no code implementations • 27 Aug 2023 • Chen Shen, Jun Zhang, Xinggong Liang, Zeyi Hao, Kehan Li, Fan Wang, Zhenyuan Wang, Chunfeng Lian
Forensic pathology is critical in analyzing death manner and time from the microscopic aspect to assist in the establishment of reliable factual bases for criminal investigation.
1 code implementation • 8 Aug 2023 • Pochuan Wang, Chen Shen, Weichung Wang, Masahiro Oda, Chiou-Shann Fuh, Kensaku MORI, Holger R. Roth
Federated learning (FL) is a key technology enabling the collaborative development of a model without exchanging training data.
no code implementations • 7 Jul 2023 • Dongsheng Li, Chen Shen
In this paper, a three-machine equivalent method applicable to asymmetrical faults is proposed considering the operating wind speed and fault severity.
no code implementations • 3 Jul 2023 • Qianni Cao, Chen Shen
Under frequency load shedding (UFLS) constitutes the very last resort for preventing total blackouts and cascading events.
no code implementations • 12 May 2023 • Junjie Liu, Junlong Liu, Rongxin Jiang, Yaowu Chen, Chen Shen, Jieping Ye
Then, SLS-MPC proposes a novel self-learning probability function without any prior knowledge and hyper-parameters to learn each view's individual distribution.
no code implementations • 23 Apr 2023 • Zhongyu Yang, Chen Shen, Wei Shao, Tengfei Xing, Runbo Hu, Pengfei Xu, Hua Chai, Ruini Xue
A lane instance is first responded by the heat-map on the U-shaped curved guide line at global semantic level, thus the corresponding features of each lane are aggregated at the response point.
Ranked #1 on
Lane Detection
on CurveLanes
(Recall metric)
no code implementations • 17 Apr 2023 • Tannan Xiao, Ying Chen, Han Diao, Shaowei Huang, Chen Shen
However, three typical issues seriously affect the training efficiency and the performance of the dispatch agent, namely, the difficulty of quantifying the transient instability level, the high dimensionality of the state space and action space, and the frequent generation of actions that correspond to non-convergent power flows during the early training stage.
no code implementations • 11 Feb 2023 • Zetian Zheng, Shaowei Huang, Jun Yan, Qiangsheng Bu, Chen Shen, Mingzhong Zheng, Ye Liu
The oscillation phenomena associated with the control of voltage source converters (VSCs) are widely concerning, and locating the source of these oscillations is crucial to suppressing them; therefore, this paper presents a locating scheme, based on the energy structure and nonlinearity detection.
no code implementations • 12 Jan 2023 • Chen Shen, Zhao Song, Lei Shi, Jun Tanimoto, Zhen Wang
Altruistic punishment, where individuals incur personal costs to punish others who have harmed third parties, presents an evolutionary conundrum as it undermines individual fitness.
no code implementations • 1 Dec 2022 • Ye Liu, Chen Shen
First, an equivalent-scenario-based method is proposed to evaluate the equivalent inertia provided by the droop control, which shows that the droop control with a constant droop coefficient provides time-variant equivalent inertia.
no code implementations • 23 Nov 2022 • Dongsheng Li, Chen Shen, Ye Liu, Ying Chen, Shaowei Huang
In order to reduce the complexity of simulation of power systems including large-scale wind farms, it is critical to develop dynamic equivalent methods for wind farms which are applicable to the expected contingency analysis.
no code implementations • 6 Nov 2022 • Qianni Cao, Boda Li, Mengshuo Jia, Chen Shen
Hydrogen, an essential resource in the decarbonized economy, is commonly produced as a by-product of chemical plants.
no code implementations • 6 Nov 2022 • Qianni Cao, Ye Liu, Chen Shen
This paper develops a fully data-driven linear quadratic regulator (LQR) for the HVDC to provide temporal frequency support.
no code implementations • 17 Oct 2022 • Zetian Zheng, Chen Shen
This paper focuses on the voltage source converter (VSC) control systems in wind farms and tries to detect the nonlinear behavior caused by the bilateral or unilateral saturation hard limits based on HOS analysis.
no code implementations • 14 Oct 2022 • Ye Liu, Chen Shen, Zhaojian Wang
Both of these two control laws can guarantee transient stability constraints, restore system frequency and achieve the defined optimal control objective.
1 code implementation • 25 Jul 2022 • Yingjie Chen, Huasong Zhong, Chong Chen, Chen Shen, Jianqiang Huang, Tao Wang, Yun Liang, Qianru Sun
Face clustering is a promising way to scale up face recognition systems using large-scale unlabeled face images.
no code implementations • 28 May 2022 • Ye Liu, Chen Shen, Zhaojian Wang, Feng Liu
In multi-infeed hybrid AC-DC (MIDC) systems, the emergency frequency control (EFC) with LCC-HVDC systems participating is of vital importance for system frequency stability.
no code implementations • 28 Feb 2022 • Mengshuo Jia, Gabriela Hug, Yifan Su, Chen Shen
Given the increased percentage of wind power in power systems, chance-constrained optimal power flow (CC-OPF) calculation, as a means to take wind power uncertainty into account with a guaranteed security level, is being promoted.
no code implementations • 28 Feb 2022 • Mengshuo Jia, Qianni Cao, Chen Shen, Gabriela Hug
This method is based on a high-precision linear power flow model, whose precision is even further improved in this paper by an original correction approach.
no code implementations • 9 Feb 2022 • Chen Shen, Yi Liu, Wenzhi Fan, Bin Wang, Shixue Wen, Yao Tian, Jun Zhang, Jingsheng Yang, Zejun Ma
For Track 1, we propose several approaches to empower the clustering-based speaker diarization system to handle overlapped speech.
no code implementations • CVPR 2022 • Junjie Liu, Junlong Liu, Shaotian Yan, Rongxin Jiang, Xiang Tian, Boxuan Gu, Yaowu Chen, Chen Shen, Jianqiang Huang
Despite the promising progress having been made, the two challenges of multi-view clustering (MVC) are still waiting for better solutions: i) Most existing methods are either not qualified or require additional steps for incomplete multi-view clustering and ii) noise or outliers might significantly degrade the overall clustering performance.
no code implementations • 8 Oct 2021 • Shaoshi Ling, Chen Shen, Meng Cai, Zejun Ma
In the recent trend of semi-supervised speech recognition, both self-supervised representation learning and pseudo-labeling have shown promising results.
no code implementations • 19 Aug 2021 • Chen Shen, Pochuan Wang, Holger R. Roth, Dong Yang, Daguang Xu, Masahiro Oda, Weichung Wang, Chiou-Shann Fuh, Po-Ting Chen, Kao-Lang Liu, Wei-Chih Liao, Kensaku MORI
Federated learning (FL) for medical image segmentation becomes more challenging in multi-task settings where clients might have different categories of labels represented in their data.
no code implementations • 19 May 2021 • Qianni Cao, Chen Shen, Mengshuo Jia
Then, an orientation independent vector C is developed to eliminate the probability distribution differences of power outputs caused by varying azimuth angles and tilt angles.
no code implementations • 1 Jan 2021 • Yue Wu, Jianqiang Huang, Jiangjie Zhen, Guokun Wang, Chen Shen, Chang Zhou, Xian-Sheng Hua
The past years have witnessed an explosion of deep learning frameworks like PyTorch and TensorFlow since the success of deep neural networks.
no code implementations • 28 Oct 2020 • Zhonghao Li, Benlai Tang, Xiang Yin, Yuan Wan, Ling Xu, Chen Shen, Zejun Ma
Singing voice conversion (SVC) aims to convert the voice of one singer to that of other singers while keeping the singing content and melody.
no code implementations • 28 Sep 2020 • Pochuan Wang, Chen Shen, Holger R. Roth, Dong Yang, Daguang Xu, Masahiro Oda, Kazunari Misawa, Po-Ting Chen, Kao-Lang Liu, Wei-Chih Liao, Wei-Chung Wang, Kensaku MORI
The performance of deep learning-based methods strongly relies on the number of datasets used for training.
1 code implementation • 2 Sep 2020 • Shaotian Yan, Chen Shen, Zhongming Jin, Jianqiang Huang, Rongxin Jiang, Yaowu Chen, Xian-Sheng Hua
Today, scene graph generation(SGG) task is largely limited in realistic scenarios, mainly due to the extremely long-tailed bias of predicate annotation distribution.
Ranked #4 on
Unbiased Scene Graph Generation
on Visual Genome
no code implementations • 14 Aug 2020 • Lihong He, Chen Shen, Arjun Mukherjee, Slobodan Vucetic, Eduard Dragut
We show that the early arrival rate of comments is the best indicator of the eventual number of comments.
no code implementations • 7 Aug 2019 • Chen Shen, Rongrong Ji, Fuhai Chen, Xiaoshuai Sun, Xiangming Li
Specifically, the proposed module first embeds the scene concepts into factored weights explicitly and attends the visual information extracted from the input image.
no code implementations • 17 Dec 2018 • Mengshuo Jia, Shaowei Huang, Zhiwen Wang, Chen Shen
Establishing the joint probability distribution of wind power and the corresponding forecast data of spatially correlated WFs is the foundation for deriving the conditional probability distribution.
no code implementations • 6 Jun 2018 • Holger R. Roth, Chen Shen, Hirohisa ODA, Takaaki Sugino, Masahiro Oda, Yuichiro Hayashi, Kazunari Misawa, Kensaku MORI
Recent advances in deep learning, like 3D fully convolutional networks (FCNs), have improved the state-of-the-art in dense semantic segmentation of medical images.
no code implementations • 7 May 2018 • Chen Shen, Guo-Jun Qi, Rongxin Jiang, Zhongming Jin, Hongwei Yong, Yaowu Chen, Xian-Sheng Hua
In this paper, we present novel sharp attention networks by adaptively sampling feature maps from convolutional neural networks (CNNs) for person re-identification (re-ID) problem.
no code implementations • 23 Mar 2018 • Holger R. Roth, Chen Shen, Hirohisa ODA, Masahiro Oda, Yuichiro Hayashi, Kazunari Misawa, Kensaku MORI
However, recent advances in deep learning have made it possible to significantly improve the performance of image recognition and semantic segmentation methods in the field of computer vision.
no code implementations • 18 Jan 2018 • Chen Shen, Holger R. Roth, Hirohisa ODA, Masahiro Oda, Yuichiro Hayashi, Kazunari Misawa, Kensaku MORI
Deep learning-based methods achieved impressive results for the segmentation of medical images.
no code implementations • 23 Oct 2017 • Feipeng Zhao, Martin Renqiang Min, Chen Shen, Amit Chakraborty
In this paper, we try to learn more complex connections between entities and relationships.