Yichen Chen

Orcid: 0000-0002-6290-5652

According to our database1, Yichen Chen authored at least 23 papers between 2014 and 2024.

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Bibliography

2024
Recent methodological advances in federated learning for healthcare.
Patterns, 2024

360ORB-SLAM: A Visual SLAM System for Panoramic Images with Depth Completion Network.
Proceedings of the 27th International Conference on Computer Supported Cooperative Work in Design, 2024

2023
Recent Methodological Advances in Federated Learning for Healthcare.
CoRR, 2023

Digital Twin Tracking Dataset (DTTD): A New RGB+Depth 3D Dataset for Longer-Range Object Tracking Applications.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Snowfall Microphysics Characterized by PARSIVEL Disdrometer Observations in Beijing from 2020 to 2022.
Remote. Sens., December, 2022

Analyses of DSD Vertical Evolution and Rain Variation Mechanism in Stratiform Cloud Cases Using Micro Rain Radar.
Remote. Sens., 2022

Characteristics of Summer Hailstorms Observed by Radar and Himawari-8 in Beijing, China.
Remote. Sens., 2022

2021
Hydrometeor Classification of Winter Precipitation in Northern China Based on Multi-Platform Radar Observation System.
Remote. Sens., 2021

2020
On the Complexity of Markov Decision Problems
PhD thesis, 2020

Towards a Framework for Automatic Firewalls Configuration via Argumentation Reasoning.
Proceedings of the NOMS 2020, 2020

2019
Approximation Hardness for A Class of Sparse Optimization Problems.
J. Mach. Learn. Res., 2019

Adjustments of multi-sample U-statistics to right censored data and confounding covariates.
Comput. Stat. Data Anal., 2019

2018
Scalable Bilinear π Learning Using State and Action Features.
CoRR, 2018

Fully Decentralized Authentication and Revocation Scheme in Data Sharing Systems.
Proceedings of the 17th IEEE International Conference On Trust, 2018

Scalable Bilinear Learning Using State and Action Features.
Proceedings of the 35th International Conference on Machine Learning, 2018

2017
Lower Bound On the Computational Complexity of Discounted Markov Decision Problems.
CoRR, 2017

Strong NP-Hardness for Sparse Optimization with Concave Penalty Functions.
Proceedings of the 34th International Conference on Machine Learning, 2017

2016
An Improved Method of Genetic Algorithm to Solve the Variable Speed Limit Problem with Constraint Conditions.
Int. J. Online Eng., 2016

Stochastic Primal-Dual Methods and Sample Complexity of Reinforcement Learning.
CoRR, 2016

An online primal-dual method for discounted Markov decision processes.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

2015
Random Multi-Constraint Projection: Stochastic Gradient Methods for Convex Optimization with Many Constraints.
CoRR, 2015

2014
POLA: A privacy-preserving protocol for location-based real-time advertising.
Proceedings of the IEEE 33rd International Performance Computing and Communications Conference, 2014

Conventionalizing Common Sense for Chinese Textual Entailment Recognition.
Proceedings of the Chinese Lexical Semantics - 15th Workshop, 2014


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