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A Full-Reference Image Quality Assessment Method via Deep Meta-Learning and Conformer Journal article
Lang, Shujun, Liu, Xu, Zhou, Mingliang, Luo, Jun, Pu, Huayan, Zhuang, Xu, Wang, Jason, Wei, Xuekai, Zhang, Taiping, Feng, Yong, Shang, Zhaowei. A Full-Reference Image Quality Assessment Method via Deep Meta-Learning and Conformer[J]. IEEE Transactions on Broadcasting, 2024, 70(1), 316-324.
Authors:  Lang, Shujun;  Liu, Xu;  Zhou, Mingliang;  Luo, Jun;  Pu, Huayan; et al.
Favorite | TC[WOS]:6 TC[Scopus]:5  IF:3.2/3.6 | Submit date：2024/02/22
Conformer  Deep Learning  Distortion  Feature Extraction  Full-reference Image Quality Assessment  Image Quality  Knowledge-driven  Meta-learning  Metalearning  Task Analysis  Visualization  
Multilevel Feature Fusion for End-to-End Blind Image Quality Assessment Journal article
Lan,Xuting, Zhou,Mingliang, Xu,Xueyong, Wei,Xuekai, Liao,Xingran, Pu,Huayan, Luo,Jun, Xiang,Tao, Fang,Bin, Shang,Zhaowei. Multilevel Feature Fusion for End-to-End Blind Image Quality Assessment[J]. IEEE Transactions on Broadcasting, 2023, 69(3), 801-811.
Authors:  Lan,Xuting;  Zhou,Mingliang;  Xu,Xueyong;  Wei,Xuekai;  Liao,Xingran; et al.
Favorite | TC[WOS]:15 TC[Scopus]:17  IF:3.2/3.6 | Submit date：2023/08/03
Blind Image Quality Assessment  Deep Learning  Distortion  Feature Extraction  Feature Extraction  Generative Adversarial Networks  Image Quality  Multilevel Feature Fusion  Predictive Models  Semantics  
A Lightweight Multi-Scale Based Attention Network for Image Super-Resolution Conference paper
Yang, Yanjie, Luo, Jun, Pu, Huayan, Zhou, Mingliang, Wei, Xuekai, Zhang, Taiping, Shang, Zhaowei. A Lightweight Multi-Scale Based Attention Network for Image Super-Resolution[C], 2023.
Authors:  Yang, Yanjie;  Luo, Jun;  Pu, Huayan;  Zhou, Mingliang;  Wei, Xuekai; et al.
Favorite | TC[Scopus]:0 | Submit date：2024/02/22
Attention  Lightweight  Multi-scale  Super-resolution  
Siamese networks with an online reweighted example for imbalanced data learning Journal article
Zhao, Linchang, Shang, Zhaowei, Tan, Jin, Zhou, Mingliang, Zhang, Mu, Gu, Dagang, Zhang, Taiping, Tang, Yuan Yan. Siamese networks with an online reweighted example for imbalanced data learning[J]. Pattern Recognition, 2022, 132, 108947.
Authors:  Zhao, Linchang;  Shang, Zhaowei;  Tan, Jin;  Zhou, Mingliang;  Zhang, Mu; et al.
Favorite | TC[WOS]:6 TC[Scopus]:7  IF:7.5/7.6 | Submit date：2023/01/30
Few-shot Learning  Reweighted Example Learning  Data Mining  Imbalanced Learning  
High-intensity interval training elicits more enjoyment and positive affective valence than moderate-intensity training over a 12-week intervention in overweight young women Journal article
Li,Feifei, Kong,Zhaowei, Zhu,Xiangui, Chow,Bik Chu, Zhang,Dandan, Liang,Wei, Shang,Borui, Liu,Yang, Zhang,Haifeng. High-intensity interval training elicits more enjoyment and positive affective valence than moderate-intensity training over a 12-week intervention in overweight young women[J]. Journal of Exercise Science and Fitness, 2022, 20(3), 249-255.
Authors:  Li,Feifei;  Kong,Zhaowei;  Zhu,Xiangui;  Chow,Bik Chu;  Zhang,Dandan; et al.
Adobe PDF | Favorite | TC[WOS]:9 TC[Scopus]:12  IF:2.4/2.8 | Submit date：2022/05/31
Affective Valence  Enjoyment  High-intensity Interval Training  Moderate-intensity Continuous Training  Pleasure  Repeated Sprint Interval Training  
Adaptive parameter estimation of GMM and its application in clustering Journal article
Zhao, Linchang, Shang, Zhaowei, Tan, Jin, Luo, Xiaoliu, Zhang, Taiping, Wei, Yu, Tang, Yuan Yan. Adaptive parameter estimation of GMM and its application in clustering[J]. Future Generation Computer Systems, 2020, 106, 250-259.
Authors:  Zhao, Linchang;  Shang, Zhaowei;  Tan, Jin;  Luo, Xiaoliu;  Zhang, Taiping; et al.
Favorite | TC[WOS]:6 TC[Scopus]:9  IF:6.2/5.9 | Submit date：2021/12/06
Machine Learning  Parameter Estimation  Data Clustering  Variational Bayesian Expected Maximum  
A cost-sensitive meta-learning classifier: SPFCNN-Miner Journal article
Zhao, Linchang, Shang, Zhaowei, Qin, Anyong, Zhang, Taiping, Zhao, Ling, Wei, Yu, Tang, Yuan Yan. A cost-sensitive meta-learning classifier: SPFCNN-Miner[J]. Future Generation Computer Systems, 2019, 100, 1031-1043.
Authors:  Zhao, Linchang;  Shang, Zhaowei;  Qin, Anyong;  Zhang, Taiping;  Zhao, Ling; et al.
Favorite | TC[WOS]:3 TC[Scopus]:5  IF:6.2/5.9 | Submit date：2022/05/17
Meta Learning  Few-shot Learning  Cost-sensitive Learning  Machine Learning  Siamese Parallel Fully-connected Networks  Data Mining  
Cauchy greedy algorithm for robust sparse recovery and multiclass classification Journal article
Wang, Yulong, Zou, Cuiming, Tang, Yuan Yan, Li, Luoqing, Shang, Zhaowei. Cauchy greedy algorithm for robust sparse recovery and multiclass classification[J]. Signal Processing, 2019, 164, 284-294.
Authors:  Wang, Yulong;  Zou, Cuiming;  Tang, Yuan Yan;  Li, Luoqing;  Shang, Zhaowei
Favorite | TC[WOS]:4 TC[Scopus]:4  IF:3.4/3.8 | Submit date：2022/05/17
Greedy Algorithm  Multiclass Classification  Robust Signal Recovery  
Software defect prediction via cost-sensitive Siamese parallel fully-connected neural networks Journal article
Zhao, Linchang, Shang, Zhaowei, Zhao, Ling, Zhang, Taiping, Tang, Yuan Yan. Software defect prediction via cost-sensitive Siamese parallel fully-connected neural networks[J]. Neurocomputing, 2019, 352, 64-74.
Authors:  Zhao, Linchang;  Shang, Zhaowei;  Zhao, Ling;  Zhang, Taiping;  Tang, Yuan Yan
Favorite | TC[WOS]:22 TC[Scopus]:35  IF:5.5/5.5 | Submit date：2022/05/17
Cost-sensitive Learning  Deep Learning  Few-shot Learning  Siamese Parallel Fully-connected Networks  Software Defect Prediction  
Cost-Sensitive SPFCNN Miner for Classification of Imbalanced Data Conference paper
LINCHANG ZHAO, ZHAOWEI SHANG, LING ZHAO, YU WEI, YUAN YAN TANG. Cost-Sensitive SPFCNN Miner for Classification of Imbalanced Data[C]:IEEE, 2019, 8946485.
Authors:  LINCHANG ZHAO;  ZHAOWEI SHANG;  LING ZHAO;  YU WEI;  YUAN YAN TANG
Favorite | TC[WOS]:0 TC[Scopus]:0 | Submit date：2022/05/17
Cost-sensitive Learning  Data Mining  Machine Learning  Siamese Parallel Fully-connected Networks