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ORCIDYongqiang Han
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2020 – today
- 2024
[j8]Haiyan Li
, Yongqiang Han, Jun Chang, Liping Zhou:
Hybrid generative adversarial network based on a mixed attention fusion module for multi-modal MR image synthesis algorithm. Int. J. Mach. Learn. Cybern. 15(6): 2111-2130 (2024)- [c3]Yongqiang Han, Hao Wang, Kefan Wang, Likang Wu, Zhi Li, Wei Guo, Yong Liu, Defu Lian, Enhong Chen:
Efficient Noise-Decoupling for Multi-Behavior Sequential Recommendation. WWW 2024: 3297-3306 - [i4]Yongqiang Han, Hao Wang, Kefan Wang, Likang Wu, Zhi Li, Wei Guo, Yong Liu, Defu Lian, Enhong Chen:
END4Rec: Efficient Noise-Decoupling for Multi-Behavior Sequential Recommendation. CoRR abs/2403.17603 (2024) - [i3]Luankang Zhang, Hao Wang, Suojuan Zhang, Mingjia Yin, Yongqiang Han, Jiaqing Zhang, Defu Lian, Enhong Chen:
A Unified Framework for Adaptive Representation Enhancement and Inversed Learning in Cross-Domain Recommendation. CoRR abs/2404.00268 (2024) - [i2]Hao Wang, Yongqiang Han, Kefan Wang, Kai Cheng, Zhen Wang, Wei Guo, Yong Liu, Defu Lian, Enhong Chen:
Denoising Pre-Training and Customized Prompt Learning for Efficient Multi-Behavior Sequential Recommendation. CoRR abs/2408.11372 (2024) - 2023
- [j7]Haiyan Li, Yongqiang Han, Lei Guo, Mingchuan Tan, Liping Zhou:
LKDA-GAN: Cross-modality image synthesis via Generative Adversarial Network aggregating large kernel decomposable attention bottleneck block. Comput. Vis. Image Underst. 237: 103856 (2023) - [c2]Yongqiang Han, Likang Wu, Hao Wang, Guifeng Wang, Mengdi Zhang, Zhi Li, Defu Lian, Enhong Chen:
GUESR: A Global Unsupervised Data-Enhancement with Bucket-Cluster Sampling for Sequential Recommendation. DASFAA (2) 2023: 286-296 - [i1]Yongqiang Han, Likang Wu, Hao Wang, Guifeng Wang, Mengdi Zhang, Zhi Li, Defu Lian, Enhong Chen:
GUESR: A Global Unsupervised Data-Enhancement with Bucket-Cluster Sampling for Sequential Recommendation. CoRR abs/2303.00243 (2023) - 2020
- [j6]Huan Yu, Wenjie Lu, Yongqiang Han, Dikai Liu, Miao Zhang:
Heterogeneous Dimensionality Reduction for Efficient Motion Planning in High-Dimensional Spaces. IEEE Access 8: 42619-42632 (2020) - [j5]Yanshun Zhang, Nan Wang, Ming Li, Shudi Weng, Yongqiang Han:
Frogman Self-Navigation Method Based on Virtual Transponder Array and Dead Reckoning. IEEE Access 8: 177329-177340 (2020) - [j4]Yongqiang Han, Chenchen Wei, Rong Li, Jingzhe Wang, Huan Yu:
A Novel Cooperative Localization Method Based on IMU and UWB. Sensors 20(2): 467 (2020)
2010 – 2019
- 2019
- [j3]Huan Yu, Wenjie Lu, Dikai Liu, Yongqiang Han, Qinghe Wu:
Speeding up Gaussian Belief Space Planning for Underwater Robots Through a Covariance Upper Bound. IEEE Access 7: 121961-121974 (2019) - 2016
- [j2]Nan Li, Jia-Bin Chen, Yan Yuan, Xiaochun Tian, Yongqiang Han, Mingzhe Xia:
A Wi-Fi Indoor Localization Strategy Using Particle Swarm Optimization Based Artificial Neural Networks. Int. J. Distributed Sens. Networks 12: 4583147:1-4583147:9 (2016) - [j1]Xiaochun Tian, Jia-Bin Chen, Yongqiang Han, Jianyu Shang, Nan Li:
A Novel Zero Velocity Interval Detection Algorithm for Self-Contained Pedestrian Navigation System with Inertial Sensors. Sensors 16(10): 1578 (2016) - 2010
- [c1]Yong-Qiang Han, Jia-Bin Chen, Zhi-De Liu, Chun-Lei Song, Dun-Hui Zhao:
A new correction method for Dead Reckoning navigation system based on digital map. ICMLC 2010: 1378-1383
Coauthor Index
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