Pengqian Yu

Orcid: 0000-0002-4660-6679

According to our database1, Pengqian Yu authored at least 29 papers between 2015 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2022
Hierarchical Reinforcement Learning for Furniture Layout in Virtual Indoor Scenes.
CoRR, 2022

Robustness and Personalization in Federated Learning: A Unified Approach via Regularization.
Proceedings of the IEEE International Conference on Edge Computing and Communications, 2022

LWA-HAND: Lightweight Attention Hand for Interacting Hand Reconstruction.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

Federated Reinforcement Learning for Portfolio Management.
Proceedings of the Federated Learning, 2022

Personalized, Robust Federated Learning with Fed+.
Proceedings of the Federated Learning, 2022

2021
Multi-Agent Reinforcement Learning of 3D Furniture Layout Simulation in Indoor Graphics Scenes.
CoRR, 2021

Deep Reinforcement Learning for Producing Furniture Layout in Indoor Scenes.
CoRR, 2021

2020
A Universal Empirical Dynamic Programming Algorithm for Continuous State MDPs.
IEEE Trans. Autom. Control., 2020

End-to-end Generative Floor-plan and Layout with Attributes and Relation Graph.
CoRR, 2020

Deep Layout of Custom-size Furniture through Multiple-domain Learning.
CoRR, 2020

Fed+: A Family of Fusion Algorithms for Federated Learning.
CoRR, 2020

Structural Plan of Indoor Scenes with Personalized Preferences.
CoRR, 2020

Towards Adversarial Planning for Indoor Scenes with Rotation.
CoRR, 2020

Mutual Information Maximization in Graph Neural Networks.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Structural Plan of Indoor Scenes with Personalized Preferences.
Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

2019
Neighborhood Enlargement in Graph Neural Networks.
CoRR, 2019

Model-based Deep Reinforcement Learning for Dynamic Portfolio Optimization.
CoRR, 2019

2018
Approximate Value Iteration for Risk-Aware Markov Decision Processes.
IEEE Trans. Autom. Control., 2018

Ambient Hidden Space of Generative Adversarial Networks.
CoRR, 2018

Towards Adversarial Training with Moderate Performance Improvement for Neural Network Classification.
CoRR, 2018

Distributionally Robust Optimization for Sequential Decision Making.
CoRR, 2018

Robust path planning for flexible needle insertion using Markov decision processes.
Int. J. Comput. Assist. Radiol. Surg., 2018

2017
3D Reconstruction of Simple Objects from A Single View Silhouette Image.
CoRR, 2017

Multiplicative Noise Channel in Generative Adversarial Networks.
Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

Max-Boost-GAN: Max Operation to Boost Generative Ability of Generative Adversarial Networks.
Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

Dynamic programming for risk-aware sequential optimization.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

Randomized function fitting-based empirical value iteration.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

2016
Distributionally Robust Counterpart in Markov Decision Processes.
IEEE Trans. Autom. Control., 2016

2015
Central-limit approach to risk-aware Markov decision processes.
CoRR, 2015


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