Tongue verification with manifold learning. - Zhi Liu 004; Hongjun Wang 004; Wei Jiang 006; Huawei Zhuang (ICNC, 2011)

Combination of measurement uncertainty contributions via the generalized Dombi operator. - Alessandro Ferrero; Marco Prioli; Simona Salicone; Wei Jiang 006 (IFSA-EUSFLAT, 2015)

An extension of Kalman filter within the possibility theory. - Wei Jiang 006; Simona Salicone; Alessandro Ferrero; Roberto Ferrero; Qi Zhang (I2MTC, 2017)

A Possible Way to Perform Recursive Bayesian Estimate in the Possibility Domain. - Wei Jiang 006; Alessandro Ferrero; Simona Salicone; Qi Zhang (IEEE Trans. Instrum. Meas., 2017)

A New Motor Imagery EEG Classification Method FB-TRCSP+RF Based on CSP and Random Forest. - Ranran Zhang; Xiaoyan Xiao; Zhi Liu 004; Wei Jiang 006; Jianwen Li; Yankun Cao; Jianmin Ren; Dongmei Jiang; Lizhen Cui (IEEE Access, 2018)

A Study of The Growth of The Amount of Meteorological Observation Sites over 200 Years. - Jin Chai; Wei Jiang 006; Yuxia Fu; Choujun Zhan; Zhiwen Yu 002 (ISKE, 2019)

A Dual-level Model Predictive Control Scheme for Multi-timescale Dynamical Systems. - Xinglong Zhang; Wei Jiang 006; Zhizhong Li; Xin Xu 001 (CoRR, 2019)

A hierarchical Lyapunov-based cascade adaptive control scheme for lower-limb exoskeleton. - Xinglong Zhang; Wei Jiang 006; Zhizhong Li; Shengli Song (Eur. J. Control, 2019)

The Kalman Filter Uncertainty Concept in the Possibility Domain. - Alessandro Ferrero; Roberto Ferrero; Wei Jiang 006; Simona Salicone (IEEE Trans. Instrum. Meas., 2019)

Short-term PM2.5 Forecasting with a Hybrid Model Based on Ensemble GRU Neural Network. - Wei Jiang 006; Songyan Li; Zefeng Xie; Wanling Chen; Choujun Zhan (INDIN, 2020)

Analysis of collective action propagation with multiple recurrences. - Choujun Zhan; Fujian Wu; Zhenhua Huang 001; Wei Jiang 006; Qizhi Zhang (Neural Comput. Appl., 2020)

Empirical Mode Decomposition Based Deep Neural Networks for AQI Forecasting. - Wei Jiang 006; Yuxia Fu; Fabing Lin; Jing Liu; Choujun Zhan (NCAA, 2021)

Daily PM2.5 Forecasting Using Graph Convolutional Networks Based on Human Migration. - Choujun Zhan; Wei Jiang 006; Qiaoling Zhen; Haoran Hu; Wei Yuan (NCAA, 2021)

Fuzzy implications in lattice effect algebras. - Wei Jiang 006 (Fuzzy Sets Syst., 2021)

Data-driven Kalman Filter with Kernel-based Koopman Operators for Nonlinear Robot Systems. - Wei Jiang 006; Xinglong Zhang; Zhen Zuo; Meiping Shi; Shaojing Su (IROS, 2022)

A decomposition-ensemble broad learning system for AQI forecasting. - Choujun Zhan; Wei Jiang 006; Fabing Lin; Shuntao Zhang; Bing Li 007 (Neural Comput. Appl., 2022)

Human migration-based graph convolutional network for PM2.5 forecasting in post-COVID-19 pandemic age. - Choujun Zhan; Wei Jiang 006; Hu Min; Ying Gao 004; C. K. Tse (Neural Comput. Appl., 2023)

A Dual-Level Model Predictive Control Scheme for Multitimescale Dynamical Systems. - Xinglong Zhang; Wei Jiang 006; Shuyou Yu 001; Xin Xu 001; Zhizhong Li (IEEE Trans. Syst. Man Cybern. Syst., 2023)

Physics-guided Active Sample Reweighting for Urban Flow Prediction. - Wei Jiang 006; Tong Chen 005; Guanhua Ye; Wentao Zhang 001; Lizhen Cui; Zi Huang; Hongzhi Yin (CIKM, 2024)

HDKI: A Hierarchical Deep Koopman Framework for Spatio-Temporal Prediction with Image Observations. - Yuxuan He; Haibin Xie; Junheng Liu; Wei Jiang 006; Xinglong Zhang; Xin Xu 001 (ICONIP (7), 2024)

Challenging Low Homophily in Social Recommendation. - Wei Jiang 006; Xinyi Gao 001; Guandong Xu; Tong Chen 005; Hongzhi Yin (WWW, 2024)

Graph Condensation: A Survey. - Xinyi Gao 001; Junliang Yu; Wei Jiang 006; Tong Chen 005; Wentao Zhang 001; Hongzhi Yin (CoRR, 2024)

Epidemiology-informed Graph Neural Network for Heterogeneity-aware Epidemic Forecasting. - Yufan Zheng; Wei Jiang 006; Alexander Zhou 001; Nguyen Quoc Viet Hung; Choujun Zhan; Tong Chen 005 (CoRR, 2024)

Epidemiology-informed Network for Robust Rumor Detection. - Wei Jiang 006; Tong Chen 005; Xinyi Gao 001; Wentao Zhang 001; Lizhen Cui; Hongzhi Yin (WWW, 2025)