Search Results for author: Chen Shen

Found 19 papers, 2 papers with code

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.

14

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.

Representation Learning Speech Recognition

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 Pancreas Segmentation +1

Criterion-based Heterogeneous Collaborative Filtering for Multi-behavior Implicit Recommendation

1 code implementation25 May 2021 Xiao Luo, Daqing Wu, Chong Chen, Jinwen Ma, Minghua Deng, Chen Shen, Jianqiang Huang, Xian-Sheng Hua

Besides, CHCF integrates criterion learning and user preference learning into a unified framework, which can be trained jointly for the interaction prediction on target behavior.

Collaborative Filtering Metric Learning +1

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

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

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.

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.

Computed Tomography (CT) Medical Image Segmentation +1

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