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Tengfei Liu
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2020 – today
- 2023
- [j62]Pengpeng Zhang
, Tengfei Liu
, Zhong-Ping Jiang
:
Tracking Control of Unicycle Mobile Robots With Event-Triggered and Self-Triggered Feedback. IEEE Trans. Autom. Control. 68(4): 2261-2276 (2023) - [j61]Fuyu Zhao
, Weinan Gao
, Tengfei Liu
, Zhong-Ping Jiang
:
Event-Triggered Robust Adaptive Dynamic Programming With Output Feedback for Large-Scale Systems. IEEE Trans. Control. Netw. Syst. 10(1): 63-74 (2023) - [j60]Pengpeng Zhang
, Tengfei Liu, Jie Chen, Zhong-Ping Jiang:
Recent Developments in Event-Triggered Control of Nonlinear Systems: An Overview. Unmanned Syst. 11(1): 27-56 (2023) - [i6]Ruofan Wu, Jiawei Qiao, Mingzhe Wu, Wen Yu, Ming Zheng, Tengfei Liu, Tianyi Zhang, Weiqiang Wang:
Neural Frailty Machine: Beyond proportional hazard assumption in neural survival regressions. CoRR abs/2303.10358 (2023) - 2022
- [j59]Xiaoshuang Sheng
, Fan Wang
, Yifan Zhu, Tengfei Liu, Huan Chen:
Personalized Recommendation of Location-Based Services Using Spatio-Temporal-Aware Long and Short Term Neural Network. IEEE Access 10: 39864-39874 (2022) - [j58]Yutian Wang, Tengfei Liu, Zhong-Ping Jiang:
Systematic design of supervisory controllers for a class of uncertain nonlinearly parameterized systems. Autom. 135: 109991 (2022) - [j57]Tengfei Liu, Zhengyan Qin, Zhong-Ping Jiang:
A new look at distributed optimal output agreement of multi-agent systems. Autom. 136: 110053 (2022) - [j56]Zihao Xu, Tengfei Liu, Zhong-Ping Jiang:
Nonlinear integral control with event-triggered feedback: Unknown decay rates, zeno-freeness, and asymptotic convergence. Autom. 137: 110028 (2022) - [j55]Fuyu Zhao, Weinan Gao, Tengfei Liu, Zhong-Ping Jiang:
Adaptive optimal output regulation of linear discrete-time systems based on event-triggered output-feedback. Autom. 137: 110103 (2022) - [j54]Zhengyan Qin, Liangze Jiang, Tengfei Liu, Zhong-Ping Jiang:
Distributed optimization for uncertain Euler-Lagrange Systems with local and relative measurements. Autom. 139: 110113 (2022) - [j53]Zhengyan Qin, Tengfei Liu, Zhong-Ping Jiang:
Adaptive backstepping for distributed optimization. Autom. 141: 110304 (2022) - [j52]Si Wu, Tengfei Liu:
Safety Control of a Class of Fully Actuated Systems Subject to Uncertain Actuation Dynamics. J. Syst. Sci. Complex. 35(2): 543-558 (2022) - [j51]Si Wu
, Tengfei Liu
, Qinglin Niu, Zhong-Ping Jiang
:
Continuous Safety Control of Mobile Robots in Cluttered Environments. IEEE Robotics Autom. Lett. 7(3): 8012-8019 (2022) - [j50]Tengfei Liu
, Zhengyan Qin
, Yiguang Hong
, Zhong-Ping Jiang
:
Distributed Optimization of Nonlinear Multiagent Systems: A Small-Gain Approach. IEEE Trans. Autom. Control. 67(2): 676-691 (2022) - [c37]Yongli Hu, Wen Ding, Tengfei Liu, Junbin Gao, Yanfeng Sun, Baocai Yin:
Hierarchical Multiple Granularity Attention Network for Long Document Classification. IJCNN 2022: 1-7 - [i5]Si Wu, Tengfei Liu, Magnus Egerstedt, Zhong-Ping Jiang:
Quadratic Programming for Continuous Control of Safety-Critical Multi-Agent Systems Under Uncertainty. CoRR abs/2211.16720 (2022) - 2021
- [j49]Zhi-liang Zhao, Tianyou Chai, Cui Wei, Dongxu Liu, Tengfei Liu, Zhong-Ping Jiang:
Compensation-signal-driven control for a class of nonlinear uncertain systems. Autom. 125: 109423 (2021) - [j48]Tengfei Liu, Pengpeng Zhang, Mengxi Wang, Zhong-Ping Jiang:
New Results in Stabilization of Uncertain Nonholonomic Systems: An Event-Triggered Control Approach. J. Syst. Sci. Complex. 34(5): 1953-1972 (2021) - [j47]Pengpeng Zhang
, Tengfei Liu
, Zhong-Ping Jiang
:
Systematic Design of Robust Event-Triggered State and Output Feedback Controllers for Uncertain Nonholonomic Systems. IEEE Trans. Autom. Control. 66(1): 213-228 (2021) - [j46]Pengpeng Zhang
, Tengfei Liu
, Zhong-Ping Jiang
:
Event-Triggered Stabilization of a Class of Nonlinear Time-Delay Systems. IEEE Trans. Autom. Control. 66(1): 421-428 (2021) - [j45]Zhi-liang Zhao
, Zhong-Ping Jiang
, Tengfei Liu
, Tianyou Chai
:
Global Finite-Time Output-Feedback Stabilization of Nonlinear Systems Under Relaxed Conditions. IEEE Trans. Autom. Control. 66(9): 4259-4266 (2021) - [j44]Zhanxiu Wang
, Tengfei Liu
, Zhong-Ping Jiang
:
Cooperative Formation Control Under Switching Topology: An Experimental Case Study in Multirotors. IEEE Trans. Cybern. 51(12): 6141-6153 (2021) - [j43]Ji Zou, Chao Zhang, Zhongjing Ma, Lei Yu, Kaiwen Sun, Tengfei Liu:
Image Feature Analysis and Dynamic Measurement of Plantar Pressure Based on Fusion Feature Extraction. Traitement du Signal 38(6): 1829-1835 (2021) - [j42]Fuyu Zhao
, Weinan Gao
, Zhong-Ping Jiang
, Tengfei Liu
:
Event-Triggered Adaptive Optimal Control With Output Feedback: An Adaptive Dynamic Programming Approach. IEEE Trans. Neural Networks Learn. Syst. 32(11): 5208-5221 (2021) - [c36]Chuang Zhang, Qizhou Wang, Tengfei Liu, Xun Lu, Jin Hong, Bo Han, Chen Gong:
Fraud Detection under Multi-Sourced Extremely Noisy Annotations. CIKM 2021: 2497-2506 - [c35]Yongli Hu, Puman Chen, Tengfei Liu, Junbin Gao, Yanfeng Sun, Baocai Yin:
Hierarchical Attention Transformer Networks for Long Document Classification. IJCNN 2021: 1-7 - 2020
- [j41]Tengfei Liu, Jia Qi, Zhong-Ping Jiang:
Distributed containment control of multi-agent systems with velocity and acceleration saturations. Autom. 117: 108992 (2020) - [j40]Tengfei Liu, Zhong-Ping Jiang:
Distributed control of multi-agent systems with pulse-width-modulated controllers. Autom. 119: 109020 (2020) - [j39]Chao Luo, KeWei Song
, Toshio Tagawa
, Tengfei Liu:
Heat Transfer Enhancement in a Novel Annular Tube with Outer Straight and Inner Twisted Oval Tubes. Symmetry 12(8): 1213 (2020) - [c34]Shikun Li, Shiming Ge, Yingying Hua, Chunhui Zhang, Hao Wen, Tengfei Liu, Weiqiang Wang:
Coupled-View Deep Classifier Learning from Multiple Noisy Annotators. AAAI 2020: 4667-4674 - [c33]Tengfei Liu, Yongli Hu, Junbin Gao, Yanfeng Sun, Baocai Yin:
Zero-Shot Text Classification with Semantically Extended Graph Convolutional Network. ICPR 2020: 8352-8359 - [c32]Chuang Zhang, Chen Gong, Tengfei Liu, Xun Lu, Weiqiang Wang, Jian Yang:
Online Positive and Unlabeled Learning. IJCAI 2020: 2248-2254 - [c31]Yao Zhang, Yun Xiong, Yun Ye, Tengfei Liu, Weiqiang Wang, Yangyong Zhu, Philip S. Yu:
SEAL: Learning Heuristics for Community Detection with Generative Adversarial Networks. KDD 2020: 1103-1113
2010 – 2019
- 2019
- [j38]Tengfei Liu, Pengpeng Zhang, Zhong-Ping Jiang:
Event-triggered input-to-state stabilization of nonlinear systems subject to disturbances and dynamic uncertainties. Autom. 108 (2019) - [j37]Tengfei Liu
, Zhong-Ping Jiang
:
Event-Triggered Control of Nonlinear Systems With State Quantization. IEEE Trans. Autom. Control. 64(2): 797-803 (2019) - [j36]Adiya Bao
, Tengfei Liu
, Zhong-Ping Jiang
:
An IOS Small-Gain Theorem for Large-Scale Hybrid Systems. IEEE Trans. Autom. Control. 64(3): 1295-1300 (2019) - [c30]Tengfei Liu, Zhengyan Qin
, Yiguang Hong, Zhong-Ping Jiang:
Distributed Optimization of Nonlinear Multi-Agent Systems: A Small-Gain Approach. CDC 2019: 5252-5257 - [c29]Yutian Wang, Tengfei Liu, Zhong-Ping Jiang:
Robust Stabilization of Nonlinear Systems with Event-Triggered and Quantized Feedback: A Nonlinear Small-Gain Design. ICCA 2019: 67-72 - 2018
- [j35]Tengfei Liu
, Shuangyuan Yu, Baomin Xu, Hongfeng Yin:
Recurrent networks with attention and convolutional networks for sentence representation and classification. Appl. Intell. 48(10): 3797-3806 (2018) - [j34]Zhong-Ping Jiang, Tengfei Liu:
Small-gain theory for stability and control of dynamical networks: A Survey. Annu. Rev. Control. 46: 58-79 (2018) - [j33]Tengfei Liu, Bin Xin, Zhong-Ping Jiang:
Preface - Special Issue on New Directions in Nonlinear and Distributed Control. J. Syst. Sci. Complex. 31(1): 1-3 (2018) - [j32]Adiya Bao, Tengfei Liu, Zhong-Ping Jiang, Lina Zhang:
A Nonlinear Small-Gain Theorem for Large-Scale Infinite-Dimensional Systems. J. Syst. Sci. Complex. 31(1): 188-199 (2018) - [j31]Zhiwei Wu, Tengfei Liu
, Zhong-Ping Jiang
, Tianyou Chai, Lina Zhang:
Nonlinear Control Tools for Fused Magnesium Furnaces: Design and Implementation. IEEE Trans. Ind. Electron. 65(9): 7248-7257 (2018) - [c28]Mengxi Wang, Pengpeng Zhang, Tengfei Liu, Zhong-Ping Jiang:
A Rule-Based Mechanism for Event-Triggered Robust Control of Nonlinear Systems. ICCA 2018: 429-434 - [c27]Yutian Wang, Tengfei Liu, Zhong-Ping Jiang:
Event-Triggered Control of Nonlinear Systems with Quantization Events. ICCA 2018: 441-446 - [c26]Zhanxiu Wang, Tengfei Liu, Zhong-Ping Jiang:
Distributed Formation Control of Multirotors with Switching Topologies. ICIA 2018: 167-172 - 2017
- [j30]Peixian Chen, Nevin L. Zhang, Tengfei Liu, Leonard K. M. Poon
, Zhourong Chen, Farhan Khawar:
Latent tree models for hierarchical topic detection. Artif. Intell. 250: 105-124 (2017) - [j29]Pengpeng Zhang, Tengfei Liu, Zhong-Ping Jiang:
Input-to-state stabilization of nonlinear discrete-time systems with event-triggered controllers. Syst. Control. Lett. 103: 16-22 (2017) - [c25]Adiya Bao, Tengfei Liu, Zhong-Ping Jiang:
An IOS small-gain theorem for large-scale hybrid systems. CDC 2017: 3646-3651 - [c24]Pengpeng Zhang, Tengfei Liu, Zhong-Ping Jiang:
Robust event-triggered control of nonlinear systems with partial state feedback. CDC 2017: 6076-6081 - [c23]Zhong-Ping Jiang, Tengfei Liu, Pengpeng Zhang:
Event-triggered control of nonlinear systems: A small-gain paradigm. ICCA 2017: 242-247 - [c22]Tengfei Liu, Jianyong Yao, Xiangxin Liu, Lan Li:
Disturbance rejection control for single-rod electro-hydraulic servo system based on dual-extended-state-observer. IECON 2017: 3032-3037 - 2016
- [j28]Tengfei Liu, Zhong-Ping Jiang, Jie Huang:
Editor's Note. Sci. China Inf. Sci. 59(1): 1 (2016) - [j27]Tengfei Liu, Xuesong Lu, Zhong-Ping Jiang:
A junction-by-junction feedback-based strategy with convergence analysis for dynamic traffic assignment. Sci. China Inf. Sci. 59(1): 1-17 (2016) - [j26]Tengfei Liu, Zhong-Ping Jiang:
Further results on quantized stabilization of nonlinear cascaded systems with dynamic uncertainties. Sci. China Inf. Sci. 59(7): 072202:1-072202:12 (2016) - [j25]Tengfei Liu, Zhong-Ping Jiang:
Distributed Nonlinear Control of Multi-Agent Systems with Switching Topologies. Unmanned Syst. 4(1): 75-81 (2016) - [c21]Tengfei Liu, Xianghua Ding
, Peng Liu, Tun Lu, Ning Gu:
ArchiExpression: A Physical Eco-Feedback Display in an Outdoor Campus Space of China. CCHI 2016: 5:1-5:10 - [c20]Chunxin Huang, Lei Zhang, Tengfei Liu, Huaxi Yulin Zhang:
A control middleware for cloud robotics. ICIA 2016: 1907-1912 - [i4]Peixian Chen, Nevin L. Zhang, Tengfei Liu, Leonard K. M. Poon, Zhourong Chen:
Latent Tree Models for Hierarchical Topic Detection. CoRR abs/1605.06650 (2016) - 2015
- [j24]Tengfei Liu, Zhong-Ping Jiang:
Event-based control of nonlinear systems with partial state and output feedback. Autom. 53: 10-22 (2015) - [j23]Zhong-Ping Jiang, Tengfei Liu:
A survey of recent results in quantized and event-based nonlinear control. Int. J. Autom. Comput. 12(5): 455-466 (2015) - [j22]Tengfei Liu, Nevin Lianwen Zhang
, Peixian Chen
, April Hua Liu, Leonard K. M. Poon
, Yi Wang
:
Greedy learning of latent tree models for multidimensional clustering. Mach. Learn. 98(1-2): 301-330 (2015) - [j21]Tengfei Liu, Zhong-Ping Jiang:
A Small-Gain Approach to Robust Event-Triggered Control of Nonlinear Systems. IEEE Trans. Autom. Control. 60(8): 2072-2085 (2015) - [c19]Tengfei Liu, Zhong-Ping Jiang:
Quantized event-based control of nonlinear systems. CDC 2015: 4806-4811 - [c18]Tengfei Liu, Xianghua Ding
, Ning Gu:
A Generic Energy Disaggregation Approach: What and When Electrical Appliances are Used. ICDM Workshops 2015: 389-397 - [c17]Tengfei Liu, Zhong-Ping Jiang:
Event-based nonlinear control: From centralized to decentralized systems. ICIA 2015: 690-695 - [c16]Zhong-Ping Jiang, Tengfei Liu:
Distributed control of autonomous multi-agents: A small-gain approach. RoMoCo 2015: 103-117 - 2014
- [j20]Tengfei Liu, Zhong-Ping Jiang:
Distributed nonlinear control of mobile autonomous multi-agents. Autom. 50(4): 1075-1086 (2014) - [j19]April H. Liu, Leonard K. M. Poon
, Tengfei Liu, Nevin Lianwen Zhang
:
Latent tree models for rounding in spectral clustering. Neurocomputing 144: 448-462 (2014) - [j18]Tengfei Liu, Xianchao Pan, Li Chao, Wen Tan, Sujun Qu, Li Yang, Bochu Wang, Hu Mei:
Subangstrom Accuracy in pHLA-I Modeling by Rosetta FlexPepDock Refinement Protocol. J. Chem. Inf. Model. 54(8): 2233-2242 (2014) - [j17]Binhe Wen, Cong Wang, Tengfei Liu:
Deterministic learning and neural control of a class of nonlinear systems toward improved performance. Neural Comput. Appl. 24(3-4): 637-648 (2014) - [c15]Tengfei Liu, Zhong-Ping Jiang, Tianyou Chai:
Distributed nonlinear control of multi-agent systems with switching topologies. ICIA 2014: 176-181 - [c14]Tengfei Liu, Nevin Lianwen Zhang
, Peixian Chen
:
Hierarchical Latent Tree Analysis for Topic Detection. ECML/PKDD (2) 2014: 256-272 - [i3]Raphaël Mourad, Christine Sinoquet, Nevin Lianwen Zhang, Tengfei Liu, Philippe Leray:
A Survey on Latent Tree Models and Applications. CoRR abs/1402.0577 (2014) - [i2]Nevin Lianwen Zhang, Chen Fu, Tengfei Liu, Kin Man Poon, Peixian Chen, Bao Xin Chen, Yun Ling Zhang:
An Evidence-Based Approach to Patient Classification in Traditional Chinese Medicine based on Latent Tree Analysis. CoRR abs/1410.7140 (2014) - 2013
- [j16]Tengfei Liu, Zhong-Ping Jiang:
Distributed formation control of nonholonomic mobile robots without global position measurements. Autom. 49(2): 592-600 (2013) - [j15]Leonard K. M. Poon
, Nevin Lianwen Zhang
, Tengfei Liu, April H. Liu:
Model-based clustering of high-dimensional data: Variable selection versus facet determination. Int. J. Approx. Reason. 54(1): 196-215 (2013) - [j14]Raphaël Mourad, Christine Sinoquet, Nevin Lianwen Zhang
, Tengfei Liu, Philippe Leray:
A Survey on Latent Tree Models and Applications. J. Artif. Intell. Res. 47: 157-203 (2013) - [j13]Wen Tan, Hu Mei, Li Chao, Tengfei Liu, Xianchao Pan, Mao Shu, Li Yang:
Combined QSAR and molecule docking studies on predicting P-glycoprotein inhibitors. J. Comput. Aided Mol. Des. 27(12): 1067-1073 (2013) - [j12]Tengfei Liu, Zhong-Ping Jiang:
Distributed Output-Feedback Control of Nonlinear Multi-Agent Systems. IEEE Trans. Autom. Control. 58(11): 2912-2917 (2013) - [c13]Tengfei Liu, Zhong-Ping Jiang:
A nonlinear small-gain approach to distributed formation control of nonholonomic mobile robots. ACC 2013: 3051-3056 - [c12]Tengfei Liu, Zhong-Ping Jiang, Wuping Xin, William R. McShane:
Robust stability of a dynamic traffic assignment model with uncertainties. ACC 2013: 4056-4061 - [c11]Tengfei Liu, Xianghua Ding
, Silvia Lindtner, Tun Lu, Ning Gu:
The collective infrastructural work of electricity: exploring feedback in a prepaid university dorm in China. UbiComp 2013: 295-304 - 2012
- [j11]Tao Chen, Nevin Lianwen Zhang
, Tengfei Liu, Kin Man Poon
, Yi Wang
:
Model-based multidimensional clustering of categorical data. Artif. Intell. 176(1): 2246-2269 (2012) - [j10]Tengfei Liu, Zhong-Ping Jiang, David J. Hill
:
A sector bound approach to feedback control of nonlinear systems with state quantization. Autom. 48(1): 145-152 (2012) - [j9]Tengfei Liu, Zhong-Ping Jiang, David J. Hill
:
Decentralized output-feedback control of large-scale nonlinear systems with sensor noise. Autom. 48(10): 2560-2568 (2012) - [j8]Tengfei Liu, Zhong-Ping Jiang, David J. Hill
:
Quantized stabilization of strict-feedback nonlinear systems based on ISS cyclic-small-gain theorem. Math. Control. Signals Syst. 24(1-2): 75-110 (2012) - [j7]Tengfei Liu, David J. Hill
, Zhong-Ping Jiang:
Lyapunov formulation of the large-scale, ISS cyclic-small-gain theorem: The discrete-time case. Syst. Control. Lett. 61(1): 266-272 (2012) - [j6]Tengfei Liu, Zhong-Ping Jiang, David J. Hill
:
Small-Gain Based Output-Feedback Controller Design for a Class of Nonlinear Systems With Actuator Dynamic Quantization. IEEE Trans. Autom. Control. 57(5): 1326-1332 (2012) - [j5]Cong Wang, Min Wang, Tengfei Liu, David J. Hill
:
Learning From ISS-Modular Adaptive NN Control of Nonlinear Strict-Feedback Systems. IEEE Trans. Neural Networks Learn. Syst. 23(10): 1539-1550 (2012) - [c10]Tengfei Liu, Zhong-Ping Jiang:
A cyclic-small-gain approach to distributed output-feedback control of multi-agent nonlinear systems. SAM 2012: 381-384 - [c9]Leonard K. M. Poon, April H. Liu, Tengfei Liu, Nevin Lianwen Zhang:
A Model-Based Approach to Rounding in Spectral Clustering. UAI 2012: 685-694 - [i1]Leonard K. M. Poon, April H. Liu, Tengfei Liu, Nevin Lianwen Zhang:
A Model-Based Approach to Rounding in Spectral Clustering. CoRR abs/1210.4883 (2012) - 2011
- [j4]Tengfei Liu, David J. Hill
, Zhong-Ping Jiang:
Lyapunov formulation of ISS cyclic-small-gain in continuous-time dynamical networks. Autom. 47(9): 2088-2093 (2011) - [j3]Tengfei Liu, David J. Hill
, Cong Wang:
Dissipativity-Based Switching Adaptive Control. IEEE Trans. Autom. Control. 56(3): 660-665 (2011) - [c8]Tengfei Liu, Zhong-Ping Jiang, David J. Hill
:
Robust control of nonlinear strict-feedback systems with measurement errors. CDC/ECC 2011: 2034-2039 - [c7]Tengfei Liu, Nevin Lianwen Zhang, Kin Man Poon, Yi Wang, Hua Liu:
Fast Multidimensional Clustering of Categorical Data. MultiClust@ECML/PKDD 2011: 19-30
2000 – 2009
- 2009
- [j2]Tengfei Liu, Cong Wang, David J. Hill
:
Learning from neural control of nonlinear systems in normal form. Syst. Control. Lett. 58(9): 633-638 (2009) - [c6]Tengfei Liu, David J. Hill
, Zhong-Ping Jiang:
Lyapunov formulation of ISS small-gain in dynamical networks. CDC 2009: 4204-4209 - [c5]Tengfei Liu, David J. Hill
, Cong Wang:
Dissipativity-based switching adaptive control. CDC 2009: 6638-6643 - 2008
- [c4]Tengfei Liu, Cong Wang, David J. Hill
:
Deterministic Learning and Rapid Dynamical Pattern Recognition of Discrete-Time Systems. ISIC 2008: 1091-1096 - 2007
- [c3]Cong Wang, Tengfei Liu, Chenghong Wang:
Deterministic Learning and Pattern-Based NN Control. ISIC 2007: 144-149 - [c2]Zhengui Xue, Cong Wang, Tengfei Liu:
Deterministic learning and robot manipulator control. ROBIO 2007: 1989-1994 - [c1]Tengfei Liu, Cong Wang:
Learning from neural control in motor systems. ROBIO 2007: 1995-2000 - 2006
- [j1]Tengfei Liu, Cong Wang:
Adaptive neural control of a permanent magnet synchronous motor. Int. J. Model. Identif. Control. 1(3): 191-199 (2006)
Coauthor Index
aka: Nevin L. Zhang

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