Intrusion Detection Based on Dynamic Self-organizing Map Neural Network Clustering. - Yong Feng 002; Kaigui Wu; Zhongfu Wu; Zhongyang Xiong (ISNN (3), 2005)

Clustering based on Self-Organizing Ant Colony Networks with Application to Intrusion Detection. - Yong Feng 002; Jiang Zhong; Chunxiao Ye; Zhongfu Wu (ISDA (2), 2006)

Intrusion Detection Based on Adaptive RBF Neural Network. - Jiang Zhong; Zhiguo Li; Yong Feng 002; Chunxiao Ye (ISDA (2), 2006)

Neuron Selection for RBF Neural Network Classifier Based on Multiple Granularities Immune Network. - Jiang Zhong; Chunxiao Ye; Yong Feng 002; Ying Zhou; Zhongfu Wu (ISNN (1), 2006)

Artificial Immune Networks Based Radial Basic Function Neural Networks Construction Algorithm and Application. - Jiang Zhong; Yong Feng 002; Chunxiao Ye; Ling Ou; Zhiguo Li (ICNC (1), 2007)

Network Anomaly Detection Based on DSOM and ACO Clustering. - Yong Feng 002; Jiang Zhong; Zhongyang Xiong; Chunxiao Ye; Kaigui Wu (ISNN (2), 2007)

An Adaptive Classifier Based on Artificial Immune Network. - Zhiguo Li; Jiang Zhong; Yong Feng 002; Zhongfu Wu (LSMS (2), 2007)

An Enhanced Swarm Intelligence Clustering-Based RBF Neural Network Detection Classifier. - Yong Feng 002; Zhongfu Wu; Jiang Zhong; Chunxiao Ye; Kaigui Wu (ICIC (2), 2008)

A Novel Authentication Mechanism Based on CGA for BU Message Disposal in Mobile IPv6. - Yong Feng 002; Zhongfu Wu; Jiang Zhong; Chunxiao Ye; Kaigui Wu (NAS, 2008)

Revocation in an Attribute-Based Delegation Model. - Chunxiao Ye; Zhongfu Wu; Jiang Zhong; Yong Feng 002 (NAS, 2008)

Intrusion Detection Based on Density Level Sets Estimation. - Jiang Zhong; Luosheng Wen; Yong Feng 002; Chunxiao Ye (NAS, 2008)

An Enhanced Swarm Intelligence Clustering-Based RBF Neural Network Web Text Classifier. - Yong Feng 002; Zhongfu Wu; Jiang Zhong; Chunxiao Ye; Kaigui Wu (ISNN (2), 2009)

Deep Web Sources Classifier Based on DSOM-EACO Clustering Model. - Yong Feng 002; Xianyong Chen; Zhen Chen (ADMA (1), 2010)

An enhanced swarm intelligence clustering-based RBFNN classifier and its application in deep Web sources classification. - Yong Feng 002; Zhongfu Wu; Jiang Zhong; Chunxiao Ye; Kaigui Wu (Frontiers Comput. Sci. China, 2010)

Improving Temporal Recommendation Accuracy and Diversity via Long and Short-Term Preference Transfer and Fusion Models. - Bei Zhang; Yong Feng 002 (APWeb (2), 2016)

App Uninstalls Prediction: A Machine Learning and Time Series Mining Approach. - Jiaxing Shang; Jinghao Wang; Ge Liu; Hongchun Wu; Shangbo Zhou; Yong Feng 002 (ICONIP (5), 2017)

A Linear Time Algorithm for Influence Maximization in Large-Scale Social Networks. - Hongchun Wu; Jiaxing Shang; Shangbo Zhou; Yong Feng 002 (ICONIP (5), 2017)

SCE-MSPFS: A Novel Deep Convolutional Feature Selection Method for Image Retrieval. - Dong-dong Niu; Yong Feng 002; Jiaxing Shang; Baohua Qiang (ICONIP (6), 2018)

Wasserstein Generative Recurrent Adversarial Networks for Image Generating. - Chunping Zhang; Yong Feng 002; Baohua Qiang; Jiaxing Shang (ICPR, 2018)

LAIM: A Linear Time Iterative Approach for Efficient Influence Maximization in Large-Scale Networks. - Hongchun Wu; Jiaxing Shang; Shangbo Zhou; Yong Feng 002; Baohua Qiang; Wu Xie (IEEE Access, 2018)

A Novel Recommendation Algorithm Incorporating Temporal Dynamics, Reviews and Item Correlation. - Ting Wu 012; Yong Feng 002; Jiaxing Sang; Baohua Qiang; Yanan Wang (IEICE Trans. Inf. Syst., 2018)

Density core-based clustering algorithm with dynamic scanning radius. - Jiang Xie 002; Zhong-Yang Xiong; Yu-Fang Zhang; Yong Feng 002; Jie Ma 001 (Knowl. Based Syst., 2018)

TDCTFIC: A Novel Recommendation Framework Fusing Temporal Dynamics, CNN-Based Text Features and Item Correlation. - Meng Ting Xiong; Yong Feng 002; Ting Wu 012; Jiaxing Shang; Baohua Qiang; Yanan Wang (IEICE Trans. Inf. Syst., 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 002; Shangbo Zhou (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2019)

ITDT: An Iterative Decision Tree-based Approach for Telecom Customer Classification. - Jiaxing Shang; Ziwei Jin; Yong Feng 002; Ran Wei; Baohua Qiang; Wu Xie (ISPA/BDCloud/SocialCom/SustainCom, 2020)

Relationship-Aware Hard Negative Generation in Deep Metric Learning. - Jiaqi Huang; Yong Feng 002; Mingliang Zhou 001; Baohua Qiang (KSEM (2), 2020)

A Deep Sequence-to-Sequence Method for Aircraft Landing Speed Prediction Based on QAR Data. - Zongwei Kang; Jiaxing Shang; Yong Feng 002; Linjiang Zheng; Dajiang Liu; Baohua Qiang; Ran Wei (WISE (2), 2020)

Attention-Aware Joint Location Constraint Hashing for Multi-Label Image Retrieval. - Yingqi Zhang; Yong Feng 002; Jiaxing Shang; Mingliang Zhou 001; Baohua Qiang (IEEE Access, 2020)

FRWCAE: joint faster-RCNN and Wasserstein convolutional auto-encoder for instance retrieval. - Yiyang Zhang; Yong Feng 002; Dajiang Liu; Jiaxing Shang; Baohua Qiang (Appl. Intell., 2020)

Adversarial Metric Learning with Naive Similarity Discriminator. - Yi-Ze Le; Yong Feng 002; Dajiang Liu; Baohua Qiang (IEICE Trans. Inf. Syst., 2020)

DSRPH: Deep semantic-aware ranking preserving hashing for efficient multi-label image retrieval. - Yiming Shen; Yong Feng 002; Bin Fang 001; Mingliang Zhou 001; Sam Kwong; Baohua Qiang (Inf. Sci., 2020)

Deep Adversarial Quantization Network for Cross-Modal Retrieval. - Yu Zhou; Yong Feng 002; Mingliang Zhou 001; Baohua Qiang; Leong Hou U; Jiajie Zhu 001 (ICASSP, 2021)

Distribution-Aware Hierarchical Weighting Method for Deep Metric Learning. - Yinong Zhu; Yong Feng 002; Mingliang Zhou 001; Baohua Qiang; Leong Hou U; Jiajie Zhu 001 (ICASSP, 2021)

Semantic ranking structure preserving for cross-modal retrieval. - Hui Liu; Yong Feng 002; Mingliang Zhou 001; Baohua Qiang (Appl. Intell., 2021)

Prototype-Based Discriminative Feature Representation for Class-incremental Cross-modal Retrieval. - Shaoquan Zhu; Yong Feng 002; Mingliang Zhou 001; Baohua Qiang; Bin Fang 001; Ran Wei (Int. J. Pattern Recognit. Artif. Intell., 2021)

Receptive Field Fusion RetinaNet for Object Detection. - He Huang; Yong Feng 002; Mingliang Zhou 001; Baohua Qiang; Jielu Yan; Ran Wei (J. Circuits Syst. Comput., 2021)

Clustering-Based Semi-Supervised Cross-Modal Retrieval Using Scene Graph. - Yixue Kong; Yong Feng 002; Mingliang Zhou 001; Xiancai Xiong; Yongheng Wang; Baohua Qiang (J. Circuits Syst. Comput., 2022)

Joint Robust Representation And Generalization Enhancement For Cross-Modality Person Re-Identification. - Heqing Cheng; Yong Feng 002; Mingliang Zhou 001; Xiancai Xiong; Yongheng Wang; Baohua Qiang (ICASSP, 2023)

Multi-modal transformer using two-level visual features for fake news detection. - Bin Wang; Yong Feng 002; Xiancai Xiong; Yongheng Wang; Baohua Qiang (Appl. Intell., 2023)

Improve Session-Based Recommendation with Triplet Mining and Dynamic Perturbations Graph Neural Networks. - Jiayi Zhu; Yong Feng 002; Mingliang Zhou 001; Xiancai Xiong; Yongheng Wang; Yu Xia; Baohua Qiang; Qin Mao; Bin Fang 001 (Int. J. Pattern Recognit. Artif. Intell., 2023)

Multi-level network based on transformer encoder for fine-grained image-text matching. - Lei Yang; Yong Feng 002; Mingliang Zhou 001; Xiancai Xiong; Yongheng Wang; Baohua Qiang (Multim. Syst., 2023)

Multilevel Similarity-Aware Deep Metric Learning for Fine-Grained Image Retrieval. - Congcong Duan; Yong Feng 002; Mingliang Zhou 001; Xiancai Xiong; Yongheng Wang; Baohua Qiang; Weijia Jia 001 (IEEE Trans. Ind. Informatics, 2023)

A Jointly Guided Deep Network for Fine-Grained Cross-Modal Remote Sensing Text-Image Retrieval. - Lei Yang; Yong Feng 002; Mingliang Zhou 001; Xiancai Xiong; Yongheng Wang; Baohua Qiang (J. Circuits Syst. Comput., 2023)

TIAR: Text-Image-Audio Retrieval with weighted multimodal re-ranking. - Peide Chi; Yong Feng 002; Mingliang Zhou 001; Xiancai Xiong; Yongheng Wang; Baohua Qiang (Appl. Intell., 2023)

Image Quality Assessment: Enhancing Perceptual Exploration and Interpretation with Collaborative Feature Refinement and Hausdorff distance. - Xuekai Wei; Junyu Zhang; Qinlin Hu; Mingliang Zhou 001; Yong Feng 002; Weizhi Xian; Huayan Pu; Sam Kwong (CoRR, 2024)

Deep Multiscale Fine-Grained Hashing for Remote Sensing Cross-Modal Retrieval. - Jiaxiang Huang; Yong Feng 002; Mingliang Zhou 001; Xiancai Xiong; Yongheng Wang; Baohua Qiang (IEEE Geosci. Remote. Sens. Lett., 2024)

Fine-Grained Information Supplementation and Value-Guided Learning for Remote Sensing Image-Text Retrieval. - Zihui Zhou; Yong Feng 002; Agen Qiu; Guofan Duan; Mingliang Zhou 001 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

A Full-Reference Image Quality Assessment Method via Deep Meta-Learning and Conformer. - Shujun Lang; Xu Liu 023; Mingliang Zhou 001; Jun Luo 003; Huayan Pu; Xu Zhuang; Jason Wang; Xuekai Wei; Taiping Zhang; Yong Feng 002; Zhaowei Shang (IEEE Trans. Broadcast., 2024)

A Blind Video Quality Assessment Method via Spatiotemporal Pyramid Attention. - Wenhao Shen; Mingliang Zhou 001; Xuekai Wei; Heqiang Wang; Bin Fang 001; Cheng Ji 002; Xu Zhuang; Jason Wang; Jun Luo 003; Huayan Pu; Xiaoxu Huang; Shilong Wang 001; et al. (IEEE Trans. Broadcast., 2024)

HDIQA: A Hyper Debiasing Framework for Full Reference Image Quality Assessment. - Mingliang Zhou 001; Heqiang Wang; Xuekai Wei; Yong Feng 002; Jun Luo 003; Huayan Pu; Jinglei Zhao; Liming Wang; Zhigang Chu; Xin Wang 051; Bin Fang 001; Zhaowei Shang (IEEE Trans. Broadcast., 2024)

DMA-YOLO: multi-scale object detection method with attention mechanism for aerial images. - Ya-ling Li; Yong Feng 002; Mingliang Zhou 001; Xiancai Xiong; Yongheng Wang; Baohua Qiang (Vis. Comput., 2024)

A Content-Aware Full-Reference Image Quality Assessment Method Using a Gram Matrix and Signal-to-Noise. - Shuqi Han; Yueting Huang; Mingliang Zhou 001; Xuekai Wei; Fan Jia; Xu Zhuang; Fei Cheng 001; Tao Xiang 001; Yong Feng 002; Huayan Pu; Jun Luo 003 (IEEE Trans. Broadcast., 2024)

Image Quality Assessment: Investigating Causal Perceptual Effects with Abductive Counterfactual Inference. - Wenhao Shen; Mingliang Zhou 001; Yu Chen; Xuekai Wei; Yong Feng 002; Huayan Pu; Weijia Jia 001 (CVPR, 2025)

Continuous reinforcement learning via advantage value difference reward shaping: A proximal policy optimization perspective. - Jiawei Lin; Xuekai Wei; Weizhi Xian; Jielu Yan; Leong Hou U; Yong Feng 002; Zhaowei Shang; Mingliang Zhou 001 (Eng. Appl. Artif. Intell., 2025)

DTSFNet: A Lightweight Network Based on Dynamic Sampling and Scale Sequence Fusion for Aerial Image Object Detection. - Yanting Liao; Yong Feng 002; Yanying Chen; Guofan Duan; Baohua Qiang; Zhangli Lan; Ke Wang; Lai Zou; Huayan Pu; Jun Luo 006; Mingliang Zhou 001 (J. Circuits Syst. Comput., 2025)

ViLNM: Visual-Language Noise Modeling for Text-to-Image Person Retrieval. - Guolin Xu; Yong Feng 002; Yanying Chen; Guofan Duan; Mingliang Zhou 001 (IEEE Signal Process. Lett., 2025)

Boundary-Aware Feature Fusion With Dual-Stream Attention for Remote Sensing Small Object Detection. - Jingnan Song; Mingliang Zhou 001; Jun Luo 006; Huayan Pu; Yong Feng 002; Xuekai Wei; Weijia Jia 001 (IEEE Trans. Geosci. Remote. Sens., 2025)

Manifold and patch-based unsupervised deep metric learning for fine-grained image retrieval. - Shi-hao Yuan; Yong Feng 002; Agen Qiu; Guofan Duan; Mingliang Zhou 001; Baohua Qiang; Yong-heng Wang (Appl. Intell., 2025)

Sparse Reduced-Rank Fully Connected Layers with Its Applications in Detection and Classification. - Linlin Fan; Mingliang Zhou 001; Xuekai Wei; Yong Feng 002; Tao Xiang 001; Bin Fang 001; Zhaowei Shang; Fan Jia; Xu Zhuang; Huayan Pu; Jun Luo 003 (ACM Trans. Multim. Comput. Commun. Appl., 2025)