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Tian Shi
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2020 – today
- 2024
- [j19]Yongping Pan, Tian Shi:
Adaptive Estimation and Control With Online Data Memory: A Historical Perspective. IEEE Control. Syst. Lett. 8: 267-278 (2024) - [j18]Yongping Pan, Zhiwen Li, Tian Shi, Changyun Wen:
Composite Learning Variable Impedance Robot Control With Stability and Passivity Guarantees. IEEE Robotics Autom. Lett. 9(1): 119-126 (2024) - [j17]Long Li, Daoqin Zhou, Kai Liu, Tian Shi, Chou Xie, Shudong Wang, Hang Li, Guannan Dong, Xueke Li:
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. 17: 3821-3835 (2024) - [j16]Yongping Pan, Tian Shi, Romeo Ortega:
Comparative Analysis of Parameter Convergence for Several Least-Squares Estimation Schemes. IEEE Trans. Autom. Control. 69(5): 3341-3348 (2024) - [j15]Kezan Li, Tian Shi, Xiang Li:
Synchronization of Topological Signals on Simplicial Complexes With Higher-Dimensional Simplices. IEEE Trans. Netw. Sci. Eng. 11(1): 1124-1135 (2024) - [c16]Kai Hu, Qian Wang, Tian Shi, Kohei Nakajima, Yongping Pan:
Memory Regressor Extended Echo State Networks for Nonlinear Dynamics Modeling. ECC 2024: 1334-1339 - [c15]Tian Shi, Weibing Li, Haoyong Yu, Yongping Pan:
Efficient Composite Learning Robot Control Under Partial Interval Excitation. ICRA 2024: 21-26 - [i10]Tian Shi, Changyun Wen, Yongping Pan:
Composite learning backstepping control with guaranteed exponential stability and robustness. CoRR abs/2401.10785 (2024) - 2023
- [j14]Zhongbo Sun, Xin Zhang, Keping Liu, Tian Shi, Jing Wang:
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. 55(3): 2867-2884 (2023) - [c14]Wenlong Zhang, Kangping Zeng, Xinming Yang, Tian Shi, Ping Wang:
Text-to-ESQ: A Two-Stage Controllable Approach for Efficient Retrieval of Vaccine Adverse Events from NoSQL Database. BCB 2023: 54:1-54:10 - [c13]Yongping Pan, Tian Shi, Changyun Wen:
Least-Squares Composite Learning Backstepping Control with High-Order Tuners. CDC 2023: 515-520 - [c12]Yuejiang Zhu, Tian Shi, Weibing Li, Yongping Pan:
Acceleration-Free Recursive Composite Learning Control of High-DoF Robot Manipulators. CDC 2023: 4739-4744 - [c11]Wenlong Zhang, Bhagyashree Ingale, Hamza Shabir, Tianyi Li, Tian Shi, Ping Wang:
Event Detection Explorer: An Interactive Tool for Event Detection Exploration. IUI Companion 2023: 171-174 - 2022
- [j13]Tian Shi, Xuchao Zhang, Ping Wang, Chandan K. Reddy:
Corpus-level and Concept-based Explanations for Interpretable Document Classification. ACM Trans. Knowl. Discov. Data 16(3): 48:1-48:17 (2022) - [c10]Ping Wang, Tian Shi, Khushbu Agarwal, Sutanay Choudhury, Chandan K. Reddy:
Attention-based aspect reasoning for knowledge base question answering on clinical notes. BCB 2022: 10:1-10:6 - [c9]Xiaoxin Feng, Tian Shi, Weibing Li, Peng Lu, Yongping Pan:
Reinforcement Learning-Based Impedance Learning for Robot Admittance Control in Industrial Assembly. ICARM 2022: 1092-1097 - [i9]Wenlong Zhang, Bhagyashree Ingale, Hamza Shabir, Tianyi Li, Tian Shi, Ping Wang:
Event Detection Explorer: An Interactive Tool for Event Detection Exploration. CoRR abs/2204.12456 (2022) - 2021
- [b1]Tian Shi:
Novel Algorithms for Understanding Online Reviews. Virginia Tech, Blacksburg, VA, USA, 2021 - [j12]Yuanyuan Chai, Keping Liu, Chunxu Li, Zhongbo Sun, Long Jin, Tian Shi:
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. 67: 102416 (2021) - [j11]Tian Shi, Yantao Tian, Zhongbo Sun, Keping Liu, Long Jin, Junzhi Yu:
Noise-tolerant neural algorithm for online solving Yang-Baxter-type matrix equation in the presence of noises: A control-based method. Neurocomputing 424: 84-96 (2021) - [j10]Zhongbo Sun, Tian Shi, Long Jin, Bangcheng Zhang, Zaixiang Pang, Junzhi Yu:
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. 358(14): 7203-7220 (2021) - [j9]Tian Shi, Yaser Keneshloo, Naren Ramakrishnan, Chandan K. Reddy:
Neural Abstractive Text Summarization with Sequence-to-Sequence Models. Trans. Data Sci. 2(1): 1:1-1:37 (2021) - [j8]Ping Wang, Tian Shi, Chandan K. Reddy:
A Novel Tensor-Based Temporal Multi-Task Survival Analysis Model. IEEE Trans. Knowl. Data Eng. 33(9): 3311-3322 (2021) - [c8]Tian Shi, Liuqing Li, Ping Wang, Chandan K. Reddy:
A Simple and Effective Self-Supervised Contrastive Learning Framework for Aspect Detection. AAAI 2021: 13815-13824 - [c7]Tian Shi, Longshi Wu, Changhong Zhong, Ruixuan Wang, Hongmei Liu:
Iterative Ensemble Transductive Learning for Microscopy Image Analysis. CSCI 2021: 1246-1249 - [i8]Ping Wang, Tian Shi, Khushbu Agarwal, Sutanay Choudhury, Chandan K. Reddy:
Attention-based Aspect Reasoning for Knowledge Base Question Answering on Clinical Notes. CoRR abs/2108.00513 (2021) - 2020
- [j7]Fei Mei, Jiaqi Gu, Jixiang Lu, Jinjun Lu, Jiatang Zhang, Yuhan Jiang, Tian Shi, Jianyong Zheng:
Day-Ahead Nonparametric Probabilistic Forecasting of Photovoltaic Power Generation Based on the LSTM-QRA Ensemble Model. IEEE Access 8: 166138-166149 (2020) - [j6]Tian Shi, Yantao Tian, Zhongbo Sun, Bangcheng Zhang, Zaixiang Pang, Junzhi Yu, Xin Zhang:
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 14: 559048 (2020) - [j5]Zhongbo Sun, Feng Li, Long Jin, Tian Shi, Keping Liu:
Noise-tolerant neural algorithm for online solving time-varying full-rank matrix Moore-Penrose inverse problems: A control-theoretic approach. Neurocomputing 413: 158-172 (2020) - [j4]Zhongbo Sun, Tian Shi, Lin Wei, Yingyi Sun, Keping Liu, Long Jin:
Noise-suppressing zeroing neural network for online solving time-varying nonlinear optimization problem: a control-based approach. Neural Comput. Appl. 32(15): 11505-11520 (2020) - [j3]Yaser Keneshloo, Tian Shi, Naren Ramakrishnan, Chandan K. Reddy:
Deep Reinforcement Learning for Sequence-to-Sequence Models. IEEE Trans. Neural Networks Learn. Syst. 31(7): 2469-2489 (2020) - [c6]Ping Wang, Tian Shi, Chandan K. Reddy:
Text-to-SQL Generation for Question Answering on Electronic Medical Records. WWW 2020: 350-361 - [i7]Tian Shi, Xuchao Zhang, Ping Wang, Chandan K. Reddy:
A Concept-based Abstraction-Aggregation Deep Neural Network for Interpretable Document Classification. CoRR abs/2004.13003 (2020) - [i6]Tian Shi, Liuqing Li, Ping Wang, Chandan K. Reddy:
A Simple and Effective Self-Supervised Contrastive Learning Framework for Aspect Detection. CoRR abs/2009.09107 (2020) - [i5]Tian Shi, Ping Wang, Chandan K. Reddy:
Deliberate Self-Attention Network with Uncertainty Estimation for Multi-Aspect Review Rating Prediction. CoRR abs/2009.09112 (2020)
2010 – 2019
- 2019
- [j2]Yi Pan, Fei Mei, Cheng Zhou, Tian Shi, Jianyong Zheng:
Analysis on Integrated Energy System Cascading Failures Considering Interaction of Coupled Heating and Power Networks. IEEE Access 7: 89752-89765 (2019) - [c5]Tian Shi, Vineeth Rakesh, Suhang Wang, Chandan K. Reddy:
Document-Level Multi-Aspect Sentiment Classification for Online Reviews of Medical Experts. CIKM 2019: 2723-2731 - [c4]Zhuocheng Zhou, Bofeng Zhang, Ying Lv, Tian Shi, Furong Chang:
Data Augment in Imbalanced Learning Based on Generative Adversarial Networks. ICONIP (4) 2019: 21-30 - [c3]Tian Shi, Bofeng Zhang, Ying Lv, Zhuocheng Zhou, Furong Chang:
Interactive Semantic Features Selection from Reviews for Recommendation. ICONIP (5) 2019: 541-549 - [c2]Tian Shi, Ping Wang, Chandan K. Reddy:
LeafNATS: An Open-Source Toolkit and Live Demo System for Neural Abstractive Text Summarization. NAACL-HLT (Demonstrations) 2019: 66-71 - [i4]Tian Shi, Ping Wang, Chandan K. Reddy:
LeafNATS: An Open-Source Toolkit and Live Demo System for Neural Abstractive Text Summarization. CoRR abs/1906.01512 (2019) - [i3]Ping Wang, Tian Shi, Chandan K. Reddy:
A Translate-Edit Model for Natural Language Question to SQL Query Generation on Multi-relational Healthcare Data. CoRR abs/1908.01839 (2019) - 2018
- [c1]Tian Shi, Kyeongpil Kang, Jaegul Choo, Chandan K. Reddy:
Short-Text Topic Modeling via Non-negative Matrix Factorization Enriched with Local Word-Context Correlations. WWW 2018: 1105-1114 - [i2]Yaser Keneshloo, Tian Shi, Naren Ramakrishnan, Chandan K. Reddy:
Deep Reinforcement Learning For Sequence to Sequence Models. CoRR abs/1805.09461 (2018) - [i1]Tian Shi, Yaser Keneshloo, Naren Ramakrishnan, Chandan K. Reddy:
Neural Abstractive Text Summarization with Sequence-to-Sequence Models. CoRR abs/1812.02303 (2018) - 2010
- [j1]Tian Shi, Songnian He:
Modified hybrid algorithms for Lipschitz quasi-pseudo-contractive mappings in Hilbert spaces. Comput. Math. Appl. 59(8): 2940-2950 (2010)
Coauthor Index
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last updated on 2024-09-10 01:17 CEST by the dblp team
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