2024
A Modified Frequency Nonlinear Chirp Scaling Algorithm for High-Speed High-Squint Synthetic Aperture Radar with Curved Trajectory.
Remote. Sens., May, 2024
Community detection in the textile-related trade network using a biased estimation of distribution algorithm.
J. Ambient Intell. Humaniz. Comput., February, 2024
Deceptive Jamming Suppression on Single-Channel Synthetic Aperture Radar via Group Phase Coding.
IEEE Trans. Geosci. Remote. Sens., 2024
An Efficient Multi-Edge Server Coalition Computation Offloading Scheme of Sensor-Edge-Cloud.
IEEE Access, 2024
Athlete Training Assistance System Based on Digital Twin Technology and Wireless Body Area Network.
Proceedings of the IEEE International Conference on E-health Networking, 2024
Channel Parameter Estimation of Neural Communication Based on Deep Learning.
Proceedings of the 2024 IEEE Global Communications Conference, 2024
2023
Supplementary Learning Control for Energy Management Strategy of Hybrid Electric Vehicles at Scale.
IEEE Trans. Veh. Technol., June, 2023
Multistability of Dynamic Memristor Delayed Cellular Neural Networks With Application to Associative Memories.
IEEE Trans. Neural Networks Learn. Syst., February, 2023
2022
New Criteria on Stability of Dynamic Memristor Delayed Cellular Neural Networks.
IEEE Trans. Cybern., 2022
Correctable-DST: Mitigating Historical Context Mismatch between Training and Inference for Improved Dialogue State Tracking.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
2021
ADKGN: An Attentive Dynamic Knowledge Graph Network for Sequential Recommendation.
Proceedings of the International Joint Conference on Neural Networks, 2021
2020
Improving Relation Classification by Incorporating Dependency and Semantic Information.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
2019
Secure Data Aggregation of Lightweight E-Healthcare IoT Devices With Fair Incentives.
IEEE Internet Things J., 2019
A Privacy-Preserving Protocol for Utility-Based Routing in DTNs.
Inf., 2019
An Improved Method for Named Entity Recognition and Its Application to CEMR.
Future Internet, 2019
Community detection based on Graph Coloring.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019
An Attention-Based ID-CNNs-CRF Model for Named Entity Recognition on Clinical Electronic Medical Records.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019 - 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17-19, 2019, Proceedings, 2019
2017
Sensitivity Analysis for Building Energy Simulation Model Calibration via Algorithmic Differentiation.
IEEE Trans Autom. Sci. Eng., 2017
An Approximate Dynamic Programming Approach to Multiagent Persistent Monitoring in Stochastic Environments With Temporal Logic Constraints.
IEEE Trans. Autom. Control., 2017
Multi-objective optimal scheduling of reconfigurable assembly line for cloud manufacturing.
Optim. Methods Softw., 2017
Manufacturing Resource Modeling for Cloud Manufacturing.
Int. J. Intell. Syst., 2017
Estimation of distribution algorithm combined with chaotic sequence for dynamic optimisation problems.
Int. J. Comput. Sci. Math., 2017
2015
Model Predictive Control of Central Chiller Plant With Thermal Energy Storage Via Dynamic Programming and Mixed-Integer Linear Programming.
IEEE Trans Autom. Sci. Eng., 2015
Optimal Kullback-Leibler approximation of Markov chains via nuclear norm regularisation.
Int. J. Syst. Sci., 2015
Effect of Pulse-and-Glide Strategy on Traffic Flow for a Platoon of Mixed Automated and Manually Driven Vehicles.
Comput. Aided Civ. Infrastructure Eng., 2015
2014
Structure-preserving model reduction of nonlinear building thermal models.
Autom., 2014
Legendre pseudospectral computation of optimal speed profiles for vehicle eco-driving system.
Proceedings of the 2014 IEEE Intelligent Vehicles Symposium Proceedings, 2014
Sensitivity analysis for building energy simulation model calibration via automatic differentiation.
Proceedings of 11th IEEE International Conference on Networking, Sensing and Control, 2014
Budgeted Learning for Developing Personalized Treatment.
Proceedings of the 13th International Conference on Machine Learning and Applications, 2014
Social incentive policies to engage commercial building occupants in demand response.
Proceedings of the 2014 IEEE International Conference on Automation Science and Engineering, 2014
Adaptive model predictive control of uncertain constrained systems.
Proceedings of the American Control Conference, 2014
2013
New algorithms for budgeted learning.
Mach. Learn., 2013
Tagpref: User Preference Modeling by Social Tagging.
Proceedings of the 2013 IEEE 10th International Conference on Ubiquitous Intelligence and Computing and 2013 IEEE 10th International Conference on Autonomic and Trusted Computing, 2013
Optimal scheduling of chiller plant with thermal energy storage using mixed integer linear programming.
Proceedings of the American Control Conference, 2013
2012
Multi-agent persistent monitoring in stochastic environments with temporal logic constraints.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012
Model reduction of Markov chains via low-rank approximation.
Proceedings of the American Control Conference, 2012
Mean-field control for energy efficient buildings.
Proceedings of the American Control Conference, 2012
2011
Optimal Kullback-Leibler Aggregation via Spectral Theory of Markov Chains.
IEEE Trans. Autom. Control., 2011
Active Learning for Developing Personalized Treatment.
Proceedings of the UAI 2011, 2011
Machine learning-based automatic detection of pulmonary trunk.
Proceedings of the Medical Imaging 2011: Computer-Aided Diagnosis, 2011
A recursive learning algorithm for model reduction of Hidden Markov Models.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011
Active learning for personalizing treatment.
Proceedings of the 2011 IEEE Symposium on Adaptive Dynamic Programming And Reinforcement Learning, 2011
2010
Active Learning from Multiple Noisy Labelers with Varied Costs.
Proceedings of the ICDM 2010, 2010
Aggregation-based model reduction of a Hidden Markov Model.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010
Building thermal model reduction via aggregation of states.
Proceedings of the American Control Conference, 2010
2009
A simulation-based method for aggregating Markov chains.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009
An information-theoretic framework to aggregate a Markov chain.
Proceedings of the American Control Conference, 2009
2008
On reoptimizing multi-class classifiers.
Mach. Learn., 2008
Adaptive Top-k Query Processing in Intermittently Connected Networks.
Proceedings of the Second International Conference on Future Generation Communication and Networking, 2008
Resource pooling for optimal evacuation of a large building.
Proceedings of the 47th IEEE Conference on Decision and Control, 2008
Model reduction for reduced order estimation in traffic models.
Proceedings of the American Control Conference, 2008
2007
Bandit-Based Algorithms for Budgeted Learning.
Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007
Research of Web Pages Categorization.
Proceedings of the 2007 IEEE International Conference on Granular Computing, 2007
2006
Active Learning to Maximize Area Under the ROC Curve.
Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006
2005
The Design Space of CMP vs. SMT for High Performance Embedded Processor.
Proceedings of the Embedded Software and Systems, Second International Conference, 2005
Trace-Based Runtime Instruction Rescheduling for Architecture Extension.
Proceedings of the Embedded Software and Systems, Second International Conference, 2005
Balancing Exploration and Exploitation: A New Algorithm for Active Machine Learning.
Proceedings of the 5th IEEE International Conference on Data Mining (ICDM 2005), 2005
RIMP: Runtime Implicit Predication.
Proceedings of the Advanced Parallel Processing Technologies, 6th International Workshop, 2005
Making Power-Efficient Data Value Predictions.
Proceedings of the Advances in Computer Systems Architecture, 10th Asia-Pacific Conference, 2005
2004
Performance Impact of Different Data Value Predictors.
Proceedings of the Advances in Computer Systems Architecture, 9th Asia-Pacific Conference, 2004
2003
The Consistency Mechanism of Meta-data Management in Distributed Storage System.
Proceedings of the Grid and Cooperative Computing, Second International Workshop, 2003
2000
A high-efficiency scheme for secure speech transmission using spatiotemporal chaos synchronization.
Proceedings of the Sixth International Conference on Spoken Language Processing, 2000