Adaptive Neural Command Filtered Tracking Control for Flexible Robotic Manipulator With Input Dead-Zone. - Huanqing Wang 001; Shijia Kang (IEEE Access, 2019)

Finite-Time Adaptive Fuzzy Command Filtered Backstepping Control for a Class of Nonlinear Systems. - Huanqing Wang 001; Shijia Kang; Zhiguang Feng (Int. J. Fuzzy Syst., 2019)

Research on IETM Data Publishing. - Cuifang Zheng; Jiaju Wu 002; Zheng Cheng; Linggang Kong; Shijia Kang; Bin Luo (AIIPCC, 2022)

Finite-time command filter-based adaptive fuzzy tracking control for stochastic nonlinear induction motors systems with unknown backlash-like hysteresis. - Shijia Kang; Peter Xiaoping Liu; Huanqing Wang 001 (J. Frankl. Inst., 2022)

Command Filter-Based Adaptive Neural Control Design for Nonstrict-Feedback Nonlinear Systems With Multiple Actuator Constraints. - Huanqing Wang 001; Shijia Kang; Xudong Zhao 001; Ning Xu 013; Tieshan Li (IEEE Trans. Cybern., 2022)

Finite-time command filter-based adaptive fuzzy output-feedback control for MIMO nonlinear systems with multiple actuator constraints. - Shijia Kang; Peter Xiaoping Liu; Huanqing Wang 001 (Int. J. Syst. Sci., 2023)

Adaptive Fuzzy Finite-Time Command Filtering Control for Flexible-Joint Robot Systems Against Multiple Actuator Constraints. - Shijia Kang; Peter Xiaoping Liu; Huanqing Wang 001 (IEEE Trans. Circuits Syst. II Express Briefs, 2023)

Aircraft Engine Fault Diagnosis Model Based on 1DCNN-BiLSTM with CBAM. - Jiaju Wu 002; Linggang Kong; Shijia Kang; Hongfu Zuo; Yonghui Yang; Zheng Cheng (Sensors, 2024)

Decentralised adaptive neural finite-time prescribed performance control for nonlinear large-scale systems based on command filtering. - Shijia Kang; Peter Xiaoping Liu; Huanqing Wang 001 (Int. J. Syst. Sci., 2024)

Finite-Time Prescribed Performance-Based Adaptive Fuzzy Command Filtering Control for Permanent Magnet Synchronous Motors with Actuator Faults. - Shijia Kang; Peter Xiaoping Liu; Huanqing Wang 001 (Int. J. Fuzzy Syst., 2024)

On the Completeness of Invariant Geometric Deep Learning Models. - Zian Li; Xiyuan Wang; Shijia Kang; Muhan Zhang (ICLR, 2025)

Number Cookbook: Number Understanding of Language Models and How to Improve It. - Haotong Yang; Yi Hu; Shijia Kang; Zhouchen Lin; Muhan Zhang (ICLR, 2025)

Remaining useful life prediction methods of equipment components based on deep learning for sustainable manufacturing: a literature review. - Yao Pan; Shijia Kang; Linggang Kong; Jiaju Wu 002; Yonghui Yang; Hongfu Zuo (Artif. Intell. Eng. Des. Anal. Manuf., 2025)

RedStar: Does Scaling Long-CoT Data Unlock Better Slow-Reasoning Systems? - Haotian Xu; Xing Wu; Weinong Wang; Zhongzhi Li; Da Zheng; Boyuan Chen 008; Yi Hu; Shijia Kang; Jiaming Ji; Yingying Zhang; Zhijiang Guo; Yaodong Yang 001; et al. (CoRR, 2025)

Training Large Language Models to be Better Rule Followers. - Yi Hu; Shijia Kang; Haotong Yang; Haotian Xu; Muhan Zhang (CoRR, 2025)