Jun Shu - RankMe

70 papers A* 7C 1Misc 1Journal 57Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Diagnosing BN discrepancy in rehearsal-based class incremental learning. Int. J. Mach. Learn. Cybern. Minghao Zhou, Quanziang Wang, Renzhen Wang, Jun Shu, Qian Zhao, Hong Wang, Deyu Meng
2026	J	`jnl`	DuMeta++: Spatiotemporal Dual Meta-Learning for Generalizable Few-Shot Brain Tissue Segmentation Across Diverse Ages. CoRR Yongheng Sun, Jun Shu, Jianhua Ma, Fan Wang
2026	J	`jnl`	KoopGen: Koopman Generator Networks for Representing and Predicting Dynamical Systems with Continuous Spectra. CoRR Liangyu Su, Jun Shu, Rui Liu, Deyu Meng, Zongben Xu
2026	J	`jnl`	Multi-feature colon polyp detection algorithm based on dual-position CT images. Biomed. Signal Process. Control. Shi Qiu, Hongbing Lu, Jun Shu, Ting Liang
2026	J	`jnl`	The role of SP100 in tumour immune microenvironment and prognosis of head and neck squamous cell carcinoma. Int. J. Data Min. Bioinform. Mengmeng Zhang, Yu Bai, Shengli Han, Jun Shu
2026	J	`jnl`	Understanding the Generalization of Bilevel Programming in Hyperparameter Optimization: A Tale of Bias-Variance Decomposition. CoRR Yubo Zhou, Jun Shu, Junmin Liu, Deyu Meng
2026	J	`jnl`	Warm-start or cold-start? A comparison of generalizability in gradient-based hyperparameter tuning. Neural Networks Yubo Zhou, Jun Shu, Chengli Tan, Haishan Ye, Quanziang Wang, Junmin Liu, Deyu Meng, Ivor W. Tsang, Guang Dai
2025	J	`jnl`	Diversity-Enhanced and Classification-Aware Prompt Learning for Few-Shot Learning via Stable Diffusion. Trans. Mach. Learn. Res. Gaoqin Chang, Jun Shu, Xiang Yuan, Deyu Meng
2025	J	`jnl`	FMW-Net: a first-order meta-weight-net approach for sample weighting. Int. J. Mach. Learn. Cybern. Yubo Zhou, Jun Shu, Junmin Liu, Deyu Meng
2025	J	`jnl`	Feed Two Birds with One Scone: Exploiting Function-Space Regularization for Both OOD Robustness and ID Fine-Tuning Performance. CoRR Xiang Yuan, Jun Shu, Deyu Meng, Zongben Xu
2025	J	`jnl`	Improve Noise Tolerance of Robust Loss via Noise-Awareness. IEEE Trans. Neural Networks Learn. Syst. Kehui Ding, Jun Shu, Deyu Meng, Zongben Xu
2025	A*	`conf`	Improving Memory Efficiency for Training KANs via Meta Learning. ICML Zhangchi Zhao, Jun Shu, Deyu Meng, Zongben Xu
2025	J	`jnl`	Improving Memory Efficiency for Training KANs via Meta Learning. CoRR Zhangchi Zhao, Jun Shu, Deyu Meng, Zongben Xu
2025	J	`jnl`	Removing Multiple Hybrid Adverse Weather in Video via a Unified Model. CoRR Yecong Wan, Mingwen Shao, Yuanshuo Cheng, Jun Shu, Shuigen Wang
2024	J	`jnl`	Are Dense Labels Always Necessary for 3D Object Detection from Point Cloud? CoRR Chenqiang Gao, Chuandong Liu, Jun Shu, Fangcen Liu, Jiang Liu, Luyu Yang, Xinbo Gao, Deyu Meng
2024	J	`jnl`	CWGA-Net: Center-Weighted Graph Attention Network for 3D object detection from point clouds. Image Vis. Comput. Jun Shu, Qi Wu, Liang Tan, Xinyi Shu, Fengchun Wan
2024	J	`jnl`	Colorectal Cancer Segmentation Algorithm Based on Deep Features from Enhanced CT Images. Comput. Mater. Continua Shi Qiu, Hongbing Lu, Jun Shu, Ting Liang, Tao Zhou
2024	J	`jnl`	MUMA: A Multi-Omics Meta-Learning Algorithm for Data Interpretation and Classification. IEEE J. Biomed. Health Informatics Hai-Hui Huang, Jun Shu, Yong Liang
2024	A*	`conf`	On the Noise Robustness of In-Context Learning for Text Generation. NeurIPS Hongfu Gao, Feipeng Zhang, Wenyu Jiang, Jun Shu, Feng Zheng, Hongxin Wei
2024	J	`jnl`	On the Noise Robustness of In-Context Learning for Text Generation. CoRR Hongfu Gao, Feipeng Zhang, Wenyu Jiang, Jun Shu, Feng Zheng, Hongxin Wei
2024	J	`jnl`	Quantitative assessment and dynamic characteristic measurement of regional resilience: From the perspective of post-earthquakes effects. J. Comput. Sci. Suyue Han, Bin Liu, Jun Shu, Zuli He, Xinyu Xia, Ke Pan, Hourui Ren
2024	J	`jnl`	SOA: Seed point offset attention for indoor 3D object detection in point clouds. Comput. Graph. Jun Shu, Shiqi Yu, Xinyi Shu, Jiewen Hu
2023	J	`jnl`	A Hyper-weight Network for Hyperspectral Image Denoising. CoRR Xiangyu Rui, Xiangyong Cao, Jun Shu, Qian Zhao, Deyu Meng
2023	J	`jnl`	A Probabilistic Formulation for Meta-Weight-Net. IEEE Trans. Neural Networks Learn. Syst. Qian Zhao, Jun Shu, Xiang Yuan, Ziming Liu, Deyu Meng
2023	J	`jnl`	CMW-Net: Learning a Class-Aware Sample Weighting Mapping for Robust Deep Learning. IEEE Trans. Pattern Anal. Mach. Intell. Jun Shu, Xiang Yuan, Deyu Meng, Zongben Xu
2023	J	`jnl`	DAC-MR: Data Augmentation Consistency Based Meta-Regularization for Meta-Learning. CoRR Jun Shu, Xiang Yuan, Deyu Meng, Zongben Xu
2023	A*	`conf`	Dual Meta-Learning with Longitudinally Generalized Regularization for One-Shot Brain Tissue Segmentation Across the Human Lifespan. ICCV Yongheng Sun, Fan Wang, Jun Shu, Haifeng Wang, Li Wang, Deyu Meng, Chunfeng Lian
2023	J	`jnl`	Dual Meta-Learning with Longitudinally Generalized Regularization for One-Shot Brain Tissue Segmentation Across the Human Lifespan. CoRR Yongheng Sun, Fan Wang, Jun Shu, Haifeng Wang, Li Wang, Deyu Meng, Chunfeng Lian
2023	J	`jnl`	Improve Noise Tolerance of Robust Loss via Noise-Awareness. CoRR Kehui Ding, Jun Shu, Deyu Meng, Zongben Xu
2023	J	`jnl`	Learning an Explicit Hyper-parameter Prediction Function Conditioned on Tasks. J. Mach. Learn. Res. Jun Shu, Deyu Meng, Zongben Xu
2023	J	`jnl`	MLR-SNet: Transferable LR Schedules for Heterogeneous Tasks. IEEE Trans. Pattern Anal. Mach. Intell. Jun Shu, Yanwen Zhu, Qian Zhao, Deyu Meng, Zongben Xu
2023	J	`jnl`	Meta-BN Net for few-shot learning. Frontiers Comput. Sci. Wei Gao, Mingwen Shao, Jun Shu, Xinkai Zhuang
2023	J	`jnl`	Variational Label Enhancement. IEEE Trans. Pattern Anal. Mach. Intell. Ning Xu, Jun Shu, RenYi Zheng, Xin Geng, Deyu Meng, Min-Ling Zhang
2022	J	`jnl`	A Collaborative Brain-Computer Interface Framework for Enhancing Group Detection Performance of Dynamic Visual Targets. Comput. Intell. Neurosci. Xiyu Song, Ying Zeng, Li Tong, Jun Shu, Qiang Yang, Jian Kou, Minghua Sun, Bin Yan
2022	J	`jnl`	CMW-Net: Learning a Class-Aware Sample Weighting Mapping for Robust Deep Learning. CoRR Jun Shu, Xiang Yuan, Deyu Meng, Zongben Xu
2022	J	`jnl`	Diagnosing Batch Normalization in Class Incremental Learning. CoRR Minghao Zhou, Quanziang Wang, Jun Shu, Qian Zhao, Deyu Meng
2022	J	`jnl`	EEG Identity Authentication in Multi-Domain Features: A Multi-Scale 3D-CNN Approach. Frontiers Neurorobotics Rongkai Zhang, Ying Zeng, Li Tong, Jun Shu, Runnan Lu, Zhongrui Li, Kai Yang, Bin Yan
2022	J	`jnl`	Linking Multi-Layer Dynamical GCN With Style-Based Recalibration CNN for EEG-Based Emotion Recognition. Frontiers Neurorobotics Guangcheng Bao, Kai Yang, Li Tong, Jun Shu, Rongkai Zhang, Linyuan Wang, Bin Yan, Ying Zeng
2022	J	`jnl`	MSIS: Multispectral Instance Segmentation Method for Power Equipment. Comput. Intell. Neurosci. Jun Shu, Juncheng He, Ling Li
2022	J	`jnl`	Multinetwork Collaborative Feature Learning for Semisupervised Person Reidentification. IEEE Trans. Neural Networks Learn. Syst. Sanping Zhou, Jinjun Wang, Jun Shu, Deyu Meng, Le Wang, Nanning Zheng
2022	J	`jnl`	SLNL: A novel method for gene selection and phenotype classification. Int. J. Intell. Syst. Hai-Hui Huang, Naiqi Wu, Yong Liang, Xindong Peng, Jun Shu
2021	C	`conf`	A Superpixel-Based Neighborhood Polarimetric Covariance Matrix for Polsar Ship Detection. IGARSS Tao Zhang, Jun Shu, Chengtao Ji, Yanlei Du, Tao Liu, Jian Yang
2021	J	`jnl`	A novel gateway node reconfiguration method of IOT based on hierarchical coding particle swarm optimization. Web Intell. Wei Shu, Dajiang He, Jun Shu
2021	—	`conf`	An Enhanced HDCA Algorithm for Single-trial EEG Classification. CCEAI Xiyu Song, Ying Zeng, Jun Shu, Chi Zhang, Li Tong, Bin Yan
2021	J	`jnl`	Data Augmentation for EEG-Based Emotion Recognition Using Generative Adversarial Networks. Frontiers Comput. Neurosci. Guangcheng Bao, Bin Yan, Li Tong, Jun Shu, Linyuan Wang, Kai Yang, Ying Zeng
2021	J	`jnl`	Learning an Explicit Hyperparameter Prediction Policy Conditioned on Tasks. CoRR Jun Shu, Deyu Meng, Zongben Xu
2021	A*	`conf`	Learning to Purify Noisy Labels via Meta Soft Label Corrector. AAAI Yichen Wu, Jun Shu, Qi Xie, Qian Zhao, Deyu Meng
2020	J	`jnl`	A Novel Beam Steerable Antenna Employing Tunable High Impedance Surface With Liquid Crystal. IEEE Access Jun Shu, Yueping Zhang, Ziyang Zheng
2020	J	`jnl`	Learning Adaptive Loss for Robust Learning with Noisy Labels. CoRR Jun Shu, Qian Zhao, Keyu Chen, Zongben Xu, Deyu Meng
2020	J	`jnl`	Learning to Purify Noisy Labels via Meta Soft Label Corrector. CoRR Yichen Wu, Jun Shu, Qi Xie, Qian Zhao, Deyu Meng
2020	J	`jnl`	Meta Feature Modulator for Long-tailed Recognition. CoRR Renzhen Wang, Kaiqin Hu, Yanwen Zhu, Jun Shu, Qian Zhao, Deyu Meng
2020	J	`jnl`	Meta Transition Adaptation for Robust Deep Learning with Noisy Labels. CoRR Jun Shu, Qian Zhao, Zongben Xu, Deyu Meng
2020	J	`jnl`	Meta-LR-Schedule-Net: Learned LR Schedules that Scale and Generalize. CoRR Jun Shu, Yanwen Zhu, Qian Zhao, Deyu Meng, Zongben Xu
2020	J	`jnl`	Select-ProtoNet: Learning to Select for Few-Shot Disease Subtype Prediction. CoRR Ziyi Yang, Jun Shu, Yong Liang, Deyu Meng, Zongben Xu
2020	A*	`conf`	Variational Label Enhancement. ICML Ning Xu, Jun Shu, Yun-Peng Liu, Xin Geng
2019	J	`jnl`	A Bi-Level Approach for Determining Optimal Dynamic Retail Electricity Pricing of Large Industrial Customers. IEEE Trans. Smart Grid Jun Shu, Rui Guan, Lei Wu, Bing Han
2019	J	`jnl`	EEG-Based Identity Authentication Framework Using Face Rapid Serial Visual Presentation with Optimized Channels. Sensors Ying Zeng, Qunjian Wu, Kai Yang, Li Tong, Bin Yan, Jun Shu, Dezhong Yao
2019	J	`jnl`	Identity Authentication Using Portable Electroencephalography Signals in Resting States. IEEE Access Rongkai Zhang, Bin Yan, Li Tong, Jun Shu, Xiaoxiao Song, Ying Zeng
2019	A*	`conf`	Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting. NeurIPS Jun Shu, Qi Xie, Lixuan Yi, Qian Zhao, Sanping Zhou, Zongben Xu, Deyu Meng
2019	J	`jnl`	Push the Student to Learn Right: Progressive Gradient Correcting by Meta-learner on Corrupted Labels. CoRR Jun Shu, Qi Xie, Lixuan Yi, Qian Zhao, Sanping Zhou, Zongben Xu, Deyu Meng
2018	J	`jnl`	Small Sample Learning in Big Data Era. CoRR Jun Shu, Zongben Xu, Deyu Meng
2016	J	`jnl`	Bridging Inference Based Sentence Linking Model for Semantic Coherence. Int. J. Cogn. Informatics Nat. Intell. Weidong Liu, Xiangfeng Luo, Jun Shu, Dandan Jiang
2015	—	`conf`	A Topic Discovery Model Based on Content and Emotion in Microblogs. SKG Jun Shu, Weidong Liu, Xiangfeng Luo
2015	—	`conf`	How the bridging inference links unordered sentences for semantic coherence. ICCI*CC Weidong Liu, Xiangfeng Luo, Jun Shu
2008	—	`conf`	A low supply-dependence fully-MOSFET voltage reference for low-voltage and low-power. APCCAS Jun Shu, Min Cai
2008	Misc	`conf`	Simulation of process execution monitoring and adjustment schemes. WSC Russell R. Barton, Jun Shu
2007	J	`jnl`	Extracting gene regulation information for cancer classification. Pattern Recognit. Hong-Qiang Wang, Hau-San Wong, De-Shuang Huang, Jun Shu
2006	J	`jnl`	Smart pay access control via incentive alignment. IEEE J. Sel. Areas Commun. Jun Shu, Pravin Varaiya
2003	J	`jnl`	Mechanism Design for Networking Research. Inf. Syst. Frontiers Jun Shu, Pravin Varaiya
2003	A*	`conf`	Pricing Network Services. INFOCOM Jun Shu, Pravin Varaiya