Search Results for author: Chen Shen

Found 36 papers, 3 papers with code

Forensic Histopathological Recognition via a Context-Aware MIL Network Powered by Self-Supervised Contrastive Learning

no code implementations27 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.

Contrastive Learning Domain Generalization +3

A Dynamic Equivalent Method for PMSG Based Wind Farms Under Asymmetrical Faults

no code implementations7 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.

A Data-driven Under Frequency Load Shedding Scheme in Power Systems

no code implementations3 Jul 2023 Qianni Cao, Chen Shen

Under frequency load shedding (UFLS) constitutes the very last resort for preventing total blackouts and cascading events.

Self-Learning Symmetric Multi-view Probabilistic Clustering

no code implementations12 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.

Clustering Incomplete multi-view clustering +1

CANet: Curved Guide Line Network with Adaptive Decoder for Lane Detection

no code implementations23 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)

Lane Detection

On Fast-Converged Reinforcement Learning for Optimal Dispatch of Large-Scale Power Systems under Transient Security Constraints

no code implementations17 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.

Decision Making

Locating the Sources of Sub-synchronous Oscillations Induced by the Control of Voltage Source Converters Based on Energy Structure and Nonlinearity Detection

no code implementations11 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.

Exit options sustain altruistic punishment and decrease the second-order free-riders, but it is not a panacea

no code implementations12 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.

Open-Ended Question Answering

Equivalent Inertia Provided by Droop Control of Fast Frequency Regulation Resources

no code implementations1 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.

A Dynamic Equivalent Method for PMSG-WTG Based Wind Farms Considering wind Speeds and Fault Severities

no code implementations23 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.


The Design of By-product Hydrogen Supply Chain Considering Large-scale Storage and Chemical Plants: A Game Theory Perspective

no code implementations6 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.

Data-driven Emergency Frequency Control for Multi-Infeed Hybrid AC-DC System

no code implementations6 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.

Detection of Nonlinear Behavior in Voltage Source Converter Control in Wind Farms Based on Higher-Order Spectral Analysis

no code implementations17 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.

Distributed Emergency Frequency Control Considering Transient Stability Constraints in Multi-Infeed Hybrid AC-DC System

no code implementations14 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.

On Mitigating Hard Clusters for Face Clustering

1 code implementation25 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.

Clustering Face Clustering +1

Incentive Mechanism Design for Emergency Frequency Control in Multi-Infeed Hybrid AC-DC System

no code implementations28 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.

Chance-constrained OPF: A Distributed Method with Confidentiality Preservation

no code implementations28 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.

Decision Making

Control-aware Probabilistic Load Flow for Transmission Systems: An Analytical Method

no code implementations28 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.

MPC: Multi-View Probabilistic Clustering

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.

Clustering Incomplete multi-view clustering

Improving Pseudo-label Training For End-to-end Speech Recognition Using Gradient Mask

no code implementations8 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.

Pseudo Label Representation Learning +2

Multi-task Federated Learning for Heterogeneous Pancreas Segmentation

no code implementations19 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.

Federated Learning Image Segmentation +2

A fault detection scheme for PV panels in large scale PV stations with complex installation conditions

no code implementations19 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.

Fault Detection

VideoFlow: A Framework for Building Visual Analysis Pipelines

no code implementations1 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.

PPG-based singing voice conversion with adversarial representation learning

no code implementations28 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.

Representation Learning Voice Conversion +1

PCPL: Predicate-Correlation Perception Learning for Unbiased Scene Graph Generation

1 code implementation2 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.

Graph Generation Unbiased Scene Graph Generation

Cannot Predict Comment Volume of a News Article before (a few) Users Read It

no code implementations14 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.

Scene-based Factored Attention for Image Captioning

no code implementations7 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.

Image Captioning

Privacy-Preserving Distributed Parameter Estimation for Probability Distribution of Wind Power Forecast Error

no code implementations17 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.

Decision Making Privacy Preserving

A multi-scale pyramid of 3D fully convolutional networks for abdominal multi-organ segmentation

no code implementations6 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.

Organ Segmentation Semantic Segmentation

Sharp Attention Network via Adaptive Sampling for Person Re-identification

no code implementations7 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.

Person Re-Identification

Deep learning and its application to medical image segmentation

no code implementations23 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.

Anatomy Computed Tomography (CT) +4

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