A new correction method for Dead Reckoning navigation system based on digital map. - Yong-Qiang Han; Jia-Bin Chen; Zhi-De Liu; Chun-Lei Song; Dun-Hui Zhao (ICMLC, 2010)

A Wi-Fi Indoor Localization Strategy Using Particle Swarm Optimization Based Artificial Neural Networks. - Nan Li 003; Jia-Bin Chen; Yan Yuan; Xiaochun Tian; Yongqiang Han; Mingzhe Xia (Int. J. Distributed Sens. Networks, 2016)

A Novel Zero Velocity Interval Detection Algorithm for Self-Contained Pedestrian Navigation System with Inertial Sensors. - Xiaochun Tian; Jia-Bin Chen; Yongqiang Han; Jianyu Shang; Nan Li 003 (Sensors, 2016)

Speeding up Gaussian Belief Space Planning for Underwater Robots Through a Covariance Upper Bound. - Huan Yu; Wenjie Lu; Dikai Liu; Yongqiang Han; Qinghe Wu (IEEE Access, 2019)

Heterogeneous Dimensionality Reduction for Efficient Motion Planning in High-Dimensional Spaces. - Huan Yu; Wenjie Lu; Yongqiang Han; Dikai Liu; Miao Zhang (IEEE Access, 2020)

Frogman Self-Navigation Method Based on Virtual Transponder Array and Dead Reckoning. - Yanshun Zhang; Nan Wang; Ming Li; Shudi Weng; Yongqiang Han (IEEE Access, 2020)

A Novel Cooperative Localization Method Based on IMU and UWB. - Yongqiang Han; Chenchen Wei; Rong Li; Jingzhe Wang; Huan Yu (Sensors, 2020)

GUESR: A Global Unsupervised Data-Enhancement with Bucket-Cluster Sampling for Sequential Recommendation. - Yongqiang Han; Likang Wu; Hao Wang 076; Guifeng Wang; Mengdi Zhang 002; Zhi Li 057; Defu Lian; Enhong Chen (DASFAA (2), 2023)

LKDA-GAN: Cross-modality image synthesis via Generative Adversarial Network aggregating large kernel decomposable attention bottleneck block. - Haiyan Li; Yongqiang Han; Lei Guo; Mingchuan Tan; Liping Zhou (Comput. Vis. Image Underst., 2023)

A Unified Framework for Adaptive Representation Enhancement and Inversed Learning in Cross-Domain Recommendation. - Luankang Zhang; Hao Wang 076; Suojuan Zhang; Mingjia Yin; Yongqiang Han; Jiaqing Zhang; Defu Lian; Enhong Chen (DASFAA (3), 2024)

Efficient Noise-Decoupling for Multi-Behavior Sequential Recommendation. - Yongqiang Han; Hao Wang 076; Kefan Wang; Likang Wu; Zhi Li 057; Wei Guo 006; Yong Liu 020; Defu Lian; Enhong Chen (WWW, 2024)

END4Rec: Efficient Noise-Decoupling for Multi-Behavior Sequential Recommendation. - Yongqiang Han; Hao Wang 076; Kefan Wang; Likang Wu; Zhi Li 057; Wei Guo 006; Yong Liu 020; Defu Lian; Enhong Chen (CoRR, 2024)

Denoising Pre-Training and Customized Prompt Learning for Efficient Multi-Behavior Sequential Recommendation. - Hao Wang 076; Yongqiang Han; Kefan Wang; Kai Cheng; Zhen Wang; Wei Guo 006; Yong Liu 020; Defu Lian; Enhong Chen (CoRR, 2024)

Supporting Your Idea Reasonably: A Knowledge-Aware Topic Reasoning Strategy for Citation Recommendation. - Likang Wu; Zhi Li 057; Hongke Zhao; Zhenya Huang; Yongqiang Han; Junji Jiang; Enhong Chen (IEEE Trans. Knowl. Data Eng., 2024)

Hybrid generative adversarial network based on a mixed attention fusion module for multi-modal MR image synthesis algorithm. - Haiyan Li; Yongqiang Han; Jun Chang; Liping Zhou (Int. J. Mach. Learn. Cybern., 2024)

A novel mid- and long-term time-series forecasting framework for electricity price based on hierarchical recurrent neural networks. - Weiwu Yan; Peng Wang; Renchao Xu; Rui Han; Enze Chen; Yongqiang Han; Xi Zhang (J. Frankl. Inst., 2025)