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2020 – today
- 2024
[c11]Yu Chen, Fei Gao, Yanguang Zhang, Maoying Qiao, Nannan Wang:
Generating Handwritten Mathematical Expressions From Symbol Graphs: An End-to-End Pipeline. CVPR 2024: 15675-15685- [c10]Junkai Fang, Nan Fang, Fei Huang, Jinglin Zhou, Maoying Qiao, Fei Gao:
Learning Discriminative Style Representations for Unsupervised and Few-Shot Artistic Portrait Drawing Generation. ICASSP 2024: 3675-3679 - [c9]Fei Gao, Lingna Dai, Jingjie Zhu, Mei Du, Yiyuan Zhang, Maoying Qiao, Chenghao Xia, Nannan Wang, Peng Li:
Human-Robot Interactive Creation of Artistic Portrait Drawings. ICRA 2024: 11297-11304 - [c8]Fei Gao
, Yuhao Lin, Jiaqi Shi, Maoying Qiao, Nannan Wang:
AesMamba: Universal Image Aesthetic Assessment with State Space Models. ACM Multimedia 2024: 7444-7453 - [i7]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:
QUBIQ: Uncertainty Quantification for Biomedical Image Segmentation Challenge. CoRR abs/2405.18435 (2024) - 2023
- [j6]Yajing Kong, Liu Liu, Maoying Qiao, Zhen Wang, Dacheng Tao:
Trust-Region Adaptive Frequency for Online Continual Learning. Int. J. Comput. Vis. 131(7): 1825-1839 (2023) - 2022
- [c7]Wei Duan, Junyu Xuan, Maoying Qiao, Jie Lu:
Learning from the Dark: Boosting Graph Convolutional Neural Networks with Diverse Negative Samples. AAAI 2022: 6550-6558 - [i6]Wei Duan, Junyu Xuan, Maoying Qiao, Jie Lu:
Learning from the Dark: Boosting Graph Convolutional Neural Networks with Diverse Negative Samples. CoRR abs/2210.00728 (2022) - [i5]Wei Duan, Junyu Xuan, Maoying Qiao, Jie Lu:
Graph Convolutional Neural Networks with Diverse Negative Samples via Decomposed Determinant Point Processes. CoRR abs/2212.02055 (2022) - 2021
- [c6]Haifeng Shen, Kewen Liao, Zhibin Liao, Job N. Doornberg, Maoying Qiao, Anton van den Hengel, Johan W. Verjans:
Human-AI Interactive and Continuous Sensemaking: A Case Study of Image Classification using Scribble Attention Maps. CHI Extended Abstracts 2021: 290:1-290:8 - 2020
- [c5]Maoying Qiao, Jun Yu, Tongliang Liu, Xinchao Wang, Dacheng Tao:
Diversified Bayesian Nonnegative Matrix Factorization. AAAI 2020: 5420-5427 - [c4]Dadong Wang, Yulia Arzhaeva, Liton Devnath, Maoying Qiao, Saeed Amirgholipour, Qiyu Liao, Rhiannon McBean, James Hillhouse, Suhuai Luo, David Meredith, Katrina Newbigin, Deborah Yates:
Automated Pneumoconiosis Detection on Chest X-Rays Using Cascaded Learning with Real and Synthetic Radiographs. DICTA 2020: 1-6 - [i4]Maoying Qiao, Jun Yu, Wei Bian, Dacheng Tao:
Detecting Communities in Heterogeneous Multi-Relational Networks: A Message Passing based Approach. CoRR abs/2004.02842 (2020) - [i3]Maoying Qiao, Tongliang Liu, Jun Yu, Wei Bian, Dacheng Tao:
Repulsive Mixture Models of Exponential Family PCA for Clustering. CoRR abs/2004.03112 (2020)
2010 – 2019
- 2019
- [j5]Maoying Qiao, Jun Yu, Wei Bian, Qiang Li, Dacheng Tao:
Adapting Stochastic Block Models to Power-Law Degree Distributions. IEEE Trans. Cybern. 49(2): 626-637 (2019) - [i2]Maoying Qiao, Wei Bian, Richard Yida Xu, Dacheng Tao:
Diversified Hidden Markov Models for Sequential Labeling. CoRR abs/1904.03170 (2019) - [i1]Maoying Qiao, Jun Yu, Wei Bian, Qiang Li, Dacheng Tao:
Adapting Stochastic Block Models to Power-Law Degree Distributions. CoRR abs/1904.05335 (2019) - 2017
- [j4]Maoying Qiao, Liu Liu, Jun Yu, Chang Xu, Dacheng Tao:
Diversified dictionaries for multi-instance learning. Pattern Recognit. 64: 407-416 (2017) - [c3]Maoying Qiao, Jun Yu, Wei Bian, Qiang Li, Dacheng Tao:
Improving Stochastic Block Models by Incorporating Power-Law Degree Characteristic. IJCAI 2017: 2620-2626 - 2016
- [b1]Maoying Qiao:
Diversified probabilistic graphical models. University of Technology Sydney, Australia, 2016 - [j3]Maoying Qiao, Richard Yi Da Xu, Wei Bian, Dacheng Tao:
Fast Sampling for Time-Varying Determinantal Point Processes. ACM Trans. Knowl. Discov. Data 11(1): 8:1-8:24 (2016) - [c2]Qiang Li, Maoying Qiao, Wei Bian, Dacheng Tao:
Conditional Graphical Lasso for Multi-label Image Classification. CVPR 2016: 2977-2986 - [c1]Maoying Qiao, Wei Bian, Richard Yi Da Xu, Dacheng Tao:
Diversified hidden Markov models for sequential labeling. ICDE 2016: 1512-1513 - 2015
- [j2]Maoying Qiao, Wei Bian, Richard Yi Da Xu, Dacheng Tao:
Diversified Hidden Markov Models for Sequential Labeling. IEEE Trans. Knowl. Data Eng. 27(11): 2947-2960 (2015) - 2011
- [j1]Jun Cheng, Maoying Qiao, Wei Bian, Dacheng Tao:
3D human posture segmentation by spectral clustering with surface normal constraint. Signal Process. 91(9): 2204-2212 (2011)
Coauthor Index
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