AA PPS 04.02.20 Form A

TEXAS STATE VITA

I. Academic/Professional Background

A. Name and Title

Name: Dr. Yan Yan Title: Assistant Professor

B. Educational Background

Degree Year University Major Thesis/Dissertation PHD 2017 University of Information and Trento Communication Technology MS 2010 Georgia Institute Electrical and of Technology Computer Engineering

C. University Experience

Position University Dates Assistant Professor Texas State September 2017 - University Present Research Fellow University of August 2016 - Michigan August 2017 Research Fellow University of May 2014 - July Trento 2016

D. Relevant Professional Experience

Position Entity Dates Visiting Postdoc Advanced April 2015 - Digital Sciences October 2015 Center, Singapore Visiting Scholar Carnegie Mellon April 2013 - University November 2013

II. TEACHING

B. Courses Taught:

Texas State University:

CS 4347 - INTRO TO MACHINE LEARNING

CS 4378V - INTRO MACHINE LRNG Page 1 of 14 AA PPS 04.02.20 Form A

CS 5199B - THESIS

CS 5395 - IND STUDY ADV

CS 5399A - THESIS

CS 5399B - THESIS

CS 7313 - MACH LNG PAT RECOG

CS 7313 - MACHINE LEARNING PATTERN RECOG

CS 7323 - IMAGE PROCESSING & COMP VISION

CS 7387 - RESEARCH IN COMPUTER SCIENCE

Other:

UMICH EECS 542 - Advanced Topics in Computer Vision

C. Directed Student Learning (i.e. theses, dissertations, exit committees, etc.):

Supervisor / Chair, Dissertation, Status: In Progress. (August 2018 - May 2023). Computer Science, Texas State University. Student(s): Keshav Bhandari, Doctoral, PhD.

Member, Applied Research Project, Status: In Progress. (2017 - 2020). Computer Science, University of Trento. Student(s): Hao Tang, Doctoral, CS PHD.

Supervisor / Chair, Master's Thesis, Status: In Progress. (August 2018 - May 2019). Computer Science, Texas State University. Student(s): Angeline Jebakumari Lawrence Jebaraj, Graduate, Master.

Member, Applied Research Project, Status: Completed. (2014 - 2018). Computer Science, University of Trento. Student(s): Wei Wang, Doctoral, CS PHD.

Member, Dissertation, Status: Completed. (2017). Computer Science, Texas State University. Student(s): Christopher Hyatt, Graduate, CS Master.

Member, Applied Research Project, Status: Completed. (2016 - 2017). Computer Science, University of Michigan. Student(s): Luowei Zhou, Doctoral, CS PHD.

Member, Applied Research Project, Status: Completed. (2013 - 2017). Computer Science, University of Trento.

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Student(s): Gaowen Liu, Doctoral, CS PHD.

Member, Applied Research Project, Status: Completed. (2014 - 2016). Computer Science, University of Trento. Student(s): Andreza Sartori, Doctoral, CS PHD.

Member, Applied Research Project, Status: Completed. (2014 - 2016). Computer Science, University of Trento. Student(s): Dan Xu, Doctoral, CS PHD.

Member, Applied Research Project, Status: Completed. (2013 - 2015). Computer Science, University of Delaware. Student(s): Guoyu , Doctoral, CS PHD.

D. Courses Prepared and Curriculum Development:

CS 4378V Introduction to Machine Learning, First Time Course Preparation, Texas State University. Taught: 2018 - 2099.

CS 7313 Advanced Machine Learning and Pattern Recognition, First Time Course Preparation, Texas State University. Taught: 2018 - 2099.

III. SCHOLARLY/CREATIVE

A. Works in Print (including works accepted, forthcoming, in press):

1. Books:

c. Edited Books:

Refereed:

Yan, Y., Lu, J., Mian, A., Ross, A., Murino, V., & Horaud, R. (2017). Language in Vision. Computer Vision and Image Understanding. Elsevier.

Darrell, T., Lampert, C., Sebe, N., , Y., & Yan, Y. (2017). Learning with Shared Information for Computer Vision and Multimedia Analysis. IEEE Transactions on Pattern Recognition and Machine Intelligence.

Yan, Y., Nie, L., & Cucchiara, R. (2017). Multimedia Understanding via Multimodal Analytics. ACM Transactions on Multimedia Computing, Communications, and Applications.

Yan, Y., & Lu, J. (2016). A Bridging the Semantic Gap in Multimedia Understanding. Neurocomputing.

Yan, Y., Han, Y., Radeva, P., & Tian, Q. (2016). Intermediate Representation for Vision and Multimedia Applications. Journal of Visual Communication and Image Representation.

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Yan, Y., Ma, Z., & Ni, B. (2016). Representation Learning for Multimedia Data Understanding. Multimedia Tools and Applications.

d. Chapters in Books:

Refereed:

Ricci, E., Yan, Y., Rajagopal, A. K., Subramanian, R., Vieriu, R. L., Lanz, O., & Sebe, N. (2017). Exploring multi-task and transfer learning algorithms for head pose estimation in dynamic multi-view scenarios. In Group and Crowd Behavior for Computer Vision. Elsevier.

2. Articles:

a. Refereed Journal Articles:

Roossien, D., Sadis, B., Yan, Y., & Cai, D. (2019). Multispectral tracing in densely labeled mouse brain with nTracer. BMC Bioinformatics. Published.

Fulton, L. V., Dolezel, D. M., Yan, Y., & Fulton, C. P. (2019). Classification of Alzheimer’s Disease with and without Imagery Using Gradient Boosted Machines and ResNet-50. Brain Sciences, 9(9), 212. https://doi.org/10.3390/brainsci9090212 JCR IF: 2.8 Q2 Neuroscience

Wang, W., Yan, Y., Cui, Z., Feng, J., Yan, S., & Sebe, N. (2019). Recurrent face aging with hierarchical autoregressive memory. IEEE Transactions on Pattern Analysis and Machine Intelligence, 31(3).

Liu, W., Chang, X., Yan, Y., Yang, Y., & Hauptmann, A. (2018). Few-Shot Text and Image Classification via Analogical Transfer Learning. ACM Transactions on Intelligent Systems and Technology, 9(6).

Wang, W., Yan, Y., Nie, F., Yan, S., & Sebe, N. (2018). Flexible Manifold Learning With Optimal Graph for Image and Video Representation. IEEE Transactions on Image Processing, 27(6).

Darrell, T., Lampert, C., Sebe, N., Wu, Y., & Yan, Y. (2018). Guest Editors’ Introduction to the Special Section on Learning with Shared Information for Computer Vision and Multimedia Analysis. IEEE Transactions on Pattern Analysis and Machine Intelligence, 5(40).

Yan, Y., Nie, L., & Cucchiara, R. (2018). Special Section on “Multimedia Understanding via Multimodal Analytics.” ACM Transactions on Multimedia Computing, Communications, and Applications, 14(37).

Li, W., Chen, D., Lv, Z., Yan, Y., & Darren, C. (2018). Learn to Model Blurry Motion via Directional Similarity and Filtering. Pattern Recognition, 75. Published.

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Wang, W., Lv, Z., Li, X., Xu, W., Zhang, B., Zhu, Y., & Yan, Y. (2018). Spatial query based virtual reality GIS analysis platform. Neurocomputing, 274. Published.

Hao, S., Wang, W., Yan, Y., & Bruzzone, L. (2017). Class-wise dictionary learning for hyperspectral image classification. Neurocomputing, 220, 121–129.

Hu, R., Zhu, X., Cheng, D., He, W., Yan, Y., Song, J., & Zhang, S. (2017). Graph Self-representation method for Unsupervised Feature Selection. Neurocomputing, 220, 130–137.

Lu, G., Yan, Y., Sebe, N., & Kambhamettu, C. (2017). Indoor localization via multi-view images and videos. Computer Vision and Image Understanding, 161. Published.

Xia, Y., Liu, Z., Yan, Y., Chen, Y., Zhang, L., & Zimmermann, R. (2017). Media Quality Assessment by Perceptual Gaze-Shift Patterns Mining. IEEE Transactions on Multimedia, 19(8).

Yan, Y. (2017). Multiview Physician-Specific Attributes Fusion for Health Seeking. IEEE Transactions on Cybernetics, 47(11), 3680–3691.

Yan, Y., Ricci, E., Subramanian, R., Liu, G., Lanz, O., & Sebe, N. (2016). A Multi-task Learning Framework for Head Pose Estimation under Target Motion. IEEE Transactions on Pattern Recognition and Machine Intelligence, 38, 1070–1083.

Liu, G., Yan, Y., Subramanian, R., Song, J., Lu, G., & Sebe, N. (2016). Active Domain Adaptation with Noisy Labels for Multimedia Analysis. World Wide Web, 19, 199–215.

Wang, W., Yan, Y., Winkler, S., & Sebe, N. (2016). Category Specific Dictionary Learning for Attribute Specific Feature Selection. IEEE Transactions on Image Processing, 25, 1465–1478.

Wang, W., Yan, Y., Zhang, L., Hong, R., & Sebe, N. (2016). Collaborative Sparse Coding for Multi-view Action Recognition. IEEE Multimedia, 23(4), 80–87.

Sartori, A., Culibrk, D., Yan, Y., Job, R., & Sebe, N. (2016). Computational Modeling of Affective Qualities of Abstract Paintings. IEEE Multimedia, 23(3), 40–54.

Song, J., Gao, L., Zou, F., Yan, Y., & Sebe, N. (2016). Deep and Fast: Deep Learning Hashing with Semi-supervised Graph Construction. Image and Vision Computing, 55, 101–108.

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Xu, D., Yan, Y., Ricci, E., & Sebe, N. (2016). Detecting Anomalous Events in Videos by Learning Deep Representations of Appearance and Motion. Computer Vision and Image Understanding, 156. Published.

Song, J., Gao, L., Nie, F., Shen, H., Yan, Y., & Sebe, N. (2016). Optimized Graph Learning Using Partial Tags and Multiple Features for Image and Video Annotation. IEEE Transactions on Image Processing, 25, 4999–5011.

Xia, Y., Zhang, L., Hong, R., Nie, L., Yan, Y., & Shao, L. (2016). Perceptually- Guided Photo Retargeting. IEEE Transactions on Cybernetics, 47(3).

Zhang, L., Li, X., Nie, L., Yan, Y., & Zimmermann, R. (2016). Semantic Photo Retargeting under Noisy Image Labels. ACM Transactions on Multimedia Computing Communications and Applications, 12(3).

Lu, G., Yan, Y., Li, R., Saponaro, P., Sebe, N., & Kambhamettu, C. (2016). Where Am I in the Dark: Exploring Active Transfer Learning on the Use of Indoor Localization based on Thermal Imaging. Neurocomputing, 173, 89–92.

Yan, Y., Ricci, E., Liu, G., & Sebe, N. (2015). Egocentric Daily Activity Recognition via Multitask Clustering. IEEE Transactions on Image Processing, 24, 2984–2995.

Shen, H., Yan, Y., Xu, S., Ballas, N., & Chen, W. (2015). Evaluation of Semi- Supervised Learning Method on Action Recognition. Multimedia Tools and Applications, 74, 523–542.

Yan, Y., Yang, Y., Meng, D., Liu, G., Tong, W., Hauptmann, A., & Sebe, N. (2015). Event Oriented Dictionary Learning for Complex Event Detection. IEEE Transactions on Image Processing, 24, 1867–1878.

Zhao, Q., Meng, D., Xu, Z., Zuo, W., & Yan, Y. (2015). L1-Norm Low-Rank Matrix Factorization by Variational Bayes. IEEE Transactions on Neural Networks and Learning Systems, 26, 825–839.

Yan, Y., Shen, H., Liu, G., Ma, Z., Gao, C., & Sebe, N. (2014). GLocal Tells You More: Coupling GLocal Structural for Feature Selection with Sparsity for Image and Video Classification. Computer Vision and Image Understanding, 124, 99–109.

Yan, Y., Ricci, E., Subramanian, R., Liu, G., & Sebe, N. (2014). Multi-task Linear Discriminant Analysis for Multi-View Action Recognition. IEEE Transactions on Image Processing, 23, 5599–5611.

Cai, S., Wang, C., Yan, Y., & Liu, Y. (2013). Analysis of the pencil of conics with double complex contact and its application to camera calibration. Journal of Shanghai Jiaotong University (Science). Published.

3. Conference Proceedings:

Page 6 of 14 AA PPS 04.02.20 Form A a. Refereed Conference Proceedings:

Lin, Y., Dong, X., , L., Yan, Y., & Yang, Y. (2019). A bottom-up clustering approach to unsupervised person re-identification. In AAAI Conference on Artificial Intelligence.

Tang, H., Xu, D., Sebe, N., & Yan, Y. (2019). Attention-Guided Generative Adversarial Networks for Unsupervised Image-to-Image Translation. In International Joint Conference on Neural Networks.

Tang, H., Chen, X., Wang, W., Xu, D., Corso, J., Sebe, N., & Yan, Y. (2019). Attribute-Guided Sketch Generation. In IEEE International Conference on Automatic Face and Gesture Recognition.

Tang, H., Xu, D., Liu, G., Wang, W., Sebe, N., & Yan, Y. (2019). Cycle In Cycle Generative Adversarial Networks for Keypoint-Guided Image Generation. In ACM International Conference on Multimedia.

Tang, H., Wei, H., Xiao, W., Wang, W., Xu, D., Yan, Y., & Sebe, N. (2019). Deep Micro-Dictionary Learning and Coding Network. In IEEE Winter Conference on Applications of Computer Vision.

Wu, Y., Zhu, L., Yan, Y., & Yang, Y. (2019). Dual Attention Matching for Audio-Visual Event Localization. In IEEE International Conference on Computer Vision.

Tang, H., Wang, W., Wu, S., Chen, X., Xu, D., Sebe, N., & Yan, Y. (2019). Expression Conditional GAN for Facial Expression-to-Expression Translation. In IEEE International Conference on Image Processing.

Wu, S., Lu, Z., Tang, H., Yan, Y., Zhu, S., & Jing, X.-Y. (2019). Joint Learning of Self-representation and Indicator for Multi-view Image Clustering. In IEEE International Conference on Image Processing.

Tang, H., Xu, D., Wang, Y., Corso, J., Sebe, N., & Yan, Y. (2019). Multi- Channel Attention Selection GAN with Cascaded Semantic Guidance for Cross-View Image Translation. In IEEE International Conference on Computer Vision and Pattern Recognition.

Tang, H., Xu, D., Wang, W., Yan, Y., & Sebe, N. (2018). Dual Generator Generative Adversarial Networks for Multi-Domain Image-to-Image Translation. In Asian Conference on Computer Vision.

Tang, H., Wang, W., Xu, D., Yan, Y., & Sebe, N. (2018). GestureGAN for Hand Gesture-to-Gesture Translation in the Wild. In ACM International Conference on Multimedia.

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Yan, Y., Xu, C., Cai, D., & Corso, J. (2017). Weakly Supervised Actor-Action Segmentation via Robust Multi-Task Ranking. In IEEE International Conference on Computer Vision and Pattern Recognition.

Ghaemmaghami, P., Nabi, M., Yan, Y., Riccardi, G., & Sebe, N. (2017). A Cross- modal Adaptation Approach for Brain Decoding. In IEEE International Conference on Acoustics, Speech and Signal Processing.

Liu, Y., Zhang, L., Nie, L., Yan, Y., & Rosenblum, D. (2016). Fortune Teller: Predicting Your Career Path. In AAAI Conference on Artificial Intelligence.

Ni, B., Song, Z., Ma, C., Yan, Y., & Yang, X. (2016). Person Re-Identification via Recurrent Feature Aggregation. In European Conference on Computer Vision. Springer.

Wang, W., Yan, Y., Nie, F., Yan, S., & Nicu, N. (2016). Projective Unsupervised Flexible Embedding with Optimal Graph. In British Machine Vision Conference.

Alameda-Pineda, X., Ricci, E., Yan, Y., & Sebe, N. (2016). Recognizing Emotions from Abstract Paintings using Non-Linear Matrix Completion. In IEEE International Conference on Computer Vision and Pattern Recognition.

Wang, W., Cui, Z., Yan, Y., Feng, J., Nicu, N., Yan, S., & Shu, X. (2016). Recurrent Face Aging. In IEEE International Conference on Computer Vision and Pattern Recognition.

Wang, W., Yan, Y., Nie, L., Zhang, L., Winkler, S., & Sebe, N. (2016). Sparse Code Filtering for Action Pattern Mining. In Asian Conference on Computer Vision. Springer.

Ghaemmaghami, P., Nabi, M., Yan, Y., & Sebe, N. (2016). Sparse-coded Cross- domain Adaptation from the Visual to the Brain Domain. In IAPR International Conference on Pattern Recognition.

Lu, G., Yan, Y., Kolagunda, A., Sebe, N., & Kambhamettu, C. (2016). A Fast 3D Indoor-localization Approach Based on Video Queries. In International Conference on Multimedia Modelling.

Gliani, S., Subramanian, R., Yan, Y., Melcher, D., Sebe, N., & Winkler, S. (2015). An Eye-tracking Dataset for Animal-centric PASCAL Object Classes. In IEEE International Conference on Multimedia and Expo.

Alameda-Pineda, X., Yan, Y., Ricci, E., Lanz, O., & Sebe, N. (2015). Analyzing Free-standing Conversational Groups: a Multimodal Approach. In ACM International Conference on Multimedia.

Wang, W., Yan, Y., & Sebe, N. (2015). Attribute Guided Dictionary Learning. In ACM International Conference on Multimedia Retrieval.

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Yan, Y., Yang, Y., Shen, H., Meng, D., Liu, G., Hauptmann, A., & Sebe, N. (2015). Complex Event Detection via Event Oriented Dictionary Learning. In AAAI Conference on Artificial Intelligence.

Liu, G., Yan, Y., Ricci, E., Yang, Y., Han, Y., & Sebe, N. (2015). Inferring Painting Style with Multi-task Dictionary Learning. In International Joint Conferences on Artificial Intelligence.

Xu, D., Ricci, E., Yan, Y., Song, J., & Sebe, N. (2015). Learning Deep Representations of Appearance and Motion for Anomalous Event Detection. In British Machine Vision Conference.

Lu, G., Yan, Y., Ren, L., Song, J., Sebe, N., & Kambhamettu, C. (2015). Localize me Anywhere, Anytime: A Multi-task Point-Retrieval Approach. In IEEE International Conference on Computer Vision.

Sartori, A., Yan, Y., Ozbal, G., Salah, A., & Sebe, N. (2015). Looking at Mondrian’s Victory Boogie-Woogie: What do I feel? In International Joint Conferences on Artificial Intelligence.

Gao, L., Song, J., Nie, F., Yan, Y., Sebe, N., & Shen, H. (2015). Optimal Graph Leaning with Partial Tags and Multiple Features for Image and Video Annotation. In IEEE International Conference on Computer Vision and Pattern Recognition.

Song, J., Gao, L., Yan, Y., Zhang, D., & Sebe, N. (2015). Supervised Hashing with Pseudo Labels for Scalable Multimedia Retrieval. In ACM International Conference on Multimedia.

Sartori, A., Culibrk, D., Yan, Y., & Sebe, N. (2015). Who’s afraid of Itten: Using the art theory of color combination to analyze emotions in abstract paintings. In ACM International Conference on Multimedia.

Yan, Y., Ricci, E., Liu, G., Subramanian, R., & Sebe, N. (2014). Clustered Multi- task Linear Discriminant Analysis for View Invariant Color-Depth Action Recognition. In IAPR International Conference on Pattern Recognition.

Yan, Y., Subramanian, R., Ricci, E., Lanz, O., & Sebe, N. (2014). Evaluating Multi-task Learning for Multi-view Head-pose Classification in Interactive Environments. In IAPR International Conference on Pattern Recognition.

Costante, G., Galieni, V., Yan, Y., Fravolini, M., Ricci, E., & Valigi, P. (2014). Exploting Transfer Learning for Personalized View Invariant Gesture Recognition. In IEEE International Conference on Acoustics, Speech and Signal Processing.

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Yan, Y., Ricci, E., Rostamzadeh, N., & Sebe, N. (2014). It’s All About Habits: Exploiting Multi-task Clustering for Activities of Daily Living Analysis. In IEEE International Conference on Image Processing.

Lu, G., Yan, Y., Sebe, N., & Kambhamettu, C. (2014). Knowing Where I Am: Exploiting Multi-task Learning for Multi-view Indoor Image-based Localization. In British Machine Vision Conference.

Liu, G., Yan, Y., Song, J., & Sebe, N. (2014). Minimizing Dataset Bias: Discriminative Multi-task Sparse Coding Through Shared Subspace Learning for Image Classification. In IEEE International Conference on Image Processing.

Yan, Y., Ricci, E., Liu, G., & Sebe, N. (2014). Recognizing Daily Activities from First-person Videos with Multi-task Clustering. In Asian Conference on Computer Vision. Springer.

Liu, G., Yan, Y., Gao, C., Hauptmann, A., & Sebe, N. (2014). The Mystery of Faces: Investigating Face Contribution for Multimedia Event Detection. In ACM International Conference on Multimedia Retrieval.

Zhang, B., Yan, Y., Conci, N., & Sebe, N. (2014). You Talkin’ to Me? Recognizing Complex Human Interactions in Unconstrained Videos. In ACM International Conference on Multimedia.

Yan, Y. (2013). CMU Informedia @TRECVID 2013: Surveillance Event Detection (SED). In TRECVID Video Retrieval Evaluation Workshop, NIST.

Yan, Y., Xu, Z., Liu, G., Ma, Z., & Sebe, N. (2013). GLocal Structural Feature Selection with Sparsity for Multimedia Data Understanding. In ACM International Conference on Multimedia.

Yan, Y. (2013). Informedia E-Lamp @ TRECVID 2013 Multimedia Event Detection and Recounting (MED and MER). In TRECVID Video Retrieval Evaluation Workshop, NIST.

Yan, Y., Liu, G., Ricci, E., & Sebe, N. (2013). Multi-task Linear Discriminant Analysis for Multi-view Action Recignition. In IEEE International Conference on Image Processing.

Yan, Y., Ricci, E., Subramanian, R., Lanz, O., & Sebe, N. (2013). No Matter Where You Are: Flexible Graph-guided Multi-task Learning for Multi-view Head Pose Classification under Target Motion. In IEEE International Conference on Computer Vision.

Subramanian, R., Yan, Y., Staiano, J., Lanz, O., & Sebe, N. (2013). On the relationship between head pose, social attention and personality prediction for unstructured and dynamic group interactions. In ACM International Conference on Multimodal Interaction.

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Yan, Y., Subramanian, R., Lanz, O., & Sebe, N. (2012). Active Transfer Learning for Multi-View Head-Pose Classification. In IAPR International Conference on Pattern Recognition.

C. Scholarly / Creative Grants and Contracts:

1. Funded External Grants and Contracts:

Yan, Yan (Co-Principal), Percent Contribution: 100%, Zong, Ziliang (Principal), Percent Contribution: 100%. CNS Core: Small: Interpretable Multi-Modal Neural Network Pruning for Edge Devices, National Science Foundation, Federal, $500,000.00. (Funded: October 1, 2019 - September 30, 2022). Grant.

Yan, Yan (Principal), Percent Contribution: 100%, Wang, Yanzhi (Principal), Percent Contribution: 100%, Wei, Sheng (Principal), Percent Contribution: 100%. CNS Core: Small: Collaborative: Content-based Viewport Prediction Framework for Live Virtual Reality Streaming, National Science Foundation, $496,085.00. (Funded: August 15, 2019 - July 31, 2022). Grant.

Yan, Yan (Principal), Percent Contribution: 100%. BOCA——Body-Worn Camera Analytics in Public Safety, National Institute of Standards and Technology, Federal, $132,374.00. (Funded: July 2017 - June 2020). Grant.

Yan, Yan (Principal), Percent Contribution: 100%. Multimodal Scene Understanding, Cisco, Private / Foundation / Corporate, $70,356.00. (Funded: November 2018 - November 2019). Grant.

Yan, Yan (Principal), Percent Contribution: 100%. NVIDIA GPU Grant Program, NVIDIA, Private / Foundation / Corporate, $1,200.00. (Funded: January 2018 - December 2018). Grant.

2. Submitted, but not Funded, External Grants and Contracts:

Yan, Yan (Principal), Percent Contribution: 100%. Integrative labeling, imaging and computing tools for automated tracing of densely labeled neurons from light microscopy images, National Institutes of Health, Federal, $773,494.99. (Submitted: November 12, 2018). Grant.

Yan, Yan (Principal), Percent Contribution: 100%. CRII: RI: Connecting First- and Third-person Video Analysis, National Science Foundation, Federal, $175,000.00. (Submitted: August 8, 2018). Grant.

Fulton, Lawrence V, Yan, Yan. Deep Learning Classification and Genotype- Phenotype Matching of Breast Cancer using Imagery, Clinical Data, and Social Determinants, Department of Defense, Federal, $600,000.00. (Submitted: May 16, 2018). Grant.

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3. Funded Internal Grants and Contracts:

Yan, Yan (Co-Principal), Percent Contribution: 100%, Chow, Tzee-Kiu (Principal), Percent Contribution: 100%. Get the Big Pictures: Flood Analytics Using Big Multimedia Data, Texas State University MIRG, Texas State University, $29,916.00. (Funded: September 1, 2019 - August 30, 2020). Grant.

4. Submitted, but not Funded, Internal Grants and Contracts:

Yan, Yan, Fulton, Lawrence V. Deep Learning for Breast Cancer using Imagery, Clinical Data, and Social Determinants, Texas State University, $14,000.00. (Submitted: October 2018). Grant.

Fulton, Lawrence V, Yan, Yan, Percent Contribution: 50%. Modeling Alzheimer's Disease Progression via CNN-RNN Deep Learning Strategy, Texas State, Texas State University, $30,000.00. (Submitted: March 24, 2018). Grant.

D. Scholarly / Creative Fellowships, Awards, Honors:

Award / Honor Recipient: ACM Multimedia 2018 Best Paper Award Candidates, Association for Computing Machinery (ACM). 2018

Award / Honor Recipient: CVPR 2017 Young Researcher Awards, Institute of Electrical and Electronics Engineers (IEEE). 2017

Award / Honor Recipient: ACM Multimedia 2015 Best Paper Award, Association for Computing Machinery (ACM). 2015

Award / Honor Recipient: ICPR 2014 IBM Best Student Paper Award, International Association of Pattern Recognition (IAPR). 2014

Award / Honor Recipient: ICPR 2014 Travel Award, International Association of Pattern Recognition (IAPR). 2014

Award / Honor Recipient: ACM Multimedia 2013 Travel Award, Association for Computing Machinery (ACM). 2013

Award / Honor Recipient: ICCV 2013 Travel Award, Institute of Electrical and Electronics Engineers (IEEE). 2013

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F. Media Recognition:

Magazine, International Association of Pattern Recognition Newsletter. (July 2015).

IV. SERVICE

A. Institutional

3. Department/School:

Member, CS Library Committee. (2017 - 2019).

B. Professional:

Member, IEEE Conference on Computer Vision and Pattern Recognition. (2017 - 2018).

Member, European Conference on Computer Vision. (2016 - 2018).

Reviewer / Referee, ACM Transactions on Intelligent Systems and Technology. (2016 - 2018).

Reviewer / Referee, ACM Transactions on Knowledge Discovery from Data. (2016 - 2018).

Reviewer / Referee, ACM Transactions on Multimedia Computing, Communications, and Applications. (2016 - 2018).

Reviewer / Referee, Computer Vision and Image Understanding, Elsevier. (2016 - 2018).

Reviewer / Referee, IEEE Transactions on Affective Computing. (2016 - 2018).

Reviewer / Referee, IEEE Transactions on Knowledge and Data Engineering. (2016 - 2018).

Reviewer / Referee, IEEE Transactions on Pattern Recognition and Machine Intelligence. (2016 - 2018).

Reviewer / Referee, Pattern Recognition Letter, Elsevier. (2016 - 2018).

Reviewer / Referee, Pattern Recognition, Elsevier. (2016 - 2018).

Member, IEEE International Conference on Computer Vision. (2015 - 2018).

Reviewer / Referee, IEEE Multimedia Magazine. (2015 - 2018).

Reviewer / Referee, IEEE Transactions on Circuits and Systems for Video Technology. (2015 - 2018).

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Reviewer / Referee, IEEE Transactions on Human-Machine Systems. (2015 - 2018).

Reviewer / Referee, IEEE Transactions on Image Processing. (2015 - 2018).

Reviewer / Referee, IEEE Transactions on Multimedia. (2015 - 2018).

Reviewer / Referee, IEEE Transactions on Neural Networks and Learning Systems. (2015 - 2018).

Reviewer / Referee, IEEE Transactions on Signal Processing. (2015 - 2018).

Reviewer / Referee, Machine Vision and Applications, Springer. (2015 - 2018).

Reviewer / Referee, Multimedia Tools and Applications, Springer. (2015 - 2018).

Reviewer / Referee, Neurocomputing, Elsevier. (2015 - 2018).

Reviewer / Referee, Signal Processing: Image Communication, Elsevier. (2015 - 2018).

Member, ACM Multimedia. (2013 - 2018).

Coordinator / Organizer, International Conference in Multimedia Modeling (MMM), 2017. (2017).

Coordinator / Organizer, ACM International Conference in Multimedia Retrieval (ICMR), 2016. (2016).

Member, IEEE International Symposium on Multimedia. (2016).

Member, ACM International Conference on Multimodal Interaction. (2015).

D. Organization Memberships:

Association for Computing Machinery (ACM). (2013 - 2018).

Institute of Electrical and Electronics Engineers (IEEE). (2013 - 2018).

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