Ph.D., Associate Professor School of Computer Science and Engineering University of Electronic Science and Technology of China

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1 F U M I N S H E N Ph.D., Associate Professor School of Computer Science and Engineering University of Electronic Science and Technology of China personal information Birthday Apr fumin.shen@gmail.com Website fshen/ Phone (T) +86 (28) (M) work experience Aug Present Associate Professor University of Electronic Science & Technology of China Big Media Computing Center, School of Computer Science and Engineering Lecturer University of Electronic Science & Technology of China May 2014 Jul. Big Media Computing Center, 2016 School of Computer Science and Engineering education Visiting Ph.D. The University of Adelaide, Australia May 2011 Nov. Computer Vision, Machine Learning 2012 Supervisor: Prof. Chunhua Shen chunhua.shen@adelaide.edu.au Visiting Ph.D. NICTA and Australian National University, Australia Nov Apr. Computer Vision, Machine Learning 2011 Supervisor: Prof. Chunhua Shen chunhua.shen@adelaide.edu.au Ph.D. Nanjing University of Science & Technology, China Sep Apr. Pattern Recognition and Intelligence System 2014 Thesis: Linear representation based robust face recognition Supervisor: Prof. Zhenmin Tang tzm.cs@mail.njust.edu.cn Bachelor Shandong University, China Sep Jul. Applied Mathematics 2007 Thesis: Artificial Neural Networks based Fingerprint Recognition Supervisor: Prof. Zhulou Cao publications ( indicates corresponding author and my (co-)supervised student.) Conference 1. Xing Xu, Fumin Shen, Yang Yang, Dongxiang Zhang, Jingkuan Song, Heng Tao Shen. Matrix Tri-Factorization with Manifold Regularizations for Zero-shot Learning, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), (CCF A) 2. Li Liu, Fumin Shen, Yuming Shen, Xianglong Liu, Ling Shao. Deep Sketch Hashing: Fast Free-hand Sketch-Based Image Retrieval, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), (CCF A) 3. Li Liu, Mengyang Yu, Fumin Shen, Ling Shao. Discretely Coding Semantic Rank Orders for Image Hashing, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), (CCF A) 4. Yang Long, Li Liu, Fumin Shen, Ling Shao. From Zero-shot Learning to Conventional Supervised Classification: Unseen Visual Data Synthesis, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), (CCF A)

2 5. Jie Qin, Li Liu, Ling Shao, Fumin Shen, Bingbing Ni, Jiaxin Chen, Yunhong Wang. Zero-Shot Action Recognition with Error-Correcting Output Codes, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), (CCF A) 6. Jie Qin, Li Liu, Ling Shao, Bingbing Ni, Chen Chen, Fumin Shen, Yunhong Wang. Binary Coding for Partial Action Analysis with Limited Observation Ratios, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), (CCF A) 7. Xin Gao, Fumin Shen, Yang Yang, Xing Xu, Hanxi Li and Heng Tao Shen, Asymmetric Sparse Hashing, IEEE International Conference on Multimedia and Expo (ICME), [Finalist of the World s FIRST 10K Best Paper Award] 8. Yahui Xu, Yang Yang, Fumin Shen, Yuxuan Zhou, Xing Xu and Heng Tao Shen, Attribute Hashing for Zero-Shot Image Retrieval, IEEE International Conference on Multimedia and Expo (ICME), [World s FIRST 10K Best Paper Award - Platinum Award] 9. Li He, Xing Xu, Huimin Lu, Yang Yang, Fumin Shen and Heng Tao Shen, Unsupervised Cross-modal Retrieval through Adversarial Learning, IEEE International Conference on Multimedia and Expo (ICME), Xinyu Wang, Hanxi Li, Yi Li, Fumin Shen and Fatih Porikli, Robust and Real-time Deep Tracking Via Multi-Scale Domain Adaptation, IEEE International Conference on Multimedia and Expo (ICME), Xiaobo Shen, Weiwei Liu, Ivor Tsang, Fumin Shen and Quan-Sen Sun, Compressed K-means for Large-scale Clustering, AAAI Conference on Artificial Intelligence (AAAI), (CCF A) 12. Xiaoyu Du, Yang Yang, Liu Yang, Fumin Shen, Zhiguang Qin, Jinhui Tang, Captioning Videos using Large-scale Image Corpus, Computational Visual Media Conference (CVM), Yang Yang, Fumin Shen, Zi Huang, Heng Tao Shen, A Unified Framework for Discrete Spectral Clustering, International Joint Conference on Artificial Intelligence (IJCAI), pp , July (CCF A) 14. Hanwang Zhang, Fumin Shen, Wei Liu, Xiangnan He, Huanbo Luan, Chua Tat-Seng, Discrete Collaborative Filtering, ACM SIGIR conference on Research and Development in Information Retrieval (SIGIR), pp , July (CCF A) [Best Paper Award Honorable Mention] 15. Yang Yang, Yadan Luo, Weilun Chen, Fumin Shen, Jie Shao, Heng Tao Shen, Zero-Shot Hashing Via Transferring Supervised Knowledge, ACM Multimedia (MM), October (full paper) (CCF A) 16. Jingkuan Song, Lianli Gao, Mihai Marian Puscas, Feiping Nie, Fumin Shen, Nicu Sebe, Joint Graph Learning and Video Segmentation Via Multiple Cues and Topology Calibration, ACM Multimedia (MM), October (full paper) (CCF A) 17. Xing Xu, Fumin Shen, Zi Huang, Yang Yang, Li He, Jingkuan Song, Cross-modal Retrieval with Label Completion, ACM Multimedia (MM), October (short paper) 18. Yazhou Yao, Xian-Sheng Hua, Fumin Shen, Jian Zhang, Zhenmin Tang, A Domain Robust Approach for Image Dataset Construction, ACM Multimedia (MM), October (short paper) 19. Yi Bin, Yang Yang, Zi Huang, Fumin Shen, Xing Xu, Heng Tao Shen, Bidirectional Long-Short Term Memory for Video Description, ACM Multimedia (MM), October (short paper) 20. Xiu Huang, Yang Yang, Yue Hu, Fumin Shen and Jie Shao. Dynamic User Attribute Discovery on Social Media. Asia Pacific Web Conference (APWeb), pp , September, Xing Xu, Fumin Shen, Yang Yang, Heng Tao Shen, Discriminant Cross-modal Hashing, ACM International Conference on Multimedia Retrieval (ICMR), pp , June Yazhou Yao, Jian Zhang, Fumin Shen, Xiansheng Hua, Jingsong Xu, Zhenmin Tang, Automatic Image Dataset Construction with Multiple Textual Metadata, International Conference on Multimedia and Expo (ICME), July

3 23. Zhongyu Li, Fumin Shen, Ruogu Fang, Sailesh Conjeti, Amin Katouzian, Shaoting Zhang, Maximum Inner Product Search for Morphological Retrieval of Large-scale Neuron Data, International Symposium on Biomedical Imaging (ISBI), April, Yazhou Yao, Jian Zhang, Xiansheng Hua, Fumin Shen, Zhenmin Tang, Extracting Visual Knowledge from the Internet: Making Sense of Image Data, International Conference on Multimedia Modelling (MMM), , January Fumin Shen, Wei Liu, Shaoting Zhang, Yang Yang, and Heng Tao Shen, Learning Binary Codes for Maximum Inner Product Search, IEEE International Conference on Computer Vision (ICCV), , December (CCF A) 26. Fumin Shen, Chunhua Shen, Wei Liu, Heng Tao Shen, Supervised Discrete Hashing, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp , June (CCF A) 27. Yang Yang, Hanwang Zhang, Mingxing Zhang, Fumin Shen and Xuelong Li, Visual Coding in a Semantic Hierarchy, ACM Multimedia (MM), 59 68, October (full paper) (CCF A) 28. Xiaobo Shen, Fumin Shen, Quansen Sun and Yun-Hao Yuan, Multi-view Latent Hashing for Efficient Multimedia Search, ACM Multimedia (MM), , October (short paper) 29. Mengqiu Hu, Yang Yang, Hanwang Zhang, Fumin Shen, Jie Shao and Fuhao Zou, Multi-view Semi-supervised Learning for Web Image Annotation, ACM Multimedia (MM), , October (short paper) 30. Ke zhou, Yu Liu, Jingkuang Song, Lingyu Yan, Fuhao Zou and Fumin Shen, Deep Self-taught Hashing for Image Retrieval, ACM Multimedia (MM), , October (short paper) 31. Mingxing Zhang, Fumin Shen, Hanwang Zhang, Ning Xie and Wankou Yang, Hashing with Inductive Supervised Learning, Pacific-Rim Conference on Multimedia (PCM), , September Fumin Shen, Chunhua Shen, Qinfeng Shi, Anton van den Hengel, Zhenmin Tang, Inductive Hashing on Manifolds, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp , June (CCF A) 33. Jingsong Xu, Qiang Wu, Jian Zhang, Fumin Shen, Zhenmin Tang, Training Boosting-like Algorithms with Semi-supervised Subspace Learning, IEEE International conference on image processing (ICIP), pp , September Journal 1. Yazhou Yao, Jian Zhang, Fumin Shen*, Xian-Sheng Hua, Jingsong Xu, Zhenmin Tang. Exploiting Web Images for Dataset Construction: A Domain Robust Approach, IEEE Transactions on Multimedia (TMM), accepted. 2. Yadan Luo, Yang Yang, Fumin Shen, Zi Huang, Pan Zhou, Heng Tao Shen. Robust Discrete Code Modeling for Supervised Hashing. Pattern Recognition (PR), preprint. 3. Xing Xu, Fumin Shen*, Yang Yang, Heng Tao Shen and Xuelong Li, Learning Discriminative Binary Codes for Large-scale Cross-modal Retrieval, IEEE Transactions on Image Processing (TIP), preprint. (CCF A) 4. Yazhou Yao, Jian Zhang, Fumin Shen, Xiansheng Hua, Jingsong Xu, Zhenmin Tang, A new web-supervised method for image dataset constructions, Neurocomputing, Vol. 236, pp , Liangfu Cao, Lianli Gao, Xing Xu, Fumin Shen, Yuan Wang, Jingkuan Song, Multiple Hierarchical Deep Hashing for Large Scale Image Retrieval, Multimedia Tools and Applications, preprint. 6. Dongxiang Zhang, Yuchen Li, Ju Fan, Lianli Gao, Fumin Shen and Heng Tao Shen, Processing Long Queries Against Short Text: Top-k Advertisement Matching in News Stream Applications, ACM Transactions on Information Systems (TOIS), preprint. (CCF A) 7. Lianli Gao, Xiangpeng Li, Xing Xu, Jie Shao, Fumin Shen and Jingkuan Song, Kernel based Latent Semantic Sparse Hashing for Large-scale Retrieval from Heterogeneous Data Sources, Neurocomputing (Elsevier), preprint. 3

4 8. Yanyun Qu, Li Lin, Fumin Shen, Chang Lu, Yang Wu, Yuan Xie and Dacheng Tao, Joint Hierarchical Category Structure Learning and Large-Scale Image Classification, IEEE Transactions on Image Processing (TIP), preprint. (CCF A) 9. Xiaobo Shen, Fumin Shen, Quan-sen Sun, Yang Yang, Yun-Hao Yuan, Heng Tao Shen, Semi-paired Discrete Hashing: Learning Latent Hash Codes for Semi-paired Cross-view Retrieval, IEEE Transactions on Cybernetics (TCYB), preprint. 10. Guangwei Gao, Jian Yang, Xiao-Yuan Jing, Fumin Shen, Wankou Yang and Dong Yue, Learning Robust and Discriminative Low-rank Representations for Face Recognition with Occlusion, Pattern Recognition (PR), Vol. 66, pp , Yan Xu, Fumin Shen*, Xing Xu, Lianli Gao and Yuan Wang, Large-scale Image Retrieval with Supervised Sparse Hashing, Neurocomputing (Elsevier), Vo. 229, pp , Zhongyu Li, Ruogu Fang, Fumin Shen and Shaoting Zhang, Indexing and Mining Large-Scale Neuron Databases using Maximum Inner Product Search, Pattern Recognition (PR), Vol. 63, pp , Yi Bin, Yang Yang, Fumin Shen, Xing Xu, Combining multi-representation for multimedia event detection using co-training, Neurocomputing (Elsevier), Vol. 217, pp , Li Liu, Zijia Lin, Ling Shao, Fumin Shen, Guiguang Ding and Jungong Han, Sequential Discrete Hashing for Scalable Cross-modality Similarity Retrieval, IEEE Transactions on Image Processing (TIP), Vol. 26, Issue: 1, pp , (CCF A) 15. Fumin Shen, Xiang Zhou, Yang Yang, Jingkuan Song, Heng Tao Shen and Dacheng Tao, A Fast Optimization Method for General Binary Code Learning, IEEE Transactions on Image Processing (TIP), Vol. 25, Issue: 12, pp , (CCF A) 16. Yuan Wang, Dongxiang Zhang, Qing Liu, Fumin Shen and Loo Hay Lee, Towards Enhancing the Last-Mile Delivery: An Effective Crowd-Tasking Model with Scalable Solutions, Transportation Research Part E: Logistics and Transportation Review (TRE), Vol. 93, pp Zhao Guo, Lianli Gao, xiantong zhen, Fuhao Zou, Fumin Shen, Kai Zheng, Spatial and Temporal Scoring for Egocentric Video Summarization, Neurocomputing (Elsevier), Vol. 208, pp , Rui Yao, Shixiong Xia, Fumin Shen, Yong Zhou and Qiang Niu, Exploiting Spatial Structure from Parts for Adaptive Kernelized Correlation Filter Tracker, IEEE Signal Processing Letters, Vol. 23, no. 5, pp , Qi Ge, Fumin Shen, Xiao-Yuan Jing, Fei Wu, Shi-Peng Xie, Dong Yue, Hai-Bo Li, Active Contour Evolved by Joint Probability Classification on Riemannian Manifold, Signal, Image and Video Processing, Vol. 10, Issue: 7, pp , Hanxi Li, Fumin Shen*, Chunhua Shen, Yang Yang, Yongsheng Gao, Face Recognition Using Linear Representation Ensembles, Pattern Recognition (PR), Vol.59, pp , Fumin Shen, Chunhua Shen, Xiang Zhou, Yang Yang and Heng Tao Shen, Face Image Classification by Pooling Raw Features, Pattern Recognition (PR), Vol. 54, Issue:6, pp , Yang Yang, Fumin Shen*, Heng Tao Shen, Hanxi Li and Xuelong Li, Robust Discrete Spectral Hashing for Large-Scale Image Semantic Indexing, IEEE Transactions on Big Data (TBD), Vol. 1, Issue:4, pp , Xiaobo Shen, Fumin Shen*, Quan-Sen Sun, Yun-Hao Yuan and Heng Tao Shen, Robust Cross-view Hashing for Multimedia Retrieval, IEEE Signal Processing Letters, Vol. 23, Issue:6, pp , Zhenyu Wang, Wankou Yang and Fumin Shen, Face Recognition Using A Low-Rank Representation Based Projections Method, Neural Processing Letters, Vol. 43, Issue: 3, pp , Fumin Shen, Yang Yang, Xiang Zhou, Xianglong Liu and Jie Shao, Face Identification with Second-Order Pooling in Single-layer Networks, Neurocomputing, Vol. 187, pp ,

5 26. Mingxing Zhang, Yang Yang, Hanwang Zhang and Fumin Shen, l 2,p -norm and Sample Constraint Based Feature Selection and Classification for AD Diagnosis, Neurocomputing, Vol. 195, pp , Mingxing Zhang, Yang Yang, Fumin Shen, Hanwang Zhang and Yuan Wang, Multi-view feature selection and classification for Alzheimers Disease diagnosis, Multimedia Tools and Applications, preprint. 28. Sixiu Chen, Fumin Shen*, Yang Yang, Xing Xu, Jingkuan Song, Supervised hashing with adaptive discrete optimization for multimedia retrieval, Neurocomputing, Xiang Zhou, Fumin Shen*, Yang Yang, Guangwei Gao, Yuan Wang, Binary Code Learning via Optimal Class Representations, Neurocomputing, Vol. 208, pp , Fumin Shen, Wankou Yang, Hanxi Li, Hanwang Zhang, Heng Tao Shen, Robust regression based face recognition with fast outlier removal, Multimedia Tools and Applications, Vol. 75, Issue: 20, pp , Fumin Shen, Chunhua Shen, Qinfeng Shi, Anton van den Hengel, Zhenmin Tang, Heng Tao Shen, Hashing on Nonlinear Manifolds, IEEE Transactions on Image Processing (TIP), Vol. 24, Issue:6, pp , (CCF A) [ESI Hot Paper] [ESI Highly Cited Paper] 32. Hoangvu Nguyen, Wankou Yang, Fumin Shen, Kernel Low-Rank Representation for Face Recognition, Neurocomputing, Vol. 155, Issue:1, pp , Wankou Yang, Karl Ricanek, Fumin Shen, Image classification using local linear regression, Neural Computing and Applications, Vol. 25, Issue:7, pp , Fumin Shen, Chunhua Shen, Rhys Hill, Anton van den Hengel, Fast Approximate L -Minimization: Speeding Up Robust Regression, Computational Statistics & Data Analysis, Vol.77, pp , Jingsong Xu, Qiang Wu, Jian Zhang, Fumin Shen, Zhenmin Tang, Boosting Separability in Semi-supervised Learning for Object Classification, IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), Vol. 24, pp , Fumin Shen, Chunhua Shen, Anton van den Hengel, Zhenmin Tang, Approximate Least Trimmed Sum of Squares Fitting and Applications in Image Analysis, IEEE Transactions on Image Processing (TIP), Vol. 22, Issue: 5, pp , (CCF A) 37. Fumin Shen, Zhenmin Tang, Jingsong Xu, Locality constrained representation based classification with spatial pyramid patches, Neurocomputing, Vol. 101, pp , Chunhua Shen, Peng Wang, Fumin Shen, Hanzi Wang, U Boost: Boosting with the Universum, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Vol. 34, Issue 4, pp , (CCF A) Editorial 1. Fumin Shen, Hanwang Zhang, Yang Yang (Eds.), Neurocomputing special issue on Binary representation learning in computer vision, academic activities Guest Editor or conference Chair Pattern Recognition Letters, Special Issue on Learning Compact Representations for Scalable Visual Recognition and Retrieval, 2018 Neural Processing Letters, Special Issue on Feature Representation and Learning in Big Data, 2017 Advances in Multimedia, Special Issue on Learning Binary Representation for Computer Vision Applications, 2017 Neurocomputing, Special Issue on Binary Representation Learning in Computer Visioin, 2015 MMM, special session on Good Practices on Multimedia Modelling,

6 ICIMCS, special session on Hashing and its Applications in Big Data, 2016 Reviewer IEEE Transactions on Neural Networks and Learning Systems (TNNLS) IEEE Transactions on Image Processing (TIP) IEEE Transactions on Knowledge Discovery Engineering (TKDE) IEEE Transactions on Cybernetics (TCYB) IEEE Transactions on Circuits and Systems for Video Technology (TCSVT) Pattern Recognition (PR) Neurocomputing IEEE International Conference on Computer Vision (ICCV) IEEE International Conference on Computer Vision and Pattern Recognition (CVPR) ACM Multimedia Conference (MM)... Program Committee Member Grant Teaching (Co-)Supervision Awards Computer Skills Languages IEEE International Conference on Computer Vision (ICCV),2017 ACM International Conference on Multimedia (MM), 2017 ACM International Conference on Multimedia Retrieval (ICMR), 2016, 2017 International Conference on Multimedia Modelling (MMM), 2016 International Conference on Pattern Recognition (ICPR), 2016 Chinese Conference on Pattern Recognition (CCPR), 2016 ACM International Conference on Multimedia (MM), Practical Robust Regression for Visual Recognition, National Science Foundation of China, Grant No , Principal Investigator (1), , 230K RMB. 2. Robust Regression based Face Recognition, Jiangsu Key Laboratory of Image and Video Understanding for Social Safety, Grant No. SHAQKFKT201502, Principal Investigator (1), , 20K RMB. 3. Gait Recognition based on Robust Regression, University of Electronic Science and Technology, Grant No. ZYGX2015kyqd017, Principal Investigator (1), , 150K RMB. Elements of Computational Mathematics, Semester 1, 2016 (Lecturer) Elements of Computational Mathematics, Semester 2, 2015 (Lecturer) Artificial Intelligence, Semester 1, 2015 (Teaching Assistant) Frontiers of Computer Science, Semester 2, 2014 (Guest Lecturer). Graduate students: Teng Long, Sixiu Chen, Mingming Yang, Xin Gao Undergraduate students: Xiang Zhou, Yan Xu (Excellent Graduation Thesis Award), Jing Deng (Excellent Graduation Thesis Award), Jin Xu Best Paper Award Honorable Mention, ACM SIGIR Outstanding Doctoral Dissertation, Nanjing University of Science & Technology, China Chinese Scholarship Council (CSC) scholarship, visiting NICTA, ANU and University of Adelaide, Australia Full Master and Ph.D. scholarship, Nanjing University of Science & Technology, China Matlab, C/C++, LATEX, Python, Linux, Microsoft Windows Chinese Mothertongue 6

7 English Fluent Last update: Feb

Lingxi Xie. Post-doctoral Researcher (supervised by Prof. Alan Yuille) Center for Imaging Science, the Johns Hopkins University

Lingxi Xie. Post-doctoral Researcher (supervised by Prof. Alan Yuille) Center for Imaging Science, the Johns Hopkins University Lingxi Xie Room 246, Malone Hall, the Johns Hopkins University, Baltimore, MD 21218, USA EMail: 198808xc@gmail.com Homepage: http://bigml.cs.tsinghua.edu.cn/~lingxi/ Title Education Background Post-doctoral