唐厂 - 中国地质大学(武汉)

个人简介

2016年博士毕业于天津大学电子信息工程学院信息与通信工程专业。曾于2014年9月至2015年9月在澳大利亚University of Wollongong计算机科学与技术学院交流学习一年。IEEE, CCF会员，CCF理论计算机科学专委委员和全国高校大数据教育联盟专委委员, SCI期刊BioMed Research International和BMC Bioinformatics的Associate Editor。中国人工智能学会会刊《CAAI Transactions on Intelligence Technology》及《计算机工程》青年编委。主要研究方向包括：机器学习和计算机视觉。近5年以来主持国家自然科学基金青年基金项目一项，“地大学者”青年优秀人才项目一项，湖北省智能地学信息处理重点实验室开放基金一项，入选2019年武汉市青年科技朝阳计划。以第一作者身份发表SCI检索期刊学术论文和CCF A类会议论文总计30余篇，与他人合作发表论文多篇, ESI高被引论文一篇。此外，还担任IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI)，IEEE Transactions on Image Processing (IEEE TIP), IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS)，IEEE Transactions on Multimedia（IEEE TMM），IEEE Transactions on Circuits and Systems for Video Technology (IEEE TCSVT)，IEEE Transactions on Cybernetics(IEEE TCyB), IEEE Signal Processing Letters(SPL)，Pattern Recognition(PR), Multimedia Tools and Applications(MTAP)，Optics Express(OE)，Biomedical Optics Express(BOE)等SCI期刊的审稿人。长期担任CCF A/B类顶级会议CVPR、ICCV、NIPS、IJCAI、AAAI、ECCV、ICME等的程序委员会委员或领域主席。招生方向（来信前必读）：机器学习、深度学习、计算机视觉、遥感影像解译、医学影像分析、生物医学数据处理、计算生物学联系方式：tangchang##cug.edu.cn（将##替换成@）详细信息请见：http://tangchang.net 毕业生去向：研究生：万诚（2020年6月毕业）：招商银行（深圳）李正来（2021年6月毕业）: 继续攻读博士学位（中国地质大学（武汉））本科生：李帆（2020年6月毕业）：考研升学（西北工业大学）薛锋靖阳（2021年6月毕业）: 就读国外硕士，加拿大（McMaster University，麦克马斯特大学）黄晓琳（2021年6月毕业）：保研升学（厦门大学）审稿期刊和目录：期刊： IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI) IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS) IEEE Transactions on Image Processing (IEEE TIP) IEEE Transactions on Multimedia (IEEE TMM) IEEE Transactions on Cybernetics (IEEE TCyB) IEEE Transactions on Circuits and Systems for Video Technology (IEEE TCSVT) IEEE Transactions on Cognitive and Developmental Systems (IEEE TCDS) IEEE Signal Processing Letters(SPL) Pattern Recognition (PR) Knowledge-based System (KBS) Multimedia Tools and Applications(MTAP) Optics Letters (OL) Biomedical Optics Express(BOE) 会议： CVPR 2019/2020 ICCV 2019 AAAI 2019/2020 ICME 2018/2019/2020 IJCAI 2018/2019/2020 ICME 2018/2019/2020

近期论文

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唐厂，王俊，“基于近邻子空间划分的高光谱影像波段选择方法”，天津大学学报：自然科学版，2021. Zhenglai Li, Chang Tang*, Xinwang Liu, Xiao Zheng, Wei Zhang, En Zhu,"Consensus Graph Learning for Multi-view Clustering", IEEE Transactions on Multimedia (Accepted), 2021. Zhenglai Li, Chang Tang*, Xinwang Liu, Xiao Zheng, Wei Zhang, En Zhu, "Cross-view Locality Preserved Diversity and Consensus Learning for Multi-view Unsupervised Feature Selection", IEEE ICME (Accepted), 2021. Tang Chang, Xiao Zheng, Xinwang Liu, Wei Zhang, Jing Zhang, Jian Xiong, and Lizhe Wang. "Cross-view Locality Preserved Diversity and Consensus Learning for Multi-view Unsupervised Feature Selection." IEEE Transactions on Knowledge and Data Engineering (Accepted), 2021. (CCF A) Chang Tang, Xinwang Liu, Xiao Zheng, Wanqing Li, Jian Xiong, Lizhe Wang, Albert Zomaya, Antonella Longo, "DeFusionNET: Defocus Blur Detection via Recurrently Fusing and Refining Discriminative Multi-scale Deep Features", IEEE Transactions on Pattern Analysis and Machine Intelligence (Accepted), 2020. (CCF A) Chang Tang, Xinwang Liu, Shan An, Pichao Wang, "BR2Net: Defocus Blur Detection via a Bi-directional Channel Attention Residual Refining Network", IEEE Transactions on Multimedia (IEEE T-MM), Accepted, DOI: https://doi.org/10.1109/TMM.2020.2985541, 2020. (CCF B) Chang Tang, Xinwang Liu, Xinzhong Zhu, En Zhu, Kun Sun, Pichao Wang, Lizhe Wang, Albert Zomaya, "R2MRF: Defocus Blur Detection via Recurrently Refining Multi-scale Residual Features", AAAI Conference on Artificial Intelligence (AAAI), 2020. (CCF A) Chang Tang, Xinwang Liu, Xinzhong Zhu, En Zhu, Zhigang Luo, Lizhe Wang, Wen Gao, "CGD: Multi-view Clustering via Cross-view Graph Diffusion", AAAI Conference on Artificial Intelligence (AAAI), 2020. (CCF A) Chang Tang, Xinwang Liu, Xinzhong Zhu, Lizhe Wang, Albert Zomaya, "DeFusionNET: Defocus Blur Detection via Recurrently Fusing and Refining Multi-scale Deep Features", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2700-2709, 2019. (CCF A) Chang Tang, Xinwang Liu, Xinzhong Zhu, Pichao Wang, "Salient Object Detection via Recurrently Aggregating Spatial Attention Weighted Cross-level Deep Features", IEEE International Conference on Multimedia and Expo (ICME), 1546-1551, 2019. (CCF B) Chang Tang, Xinzhong Zhu, Xinwang Liu, Miaomiao Li, Pichao Wang, Changqing Zhang and Lizhe Wang, "Learning a Joint Affinity Graph for Multiview Subspace Clustering", IEEE Transactions on Multimedia (IEEE T-MM), 21(7), 1724-1736, 2019. (CCF B) Chang Tang, Xinzhong Zhu, Xinwang Liu, Lizhe Wang, "Cross-view Local Structure Preserved Diversity and Consensus Learning for Multi-view Unsupervised Feature Selection", AAAI Conference on Artificial Intelligence (AAAI), 5101-5108, 2019. (CCF A) Chang Tang, Xinwang Liu, Pichao Wang, Changqing Zhang, Miaomiao Li, Lizhe Wang, "Adaptive Hypergraph Learning for Multi-label Image Annotation", IEEE Transactions on Multimedia (IEEE T-MM), 21(11), 2837-2849, 2019. (CCF B) Chang Tang, Xinwang Liu, Xinzhong Zhu, Jian Xiong, Miaomiao Li, Jingyuan Xia, Xiangke Wang, Lizhe Wang, "Feature Selective Projection with Low-Rank Embedding and Dual Laplacian Regularization", IEEE Transactions on Knowledge and Data Engineering (IEEE T-KDE), 2019. (CCF A) Chang Tang, Meiru Bian, Xinwang Liu, Miaomiao Li, Hua Zhou, Pichao Wang, Hailin Yin, "Unsupervised Feature Selection via Latent Representation Learning and Manifold Regularization", Neural Networks, 117, 163-178, 2019. (CCF B) Chang Tang, Wanqing Li, Pichao Wang, Lizhe Wang "Online Action Recognition Based on Incremental Learning of Weighted Covariance Descriptors", Information Sciences, 467, 219-237 , 2018. (CCF B) Xinwang Liu, Xinzhong Zhu, Miaomiao Li, Lei Wang, Chang Tang, Jianping Yin, Dinggang Shen, Huaimin Wang, Wen Gao, "Late Fusion Incomplete Multi-view Clustering", IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE T-PAMI), 41(10), 2410 - 2423, 2019. (CCF A) Xinwang Liu, Miaomiao Li, Chang Tang, Jingyuan Xia, Jian Xiong, Li Liu, Marius Kloft, En Zhu, "Efficient and Effective Regularized Incomplete Multi-view Clustering", IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE T-PAMI), 2020.