Pengqian Yu

Publication Activity (10 Years)

Years Active: 2015-2022
Publications (10 Years): 28

Top Topics

Dynamic Programming

Robust Optimization

Markov Decision Process

Top Venues

IEEE Trans. Autom. Control.

Publications

Xinhan Di, Pengqian Yu
Hierarchical Reinforcement Learning for Furniture Layout in Virtual Indoor Scenes. CoRR (2022)
Xinhan Di, Pengqian Yu
LWA-HAND: Lightweight Attention Hand for Interacting Hand Reconstruction. ECCV Workshops (3) (2022)
Xinhan Di, Pengqian Yu
LWA-HAND: Lightweight Attention Hand for Interacting Hand Reconstruction. CoRR (2022)
Achintya Kundu, Pengqian Yu, Laura Wynter, Shiau Hong Lim
Robustness and Personalization in Federated Learning: A Unified Approach via Regularization. EDGE (2022)
Xinhan Di, Pengqian Yu
Multi-Agent Reinforcement Learning of 3D Furniture Layout Simulation in Indoor Graphics Scenes. CoRR (2021)
Xinhan Di, Pengqian Yu
Deep Reinforcement Learning for Producing Furniture Layout in Indoor Scenes. CoRR (2021)
Pengqian Yu, Laura Wynter, Shiau Hong Lim
Fed+: A Family of Fusion Algorithms for Federated Learning. CoRR (2020)
Xinhan Di, Pengqian Yu, Hong Zhu, Lei Cai, Qiuyan Sheng, Changyu Sun, Ling-Qiang Ran
Structural Plan of Indoor Scenes with Personalized Preferences. ECCV Workshops (4) (2020)
Xinhan Di, Pengqian Yu, Hong Zhu, Lei Cai, Qiuyan Sheng, Changyu Sun
Structural Plan of Indoor Scenes with Personalized Preferences. CoRR (2020)
Xinhan Di, Pengqian Yu, Danfeng Yang, Hong Zhu, Changyu Sun, YinDong Liu
Deep Layout of Custom-size Furniture through Multiple-domain Learning. CoRR (2020)
Xinhan Di, Pengqian Yu, Hong Zhu, Lei Cai, Qiuyan Sheng, Changyu Sun
Towards Adversarial Planning for Indoor Scenes with Rotation. CoRR (2020)
William B. Haskell, Rahul Jain, Hiteshi Sharma, Pengqian Yu
A Universal Empirical Dynamic Programming Algorithm for Continuous State MDPs. IEEE Trans. Autom. Control. 65 (1) (2020)
Xinhan Di, Pengqian Yu, Rui Bu, Mingchao Sun
Mutual Information Maximization in Graph Neural Networks. IJCNN (2020)
Xinhan Di, Pengqian Yu, Danfeng Yang, Hong Zhu, Changyu Sun, YinDong Liu
End-to-end Generative Floor-plan and Layout with Attributes and Relation Graph. CoRR (2020)
Xinhan Di, Pengqian Yu, Mingchao Sun, Rui Bu
Neighborhood Enlargement in Graph Neural Networks. CoRR (2019)
Pengqian Yu, Joon Sern Lee, Ilya Kulyatin, Zekun Shi, Sakyasingha Dasgupta
Model-based Deep Reinforcement Learning for Dynamic Portfolio Optimization. CoRR (2019)
Xinhan Di, Pengqian Yu, Meng Tian
Ambient Hidden Space of Generative Adversarial Networks. CoRR (2018)
Pengqian Yu, William B. Haskell, Huan Xu
Approximate Value Iteration for Risk-Aware Markov Decision Processes. IEEE Trans. Autom. Control. 63 (9) (2018)
Zhi Chen, Pengqian Yu, William B. Haskell
Distributionally Robust Optimization for Sequential Decision Making. CoRR (2018)
Xinhan Di, Pengqian Yu, Meng Tian
Towards Adversarial Training with Moderate Performance Improvement for Neural Network Classification. CoRR (2018)
Xiaoyu Tan, Pengqian Yu, Kah-Bin Lim, Chee-Kong Chui
Robust path planning for flexible needle insertion using Markov decision processes. Int. J. Comput. Assist. Radiol. Surg. 13 (9) (2018)
Xinhan Di, Pengqian Yu
Multiplicative Noise Channel in Generative Adversarial Networks. ICCV Workshops (2017)
Pengqian Yu, William B. Haskell, Huan Xu
Dynamic programming for risk-aware sequential optimization. CDC (2017)
Pengqian Yu, William B. Haskell, Huan Xu
Approximate Value Iteration for Risk-aware Markov Decision Processes. CoRR (2017)
William B. Haskell, Pengqian Yu, Hiteshi Sharma, Rahul Jain
Randomized function fitting-based empirical value iteration. CDC (2017)
Xinhan Di, Pengqian Yu
3D Reconstruction of Simple Objects from A Single View Silhouette Image. CoRR (2017)
Xinhan Di, Pengqian Yu
Max-Boost-GAN: Max Operation to Boost Generative Ability of Generative Adversarial Networks. ICCV Workshops (2017)
Pengqian Yu, Huan Xu
Distributionally Robust Counterpart in Markov Decision Processes. IEEE Trans. Autom. Control. 61 (9) (2016)
Pengqian Yu, Huan Xu
Distributionally Robust Counterpart in Markov Decision Processes. CoRR (2015)
Pengqian Yu, Jia Yuan Yu, Huan Xu
Central-limit approach to risk-aware Markov decision processes. CoRR (2015)