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Pengqian Yu
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2020 – today
- 2022
- [c8]Xinhan Di, Pengqian Yu
:
LWA-HAND: Lightweight Attention Hand for Interacting Hand Reconstruction. ECCV Workshops (3) 2022: 722-738 - [c7]Achintya Kundu, Pengqian Yu, Laura Wynter, Shiau Hong Lim:
Robustness and Personalization in Federated Learning: A Unified Approach via Regularization. EDGE 2022: 1-11 - [p2]Pengqian Yu, Achintya Kundu, Laura Wynter, Shiau Hong Lim:
Personalized, Robust Federated Learning with Fed+. Federated Learning 2022: 99-123 - [p1]Pengqian Yu, Laura Wynter, Shiau Hong Lim:
Federated Reinforcement Learning for Portfolio Management. Federated Learning 2022: 467-482 - [i18]Xinhan Di, Pengqian Yu:
LWA-HAND: Lightweight Attention Hand for Interacting Hand Reconstruction. CoRR abs/2208.09815 (2022) - [i17]Xinhan Di, Pengqian Yu:
Hierarchical Reinforcement Learning for Furniture Layout in Virtual Indoor Scenes. CoRR abs/2210.10431 (2022) - 2021
- [i16]Xinhan Di, Pengqian Yu:
Deep Reinforcement Learning for Producing Furniture Layout in Indoor Scenes. CoRR abs/2101.07462 (2021) - [i15]Xinhan Di, Pengqian Yu:
Multi-Agent Reinforcement Learning of 3D Furniture Layout Simulation in Indoor Graphics Scenes. CoRR abs/2102.09137 (2021) - 2020
- [j4]William B. Haskell
A Universal Empirical Dynamic Programming Algorithm for Continuous State MDPs. IEEE Trans. Autom. Control. 65(1): 115-129 (2020) - [c6]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: 455-468 - [c5]Xinhan Di, Pengqian Yu, Rui Bu, Mingchao Sun:
Mutual Information Maximization in Graph Neural Networks. IJCNN 2020: 1-7 - [i14]Xinhan Di, Pengqian Yu, Hong Zhu, Lei Cai, Qiuyan Sheng, Changyu Sun:
Towards Adversarial Planning for Indoor Scenes with Rotation. CoRR abs/2006.13527 (2020) - [i13]Xinhan Di, Pengqian Yu, Hong Zhu, Lei Cai, Qiuyan Sheng, Changyu Sun:
Structural Plan of Indoor Scenes with Personalized Preferences. CoRR abs/2008.01323 (2020) - [i12]Pengqian Yu, Laura Wynter, Shiau Hong Lim:
Fed+: A Family of Fusion Algorithms for Federated Learning. CoRR abs/2009.06303 (2020) - [i11]Xinhan Di, Pengqian Yu, Danfeng Yang, Hong Zhu, Changyu Sun, YinDong Liu:
Deep Layout of Custom-size Furniture through Multiple-domain Learning. CoRR abs/2012.08131 (2020) - [i10]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 abs/2012.08514 (2020)
2010 – 2019
- 2019
- [i9]Pengqian Yu, Joon Sern Lee, Ilya Kulyatin, Zekun Shi, Sakyasingha Dasgupta:
Model-based Deep Reinforcement Learning for Dynamic Portfolio Optimization. CoRR abs/1901.08740 (2019) - [i8]Xinhan Di, Pengqian Yu, Mingchao Sun, Rui Bu:
Neighborhood Enlargement in Graph Neural Networks. CoRR abs/1905.08509 (2019) - 2018
- [j3]Xiaoyu Tan
Robust path planning for flexible needle insertion using Markov decision processes. Int. J. Comput. Assist. Radiol. Surg. 13(9): 1439-1451 (2018) - [j2]Pengqian Yu
Approximate Value Iteration for Risk-Aware Markov Decision Processes. IEEE Trans. Autom. Control. 63(9): 3135-3142 (2018) - [i7]Zhi Chen, Pengqian Yu, William B. Haskell:
Distributionally Robust Optimization for Sequential Decision Making. CoRR abs/1801.04745 (2018) - [i6]Xinhan Di, Pengqian Yu, Meng Tian:
Towards Adversarial Training with Moderate Performance Improvement for Neural Network Classification. CoRR abs/1807.00340 (2018) - [i5]Xinhan Di, Pengqian Yu, Meng Tian:
Ambient Hidden Space of Generative Adversarial Networks. CoRR abs/1807.00780 (2018) - 2017
- [c4]William B. Haskell, Pengqian Yu, Hiteshi Sharma, Rahul Jain
Randomized function fitting-based empirical value iteration. CDC 2017: 2467-2472 - [c3]Pengqian Yu, William B. Haskell, Huan Xu:
Dynamic programming for risk-aware sequential optimization. CDC 2017: 4934-4939 - [c2]Xinhan Di, Pengqian Yu:
Max-Boost-GAN: Max Operation to Boost Generative Ability of Generative Adversarial Networks. ICCV Workshops 2017: 1156-1164 - [c1]Xinhan Di, Pengqian Yu:
Multiplicative Noise Channel in Generative Adversarial Networks. ICCV Workshops 2017: 1165-1172 - [i4]Pengqian Yu, William B. Haskell, Huan Xu:
Approximate Value Iteration for Risk-aware Markov Decision Processes. CoRR abs/1701.01290 (2017) - [i3]Xinhan Di, Pengqian Yu:
3D Reconstruction of Simple Objects from A Single View Silhouette Image. CoRR abs/1701.04752 (2017) - 2016
- [j1]Pengqian Yu
Distributionally Robust Counterpart in Markov Decision Processes. IEEE Trans. Autom. Control. 61(9): 2538-2543 (2016) - 2015
- [i2]Pengqian Yu, Huan Xu:
Distributionally Robust Counterpart in Markov Decision Processes. CoRR abs/1501.07418 (2015) - [i1]Pengqian Yu, Jia Yuan Yu, Huan Xu:
Central-limit approach to risk-aware Markov decision processes. CoRR abs/1512.00583 (2015)
Coauthor Index
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