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Yong Feng 0002
Person information
- affiliation: Chongqing University, College of Computer Science, China
Other persons with the same name
- Yong Feng — disambiguation page
- Yong Feng 0001 — Harbin Institute of Technology, Department of Electrical Engineering, China (and 1 more)
- Yong Feng 0003 — Fudan University, Department of Aeronautics and Astronautics, Shanghai, China
- Yong Feng 0004 — Kunming University of Science and Technology, Yunnan Key Laboratory of Computer Technology Applications, China
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2020 – today
- 2024
- [j26]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: 1-5 (2024) - [j25]Zihui Zhou, Yong Feng, Agen Qiu, Guofan Duan, Mingliang Zhou:
Fine-Grained Information Supplementation and Value-Guided Learning for Remote Sensing Image-Text Retrieval. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 19194-19210 (2024) - [j24]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): 251-264 (2024) - [j23]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): 316-324 (2024) - [j22]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): 545-554 (2024) - [j21]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): 4505-4518 (2024) - 2023
- [j20]Bin Wang, Yong Feng, Xiancai Xiong, Yongheng Wang, Baohua Qiang:
Multi-modal transformer using two-level visual features for fake news detection. Appl. Intell. 53(9): 10429-10443 (2023) - [j19]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): 22898-22916 (2023) - [j18]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): 2350012:1-2350012:17 (2023) - [j17]Lei Yang, Yong Feng, Mingliang 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): 2350221:1-2350221:21 (2023) - [j16]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): 1981-1994 (2023) - [j15]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): 9173-9182 (2023) - [c24]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: 1-5 - 2022
- [j14]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): 2250213:1-2250213:13 (2022) - 2021
- [j13]Hui Liu, Yong Feng, Mingliang Zhou, Baohua Qiang:
Semantic ranking structure preserving for cross-modal retrieval. Appl. Intell. 51(3): 1802-1812 (2021) - [j12]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): 2150018:1-2150018:19 (2021) - [j11]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): 2150184:1-2150184:16 (2021) - [c23]Yinong Zhu, Yong Feng, Mingliang Zhou, Baohua Qiang, Leong Hou U, Jiajie Zhu:
Distribution-Aware Hierarchical Weighting Method for Deep Metric Learning. ICASSP 2021: 1770-1774 - [c22]Yu Zhou, Yong Feng, Mingliang Zhou, Baohua Qiang, Leong Hou U, Jiajie Zhu:
Deep Adversarial Quantization Network for Cross-Modal Retrieval. ICASSP 2021: 4325-4329 - 2020
- [j10]Yingqi Zhang, Yong Feng, Jiaxing Shang, Mingliang Zhou, Baohua Qiang:
Attention-Aware Joint Location Constraint Hashing for Multi-Label Image Retrieval. IEEE Access 8: 3294-3307 (2020) - [j9]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): 2208-2221 (2020) - [j8]Yi-Ze Le, Yong Feng, Dajiang Liu, Baohua Qiang:
Adversarial Metric Learning with Naive Similarity Discriminator. IEICE Trans. Inf. Syst. 103-D(6): 1406-1413 (2020) - [j7]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: 145-156 (2020) - [c21]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: 1501-1506 - [c20]Jiaqi Huang, Yong Feng, Mingliang Zhou, Baohua Qiang:
Relationship-Aware Hard Negative Generation in Deep Metric Learning. KSEM (2) 2020: 388-400 - [c19]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: 516-530
2010 – 2019
- 2019
- [j6]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. 102-D(8): 1517-1525 (2019) - [j5]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): 2271-2283 (2019) - 2018
- [j4]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: 44221-44234 (2018) - [j3]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. 101-D(8): 2027-2034 (2018) - [j2]Jiang Xie, Zhong-Yang Xiong, Yu-Fang Zhang, Yong Feng, Jie Ma:
Density core-based clustering algorithm with dynamic scanning radius. Knowl. Based Syst. 142: 58-70 (2018) - [c18]Dong-dong Niu, Yong Feng, Jiaxing Shang, Baohua Qiang:
SCE-MSPFS: A Novel Deep Convolutional Feature Selection Method for Image Retrieval. ICONIP (6) 2018: 269-281 - [c17]Chunping Zhang, Yong Feng, Baohua Qiang, Jiaxing Shang:
Wasserstein Generative Recurrent Adversarial Networks for Image Generating. ICPR 2018: 242-247 - 2017
- [c16]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: 514-522 - [c15]Hongchun Wu, Jiaxing Shang, Shangbo Zhou, Yong Feng:
A Linear Time Algorithm for Influence Maximization in Large-Scale Social Networks. ICONIP (5) 2017: 752-761 - 2016
- [c14]Bei Zhang, Yong Feng:
Improving Temporal Recommendation Accuracy and Diversity via Long and Short-Term Preference Transfer and Fusion Models. APWeb (2) 2016: 174-185 - 2010
- [j1]Yong Feng, Zhongfu Wu, Jiang Zhong, Chunxiao Ye, Kaigui Wu:
An enhanced swarm intelligence clustering-based RBFNN classifier and its application in deep Web sources classification. Frontiers Comput. Sci. China 4(4): 560-570 (2010) - [c13]Yong Feng, Xianyong Chen, Zhen Chen:
Deep Web Sources Classifier Based on DSOM-EACO Clustering Model. ADMA (1) 2010: 238-245
2000 – 2009
- 2009
- [c12]Yong Feng, Zhongfu Wu, Jiang Zhong, Chunxiao Ye, Kaigui Wu:
An Enhanced Swarm Intelligence Clustering-Based RBF Neural Network Web Text Classifier. ISNN (2) 2009: 684-693 - 2008
- [c11]Yong Feng, Zhongfu Wu, Jiang Zhong, Chunxiao Ye, Kaigui Wu:
An Enhanced Swarm Intelligence Clustering-Based RBF Neural Network Detection Classifier. ICIC (2) 2008: 526-533 - [c10]Yong Feng, Zhongfu Wu, Jiang Zhong, Chunxiao Ye, Kaigui Wu:
A Novel Authentication Mechanism Based on CGA for BU Message Disposal in Mobile IPv6. NAS 2008: 137-143 - [c9]Chunxiao Ye, Zhongfu Wu, Jiang Zhong, Yong Feng:
Revocation in an Attribute-Based Delegation Model. NAS 2008: 171-172 - [c8]Jiang Zhong, Luosheng Wen, Yong Feng, Chunxiao Ye:
Intrusion Detection Based on Density Level Sets Estimation. NAS 2008: 173-174 - 2007
- [c7]Jiang Zhong, Yong Feng, Chunxiao Ye, Ling Ou, Zhiguo Li:
Artificial Immune Networks Based Radial Basic Function Neural Networks Construction Algorithm and Application. ICNC (1) 2007: 104-107 - [c6]Yong Feng, Jiang Zhong, Zhongyang Xiong, Chunxiao Ye, Kaigui Wu:
Network Anomaly Detection Based on DSOM and ACO Clustering. ISNN (2) 2007: 947-955 - [c5]Zhiguo Li, Jiang Zhong, Yong Feng, Zhongfu Wu:
An Adaptive Classifier Based on Artificial Immune Network. LSMS (2) 2007: 422-428 - 2006
- [c4]Yong Feng, Jiang Zhong, Chunxiao Ye, Zhongfu Wu:
Clustering based on Self-Organizing Ant Colony Networks with Application to Intrusion Detection. ISDA (2) 2006: 1077-1080 - [c3]Jiang Zhong, Zhiguo Li, Yong Feng, Chunxiao Ye:
Intrusion Detection Based on Adaptive RBF Neural Network. ISDA (2) 2006: 1081-1084 - [c2]Jiang Zhong, Chunxiao Ye, Yong Feng, Ying Zhou, Zhongfu Wu:
Neuron Selection for RBF Neural Network Classifier Based on Multiple Granularities Immune Network. ISNN (1) 2006: 866-872 - 2005
- [c1]Yong Feng, Kaigui Wu, Zhongfu Wu, Zhongyang Xiong:
Intrusion Detection Based on Dynamic Self-organizing Map Neural Network Clustering. ISNN (3) 2005: 428-433
Coauthor Index
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last updated on 2024-11-15 20:35 CET by the dblp team
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