Tian Shi
Orcid: 0000-0002-7604-5665
According to our database1,
Tian Shi
authored at least 35 papers
between 2010 and 2024.
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Bibliography
2024
Composite Learning Variable Impedance Robot Control With Stability and Passivity Guarantees.
IEEE Robotics Autom. Lett., January, 2024
Synchronization of Topological Signals on Simplicial Complexes With Higher-Dimensional Simplices.
IEEE Trans. Netw. Sci. Eng., 2024
Optimizing Rice Field Mapping in the Northern Region of China: An Asynchronous Flooding Signal and Object-Based Method.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024
IEEE Control. Syst. Lett., 2024
Composite learning backstepping control with guaranteed exponential stability and robustness.
CoRR, 2024
2023
A Multi-Joint Continuous Motion Estimation Method of Lower Limb Using Least Squares Support Vector Machine and Zeroing Neural Network based on sEMG signals.
Neural Process. Lett., June, 2023
Proceedings of the Companion Proceedings of the 28th International Conference on Intelligent User Interfaces, 2023
Acceleration-Free Recursive Composite Learning Control of High-DoF Robot Manipulators.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023
Text-to-ESQ: A Two-Stage Controllable Approach for Efficient Retrieval of Vaccine Adverse Events from NoSQL Database.
Proceedings of the 14th ACM International Conference on Bioinformatics, 2023
2022
Corpus-level and Concept-based Explanations for Interpretable Document Classification.
ACM Trans. Knowl. Discov. Data, 2022
Reinforcement Learning-Based Impedance Learning for Robot Admittance Control in Industrial Assembly.
Proceedings of the International Conference on Advanced Robotics and Mechatronics , 2022
Attention-based aspect reasoning for knowledge base question answering on clinical notes.
Proceedings of the BCB '22: 13th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics, Northbrook, Illinois, USA, August 7, 2022
2021
IEEE Trans. Knowl. Data Eng., 2021
Trans. Data Sci., 2021
Discrete-time zeroing neural network of O(τ4) pattern for online solving time-varying nonlinear optimization problem: Application to manipulator motion generation.
J. Frankl. Inst., 2021
Noise-tolerant neural algorithm for online solving Yang-Baxter-type matrix equation in the presence of noises: A control-based method.
Neurocomputing, 2021
A novel method based on long short term memory network and discrete-time zeroing neural algorithm for upper-limb continuous estimation using sEMG signals.
Biomed. Signal Process. Control., 2021
A Simple and Effective Self-Supervised Contrastive Learning Framework for Aspect Detection.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
IEEE Trans. Neural Networks Learn. Syst., 2020
Noise-suppressing zeroing neural network for online solving time-varying nonlinear optimization problem: a control-based approach.
Neural Comput. Appl., 2020
Noise-tolerant neural algorithm for online solving time-varying full-rank matrix Moore-Penrose inverse problems: A control-theoretic approach.
Neurocomputing, 2020
A New Projected Active Set Conjugate Gradient Approach for Taylor-Type Model Predictive Control: Application to Lower Limb Rehabilitation Robots With Passive and Active Rehabilitation.
Frontiers Neurorobotics, 2020
Deliberate Self-Attention Network with Uncertainty Estimation for Multi-Aspect Review Rating Prediction.
CoRR, 2020
A Concept-based Abstraction-Aggregation Deep Neural Network for Interpretable Document Classification.
CoRR, 2020
Day-Ahead Nonparametric Probabilistic Forecasting of Photovoltaic Power Generation Based on the LSTM-QRA Ensemble Model.
IEEE Access, 2020
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020
2019
A Translate-Edit Model for Natural Language Question to SQL Query Generation on Multi-relational Healthcare Data.
CoRR, 2019
Analysis on Integrated Energy System Cascading Failures Considering Interaction of Coupled Heating and Power Networks.
IEEE Access, 2019
LeafNATS: An Open-Source Toolkit and Live Demo System for Neural Abstractive Text Summarization.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019
Proceedings of the Neural Information Processing - 26th International Conference, 2019
Proceedings of the Neural Information Processing - 26th International Conference, 2019
Document-Level Multi-Aspect Sentiment Classification for Online Reviews of Medical Experts.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019
2018
Short-Text Topic Modeling via Non-negative Matrix Factorization Enriched with Local Word-Context Correlations.
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018
2010
Modified hybrid algorithms for Lipschitz quasi-pseudo-contractive mappings in Hilbert spaces.
Comput. Math. Appl., 2010