Logic basis for anticipatory reasoning-reacting systems with three-dimensional moving objects. - Chun-Yan Han; Yixian Liu; Ji-Peng Liu; Zhiliang Liu; Dancheng Li; Zhiliang Zhu 001; Jingde Cheng (ICMLC, 2010)

Comparison of two mathematical models for predicting the fallout hazard from terrorist nuclear detonations. - Zhiliang Liu; Xin Lu; Peng Peng (EMEIT, 2011)

Comparison of two filter media for nuclear, chemical and biological filter applications. - Xin Lu; Zhiliang Liu; Peng Peng; Guoqing Wu (EMEIT, 2011)

Converting Digital Image to SVG for User Interaction. - Qiang Wei; Dancheng Li; Cheng Liu; Binsheng Liu; Zhiliang Liu (ICAIC (1), 2011)

A Semi-Supervised Approach Based on k-Nearest Neighbor. - Zhiliang Liu; Xiaomin Zhao; Jianxiao Zou; Hongbing Xu (J. Softw., 2013)

Feature selection for fault level diagnosis of planetary gearboxes. - Zhiliang Liu; Xiaomin Zhao; Ming Jian Zuo; Hongbing Xu (Adv. Data Anal. Classif., 2014)

An Analytical Approach to Fast Parameter Selection of Gaussian RBF Kernel for Support Vector Machine. - Zhiliang Liu; Ming Jian Zuo; Xiaomin Zhao; Hongbing Xu (J. Inf. Sci. Eng., 2015)

Fast kernel feature ranking using class separability for big data mining. - Zhiliang Liu (J. Supercomput., 2016)

Observer-based adaptive fuzzy control of switched nonlinear systems under arbitrary switchings. - Zhiliang Liu; Bing Chen 001; Chong Lin; Li Zhang (ASCC, 2017)

Adaptive Neural Backstepping for a Class of Switched Nonlinear System Without Strict-Feedback Form. - Zhiliang Liu; Bing Chen 001; Chong Lin (IEEE Trans. Syst. Man Cybern. Syst., 2017)

A fault diagnosis method of planetary gearbox under variable speed condition using Vold-Kalman filter and Laplacian score. - Yongbo Li; Xianzhi Wang 002; Zhiliang Liu; Shubin Si (ICPHM, 2018)

Improved Empirical AM and FM Demodulation for Mono-component Signals. - Dandan Peng; Zhiliang Liu; Ronghui Li; Yongbo Li (ICPHM, 2018)

Understanding real faults of axle box bearings based on vibration data using decision tree. - Xuejun Zhao; Yong Qin 002; Linlin Kou; Zhiliang Liu (ICPHM, 2018)

Output-feedback control design for switched nonlinear systems: Adaptive neural backstepping approach. - Zhiliang Liu; Bing Chen 001; Chong Lin (Inf. Sci., 2018)

Informative frequency band selection based on a new indicator: Accuracy rate. - Yaqiang Jin; Zhiliang Liu; Dandan Peng; Jinlong Kang; Jianming Ding (J. Intell. Fuzzy Syst., 2018)

Distributed Adaptive Tracking Control for a Class of High-order Uncertain Nonlinear Multi-agent Systems via Neural Approximation Approach. - Yun Shang; Bing Chen 001; Chong Lin; Zhiliang Liu (ASCC, 2019)

Adaptive Neural Constraint Output Control for a Class of Quantized Input Switched Nonlinear System. - Zhiliang Liu; Bing Chen 001; Chong Lin; Yun Shang (IEEE Access, 2019)

A Novel Deeper One-Dimensional CNN With Residual Learning for Fault Diagnosis of Wheelset Bearings in High-Speed Trains. - Dandan Peng; Zhiliang Liu; Huan Wang 015; Yong Qin 002; Limin Jia 002 (IEEE Access, 2019)

Adaptive Tracking Control for a Class of Uncertain Nonlinear Multi-Agent Systems With Input Quantization Based on Neural Approach. - Yun Shang; Bing Chen 001; Chong Lin; Zhiliang Liu (IEEE Access, 2019)

Deep Hashing Neural Networks for Hyperspectral Image Feature Extraction. - Leyuan Fang; Zhiliang Liu; Weiwei Song (IEEE Geosci. Remote. Sens. Lett., 2019)

Differential Equation-Based Prediction Model for Early Change Detection in Transient Running Status. - Xin Wen; Guangyuan Chen; Guoliang Lu; Zhiliang Liu; Peng Yan 001 (Sensors, 2019)

Reliable stream data processing for elastic distributed stream processing systems. - Xiaohui Wei 002; Yuan Zhuang 003; Hongliang Li 003; Zhiliang Liu (Clust. Comput., 2020)

Analysis of network topology and deployment mode of 5G wireless access network. - Zhiliang Liu; Zengzhi Zou (Comput. Commun., 2020)

Synergistic Evaluation and Constraint Factor Analysis on Urban Industrial Ecosystems of Traditional Industrial Area in China. - Chengpeng Lu; Wei Ji; Zhiliang Liu; Shuheng Dong; Bing Xue (Complex., 2020)

Adaptive neural quantized control for a class of switched nonlinear systems. - Zhiliang Liu; Bing Chen 001; Chong Lin (Inf. Sci., 2020)

Multibranch and Multiscale CNN for Fault Diagnosis of Wheelset Bearings Under Strong Noise and Variable Load Condition. - Dandan Peng; Huan Wang 015; Zhiliang Liu; Wei Zhang 155; Ming Jian Zuo; Jian Chen (IEEE Trans. Ind. Informatics, 2020)

Understanding and Learning Discriminant Features based on Multiattention 1DCNN for Wheelset Bearing Fault Diagnosis. - Huan Wang 015; Zhiliang Liu; Dandan Peng; Yong Qin 002 (IEEE Trans. Ind. Informatics, 2020)

Fault Diagnosis of Vibration Data Acquisition System. - Yujie Wu; Yuhua Yin; Zetong Zhou; Zhiliang Liu (CAA SAFEPROCESS, 2021)

Adversarial attack for deep-learning-based fault diagnosis models. - Yipei Ge; Huan Wang 015; Zhiliang Liu (QRS Companion, 2021)

Automatic Detection of Obstructive Sleep Apnea Events Using a Deep CNN-LSTM Model. - Junming Zhang; Zhen Tang; Jinfeng Gao; Li Lin; Zhiliang Liu; Haitao Wu; Fang Liu; Ruxian Yao (Comput. Intell. Neurosci., 2021)

Variation Characteristic of NDVI and its Response to Climate Change in the Middle and Upper Reaches of Yellow River Basin, China. - Chengpeng Lu; Muchen Hou; Zhiliang Liu; Hengji Li; Chenyu Lu (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

Fault Diagnosis of Steel Wire Ropes Based on Magnetic Flux Leakage Imaging Under Strong Shaking and Strand Noises. - Zuopu Zhou; Zhiliang Liu (IEEE Trans. Ind. Electron., 2021)

Early Change Detection in Dynamical Bearing Degradation Process Based on Hierarchical Graph Model and Adaptive Inputs Weighting Fusion. - Shaohua Yang; Zhiliang Liu; Guoliang Lu (IEEE Trans. Ind. Informatics, 2021)

Multitask Learning Based on Lightweight 1DCNN for Fault Diagnosis of Wheelset Bearings. - Zhiliang Liu; Huan Wang 015; Junjie Liu; Yong Qin 002; Dandan Peng (IEEE Trans. Instrum. Meas., 2021)

Shaking Noise Elimination for Detecting Local Flaw in Steel Wire Ropes Based on Magnetic Flux Leakage Detection. - Liyuan Ren; Zhiliang Liu; Jianguo Zhou (IEEE Trans. Instrum. Meas., 2021)

Control Design for Uncertain Switched Nonlinear Systems: Adaptive Neural Approach. - Zhiliang Liu; Peng Shi 001; Bing Chen 001; Chong Lin (IEEE Trans. Syst. Man Cybern. Syst., 2021)

Prescribed-time adaptive neural feedback control for a class of nonlinear systems. - Zhiliang Liu; Chong Lin; Yun Shang (Neurocomputing, 2022)

Self-supervised signal representation learning for machinery fault diagnosis under limited annotation data. - Huan Wang 015; Zhiliang Liu; Yipei Ge; Dandan Peng (Knowl. Based Syst., 2022)

A class-aware supervised contrastive learning framework for imbalanced fault diagnosis. - Jiyang Zhang; Jianxiao Zou; Zhiheng Su; Jianxiong Tang; Yuhao Kang; Hongbing Xu; Zhiliang Liu; Shicai Fan (Knowl. Based Syst., 2022)

Feature-Level Attention-Guided Multitask CNN for Fault Diagnosis and Working Conditions Identification of Rolling Bearing. - Huan Wang 015; Zhiliang Liu; Dandan Peng; Mei Yang; Yong Qin 002 (IEEE Trans. Neural Networks Learn. Syst., 2022)

Shaking Noise Exploration and Elimination for Detecting Local Flaws of Steel Wire Ropes Based on Magnetic Flux Leakages. - Zhiliang Liu; Liyuan Ren (IEEE Trans. Ind. Electron., 2023)

Fully Simulated-Data-Driven Transfer-Learning Method for Rolling-Bearing-Fault Diagnosis. - Ting Ai; Zhiliang Liu; Jiyang Zhang; Honghao Liu; Yaqiang Jin; Ming Jian Zuo (IEEE Trans. Instrum. Meas., 2023)

A Novel Deep Parallel Time-Series Relation Network for Fault Diagnosis. - Chun Yang; Jiyang Zhang; Yang Chang; Jianxiao Zou; Zhiliang Liu; Shicai Fan (IEEE Trans. Instrum. Meas., 2023)

A Three-Dimensional Vibration Data Compression Method for Rolling Bearing Condition Monitoring. - Yuhua Yin; Zhiliang Liu; Ming Jian Zuo; Zetong Zhou; Junhao Zhang (IEEE Trans. Instrum. Meas., 2023)

An Adaptive Sampling Framework for Life Cycle Degradation Monitoring. - Yuhua Yin; Zhiliang Liu; Junhao Zhang; Enrico Zio; Ming Jian Zuo (Sensors, 2023)

Digital twin aided adversarial transfer learning method for domain adaptation fault diagnosis. - Jinrui Wang; Zongzhen Zhang; Zhiliang Liu; Baokun Han; Huaiqian Bao; Shanshan Ji (Reliab. Eng. Syst. Saf., 2023)

Physics-driven feature alignment combined with dynamic distribution adaptation for three-cylinder drilling pump cross-speed fault diagnosis. - Menghang Dai; Zhiliang Liu; Jinrui Wang; Ming Jian Zuo (Reliab. Eng. Syst. Saf., 2024)

A Few-Shot Machinery Fault Diagnosis Framework Based on Self-Supervised Signal Representation Learning. - Huan Wang 015; Xindan Wang; Yizhuo Yang 001; Konstantinos C. Gryllias; Zhiliang Liu (IEEE Trans. Instrum. Meas., 2024)

An Online Fault Detection and Remaining Life Prediction Method Based on SVDD for Rolling Bearings. - Aiyun Yan; Yuhang Zhao; Zhenlin Lu; Yongheng Pang; Shuowei Jin; Zhiliang Liu; Hongchao Xu; Huan He (IEEE Trans. Instrum. Meas., 2024)

Adaptive Local Flaw Detection Based on Magnetic Flux Leakage Images With a Noise Distortion Effect for Steel Wire Ropes. - Feiyang Pan; Zhiliang Liu; Liyuan Ren; Ming Jian Zuo (IEEE Trans. Ind. Electron., 2024)

Fourier Feature Refiner Network With Soft Thresholding for Machinery Fault Diagnosis Under Highly Noisy Conditions. - Huan Wang 015; Wenjun Luo; Zhiliang Liu; Junhao Zhang; Ming Jian Zuo (IEEE Internet Things J., 2024)

A Data Compression Method With an Encryption Feature for Safe and Lightweight Vibration Condition Monitoring. - Yuhua Yin; Zhiliang Liu; Qiang Zhang; Yong Qin 002; Ming Jian Zuo (IEEE Internet Things J., 2024)

Koopman Operator and Model Predictive Control Integration for Autonomous Underwater Vehicle Speed Regulation. - Bing Cong; Zhiliang Liu (ANZCC, 2025)

Multipass InSAR Phase Linking for Non-Gaussian Scatterers. - Yusong Bai; Jiaqi Li; Yuheng Zhou; Zhiliang Liu; Shengkai Liu; Chunping Shi; Jian Kang 005 (IEEE Trans. Geosci. Remote. Sens., 2025)

Adaptive Inspection Approach for Internal Local Flaw Detection Based on Magnetic Flux Leakage Imaging. - Liyuan Ren; Zhiliang Liu; Feiyang Pan; Leilei Yang; Ming Jian Zuo (IEEE Trans. Instrum. Meas., 2025)

Enhanced Koopman Operator Approximation for Nonlinear Systems Using Broading Learning System. - Yangjun Sun; Zhiliang Liu (CoRR, 2025)

Optimizing AUV speed dynamics with a data-driven Koopman operator approach. - Zhiliang Liu; Xin Zhao; Peng Cai; Bing Cong (CoRR, 2025)

InsightX Agent: An LMM-based Agentic Framework with Integrated Tools for Reliable X-ray NDT Analysis. - Jiale Liu; Huan Wang; Yue Zhang; Xiaoyu Luo; Jiaxiang Hu; Zhiliang Liu; Min Xie (CoRR, 2025)