2025
STContext: A Multifaceted Dataset for Developing Context-aware Spatio-temporal Crowd Mobility Prediction Models.
CoRR, January, 2025
2024
A Lyapunov Characterization of Prescribed Performance Control Systems.
IEEE Trans. Autom. Control., November, 2024
MADE: Multicurvature Adaptive Embedding for Temporal Knowledge Graph Completion.
IEEE Trans. Cybern., October, 2024
On the Decoding Cost of Streaming Forward Erasure Correction Codes.
IEEE Commun. Lett., August, 2024
Distributed Feedback Optimization of Nonlinear Uncertain Systems Subject to Inequality Constraints.
IEEE Trans. Autom. Control., June, 2024
Cross-modal Multiple Granularity Interactive Fusion Network for Long Document Classification.
ACM Trans. Knowl. Discov. Data, May, 2024
Robust Saturated Stabilization With Measurement Errors: From a Chain of Integrators to Feedforward Systems.
IEEE Trans. Autom. Control., March, 2024
A Lyapunov-Based Small-Gain Theorem for a Network of Finite-Time Input-to-State Stable Systems.
IEEE Trans. Autom. Control., February, 2024
Hierarchical Multi-Modal Prompting Transformer for Multi-Modal Long Document Classification.
IEEE Trans. Circuits Syst. Video Technol., 2024
Hierarchical Multi-Granularity Interaction Graph Convolutional Network for Long Document Classification.
IEEE ACM Trans. Audio Speech Lang. Process., 2024
Multi-modal long document classification based on Hierarchical Prompt and Multi-modal Transformer.
Neural Networks, 2024
A novel efficient wildlife detecting method with lightweight deployment on UAVs based on YOLOv7.
IET Image Process., 2024
Token-disentangling Mutual Transformer for multimodal emotion recognition.
Eng. Appl. Artif. Intell., 2024
HC-LLM: Historical-Constrained Large Language Models for Radiology Report Generation.
CoRR, 2024
Hierarchical Multi-modal Transformer for Cross-modal Long Document Classification.
CoRR, 2024
Teaching with Uncertainty: Unleashing the Potential of Knowledge Distillation in Object Detection.
CoRR, 2024
Safety-Critical Control of Euler-Lagrange Systems Subject to Multiple Obstacles and Velocity Constraints.
CoRR, 2024
Constructive Safety Control.
CoRR, 2024
Singular Perturbation: When the Perturbation Parameter Becomes a State-Dependent Function.
CoRR, 2024
Automated Metaheuristic Algorithm Design with Autoregressive Learning.
CoRR, 2024
On provable privacy vulnerabilities of graph representations.
CoRR, 2024
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.
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Brain Connect., 2024
On provable privacy vulnerabilities of graph representations.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Resource-Aware Federated Self-Supervised Learning with Global Class Representations.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
A Unified Model for Spatio-Temporal Prediction Queries with Arbitrary Modifiable Areal Units.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024
Distributed Feedback Optimization of Networked Nonlinear Systems Using Relative Output Measurements.
Proceedings of the European Control Conference, 2024
DTFormer: A Transformer-Based Method for Discrete-Time Dynamic Graph Representation Learning.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
2023
Quadratic Programming for Continuous Control of Safety-Critical Multiagent Systems Under Uncertainty.
IEEE Trans. Autom. Control., November, 2023
Hierarchical Graph Convolutional Networks for Structured Long Document Classification.
IEEE Trans. Neural Networks Learn. Syst., October, 2023
Event-Triggered Robust Adaptive Dynamic Programming With Output Feedback for Large-Scale Systems.
IEEE Trans. Control. Netw. Syst., March, 2023
Recent Developments in Event-Triggered Control of Nonlinear Systems: An Overview.
Unmanned Syst., January, 2023
Study on Optical Imaging Signals of Rough Surfaces Caused by ISWs in the Ocean.
IEEE Trans. Geosci. Remote. Sens., 2023
Tracking Control of Unicycle Mobile Robots With Event-Triggered and Self-Triggered Feedback.
IEEE Trans. Autom. Control., 2023
Experimental Study on Optical Imaging of Convex Mode-2 Internal Solitary Waves in Calm Water.
IEEE Geosci. Remote. Sens. Lett., 2023
Privacy-preserving design of graph neural networks with applications to vertical federated learning.
CoRR, 2023
Self-supervision meets kernel graph neural models: From architecture to augmentations.
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CoRR, 2023
FedGKD: Unleashing the Power of Collaboration in Federated Graph Neural Networks.
CoRR, 2023
A Survey on Temporal Knowledge Graph Completion: Taxonomy, Progress, and Prospects.
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CoRR, 2023
Neural Frailty Machine: Beyond proportional hazard assumption in neural survival regressions.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Zero-Shot Text Classification with Semantically Extended Textual Entailment.
Proceedings of the International Joint Conference on Neural Networks, 2023
Self-supervision meets kernel graph neural models: From architecture to augmentations.
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Proceedings of the IEEE International Conference on Data Mining, 2023
Data-Driven Finite-Time Control for Discrete-Time Linear Time-Invariant Systems.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023
2022
Distributed Optimization of Nonlinear Multiagent Systems: A Small-Gain Approach.
IEEE Trans. Autom. Control., 2022
Continuous Safety Control of Mobile Robots in Cluttered Environments.
IEEE Robotics Autom. Lett., 2022
Safety Control of a Class of Fully Actuated Systems Subject to Uncertain Actuation Dynamics.
J. Syst. Sci. Complex., 2022
Quadratic Programming for Continuous Control of Safety-Critical Multi-Agent Systems Under Uncertainty.
CoRR, 2022
Adaptive optimal output regulation of linear discrete-time systems based on event-triggered output-feedback.
Autom., 2022
Nonlinear integral control with event-triggered feedback: Unknown decay rates, zeno-freeness, and asymptotic convergence.
Autom., 2022
Systematic design of supervisory controllers for a class of uncertain nonlinearly parameterized systems.
Autom., 2022
Adaptive backstepping for distributed optimization.
Autom., 2022
Distributed optimization for uncertain Euler-Lagrange Systems with local and relative measurements.
Autom., 2022
A new look at distributed optimal output agreement of multi-agent systems.
Autom., 2022
Personalized Recommendation of Location-Based Services Using Spatio-Temporal-Aware Long and Short Term Neural Network.
IEEE Access, 2022
Hierarchical Multiple Granularity Attention Network for Long Document Classification.
Proceedings of the International Joint Conference on Neural Networks, 2022
2021
Event-Triggered Adaptive Optimal Control With Output Feedback: An Adaptive Dynamic Programming Approach.
IEEE Trans. Neural Networks Learn. Syst., 2021
Image Feature Analysis and Dynamic Measurement of Plantar Pressure Based on Fusion Feature Extraction.
Traitement du Signal, 2021
Cooperative Formation Control Under Switching Topology: An Experimental Case Study in Multirotors.
IEEE Trans. Cybern., 2021
Global Finite-Time Output-Feedback Stabilization of Nonlinear Systems Under Relaxed Conditions.
IEEE Trans. Autom. Control., 2021
Event-Triggered Stabilization of a Class of Nonlinear Time-Delay Systems.
IEEE Trans. Autom. Control., 2021
Systematic Design of Robust Event-Triggered State and Output Feedback Controllers for Uncertain Nonholonomic Systems.
IEEE Trans. Autom. Control., 2021
New Results in Stabilization of Uncertain Nonholonomic Systems: An Event-Triggered Control Approach.
J. Syst. Sci. Complex., 2021
Compensation-signal-driven control for a class of nonlinear uncertain systems.
Autom., 2021
Hierarchical Attention Transformer Networks for Long Document Classification.
Proceedings of the International Joint Conference on Neural Networks, 2021
Fraud Detection under Multi-Sourced Extremely Noisy Annotations.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021
2020
Heat Transfer Enhancement in a Novel Annular Tube with Outer Straight and Inner Twisted Oval Tubes.
Symmetry, 2020
Measurement feedback control of nonlinear systems: a small-gain approach.
J. Control. Decis., 2020
Distributed containment control of multi-agent systems with velocity and acceleration saturations.
Autom., 2020
Distributed control of multi-agent systems with pulse-width-modulated controllers.
Autom., 2020
SEAL: Learning Heuristics for Community Detection with Generative Adversarial Networks.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020
Online Positive and Unlabeled Learning.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020
Zero-Shot Text Classification with Semantically Extended Graph Convolutional Network.
Proceedings of the 25th International Conference on Pattern Recognition, 2020
Coupled-View Deep Classifier Learning from Multiple Noisy Annotators.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
Event-Triggered Control of Nonlinear Systems With State Quantization.
IEEE Trans. Autom. Control., 2019
An IOS Small-Gain Theorem for Large-Scale Hybrid Systems.
IEEE Trans. Autom. Control., 2019
Event-triggered input-to-state stabilization of nonlinear systems subject to disturbances and dynamic uncertainties.
Autom., 2019
Robust Stabilization of Nonlinear Systems with Event-Triggered and Quantized Feedback: A Nonlinear Small-Gain Design.
Proceedings of the 15th IEEE International Conference on Control and Automation, 2019
Distributed Optimization of Nonlinear Multi-Agent Systems: A Small-Gain Approach.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019
2018
Nonlinear Control Tools for Fused Magnesium Furnaces: Design and Implementation.
IEEE Trans. Ind. Electron., 2018
Preface - Special Issue on New Directions in Nonlinear and Distributed Control.
J. Syst. Sci. Complex., 2018
A Nonlinear Small-Gain Theorem for Large-Scale Infinite-Dimensional Systems.
J. Syst. Sci. Complex., 2018
Small-gain theory for stability and control of dynamical networks: A Survey.
Annu. Rev. Control., 2018
Recurrent networks with attention and convolutional networks for sentence representation and classification.
Appl. Intell., 2018
Distributed Formation Control of Multirotors with Switching Topologies.
Proceedings of the IEEE International Conference on Information and Automation, 2018
A Rule-Based Mechanism for Event-Triggered Robust Control of Nonlinear Systems.
Proceedings of the 14th IEEE International Conference on Control and Automation, 2018
Event-Triggered Control of Nonlinear Systems with Quantization Events.
Proceedings of the 14th IEEE International Conference on Control and Automation, 2018
2017
Input-to-state stabilization of nonlinear discrete-time systems with event-triggered controllers.
Syst. Control. Lett., 2017
Latent tree models for hierarchical topic detection.
Artif. Intell., 2017
Disturbance rejection control for single-rod electro-hydraulic servo system based on dual-extended-state-observer.
Proceedings of the IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society, Beijing, China, October 29, 2017
Event-triggered control of nonlinear systems: A small-gain paradigm.
Proceedings of the 13th IEEE International Conference on Control & Automation, 2017
Robust event-triggered control of nonlinear systems with partial state feedback.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017
2016
Distributed Nonlinear Control of Multi-Agent Systems with Switching Topologies.
Unmanned Syst., 2016
Latent Tree Models for Hierarchical Topic Detection.
CoRR, 2016
A junction-by-junction feedback-based strategy with convergence analysis for dynamic traffic assignment.
Sci. China Inf. Sci., 2016
Further results on quantized stabilization of nonlinear cascaded systems with dynamic uncertainties.
Sci. China Inf. Sci., 2016
Sci. China Inf. Sci., 2016
A control middleware for cloud robotics.
Proceedings of the IEEE International Conference on Information and Automation, 2016
ArchiExpression: A Physical Eco-Feedback Display in an Outdoor Campus Space of China.
Proceedings of the Fourth International Symposium on Chinese CHI, 2016
2015
A Small-Gain Approach to Robust Event-Triggered Control of Nonlinear Systems.
IEEE Trans. Autom. Control., 2015
Greedy learning of latent tree models for multidimensional clustering.
Mach. Learn., 2015
A survey of recent results in quantized and event-based nonlinear control.
Int. J. Autom. Comput., 2015
Event-based control of nonlinear systems with partial state and output feedback.
Autom., 2015
Distributed control of autonomous multi-agents: A small-gain approach.
Proceedings of the 10th International Workshop on Robot Motion and Control, 2015
Event-based nonlinear control: From centralized to decentralized systems.
Proceedings of the IEEE International Conference on Information and Automation, 2015
A Generic Energy Disaggregation Approach: What and When Electrical Appliances are Used.
Proceedings of the IEEE International Conference on Data Mining Workshop, 2015
Quantized event-based control of nonlinear systems.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015
2014
Deterministic learning and neural control of a class of nonlinear systems toward improved performance.
Neural Comput. Appl., 2014
Subangstrom Accuracy in pHLA-I Modeling by Rosetta FlexPepDock Refinement Protocol.
J. Chem. Inf. Model., 2014
Latent tree models for rounding in spectral clustering.
Neurocomputing, 2014
An Evidence-Based Approach to Patient Classification in Traditional Chinese Medicine based on Latent Tree Analysis.
CoRR, 2014
Distributed nonlinear control of mobile autonomous multi-agents.
Autom., 2014
Hierarchical Latent Tree Analysis for Topic Detection.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014
Distributed nonlinear control of multi-agent systems with switching topologies.
Proceedings of the IEEE International Conference on Information and Automation, 2014
2013
Distributed Output-Feedback Control of Nonlinear Multi-Agent Systems.
IEEE Trans. Autom. Control., 2013
Combined QSAR and molecule docking studies on predicting P-glycoprotein inhibitors.
J. Comput. Aided Mol. Des., 2013
A Survey on Latent Tree Models and Applications.
J. Artif. Intell. Res., 2013
Model-based clustering of high-dimensional data: Variable selection versus facet determination.
Int. J. Approx. Reason., 2013
Distributed formation control of nonholonomic mobile robots without global position measurements.
Autom., 2013
The collective infrastructural work of electricity: exploring feedback in a prepaid university dorm in China.
Proceedings of the 2013 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2013
Robust stability of a dynamic traffic assignment model with uncertainties.
Proceedings of the American Control Conference, 2013
A nonlinear small-gain approach to distributed formation control of nonholonomic mobile robots.
Proceedings of the American Control Conference, 2013
2012
Learning From ISS-Modular Adaptive NN Control of Nonlinear Strict-Feedback Systems.
IEEE Trans. Neural Networks Learn. Syst., 2012
Small-Gain Based Output-Feedback Controller Design for a Class of Nonlinear Systems With Actuator Dynamic Quantization.
IEEE Trans. Autom. Control., 2012
Lyapunov formulation of the large-scale, ISS cyclic-small-gain theorem: The discrete-time case.
Syst. Control. Lett., 2012
Quantized stabilization of strict-feedback nonlinear systems based on ISS cyclic-small-gain theorem.
Math. Control. Signals Syst., 2012
Decentralized output-feedback control of large-scale nonlinear systems with sensor noise.
Autom., 2012
A sector bound approach to feedback control of nonlinear systems with state quantization.
Autom., 2012
Model-based multidimensional clustering of categorical data.
Artif. Intell., 2012
A Model-Based Approach to Rounding in Spectral Clustering.
Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence, 2012
A cyclic-small-gain approach to distributed output-feedback control of multi-agent nonlinear systems.
Proceedings of the IEEE 7th Sensor Array and Multichannel Signal Processing Workshop, 2012
2011
Dissipativity-Based Switching Adaptive Control.
IEEE Trans. Autom. Control., 2011
Lyapunov formulation of ISS cyclic-small-gain in continuous-time dynamical networks.
Autom., 2011
Fast Multidimensional Clustering of Categorical Data.
Proceedings of the 2nd MultiClust Workshop: Discovering, 2011
Robust control of nonlinear strict-feedback systems with measurement errors.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011
2009
Learning from neural control of nonlinear systems in normal form.
Syst. Control. Lett., 2009
Lyapunov formulation of ISS small-gain in dynamical networks.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009
2008
Deterministic Learning and Rapid Dynamical Pattern Recognition of Discrete-Time Systems.
Proceedings of the 2008 IEEE International Symposium on Intelligent Control, 2008
2007
Deterministic learning and robot manipulator control.
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2007
Learning from neural control in motor systems.
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2007
Deterministic Learning and Pattern-Based NN Control.
Proceedings of the 22nd IEEE International Symposium on Intelligent Control, 2007
2006
Adaptive neural control of a permanent magnet synchronous motor.
Int. J. Model. Identif. Control., 2006