Yong Feng

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 33

Top Topics

Visual Features

Image Retrieval

Metric Learning

Top Venues

IEEE Trans. Broadcast.

J. Circuits Syst. Comput.

IEICE Trans. Inf. Syst.

Publications

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
A Blind Video Quality Assessment Method via Spatiotemporal Pyramid Attention. IEEE Trans. Broadcast. 70 (1) (2024)
Ya-ling Li, Yong Feng, Mingliang Zhou, Xiancai Xiong, Yongheng Wang, Baohua Qiang
DMA-YOLO: multi-scale object detection method with attention mechanism for aerial images. Vis. Comput. 40 (6) (2024)
Shujun Lang, Xu Liu, Mingliang Zhou, Jun Luo, Huayan Pu, Xu Zhuang, Jason Wang, Xuekai Wei, Taiping Zhang, Yong Feng, Zhaowei Shang
A Full-Reference Image Quality Assessment Method via Deep Meta-Learning and Conformer. IEEE Trans. Broadcast. 70 (1) (2024)
Jiaxiang Huang, Yong Feng, Mingliang Zhou, Xiancai Xiong, Yongheng Wang, Baohua Qiang
Deep Multiscale Fine-Grained Hashing for Remote Sensing Cross-Modal Retrieval. IEEE Geosci. Remote. Sens. Lett. 21 (2024)
Mingliang Zhou, Heqiang Wang, Xuekai Wei, Yong Feng, Jun Luo, Huayan Pu, Jinglei Zhao, Liming Wang, Zhigang Chu, Xin Wang, Bin Fang, Zhaowei Shang
HDIQA: A Hyper Debiasing Framework for Full Reference Image Quality Assessment. IEEE Trans. Broadcast. 70 (2) (2024)
Lei Yang, Yong Feng, Mingliang Zhou, Xiancai Xiong, Yongheng Wang, Baohua Qiang
Multi-level network based on transformer encoder for fine-grained image-text matching. Multim. Syst. 29 (4) (2023)
Bin Wang, Yong Feng, Xiancai Xiong, Yong-heng Wang, Baohua Qiang
Multi-modal transformer using two-level visual features for fake news detection. Appl. Intell. 53 (9) (2023)
Heqing Cheng, Yong Feng, Mingliang Zhou, Xiancai Xiong, Yongheng Wang, Baohua Qiang
Joint Robust Representation And Generalization Enhancement For Cross-Modality Person Re-Identification. ICASSP (2023)
Jiayi Zhu, Yong Feng, Mingliang Zhou, Xiancai Xiong, Yongheng Wang, Yu Xia, Baohua Qiang, Qin Mao, Bin Fang
Improve Session-Based Recommendation with Triplet Mining and Dynamic Perturbations Graph Neural Networks. Int. J. Pattern Recognit. Artif. Intell. 37 (6) (2023)
Peide Chi, Yong Feng, Mingliang Zhou, Xiancai Xiong, Yongheng Wang, Baohua Qiang
TIAR: Text-Image-Audio Retrieval with weighted multimodal re-ranking. Appl. Intell. 53 (19) (2023)
Congcong Duan, Yong Feng, Mingliang Zhou, Xiancai Xiong, Yongheng Wang, Baohua Qiang, Weijia Jia
Multilevel Similarity-Aware Deep Metric Learning for Fine-Grained Image Retrieval. IEEE Trans. Ind. Informatics 19 (8) (2023)
Lei Yang, Yong Feng, Mingling Zhou, Xiancai Xiong, Yongheng Wang, Baohua Qiang
A Jointly Guided Deep Network for Fine-Grained Cross-Modal Remote Sensing Text-Image Retrieval. J. Circuits Syst. Comput. 32 (13) (2023)
Yixue Kong, Yong Feng, Mingliang Zhou, Xiancai Xiong, Yongheng Wang, Baohua Qiang
Clustering-Based Semi-Supervised Cross-Modal Retrieval Using Scene Graph. J. Circuits Syst. Comput. 31 (12) (2022)
Hui Liu, Yong Feng, Mingliang Zhou, Baohua Qiang
Semantic ranking structure preserving for cross-modal retrieval. Appl. Intell. 51 (3) (2021)
He Huang, Yong Feng, Mingliang Zhou, Baohua Qiang, Jielu Yan, Ran Wei
Receptive Field Fusion RetinaNet for Object Detection. J. Circuits Syst. Comput. 30 (10) (2021)
Yu Zhou, Yong Feng, Mingliang Zhou, Baohua Qiang, Leong Hou U, Jiajie Zhu
Deep Adversarial Quantization Network for Cross-Modal Retrieval. ICASSP (2021)
Yinong Zhu, Yong Feng, Mingliang Zhou, Baohua Qiang, Leong Hou U, Jiajie Zhu
Distribution-Aware Hierarchical Weighting Method for Deep Metric Learning. ICASSP (2021)
Shaoquan Zhu, Yong Feng, Mingliang Zhou, Baohua Qiang, Bin Fang, Ran Wei
Prototype-Based Discriminative Feature Representation for Class-incremental Cross-modal Retrieval. Int. J. Pattern Recognit. Artif. Intell. 35 (5) (2021)
Yi-Ze Le, Yong Feng, Dajiang Liu, Baohua Qiang
Adversarial Metric Learning with Naive Similarity Discriminator. IEICE Trans. Inf. Syst. (6) (2020)
Zongwei Kang, Jiaxing Shang, Yong Feng, Linjiang Zheng, Dajiang Liu, Baohua Qiang, Ran Wei
A Deep Sequence-to-Sequence Method for Aircraft Landing Speed Prediction Based on QAR Data. WISE (2) (2020)
Yingqi Zhang, Yong Feng, Jiaxing Shang, Mingliang Zhou, Baohua Qiang
Attention-Aware Joint Location Constraint Hashing for Multi-Label Image Retrieval. IEEE Access 8 (2020)
Jiaxing Shang, Ziwei Jin, Yong Feng, Ran Wei, Baohua Qiang, Wu Xie
ITDT: An Iterative Decision Tree-based Approach for Telecom Customer Classification. ISPA/BDCloud/SocialCom/SustainCom (2020)
Yi-yang Zhang, Yong Feng, Dajiang Liu, Jiaxing Shang, Baohua Qiang
FRWCAE: joint faster-RCNN and Wasserstein convolutional auto-encoder for instance retrieval. Appl. Intell. 50 (7) (2020)
Yiming Shen, Yong Feng, Bin Fang, Mingliang Zhou, Sam Kwong, Baohua Qiang
DSRPH: Deep semantic-aware ranking preserving hashing for efficient multi-label image retrieval. Inf. Sci. 539 (2020)
Jiaqi Huang, Yong Feng, Mingliang Zhou, Baohua Qiang
Relationship-Aware Hard Negative Generation in Deep Metric Learning. KSEM (2) (2020)
Dajiang Liu, Shouyi Yin, Guojie Luo, Jiaxing Shang, Leibo Liu, Shaojun Wei, Yong Feng, Shangbo Zhou
Data-Flow Graph Mapping Optimization for CGRA With Deep Reinforcement Learning. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 38 (12) (2019)
Meng Ting Xiong, Yong Feng, Ting Wu, Jiaxing Shang, Baohua Qiang, Yanan Wang
TDCTFIC: A Novel Recommendation Framework Fusing Temporal Dynamics, CNN-Based Text Features and Item Correlation. IEICE Trans. Inf. Syst. (8) (2019)
Chunping Zhang, Yong Feng, Baohua Qiang, Jiaxing Shang
Wasserstein Generative Recurrent Adversarial Networks for Image Generating. ICPR (2018)
Ting Wu, Yong Feng, Jiaxing Sang, Baohua Qiang, Yanan Wang
A Novel Recommendation Algorithm Incorporating Temporal Dynamics, Reviews and Item Correlation. IEICE Trans. Inf. Syst. (8) (2018)
Hongchun Wu, Jiaxing Shang, Shangbo Zhou, Yong Feng, Baohua Qiang, Wu Xie
LAIM: A Linear Time Iterative Approach for Efficient Influence Maximization in Large-Scale Networks. IEEE Access 6 (2018)
Dong-dong Niu, Yong Feng, Jiaxing Shang, Baohua Qiang
SCE-MSPFS: A Novel Deep Convolutional Feature Selection Method for Image Retrieval. ICONIP (6) (2018)
Hongchun Wu, Jiaxing Shang, Shangbo Zhou, Yong Feng
A Linear Time Algorithm for Influence Maximization in Large-Scale Social Networks. ICONIP (5) (2017)
Jiaxing Shang, Jinghao Wang, Ge Liu, Hongchun Wu, Shangbo Zhou, Yong Feng
App Uninstalls Prediction: A Machine Learning and Time Series Mining Approach. ICONIP (5) (2017)