2024
Product Query Recommendation for Enriching Suggested Q&As.
Proceedings of the 2024 ACM SIGIR Conference on Human Information Interaction and Retrieval, 2024
2023
Deep learning-based cutting force prediction for machining process using monitoring data.
Pattern Anal. Appl., August, 2023
DDM-HSA: Dual Deterministic Model-Based Heart Sound Analysis for Daily Life Monitoring.
Sensors, March, 2023
PARS-Push: Personalized, Asynchronous and Robust Decentralized Optimization.
IEEE Control. Syst. Lett., 2023
Leveraging Feature Interaction for Modeling User-Item Interaction in Recommender Systems.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023
2022
Novel Design of a Multimodal Technology-Based Smart Stethoscope for Personal Cardiovascular Health Monitoring.
Sensors, 2022
Depressed Mood Prediction of Elderly People with a Wearable Band.
Sensors, 2022
Uncertainty Guided Policy for Active Robotic 3D Reconstruction Using Neural Radiance Fields.
IEEE Robotics Autom. Lett., 2022
Hyperfast second-order local solvers for efficient statistically preconditioned distributed optimization.
EURO J. Comput. Optim., 2022
PersA-FL: Personalized Asynchronous Federated Learning.
CoRR, 2022
2021
Development of a Finger-Ring-Shaped Hybrid Smart Stethoscope for Automatic S1 and S2 Heart Sound Identification.
Sensors, 2021
A dual approach for optimal algorithms in distributed optimization over networks.
Optim. Methods Softw., 2021
Select, Extract and Generate: Neural Keyphrase Generation with Layer-wise Coverage Attention.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021
2020
Distributed Constrained Online Learning.
IEEE Trans. Signal Process., 2020
Communication-efficient algorithms for decentralized and stochastic optimization.
Math. Program., 2020
Select, Extract and Generate: Neural Keyphrase Generation with Syntactic Guidance.
CoRR, 2020
2019
Online Social Touch Pattern Recognition with Multi-modal-sensing Modular Tactile Interface.
Proceedings of the 16th International Conference on Ubiquitous Robots, 2019
Constrained Online Learning in Networks with Sublinear Regret and Fit.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019
The Implementation of MiRO, a Media-as-Place Computer Game.
Proceedings of the Companion Publication of the 2019 on Designing Interactive Systems Conference, 2019
2018
Coordinate Dual Averaging for Decentralized Online Optimization With Nonseparable Global Objectives.
IEEE Trans. Control. Netw. Syst., 2018
Approximate Projection Methods for Decentralized Optimization With Functional Constraints.
IEEE Trans. Autom. Control., 2018
Complexity Certification of a Distributed Augmented Lagrangian Method.
IEEE Trans. Autom. Control., 2018
Distributed Active State Estimation With User-Specified Accuracy.
IEEE Trans. Autom. Control., 2018
Shelly, a Tortoise-Like Robot for One-to-Many Interaction with Children.
Proceedings of the Companion of the 2018 ACM/IEEE International Conference on Human-Robot Interaction, 2018
Designing Shelly, a Robot Capable of Assessing and Restraining Children's Robot Abusing Behaviors.
Proceedings of the Companion of the 2018 ACM/IEEE International Conference on Human-Robot Interaction, 2018
2017
Stochastic Dual Averaging for Decentralized Online Optimization on Time-Varying Communication Graphs.
IEEE Trans. Autom. Control., 2017
NPCARE: database of natural products and fractional extracts for cancer regulation.
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J. Cheminformatics, 2017
Optimal Algorithms for Distributed Optimization.
CoRR, 2017
A distributed augmented Lagrangian method for model predictive control.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017
2016
Asynchronous Gossip-Based Random Projection Algorithms Over Networks.
IEEE Trans. Autom. Control., 2016
Approximate projections for decentralized optimization with SDP constraints.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016
Distributed continuous-time online optimization using saddle-point methods.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016
Distributed estimation and control for robotic sensor networks.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016
Distributed primal-dual methods for online constrained optimization.
Proceedings of the 2016 American Control Conference, 2016
2015
Decentralized online optimization with global objectives and local communication.
Proceedings of the American Control Conference, 2015
2014
On Stochastic Subgradient Mirror-Descent Algorithm with Weighted Averaging.
SIAM J. Optim., 2014
2013
Optimization over networks: Efficient algorithms and analysis
PhD thesis, 2013
Distributed Random Projection Algorithm for Convex Optimization.
IEEE J. Sel. Top. Signal Process., 2013
Distributed mini-batch random projection algorithms for reduced communication overhead.
Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013
Gossip-based random projection algorithm for distributed optimization: Error bound.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013
Epoch gradient descent for smoothed hinge-loss linear SVMs.
Proceedings of the American Control Conference, 2013
2012
DrSVM: Distributed random projection algorithms for SVMs.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012
2008
Finding Good Starting Points for Solving Nonlinear Constrained Optimization Problems by Parallel Decomposition.
Proceedings of the MICAI 2008: Advances in Artificial Intelligence, 2008
Finding Good Starting Points for Solving Structured and Unstructured Nonlinear Constrained Optimization Problems.
Proceedings of the 20th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2008), 2008
2007
Hypergraph Partitioning for Exploiting Localities in Nonlinear Constrained Optimization.
Proceedings of the 19th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2007), 2007