Efficient Classification of Malicious URLs: M-BERT - A Modified BERT Variant for Enhanced Semantic Understanding - Boyang Yu; Fei Tang; Daji Ergu; Rui Zeng; Bo Ma; Fangyao Liu (IEEE Access, 2024)

YOLO-MPAM: Efficient real-time neural networks based on multi-channel feature fusion - Boyang Yu; Zixuan Li; Yue Cao; Celimuge Wu; Jin Qi; Libing Wu (Expert Syst. Appl., 2024)

A Positivity-Preserving and Robust Fast Solver for Time-Fractional Convection-Diffusion Problems - Boyang Yu; Yonghai Li; Jiangguo Liu (J. Sci. Comput., 2024)

Stochastic gradient descent with random label noises: doubly stochastic models and inference stabilizer - Haoyi Xiong; Xuhong Li; Boyang Yu; Dongrui Wu; Zhanxing Zhu; Dejing Dou (Mach. Learn. Sci. Technol., 2024)

Development of a metabolite-based deep learning algorithm for clinical precise diagnosis of the progression of diabetic kidney disease - Qiong Lai; Bingwen Zhou; Zhiming Cui; Xiaofei An; Lin Zhu; Zhengyu Cao; Shijia Liu; Boyang Yu (Biomed. Signal Process. Control., 2023)

Method of Fault Self-Healing in Distribution Network and Deep Learning Under Cloud Edge Architecture - Zhenxing Lin; Liangjun Huang; Boyang Yu; Chenhao Qi; Linbo Pan; Yu Wang; Chengyu Ge; Rongrong Shan (Int. J. Inf. Technol. Syst. Approach, 2023)

Doubly Stochastic Models: Learning with Unbiased Label Noises and Inference Stability - Haoyi Xiong; Xuhong Li; Boyang Yu; Zhanxing Zhu; Dongrui Wu; Dejing Dou (CoRR, 2023)

Improved selective background Monte Carlo simulation at Belle II with graph attention networks and weighted events - Boyang Yu; Nikolai Hartmann; Luca Schinnerl; Thomas Kuhr (CoRR, 2023)

Benchmarking Large Language Model Volatility - Boyang Yu (CoRR, 2023)

Monotonicity correction for second order element finite volume methods of anisotropic diffusion problems - Hongtao Yang; Boyang Yu; Yonghai Li; Guangwei Yuan (J. Comput. Phys., 2022)

A Small Range Ergodic Beamforming Method Based on Binocular Vision Positioning - Boyang Yu; Xin Zhang (7th IEEE International Conference on Network Intelligence and Digital Content, IC-NIDC 2021, Beijing, China, November 17-19, 2021, 2021)

IMBENS: Ensemble Class-imbalanced Learning in Python - Zhining Liu; Zhepei Wei; Erxin Yu; Qiang Huang; Kai Guo; Boyang Yu; Zhaonian Cai; Hangting Ye; Wei Cao; Jiang Bian; Pengfei Wei; Jing Jiang; et al. (CoRR, 2021)

Towards Inter-class and Intra-class Imbalance in Class-imbalanced Learning - Zhining Liu; Pengfei Wei; Zhepei Wei; Boyang Yu; Jing Jiang; Wei Cao; Jiang Bian; Yi Chang (CoRR, 2021)

Multi-Source News Recommender System Based on Convolutional Neural Networks - Boyang Yu; Jiejing Shao; Quan Cheng; Hang Yu; Guangli Li; Shuai Lü (Proceedings of the 3rd International Conference on Intelligent Information Processing, ICIIP 2018, Guilin, China, May 19-20, 2018, 2018)

Image retrieval by information fusion based on scalable vocabulary tree and robust Hausdorff distance - Chang Che; Xiaoyang Yu; Xiaoming Sun; Boyang Yu (EURASIP J. Adv. Signal Process., 2017)

WPNet: Wallpaper Recommendation with Deep Convolutional Neural Networks - Hang Yu; Quan Cheng; Jiejing Shao; Boyang Yu; Guangli Li; Shuai Lü (Geo-Spatial Knowledge and Intelligence - 5th International Conference, GSKI 2017, Chiang Mai, Thailand, December 8-10, 2017, Revised Selected Papers, Part II, 2017)

On exploiting location flexibility in data-intensive distributed systems - Boyang Yu (University of Victoria, Canada, 2016)

A Secure Privacy-Preserving Hierarchical Location Service for Mobile Ad Hoc Networks - Xinghua Ruan; Boyang Yu; Jingdong Xu; Lin Yang (Mobile Ad-Hoc and Sensor Networks, Third International Conference, MSN 2007, Beijing, China, December 12-14, 2007, Proceedings, 2007)