Existence of Periodic Solution for Impulsive Cellular Neural Networks. - Li Xiao; Anping Liu; Linli Zhang; Qing Tang (ICNC (2), 2008)

Existence of Periodic Solution for Cellular Neural Networks. - Linli Zhang; Anping Liu; Huijuan Li; Qing Tang (ICNC (3), 2008)

Existence and Stability of Periodic Solution for Impulsive Hopfield Cellular Neural Networks with Time Delays. - Linli Zhang; Anping Liu; Li Xiao (CSEE (3), 2011)

Extending signal temporal logic specifications for distributed model predictive control. - Linli Zhang; Dewei Li 001; Yugeng Xi 001; Jiwei Li (ASCC, 2017)

Reinforcement learning with actor-critic for knowledge graph reasoning. - Linli Zhang; Dewei Li 001; Yugeng Xi 001; Shuai Jia (Sci. China Inf. Sci., 2020)

Flow-Based Clustering and Spectral Clustering: A Comparison. - Yasmin Sarcheshmehpour; Yu Tian; Linli Zhang; Alexander Jung (ACSCC, 2021)

Networked Federated Multi-Task Learning. - Yasmin Sarcheshmehpour; Yu Tian; Linli Zhang; Alexander Jung (CoRR, 2021)

Brain-Inspired Experience Reinforcement Model for Bin Packing in Varying Environments. - Linli Zhang; Dewei Li 001; Shuai Jia; Haibin Shao (IEEE Trans. Neural Networks Learn. Syst., 2022)

Multiple Harmonic Information Fusion for Residual Oxygen Concentration Analysis of Pharmaceutical Glass Vials. - Zihuai Liu; Linli Zhang; Yonggang Li; Qiwu Luo; Chunhua Yang 001; Yibo Wang; Weihua Gui 001 (IEEE Trans. Instrum. Meas., 2023)

Clustered Federated Learning via Generalized Total Variation Minimization. - Yasmin Sarcheshmehpour; Yu Tian; Linli Zhang; Alexander Jung (IEEE Trans. Signal Process., 2023)

Research on a comprehensive detection method for arc high resistance grounding faults in distribution networks. - Xiangyu Wen; Shuai Li; Linli Zhang; Min Hang; Yang Liu; Hejin Liu; Guoqiang Su; Weichen Zhao; Shouyuan Wu (PEAI, 2024)

Explainable empirical risk minimization. - Linli Zhang; Georgios Karakasidis; Arina Odnoblyudova; Leyla Dogruel; Yu Tian; Alex Jung (Neural Comput. Appl., 2024)