Yong Feng

65 papers A* 1B 1Misc 3Journal 40Unranked 20
YearRankTypeTitle / Venue / Authors
2026 J jnl
Enhancing surface defect detection in industrial products through few-shot learning via meta-learning.
Eng. Appl. Artif. Intell.
Quanyou Zhang, Yong Feng, Yanying Chen, Biao Wang, Yaohui Li, Baohua Qiang, Zhangli Lan
2026 J jnl
Image Quality Assessment: Exploring the Similarity of Deep Features via Covariance-Constrained Spectra.
IEEE Trans. Broadcast.
Shujun Lang, Mingliang Zhou, Xuekai Wei, Jielu Yan, Yong Feng, Weijia Jia
2026 J jnl
Neighborhood Attention-based Feature Reconstruction for Image Anomaly Detection and Localization.
ACM Trans. Multim. Comput. Commun. Appl.
Weizhi Xian, Yichi Chen, Bin Chen, Leong Hou U, Shiyou Liu, Yong Feng, Mingliang Zhou, Sam Kwong
2026 J jnl
RSHallu: Dual-Mode Hallucination Evaluation for Remote-Sensing Multimodal Large Language Models with Domain-Tailored Mitigation.
CoRR
Zihui Zhou, Yong Feng, Yanying Chen, Guofan Duan, Zhenxi Song, Mingliang Zhou, Weijia Jia
2026 J jnl
Unsupervised deep metric learning based on context and attention weighting.
Multim. Syst.
Shiya Li, Yong Feng, Pu Xiao, Shi-hao Yuan, Guofan Duan, Yanying Chen, Baohua Qiang, Xiancai Xiong, Mingliang Zhou
2025 J jnl
Boundary-Aware Feature Fusion With Dual-Stream Attention for Remote Sensing Small Object Detection.
IEEE Trans. Geosci. Remote. Sens.
Jingnan Song, Mingliang Zhou, Jun Luo, Huayan Pu, Yong Feng, Xuekai Wei, Weijia Jia
2025 J jnl
Continuous reinforcement learning via advantage value difference reward shaping: A proximal policy optimization perspective.
Eng. Appl. Artif. Intell.
Jiawei Lin, Xuekai Wei, Weizhi Xian, Jielu Yan, Leong Hou U, Yong Feng, Zhaowei Shang, Mingliang Zhou
2025 J jnl
DTSFNet: A Lightweight Network Based on Dynamic Sampling and Scale Sequence Fusion for Aerial Image Object Detection.
J. Circuits Syst. Comput.
Yanting Liao, Yong Feng, Yanying Chen, Guofan Duan, Baohua Qiang, Zhangli Lan, Ke Wang, Lai Zou, Huayan Pu, Jun Luo, Mingliang Zhou
2025 A* conf
Image Quality Assessment: Investigating Causal Perceptual Effects with Abductive Counterfactual Inference.
CVPR
Wenhao Shen, Mingliang Zhou, Yu Chen, Xuekai Wei, Yong Feng, Huayan Pu, Weijia Jia
2025 J jnl
Manifold and patch-based unsupervised deep metric learning for fine-grained image retrieval.
Appl. Intell.
Shi-hao Yuan, Yong Feng, Agen Qiu, Guofan Duan, Mingliang Zhou, Baohua Qiang, Yong-heng Wang
2025 J jnl
Sparse Reduced-Rank Fully Connected Layers with Its Applications in Detection and Classification.
ACM Trans. Multim. Comput. Commun. Appl.
Linlin Fan, Mingliang Zhou, Xuekai Wei, Yong Feng, Tao Xiang, Bin Fang, Zhaowei Shang, Fan Jia, Xu Zhuang, Huayan Pu, Jun Luo
2025 J jnl
Variational adversarial negative sampling for multimodal knowledge graph completion.
Eng. Appl. Artif. Intell.
Haohui Miao, Yong Feng, Yanying Chen, Guofan Duan, Baohua Qiang, Mingliang Zhou
2025 J jnl
ViLNM: Visual-Language Noise Modeling for Text-to-Image Person Retrieval.
IEEE Signal Process. Lett.
Guolin Xu, Yong Feng, Yanying Chen, Guofan Duan, Mingliang Zhou
2024 J jnl
A Blind Video Quality Assessment Method via Spatiotemporal Pyramid Attention.
IEEE Trans. Broadcast.
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
2024 J jnl
A Content-Aware Full-Reference Image Quality Assessment Method Using a Gram Matrix and Signal-to-Noise.
IEEE Trans. Broadcast.
Shuqi Han, Yueting Huang, Mingliang Zhou, Xuekai Wei, Fan Jia, Xu Zhuang, Fei Cheng, Tao Xiang, Yong Feng, Huayan Pu, Jun Luo
2024 J jnl
A Full-Reference Image Quality Assessment Method via Deep Meta-Learning and Conformer.
IEEE Trans. Broadcast.
Shujun Lang, Xu Liu, Mingliang Zhou, Jun Luo, Huayan Pu, Xu Zhuang, Jason Wang, Xuekai Wei, Taiping Zhang, Yong Feng, Zhaowei Shang
2024 J jnl
DMA-YOLO: multi-scale object detection method with attention mechanism for aerial images.
Vis. Comput.
Ya-ling Li, Yong Feng, Mingliang Zhou, Xiancai Xiong, Yongheng Wang, Baohua Qiang
2024 J jnl
Deep Multiscale Fine-Grained Hashing for Remote Sensing Cross-Modal Retrieval.
IEEE Geosci. Remote. Sens. Lett.
Jiaxiang Huang, Yong Feng, Mingliang Zhou, Xiancai Xiong, Yongheng Wang, Baohua Qiang
2024 J jnl
Fine-Grained Information Supplementation and Value-Guided Learning for Remote Sensing Image-Text Retrieval.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Zihui Zhou, Yong Feng, Agen Qiu, Guofan Duan, Mingliang Zhou
2024 J jnl
HDIQA: A Hyper Debiasing Framework for Full Reference Image Quality Assessment.
IEEE Trans. Broadcast.
Mingliang Zhou, Heqiang Wang, Xuekai Wei, Yong Feng, Jun Luo, Huayan Pu, Jinglei Zhao, Liming Wang, Zhigang Chu, Xin Wang, Bin Fang, Zhaowei Shang
2024 J jnl
Image Quality Assessment: Enhancing Perceptual Exploration and Interpretation with Collaborative Feature Refinement and Hausdorff distance.
CoRR
Xuekai Wei, Junyu Zhang, Qinlin Hu, Mingliang Zhou, Yong Feng, Weizhi Xian, Huayan Pu, Sam Kwong
2023 J jnl
A Jointly Guided Deep Network for Fine-Grained Cross-Modal Remote Sensing Text-Image Retrieval.
J. Circuits Syst. Comput.
Lei Yang, Yong Feng, Mingliang Zhou, Xiancai Xiong, Yongheng Wang, Baohua Qiang
2023 J jnl
Improve Session-Based Recommendation with Triplet Mining and Dynamic Perturbations Graph Neural Networks.
Int. J. Pattern Recognit. Artif. Intell.
Jiayi Zhu, Yong Feng, Mingliang Zhou, Xiancai Xiong, Yongheng Wang, Yu Xia, Baohua Qiang, Qin Mao, Bin Fang
2023 Misc conf
Joint Robust Representation And Generalization Enhancement For Cross-Modality Person Re-Identification.
ICASSP
Heqing Cheng, Yong Feng, Mingliang Zhou, Xiancai Xiong, Yongheng Wang, Baohua Qiang
2023 J jnl
Multi-level network based on transformer encoder for fine-grained image-text matching.
Multim. Syst.
Lei Yang, Yong Feng, Mingliang Zhou, Xiancai Xiong, Yongheng Wang, Baohua Qiang
2023 J jnl
Multi-modal transformer using two-level visual features for fake news detection.
Appl. Intell.
Bin Wang, Yong Feng, Xiancai Xiong, Yongheng Wang, Baohua Qiang
2023 J jnl
Multilevel Similarity-Aware Deep Metric Learning for Fine-Grained Image Retrieval.
IEEE Trans. Ind. Informatics
Congcong Duan, Yong Feng, Mingliang Zhou, Xiancai Xiong, Yongheng Wang, Baohua Qiang, Weijia Jia
2023 J jnl
TIAR: Text-Image-Audio Retrieval with weighted multimodal re-ranking.
Appl. Intell.
Peide Chi, Yong Feng, Mingliang Zhou, Xiancai Xiong, Yongheng Wang, Baohua Qiang
2022 J jnl
Clustering-Based Semi-Supervised Cross-Modal Retrieval Using Scene Graph.
J. Circuits Syst. Comput.
Yixue Kong, Yong Feng, Mingliang Zhou, Xiancai Xiong, Yongheng Wang, Baohua Qiang
2021 Misc conf
Deep Adversarial Quantization Network for Cross-Modal Retrieval.
ICASSP
Yu Zhou, Yong Feng, Mingliang Zhou, Baohua Qiang, Leong Hou U, Jiajie Zhu
2021 Misc conf
Distribution-Aware Hierarchical Weighting Method for Deep Metric Learning.
ICASSP
Yinong Zhu, Yong Feng, Mingliang Zhou, Baohua Qiang, Leong Hou U, Jiajie Zhu
2021 J jnl
Prototype-Based Discriminative Feature Representation for Class-incremental Cross-modal Retrieval.
Int. J. Pattern Recognit. Artif. Intell.
Shaoquan Zhu, Yong Feng, Mingliang Zhou, Baohua Qiang, Bin Fang, Ran Wei
2021 J jnl
Receptive Field Fusion RetinaNet for Object Detection.
J. Circuits Syst. Comput.
He Huang, Yong Feng, Mingliang Zhou, Baohua Qiang, Jielu Yan, Ran Wei
2021 J jnl
Semantic ranking structure preserving for cross-modal retrieval.
Appl. Intell.
Hui Liu, Yong Feng, Mingliang Zhou, Baohua Qiang
2020 — conf
A Deep Sequence-to-Sequence Method for Aircraft Landing Speed Prediction Based on QAR Data.
WISE (2)
Zongwei Kang, Jiaxing Shang, Yong Feng, Linjiang Zheng, Dajiang Liu, Baohua Qiang, Ran Wei
2020 J jnl
Adversarial Metric Learning with Naive Similarity Discriminator.
IEICE Trans. Inf. Syst.
Yi-Ze Le, Yong Feng, Dajiang Liu, Baohua Qiang
2020 J jnl
Attention-Aware Joint Location Constraint Hashing for Multi-Label Image Retrieval.
IEEE Access
Yingqi Zhang, Yong Feng, Jiaxing Shang, Mingliang Zhou, Baohua Qiang
2020 J jnl
DSRPH: Deep semantic-aware ranking preserving hashing for efficient multi-label image retrieval.
Inf. Sci.
Yiming Shen, Yong Feng, Bin Fang, Mingliang Zhou, Sam Kwong, Baohua Qiang
2020 J jnl
FRWCAE: joint faster-RCNN and Wasserstein convolutional auto-encoder for instance retrieval.
Appl. Intell.
Yiyang Zhang, Yong Feng, Dajiang Liu, Jiaxing Shang, Baohua Qiang
2020 — conf
ITDT: An Iterative Decision Tree-based Approach for Telecom Customer Classification.
ISPA/BDCloud/SocialCom/SustainCom
Jiaxing Shang, Ziwei Jin, Yong Feng, Ran Wei, Baohua Qiang, Wu Xie
2020 — conf
Relationship-Aware Hard Negative Generation in Deep Metric Learning.
KSEM (2)
Jiaqi Huang, Yong Feng, Mingliang Zhou, Baohua Qiang
2019 J jnl
Data-Flow Graph Mapping Optimization for CGRA With Deep Reinforcement Learning.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Dajiang Liu, Shouyi Yin, Guojie Luo, Jiaxing Shang, Leibo Liu, Shaojun Wei, Yong Feng, Shangbo Zhou
2019 J jnl
TDCTFIC: A Novel Recommendation Framework Fusing Temporal Dynamics, CNN-Based Text Features and Item Correlation.
IEICE Trans. Inf. Syst.
Meng Ting Xiong, Yong Feng, Ting Wu, Jiaxing Shang, Baohua Qiang, Yanan Wang
2018 J jnl
A Novel Recommendation Algorithm Incorporating Temporal Dynamics, Reviews and Item Correlation.
IEICE Trans. Inf. Syst.
Ting Wu, Yong Feng, Jiaxing Sang, Baohua Qiang, Yanan Wang
2018 J jnl
Density core-based clustering algorithm with dynamic scanning radius.
Knowl. Based Syst.
Jiang Xie, Zhong-Yang Xiong, Yu-Fang Zhang, Yong Feng, Jie Ma
2018 J jnl
LAIM: A Linear Time Iterative Approach for Efficient Influence Maximization in Large-Scale Networks.
IEEE Access
Hongchun Wu, Jiaxing Shang, Shangbo Zhou, Yong Feng, Baohua Qiang, Wu Xie
2018 — conf
SCE-MSPFS: A Novel Deep Convolutional Feature Selection Method for Image Retrieval.
ICONIP (6)
Dong-dong Niu, Yong Feng, Jiaxing Shang, Baohua Qiang
2018 B conf
Wasserstein Generative Recurrent Adversarial Networks for Image Generating.
ICPR
Chunping Zhang, Yong Feng, Baohua Qiang, Jiaxing Shang
2017 — conf
A Linear Time Algorithm for Influence Maximization in Large-Scale Social Networks.
ICONIP (5)
Hongchun Wu, Jiaxing Shang, Shangbo Zhou, Yong Feng
2017 — conf
App Uninstalls Prediction: A Machine Learning and Time Series Mining Approach.
ICONIP (5)
Jiaxing Shang, Jinghao Wang, Ge Liu, Hongchun Wu, Shangbo Zhou, Yong Feng
2016 — conf
Improving Temporal Recommendation Accuracy and Diversity via Long and Short-Term Preference Transfer and Fusion Models.
APWeb (2)
Bei Zhang, Yong Feng
2010 J jnl
An enhanced swarm intelligence clustering-based RBFNN classifier and its application in deep Web sources classification.
Frontiers Comput. Sci. China
Yong Feng, Zhongfu Wu, Jiang Zhong, Chunxiao Ye, Kaigui Wu
2010 — conf
Deep Web Sources Classifier Based on DSOM-EACO Clustering Model.
ADMA (1)
Yong Feng, Xianyong Chen, Zhen Chen
2009 — conf
An Enhanced Swarm Intelligence Clustering-Based RBF Neural Network Web Text Classifier.
ISNN (2)
Yong Feng, Zhongfu Wu, Jiang Zhong, Chunxiao Ye, Kaigui Wu
2008 — conf
A Novel Authentication Mechanism Based on CGA for BU Message Disposal in Mobile IPv6.
NAS
Yong Feng, Zhongfu Wu, Jiang Zhong, Chunxiao Ye, Kaigui Wu
2008 — conf
An Enhanced Swarm Intelligence Clustering-Based RBF Neural Network Detection Classifier.
ICIC (2)
Yong Feng, Zhongfu Wu, Jiang Zhong, Chunxiao Ye, Kaigui Wu
2008 — conf
Intrusion Detection Based on Density Level Sets Estimation.
NAS
Jiang Zhong, Luosheng Wen, Yong Feng, Chunxiao Ye
2008 — conf
Revocation in an Attribute-Based Delegation Model.
NAS
Chunxiao Ye, Zhongfu Wu, Jiang Zhong, Yong Feng
2007 — conf
An Adaptive Classifier Based on Artificial Immune Network.
LSMS (2)
Zhiguo Li, Jiang Zhong, Yong Feng, Zhongfu Wu
2007 — conf
Artificial Immune Networks Based Radial Basic Function Neural Networks Construction Algorithm and Application.
ICNC (1)
Jiang Zhong, Yong Feng, Chunxiao Ye, Ling Ou, Zhiguo Li
2007 — conf
Network Anomaly Detection Based on DSOM and ACO Clustering.
ISNN (2)
Yong Feng, Jiang Zhong, Zhongyang Xiong, Chunxiao Ye, Kaigui Wu
2006 — conf
Clustering based on Self-Organizing Ant Colony Networks with Application to Intrusion Detection.
ISDA (2)
Yong Feng, Jiang Zhong, Chunxiao Ye, Zhongfu Wu
2006 — conf
Intrusion Detection Based on Adaptive RBF Neural Network.
ISDA (2)
Jiang Zhong, Zhiguo Li, Yong Feng, Chunxiao Ye
2006 — conf
Neuron Selection for RBF Neural Network Classifier Based on Multiple Granularities Immune Network.
ISNN (1)
Jiang Zhong, Chunxiao Ye, Yong Feng, Ying Zhou, Zhongfu Wu
2005 — conf
Intrusion Detection Based on Dynamic Self-organizing Map Neural Network Clustering.
ISNN (3)
Yong Feng, Kaigui Wu, Zhongfu Wu, Zhongyang Xiong