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Zhengming Ding
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CLCLSA: Cross-omics Linked embedding with Contrastive Learning and Self Attention for multi-omics integration with incomplete multi-omics data


Apr 12, 2023
Chen Zhao, Anqi Liu, Xiao Zhang, Xuewei Cao, Zhengming Ding, Qiuying Sha, Hui Shen, Hong-Wen Deng, Weihua Zhou

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* 21 pages; 5 figures 
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IDA: Informed Domain Adaptive Semantic Segmentation


Mar 05, 2023
Zheng Chen, Zhengming Ding, Jason M. Gregory, Lantao Liu

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Visualizing Transferred Knowledge: An Interpretive Model of Unsupervised Domain Adaptation


Mar 04, 2023
Wenxiao Xiao, Zhengming Ding, Hongfu Liu

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Adversarial Bi-Regressor Network for Domain Adaptive Regression


Sep 20, 2022
Haifeng Xia, Pu, Wang, Toshiaki Koike-Akino, Ye Wang, Philip Orlik, Zhengming Ding

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* 7 pages, 5 figures; IJCAI 2022; tested in the SPAWC2021 dataset for indoor localization 
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Toward Better Target Representation for Source-Free and Black-Box Domain Adaptation


Aug 22, 2022
Qucheng Peng, Zhengming Ding, Lingjuan Lyu, Lichao Sun, Chen Chen

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Learnable Visual Words for Interpretable Image Recognition


May 26, 2022
Wenxiao Xiao, Zhengming Ding, Hongfu Liu

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On the Equity of Nuclear Norm Maximization in Unsupervised Domain Adaptation


Apr 12, 2022
Wenju Zhang, Xiang Zhang, Qing Liao, Long Lan, Mengzhu Wang, Wei Wang, Baoyun Peng, Zhengming Ding

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PSI: A Pedestrian Behavior Dataset for Socially Intelligent Autonomous Car


Dec 05, 2021
Tina Chen, Renran Tian, Yaobin Chen, Joshua Domeyer, Heishiro Toyoda, Rini Sherony, Taotao Jing, Zhengming Ding

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Local Learning Matters: Rethinking Data Heterogeneity in Federated Learning


Nov 28, 2021
Matias Mendieta, Taojiannan Yang, Pu Wang, Minwoo Lee, Zhengming Ding, Chen Chen

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