Yong Feng

According to our database, Yong Feng authored at least 46 papers between 2005 and 2024.

Collaborative distances:

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

2024

A Blind Video Quality Assessment Method via Spatiotemporal Pyramid Attention.

Wenhao Shen, Mingliang Zhou, Xuekai Wei, Heqiang Wang, Bin Fang, Cheng Ji, Xu Zhuang, Jason Wang, Jun Luo, Huayan Pu, Xiaoxu Huang, Shilong Wang, Huajun Cao, Yong Feng, Tao Xiang, Zhaowei Shang

IEEE Trans. Broadcast., March, 2024

Deep Multiscale Fine-Grained Hashing for Remote Sensing Cross-Modal Retrieval.

Jiaxiang Huang, Yong Feng, Mingliang Zhou, Xiancai Xiong, Yongheng Wang, Baohua Qiang

IEEE Geosci. Remote. Sens. Lett., 2024

2023

TIAR: Text-Image-Audio Retrieval with weighted multimodal re-ranking.

Peide Chi, Yong Feng, Mingliang Zhou, Xiancai Xiong, Yongheng Wang, Baohua Qiang

Appl. Intell., October, 2023

A Jointly Guided Deep Network for Fine-Grained Cross-Modal Remote Sensing Text-Image Retrieval.

Lei Yang, Yong Feng, Mingliang Zhou, Xiancai Xiong, Yongheng Wang, Baohua Qiang

J. Circuits Syst. Comput., September, 2023

Multilevel Similarity-Aware Deep Metric Learning for Fine-Grained Image Retrieval.

Congcong Duan, Yong Feng, Mingliang Zhou, Xiancai Xiong, Yongheng Wang, Baohua Qiang, Weijia Jia

IEEE Trans. Ind. Informatics, August, 2023

Multi-level network based on transformer encoder for fine-grained image-text matching.

Lei Yang, Yong Feng, Mingliang Zhou, Xiancai Xiong, Yongheng Wang, Baohua Qiang

Multim. Syst., August, 2023

Improve Session-Based Recommendation with Triplet Mining and Dynamic Perturbations Graph Neural Networks.

Jiayi Zhu, Yong Feng, Mingliang Zhou, Xiancai Xiong, Yongheng Wang, Yu Xia, Baohua Qiang, Qin Mao, Bin Fang

Int. J. Pattern Recognit. Artif. Intell., May, 2023

Multi-modal transformer using two-level visual features for fake news detection.

Bin Wang, Yong Feng, Xiancai Xiong, Yongheng Wang, Baohua Qiang

Appl. Intell., May, 2023

Joint Robust Representation And Generalization Enhancement For Cross-Modality Person Re-Identification.

Heqing Cheng, Yong Feng, Mingliang Zhou, Xiancai Xiong, Yongheng Wang, Baohua Qiang

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Clustering-Based Semi-Supervised Cross-Modal Retrieval Using Scene Graph.

Yixue Kong, Yong Feng, Mingliang Zhou, Xiancai Xiong, Yongheng Wang, Baohua Qiang

J. Circuits Syst. Comput., 2022

2021

Receptive Field Fusion RetinaNet for Object Detection.

He Huang, Yong Feng, Mingliang Zhou, Baohua Qiang, Jielu Yan, Ran Wei

J. Circuits Syst. Comput., 2021

Prototype-Based Discriminative Feature Representation for Class-incremental Cross-modal Retrieval.

Shaoquan Zhu, Yong Feng, Mingliang Zhou, Baohua Qiang, Bin Fang, Ran Wei

Int. J. Pattern Recognit. Artif. Intell., 2021

Semantic ranking structure preserving for cross-modal retrieval.

Hui Liu, Yong Feng, Mingliang Zhou, Baohua Qiang

Appl. Intell., 2021

Distribution-Aware Hierarchical Weighting Method for Deep Metric Learning.

Yinong Zhu, Yong Feng, Mingliang Zhou, Baohua Qiang, Leong Hou U, Jiajie Zhu

Proceedings of the IEEE International Conference on Acoustics, 2021

Deep Adversarial Quantization Network for Cross-Modal Retrieval.

Yu Zhou, Yong Feng, Mingliang Zhou, Baohua Qiang, Leong Hou U, Jiajie Zhu

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

DSRPH: Deep semantic-aware ranking preserving hashing for efficient multi-label image retrieval.

Yiming Shen, Yong Feng, Bin Fang, Mingliang Zhou, Sam Kwong, Baohua Qiang

Inf. Sci., 2020

Adversarial Metric Learning with Naive Similarity Discriminator.

Yi-Ze Le, Yong Feng, Dajiang Liu, Baohua Qiang

IEICE Trans. Inf. Syst., 2020

FRWCAE: joint faster-RCNN and Wasserstein convolutional auto-encoder for instance retrieval.

Yi-yang Zhang, Yong Feng, Dajiang Liu, Jiaxing Shang, Baohua Qiang

Appl. Intell., 2020

Attention-Aware Joint Location Constraint Hashing for Multi-Label Image Retrieval.

Yingqi Zhang, Yong Feng, Jiaxing Shang, Mingliang Zhou, Baohua Qiang

IEEE Access, 2020

A Deep Sequence-to-Sequence Method for Aircraft Landing Speed Prediction Based on QAR Data.

Zongwei Kang, Jiaxing Shang, Yong Feng, Linjiang Zheng, Dajiang Liu, Baohua Qiang, Ran Wei

Proceedings of the Web Information Systems Engineering - WISE 2020, 2020

Relationship-Aware Hard Negative Generation in Deep Metric Learning.

Jiaqi Huang, Yong Feng, Mingliang Zhou, Baohua Qiang

Proceedings of the Knowledge Science, Engineering and Management, 2020

ITDT: An Iterative Decision Tree-based Approach for Telecom Customer Classification.

Jiaxing Shang, Ziwei Jin, Yong Feng, Ran Wei, Baohua Qiang, Wu Xie

Proceedings of the IEEE International Conference on Parallel & Distributed Processing with Applications, 2020

2019

Data-Flow Graph Mapping Optimization for CGRA With Deep Reinforcement Learning.

Dajiang Liu, Shouyi Yin, Guojie Luo, Jiaxing Shang, Leibo Liu, Shaojun Wei, Yong Feng, Shangbo Zhou

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2019

TDCTFIC: A Novel Recommendation Framework Fusing Temporal Dynamics, CNN-Based Text Features and Item Correlation.

Meng Ting Xiong, Yong Feng, Ting Wu, Jiaxing Shang, Baohua Qiang, Yanan Wang

IEICE Trans. Inf. Syst., 2019

2018

Density core-based clustering algorithm with dynamic scanning radius.

Jiang Xie, Zhong-Yang Xiong, Yu-Fang Zhang, Yong Feng, Jie Ma

Knowl. Based Syst., 2018

A Novel Recommendation Algorithm Incorporating Temporal Dynamics, Reviews and Item Correlation.

Ting Wu, Yong Feng, Jiaxing Sang, Baohua Qiang, Yanan Wang

IEICE Trans. Inf. Syst., 2018

LAIM: A Linear Time Iterative Approach for Efficient Influence Maximization in Large-Scale Networks.

Hongchun Wu, Jiaxing Shang, Shangbo Zhou, Yong Feng, Baohua Qiang, Wu Xie

IEEE Access, 2018

Wasserstein Generative Recurrent Adversarial Networks for Image Generating.

Chunping Zhang, Yong Feng, Baohua Qiang, Jiaxing Shang

Proceedings of the 24th International Conference on Pattern Recognition, 2018

SCE-MSPFS: A Novel Deep Convolutional Feature Selection Method for Image Retrieval.

Dong-dong Niu, Yong Feng, Jiaxing Shang, Baohua Qiang

Proceedings of the Neural Information Processing - 25th International Conference, 2018

2017

A Linear Time Algorithm for Influence Maximization in Large-Scale Social Networks.

Hongchun Wu, Jiaxing Shang, Shangbo Zhou, Yong Feng

Proceedings of the Neural Information Processing - 24th International Conference, 2017

App Uninstalls Prediction: A Machine Learning and Time Series Mining Approach.

Jiaxing Shang, Jinghao Wang, Ge Liu, Hongchun Wu, Shangbo Zhou, Yong Feng

Proceedings of the Neural Information Processing - 24th International Conference, 2017

2016

Improving Temporal Recommendation Accuracy and Diversity via Long and Short-Term Preference Transfer and Fusion Models.

Bei Zhang, Yong Feng

Proceedings of the Web Technologies and Applications - 18th Asia-Pacific Web Conference, 2016

2010

An enhanced swarm intelligence clustering-based RBFNN classifier and its application in deep Web sources classification.

Yong Feng, Zhongfu Wu, Jiang Zhong, Chunxiao Ye, Kaigui Wu

Frontiers Comput. Sci. China, 2010

Deep Web Sources Classifier Based on DSOM-EACO Clustering Model.

Yong Feng, Xianyong Chen, Zhen Chen

Proceedings of the Advanced Data Mining and Applications - 6th International Conference, 2010

2009

An Enhanced Swarm Intelligence Clustering-Based RBF Neural Network Web Text Classifier.

Yong Feng, Zhongfu Wu, Jiang Zhong, Chunxiao Ye, Kaigui Wu

Proceedings of the Advances in Neural Networks, 2009

2008

Intrusion Detection Based on Density Level Sets Estimation.

Jiang Zhong, Luosheng Wen, Yong Feng, Chunxiao Ye

Proceedings of The 2008 IEEE International Conference on Networking, 2008

Revocation in an Attribute-Based Delegation Model.

Chunxiao Ye, Zhongfu Wu, Jiang Zhong, Yong Feng

Proceedings of The 2008 IEEE International Conference on Networking, 2008

A Novel Authentication Mechanism Based on CGA for BU Message Disposal in Mobile IPv6.

Yong Feng, Zhongfu Wu, Jiang Zhong, Chunxiao Ye, Kaigui Wu

Proceedings of The 2008 IEEE International Conference on Networking, 2008

An Enhanced Swarm Intelligence Clustering-Based RBF Neural Network Detection Classifier.

Yong Feng, Zhongfu Wu, Jiang Zhong, Chunxiao Ye, Kaigui Wu

Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, 2008

2007

An Adaptive Classifier Based on Artificial Immune Network.

Zhiguo Li, Jiang Zhong, Yong Feng, Zhongfu Wu

Proceedings of the Life System Modeling and Simulation, International Conference, 2007

Network Anomaly Detection Based on DSOM and ACO Clustering.

Yong Feng, Jiang Zhong, Zhongyang Xiong, Chunxiao Ye, Kaigui Wu

Proceedings of the Advances in Neural Networks, 2007

Artificial Immune Networks Based Radial Basic Function Neural Networks Construction Algorithm and Application.

Jiang Zhong, Yong Feng, Chunxiao Ye, Ling Ou, Zhiguo Li

Proceedings of the Third International Conference on Natural Computation, 2007

2006

Neuron Selection for RBF Neural Network Classifier Based on Multiple Granularities Immune Network.

Jiang Zhong, Chunxiao Ye, Yong Feng, Ying Zhou, Zhongfu Wu

Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006

Intrusion Detection Based on Adaptive RBF Neural Network.

Jiang Zhong, Zhiguo Li, Yong Feng, Chunxiao Ye

Proceedings of the Sixth International Conference on Intelligent Systems Design and Applications (ISDA 2006), 2006

Clustering based on Self-Organizing Ant Colony Networks with Application to Intrusion Detection.

Yong Feng, Jiang Zhong, Chunxiao Ye, Zhongfu Wu

Proceedings of the Sixth International Conference on Intelligent Systems Design and Applications (ISDA 2006), 2006

2005

Intrusion Detection Based on Dynamic Self-organizing Map Neural Network Clustering.

Yong Feng, Kaigui Wu, Zhongfu Wu, Zhongyang Xiong

Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005