Wang, Weijia

9 publications

ICLR 2025 VVC-Gym: A Fixed-Wing UAV Reinforcement Learning Environment for Multi-Goal Long-Horizon Problems Xudong Gong, Feng Dawei, Kele Xu, Weijia Wang, Zhangjun Sun, Xing Zhou, Si Zheng, Bo Ding, Huaimin Wang

ICML 2024 Iterative Regularized Policy Optimization with Imperfect Demonstrations Gong Xudong, Feng Dawei, Kele Xu, Yuanzhao Zhai, Chengkang Yao, Weijia Wang, Bo Ding, Huaimin Wang

AAAI 2023 Efficient Distribution Similarity Identification in Clustered Federated Learning via Principal Angles Between Client Data Subspaces Saeed Vahidian, Mahdi Morafah, Weijia Wang, Vyacheslav Kungurtsev, Chen Chen, Mubarak Shah, Bill Lin

ICCV 2023 When Do Curricula Work in Federated Learning? Saeed Vahidian, Sreevatsank Kadaveru, Woonjoon Baek, Weijia Wang, Vyacheslav Kungurtsev, Chen Chen, Mubarak Shah, Bill Lin

NeurIPSW 2022 FLIS: Clustered Federated Learning via Inference Similarity for Non-IID Data Distribution Saeed Vahidian, Mahdi Morafah, Weijia Wang, Bill Lin

AAAI 2021 Learning Accurate and Interpretable Decision Rule Sets from Neural Networks Litao Qiao, Weijia Wang, Bill Lin

ICLR 2021 Unsupervised Meta-Learning Through Latent-Space Interpolation in Generative Models Siavash Khodadadeh, Sharare Zehtabian, Saeed Vahidian, Weijia Wang, Bill Lin, Ladislau Boloni

MLJ 2013 Hypervolume Indicator and Dominance Reward Based Multi-Objective Monte-Carlo Tree Search Weijia Wang, Michèle Sebag

ACML 2012 Multi-Objective Monte-Carlo Tree Search Weijia Wang, Michèle Sebag