In Press
[J-5] Wenrong Chen, Zhengming Ding, Yong Zang, Xiaowen Liu. Characterization of proteoform post-translational modifications by top-down and bottom-up mass spectrometry in conjunction with annotations. Journal of Proteome Research, [pdf], 2023.
[J-4] Rie R. Yotsu, Zhengming Ding, Jihun Hamm, Ronald E. Blanton. Deep learning for AI-based diagnosis of skin-related neglected tropical diseases: A pilot study. PLOS Neglected Tropical Diseases, [pdf], 2023.
[J-3] Taotao Jing, Haifeng Xia, Jihun Hamm, Zhengming Ding. Marginalized Augmented Few-Shot Domain Adaptation. IEEE Transactions on Neural Networks and Learning Systems (TNNLS), [pdf] (Early Access).
[J-2] Bingrong Xu, Zhigang Zeng, Cheng Lian, Zhengming Ding. Generative Mixup Networks for Zero-shot Learning. IEEE Transactions on Neural Networks and Learning Systems (TNNLS) [pdf] (Early Access).
[J-1] Jiahua Dong, Yang Cong, Gan Sun, Zhen Fang, Zhengming Ding. Where and How to Transfer: Knowledge Aggregation-Induced Transferability Perception for Unsupervised Domain Adaptation. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), [pdf] (Early Access).
Year 2023
[J-6] Zheng Chen, Zhengming Ding, David Crandall, Lantao Liu. Polyline Generative Navigable Space Segmentation for Autonomous Visual
Navigation. IEEE Robotics and Automation Letters (RA-L) [pdf], Volume: 8, Issue: 4, Page(s): 2054 - 2061, 2023
[J-5] Zhengming Zhang, Renran Tian, Rini Sherony, Joshua Domeyer, Zhengming Ding. Attention-based Interrelation Modeling for Explainable Automated Driving. IEEE Transactions on Intelligent Vehicles (TIV) [pdf], Volume: 8, Issue: 2, Page(s): 1564 - 1573, 2023
[J-4] Haifeng Xia, Taotao Jing, Zhengming Ding. Maximum Structural Generation Discrepancy for Unsupervised Domain Adaptation. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) [pdf], Volume: 45, Issue: 3, Page(s): 3434 - 3445, 2023
[J-3] Lichen Wang, Zhengming Ding, Kasey Lee, Seungju Han, Jae-joon Han, Changkyu Choi, Yun Fu. Generative Multi-Label Correlation Learning. ACM Transactions on Knowledge Discovery from Data (TKDD) [pdf], Volume 17, Issue 2, Article No.: 18, pp 1–19, 2023
[J-2] Haifeng Xia, Taotao Jing, Zhengming Ding. Generative Inference Network for Imbalanced Domain Generalization. IEEE Transactions on Image Processing (TIP), Volume: 32,
Page(s): 1694 - 1704, 2023.
[J-1] Gan Sun, Yang Cong, Xu Tang, Zhengming Ding, and Haibin Yu. Hierarchical Lifelong Machine Learning with "Watchdog". IEEE Transactions on Big Data (TBD), Volume: 9, Issue: 1, 01 February 2023
Year 2022
[J-7] Taotao Jing, Haifeng Xia, Jihun Hamm, Zhengming Ding. Augmented Multi-Modality Fusion for Generalized Zero-Shot Sketch-based Visual Retrieval. IEEE Transactions on Image Processing (TIP), Volume: 31, Page(s): 3657 - 3668, 2022 [pdf].
[J-6] Bingrong Xu, Zhigang Zeng, Cheng Lian, Zhengming Ding. Few-Shot Domain Adaptation via Mixup Optimal Transport. IEEE Transactions on Image Processing (TIP), vol. 31, pp. 2518-2528, 2022.
[J-5] Gan Sun, Yang Cong, Jiahua Dong, Yuyang Liu, Zhengming Ding, Haibin Yu. What and How: Generalized Lifelong Spectral Clustering via Dual Memory. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Volume: 44, Issue: 7, Page(s): 3895-3908, 2022[pdf].
[J-4] Qiang Wang, Gan Sun, Jiahua Dong, Qianqian Wang, Zhengming Ding. Continuous Multi-View Human Action Recognition. IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), Volume: 32, Issue: 6, Page(s): 3603-3614, 2022.
[J-3] Jing Sun, Zhihui Wang, Wei Wang, Mingshi Yan, Haojie Li, Fuming Sun, Zhengming Ding. Joint Adaptive Dual Graph and Feature Selection for Domain Adaptation. IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), volume: 32, issue: 3, page(s): 1453 - 1466, 2022 [pdf].
[J-2] Lichen Wang, Zhengming Ding, Yun Fu. Generic Multi-label Annotation via Adaptive Graph and Marginalized Augmentation. ACM Transactions on Knowledge Discovery from Data (TKDD), volume 16, issue 1, pp 1–20, 2022
[J-1] Kai Li, Zhengming Ding, Kunpeng Li, Yulun Zhang, and Yun Fu. Vehicle and Person Re-Identification with Support Neighbor Loss. IEEE Transactions on Neural Networks and Learning Systems (TNNLS),volume: 33, issue: 2, page(s): 826 - 838, 2022 [pdf]
Year 2021
[J-6] Taotao Jing, Bingrong Xu, Zhengming Ding. Towards Fair Knowledge Transfer for Imbalanced Domain Adaptation. IEEE Transactions on Image Processing (TIP), vol. 30, pp. 8200-8211, 2021
[J-5] Jingjing Li, Erpeng Chen, Zhengming Ding, Lei Zhu, Ke Lu, and Heng-Tao Shen. Maximum Density Divergence for Domain Adaptation. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), volume: 43, issue: 11, page(s): 3918 - 3930, 2021
[J-4] Tongxin Wang, Wei Shao, Zhi Huang, Haixu Tang, Jie Zhang, Zhengming Ding, and Kun Huang. MOGONET integrates multi-omics data using graphconvolutional networks allowing patientclassification and biomarker identification. Nature Communication, vol. 12, no. 1, pp: 1-13, 2021 [pdf].
[J-3] Wei Wang, Shenglun Chen, Yuankai Xiang, Jing Sun, Haojie Li, Zhihui Wang, Fuming Sun, Zhengming Ding, Baopu Li. Sparsely-labeled source assisted domain adaptation. Pattern Recognition. Volume 112, Pages 107803, 2021
[J-2] Bingrong Xu, Zhigang Zeng, Cheng Lian, Zhengming Ding. Semi-Supervised Low-Rank Semantics Grouping for Zero-Shot Learning. IEEE Transactions on Image Processing (TIP), vol. 30, pp. 2207 - 2219, 2021 [pdf]
[J-1] Qianqian Wang, Zhengming Ding, Zhiqiang Tao, Quanxue Gao, Yun Fu. Generative Partial Multi-View Clustering With Adaptive Fusion and Cycle Consistency. IEEE Transactions on Image Processing (TIP), vol. 30, pp. 1771-1783, 2021 [pdf]
Year 2020
[J-7] Jiahua Dong, Yang Cong, Gan Sun, Yunsheng Yang, Xiaowei Xu, Zhengming Ding. Weakly-Supervised Cross-Domain Adaptation for Endoscopic Lesions Segmentation. IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), vol: 31, no: 5, pp: 2020 - 2033, 2020 [pdf].
[J-6] Shuang Li, Chi Harold Liu, Qi Wen, Qiuxia Lin, Limin Su, and Zhengming Ding. Deep Residual Correction Network for Partial Domain Adaptation. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 43, no. 7, pp: 2329 - 2344, 2021
[pdf].
[J-5] Shuang Li, Chi Harold Liu, Limin Su, Binhui Xie, Zhengming Ding, C. L. Philip Chen, Dapeng Wu. Discriminative Transfer Feature and Label Consistency for Cross-Domain Image Classification. IEEE Transactions on Neural Networks and Learning Systems (TNNLS), vol. 31, issue 11, pp. 4842-4856, 2020 [pdf]
[J-4] Zhiqiang Tao, Hongfu Liu, Sheng Li, Zhengming Ding, and Yun Fu. Marginalized Multi-View Ensemble Clustering. IEEE Transactions on Neural Networks and Learning Systems (TNNLS), vol. 31, issue 2, pp. 600-611, 2020.
[J-3] Shuhui Jiang, Zhengming Ding, and Yun Fu. Heterogeneous Recommendation via Deep Low-rank Sparse Collective Factorization. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 42, issue 5, pp. 1097-1111, 2020.[pdf].
[J-2] Shuhui Jiang, Haiyi Mao, Zhengming Ding, and Yun Fu. Deep Deep Decision Tree Transfer Boosting. IEEE Transactions on Neural Networks and Learning Systems (TNNLS), vol. 31, no. 2, pp. 383-395, 2020.
[J-1] Chengcheng Jia, Zhengming Ding, Yu Kong, and Yun Fu. Semi-Supervised Cross-Modality Action Recognition by Latent Tensor Transfer Learning. IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), vol. 30, issue 9, pp. 2801-2814, 2020. [pdf]
Year 2019
[J-10] Zhengming Ding, Ming Shao, and Yun Fu. Generative Zero-Shot Learning via Low-Rank Embedded Semantic Dictionary. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 41, issue. 12, pp. 2861-2874, 2019. [pdf][bib][code]
[J-9] Zhengming Ding, and Yun Fu. Deep Transfer Low-Rank Coding for Cross-Domain Learning. IEEE Transactions on Neural Networks and Learning Systems (TNNLS), vol. 30, no. 6, pp: 1768-1779, 2019. [pdf][bib][code]
[J-8] Zhengming Ding, Ming Shao, Wonjun Hwang, Sungjoo Suh, Jae-Joon Han, Changkyu Choi, and Yun Fu. Robust Discriminative Metric Learning for Image Representation. IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), vol. 29, issue. 11, pp. 3173-3183, 2019. [pdf][bib][code]
[J-7] Weiren Yu, Zhengming Ding, Chunming Hu, and Hongfu Liu. Knowledge Reused Outlier Detection. IEEE Access, vol. 7, pp. 43763-43772, 2019. [pdf]
[J-6] Hongfu Liu, Ming Shao, Zhengming Ding, and Yun Fu. Structure-Preserved Unsupervised Domain Adaptation, IEEE Transactions on Knowledge and Data Engineering (TKDE), vol. 31, no. 4, pp. 799-812, 2019. [pdf]
[J-5] Shuyang Wang, Zhengming Ding, and Yun Fu. Discerning Feature Supported Encoder for Image Representation. IEEE Transactions on Image Processing (TIP), vol. 28, issue 8, pp. 3728-3738, 2019 [pdf]
[J-4] Kai Li, Zhengming Ding, Sheng Li, and Yun Fu. Towards Resolution-Invariant Person Re-identification via Projective Dictionary Learning. IEEE Transactions on Neural Networks and Learning Systems (TNNLS), vol. 30, no. 6, pp. 1896-1907, 2019.
[J-3] Zhengming Ding, and Yun Fu. Dual Low-Rank Decompositions for Robust Cross-View Learning. IEEE Transactions on Image Processing (TIP), vol. 28, no. 1, pp. 194-204, 2019.[pdf]
[J-2] Lichen Wang, Zhengming Ding, and Yun Fu. Low-Rank Transfer Human Motion Segmentation, IEEE Transactions on Image Processing (TIP), vol. 28, no. 2, pp. 1023-1034, 2019. [pdf]
[J-1] Zhiqiang Tao, Hongfu Liu, Sheng Li, Zhengming Ding and Yun Fu. Robust Spectral Ensemble Clustering via Rank Minimization. ACM Transactions on Knowledge Discovery from Data (TKDD), vol. 13, no. 1, article 4, 2019. [pdf]
Year 2018
[J-9] Shuyang Wang, Zhengming Ding, and Yun Fu. Cross-Generation Kinship Verification with Sparse Discriminative Metric. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 41, no. 11, pp: 2783-2790, 2018. [pdf]
[J-8] Zhengming Ding, Nasser Nasrabadi, and Yun Fu. Semi-supervised Deep Domain Adaptation via Coupled Neural Networks, IEEE Transactions on Image Processing (TIP), vol. 27, no. 11, pp. 5214-5224, 2018.
[J-7] Shuang Li, Shiji Song, Gao Huang, Zhengming Ding, and Cheng Wu. Domain Invariant and Class Discriminative Feature Learning for Visual Domain Adaptation, IEEE Transactions on Image Processing (TIP), vol. 27, no. 9, pp. 4260-4273, 2018.
[J-6] Zhengming Ding, and Yun Fu. Robust Multi-view Data Analysis through Collective Low-Rank Subspace.
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), vol. 29, no. 5, pp. 1986-1997, 2018.
[J-5] Zhengming Ding, Ming Shao, and Yun Fu. Incomplete Multisource Transfer Learning. IEEE Transactions on Neural Networks and Learning Systems (TNNLS), vol. 29, no. 2, pp. 310-323, 2018.
[J-4] Zhengming Ding, and Yun Fu. Deep Domain Generalization with Structured Low-Rank Constraint, IEEE Transactions on Image Processing (TIP), vol. 27, no. 1, pp. 304-313, 2018.
[J-3] Shuyang Wang, Zhengming Ding, and Yun Fu. Marginalized Denoising Dictionary Learning with Locality Constraint, IEEE Transactions on Image Processing (TIP), vol. 27, no. 1, pp. 500-510, 2018.
[J-2] Handong Zhao, Hongfu Liu, Zhengming Ding, and Yun Fu. Consensus Regularized Multi-View Outlier Detection. IEEE Transactions on Image Processing (TIP), vol. 27, no. 1, pp. 236-248, 2018.
[J-1] Handong Zhao, Zhengming Ding, and Yun Fu. Ensemble Subspace Segmentation Under Block-wise Constraints. IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), vol. 28, no. 7, 1526-1539, 2018.
Year 2017
[J-2] Zhengming Ding, and Yun Fu. Robust Transfer Metric Learning for Image Classification. IEEE Transactions on Image Processing (TIP), vol. 26, no.2, pp. 660-670, 2017.
[J-1] Yu Kong, Zhengming Ding, Jun Li, and Yun Fu. Deeply Learned View-Invariant Features for Cross-View Action Recognition. IEEE Transactions on Image Processing (TIP), vol. 26, no. 6, pp. 3028-3037, 2017.
Year 2015
[J-1] Zhengming Ding, Ming Shao, and Yun Fu. Missing Modality Transfer Learning via Latent Low-Rank Constraint. IEEE Transactions on Image Processing (TIP), vol. 24, no. 11, pp. 4322-4334, 2015.
Before 2014
[J-3] Ke Lu, Zhengming Ding, and Sam Ge. Sparse Representation Based Graph Embedding for Traffic Sign Recognition. IEEE Transactions on Intelligent Transportation Systems (TITS), vol. 13, no. 4, pp. 1515-1524, 2012.
[J-2] Ke Lu, Zhengming Ding, and Sam Ge. Locally Connected Graph for Visual Tracking. Neurocomputing, vol. 120, no. 23, pp. 45-53, 2012.
[J-1] Ke Lu, Zhengming Ding, and Jidong Zhao. Locally connected graph embedding for semisupervised image classification. Journal of Electronic Imaging, vol. 21, no. 4, 2012.
