Qingqiang Wu

According to our database, Qingqiang Wu authored at least 44 papers between 2009 and 2024.

Collaborative distances:

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

2024

A Distance Transformation Deep Forest Framework With Hybrid-Feature Fusion for CXR Image Classification.

Qingqi Hong, Lingli Lin, Zihan Li, Qingde Li, Junfeng Yao, Qingqiang Wu, Kunhong Liu, Jie Tian

IEEE Trans. Neural Networks Learn. Syst., October, 2024

Retrieval Contrastive Learning for Aspect-Level Sentiment Classification.

ZhongQuan Jian, Jiajian Li, Qingqiang Wu, Junfeng Yao

Inf. Process. Manag., January, 2024

Conversation Clique-Based Model for Emotion Recognition In Conversation.

Zhongquan Jian, Jiajian Li, Junfeng Yao, Meihong Wang, Qingqiang Wu

Proceedings of the IEEE International Conference on Acoustics, 2024

ControlNeRF: Text-Driven 3D Scene Stylization via Diffusion Model.

Jiahui Chen, Chuanfeng Yang, Kaiheng Li, Qingqiang Wu, Qingqi Hong

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2024, 2024

iCCBT, an Interactive Approach of CBT for Online Psychological Intervention.

Yuhan Liao, Fang Liu, Lin Lin, Mingbo Hou, Yingying She, Hang Wu, Bin Hu, Qingqiang Wu

Proceedings of the 27th International Conference on Computer Supported Cooperative Work in Design, 2024

EmoTrans: Emotional Transition-based Model for Emotion Recognition in Conversation.

Zhongquan Jian, Ante Wang, Jinsong Su, Junfeng Yao, Meihong Wang, Qingqiang Wu

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2023

A self-adaptive soft-recoding strategy for performance improvement of error-correcting output codes.

Guangyi Lin, Jie Gao, Nan Zeng, Yong Xu, Kunhong Liu, Beizhan Wang, Junfeng Yao, Qingqiang Wu

Pattern Recognit., November, 2023

Feature Elimination through Data Complexity for Error-Correcting Output Codes based micro-expression recognition.

Mengxin Sun, Li-Yan Chen, Kunhong Liu, Sze-Teng Liong, Qingqiang Wu

Signal Process. Image Commun., July, 2023

A Genetic Algorithm-Based Ensemble Learning Framework for Drug Combination Prediction.

Lianlian Wu, Xiaona Ye, Yixin Zhang, Jie Gao, Zhikai Lin, Binsheng Sui, Yuqi Wen, Qingqiang Wu, Kunhong Liu, Song He, Xiaochen Bo

J. Chem. Inf. Model., June, 2023

Block Division Convolutional Network With Implicit Deep Features Augmentation for Micro-Expression Recognition.

Bin Chen, Kunhong Liu, Yong Xu, Qingqiang Wu, Junfeng Yao

IEEE Trans. Multim., 2023

The design of error-correcting output codes based deep forest for the micro-expression recognition.

Wei-Ping Lin, Qi-Chao Ge, Sze-Teng Liong, Jia-Tong Liu, Kunhong Liu, Qingqiang Wu

Appl. Intell., 2023

Combining Structure Embedding and Text Semantics for Efficient Knowledge Graph Completion.

Wen Sun, Yifan Li, Junfeng Yao, Qingqiang Wu, Kunhong Liu

Proceedings of the 35th International Conference on Software Engineering and Knowledge Engineering, 2023

Cluster Equality Validity Index and Efficient Clustering Optimization Strategy.

Zebin Huang, Ning Yu, Qingqiang Wu, Kunhong Liu

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023

A Long-Tail Relation Extraction Model Based on Dependency Path and Relation Graph Embedding.

Yifan Li, Yanxiang Zong, Wen Sun, Qingqiang Wu, Qingqi Hong

Proceedings of the Web and Big Data - 7th International Joint Conference, 2023

Knowledge Graph Embedding with Relation Rotation and Entity Adjustment by Quaternions.

Wen Sun, Qingqiang Wu, Xiaoli Wang, Junfeng Yao, Zhifeng Bao

Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023

2022

The design of evolutionary feature selection operator for the micro-expression recognition.

Zhan WangPing, Min Jiang, Junfeng Yao, KunHong Liu, Qingqiang Wu

Memetic Comput., 2022

Feature space and label space selection based on Error-correcting output codes for partial label learning.

Guangyi Lin, Zi-Yang Xiao, Jia-Tong Liu, Beizhan Wang, KunHong Liu, Qingqiang Wu

Inf. Sci., 2022

Effective knowledge graph embeddings based on multidirectional semantics relations for polypharmacy side effects prediction.

Junfeng Yao, Wen Sun, ZhongQuan Jian, Qingqiang Wu, Xiaoli Wang

Bioinform., 2022

The heterogeneous ensemble of deep forest and deep neural networks for micro-expressions recognition.

Mengxin Sun, Sze-Teng Liong, Kun-Hong Liu, Qingqiang Wu

Appl. Intell., 2022

The design of soft recoding-based strategies for improving error-correcting output codes.

KunHong Liu, Xiao-Na Ye, Hong-Zhou Guo, Qingqiang Wu, Qingqi Hong

Appl. Intell., 2022

The design of error-correcting output codes algorithm for the open-set recognition.

KunHong Liu, Zhan WangPing, Yi-Fan Liang, Ya-Nan Zhang, Hong-Zhou Guo, Junfeng Yao, Qingqiang Wu, Qingqi Hong

Appl. Intell., 2022

2021

The design of dynamic ensemble selection strategy for the error-correcting output codes family.

JiaYu Zou, Mengxin Sun, Kun-Hong Liu, Qingqiang Wu

Inf. Sci., 2021

Multi-modal neural machine translation with deep semantic interactions.

Jinsong Su, Jinchang Chen, Hui Jiang, Chulun Zhou, Huan Lin, Yubin Ge, Qingqiang Wu, Yongxuan Lai

Inf. Sci., 2021

A direct slicing technique for the 3D printing of implicitly represented medical models.

Qingqi Hong, Lingli Lin, Qingde Li, Ziyou Jiang, Jun Fang, Beizhan Wang, KunHong Liu, Qingqiang Wu, Chenxi Huang

Comput. Biol. Medicine, 2021

UFaceNet: Research on Multi-Task Face Recognition Algorithm Based on CNN.

Huoyou Li, Jianshiun Hu, Jingwen Yu, Ning Yu, Qingqiang Wu

Algorithms, 2021

A Multi-Resolution Deep Forest Framework with Hybrid Feature Fusion for CT Whole Heart Segmentation.

Fei Xu, Lingli Lin, Dihan Li, Qingqi Hong, KunHong Liu, Qingqiang Wu, Qingde Li, Yinhuan Zheng, Jie Tian

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

Exploring Dynamic Selection of Branch Expansion Orders for Code Generation.

Hui Jiang, Chulun Zhou, Fandong Meng, Biao Zhang, Jie Zhou, Degen Huang, Qingqiang Wu, Jinsong Su

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

Stacked Model with Autoencoder for Financial Time Series Prediction.

Haiying Zhang, Qiaomei Liang, Rongqi Wang, Qingqiang Wu

Proceedings of the 15th International Conference on Computer Science & Education, 2020

ACOL-GAN: Learning Clustering Generative Adversarial Networks through Graph-Based Activity Regularization.

Songyuan Wu, Liyao Jiao, Qingqiang Wu

Proceedings of the ICCAI '20: 2020 6th International Conference on Computing and Artificial Intelligence, 2020

2019

Frontier knowledge discovery and visualization in cancer field based on KOS and LDA.

Qingqiang Wu, Yichen Kuang, Qingqi Hong, Yingying She

Scientometrics, 2019

A novel ECOC algorithm for multiclass microarray data classification based on data complexity analysis.

MengXin Sun, KunHong Liu, Qingqiang Wu, Qingqi Hong, Beizhan Wang, Haiying Zhang

Pattern Recognit., 2019

2017

Research of Advanced GTM and Its Application to Gas-Oil Reservoir Identification.

Meihong Wang, Qingqiang Wu

Int. J. Pattern Recognit. Artif. Intell., 2017

2016

An implicit skeleton-based method for the geometry reconstruction of vasculatures.

Qingqi Hong, Yan Li, Qingde Li, Beizhan Wang, Junfeng Yao, Qingqiang Wu, Yingying She

Vis. Comput., 2016

An improved hash-based RFID two-way security authentication protocol and application in remote education.

Lvqing Yang, Qingqiang Wu, Youjing Bai, Huiru Zheng, Shufu Lin

J. Intell. Fuzzy Syst., 2016

2015

K-State automaton burst detection model based on KOS: Emerging trends in cancer field.

Qingqiang Wu, Haibin Zhang, Jing Lan

J. Inf. Sci., 2015

The potential relationship discovery model based on result fusion for biomedical medicine research.

Yingying She, Xiaoxia Zhang, Qian Wang, Qingqiang Wu

J. Inf. Sci., 2015

Fast and High Quality Suggestive Contour Generation with L0 Gradient Minimization.

Juncong Lin, Huiting Yang, Dazheng Wang, Guilin Li, Xing Gao, Qingqiang Wu, Minghong Liao

Proceedings of the Advances in Swarm and Computational Intelligence, 2015

2014

Topic-aware pivot language approach for statisticalmachine translation.

Jinsong Su, Xiaodong Shi, Yanzhou Huang, Yang Liu, Qingqiang Wu, Yidong Chen, Huailin Dong

J. Zhejiang Univ. Sci. C, 2014

Topic evolution based on LDA and HMM and its application in stem cell research.

Qingqiang Wu, CaiDong Zhang, Qingqi Hong, Liyan Chen

J. Inf. Sci., 2014

Emerging Topic Detection Model Based on LDA and Its Application in Stem Cell Field.

Qingqiang Wu, Yan Zheng, Yingying She, Xinying An

Proceedings of the 17th IEEE International Conference on Computational Science and Engineering, 2014

2013

Topic segmentation model based on ATNLDA and co-occurrence theory and its application in stem cell field.

Qingqiang Wu, CaiDong Zhang, Xinying An

J. Inf. Sci., 2013

2011

Co-word analysis of the trends in stem cells field based on subject heading weighting.

Xinying An, Qingqiang Wu

Scientometrics, 2011

The Design of Evolutionary Multiple Classifier System for the Classification of Microarray Data.

Kun-Hong Liu, Qingqiang Wu, Meihong Wang

Proceedings of the Advances in Neural Networks - ISNN 2011, 2011

2009

Microarray data classification based on ensemble independent component selection.

Kun-Hong Liu, Bo Li, Qingqiang Wu, Jun Zhang, Ji-Xiang Du, Guo-Yan Liu

Comput. Biol. Medicine, 2009