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2020 – today
- 2025
[j22]Zixiang Lu
, Bujia Tian, Ping Gao, Qiguang Miao, Kun Xie, Ruyi Liu, Yi-Ning Quan:
A video course enhancement technique utilizing generated talking heads. Neural Comput. Appl. 37(19): 13267-13282 (2025)- 2024
- [j21]Xunlian Wu, Wanying Lu, Yi-Ning Quan, Qiguang Miao, Peng Gang Sun:
Deep Dual Graph attention Auto-Encoder for community detection. Expert Syst. Appl. 238(Part E): 122182 (2024) - [j20]Xiangzeng Liu, Kunpeng Liu, Jianfeng Guo, Peipei Zhao, Yi-Ning Quan, Qiguang Miao:
Pose-Guided Attention Learning for Cloth-Changing Person Re-Identification. IEEE Trans. Multim. 26: 5490-5498 (2024) - [i1]Xunlian Wu, Jingqi Hu, Anqi Zhang, Yi-Ning Quan, Qiguang Miao, Peng Gang Sun:
Structure-enhanced Contrastive Learning for Graph Clustering. CoRR abs/2408.09790 (2024) - 2023
- [j19]Peipei Zhao, Qiguang Miao, Hongsheng Li, Ruyi Liu, Yi-Ning Quan, Jianfeng Song:
Refined probability distribution module for fine-grained visual categorization. Neurocomputing 518: 533-544 (2023) - [j18]Peng Gang Sun, Xunlian Wu, Yi-Ning Quan, Qiguang Miao:
Rearranging 'indivisible' Blocks for Community Detection. IEEE Trans. Knowl. Data Eng. 35(6): 6252-6263 (2023) - 2021
- [j17]Dazhuang Liu, Yutao Qi, Rui Yang, Yi-Ning Quan, Xiaodong Li, Qiguang Miao:
A tri-objective preference-based uniform weight design method using Delaunay triangulation. Soft Comput. 25(15): 9703-9729 (2021) - 2020
- [j16]Peng Gang Sun, Yi-Ning Quan, Qiguang Miao:
Interdependent Patterns in Protein-Protein Interaction Networks. IEEE Trans. Netw. Sci. Eng. 7(4): 3257-3265 (2020)
2010 – 2019
- 2019
- [j15]Ruyi Liu, Qiguang Miao, Jianfeng Song, Yi-Ning Quan, Yunan Li, Pengfei Xu, Jing Dai:
Multiscale road centerlines extraction from high-resolution aerial imagery. Neurocomputing 329: 384-396 (2019) - [c5]Yunan Li, Qiguang Miao, Wanli Ouyang, Zhenxin Ma, Huijuan Fang, Chao Dong, Yi-Ning Quan:
LAP-Net: Level-Aware Progressive Network for Image Dehazing. ICCV 2019: 3275-3284 - 2018
- [j14]Yutao Qi, Jusheng Yu, Xiaodong Li, Yi-Ning Quan, Qiguang Miao:
Enhancing robustness of the inverted PBI scalarizing method in MOEA/D. Appl. Soft Comput. 71: 1117-1132 (2018) - [j13]Yunan Li, Qiguang Miao, Ruyi Liu, Jianfeng Song, Yi-Ning Quan, Yuhui Huang:
A multi-scale fusion scheme based on haze-relevant features for single image dehazing. Neurocomputing 283: 73-86 (2018) - [j12]Peng Gang Sun, Yi-Ning Quan, Qiguang Miao, Juan Chi:
Identifying influential genes in protein-protein interaction networks. Inf. Sci. 454-455: 229-241 (2018) - [j11]Yi-Ning Quan, Yuanyuan Shi, Qiguang Miao, Yutao Qi:
A Combinatorial Solution to Point Symbol Recognition. Sensors 18(10): 3403 (2018) - 2017
- [j10]Yutao Qi, Qingsai Zhang, Xiaoliang Ma, Yi-Ning Quan, Qiguang Miao:
Utopian point based decomposition for multi-objective optimization problems with complicated Pareto fronts. Appl. Soft Comput. 61: 844-859 (2017) - [j9]Qiguang Miao, Ruyi Liu, Yi-Ning Quan, Jianfeng Song:
Remote sensing image fusion based on shearlet and genetic algorithm. Int. J. Bio Inspired Comput. 9(4): 240-250 (2017) - [j8]Yi-Ning Quan, Jianfeng Song, Xue Guo, Qiguang Miao, Yun Yang:
Filtering LiDAR data based on adjacent triangle of triangulated irregular network. Multim. Tools Appl. 76(8): 11051-11063 (2017) - 2016
- [j7]Jiachen Liu, Qiguang Miao, Yanan Sun, Jianfeng Song, Yi-Ning Quan:
Modular ensembles for one-class classification based on density analysis. Neurocomputing 171: 262-276 (2016) - [j6]Yunan Li, Qiguang Miao, Jianfeng Song, Yi-Ning Quan, Weisheng Li:
Single image haze removal based on haze physical characteristics and adaptive sky region detection. Neurocomputing 182: 221-234 (2016) - [j5]Tiange Liu, Qiguang Miao, Pengfei Xu, Jianfeng Song, Yi-Ning Quan:
Color topographical map segmentation Algorithm based on linear element features. Multim. Tools Appl. 75(10): 5417-5438 (2016) - [j4]Jiachen Liu, Qiguang Miao, Yanan Sun, Jianfeng Song, Yi-Ning Quan:
Fast structural ensemble for One-Class Classification. Pattern Recognit. Lett. 80: 179-187 (2016) - 2015
- [j3]Jiachen Liu, Jianfeng Song, Qiguang Miao, Ying Cao, Yi-Ning Quan:
An Ensemble Cost-Sensitive One-Class Learning Framework for Malware Detection. Int. J. Pattern Recognit. Artif. Intell. 29(5): 1550018:1-1550018:27 (2015) - [j2]Qiguang Miao, Ying Cao, Jianfeng Song, Jiachen Liu, Yi-Ning Quan:
BoostFS: A Boosting-Based Irrelevant Feature Selection Algorithm. Int. J. Pattern Recognit. Artif. Intell. 29(7): 1551011:1-1551011:18 (2015) - [j1]Xing Tang, Qiguang Miao, Yi-Ning Quan, Jie Tang, Kai Deng:
Predicting individual retweet behavior by user similarity: A multi-task learning approach. Knowl. Based Syst. 89: 681-688 (2015) - [c4]Qiguang Miao, Ruyi Liu, Yiding Wang, Jianfeng Song, Yi-Ning Quan, Yunan Li:
Remote Sensing Image Fusion Based on Shearlet and Genetic Algorithm. BIC-TA 2015: 283-294 - [c3]Xing Tang, Yi-Ning Quan, Qiguang Miao, Ruihong Hou, Kai Deng:
Information Propagation with Retweet Probability on Online Social Network. ICYCSEE 2015: 326-333 - 2014
- [c2]Qiguang Miao, Xing Tang, Yi-Ning Quan, Kai Deng:
Detecting Circles on Ego Network Based on Structure. CIS 2014: 213-217 - [c1]Qiguang Miao, Xing Tang, Yi-Ning Quan:
A Novel Email Virus Propagation Model with Local Group. UIC/ATC/ScalCom 2014: 331-336
Coauthor Index
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