羅勇
437bwin必贏國際官網 人工智能系 國家多媒體軟件工程技術研究中心 教授 (博導)
研究方向
437bwin必贏國際官網教授，博士生導師，國家特聘青年專家，多媒體匯刊IEEE TMM AE（Associate Editor），人工智能領域CCF A類頂會AAAI和IJCAI的Senior PC Member。主要從事機器學習和數據挖掘及其在視覺信息理解和分析方面的應用研究工作。共發表論文40余篇高水平論文（包括IEEE TPAMI等），是2016年中國計算機學會（CCF）優秀博士論文獲得者。曾獲得IJCAI最佳論文提名（2540選3）和IEEE Globecom最佳論文獎，并與他的合作者獲得IEEE ICME和IEEE VCIP最佳論文獎。
研究領域：人工智能，機器學習，數據挖掘，多媒體信息處理與分析
獎項：
2019 最佳論文，IEEE多媒體博覽會議（ICME）
2019 最佳論文，IEEE視覺通信和圖像處理會議（VCIP）
2017 最佳論文入圍（3/2540），國際人工智能聯合會議（IJCAI）
2016 最佳論文，IEEE全球通信會議（GLOBECOM）
2016 優秀博士論文，中國計算機學會
2014 優秀畢業生，北京大學
2013 國家獎學金，北京大學
教育背景
2009/9 - 2014/7，北京大學，理學博士
2005/9 - 2009/7，西北工業大學，工學學士
工作經驗
2020/9 - 至今，437bwin必贏國際官網，437bwin必贏國際官網，教授
2014/9 - 2020/9，南洋理工大學，計算機科學與工程學院，博士后
教授課程
《機器學習與模式識別》
發表論文
書籍或章節：
[1] Yong Luo, Dacheng Tao, Chao Xu, "Patch Alignment for Graph Embedding," Graph Embedding for Pattern Analysis, Springer, pp. 73-118, 2013.
主要期刊論文：
[1] Yong Luo, Han Hu, Yonggang Wen, Dacheng Tao, "Transforming Device Fingerprinting for Wireless Security via Online Multi-Task Metric Learning," IEEE Internet of Things Journal (IoTJ), Vol. 7, No. 1, pp. 208-219, 2020.
[2] Yong Luo, Yonggang Wen, Tongliang Liu, Dacheng Tao, "Transferring Knowledge Fragments for Learning Distance Metric from A Heterogeneous Domain," IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Vol. 41, No. 4, pp. 1013-1026, 2019.
[3] Yong Luo, Yonggang Wen, Dacheng Tao, "Heterogeneous Multi-task Metric Learning across Multiple Domains," IEEE Transactions on Neural Networks and Learning Systems (TNNLS), Vol. 29, No. 9, pp. 4051-4064, 2018.
[4] Yong Luo, Yonggang Wen, Dacheng Tao, Jie Gui, Chao Xu, "Large Margin Multi-modal Multitask Feature Extraction for Image Classification," IEEE Transactions on Image Processing (TIP), Vol. 25, No. 1, pp. 414-427, 2016.
[5] Yong Luo, Dacheng Tao, Kotagiri Ramamohanarao, Chao Xu, Yonggang Wen, "Tensor Canonical Correlation Analysis for Multi-view Dimension Reduction," IEEE Transactions on Knowledge and Data Engineering (TKDE), Vol. 27, No. 11, pp. 3111-3124, 2015.
[6] Yong Luo, Tongliang Liu, Dacheng Tao, Chao Xu, "Multi-view Matrix Completion for Multilabel Image Classification," IEEE Transactions on Image Processing (TIP), Vol. 24, No. 8, pp. 2355-2368, 2015.
[7] Yong Luo, Tongliang Liu, Dacheng Tao, Chao Xu, "Decomposition based Transfer Distance Metric Learning for Image Classification," IEEE Transactions on Image Processing (TIP), Vol. 23, No. 9, pp. 3789-3801, 2014.
[8] Yong Luo, Dacheng Tao, Chang Xu, Chao Xu, Hong Liu, Yonggang Wen, "Multi-view Vectorvalued Manifold Regularization for Multi-label Image Classification," IEEE Transactions on Neural Networks and Learning Systems (TNNLS), Vol. 24, No. 5, pp. 709-722, 2013.
[9] Yong Luo, Dacheng Tao, Bo Geng, Chao Xu, Stephen J. Maybank, "Manifold Regularized
Multi-task Learning for Semi-supervised Multi-label Image Classification," IEEE Transactions on Image Processing (TIP), Vol. 22, No. 2, pp. 523-536, 2013.
[10] Qiang Fu, Yong Luo, Yonggang Wen, Dacheng Tao, Ying Li, Ling-Yu Duan, "Towards Intelligent Product Retrieval for TV-to-Online (T2O) Application: A Transfer Metric Learning
Approach," IEEE Transactions on Multimedia (TMM), Vol. 20, No. 8, pp. 2114-2125, 2018.
[11] Meng Liu, Chang Xu, Yong Luo, Chao Xu, Yonggang Wen, Dacheng Tao, "Cost-Sensitive Feature Selection by Optimizing F-Measures," IEEE Transactions on Image Processing (TIP), Vol. 27, No. 3, pp. 1323-1335, 2018.
[12] Jie Gui, Dacheng Tao, Zhenan Sun, Yong Luo, Xinge You, Yuanyan Tang, "Group Sparse
Multi-view Patch Alignment Framework with View Consistency for Image Classification," IEEE Transactions on Image Processing (TIP), Vol. 23, No. 7, pp. 3126-3137, 2014.
主要會議論文：
[1] Yong Luo#, Huaizheng Zhang#, Yonggang Wen, Xinwen Zhang, "ResumeGAN: An Optimized Deep Representation Learning Framework for Talent-Job Fit via Adversarial Learning," ACM International Conference on Information and Knowledge Management (CIKM), pp. 1101-1110, 2019.
[2] Yong Luo, Tongliang Liu, Yonggang Wen, Dacheng Tao, "Online Heterogeneous Transfer Metric Learning," International Joint Conference on Artificial Intelligence (IJCAI), pp. 2525-2531, 2018.
[3] Yong Luo#, Huaizheng Zhang#, Yongjie Wang, Yonggang Wen, Xinwen Zhang, "ResumeNet: A Learning-based Framework for Automatic Resume Quality Assessment," International Conference on Data Mining (ICDM), pp. 307-316, 2018.
[4] Yong Luo, Yonggang Wen, Tongliang, Dacheng Tao, "General Heterogeneous Transfer Distance Metric Learning via Knowledge Fragments Transfer," International Joint Conference on Artificial Intelligence (IJCAI), pp. 2450-2456, 2017. [Distinguished Paper Award Finalist, 3 out of 2540 submissions]
[5] Yong Luo, Dacheng Tao, Yonggang Wen, "Exploiting High-Order Information in Heterogeneous Multi-Task Feature Learning," International Joint Conference on Artificial Intelligence (IJCAI), pp. 2443-2449, 2017.
[6] Yong Luo, Yonggang Wen, Dacheng Tao, "On Combining Side Information and Unlabeled Data for Heterogeneous Multi-task Metric Learning," International Joint Conference on Artificial Intelligence (IJCAI), pp. 1809-1815, 2016.
[7] Yong Luo, Yonggang Wen, Dacheng Tao, Qiang Fu, "Toward Effortless TV-to-Online (T2O) Experience: A Novel Metric Learning Approach," IEEE Global Communications Conference (GLOBECOM), December 4-8, 2016. [Best Paper Award]
[8] Yong Luo, Jian Tang, Jun Yan, Chao Xu, Zheng Chen, "Pre-trained Multi-view Word Embedding using Two-side Neural Network," AAAI Conference on Artificial Intelligence (AAAI), pp. 1982-1988, 2014.
[9] Yong Luo, Dacheng Tao, Chang Xu, Dongchen Li, Chao Xu, "Vector-valued Multi-view Semisupervised Learning for Multi-label Image Classification," AAAI Conference on Artificial Intelligence (AAAI), pp. 647-653, 2013.
[10] Yong Luo, Dacheng Tao, Bo Geng, Chao Xu, Stephen J. Maybank, "Shared Feature Extraction for Semi-supervised Image Classification," ACM Multimedia (MM), pp. 1165-1168, 2011.
[11] Shikang Gan#, Yong Luo#, Yonggang Wen, Tongliang Liu, Han Hu*, "Deep heterogeneous multi-task metric learning for visual recognition and retrieval," ACM Multimedia Conference, pp. 1837-1845, 2020.
[12] Huaizheng Zhang, Yong Luo, Qiming Ai, Yonggang Wen, Han Hu*, "Look, read and feel: Benchmarking Ads understanding with multimodal multitask learning," ACM Multimedia Conference, pp. 430-438, 2020.
[13] Yangxi Li, Han Hu, Jin Li, Yong Luo*, Yonggang Wen, "Semi-supervised online multi-task metric learning for visual recognition and retrieval," ACM Multimedia Conference, pp. 3377-3385, 2020.
[14] Huaizheng Zhang, Yuanming Li, Qiming Ai, Yong Luo, Yonggang Wen, Yichao Jin, Nguyen Binh Duong Ta, "Hysia: Serving DNN-based video-to-retail applications in cloud," ACM Multimedia Conference, pp. 4457-4460, 2020.
[15] Yihang Lou, Ling-Yu Duan, Yong Luo, Ziqian Chen, Tongliang Liu, Shiqi Wang, Wen Gao, "Towards Digital Retina in Smart Cities: A Model Generation, Utilization and Communication Paradigm," IEEE International Conference on Multimedia and Expo (ICME), 2019. [Best Paper Award]
[16] Yan Bai, Ling-Yu Duan, Yong Luo, Shiqi Wang, Yonggang Wen, Wen Gao, "Toward Intelligent Visual Sensing and Low-cost Analysis: A Collaborative Computing Approach," IEEE International Conference on Visual Communications and Image Processing (VCIP), 2019. [Best Paper Award]
科研課題
[1] 國家自然科學基金面上項目，“利用多模態特征的圖像搜索關鍵技術研究”，2014-2017，79萬，參與。
[2] 國家自然科學基金面上項目，“基于遷移學習的圖像搜索理論與方法研究”，2010-2012，32萬，參與。
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