Central-limit approach to risk-aware Markov decision processes. - Pengqian Yu; Jia Yuan Yu; Huan Xu (CoRR, 2015)

Distributionally Robust Counterpart in Markov Decision Processes. - Pengqian Yu; Huan Xu (IEEE Trans. Autom. Control., 2016)

Randomized function fitting-based empirical value iteration. - William B. Haskell 001; Pengqian Yu; Hiteshi Sharma; Rahul Jain 002 (CDC, 2017)

Dynamic programming for risk-aware sequential optimization. - Pengqian Yu; William B. Haskell 001; Huan Xu 001 (CDC, 2017)

Max-Boost-GAN: Max Operation to Boost Generative Ability of Generative Adversarial Networks. - Xinhan Di; Pengqian Yu (ICCV Workshops, 2017)

Multiplicative Noise Channel in Generative Adversarial Networks. - Xinhan Di; Pengqian Yu (ICCV Workshops, 2017)

3D Reconstruction of Simple Objects from A Single View Silhouette Image. - Xinhan Di; Pengqian Yu (CoRR, 2017)

Robust path planning for flexible needle insertion using Markov decision processes. - Xiaoyu Tan; Pengqian Yu; Kah-Bin Lim 001; Chee-Kong Chui (Int. J. Comput. Assist. Radiol. Surg., 2018)

Distributionally Robust Optimization for Sequential Decision Making. - Zhi Chen; Pengqian Yu; William B. Haskell 001 (CoRR, 2018)

Towards Adversarial Training with Moderate Performance Improvement for Neural Network Classification. - Xinhan Di; Pengqian Yu; Meng Tian (CoRR, 2018)

Ambient Hidden Space of Generative Adversarial Networks. - Xinhan Di; Pengqian Yu; Meng Tian (CoRR, 2018)

Approximate Value Iteration for Risk-Aware Markov Decision Processes. - Pengqian Yu; William B. Haskell 001; Huan Xu 001 (IEEE Trans. Autom. Control., 2018)

Model-based Deep Reinforcement Learning for Dynamic Portfolio Optimization. - Pengqian Yu; Joon Sern Lee; Ilya Kulyatin; Zekun Shi; Sakyasingha Dasgupta (CoRR, 2019)

Neighborhood Enlargement in Graph Neural Networks. - Xinhan Di; Pengqian Yu; Mingchao Sun; Rui Bu (CoRR, 2019)

Structural Plan of Indoor Scenes with Personalized Preferences. - Xinhan Di; Pengqian Yu; Hong Zhu; Lei Cai; Qiuyan Sheng; Changyu Sun; Ling-Qiang Ran (ECCV Workshops (4), 2020)

Mutual Information Maximization in Graph Neural Networks. - Xinhan Di; Pengqian Yu; Rui Bu; Mingchao Sun (IJCNN, 2020)

Towards Adversarial Planning for Indoor Scenes with Rotation. - Xinhan Di; Pengqian Yu; Hong Zhu; Lei Cai; Qiuyan Sheng; Changyu Sun (CoRR, 2020)

Structural Plan of Indoor Scenes with Personalized Preferences. - Xinhan Di; Pengqian Yu; Hong Zhu; Lei Cai; Qiuyan Sheng; Changyu Sun (CoRR, 2020)

Fed+: A Family of Fusion Algorithms for Federated Learning. - Pengqian Yu; Laura Wynter; Shiau Hong Lim (CoRR, 2020)

Deep Layout of Custom-size Furniture through Multiple-domain Learning. - Xinhan Di; Pengqian Yu; Danfeng Yang; Hong Zhu; Changyu Sun; YinDong Liu (CoRR, 2020)

End-to-end Generative Floor-plan and Layout with Attributes and Relation Graph. - Xinhan Di; Pengqian Yu; Danfeng Yang; Hong Zhu; Changyu Sun; YinDong Liu (CoRR, 2020)

A Universal Empirical Dynamic Programming Algorithm for Continuous State MDPs. - William B. Haskell 001; Rahul Jain 002; Hiteshi Sharma; Pengqian Yu (IEEE Trans. Autom. Control., 2020)

Deep Reinforcement Learning for Producing Furniture Layout in Indoor Scenes. - Xinhan Di; Pengqian Yu (CoRR, 2021)

Multi-Agent Reinforcement Learning of 3D Furniture Layout Simulation in Indoor Graphics Scenes. - Xinhan Di; Pengqian Yu (CoRR, 2021)

Personalized, Robust Federated Learning with Fed+. - Pengqian Yu; Achintya Kundu; Laura Wynter; Shiau Hong Lim (Federated Learning, 2022)

Federated Reinforcement Learning for Portfolio Management. - Pengqian Yu; Laura Wynter; Shiau Hong Lim (Federated Learning, 2022)

LWA-HAND: Lightweight Attention Hand for Interacting Hand Reconstruction. - Xinhan Di; Pengqian Yu (ECCV Workshops (3), 2022)

Robustness and Personalization in Federated Learning: A Unified Approach via Regularization. - Achintya Kundu; Pengqian Yu; Laura Wynter; Shiau Hong Lim (EDGE, 2022)

Hierarchical Reinforcement Learning for Furniture Layout in Virtual Indoor Scenes. - Xinhan Di; Pengqian Yu (CoRR, 2022)

JWB-DH-V1: Benchmark for Joint Whole-Body Talking Avatar and Speech Generation Version 1. - Xinhan Di; Kristin Qi; Pengqian Yu (CoRR, 2025)