative Samples via Decomposed Determinant Point Processes.
CoRR
Wei Duan, Junyu Xuan, Maoying Qiao, Jie Lu
2022 A* conf
Learning from the Dark: Boosting Graph Convolutional Neural Networks with Diverse Negative Samples.
AAAI
Wei Duan, Junyu Xuan, Maoying Qiao, Jie Lu
2022 J jnl
Learning from the Dark: Boosting Graph Convolutional Neural Networks with Diverse Negative Samples.
CoRR
Wei Duan, Junyu Xuan, Maoying Qiao, Jie Lu
2021 — conf
Human-AI Interactive and Continuous Sensemaking: A Case Study of Image Classification using Scribble Attention Maps.
CHI Extended Abstracts
Haifeng Shen, Kewen Liao, Zhibin Liao, Job N. Doornberg, Maoying Qiao, Anton van den Hengel, Johan W. Verjans
2020 Misc conf
Automated Pneumoconiosis Detection on Chest X-Rays Using Cascaded Learning with Real and Synthetic Radiographs.
DICTA
Dadong Wang, Yulia Arzhaeva, Liton Devnath, Maoying Qiao, Saeed Amirgholipour, Qiyu Liao, Rhiannon McBean, James Hillhouse, Suhuai Luo, David Meredith, Katrina Newbigin, Deborah Yates
2020 J jnl
Detecting Communities in Heterogeneous Multi-Relational Networks: A Message Passing based Approach.
CoRR
Maoying Qiao, Jun Yu, Wei Bian, Dacheng Tao
2020 A* conf
Diversified Bayesian Nonnegative Matrix Factorization.
AAAI
Maoying Qiao, Jun Yu, Tongliang Liu, Xinchao Wang, Dacheng Tao
2020 J jnl
Repulsive Mixture Models of Exponential Family PCA for Clustering.
CoRR
Maoying Qiao, Tongliang Liu, Jun Yu, Wei Bian, Dacheng Tao
2019 J jnl
Adapting Stochastic Block Models to Power-Law Degree Distributions.
CoRR
Maoying Qiao, Jun Yu, Wei Bian, Qiang Li, Dacheng Tao
2019 J jnl
Adapting Stochastic Block Models to Power-Law Degree Distributions.
IEEE Trans. Cybern.
Maoying Qiao, Jun Yu, Wei Bian, Qiang Li, Dacheng Tao
2019 J jnl
Diversified Hidden Markov Models for Sequential Labeling.
CoRR
Maoying Qiao, Wei Bian, Richard Yida Xu, Dacheng Tao
2017 J jnl
Diversified dictionaries for multi-instance learning.
Pattern Recognit.
Maoying Qiao, Liu Liu, Jun Yu, Chang Xu, Dacheng Tao
2017 A* conf
Improving Stochastic Block Models by Incorporating Power-Law Degree Characteristic.
IJCAI
Maoying Qiao, Jun Yu, Wei Bian, Qiang Li, Dacheng Tao
2016 A* conf
Conditional Graphical Lasso for Multi-label Image Classification.
CVPR
Qiang Li, Maoying Qiao, Wei Bian, Dacheng Tao
2016 A* conf
Diversified hidden Markov models for sequential labeling.
ICDE
Maoying Qiao, Wei Bian, Richard Yi Da Xu, Dacheng Tao
2016 — —
Diversified probabilistic graphical models
Maoying Qiao
2016 J jnl
Fast Sampling for Time-Varying Determinantal Point Processes.
ACM Trans. Knowl. Discov. Data
Maoying Qiao, Richard Yi Da Xu, Wei Bian, Dacheng Tao
2015 J jnl
Diversified Hidden Markov Models for Sequential Labeling.
IEEE Trans. Knowl. Data Eng.
Maoying Qiao, Wei Bian, Richard Yi Da Xu, Dacheng Tao
2011 J jnl
3D human posture segmentation by spectral clustering with surface normal constraint.
Signal Process.
Jun Cheng, Maoying Qiao, Wei Bian, Dacheng Tao