ωθ-Convergence Theory of Ideals in Lω-Spaces. - Bo Chen; Liyun Su (ICFIE, 2009)

A New Covert Image Communication Approach with HVS and GFCM. - Liyun Su; Fenglan Li; Jiaojun Li; Bo Chen (ICFIE, 2009)

Prediction of multivariate chaotic time series with local polynomial fitting. - Liyun Su (Comput. Math. Appl., 2010)

Blind Image Restoration with Modified CMA. - Liyun Su; Ruihua Liu (Int. J. Image Graph., 2011)

Noise Immunity of Duffing Oscillator And Its Applications in Weak UWB Signal Detection. - Liyun Su; Qian Yang; Yuli Zhang; Jiaojun Li (J. Networks, 2012)

Extracting Narrow-Band Signal from a Chaotic Background with LLVCR. - Liyun Su; Chenlong Li (Wirel. Pers. Commun., 2017)

Estimating Weak Pulse Signal in Chaotic Background with Jordan Neural Network. - Liyun Su; Xiu Ling (Complex., 2020)

Statistical Detection of Weak Pulse Signal under Chaotic Noise Based on Elman Neural Network. - Liyun Su; Li Deng; Wanlin Zhu; Shengli Zhao (Wirel. Commun. Mob. Comput., 2020)

Prediction of Chaotic Time Series Based on BEN-AGA Model. - Liyun Su; Fan Yang (Complex., 2021)

Distributed Sensor Local Linear Fusion Detection of Weak Pulse Signal in Chaotic Background. - Liyun Su; Meini Li; Shengli Zhao; Ting Xie (J. Sensors, 2021)

Detection Fusion of Weak Signal under Chaotic Noise Based on Distributed System. - Shengli Zhao; Lizhi Zhang; Liyun Su (J. Sensors, 2021)

Double-layer robust broad logistic regression for detecting weak pulse signal in chaotic interference. - Liyun Su; Jialing Yang; Fenglan Li; Yun Jiang (Digit. Signal Process., 2022)

Detection of Weak Pulse Signal in Chaotic Noise Based on Improved Brain Emotional Learning Model and PSO-AGA. - Chen Dan 004; Shengli Zhao; Hua Li; Liyun Su (J. Sensors, 2022)

Weak Harmonic Signal Detecting in Chaotic Noise Based on Empirical Likelihood Ratio. - Liyun Su; Wanlin Zhu; Xiu Ling; Shengli Zhao (Wirel. Pers. Commun., 2022)

Multi-Attn BLS: Multi-head attention mechanism with broad learning system for chaotic time series prediction. - Liyun Su; Lang Xiong; Jialing Yang (Appl. Soft Comput., 2023)

Structural design and active disturbance rejection control of rigid-flexible coupling motion stage for nanopositioning. - Zhijun Yang; Ruirui Huang; Sen Chen; Liyun Su; Ruiqi Li (J. Frankl. Inst., 2023)

PSR-LSTM model for weak pulse signal detection. - Liyun Su; Mingliang Yin; Shengli Zhao (Multim. Tools Appl., 2023)

Dynamic adaptive graph convolutional transformer with broad learning system for multi-dimensional chaotic time series prediction. - Lang Xiong; Liyun Su; Xiaoyi Wang; Chunquan Pan (Appl. Soft Comput., 2024)

DeepEnzyme: a robust deep learning model for improved enzyme turnover number prediction by utilizing features of protein 3D-structures. - Tong Wang; Guangming Xiang; Siwei He; Liyun Su; Yuguang Wang; Xuefeng Yan; Hongzhong Lu (Briefings Bioinform., 2024)

A classification method of fuzzy semi-supervised support vector machines for the problems of imbalance. - Jing Quan 002; Shengli Zhao; Liyun Su; Lindai Lv (Int. J. Wavelets Multiresolution Inf. Process., 2024)

Enhanced Multidimensional Nonlinear Correlation via Phase Reconstruction and Broad Learning for Distributed Fusion Detection of Weak Pulse Signals. - Liyun Su; Xuelian Long (Int. J. Intell. Syst., 2025)

Kernel broad learning cauchy conjugate gradient algorithm for online chaotic time series prediction. - Liyun Su; Xiaoyi Wang (Neurocomputing, 2025)

CT-DDPM: Anomaly detection of multivariate time series with copula and transformer-based denoising diffusion probabilistic models. - Chunquan Pan; Liyun Su; Lang Xiong; Jialing Yang; Fenglan Li (Inf. Sci., 2025)