Expression Profile of the Schistosoma japonicum Degradome Reveals Differential Protease Expression Patterns and Potential Anti-schistosomal Intervention Targets. - Shuai Liu; Pengfei Cai; Xianyu Piao; Nan Hou; Xiaosu Zhou; Chuang Wu; Heng Wang; Qijun Chen (PLoS Comput. Biol., 2014)

Non-fragile H∞ filtering for nonlinear systems with randomly occurring gain variations and channel fadings. - Weijian Ren; Nan Hou; Qiong Wang; Yang Lu 003; Xiaohui Liu 001 (Neurocomputing, 2015)

Non-fragile state estimation for discrete Markovian jumping neural networks. - Nan Hou; Hongli Dong; Zidong Wang 001; Weijian Ren; Fuad E. Alsaadi (Neurocomputing, 2016)

State estimation for delayed Markovian jumping neural networks over sensor nonlinearities and disturbances. - Jiahui Li 004; Hongli Dong; Fei Han 003; Nan Hou (IECON, 2017)

Event-triggered distributed state estimation for a class of time-varying systems over sensor networks with redundant channels. - Hongli Dong; Xianye Bu; Nan Hou; Yurong Liu; Fuad E. Alsaadi; Tasawar Hayat (Inf. Fusion, 2017)

H∞ state estimation for discrete-time neural networks with distributed delays and randomly occurring uncertainties through Fading channels. - Nan Hou; Hongli Dong; Zidong Wang 001; Weijian Ren; Fuad E. Alsaadi (Neural Networks, 2017)

Event-triggered state estimation for time-delayed complex networks with gain variations based on partial nodes. - Nan Hou; Hongli Dong; Weidong Zhang 004; Yurong Liu; Fuad E. Alsaadi (Int. J. Gen. Syst., 2018)

Event-triggered non-fragile H∞ fault detection for discrete time-delayed nonlinear systems with channel fadings. - Weijian Ren; Shibo Sun; Nan Hou; Chaohai Kang (J. Frankl. Inst., 2018)

Variance-Constrained State Estimation for Complex Networks With Randomly Varying Topologies. - Hongli Dong; Nan Hou; Zidong Wang 001; Weijian Ren (IEEE Trans. Neural Networks Learn. Syst., 2018)

Distributed filtering for time-varying systems over sensor networks with randomly switching topologies under the Round-Robin protocol. - Xianye Bu; Hongli Dong; Fei Han 003; Nan Hou; Gongfa Li (Neurocomputing, 2019)

Dynamical performance analysis of communication-embedded neural networks: A survey. - Wei Chen 091; Derui Ding; Jingyang Mao; Hongjian Liu; Nan Hou (Neurocomputing, 2019)

On passivity and robust passivity for discrete-time stochastic neural networks with randomly occurring mixed time delays. - Jiahui Li 004; Hongli Dong; Zidong Wang 001; Nan Hou; Fuad E. Alsaadi (Neural Comput. Appl., 2019)

Fault estimation for complex networks with randomly varying topologies and stochastic inner couplings. - Hongli Dong; Nan Hou; Zidong Wang 001 (Autom., 2020)

Outlier-resistant H∞ filtering for a class of networked systems under Round-Robin protocol. - Haijing Fu; Hongli Dong; Fei Han 003; Yuxuan Shen; Nan Hou (Neurocomputing, 2020)

Set-membership filtering for piecewise linear systems with censored measurements under Round-Robin protocol. - Xuerong Li; Fei Han 003; Nan Hou; Hongli Dong; Hongjian Liu (Int. J. Syst. Sci., 2020)

Fault estimation for time-varying systems with Round-Robin protocol. - Haijing Fu; Hongli Dong; Jinbo Song; Nan Hou; Gongfa Li (Kybernetika, 2020)

Robust Partial-Nodes-Based State Estimation for Complex Networks Under Deception Attacks. - Nan Hou; Zidong Wang 001; Daniel W. C. Ho; Hongli Dong (IEEE Trans. Cybern., 2020)

Outlier-resistant bserver-based H∞ PID control under stochastic communication protocol. - Haijing Fu; Jiahui Li 004; Fei Han 003; Nan Hou; Hongli Dong (Appl. Math. Comput., 2021)

A Partial-Node-Based Approach to State Estimation for Complex Networks With Sensor Saturations Under Random Access Protocol. - Nan Hou; Hongli Dong; Zidong Wang 001; Hongjian Liu (IEEE Trans. Neural Networks Learn. Syst., 2021)

Applications of Kalman Filtering in Time Series Prediction. - Xuegui Li; Shuo Feng; Nan Hou; Hanyang Li; Shuai Zhang; Zhen Jian; Qianlong Zi (ICIRA (3), 2022)

Novel leakage detection by ensemble 1DCNN-VAPSO-SVM in oil and gas pipeline systems. - Dandi Yang; Nan Hou; Jingyi Lu; Daan Ji (Appl. Soft Comput., 2022)

Finite-horizon resilient state estimation for complex networks with integral measurements from partial nodes. - Nan Hou; Jiahui Li 004; Hongjian Liu; Yuan Ge; Hongli Dong (Sci. China Inf. Sci., 2022)

Sensor Fault Estimation for Nonlinear Complex Networks With Time Delays Under Saturated Innovations: A Binary Encoding Scheme. - Nan Hou; Zidong Wang 001; Hongli Dong; Jun Hu 004; Xiaohui Liu 001 (IEEE Trans. Netw. Sci. Eng., 2022)

Finite-Horizon Variance-Constrained Estimation for Complex Networks Subject to Dynamical Bias Using Binary Encoding Schemes. - Weijian Li; Nan Hou; Fan Yang; Xianye Bu; Ligang Sun (IEEE Access, 2023)

Finite-horizon distributed set-membership filtering with dynamical bias and DoS attacks under binary encoding schemes. - Xuerong Li; Jinbo Song; Nan Hou; Dongyan Dai; Fan Yang (Inf. Sci., 2023)

Participative leadership and employees' cyberloafing: A self-concept-based theory perspective. - Jian Peng; Nan Hou; Yanchun Zou; Ruizhi Long (Inf. Manag., 2023)

Distributed Fault Estimation Over Sensor Networks With Randomly Switching Topologies Under Binary Encoding Scheme. - Nan Hou; Zidong Wang 001; Hongli Dong; Yuxuan Shen; Hongjian Liu (IEEE Trans. Netw. Sci. Eng., 2024)

Collaborative-Prediction-Based Recursive Filtering for Nonlinear Systems Subject to Low-Duty-Cycle Scheduling. - Hongyu Gao; Lindong Yu; Nan Hou; Jinbo Song; Yue Li (IEEE Trans. Signal Process., 2024)

Partial-Nodes-Based Finite-Time Fault Estimator Design for Nonlinear Time-Varying Complex Networks Utilizing Binary Encoding Schemes. - Nan Hou; Dandi Yang; Xianye Bu; Zhongrui Hu; Dianjie Sui (IEEE Access, 2025)

Adaptive denoising method for leakage detection of liquid pipelines using automatic variational mode decomposition. - Jingyi Lu; Jiali Li; Xuefeng Zhao; Yao Chen; Lan Meng; Dandi Yang; Nan Hou (J. Frankl. Inst., 2025)