no code implementations • 6 Nov 2023 • Jianwei Zuo, Fei Feng, Zhuhui Wang, James A. Ashton-Miller, John O. L. Delancey, Jiajia Luo
Recently, deep learning-enabled semantic segmentation has facilitated the three-dimensional geometric reconstruction of pelvic floor organs, providing clinicians with accurate and intuitive diagnostic results.
no code implementations • 25 Aug 2022 • Fei Feng, Yifan Zhou, Peng Zhang
We devise neuro-dynamic state estimation (Neuro-DSE), a learning-based dynamic state estimation (DSE) algorithm for networked microgrids (NMs) under unknown subsystems.
no code implementations • 19 Nov 2021 • Fei Feng, Siqi Liang, Sung-Liang Chen
The algorithm consists of a Fourier accumulation SAFT (FA-SAFT) and a directional model-based (D-MB) deconvolution method.
1 code implementation • 22 Mar 2021 • Fei Feng, Wotao Yin, Alekh Agarwal, Lin F. Yang
Policy optimization methods remain a powerful workhorse in empirical Reinforcement Learning (RL), with a focus on neural policies that can easily reason over complex and continuous state and/or action spaces.
1 code implementation • NeurIPS 2020 • Fei Feng, Ruosong Wang, Wotao Yin, Simon S. Du, Lin F. Yang
Motivated by the prevailing paradigm of using unsupervised learning for efficient exploration in reinforcement learning (RL) problems [tang2017exploration, bellemare2016unifying], we investigate when this paradigm is provably efficient.
no code implementations • 24 Dec 2019 • Fei Feng, Xiao-Jun Wu, Tianyang Xu, Josef Kittler, Xue-Feng Zhu
In the response map obtained for the previous frame by the CF algorithm, we adaptively find the image blocks that are similar to the target and use them as negative samples.
no code implementations • 6 Dec 2019 • Fei Feng, Wotao Yin, Lin F. Yang
In particular, we provide an algorithm that uses $\widetilde{O}(N/(1-\gamma)^3/\varepsilon^2)$ samples in a generative model to learn an $\varepsilon$-optimal policy, where $\gamma$ is the discount factor and $N$ is the number of near-optimal actions in the approximate model.
no code implementations • 2 Jul 2019 • Fei Feng, Jiajia Luo
To address this difficult problem, we presented a novel network structure which embedded dilated pyramid pooling block in the skip connections between networks' encoding and decoding stage.
no code implementations • ICLR 2019 • Robert Hannah, Fei Feng, Wotao Yin
In this paper, we propose the Asynchronous Accelerated Nonuniform Randomized Block Coordinate Descent algorithm (A2BCD).
1 code implementation • 3 Dec 2018 • Yibo Zeng, Fei Feng, Wotao Yin
In this paper, we propose AsyncQVI, an asynchronous-parallel Q-value iteration for discounted Markov decision processes whose transition and reward can only be sampled through a generative model.