[&] Linear fuzzy information-granule-based fuzzy c-means algorithm for clustering time series, IEEE Transactions on Cybernetics, 2022, doi: 10.1109/TCYB.2022.3184999. (With Zonglin Yang, et al)
[&] The trend-fuzzy-granulation-based adaptive fuzzy cognitive map for long-term time series forecasting, IEEE Transactions on Fuzzy Systems, doi: 10.1109/TFUZZ.2022.3169624 (With Yihan Wang, et al)
[&] Linear dynamic fuzzy granule based long-term forecasting model of interval-valued time series, Information Sciences, Vol. 586, 2022, 563-595(With Yadong Hao, et al)
[&] A fast algorithm for mining temporal association rules in a multi-attributed graph sequence, Expert Systems with Applications, Vol.192, 2022, doi:10.1016/j.eswa.2021.116390 (With Xubo Du)
[&] Training novel adaptive fuzzy cognitive map by knowledge-guidance learning mechanism for large-scale time-series forecasting, IEEE Transactions on Cybernetics, doi: 10.1109/TCYB.2021.3132704 (With Yihan Wang, et al)
[&] Multilinear-trend fuzzy information granule based short-term forecasting for time series, IEEE Transactions on Fuzzy Systems, doi: 10.1109/TFUZZ.2021.3113762 (With Fang Li,et al)
[&] Building trend fuzzy granulation based LSTM recurrent neural network for long-term time series forecasting, IEEE Transactions on Fuzzy Systems, doi: 10.1109/TFUZZ.2021.3062723(With Yuqing Tang,et al)
[&] Typical Characteristics-based Type-2 Fuzzy C-Means Algorithm, IEEE Transactions on Fuzzy Systems, doi: 10.1109/TFUZZ.2020.2969907.(With Xiyang Yang, et al)
[&] Multi-factor one-order cross-association fuzzy logical relationships based forecasting models of time series, Information Sciences, 2020, Vol.508, 309-328. (With Fang Li)
[&] A novel alleviating fuzzy control algorithm for a class of nonlinear stochastic systems in pure-feedback form, Fuzzy Sets and Systems, 2019, doi：10.1016/j.fss.2020.08.009 (With Rui Wang, et al)[&] Clustering of interval-valued time series of unequal length based on improved dynamic time warping, Expert Systems with Applications, 2019, Vol.125, 293-304. (With Xiao Wang, et al)
[&] Time-series clustering based on linear fuzzy information granules, Applied Soft Computing, 2018, Vol.73, 1053-1067. (With Lingzi Duan,et al)
[&] Hierarchical clustering of unequal-length time series with area-based shape distance, Soft Computing,2018,doi：10.1007/s00500-018-3287-6.(With Xiao Wang,et al)
[&] Long-term forecasting of time series based on linear fuzzy information granules and fuzzy inference system, International Journal of Approximate Reasoning, 2017, Vol.81, 1–27.(With Xiyang Yang,et al)
[&] The design of fuzzy information granules: tradeoff between specificity and experimental evidence, Applied Soft Computing, 2009, vol.9, 264-273. (With W.Pedrycz)
[&] An area-based shape distance measure of time series, Applied Soft Computing, 2016, Vol.48, 650-659. (With Xiao Wang,et al)
[&] Granularity approach for multi-criteria decision making about hybrid evaluation information, International Journal of Pattern Recognition and Artificial Intelligence，2018, Vol.32(11). (With Shihu Liu,et al)
[&] Large-scale time series clustering based on fuzzy granulation and collaboration，International Journal of Intelligent Systems, 2015, vol.30, 763-780. (With Xiao Wang,et al)[&] Adaptive non-backstepping fuzzy control for a class of uncertain nonlinear systems with unknown dead-zone input，Asian Journal of Control, 2015, vol.17(5), 1–9. (With Rui Wang,et al)
[&] A novel alleviating computation algorithm for a class of large-scale nonlinear systems with unknown dead-zones，Nonlinear Dynamics, 2014, vol.76, 915–930. (With Rui Wang,et al)
[&] Enhanced detection of burned area using cross- and autocorrelation, Journal of Applied Remote Sensing, 2015, Vol.9(1). (With Tauqir Ahmed Moughal, et al)
[&] Adaptive non-backstepping fuzzy tracking control for a class of multiple-input–multiple-output pure-feedback systems with unknown dead-zones，IET Control Theory and Applications, 2014,Vol.8(14), 1293–1302. (With Rui Wang,et al)
