Pengqian Yu

CoRR, 2022

Robustness and Personalization in Federated Learning: A Unified Approach via Regularization.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Edge Computing and Communications, 2022

LWA-HAND: Lightweight Attention Hand for Interacting Hand Reconstruction.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

Federated Reinforcement Learning for Portfolio Management.

[BibT_eX]

[DOI]

Laura Wynter

Shiau Hong Lim

Proceedings of the Federated Learning, 2022

Personalized, Robust Federated Learning with Fed+.

[BibT_eX]

[DOI]

Proceedings of the Federated Learning, 2022

2021

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

[BibT_eX]

[DOI]

CoRR, 2021

Deep Reinforcement Learning for Producing Furniture Layout in Indoor Scenes.

[BibT_eX]

[DOI]

CoRR, 2021

2020

A Universal Empirical Dynamic Programming Algorithm for Continuous State MDPs.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2020

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

[BibT_eX]

[DOI]

CoRR, 2020

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

[BibT_eX]

[DOI]

CoRR, 2020

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

[BibT_eX]

[DOI]

Laura Wynter

Shiau Hong Lim

CoRR, 2020

Structural Plan of Indoor Scenes with Personalized Preferences.

[BibT_eX]

[DOI]

CoRR, 2020

Towards Adversarial Planning for Indoor Scenes with Rotation.

[BibT_eX]

[DOI]

CoRR, 2020

Mutual Information Maximization in Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Structural Plan of Indoor Scenes with Personalized Preferences.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

2019

Neighborhood Enlargement in Graph Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2019

Model-based Deep Reinforcement Learning for Dynamic Portfolio Optimization.

[BibT_eX]

[DOI]

CoRR, 2019

2018

Approximate Value Iteration for Risk-Aware Markov Decision Processes.

[BibT_eX]

[DOI]

William B. Haskell

IEEE Trans. Autom. Control., 2018

Ambient Hidden Space of Generative Adversarial Networks.

[BibT_eX]

[DOI]

Meng Tian

CoRR, 2018

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

[BibT_eX]

[DOI]

Meng Tian

CoRR, 2018

Distributionally Robust Optimization for Sequential Decision Making.

[BibT_eX]

[DOI]

Zhi Chen

William B. Haskell

CoRR, 2018

Robust path planning for flexible needle insertion using Markov decision processes.

[BibT_eX]

[DOI]

Int. J. Comput. Assist. Radiol. Surg., 2018

2017

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

[BibT_eX]

[DOI]

CoRR, 2017

Multiplicative Noise Channel in Generative Adversarial Networks.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

Dynamic programming for risk-aware sequential optimization.

[BibT_eX]

[DOI]

William B. Haskell

Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

Randomized function fitting-based empirical value iteration.

[BibT_eX]

[DOI]

Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

2016

Distributionally Robust Counterpart in Markov Decision Processes.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2016

2015

Central-limit approach to risk-aware Markov decision processes.

[BibT_eX]

[DOI]

Jia Yuan Yu