Yun Su

According to our database, Yun Su authored at least 41 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Power System Adequacy With Variable Resources: A Capacity Credit Perspective.

Ning Zhang, Yanghao Yu, Chen Fang, Yun Su, Chongqing Kang

IEEE Trans. Reliab., March, 2024

Enhancing concealed object detection in Active Millimeter Wave Images using wavelet transform.

Yun Su, Weixian Tan, Yifan Dong, Wei Xu, Pingping Huang, Jianxin Zhang, Diankun Zhang

Signal Process., March, 2024

RLCA: Reinforcement Learning Model Integrating Cognition and Affection for Empathetic Response Generation.

Yun Su, Haoran Bian, Bozhen Fan, Bingxu Lian, Chengrong Zhang, Bingtao Zhang, Runhe Huang

IEEE Trans. Comput. Soc. Syst., February, 2024

A Parameter-Free Pixel Correlation-Based Attention Module for Remote Sensing Object Detection.

Xin Guan, Yifan Dong, Weixian Tan, Yun Su, Pingping Huang

Remote. Sens., January, 2024

2023

Efficient heterogeneous signcryption scheme based on Edge Computing for Industrial Internet of Things.

Shufen Niu, Honglin Shao, Yun Su, Caifen Wang

J. Syst. Archit., March, 2023

Attribute-based searchable encrypted scheme with edge computing for Industrial Internet of Things.

Shufen Niu, Ying Hu, Yun Su, Sen Yan, Siwei Zhou

J. Syst. Archit., 2023

Camouflage target detection based on strong semantic information and feature fusion.

Junhua Yan, Xutong Hu, Yun Su, Yin Zhang, Mengwei Shi, Yinsen Gao

J. Electronic Imaging, 2023

Improving Expressivity of GNNs with Subgraph-specific Factor Embedded Normalization.

Kaixuan Chen, Shunyu Liu, Tongtian Zhu, Ji Qiao, Yun Su, Yingjie Tian, Tongya Zheng, Haofei Zhang, Zunlei Feng, Jingwen Ye, Mingli Song

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Probabilistic Risk Assessment of Over-voltage Based on Voltage Sensitivity Analysis in Distribution Networks.

Nan Feng, Yun Su, Yuyao Feng, Yufan Zhang, Ren Zhang, Haoming Liu

Proceedings of the IEEE Sustainable Power and Energy Conference, 2023

Semi-supervised Multivariate Time Series Classification by Subsample Correlation Prediction.

Yun Su

Proceedings of the IEEE Symposium on Computers and Communications, 2023

Message-passing Selection: Towards Interpretable GNNs for Graph Classification.

Wenda Li, Kaixuan Chen, Shunyu Liu, Wenjie Huang, Haofei Zhang, Mingli Song, Yingjie Tian, Yun Su

Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

The Empathic Dialogue Generation Model Based on Emotion Cause Perception.

Yun Su, Bozhen Fan, Haoran Bian, Runhe Huang, Yunhao Zhu

Proceedings of the Post-event Proceedings of the AAAI Spring Symposium: Socially Responsible AI for Well-being (AAAI-SRAI 2023) co-located with Association for the Advancement of Artificial Intelligence 2023 Spring Symposium (AAAI-Spring Symposium 2023), 2023

2022

A Method of Fusing Probability-Form Knowledge into Object Detection in Remote Sensing Images.

Kunlong Zheng, Yifan Dong, Wei Xu, Yun Su, Pingping Huang

Remote. Sens., December, 2022

Integrating Multi-Scale Remote-Sensing Data to Monitor Severe Forest Infestation in Response to Pine Wilt Disease.

Xiujuan Li, Yongxin Liu, Pingping Huang, Tong Tong, Linyuan Li, Yuejuan Chen, Ting Hou, Yun Su, Xiaoqi Lv, Wenxue Fu, Xiaojun Huang

Remote. Sens., 2022

A database search optimization method for maritime emergency rescue under the condition of limited bandwidth.

Chunxu Chen, Lichun Yang, Yun Su

Proceedings of the 2022 6th International Conference on Electronic Information Technology and Computer Engineering, 2022

2021

GR-LOAM: LiDAR-based sensor fusion SLAM for ground robots on complex terrain.

Yun Su, Ting Wang, Shiliang Shao, Chen Yao, Zhidong Wang

Robotics Auton. Syst., 2021

Multi-IMF Sample Entropy Features with Machine Learning for Surface Texture Recognition Based on Robot Tactile Perception.

Shiliang Shao, Ting Wang, Yun Su, Chen Yao, Chunhe Song, Zhaojie Ju

Int. J. Humanoid Robotics, 2021

Computing infrastructure construction and optimization for high-performance computing and artificial intelligence.

Yun Su, Jipeng Zhou, Jiangyong Ying, Mingyao Zhou, Bin Zhou

CCF Trans. High Perform. Comput., 2021

An optimized segmentation and quantification approach in microvascular imaging for OCTA-based neovascular regression monitoring.

Sheng Wu, Shaowei Wu, Hui Feng, Zizhong Hu, Yejing Xie, Yun Su, Ting Feng, Li Li

BMC Medical Imaging, 2021

GR-Fusion: Multi-sensor Fusion SLAM for Ground Robots with High Robustness and Low Drift.

Ting Wang, Yun Su, Shiliang Shao, Chen Yao, Zhidong Wang

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Research on Load-balancing Index Algorithm for Smart Grid System.

Yun Su, Zenghui Yang, Naiwang Guo

Proceedings of the 8th IEEE International Conference on Cyber Security and Cloud Computing, 2021

2020

The Novel Indices of Short-Time Heart Rate Variability for Prediction of Cardiovascular and Cerebrovascular Events.

Shiliang Shao, Ting Wang, Chunhe Song, Yun Su, Xingchi Chen, Hai Zhao

J. Medical Imaging Health Informatics, 2020

Ubiquitous Depression Detection of Sleep Physiological Data by Using Combination Learning and Functional Networks.

Bingtao Zhang, Wenying Zhou, Hanshu Cai, Yun Su, Jinfeng Wang, Zhonglin Zhang, Tao Lei

IEEE Access, 2020

Adaptive Nonlinear Control Algorithm for a Self-Balancing Robot.

Yun Su, Ting Wang, Kai Zhang, Chen Yao, Zhidong Wang

IEEE Access, 2020

SIMSF: A Scale Insensitive Multi-Sensor Fusion Framework for Unmanned Aerial Vehicles Based on Graph Optimization.

Bo Dai, Yuqing He, Liying Yang, Yun Su, Yufeng Yue, Weiliang Xu

IEEE Access, 2020

GR-SLAM: Vision-Based Sensor Fusion SLAM for Ground Robots on Complex Terrain.

Yun Su, Ting Wang, Chen Yao, Shiliang Shao, Zhidong Wang

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

An Overlapping Community Detection with Subspaces on Double-Views.

Yang Chang, Huifang Ma, Yun Su, Zhixin Li

Proceedings of the Neural Information Processing - 27th International Conference, 2020

2019

Logical Model and Verification of Emotion Triggers for BDI Agents.

Yun Su, Yongqiang Dai, Xiaohong Li

Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

2018

Feature Selection for Optimized High-Dimensional Biomedical Data Using an Improved Shuffled Frog Leaping Algorithm.

Bin Hu, Yongqiang Dai, Yun Su, Philip Moore, Xiaowei Zhang, Chengsheng Mao, Jing Chen, Lixin Xu

IEEE ACM Trans. Comput. Biol. Bioinform., 2018

Electricity Consumption Model Analysis based on Sparse Principal Components.

Bo Yao, Yiming Xu, Yue Pang, Chaoyi Jin, Zijing Tan, Xiangdong Zhou, Yun Su

Proceedings of the 7th International Conference on Pattern Recognition Applications and Methods, 2018

A data-driven approach to forecasting the distribution of distributed photovoltaic systems.

Ziqiang Zhou, Teng Zhao, Yan Zhang, Yun Su

Proceedings of the IEEE International Conference on Industrial Technology, 2018

A Computationally Grounded Model of Emotional BDI-Agents.

Yun Su, Bin Hu, Yongqiang Dai, Juan Rao

Proceedings of the Intelligent Computing Theories and Application, 2018

Storage and Indexing of Big Data for Power Distribution Networks.

Naiwang Guo, Yun Su, Hongshan Yang

Proceedings of the 5th IEEE International Conference on Cyber Security and Cloud Computing, 2018

2017

A Novel Path Selection Algorithm Based on Graph-Cut to Ensure Security in SDN.

Shuquan Fan, Rongheng Lin, Shiqi Zhou, Hua Zou, Budan Wu, Yun Su

Proceedings of the Communications and Networking, 2017

2016

Combining Statistical Information and Semantic Similarity for Short Text Feature Extension.

Xiaohong Li, Yun Su, Huifang Ma, Lin Cao

Proceedings of the Intelligent Information Processing VIII, 2016

2015

Object Classification via Feature Fusion Based Marginalized Kernels.

Xiao Bai, Chuntian Liu, Peng Ren, Jun Zhou, Huijie Zhao, Yun Su

IEEE Geosci. Remote. Sens. Lett., 2015

Nearest Neighbor Method Based on Local Distribution for Classification.

Chengsheng Mao, Bin Hu, Philip Moore, Yun Su, Manman Wang

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015

Feature selection of high-dimensional biomedical data using improved SFLA for disease diagnosis.

Yongqiang Dai, Bin Hu, Yun Su, Chengsheng Mao, Jing Chen, Xiaowei Zhang, Philip Moore, Lixin Xu, Hanshu Cai

Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015

Feature-level fusion of multimodal physiological signals for emotion recognition.

Jing Chen, Bin Hu, Lixin Xu, Philip Moore, Yun Su

Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015

2014

Functional network disruption in attention deficit hyperactivity disorder.

Zhijun Yao, Bin Hu, Yuanwei Xie, Wei Wang, Ruiyue Liu, Chuanjiang Liang, Yun Su

Proceedings of the 2014 IEEE International Conference on Bioinformatics and Biomedicine, 2014

EmotionO+: Physiological signals knowledge representation and emotion reasoning model for mental health monitoring.

Yun Su, Bin Hu, Lixin Xu, Hanshu Cai, Philip Moore, Xiaowei Zhang, Jing Chen

Proceedings of the 2014 IEEE International Conference on Bioinformatics and Biomedicine, 2014