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<!DOCTYPE html>
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<title>IIP · De Cheng</title>
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<h5 class="mb-0">De Cheng</h5>
<small>Associate Professor</small>
<p class="mb-2"><small> dcheng <i class="fa fa-at"></i> xidian.edu.cn </small> </p>
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<h5 class="section-title ff-secondary text-start text-primary fw-normal">About Me</h5>
<h1 class="mb-4">De Cheng</h1>
<p class="mb-4">De Cheng received the B.S. and Ph.D. degrees from Xi’an Jiaotong University, Xi’an, China, in 2011 and 2017, respectively.
From 2015 to 2017, he was a Visiting Scholar with Carnegie Mellon University, Pittsburgh, PA, USA.
He is currently an Associate Professor with the School of Telecommunications Engineering, Xidian University, Xi’an.
His research interests include pattern recognition, machine learning, and multimedia analysis.</p>
<p class="mb-4"> He is currently presiding over a project of the National Natural Science Foundation of China, a key project of
the Regional Joint Fund of the National Natural Science Foundation of China, and the basic scientific research operating fund
of the central universities, etc. He is also involved in many national and provincial projects.
His research interests include computer vision, machine learning, artificial intelligence, image video coding and decoding, etc.
In recent years, he has published more than 40 papers in top journals and conferences such as CVPR, ICCV, NeurIPS, IJCAI, TIP, T-NNLS,
T-Cybernetics, T-CSVT, Pattern Recognition, etc., and his personal He has published more than 40 papers in top journals and conferences
in the field, including IJCAI, TNNLS, Cybernetics, T-CSVT, Pattern Recognition, etc. The highest citation of a single paper is more than 1400.</p>
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<h6 class="text-uppercase mb-0">Publications</h6>
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<h5 class="mb-0">Wenwang Han </h5>
<small>2023-</small>
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<h5 class="mb-0">Yifan Jiang</h5>
<small>2022-</small>
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<h5 class="mb-0">Si Shi</h5>
<small>2022-</small>
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<span>Credible Artificial Intelligence</span>
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<li>Explainable Artificial Intelligence (XAI)</li>
<li>Learning from noisy lables</li>
<li>Learning from noisy lables</li>
<li>Cross-modal Learning</li>
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<ul>
<li>Multi-modal driven video generation</li>
<li>Generated Visual Quality Assessment (GIQA)</li>
<li>Neural Style Transfer (NST)</li>
<li>Generative Adversarial Networks (GAN), Diffusion Model, Cross-modal Learning</li>
</ul>
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<p>
<a href="https://dblp.org/pid/154/1991.html" target="_blank"> [DBLP] </a>
<a href="https://scholar.google.com/citations?user=180lASkAAAAJ" target="_blank"> [Google Scholar] </a>
</p>
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<ul>
<li>[1] De Cheng, Yihong Gong, Sanping Zhou, Jinjun Wang, Nanning Zheng, Person Re-identification by Multi-Channel Parts-Based CNN with Improved Triplet Loss Function, CVPR 2016, (Google Scholar Citation: 1400次), CCF A类 顶级国际会议</li>
<li>[2] De Cheng, Xiaolong Wang, Nannan Wang, Zhen Wang, Xiaoyu Wang, Xinbo Gao, Cross-Modality Person Re-Identification with Memory-based Contrastive Embedding, AAAI, 2023，CCF A类 顶级国际会议</li>
<li>[3] Guozhang Li, De Cheng, Xinpeng Ding, Nannan Wang, Xiaoyu Wang, Xinbo Gao, Boosting Weakly-Supervised Temporal Action Localization with Text Information, CVPR 2023, CCF A类 顶级国际会议</li>
<li>[4] Guozhang Li, De Cheng, Xinpeng Ding, Nannan Wang, Xiaoyu Wang, Xinbo Gao, Weakly-Supervised Temporal Action Localization with Bidirectional Semantic Consistency Constraint, IEEE Transactions on Neural Network and Learning System (T-NNLS), 2023, CCF B类期刊，IF: 10.451, JCR一区Top期刊</li>
<li>[5] De Cheng, Gerong Wang, Nannan Wang, Dingwen Zhang, Qiang Zhang, Xinbo Gao, Discriminative and Robust Attribute Alignment for Zero-shot Learning, IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT), 2023，CCF B类Top期刊，IF: 5.859, 中科院一区</li>
<li>[6] De Cheng, Jingyu Zhou, Nannan Wang, Xinbo Gao, Hybrid Dynamic Contrast and Probability Distillation for Unsupervised Person Re-Id, IEEE Transactions on Image Processing, 2022，CCF A类Top期刊，IF: 10.86, 中科院一区</li>
<li>[7] De Cheng, Yixiong Ning, Nannan Wang, Xinbo Gao, Heng Yang, Yuxuan Du, Bo Han, Tongliang Liu, Class-Dependent Label-Noise Learning with Cycle-Consistency Regularization, NeurIPS 2022，CCF A类 顶级国际会议</li>
<li>[8] De Cheng, Tongliang Liu, Yixiong Ning, Nannan Wang, Bo Han, Gang Niu, Xinbo Gao, Massshi Sugiyama, Instance-Dependent Label-Noise Learning With Manifold-Regularized Transition Matrix Estimation, CVPR 2022，CCF A类 顶级国际会议</li>
<li>[9] De Cheng, Yan Li, Dingwen Zhang, Nannan Wang, Xinbo Gao, Jiande Sun, Robust Single Image Dehazing Based on Consistent and Contrast-Assisted Reconstruction, IJCAI 2022, CCF A类 顶级国际会议</li>
<li>[10] De Cheng, Gerong Wang, Bo Wang, Qiang Zhang, Jungong Han, Dingwen Zhang, Hybrid Routing Transformer for Zero-Shot Learning, Pattern Recognition, 2022, CCF B类, IF: 8.518, 中科院一区Top期刊</li>
<li>[11] Yan Li, De Cheng (通讯作者), Dingwen Zhang, Nannan Wang, Xinbo Gao, Jiande Sun, Single Image Dehazing with an Independent Detail-Recovery Network, Knowledge-Based Systems, 2022，IF: 8.139, 中科院一区</li>
<li>[12] Peiliang Huang, Junwei Han, De Cheng, Dingwen Zhang, Robust Region Feature Synthesizer for Zero-Shot Detection, CVPR 2022，CCF A类 顶级国际会议</li>
<li>[13] Zhaori Gong, Nannan Wang, De Cheng, Xinrui Jiang, Jingwei Xin, Xi Yang, Xinbo Gao, Learning Deep Resonant Prior for Hyperspectral Image Super-Resolution, IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2022，CCF B类Top期刊， IF: 8.125, 中科院二区</li>
<li>[14] Xinpeng Ding, Nannan Wang, Shiwei Zhang, De Cheng, Xiaomeng Li, Ziyuan Huang, Mingqian Tang Xinbo Gao, Support-Set Based Cross-Supervision for Video Grounding，ICCV 2021，CCF A类 顶级国际会议</li>
<li>[15] De Cheng, Zhihui Li, Yihong Gong, Dingwen Zhang, Fusion of Multiple Person Re-id Methods With Model and Data-Aware Abilities, IEEE Transactions on Cybernetics, 2020, CCF B类期刊，IF: 11.448, 中科院一区Top期刊</li>
<li>[16] Diangang Li, Yihong Gong, De Cheng (通讯作者)，Weiwei Shi, Xiaoyu Tao, Xinyuan Chang, Consistency-Preserving deep hashing for fast person re-identification, Pattern Recognition, 2019, CCF B类期刊，IF: 8.518, 中科院一区Top期刊</li>
<li>[17] De Cheng, Yihong Gong, Xiaojun Chang, Weiwei Shi, Alexander G. Hauptmann, Nanning Zheng, Deep feature learning via structured graph Laplacian embedding for person re-identification, Pattern Recognition, 2018, CCF B类期刊，IF: 8.518, 中科院一区Top期刊</li>
<li>[18] Weiwei Shi, Yihong Gong, De Cheng (通讯作者)，Xiaoyu Tao, Nanning Zheng, Entropy and orthogonality based deep discriminative feature learning for object recognition, Pattern Recognition, 2018, CCF B类期刊，IF: 8.518, 中科院一区Top期刊</li>
<li>[19] De Cheng, Xiaojun Chang, Li Liu, Alelxander G. Hauptmenn, Yihong Gong, Nanning Zheng, Discriminative Dictionary Learning With Ranking Metric Embedded for Person Re-Identification, IJCAI 2017, CCF A类 顶级国际会议</li>
<li>[20] Hehe Fan, Xiaojun Chang, De Cheng, Yi Yang, Dong Xu, Alexander G. Hauptmann, Complex Event Detection by Identifying Reliable Shots from Untrimmed Videos, ICCV 2017, CCF A类 顶级国际会议</li>
<li>[21] De Cheng, Yihong Gong, Jinjun Wang, Nanning Zheng, Balanced Mixture of Deformable Part Models With Automatic Part Configurations, IEEE Transactions on Circuits and Systerms for Video Technology (T-CSVT), 2017, CCF B类期刊，IF: 5.859, 中科院一区Top期刊</li>
<li>[22] Weiwei Shi, Yihong Gong, Xiaoyu Tao, De Cheng, Nanning Zheng, Fine-Grained Image Classification Using Modified DCNNs Trained by Cascaded Softmax and Generalized Large-Margin Losses, IEEE Transactions on Neural Network and Learning System (T-NNLS), 2019, CCF B类期刊，IF: 10.451, JCR一区Top期刊</li>
<li>[23] Zhiqiang Zeng, Zhihui Li, De Cheng, Huaxiang Zhang, Kun Zhan, Yi Yang, Two-Stream Multirate Recurrent Neural Network for Video-Based Pedestrian Reidentification, IEEE Transactions on Industrial Informatics, 2018, IF: 10.215, 中科院一区Top期刊</li>
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