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This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[j25]Jun Shu, Shiqi Yu, Xinyi Shu, Jiewen Hu:
SOA: Seed point offset attention for indoor 3D object detection in point clouds. Comput. Graph. 123: 103992 (2024)- [j24]Jun Shu, Qi Wu, Liang Tan, Xinyi Shu, Fengchun Wan:
CWGA-Net: Center-Weighted Graph Attention Network for 3D object detection from point clouds. Image Vis. Comput. 152: 105314 (2024) - [j23]Hai-Hui Huang
, Jun Shu, Yong Liang:
MUMA: A Multi-Omics Meta-Learning Algorithm for Data Interpretation and Classification. IEEE J. Biomed. Health Informatics 28(4): 2428-2436 (2024) - [i17]Chenqiang Gao, Chuandong Liu, Jun Shu, Fangcen Liu, Jiang Liu, Luyu Yang, Xinbo Gao, Deyu Meng:
Are Dense Labels Always Necessary for 3D Object Detection from Point Cloud? CoRR abs/2403.02818 (2024) - [i16]Hongfu Gao, Feipeng Zhang, Wenyu Jiang, Jun Shu, Feng Zheng, Hongxin Wei:
On the Noise Robustness of In-Context Learning for Text Generation. CoRR abs/2405.17264 (2024) - 2023
- [j22]Wei Gao, Mingwen Shao, Jun Shu, Xinkai Zhuang:
Meta-BN Net for few-shot learning. Frontiers Comput. Sci. 17(1): 171302 (2023) - [j21]Jun Shu, Deyu Meng, Zongben Xu:
Learning an Explicit Hyper-parameter Prediction Function Conditioned on Tasks. J. Mach. Learn. Res. 24: 186:1-186:74 (2023) - [j20]Jun Shu, Yanwen Zhu, Qian Zhao, Deyu Meng, Zongben Xu:
MLR-SNet: Transferable LR Schedules for Heterogeneous Tasks. IEEE Trans. Pattern Anal. Mach. Intell. 45(3): 3505-3521 (2023) - [j19]Ning Xu, Jun Shu, RenYi Zheng, Xin Geng, Deyu Meng, Min-Ling Zhang:
Variational Label Enhancement. IEEE Trans. Pattern Anal. Mach. Intell. 45(5): 6537-6551 (2023) - [j18]Jun Shu, Xiang Yuan, Deyu Meng, Zongben Xu:
CMW-Net: Learning a Class-Aware Sample Weighting Mapping for Robust Deep Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45(10): 11521-11539 (2023) - [j17]Qian Zhao, Jun Shu, Xiang Yuan, Ziming Liu, Deyu Meng:
A Probabilistic Formulation for Meta-Weight-Net. IEEE Trans. Neural Networks Learn. Syst. 34(3): 1194-1208 (2023) - [c11]Yongheng Sun, Fan Wang, Jun Shu, Haifeng Wang, Li Wang, Deyu Meng, Chunfeng Lian:
Dual Meta-Learning with Longitudinally Generalized Regularization for One-Shot Brain Tissue Segmentation Across the Human Lifespan. ICCV 2023: 21061-21071 - [i15]Xiangyu Rui, Xiangyong Cao, Jun Shu, Qian Zhao, Deyu Meng:
A Hyper-weight Network for Hyperspectral Image Denoising. CoRR abs/2301.06081 (2023) - [i14]Kehui Ding, Jun Shu, Deyu Meng, Zongben Xu:
Improve Noise Tolerance of Robust Loss via Noise-Awareness. CoRR abs/2301.07306 (2023) - [i13]Jun Shu, Xiang Yuan, Deyu Meng, Zongben Xu:
DAC-MR: Data Augmentation Consistency Based Meta-Regularization for Meta-Learning. CoRR abs/2305.07892 (2023) - [i12]Yongheng Sun, Fan Wang, Jun Shu, Haifeng Wang, Li Wang, Deyu Meng, Chunfeng Lian:
Dual Meta-Learning with Longitudinally Generalized Regularization for One-Shot Brain Tissue Segmentation Across the Human Lifespan. CoRR abs/2308.06774 (2023) - 2022
- [j16]Jun Shu, Juncheng He, Ling Li:
MSIS: Multispectral Instance Segmentation Method for Power Equipment. Comput. Intell. Neurosci. 2022: 2864717:1-2864717:13 (2022) - [j15]Xiyu Song, Ying Zeng, Li Tong, Jun Shu, Qiang Yang, Jian Kou, Minghua Sun, Bin Yan:
A Collaborative Brain-Computer Interface Framework for Enhancing Group Detection Performance of Dynamic Visual Targets. Comput. Intell. Neurosci. 2022: 4752450:1-4752450:12 (2022) - [j14]Guangcheng Bao, Kai Yang, Li Tong, Jun Shu, Rongkai Zhang, Linyuan Wang, Bin Yan, Ying Zeng:
Linking Multi-Layer Dynamical GCN With Style-Based Recalibration CNN for EEG-Based Emotion Recognition. Frontiers Neurorobotics 16: 834952 (2022) - [j13]Rongkai Zhang, Ying Zeng, Li Tong, Jun Shu, Runnan Lu, Zhongrui Li, Kai Yang, Bin Yan:
EEG Identity Authentication in Multi-Domain Features: A Multi-Scale 3D-CNN Approach. Frontiers Neurorobotics 16 (2022) - [j12]Hai-Hui Huang, Naiqi Wu, Yong Liang, Xindong Peng, Jun Shu:
SLNL: A novel method for gene selection and phenotype classification. Int. J. Intell. Syst. 37(9): 6283-6304 (2022) - [j11]Sanping Zhou, Jinjun Wang, Jun Shu, Deyu Meng, Le Wang, Nanning Zheng:
Multinetwork Collaborative Feature Learning for Semisupervised Person Reidentification. IEEE Trans. Neural Networks Learn. Syst. 33(9): 4826-4839 (2022) - [i11]Jun Shu, Xiang Yuan, Deyu Meng, Zongben Xu:
CMW-Net: Learning a Class-Aware Sample Weighting Mapping for Robust Deep Learning. CoRR abs/2202.05613 (2022) - [i10]Minghao Zhou, Quanziang Wang, Jun Shu, Qian Zhao, Deyu Meng:
Diagnosing Batch Normalization in Class Incremental Learning. CoRR abs/2202.08025 (2022) - 2021
- [j10]Guangcheng Bao, Bin Yan, Li Tong, Jun Shu, Linyuan Wang, Kai Yang, Ying Zeng:
Data Augmentation for EEG-Based Emotion Recognition Using Generative Adversarial Networks. Frontiers Comput. Neurosci. 15: 723843 (2021) - [j9]Wei Shu, Dajiang He, Jun Shu:
A novel gateway node reconfiguration method of IOT based on hierarchical coding particle swarm optimization. Web Intell. 19(1-2): 27-40 (2021) - [c10]Yichen Wu, Jun Shu, Qi Xie, Qian Zhao, Deyu Meng:
Learning to Purify Noisy Labels via Meta Soft Label Corrector. AAAI 2021: 10388-10396 - [c9]Xiyu Song, Ying Zeng, Jun Shu, Chi Zhang, Li Tong, Bin Yan:
An Enhanced HDCA Algorithm for Single-trial EEG Classification. CCEAI 2021: 105-109 - [c8]Tao Zhang, Jun Shu, Chengtao Ji, Yanlei Du, Tao Liu, Jian Yang:
A Superpixel-Based Neighborhood Polarimetric Covariance Matrix for Polsar Ship Detection. IGARSS 2021: 4992-4995 - [i9]Jun Shu, Deyu Meng, Zongben Xu:
Learning an Explicit Hyperparameter Prediction Policy Conditioned on Tasks. CoRR abs/2107.02378 (2021) - 2020
- [j8]Jun Shu, Yueping Zhang, Ziyang Zheng:
A Novel Beam Steerable Antenna Employing Tunable High Impedance Surface With Liquid Crystal. IEEE Access 8: 118687-118695 (2020) - [c7]Ning Xu, Jun Shu, Yun-Peng Liu, Xin Geng:
Variational Label Enhancement. ICML 2020: 10597-10606 - [i8]Jun Shu, Qian Zhao, Keyu Chen, Zongben Xu, Deyu Meng:
Learning Adaptive Loss for Robust Learning with Noisy Labels. CoRR abs/2002.06482 (2020) - [i7]Jun Shu, Qian Zhao, Zongben Xu, Deyu Meng:
Meta Transition Adaptation for Robust Deep Learning with Noisy Labels. CoRR abs/2006.05697 (2020) - [i6]Jun Shu, Yanwen Zhu, Qian Zhao, Deyu Meng, Zongben Xu:
Meta-LR-Schedule-Net: Learned LR Schedules that Scale and Generalize. CoRR abs/2007.14546 (2020) - [i5]Yichen Wu, Jun Shu, Qi Xie, Qian Zhao, Deyu Meng:
Learning to Purify Noisy Labels via Meta Soft Label Corrector. CoRR abs/2008.00627 (2020) - [i4]Renzhen Wang, Kaiqin Hu, Yanwen Zhu, Jun Shu, Qian Zhao, Deyu Meng:
Meta Feature Modulator for Long-tailed Recognition. CoRR abs/2008.03428 (2020) - [i3]Ziyi Yang, Jun Shu, Yong Liang, Deyu Meng, Zongben Xu:
Select-ProtoNet: Learning to Select for Few-Shot Disease Subtype Prediction. CoRR abs/2009.00792 (2020)
2010 – 2019
- 2019
- [j7]Rongkai Zhang, Bin Yan, Li Tong, Jun Shu, Xiaoxiao Song, Ying Zeng:
Identity Authentication Using Portable Electroencephalography Signals in Resting States. IEEE Access 7: 160671-160682 (2019) - [j6]Ying Zeng, Qunjian Wu, Kai Yang, Li Tong, Bin Yan, Jun Shu, Dezhong Yao:
EEG-Based Identity Authentication Framework Using Face Rapid Serial Visual Presentation with Optimized Channels. Sensors 19(1): 6 (2019) - [j5]Jun Shu, Rui Guan, Lei Wu, Bing Han:
A Bi-Level Approach for Determining Optimal Dynamic Retail Electricity Pricing of Large Industrial Customers. IEEE Trans. Smart Grid 10(2): 2267-2277 (2019) - [c6]Jun Shu, Qi Xie, Lixuan Yi, Qian Zhao, Sanping Zhou, Zongben Xu, Deyu Meng:
Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting. NeurIPS 2019: 1917-1928 - [i2]Jun Shu, Qi Xie, Lixuan Yi, Qian Zhao, Sanping Zhou, Zongben Xu, Deyu Meng:
Push the Student to Learn Right: Progressive Gradient Correcting by Meta-learner on Corrupted Labels. CoRR abs/1902.07379 (2019) - 2018
- [i1]Jun Shu, Zongben Xu, Deyu Meng:
Small Sample Learning in Big Data Era. CoRR abs/1808.04572 (2018) - 2016
- [j4]Weidong Liu, Xiangfeng Luo, Jun Shu, Dandan Jiang:
Bridging Inference Based Sentence Linking Model for Semantic Coherence. Int. J. Cogn. Informatics Nat. Intell. 10(1): 32-54 (2016) - 2015
- [c5]Weidong Liu, Xiangfeng Luo, Jun Shu:
How the bridging inference links unordered sentences for semantic coherence. ICCI*CC 2015: 242-249 - [c4]Jun Shu, Weidong Liu, Xiangfeng Luo:
A Topic Discovery Model Based on Content and Emotion in Microblogs. SKG 2015: 140-146
2000 – 2009
- 2008
- [c3]Jun Shu, Min Cai:
A low supply-dependence fully-MOSFET voltage reference for low-voltage and low-power. APCCAS 2008: 662-665 - [c2]Russell R. Barton, Jun Shu:
Simulation of process execution monitoring and adjustment schemes. WSC 2008: 1687-1693 - 2007
- [j3]Hong-Qiang Wang, Hau-San Wong, De-Shuang Huang, Jun Shu:
Extracting gene regulation information for cancer classification. Pattern Recognit. 40(12): 3379-3392 (2007) - 2006
- [j2]Jun Shu, Pravin Varaiya:
Smart pay access control via incentive alignment. IEEE J. Sel. Areas Commun. 24(5): 1051-1060 (2006) - 2003
- [j1]Jun Shu, Pravin Varaiya:
Mechanism Design for Networking Research. Inf. Syst. Frontiers 5(1): 29-37 (2003) - [c1]Jun Shu, Pravin Varaiya:
Pricing Network Services. INFOCOM 2003: 1221-1230
Coauthor Index
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