Department of Computer Science and Engineering Shanghai, China

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1 Li Niu Contact Information Department of Computer Science and Engineering Shanghai, China Research Interests Major: Computer Vision, Machine Learning, Deep Learning Minor: Evolutionary Computation, Natural Language Processing, Logic Programming Education Nanyang Technological University (NTU) Aug 2013 Mar 2017 Ph.D. in Computer Science and Engineering GPA: 4.5/5.0 University of Science and Technology of China (USTC) Sep 2007 Jul 2011 B.Sci. in Computer Science GPA: 87.26/100 Rank: 7/155 (5%) Professional Experience Shanghai Jiaotong University, Shanghai, China Associate Professor Sep 2018 present Rice University, Houston, TX, U.S. Apr 2017 Aug 2018 Postdoc Associate Working on FLASH (Family-Level Assessment of Screen use in the Home): create a platform to automatically, accurately and non-intrusively monitor the screen time usage of adults and children in their homes. Involved technics are including but not limited to face detection, face tracking, face recognition, and gaze estimation. Amazon, Berlin, Germany Jul 2016 Oct 2016 Research Scientist Intern Developing computer vision algorithms for Amazon Fresh project, specifically, exploiting multi-instance learning techniques for produce (i.e., fruit and vegetable) quality classification and defect localization based on multi-spectrum image. Nanyang Technological University, Singapore Aug 2013 Mar 2017 Ph.D. Candidate Developing algorithms on learning from loosely labeled heterogeneous web data (e.g., images, videos, and text) or multi-view data (e.g., RGB-D data) for computer vision tasks (e.g., image classification, video action recognition, and video event recognition). Stony Brook University, New York, U.S. Sep 2011 May 2013 Research Assistant Working on Flora-2 compiler in SILK (Semantic Inferencing on Large Knowledge) project, which is an advanced object-oriented reasoning system based on F-logic,

2 HiLog, and Transaction logic. Motorola Solutions, Shanghai, China Feb 2011 Jun 2011 Engineer Intern Developing a software which can extract the textual region from a photo of envelope based on template matching. Chinese Academy of Sciences, Beijing, China Jul 2010 Jan 2011 Engineer Intern Developing a tool for visualizing the decoding procedure in machine translation and another tool for multi-lingual sentence segmentation/alignment. University of Sci. and Tech. of China, Hefei, China Oct 2009 May 2010 B.Sci. Candidate Working on AOAB (Automated Optimization Algorithm Benchmarking) system which can evaluate the genetic algorithms uploaded by users on benchmark functions and then send the feedback report to users automatically. Journal Conference Viswam Nathan, Sudip Paul, Temiloluwa Prioleau, Li Niu, Bobak J. Mortazavi, Stephen A. Cambone, Ashok Veeraraghavan, Ashutosh Sabharwal, and Roozbeh Jafar. A Survey on Smart Homes for Aging in Place. accepted by IEEE Signal Processing Magazine, (impact factor: 9.6) Tao Dai, Ke Gu, Li Niu, Yongbing Zhang, Weizhi Lu, and Shutao Xia. Referenceless Quality Metric of Multiply-distorted Images based on Structural Degradation. accepted by Neurocomputing, vol. 290, pp , (impact factor: 3.3) Li Niu, Wen Li, Dong Xu, and Jianfei Cai. An Exemplar-based Multi-view Domain Generalization Framework for Visual Recognition. accepted by IEEE Transactions on Neural Networks and Learning Systems (TNNLS), vol. 29, no. 2, pp , (impact factor: 6.1) Li Niu, Wen Li, and Dong Xu. Visual Recognition by Learning from Web Data via Weakly Supervised Domain Generalization. accepted by IEEE Transactions on Neural Networks and Learning Systems (TNNLS), vol. 28, no. 9, pp , (impact factor: 6.1) Li Niu, Wen Li, and Dong Xu. Exploiting Privileged Information from Web Data for Action and Event Recognition. accepted by International Journal of Computer Vision (IJCV), vol. 118, no. 2, pp , (impact factor: 8.2) Li Niu, Xinxing Xu, Lin Chen, Lixin Duan, and Dong Xu. Action and Event Recognition in Videos by Learning from Heterogeneous Web Sources. accepted by IEEE Transactions on Neural Networks and Learning Systems (TNNLS), vol. 28, no. 6, pp , (impact factor: 6.1) Yeli Xing, Jiawei Li, Tao Dai, Qingtao Tang, Li Niu, and Shutao Xia. Portrait-aware Artistic Style Transfer. accepted by IEEE International Conference on Image Processing (ICIP), Li Niu, Qingtao Tang, Ashok Veeraraghavan, and Ashu Sabharwal. Learning from

3 Noisy Web Data with Category-level Supervision. accepted by Proceedings of IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), Li Niu, Ashok Veeraraghavan, and Ashu Sabharwal. Webly Supervised Learning Meets Zero-shot Learning: A Hybrid Approach for Fine-grained Classification. accepted by Proceedings of IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2018 Jiuxiang Gu, Jianfei Cai, Shafiq Joty, Li Niu, and Gang Wang. Look, Imagine and Match: Improving Textual-Visual Cross-Modal Retrieval with Generative Models. accepted by Proceedings of IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), Yeli Xing, Jiawei Li, Tao Dai, Qingtao Tang, Li Niu, and Shutao Xia. Portrait-aware Artistic Style Transfer. accepted by IEEE International Conference on Image Processing (ICIP), Zhiya Xu, Tao Dai, Li Niu, Jiawei Li, Qingtao Tang, and Shutao Xia. SURE-Based Dual Domain Image Denoising. accepted by IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Yang Zhang, Qingtao Tang, Li Niu, Tao Dai, Xi Xiao, and Shutao Xia. Self-paced Mixture of T-distribution Model. accepted by IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Tianyi Zhang, Li Niu, Jianfei Cai, and Alex Kot. Action Proposals Using Hierarchical Clustering of Super-trajectories. accepted by IEEE Visual Communications and Image Processing (VCIP), pp. 1 4, Qingtao Tang, Li Niu, Yisen Wang, Tao Dai, Wangpeng An, Jianfei Cai, and Shutao Xia. Student-t Process Regression with Student-t Likelihood. accepted by International Joint Conference on Artificial Intelligence (IJCAI), pp , Qingtao Tang, Tao Dai, Li Niu, Yisen Wang, Shutao Xia, and Jianfei Cai. Robust Survey Aggregation with Student-t Distribution and Sparse Representation., accepted by International Joint Conference on Artificial Intelligence (IJCAI), pp , Li Niu, Jianfei Cai, and Dong Xu. Domain Adaptive Fisher Vector for Visual Recognition. accepted by Proceedings of European Conference on Computer Vision (ECCV), pp , Li Niu, Wen Li, and Dong Xu. Multi-view Domain Generalization for Visual Recognition. accepted by Proceedings of IEEE International Conference on Computer Vision (ICCV), pp , Li Niu, Wen Li, and Dong Xu. Visual Recognition by Learning from Web Data: A Weakly Supervised Domain Generalization Approach. accepted by Proceedings of IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), pp , Li Niu*, Wen Li*, and Dong Xu. Exploiting Privileged Information from Web Data for Image Categorization. accepted by Proceedings of European Conference on Computer Vision (ECCV), pp , * indicates equal contribution Zheng Xu, Wen Li, Li Niu, and Dong Xu. Exploiting Low-rank Structure from Latent Domains for Domain Generalization. accepted by Proceedings of European Con-

4 ference on Computer Vision (ECCV), pp , Thomas Weise, Li Niu, and Ke Tang. AOAB : Automated Optimization Algorithm Benchmarking. accepted by Genetic and Evolutionary Computation Conference (GECCO), pp , Under Review Teaching Experience Li Niu, Jianfei Cai, and Ashok Veeraraghavan. Zero-Shot Learning via Category- Specific Visual-Semantic Mapping. submitted to IEEE Transactions on Image Processing (TIP), (impact factor: 4.8) Jasper Tan, Li Niu, Jesse K. Adams, Vivek Boominathan, Jacob T. Robinson, Richard G. Baraniuk, and Ashok Veeraraghavan. Face Detection and Verification Using Lensless Cameras with Application to the Internet of Things. submitted to International Journal of Computer Vision (IJCV), (impact factor: 8.2) Xu Chen, Li Niu, Ashok Veeraraghavan, and Ashu Sabharwal. Estimating Gameplay Engagement from User-contributed Videos. submitted to IEEE Transactions on Affective Computing (TAC), (impact factor: 3.1) Stony Brook University Teaching Assistant, CSE110: Introduction to Computer Science, Teaching Assistant, CSE114: Introduction to Java Programming, 2012 Nanyang Technological University Teaching Assistant, CSC304: AI and Intelligent Systems, 2015 Rice University Teaching Assistant, COMP546: Introduction to Computer Vision, 2018 Academic Services Conference Reviewer IEEE International Conference on Computer Vision and Pattern Recognition (CVPR) IEEE International Conference on Computer Vision (ICCV) European Conference on Computer Vision (ECCV) Journal Reviewer IEEE Transactions on Image Processing (TIP) IEEE Transactions on Neural Networks and Learning Systems (TNNLS) IEEE Transactions on Circuits and Systems for Video Technology (TCSVT) IEEE Transactions on Medical Imaging (TMI) IPSJ Transactions on Computer Vision and Applications (CVA) Journal of Electronic Imaging (JEI) Neurocomputing Honors and Awards Engineering Doctoral Scholarship in NTU Outstanding Student Award in USTC

5 Computer Skills Programming Languages: C/C++, Python, Matlab, Java, Prolog Libraries: OpenCV, Caffe, Tensorflow

Lixin Duan. Basic Information.

Lixin Duan. Basic Information. Lixin Duan Basic Information Research Interests Professional Experience www.lxduan.info lxduan@gmail.com Machine Learning: Transfer learning, multiple instance learning, multiple kernel learning, many