Jun Shu

According to our database, Jun Shu authored at least 50 papers between 2003 and 2024.

Collaborative distances:

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

2024

MUMA: A Multi-Omics Meta-Learning Algorithm for Data Interpretation and Classification.

Hai-Hui Huang, Jun Shu, Yong Liang

IEEE J. Biomed. Health Informatics, April, 2024

CWGA-Net: Center-Weighted Graph Attention Network for 3D object detection from point clouds.

Jun Shu, Qi Wu, Liang Tan, Xinyi Shu, Fengchun Wan

Image Vis. Comput., 2024

On the Noise Robustness of In-Context Learning for Text Generation.

Hongfu Gao, Feipeng Zhang, Wenyu Jiang, Jun Shu, Feng Zheng, Hongxin Wei

CoRR, 2024

Are Dense Labels Always Necessary for 3D Object Detection from Point Cloud?

Chenqiang Gao, Chuandong Liu, Jun Shu, Fangcen Liu, Jiang Liu, Luyu Yang, Xinbo Gao, Deyu Meng

CoRR, 2024

SOA: Seed point offset attention for indoor 3D object detection in point clouds.

Jun Shu, Shiqi Yu, Xinyi Shu, Jiewen Hu

Comput. Graph., 2024

2023

CMW-Net: Learning a Class-Aware Sample Weighting Mapping for Robust Deep Learning.

Jun Shu, Xiang Yuan, Deyu Meng, Zongben Xu

IEEE Trans. Pattern Anal. Mach. Intell., October, 2023

Variational Label Enhancement.

Ning Xu, Jun Shu, RenYi Zheng, Xin Geng, Deyu Meng, Min-Ling Zhang

IEEE Trans. Pattern Anal. Mach. Intell., May, 2023

A Probabilistic Formulation for Meta-Weight-Net.

Qian Zhao, Jun Shu, Xiang Yuan, Ziming Liu, Deyu Meng

IEEE Trans. Neural Networks Learn. Syst., March, 2023

MLR-SNet: Transferable LR Schedules for Heterogeneous Tasks.

Jun Shu, Yanwen Zhu, Qian Zhao, Deyu Meng, Zongben Xu

IEEE Trans. Pattern Anal. Mach. Intell., March, 2023

Learning an Explicit Hyper-parameter Prediction Function Conditioned on Tasks.

Jun Shu, Deyu Meng, Zongben Xu

J. Mach. Learn. Res., 2023

Meta-BN Net for few-shot learning.

Wei Gao, Mingwen Shao, Jun Shu, Xinkai Zhuang

Frontiers Comput. Sci., 2023

DAC-MR: Data Augmentation Consistency Based Meta-Regularization for Meta-Learning.

Jun Shu, Xiang Yuan, Deyu Meng, Zongben Xu

CoRR, 2023

Improve Noise Tolerance of Robust Loss via Noise-Awareness.

Kehui Ding, Jun Shu, Deyu Meng, Zongben Xu

CoRR, 2023

A Hyper-weight Network for Hyperspectral Image Denoising.

Xiangyu Rui, Xiangyong Cao, Jun Shu, Qian Zhao, Deyu Meng

CoRR, 2023

Dual Meta-Learning with Longitudinally Generalized Regularization for One-Shot Brain Tissue Segmentation Across the Human Lifespan.

Yongheng Sun, Fan Wang, Jun Shu, Haifeng Wang, Li Wang, Deyu Meng, Chunfeng Lian

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

EEG Identity Authentication in Multi-Domain Features: A Multi-Scale 3D-CNN Approach.

Rongkai Zhang, Ying Zeng, Li Tong, Jun Shu, Runnan Lu, Zhongrui Li, Kai Yang, Bin Yan

Frontiers Neurorobotics, September, 2022

Multinetwork Collaborative Feature Learning for Semisupervised Person Reidentification.

Sanping Zhou, Jinjun Wang, Jun Shu, Deyu Meng, Le Wang, Nanning Zheng

IEEE Trans. Neural Networks Learn. Syst., 2022

SLNL: A novel method for gene selection and phenotype classification.

Hai-Hui Huang, Naiqi Wu, Yong Liang, Xindong Peng, Jun Shu

Int. J. Intell. Syst., 2022

Linking Multi-Layer Dynamical GCN With Style-Based Recalibration CNN for EEG-Based Emotion Recognition.

Guangcheng Bao, Kai Yang, Li Tong, Jun Shu, Rongkai Zhang, Linyuan Wang, Bin Yan, Ying Zeng

Frontiers Neurorobotics, 2022

Diagnosing Batch Normalization in Class Incremental Learning.

Minghao Zhou, Quanziang Wang, Jun Shu, Qian Zhao, Deyu Meng

CoRR, 2022

A Collaborative Brain-Computer Interface Framework for Enhancing Group Detection Performance of Dynamic Visual Targets.

Xiyu Song, Ying Zeng, Li Tong, Jun Shu, Qiang Yang, Jian Kou, Minghua Sun, Bin Yan

Comput. Intell. Neurosci., 2022

MSIS: Multispectral Instance Segmentation Method for Power Equipment.

Jun Shu, Juncheng He, Ling Li

Comput. Intell. Neurosci., 2022

2021

A novel gateway node reconfiguration method of IOT based on hierarchical coding particle swarm optimization.

Wei Shu, Dajiang He, Jun Shu

Web Intell., 2021

Data Augmentation for EEG-Based Emotion Recognition Using Generative Adversarial Networks.

Guangcheng Bao, Bin Yan, Li Tong, Jun Shu, Linyuan Wang, Kai Yang, Ying Zeng

Frontiers Comput. Neurosci., 2021

Learning an Explicit Hyperparameter Prediction Policy Conditioned on Tasks.

Jun Shu, Deyu Meng, Zongben Xu

CoRR, 2021

A Superpixel-Based Neighborhood Polarimetric Covariance Matrix for Polsar Ship Detection.

Tao Zhang, Jun Shu, Chengtao Ji, Yanlei Du, Tao Liu, Jian Yang

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

An Enhanced HDCA Algorithm for Single-trial EEG Classification.

Xiyu Song, Ying Zeng, Jun Shu, Chi Zhang, Li Tong, Bin Yan

Proceedings of the CCEAI 2021: 5th International Conference on Control Engineering and Artificial Intelligence, 2021

Learning to Purify Noisy Labels via Meta Soft Label Corrector.

Yichen Wu, Jun Shu, Qi Xie, Qian Zhao, Deyu Meng

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Select-ProtoNet: Learning to Select for Few-Shot Disease Subtype Prediction.

Ziyi Yang, Jun Shu, Yong Liang, Deyu Meng, Zongben Xu

CoRR, 2020

Meta Feature Modulator for Long-tailed Recognition.

Renzhen Wang, Kaiqin Hu, Yanwen Zhu, Jun Shu, Qian Zhao, Deyu Meng

CoRR, 2020

Meta-LR-Schedule-Net: Learned LR Schedules that Scale and Generalize.

Jun Shu, Yanwen Zhu, Qian Zhao, Deyu Meng, Zongben Xu

CoRR, 2020

Meta Transition Adaptation for Robust Deep Learning with Noisy Labels.

Jun Shu, Qian Zhao, Zongben Xu, Deyu Meng

CoRR, 2020

Learning Adaptive Loss for Robust Learning with Noisy Labels.

Jun Shu, Qian Zhao, Keyu Chen, Zongben Xu, Deyu Meng

CoRR, 2020

A Novel Beam Steerable Antenna Employing Tunable High Impedance Surface With Liquid Crystal.

Jun Shu, Yueping Zhang, Ziyang Zheng

IEEE Access, 2020

Variational Label Enhancement.

Ning Xu, Jun Shu, Yun-Peng Liu, Xin Geng

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

A Bi-Level Approach for Determining Optimal Dynamic Retail Electricity Pricing of Large Industrial Customers.

Jun Shu, Rui Guan, Lei Wu, Bing Han

IEEE Trans. Smart Grid, 2019

EEG-Based Identity Authentication Framework Using Face Rapid Serial Visual Presentation with Optimized Channels.

Ying Zeng, Qunjian Wu, Kai Yang, Li Tong, Bin Yan, Jun Shu, Dezhong Yao

Sensors, 2019

Push the Student to Learn Right: Progressive Gradient Correcting by Meta-learner on Corrupted Labels.

Jun Shu, Qi Xie, Lixuan Yi, Qian Zhao, Sanping Zhou, Zongben Xu, Deyu Meng

CoRR, 2019

Identity Authentication Using Portable Electroencephalography Signals in Resting States.

Rongkai Zhang, Bin Yan, Li Tong, Jun Shu, Xiaoxiao Song, Ying Zeng

IEEE Access, 2019

Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting.

Jun Shu, Qi Xie, Lixuan Yi, Qian Zhao, Sanping Zhou, Zongben Xu, Deyu Meng

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018

Small Sample Learning in Big Data Era.

Jun Shu, Zongben Xu, Deyu Meng

CoRR, 2018

2016

Bridging Inference Based Sentence Linking Model for Semantic Coherence.

Weidong Liu, Xiangfeng Luo, Jun Shu, Dandan Jiang

Int. J. Cogn. Informatics Nat. Intell., 2016

2015

A Topic Discovery Model Based on Content and Emotion in Microblogs.

Jun Shu, Weidong Liu, Xiangfeng Luo

Proceedings of the 11th International Conference on Semantics, Knowledge and Grids, 2015

How the bridging inference links unordered sentences for semantic coherence.

Weidong Liu, Xiangfeng Luo, Jun Shu

Proceedings of the 14th IEEE International Conference on Cognitive Informatics & Cognitive Computing, 2015

2008

Simulation of process execution monitoring and adjustment schemes.

Russell R. Barton, Jun Shu

Proceedings of the 2008 Winter Simulation Conference, Global Gateway to Discovery, 2008

A low supply-dependence fully-MOSFET voltage reference for low-voltage and low-power.

Jun Shu, Min Cai

Proceedings of the IEEE Asia Pacific Conference on Circuits and Systems, 2008

2007

Extracting gene regulation information for cancer classification.

Hong-Qiang Wang, Hau-San Wong, De-Shuang Huang, Jun Shu

Pattern Recognit., 2007

2006

Smart pay access control via incentive alignment.

Jun Shu, Pravin Varaiya

IEEE J. Sel. Areas Commun., 2006

2003

Mechanism Design for Networking Research.

Jun Shu, Pravin Varaiya

Inf. Syst. Frontiers, 2003

Pricing Network Services.

Jun Shu, Pravin Varaiya

Proceedings of the Proceedings IEEE INFOCOM 2003, The 22nd Annual Joint Conference of the IEEE Computer and Communications Societies, San Franciso, CA, USA, March 30, 2003