Sheng-Jun Huang

ORCID

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 96

Top Venues

Publications

Feng Sun, Ming-Kun Xie, Sheng-Jun Huang
A Deep Model for Partial Multi-label Image Classification with Curriculum-based Disambiguation. Mach. Intell. Res. 21 (4) (2024)
Chen-Chen Zong, Ye-Wen Wang, Ming-Kun Xie, Sheng-Jun Huang
Dirichlet-Based Prediction Calibration for Learning with Noisy Labels. CoRR (2024)
Hamed Hemati, Lorenzo Pellegrini, Xiaotian Duan, Zixuan Zhao, Fangfang Xia, Marc Masana, Benedikt Tscheschner, Eduardo Veas, Yuxiang Zheng, Shiji Zhao, Shao-Yuan Li, Sheng-Jun Huang, Vincenzo Lomonaco, Gido M. van de Ven
Continual Learning in the Presence of Repetition. CoRR (2024)
Ming-Kun Xie, Jiahao Xiao, Pei Peng, Gang Niu, Masashi Sugiyama, Sheng-Jun Huang
Counterfactual Reasoning for Multi-Label Image Classification via Patching-Based Training. CoRR (2024)
Hao-Zhe Liu, Ming-Kun Xie, Chen-Chen Zong, Sheng-Jun Huang
Asymmetric Beta Loss for Evidence-Based Safe Semi-Supervised Multi-Label Learning. KDD (2024)
Chen-Chen Zong, Ye-Wen Wang, Kun-Peng Ning, Haibo Ye, Sheng-Jun Huang
Bidirectional Uncertainty-Based Active Learning for Open Set Annotation. CoRR (2024)
Jia-Yao Chen, Shao-Yuan Li, Sheng-Jun Huang, Songcan Chen, Lei Wang, Ming-Kun Xie
UNM: A Universal Approach for Noisy Multi-Label Learning. IEEE Trans. Knowl. Data Eng. 36 (9) (2024)
Dong Liang, Yue Sun, Yun Du, Songcan Chen, Sheng-Jun Huang
Relative Difficulty Distillation for Semantic Segmentation. CoRR (2024)
Sheng-Jun Huang, Yi Li, Yiming Sun, Ying-Peng Tang
One-shot Active Learning Based on Lewis Weight Sampling for Multiple Deep Models. CoRR (2024)
Chen-Chen Zong, Ye-Wen Wang, Ming-Kun Xie, Sheng-Jun Huang
Dirichlet-Based Prediction Calibration for Learning with Noisy Labels. AAAI (2024)
Wenhai Wan, Xinrui Wang, Ming-Kun Xie, Shao-Yuan Li, Sheng-Jun Huang, Songcan Chen
Unlocking the Power of Open Set: A New Perspective for Open-Set Noisy Label Learning. AAAI (2024)
Jiahao Xiao, Ming-Kun Xie, Heng-Bo Fan, Gang Niu, Masashi Sugiyama, Sheng-Jun Huang
Dual-Decoupling Learning and Metric-Adaptive Thresholding for Semi-Supervised Multi-Label Learning. CoRR (2024)
Sheng-Jun Huang, Yi Li, Yiming Sun, Ying-Peng Tang
One-shot Active Learning Based on Lewis Weight Sampling for Multiple Deep Models. ICLR (2024)
Yuyan Zhou, Ye Li, Lei Feng, Sheng-Jun Huang
Improving Generalization of Deep Neural Networks by Optimum Shifting. CoRR (2024)
Jing-Cheng Pang, Heng-Bo Fan, Pengyuan Wang, Jiahao Xiao, Nan Tang, Si-Hang Yang, Chengxing Jia, Sheng-Jun Huang, Yang Yu
Empowering Language Models with Active Inquiry for Deeper Understanding. CoRR (2024)
Penghui Yang, Ming-Kun Xie, Chen-Chen Zong, Lei Feng, Gang Niu, Masashi Sugiyama, Sheng-Jun Huang
Multi-Label Knowledge Distillation. CoRR (2023)
Dong Liang, Jing-Wei Zhang, Ying-Peng Tang, Sheng-Jun Huang
MUS-CDB: Mixed Uncertainty Sampling With Class Distribution Balancing for Active Annotation in Aerial Object Detection. IEEE Trans. Geosci. Remote. Sens. 61 (2023)
Ming-Kun Xie, Jiahao Xiao, Gang Niu, Masashi Sugiyama, Sheng-Jun Huang
Class-Distribution-Aware Pseudo Labeling for Semi-Supervised Multi-Label Learning. CoRR (2023)
Yuyan Zhou, Dong Liang, Songcan Chen, Sheng-Jun Huang, Shuo Yang, Chongyi Li
Improving Lens Flare Removal with General Purpose Pipeline and Multiple Light Sources Recovery. CoRR (2023)
Ming-Kun Xie, Jiahao Xiao, Hao-Zhe Liu, Gang Niu, Masashi Sugiyama, Sheng-Jun Huang
Class-Distribution-Aware Pseudo-Labeling for Semi-Supervised Multi-Label Learning. NeurIPS (2023)
Ye Shi, Shao-Yuan Li, Sheng-Jun Huang
Learning from crowds with sparse and imbalanced annotations. Mach. Learn. 112 (6) (2023)
Ming-Kun Xie, Sheng-Jun Huang
CCMN: A General Framework for Learning With Class-Conditional Multi-Label Noise. IEEE Trans. Pattern Anal. Mach. Intell. 45 (1) (2023)
Ling Li, Dong Liang, Yuanhang Gao, Sheng-Jun Huang, Songcan Chen
ALL-E: Aesthetics-guided Low-light Image Enhancement. CoRR (2023)
Ling Li, Dong Liang, Yuanhang Gao, Sheng-Jun Huang, Songcan Chen
ALL-E: Aesthetics-guided Low-light Image Enhancement. IJCAI (2023)
Yuyan Zhou, Dong Liang, Songcan Chen, Sheng-Jun Huang, Shuo Yang, Chongyi Li
Improving Lens Flare Removal with General-Purpose Pipeline and Multiple Light Sources Recovery. ICCV (2023)
Ye Li, Songcan Chen, Sheng-Jun Huang
Implicit Stochastic Gradient Descent for Training Physics-Informed Neural Networks. AAAI (2023)
Penghui Yang, Ming-Kun Xie, Chen-Chen Zong, Lei Feng, Gang Niu, Masashi Sugiyama, Sheng-Jun Huang
Multi-Label Knowledge Distillation. ICCV (2023)
Ye Li, Songcan Chen, Sheng-Jun Huang
Implicit Stochastic Gradient Descent for Training Physics-informed Neural Networks. CoRR (2023)
Ying-Peng Tang, Xiu-Shen Wei, Borui Zhao, Sheng-Jun Huang
QBox: Partial Transfer Learning With Active Querying for Object Detection. IEEE Trans. Neural Networks Learn. Syst. 34 (6) (2023)
Ming-Kun Xie, Jiahao Xiao, Sheng-Jun Huang
Label-Aware Global Consistency for Multi-Label Learning with Single Positive Labels. NeurIPS (2022)
Lue Tao, Lei Feng, Hongxin Wei, Jinfeng Yi, Sheng-Jun Huang, Songcan Chen
Can Adversarial Training Be Manipulated By Non-Robust Features? CoRR (2022)
Dong Liang, Jing-Wei Zhang, Ying-Peng Tang, Sheng-Jun Huang
MUS-CDB: Mixed Uncertainty Sampling with Class Distribution Balancing for Active Annotation in Aerial Object Detection. CoRR (2022)
Yiwen Pang, Ye Li, Sheng-Jun Huang
A Tailored Physics-informed Neural Network Method for Solving Singularly Perturbed Differential Equations. ACAI (2022)
Ming-Kun Xie, Sheng-Jun Huang
Partial Multi-Label Learning With Noisy Label Identification. IEEE Trans. Pattern Anal. Mach. Intell. 44 (7) (2022)
Lue Tao, Lei Feng, Hongxin Wei, Jinfeng Yi, Sheng-Jun Huang, Songcan Chen
Can Adversarial Training Be Manipulated By Non-Robust Features? NeurIPS (2022)
Feng Sun, Ming-Kun Xie, Sheng-Jun Huang
A Deep Model for Partial Multi-Label Image Classification with Curriculum Based Disambiguation. CoRR (2022)
Kun-Peng Ning, Xun Zhao, Yu Li, Sheng-Jun Huang
Active Learning for Open-set Annotation. CoRR (2022)
Shao-Yuan Li, Ye Shi, Sheng-Jun Huang, Songcan Chen
Improving deep label noise learning with dual active label correction. Mach. Learn. 111 (3) (2022)
Kun-Peng Ning, Xun Zhao, Yu Li, Sheng-Jun Huang
Active Learning for Open-set Annotation. CVPR (2022)
Ying-Peng Tang, Sheng-Jun Huang
Active Learning for Multiple Target Models. NeurIPS (2022)
Bo-Shi Zou, Ming-Kun Xie, Sheng-Jun Huang
Meta Objective Guided Disambiguation for Partial Label Learning. CoRR (2022)
Chen-Chen Zong, Zheng-Tao Cao, Hong-Tao Guo, Yun Du, Ming-Kun Xie, Shao-Yuan Li, Sheng-Jun Huang
Noise-Robust Bidirectional Learning with Dynamic Sample Reweighting. CoRR (2022)
Kun-Peng Ning, Hu Xu, Kun Zhu, Sheng-Jun Huang
Co-Imitation Learning without Expert Demonstration. CoRR (2021)
Lue Tao, Lei Feng, Jinfeng Yi, Sheng-Jun Huang, Songcan Chen
Provable Defense Against Delusive Poisoning. CoRR (2021)
Ye Shi, Shao-Yuan Li, Sheng-Jun Huang
Learning from Crowds with Sparse and Imbalanced Annotations. CoRR (2021)
Min-Ling Zhang, Sheng-Jun Huang, Mingsheng Long
Preface. J. Comput. Sci. Technol. 36 (3) (2021)
Rui Zhang, Qi Zhu, Xiangyu Xu, Daoqiang Zhang, Sheng-Jun Huang
Visual-guided attentive attributes embedding for zero-shot learning. Neural Networks 143 (2021)
Kun-Peng Ning, Lue Tao, Songcan Chen, Sheng-Jun Huang
Improving Model Robustness by Adaptively Correcting Perturbation Levels with Active Queries. CoRR (2021)
Meng-Long Wei, Shao-Yuan Li, Sheng-Jun Huang
Weakly Supervised Crowdsourcing Learning Based on Adversarial Consensus. CSCI (2021)
Kun-Peng Ning, Lue Tao, Songcan Chen, Sheng-Jun Huang
Improving Model Robustness by Adaptively Correcting Perturbation Levels with Active Queries. AAAI (2021)
Lue Tao, Lei Feng, Jinfeng Yi, Sheng-Jun Huang, Songcan Chen
Better Safe Than Sorry: Preventing Delusive Adversaries with Adversarial Training. NeurIPS (2021)
Shao-Yuan Li, Sheng-Jun Huang, Songcan Chen
Crowdsourcing aggregation with deep Bayesian learning. Sci. China Inf. Sci. 64 (3) (2021)
Xiuyi Jia, Zechao Li, Xiang Zheng, Weiwei Li, Sheng-Jun Huang
Label Distribution Learning with Label Correlations on Local Samples. IEEE Trans. Knowl. Data Eng. 33 (4) (2021)
Ying-Peng Tang, Sheng-Jun Huang
Dual Active Learning for Both Model and Data Selection. IJCAI (2021)
Ming-Kun Xie, Sheng-Jun Huang
Multi-Label Learning with Pairwise Relevance Ordering. NeurIPS (2021)
Jia-Lue Chen, Jia-Jia Cai, Yuan Jiang, Sheng-Jun Huang
PU Active Learning for Recommender Systems. Neural Process. Lett. 53 (5) (2021)
Sheng-Jun Huang, Chen-Chen Zong, Kun-Peng Ning, Hai-Bo Ye
Asynchronous Active Learning with Distributed Label Querying. IJCAI (2021)
Ming-Kun Xie, Sheng-Jun Huang
CCMN: A General Framework for Learning with Class-Conditional Multi-Label Noise. CoRR (2021)
Ming-Kun Xie, Feng Sun, Sheng-Jun Huang
Partial Multi-Label Learning with Meta Disambiguation. KDD (2021)
Chuanxing Geng, Sheng-Jun Huang, Songcan Chen
Recent Advances in Open Set Recognition: A Survey. IEEE Trans. Pattern Anal. Mach. Intell. 43 (10) (2021)
Qi Zhu, Nuoya Xu, Sheng-Jun Huang, Jianjun Qian, Daoqiang Zhang
Adaptive feature weighting for robust Lp-norm sparse representation with application to biometric image classification. Int. J. Mach. Learn. Cybern. 11 (2) (2020)
Guo-Xiang Li, Yao-Feng Tu, Sheng-Jun Huang
Cross-Task and Cross-Model Active Learning with Meta Features. ICBDS (2020)
Zhao-Yang Liu, Shao-Yuan Li, Songcan Chen, Yao Hu, Sheng-Jun Huang
Uncertainty Aware Graph Gaussian Process for Semi-Supervised Learning. AAAI (2020)
Qi Zhu, Rui Zhang, Sheng-Jun Huang, Zheng Zhang, Daoqiang Zhang
LGSLRR: Towards fusing discriminative ordinal local and global structured low-rank representation for image recognition. Inf. Sci. 539 (2020)
Sheng-Jun Huang, Guo-Xiang Li, Wen-Yu Huang, Shao-Yuan Li
Incremental Multi-Label Learning with Active Queries. J. Comput. Sci. Technol. 35 (2) (2020)
Kun-Peng Ning, Sheng-Jun Huang
Reinforcement Learning with Supervision from Noisy Demonstrations. CoRR (2020)
Wei Shao, Sheng-Jun Huang, Mingxia Liu, Daoqiang Zhang
Querying Representative and Informative Super-Pixels for Filament Segmentation in Bioimages. IEEE ACM Trans. Comput. Biol. Bioinform. 17 (4) (2020)
Ming-Kun Xie, Sheng-Jun Huang
Partial Multi-Label Learning with Noisy Label Identification. AAAI (2020)
Yifan Yan, Sheng-Jun Huang, Shaoyi Chen, Meng Liao, Jin Xu
Active Learning with Query Generation for Cost-Effective Text Classification. AAAI (2020)
Tian-Zuo Wang, Xi-Zhu Wu, Sheng-Jun Huang, Zhi-Hua Zhou
Cost-effectively Identifying Causal Effects When Only Response Variable is Observable. ICML (2020)
Ming-Kun Xie, Sheng-Jun Huang
Semi-Supervised Partial Multi-Label Learning. ICDM (2020)
Qi Zhu, Xiangyu Xu, Ning Yuan, Zheng Zhang, Donghai Guan, Sheng-Jun Huang, Daoqiang Zhang
Latent correlation embedded discriminative multi-modal data fusion. Signal Process. 171 (2020)
Ying-Peng Tang, Sheng-Jun Huang
Self-Paced Active Learning: Query the Right Thing at the Right Time. AAAI (2019)
Zhao-Yang Liu, Sheng-Jun Huang
Active Sampling for Open-Set Classification without Initial Annotation. AAAI (2019)
Ming-Kun Xie, Sheng-Jun Huang
Learning Class-Conditional GANs with Active Sampling. KDD (2019)
Sheng-Jun Huang, Wei Gao, Zhi-Hua Zhou
Fast Multi-Instance Multi-Label Learning. IEEE Trans. Pattern Anal. Mach. Intell. 41 (11) (2019)
Ying-Peng Tang, Guo-Xiang Li, Sheng-Jun Huang
ALiPy: Active Learning in Python. CoRR (2019)
Tian-Zuo Wang, Sheng-Jun Huang, Zhi-Hua Zhou
Towards Identifying Causal Relation Between Instances and Labels. SDM (2019)
Jia-Jia Cai, Jun Tang, Qing-Guo Chen, Yao Hu, Xiaobo Wang, Sheng-Jun Huang
Multi-View Active Learning for Video Recommendation. IJCAI (2019)
Chong Liu, Peng Zhao, Sheng-Jun Huang, Yuan Jiang, Zhi-Hua Zhou
Dual Set Multi-Label Learning. AAAI (2018)
Ming-Kun Xie, Sheng-Jun Huang
Partial Multi-Label Learning. AAAI (2018)
Nengneng Gao, Sheng-Jun Huang, Yifan Yan, Songcan Chen
Cross modal similarity learning with active queries. Pattern Recognit. 75 (2018)
Sheng-Jun Huang, Miao Xu, Ming-Kun Xie, Masashi Sugiyama, Gang Niu, Songcan Chen
Active Feature Acquisition with Supervised Matrix Completion. CoRR (2018)
Chuanxing Geng, Sheng-Jun Huang, Songcan Chen
Recent Advances in Open Set Recognition: A Survey. CoRR (2018)
Feihu Huang, Songcan Chen, Sheng-Jun Huang
Joint Estimation of Multiple Conditional Gaussian Graphical Models. IEEE Trans. Neural Networks Learn. Syst. 29 (7) (2018)
Yifan Yan, Sheng-Jun Huang
Cost-Effective Active Learning for Hierarchical Multi-Label Classification. IJCAI (2018)
Muhammad Yousefnezhad, Sheng-Jun Huang, Daoqiang Zhang
WoCE: A framework for Clustering Ensemble by Exploiting the Wisdom of Crowds Theory. IEEE Trans. Cybern. 48 (2) (2018)
Sheng-Jun Huang, Miao Xu, Ming-Kun Xie, Masashi Sugiyama, Gang Niu, Songcan Chen
Active Feature Acquisition with Supervised Matrix Completion. KDD (2018)
Sheng-Jun Huang, Jia-Wei Zhao, Zhao-Yang Liu
Cost-Effective Training of Deep CNNs with Active Model Adaptation. KDD (2018)
Sheng-Jun Huang, Jia-Wei Zhao, Zhao-Yang Liu
Cost-Effective Training of Deep CNNs with Active Model Adaptation. CoRR (2018)
Sheng-Jun Huang, Nengneng Gao, Songcan Chen
Multi-instance multi-label active learning. IJCAI (2017)
Yi Ding, Sheng-Jun Huang, Chen Zu, Daoqiang Zhang
Margin Distribution Logistic Machine. SDM (2017)
Sheng-Jun Huang, Jia-Lve Chen, Xin Mu, Zhi-Hua Zhou
Cost-Effective Active Learning from Diverse Labelers. IJCAI (2017)
Muhammad Yousefnezhad, Sheng-Jun Huang, Daoqiang Zhang
WoCE: a framework for clustering ensemble by exploiting the wisdom of Crowds theory. CoRR (2016)
Nengneng Gao, Sheng-Jun Huang, Songcan Chen
Multi-label active learning by model guided distribution matching. Frontiers Comput. Sci. 10 (5) (2016)
Sheng-Jun Huang, Songcan Chen
Transfer Learning with Active Queries from Source Domain. IJCAI (2016)
Sheng-Jun Huang, Songcan Chen, Zhi-Hua Zhou
Multi-Label Active Learning: Query Type Matters. IJCAI (2015)
Sheng-Jun Huang, Wei Gao, Zhi-Hua Zhou
Fast Multi-Instance Multi-Label Learning. AAAI (2014)
Jian-Sheng Wu, Sheng-Jun Huang, Zhi-Hua Zhou
Genome-Wide Protein Function Prediction through Multi-Instance Multi-Label Learning. IEEE ACM Trans. Comput. Biol. Bioinform. 11 (5) (2014)
Sheng-Jun Huang, Rong Jin, Zhi-Hua Zhou
Active Learning by Querying Informative and Representative Examples. IEEE Trans. Pattern Anal. Mach. Intell. 36 (10) (2014)

Sheng-Jun Huang.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Sheng-Jun Huang