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• Liu Tengfei

• 2026
• 
  [j96]
  Si Wu,Tengfei Liu,Weidong Zhang,Jinliang Ding,Zhong-Ping Jiang,Tianyou Chai:
  Continuous Safety-Critical Control of Mobile Robots With Set-Valued Feedback in Body-Fixed Coordinate Frame.IEEE Trans. Autom. Control.71(2):1405-1412 (2026)
• 2025
• 
  [j95]
  Yifei Sun,Tengfei Liu,Xuejun Zong,Kan He,Lian Lian,Feng Jiang:
  Research on EMI Noise Suppression of Zeta Converter Based on Chaotic Spread Spectrum.IEEE Access13:29633-29642 (2025)
• 
  [j94]
  Zhi Liu,Si Wu,Tengfei Liu,Zhong-Ping Jiang:
  Continuous safety-critical control of Euler-Lagrange systems subject to multiple obstacles and velocity constraints.Autom.180:112404 (2025)
• 
  [j93]
  Tengfei Liu,Yuanyuan Guo,Shuanhu Liu,Peng Dong,Jianmin Chen:
  How Does User Experience Affect User Stickiness: A Study of Governmental Chatbots Across Different Knowledge-Based User Groups.Int. J. Electron. Gov. Res.21(1):1-23 (2025)
• 
  [j92]
  Peng Wu,Heng Su,Hao Dong,Tengfei Liu,Min Li,Zhihao Chen:
  An obstacle avoidance method for robotic arm based on reinforcement learning.Ind. Robot52(1):9-17 (2025)
• 
  [j91]
  Tong Liu,Tengfei Liu,Zhong-Ping Jiang:
  Feedback Optimization of Nonlinear Strict-Feedback Systems.J. Syst. Sci. Complex.38(2):717-738 (2025)
• 
  [j90]
  Xi-Rui Zhang,Zhi-Liang Zhao,Tengfei Liu:
  Finite-Time Consensus for High-Order Multiagent Systems Under Directed Communication Topologies.IEEE Trans. Autom. Control.70(12):8430-8437 (2025)
• 
  [j89]
  Tengfei Liu,Yongli Hu,Mingjie Li,Junfei Yi,Xiaojun Chang,Junbin Gao,Baocai Yin:
  Tackling Real-World Complexity: Hierarchical Modeling and Dynamic Prompting for Multimodal Long Document Classification.IEEE Trans. Circuits Syst. Video Technol.35(6):5776-5790 (2025)
• 
  [j88]
  Yu Yang,Shuai Sui,Tengfei Liu,C. L. Philip Chen:
  Adaptive Predefined Time Control for Stochastic Switched Nonlinear Systems With Full-State Error Constraints and Input Quantization.IEEE Trans. Cybern.55(5):2261-2272 (2025)
• 
  [j87]
  Qi Zhao,Tengfei Liu,Bai Yan,Qiqi Duan,Jian Yang,Yuhui Shi:
  Automated Metaheuristic Algorithm Design With Autoregressive Learning.IEEE Trans. Evol. Comput.29(5):2004-2018 (2025)
• 
  [j86]
  Lin Zhao,Shuai Sui,Tengfei Liu,Chun-Lung Philip Chen:
  Command Filter-Based Predefined-Time Adaptive Fuzzy Control for High-Order Nonlinear Interconnected Systems With Input Quantization.IEEE Trans. Fuzzy Syst.33(4):1298-1310 (2025)
• 
  [j85]
  Junfei Yi,Jianxu Mao,Hui Zhang,Yurong Chen,Tengfei Liu,Kai Zeng,He Xie,Yaonan Wang:
  Balancing Accuracy and Efficiency With a Multiscale Uncertainty-Aware Knowledge-Based Network for Transmission Line Inspection.IEEE Trans. Ind. Informatics21(4):2829-2838 (2025)
• 
  [j84]
  Junfei Yi,Tengfei Liu,Jianxu Mao,Yaonan Wang,Hui Zhang,He Xie,Hang Zhong,Xiaojun Chang:
  Toward Efficient Power Scene Detection via Topology-Preserved Knowledge Distillation.IEEE Trans. Ind. Informatics21(11):8812-8823 (2025)
• 
  [j83]
  Weijun Zhou,Jian Li,Liyu Zhou,Yuning Yi,Kai Li,Chen Li,Tengfei Liu,Xiaoqian Liang,Xiaohui Zhu,Qi Zhou,Jianxia Chen,Jintao Zhai,Qin Fu,Xianwei Huang,Yanfeng Bai,Xiquan Fu:
  A Generalized Method to Extend the Maximum Unambiguous Range of LiDAR With Any Point Acquisition Rate and a Small Sampling Window.IEEE Trans. Instrum. Meas.74:1-14 (2025)
• 
  [j82]
  Tengfei Liu,Yongli Hu,Junbin Gao,Yanfeng Sun,Baocai Yin:
  Hierarchical Multi-Modal Transformer for Cross-Modal Long Document Classification.IEEE Trans. Multim.27:8981-8994 (2025)
• 
  [j81]
  Tengfei Liu,Si Wu,Zhi Liu,Zhong-Ping Jiang:
  Safety-Critical Control Under Multiple Constraints and Dynamic Uncertainties: A Nonlinear Small-Gain Approach.Unmanned Syst.13(5):1423-1436 (2025)
• 
  [c54]
  Tengfei Liu,Jiapu Wang,Yongli Hu,Mingjie Li,Junfei Yi,Xiaojun Chang,Junbin Gao,Baocai Yin:
  HC-LLM: Historical-Constrained Large Language Models for Radiology Report Generation.AAAI2025:5595-5603
• 
  [c53]
  Si Wu,Tengfei Liu,Jinliang Ding,Yuzhe Li,Tianyou Chai,Zhong-Ping Jiang:
  Safe Output-Feedback Control for a Class of Linear Systems with Multiple Output Constraints.CDC2025:2138-2145
• 
  [c52]
  Liang Su,Mingyang Zhang,Kangxiang Jia,Tengfei Liu,Weiqiang Wang,Yun Xiong,Xixi Wu,Xinyu Gao,Yongrui Fu,Jiawei Zhang:
  Towards Explainable Transaction Risk Analysis With Dual Graph Retrieval Augmented Generation.CIKM2025:6045-6052
• 
  [c51]
  Si Wu,Shuai Wang,Tengfei Liu,Zhong-Ping Jiang:
  Safety-Critical Control of a Class of Underactuated Systems: A Case Study on Wheeled Inverted Pendulum.ECC2025:3158-3164
• 
  [c50]
  Weiwei Feng,Nanqing Xu,Kaiyuan Zheng,Changtao Miao,Tengfei Liu,Weiqiang Wang:
  GMamba: EEG Representation Learning from Spatiotemporal Perspectives via Graph Mamba.ICONIP (3)2025:110-122
• 
  [c49]
  Weiwei Feng,Nanqing Xu,Tengfei Liu,Weiqiang Wang:
  Mixture-of-Queries Transformer: Camouflaged Instance Segmentation via Queries Cooperation and Frequency Enhancement.IJCAI2025:1008-1016
• 
  [c48]
  Tengfei Liu,Tingting Wang,Ye Li,Jinwei Zhao,Ruifeng Gao,Jianping Pan:
  Modeling Packet Loss of Low-Earth Orbit Satellite Networks.WCNC2025:1-6
• 
  [i25]
  Liyue Chen,Jiangyi Fang,Tengfei Liu,Fangyuan Gao,Leye Wang:
  STContext: A Multifaceted Dataset for Developing Context-aware Spatio-temporal Crowd Mobility Prediction Models.CoRRabs/2501.03583 (2025)
• 
  [i24]
  Tengfei Liu,Haoyang Zhong,Jiazheng Hu,Tan Zhang:
  SafeMove-RL: A Certifiable Reinforcement Learning Framework for Dynamic Motion Constraints in Trajectory Planning.CoRRabs/2505.12648 (2025)
• 
  [i23]
  Wei Guo,Yiyang Duan,Zhaojun Hu,Yiqi Tong,Fuzhen Zhuang,Xiao Zhang,Jin Dong,Ruofan Wu,Tengfei Liu,Yifan Sun:
  Proto-EVFL: Enhanced Vertical Federated Learning via Dual Prototype with Extremely Unaligned Data.CoRRabs/2507.22488 (2025)
• 
  [i22]
  Si Wu,Tengfei Liu,Yiguang Hong,Zhong-Ping Jiang,Tianyou Chai:
  Feasible-Set Reshaping for Constraint Qualification in Optimization-Based Control.CoRRabs/2512.12600 (2025)
• 
  [i21]
  Si Wu,Zhengyan Qin,Tengfei Liu,Zhong-Ping Jiang:
  Quadratic-Programming-based Control of Multi-Robot Systems for Cooperative Object Transport.CoRRabs/2512.12601 (2025)
• 2024
• 
  [j80]
  Yueji Liu,Xiyu Peng,Cunxin Lin,Dan Liu,Yang Sun,Feiran Huang,Tengfei Liu,Lijie Xiao,Xiue Wei,Kai Wang,Zhengwei Chen,Liangqun Rong:
  Fractional Amplitude of Low-Frequency Fluctuation and Voxel-Mirrored Homotopic Connectivity in Patients with Persistent Postural-Perceptual Dizziness: Resting-State Functional Magnetic Resonance Imaging Study.Brain Connect.14(5):274-283 (2024)
• 
  [j79]
  Guanghao Yin,Yuanyuan Liu,Tengfei Liu,Haoyu Zhang,Fang Fang,Chang Tang,Liangxiao Jiang:
  Token-disentangling Mutual Transformer for multimodal emotion recognition.Eng. Appl. Artif. Intell.133:108348 (2024)
• 
  [j78]
  Jianhao Yu,Tengfei Liu,Ye Li,Feng Ding,Sheng Wu:
  On the Decoding Cost of Streaming Forward Erasure Correction Codes.IEEE Commun. Lett.28(8):1760-1764 (2024)
• 
  [j77]
  Chao Mou,Chengcheng Zhu,Tengfei Liu,Xiaohui Cui:
  A novel efficient wildlife detecting method with lightweight deployment on UAVs based on YOLOv7.IET Image Process.18(5):1296-1314 (2024)
• 
  [j76]
  Tengfei Liu,Yongli Hu,Junbin Gao,Jiapu Wang,Yanfeng Sun,Baocai Yin:
  Multi-modal long document classification based on Hierarchical Prompt and Multi-modal Transformer.Neural Networks176:106322 (2024)
• 
  [j75]
  Huanhuan Li,Tengfei Liu,Zhong-Ping Jiang:
  A Lyapunov-Based Small-Gain Theorem for a Network of Finite-Time Input-to-State Stable Systems.IEEE Trans. Autom. Control.69(2):1052-1059 (2024)
• 
  [j74]
  Mengxi Wang,Tengfei Liu,Zhong-Ping Jiang:
  Robust Saturated Stabilization With Measurement Errors: From a Chain of Integrators to Feedforward Systems.IEEE Trans. Autom. Control.69(3):1627-1642 (2024)
• 
  [j73]
  Zhengyan Qin,Tengfei Liu,Tao Liu,Zhong-Ping Jiang,Tianyou Chai:
  Distributed Feedback Optimization of Nonlinear Uncertain Systems Subject to Inequality Constraints.IEEE Trans. Autom. Control.69(6):3989-3996 (2024)
• 
  [j72]
  Yutian Wang,Tengfei Liu,Hyungbo Shim,George A. Rovithakis,Zhong-Ping Jiang:
  A Lyapunov Characterization of Prescribed Performance Control Systems.IEEE Trans. Autom. Control.69(11):7917-7924 (2024)
• 
  [j71]
  Tengfei Liu,Yongli Hu,Junbin Gao,Yanfeng Sun,Baocai Yin:
  Hierarchical Multi-Granularity Interaction Graph Convolutional Network for Long Document Classification.IEEE ACM Trans. Audio Speech Lang. Process.32:1762-1775 (2024)
• 
  [j70]
  Tengfei Liu,Yongli Hu,Junbin Gao,Yanfeng Sun,Baocai Yin:
  Hierarchical Multi-Modal Prompting Transformer for Multi-Modal Long Document Classification.IEEE Trans. Circuits Syst. Video Technol.34(7):6376-6390 (2024)
• 
  [j69]
  Jiapu Wang,Boyue Wang,Junbin Gao,Shirui Pan,Tengfei Liu,Baocai Yin,Wen Gao:
  MADE: Multicurvature Adaptive Embedding for Temporal Knowledge Graph Completion.IEEE Trans. Cybern.54(10):5818-5831 (2024)
• 
  [j68]
  Tengfei Liu,Yongli Hu,Junbin Gao,Yanfeng Sun,Baocai Yin:
  Cross-modal Multiple Granularity Interactive Fusion Network for Long Document Classification.ACM Trans. Knowl. Discov. Data18(4):78:1-78:24 (2024)
• 
  [c47]
  Fuyu Zhao,Weinan Gao,Tengfei Liu,Zhong-Ping Jiang:
  Event-Triggered Cooperative Adaptive Cruise Control of Vehicular Platoons.CDC2024:6421-6427
• 
  [c46]
  Xi Chen,Yun Xiong,Siwei Zhang,Jiawei Zhang,Yao Zhang,Shiyang Zhou,Xixi Wu,Mingyang Zhang,Tengfei Liu,Weiqiang Wang:
  DTFormer: A Transformer-Based Method for Discrete-Time Dynamic Graph Representation Learning.CIKM2024:301-311
• 
  [c45]
  Zhengyan Qin,Tao Liu,Tengfei Liu,Zhong-Ping Jiang:
  Distributed Feedback Optimization of Networked Nonlinear Systems Using Relative Output Measurements.ECC2024:285-290
• 
  [c44]
  Liyue Chen,Jiangyi Fang,Tengfei Liu,Shaosheng Cao,Leye Wang:
  A Unified Model for Spatio-Temporal Prediction Queries with Arbitrary Modifiable Areal Units.ICDE2024:1352-1365
• 
  [c43]
  Mingyi Li,Xiao Zhang,Qi Wang,Tengfei Liu,Ruofan Wu,Weiqiang Wang,Fuzhen Zhuang,Hui Xiong,Dongxiao Yu:
  Resource-Aware Federated Self-Supervised Learning with Global Class Representations.NeurIPS2024
• 
  [c42]
  Ruofan Wu,Guanhua Fang,Mingyang Zhang,Qiying Pan,Tengfei Liu,Weiqiang Wang:
  On provable privacy vulnerabilities of graph representations.NeurIPS2024
• 
  [i20]
  Ruofan Wu,Guanhua Fang,Qiying Pan,Mingyang Zhang,Tengfei Liu,Weiqiang Wang,Wenbiao Zhao:
  On provable privacy vulnerabilities of graph representations.CoRRabs/2402.04033 (2024)
• 
  [i19]
  Liyue Chen,Jiangyi Fang,Tengfei Liu,Shaosheng Cao,Leye Wang:
  A Unified Model for Spatio-Temporal Prediction Queries with Arbitrary Modifiable Areal Units.CoRRabs/2403.07022 (2024)
• 
  [i18]
  Qi Zhao,Tengfei Liu,Bai Yan,Qiqi Duan,Jian Yang,Yuhui Shi:
  Automated Metaheuristic Algorithm Design with Autoregressive Learning.CoRRabs/2405.03419 (2024)
• 
  [i17]
  Tengfei Liu,Zhong-Ping Jiang:
  Singular Perturbation: When the Perturbation Parameter Becomes a State-Dependent Function.CoRRabs/2406.00753 (2024)
• 
  [i16]
  Si Wu,Tengfei Liu,Zhong-Ping Jiang:
  Constructive Safety Control.CoRRabs/2406.01058 (2024)
• 
  [i15]
  Zhi Liu,Si Wu,Tengfei Liu,Zhong-Ping Jiang:
  Safety-Critical Control of Euler-Lagrange Systems Subject to Multiple Obstacles and Velocity Constraints.CoRRabs/2406.01153 (2024)
• 
  [i14]
  Junfei Yi,Jianxu Mao,Tengfei Liu,Mingjie Li,Hanyu Gu,Hui Zhang,Xiaojun Chang,Yaonan Wang:
  Teaching with Uncertainty: Unleashing the Potential of Knowledge Distillation in Object Detection.CoRRabs/2406.06999 (2024)
• 
  [i13]
  Tengfei Liu,Yongli Hu,Junbin Gao,Yanfeng Sun,Baocai Yin:
  Hierarchical Multi-modal Transformer for Cross-modal Long Document Classification.CoRRabs/2407.10105 (2024)
• 
  [i12]
  Xi Chen,Yun Xiong,Siwei Zhang,Jiawei Zhang,Yao Zhang,Shiyang Zhou,Xixi Wu,Mingyang Zhang,Tengfei Liu,Weiqiang Wang:
  DTFormer: A Transformer-Based Method for Discrete-Time Dynamic Graph Representation Learning.CoRRabs/2407.18523 (2024)
• 
  [i11]
  Tengfei Liu,Jiapu Wang,Yongli Hu,Mingjie Li,Junfei Yi,Xiaojun Chang,Junbin Gao,Baocai Yin:
  HC-LLM: Historical-Constrained Large Language Models for Radiology Report Generation.CoRRabs/2412.11070 (2024)
• 2023
• 
  [j67]
  Zhixin Li,Meng Zhang,Keda Liang,Zhe Chang,Tengfei Liu,Xu Chen,Jing Wang:
  Experimental Study on Optical Imaging of Convex Mode-2 Internal Solitary Waves in Calm Water.IEEE Geosci. Remote. Sens. Lett.20:1-5 (2023)
• 
  [j66]
  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)
• 
  [j65]
  Si Wu,Tengfei Liu,Magnus Egerstedt,Zhong-Ping Jiang:
  Quadratic Programming for Continuous Control of Safety-Critical Multiagent Systems Under Uncertainty.IEEE Trans. Autom. Control.68(11):6664-6679 (2023)
• 
  [j64]
  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)
• 
  [j63]
  Meng Zhang,Jing Wang,Zhixin Li,Zhe Chang,Tengfei Liu,Xu Chen,Junmin Meng,Lina Sun:
  Study on Optical Imaging Signals of Rough Surfaces Caused by ISWs in the Ocean.IEEE Trans. Geosci. Remote. Sens.61:1-14 (2023)
• 
  [j62]
  Tengfei Liu,Yongli Hu,Boyue Wang,Yanfeng Sun,Junbin Gao,Baocai Yin:
  Hierarchical Graph Convolutional Networks for Structured Long Document Classification.IEEE Trans. Neural Networks Learn. Syst.34(10):8071-8085 (2023)
• 
  [j61]
  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)
• 
  [c41]
  Jinjiang Li,Tao Liu,Tengfei Liu:
  Data-Driven Finite-Time Control for Discrete-Time Linear Time-Invariant Systems.CDC2023:1595-1600
• 
  [c40]
  Jiawang Dan,Ruofan Wu,Yunpeng Liu,Baokun Wang,Changhua Meng,Tengfei Liu,Tianyi Zhang,Ningtao Wang,Xing Fu,Qi Li,Weiqiang Wang:
  Self-supervision meets kernel graph neural models: From architecture to augmentations.ICDM (Workshops)2023:1076-1083
• 
  [c39]
  Tengfei Liu,Yongli Hu,Puman Chen,Yanfeng Sun,Baocai Yin:
  Zero-Shot Text Classification with Semantically Extended Textual Entailment.IJCNN2023:1-8
• 
  [c38]
  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.NeurIPS2023
• 
  [i10]
  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.CoRRabs/2303.10358 (2023)
• 
  [i9]
  Jiapu Wang,Boyue Wang,Meikang Qiu,Shirui Pan,Bo Xiong,Heng Liu,Linhao Luo,Tengfei Liu,Yongli Hu,Baocai Yin,Wen Gao:
  A Survey on Temporal Knowledge Graph Completion: Taxonomy, Progress, and Prospects.CoRRabs/2308.02457 (2023)
• 
  [i8]
  Qiying Pan,Ruofan Wu,Tengfei Liu,Tianyi Zhang,Yifei Zhu,Weiqiang Wang:
  FedGKD: Unleashing the Power of Collaboration in Federated Graph Neural Networks.CoRRabs/2309.09517 (2023)
• 
  [i7]
  Jiawang Dan,Ruofan Wu,Yunpeng Liu,Baokun Wang,Changhua Meng,Tengfei Liu,Tianyi Zhang,Ningtao Wang,Xing Fu,Qi Li,Weiqiang Wang:
  Self-supervision meets kernel graph neural models: From architecture to augmentations.CoRRabs/2310.11281 (2023)
• 
  [i6]
  Ruofan Wu,Mingyang Zhang,Lingjuan Lyu,Xiaolong Xu,Xiuquan Hao,Xinyi Fu,Tengfei Liu,Tianyi Zhang,Weiqiang Wang:
  Privacy-preserving design of graph neural networks with applications to vertical federated learning.CoRRabs/2310.20552 (2023)
• 2022
• 
  [j60]
  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 Access10:39864-39874 (2022)
• 
  [j59]
  Yutian Wang,Tengfei Liu,Zhong-Ping Jiang:
  Systematic design of supervisory controllers for a class of uncertain nonlinearly parameterized systems.Autom.135:109991 (2022)
• 
  [j58]
  Tengfei Liu,Zhengyan Qin,Zhong-Ping Jiang:
  A new look at distributed optimal output agreement of multi-agent systems.Autom.136:110053 (2022)
• 
  [j57]
  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)
• 
  [j56]
  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)
• 
  [j55]
  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)
• 
  [j54]
  Zhengyan Qin,Tengfei Liu,Zhong-Ping Jiang:
  Adaptive backstepping for distributed optimization.Autom.141:110304 (2022)
• 
  [j53]
  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)
• 
  [j52]
  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)
• 
  [j51]
  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.IJCNN2022:1-7
• 
  [i5]
  Si Wu,Tengfei Liu,Magnus Egerstedt,Zhong-Ping Jiang:
  Quadratic Programming for Continuous Control of Safety-Critical Multi-Agent Systems Under Uncertainty.CoRRabs/2211.16720 (2022)
• 2021
• 
  [j50]
  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)
• 
  [j49]
  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)
• 
  [j48]
  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)
• 
  [j47]
  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)
• 
  [j46]
  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)
• 
  [j45]
  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)
• 
  [j44]
  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 Signal38(6):1829-1835 (2021)
• 
  [j43]
  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.CIKM2021:2497-2506
• 
  [c35]
  Yongli Hu,Puman Chen,Tengfei Liu,Junbin Gao,Yanfeng Sun,Baocai Yin:
  Hierarchical Attention Transformer Networks for Long Document Classification.IJCNN2021:1-7
• 2020
• 
  [j42]
  Tengfei Liu,Jia Qi,Zhong-Ping Jiang:
  Distributed containment control of multi-agent systems with velocity and acceleration saturations.Autom.117:108992 (2020)
• 
  [j41]
  Tengfei Liu,Zhong-Ping Jiang:
  Distributed control of multi-agent systems with pulse-width-modulated controllers.Autom.119:109020 (2020)
• 
  [j40]
  Tengfei Liu,Zhong-Ping Jiang:
  Measurement feedback control of nonlinear systems: a small-gain approach.J. Control. Decis.7(1):64-89 (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.Symmetry12(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.AAAI2020:4667-4674
• 
  [c33]
  Tengfei Liu,Yongli Hu,Junbin Gao,Yanfeng Sun,Baocai Yin:
  Zero-Shot Text Classification with Semantically Extended Graph Convolutional Network.ICPR2020:8352-8359
• 
  [c32]
  Chuang Zhang,Chen Gong,Tengfei Liu,Xun Lu,Weiqiang Wang,Jian Yang:
  Online Positive and Unlabeled Learning.IJCAI2020:2248-2254
• 
  [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.KDD2020:1103-1113

• 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.CDC2019:5252-5257
• 
  [c29]
  Yutian Wang,Tengfei Liu,Zhong-Ping Jiang:
  Robust Stabilization of Nonlinear Systems with Event-Triggered and Quantized Feedback: A Nonlinear Small-Gain Design.ICCA2019:67-72
• 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.ICCA2018:429-434
• 
  [c27]
  Yutian Wang,Tengfei Liu,Zhong-Ping Jiang:
  Event-Triggered Control of Nonlinear Systems with Quantization Events.ICCA2018:441-446
• 
  [c26]
  Zhanxiu Wang,Tengfei Liu,Zhong-Ping Jiang:
  Distributed Formation Control of Multirotors with Switching Topologies.ICIA2018:167-172
• 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.CDC2017:3646-3651
• 
  [c24]
  Pengpeng Zhang,Tengfei Liu,Zhong-Ping Jiang:
  Robust event-triggered control of nonlinear systems with partial state feedback.CDC2017:6076-6081
• 
  [c23]
  Zhong-Ping Jiang,Tengfei Liu,Pengpeng Zhang:
  Event-triggered control of nonlinear systems: A small-gain paradigm.ICCA2017:242-247
• 
  [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.IECON2017:3032-3037
• 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.CCHI2016:5:1-5:10
• 
  [c20]
  Chunxin Huang,Lei Zhang,Tengfei Liu,Huaxi (Yulin) Zhang:
  A control middleware for cloud robotics.ICIA2016:1907-1912
• 
  [i4]
  Peixian Chen,Nevin L. Zhang,Tengfei Liu,Leonard K. M. Poon,Zhourong Chen:
  Latent Tree Models for Hierarchical Topic Detection.CoRRabs/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.CDC2015:4806-4811
• 
  [c18]
  Tengfei Liu,Xianghua Ding,Ning Gu:
  A Generic Energy Disaggregation Approach: What and When Electrical Appliances are Used.ICDM Workshops2015:389-397
• 
  [c17]
  Tengfei Liu,Zhong-Ping Jiang:
  Event-based nonlinear control: From centralized to decentralized systems.ICIA2015:690-695
• 
  [c16]
  Zhong-Ping Jiang,Tengfei Liu:
  Distributed control of autonomous multi-agents: A small-gain approach.RoMoCo2015:103-117
• 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.Neurocomputing144:448-462 (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.ICIA2014:176-181
• 
  [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.CoRRabs/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.CoRRabs/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.ACC2013:3051-3056
• 
  [c12]
  Tengfei Liu,Zhong-Ping Jiang,Wuping Xin,William R. McShane:
  Robust stability of a dynamic traffic assignment model with uncertainties.ACC2013:4056-4061
• 
  [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.UbiComp2013:295-304
• 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.SAM2012:381-384
• 
  [c9]
  Leonard K. M. Poon,April H. Liu,Tengfei Liu,Nevin Lianwen Zhang:
  A Model-Based Approach to Rounding in Spectral Clustering.UAI2012:685-694
• 
  [i1]
  Leonard K. M. Poon,April H. Liu,Tengfei Liu,Nevin Lianwen Zhang:
  A Model-Based Approach to Rounding in Spectral Clustering.CoRRabs/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/ECC2011:2034-2039
• 
  [c7]
  Tengfei Liu,Nevin Lianwen Zhang,Kin Man Poon,Yi Wang,Hua Liu:
  Fast Multidimensional Clustering of Categorical Data.MultiClust@ECML/PKDD2011:19-30

• 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.CDC2009:4204-4209
• 
  [c5]
  Tengfei Liu,David J. Hill,Cong Wang:
  Dissipativity-based switching adaptive control.CDC2009:6638-6643
• 2008
• 
  [c4]
  Tengfei Liu,Cong Wang,David J. Hill:
  Deterministic Learning and Rapid Dynamical Pattern Recognition of Discrete-Time Systems.ISIC2008:1091-1096
• 2007
• 
  [c3]
  Cong Wang,Tengfei Liu,Chenghong Wang:
  Deterministic Learning and Pattern-Based NN Control.ISIC2007:144-149
• 
  [c2]
  Zhengui Xue,Cong Wang,Tengfei Liu:
  Deterministic learning and robot manipulator control.ROBIO2007:1989-1994
• 
  [c1]
  Tengfei Liu,Cong Wang:
  Learning from neural control in motor systems.ROBIO2007:1995-2000
• 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)