FY 2018 Publications

Books and Chapters

Dale R. Thompson, C. Rainwater, J. Di, and S.C. Ricke, “Student cross-training opportunities for combining food, transportation, and critical infrastructure cybersecurity into an academic food systems education program,” in Food and Feed Safety Systems and Analysis, Steven C. Ricke, Griffiths Atungulu, Chase Rainwater, and Si Hong Park, Eds.  UK: Elsevier, 2018, Chapter 20, pp. 375-391.

Refereed Publications

S. Ma, X. Shi, and David Andrews, “Parallelizing maximum likelihood classification (MLC) for supervised image classification by pipelined thread approach through high-level synthesis (HLS) on FPGA cluster.” Big Earth Data, 2:2, 144-158, 2018. DOI: 10.1080/20964471.2018.1470249

T. Hansmeier, M. Platzner, and David Andrews, "An FPGA/HMC-Based Accelerator for Resolution Proof Checking", Proceedings of the 14th International Symposium on Applied Reconfigurable Computing. Architectures, Tools, and Applications (ARC2018)”, Springer International Publishing, pp 153-165, Santorini Greece, 2018

J. Mbongue, F. Hategekimana, D. Tchuinkou Kwadjo, David Andrews, and C. Bobda, "FPGAVirt: A Novel Virtualization Framework for FPGAs in the Cloud," 2018 IEEE 11th International Conference on Cloud Computing (CLOUD), San Francisco, CA, 2018, pp. 862-865.

M. J. H. Pantho, J. M. Mbongue, C. Bobda, David Andrews, and M. Asadinia, "Enabling Transparent Acceleration of OpenCV Library Kernels on a Hybrid Memory Cube Computer," 2018 IEEE 26th Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM), Boulder, CO, 2018, pp. 217-217.

T. Meade, K. Shamsi, T. Le, Jia Di, S. Zhang, and Y. Jin, “The Old Frontier of Reverse Engineering: Netlist Partitioning,” Journal of Hardware and Systems Security, Vol. 2, NO. 3, pp. 201-213, September 2018

A. Suchanek, Z. Chen, and Jia Di, “Voltage Stacking for Simplifying Power Management in Asynchronous Circuits,” International Journal of VLSI Design & Communication Systems, Vol. 9, NO. 4, pp. 17-30, August 2018

Y. Bai, R. Demara, Jia Di, and M. Lin, “Clockless Spintronic Logic: A Robust and Ultra-Low Power Computing Paradigm,” IEEE Transactions on Computers, Vol. 67, Issue 5, pp. 631-645, May 2018

K. Haulmark, W. Khalil, W. Bouillon, and Jia Di, “Comprehensive Comparison of NULL Convention Logic Threshold Gate Implementations,” IEEE New Generation Circuits and Systems Conference (NGCAS), November 2018.

T. Le, L. Weaver, Jia Di, Y. Jin, and S. Zhang, “Hardware Trojan Detection and Functionality Determination for Soft IPs,” 3rd International Verification and Security Workshop (IVSW), 2018.

S. Nelson, C. Sherrill, Jia Di, X. Chen, J. Wang, G. Sun, and A. Jia, “An Asynchronous Convolutional Neural Network Implementation for IoT Applications,” Fresh Idea Paper on 24th IEEE International Symposium on Asynchronous Circuits and Systems (ASYNC), 2018.

M. Howard, N. Mize, and Jia Di, “Investigation and Comparison of Bus Alternatives for Asynchronous Circuits,” IEEE SoutheastCon 2018.

A. Suchanek, Z. Chen, and Jia Di, “Asynchronous Circuit Stacking for Simplified Power Management,” IEEE SoutheastCon 2018.

L. Streeter, and John Gauch, “Teaching Introductory Programming Concepts Through a Gesture-Based Interface”, Int. Conf. on Human Computer Interaction (HCI International), Los Vegas, NV, July 2018.

N. Azawi, and John Gauch, “Automatic Method for Classification of Informative and Noninformative Images in Colonoscopy Video”, Int. Conf. on Medical Image Processing and Analysis (ICMIPA), Vancouver, Canada, August 2018.

M. Shukla, Susan Gauch, and L. Evalyn, “Theatrical Genre Prediction Using Social Network Metrics,” 10th International Conference on Knowledge Discovery and Information Retrieval (KDIR 2018), Seville, Spain, September 18-20, 2018, 229-236.

L.I. Evalyn, Susan Gauch, and M. Shukla, “Analyzing Social Networks of XML Plays: Exploring Shakespeare’s Genres,” Digital Humanities 2018 (DH2018), Mexico City, Mexico, June 26-29, 2018, 368-370.

C. Lai, X. Shi, and Miaoqing Huang, "Efficient utilization of multi-core processors and many-core co-processors on supercomputer Beacon for scalable geocomputation and geo-simulation over big earth data," Big Earth Data, vol. 2, no. 1, pp. 65-85, February 2018, https://doi.org/10.1080/20964471.2018.1434265.

C. Lai, Y. Chen, X. Shi, Miaoqing Huang, and G. Chen, "Performance Improvement on Heterogeneous Platforms: A Machine Learning Based Approach,"2 Proceedings of5th Annual Conference on Computational Science & Computational Intelligence (CSCI'18), pp. 1-9, Las Vegas, USA, December 13-15, 2018.

C. Lai, X. Shi, and Miaoqing Huang, "Performance Optimization on Intel Xeon Phi Through Load Balancing," Proceedings of24th International Conference on Parallel and Distributed Processing Techniques and Applications (PDPTA'18), pp. 1-7, Las Vegas, USA, July 30 - August 2, 2018.

A. Shariffar, T. Bowman, C. Lai, Miaoqing Huang, M. El-Shenawee, and K. Bailey, "Modelling the Interaction of THz Waves with Breast Cancer Tissues," in Proceedings of2018 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, pp. 1843-1844, Boston, Massachusetts, USA, July 8-13, 2018.

A. Jevtic, F. Zhang, Qinghua Li, and M. Ilic, "Physics- and Learning-based Detection and Localization of False Data Injections in Automatic Generation Control," in the IFAC Symposium on Control of Power and Energy Systems (CPES), 2018.

A. Li, D. Darling, and Qinghua Li, "PhotoSafer: Content-Based and Context-Aware Private Photo Protection for Smartphones," in the IEEE Symposium on Privacy-Aware Computing (PAC), 2018.

W. Bao, and Qinghua Li, "Efficient Privacy-Preserving Outsourcing of Large-Scale Geometric Programming," in the IEEE Symposium on Privacy-Aware Computing (PAC), 2018.

A. Li, W. Du, and Qinghua Li, "PoliteCamera: Respecting Strangers' Privacy in Mobile Photographing," in the International Conference on Security and Privacy in Communication Networks (SecureComm), 2018.

W. Du, A. Li, and Qinghua Li, "Privacy-Preserving Multiparty Learning for Logistic Regression," in the International Conference on Security and Privacy in Communication Networks (SecureComm), 2018

A. Li, W. Du, and Qinghua Li, "Privacy-Preserving Outsourcing of Large-Scale Nonlinear Programming to the Cloud," International Conference on Security and Privacy in Communication Networks (SecureComm), 2018.

F. Zhang, and Qinghua Li, "Security Vulnerability and Patch Management in Electric Utilities: A Data-Driven Analysis," in The 1st Radical and Experiential Security Workshop (RESEC), 2018.

C. N. Duong, Khoa Luu, K. G. Quach and T. D. Bui, "Deep Appearance Models: A Deep Boltzmann Machine Approach for Face Modeling," Intl Journal of Computer Vision (IJCV), Pages 1 – 19, August 2018 (IF: 11.541)

C. Zhu, Y. Ran, Khoa Luu and M. Savvides, “Seeing Small Faces from Robust Anchor’s Perspective” IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Utah, 2018.

C. Zhu, Y. Zheng, Khoa Luu and M. Savvides, “Enhancing Interior and Exterior Deep Facial Features for Face Detection in the Wild,” IEEE International Conference on Automatic Face and Gesture Recognition (FG), 2018.

Alex Nelson, S.M. Waller, R. Robucci, C. Patel, and N. Banerjee, “Evaluating Touchless Capacitive Gesture Recognition as an Assistive Device for Upper Extremity Mobility Impairment.” Journal of Rehabilitation and Assistive Technologies Engineering, Jan. 2018.

H. Liu, J.P. Parkerson, and Alex Nelson, “Connected Capacitive Sensor Array for Upper-Extremity Motor Rehabilitation,” IEEE/ACM Conference on Connected Health: Application, Systems and Engineering Technologies (CHASE 2018), Poster/Demo Session.

Brajendra Panda, and V.F. Tello, “A Thin Client Model to Querying Encrypted Databases in Cloud”, In Proceedings of the 2018 (accepted as WSDS WORKSHOP paper) IEEE Conference on Dependable and Security Computing (DSC 2018), Kaohsiung, Taiwan, December 10-13, 2018.

H. Liu, James P. Parkerson, and A. Nelson, “Connected Capacitive Sensor Array for Upper Connected Capacitive Sensor Array for Upper-Extremity Motor Rehabilitation,” IEEE/ACM CHASE, 2018.

Matthew J. Patitz, T.A. Rogers, S.M. Summers, R. Schweller, and A. Winslow,  “Resiliency to multiple nucleation in temperature-1 self-assembly”, Natural Computing, 2018, 17(1), pp. 31-46. DOI: 10.1007/s11047-017-9662-x.

J. Hendricks, M. Olsen, Matthew J. Patitz, T.A. Rogers, and H. Thomas, “Hierarchical self-assembly of fractals with signal-passing tiles”, Natural Computing, 2018, 17(1), pp. 47-65. DOI: 10.1007/s11047-017-9663-9

E. Demaine, J. Hendricks, M. Olsen, Matthew J. Patitz, T.A. Rogers, N. Schabanel, S. Seki, and H. Thomas, “Know When to Fold 'Em: Self-Assembly of Shapes by Folding in Oritatami”, Proceedings of the 24th International Conference on DNA Computing and Molecular Programming (DNA 24), Oct 8-12, 2018, Shandong Normal University, Jinan, China, pp. 19-36.

J. Hendricks, J. Opseth, Matthew J. Patitz, and S. Summers, “Hierarchical Growth is Necessary and (Sometimes) Sufficient to Self-Assemble Discrete Self-Similar Fractals”, Proceedings of the 24th International Conference on DNA Computing and Molecular Programming (DNA 24), (Oct 8-12, 2018, Shandong Normal University, Jinan, China), pp. 87-104.

J. Durand-Lose, J. Hendricks, Matthew J. Patitz, I. Perkins, and M. Sharp, “Self-Assembly of 3-D Structures Using 2-D Folding Tiles”, Proceedings of the 24th International Conference on DNA Computing and Molecular Programming (DNA 24), (Oct 8-12, 2018, Shandong Normal University, Jinan, China), pp. 105-121.

C. Chalk, J. Hendricks, Matthew J. Patitz, and M. Sharp, “Thermodynamically Favorable Computation via Tile Self-assembly”, Proceedings of the 17th International Conference on Unconventional Computation and Natural Computation (UCNC 2018), (June 25-29, 2018, Fontainebleau, France), pp. 16-31.

Yarui Peng, D. Petranovic, K. Samadi, P. Kamal, Y. Du, and S.K. Lim, "Interdie Coupling Extraction and Physical Design Optimization for Face-to-Face 3-D ICs", IEEE Transactions on Nanotechnology, vol. 17, no. 4, pp. 634–644, Jul 2018.

I.A. Razi, Q. Le, H.A. Mantooth, and Yarui Peng, "Constraint-Aware Algorithms for Heterogeneous Power Module Layout Synthesis and Optimization in PowerSynth", Proceedings of IEEE Workshop on Wide Bandgap Power Devices and Applications, pp. 323-330, Oct 2018.

S. Mukherjee, T. Evans, B. Narayanasamy, Q. Le, A.I. Emon, A. Deshpande, F. Luo, Yarui Peng, S. Pytel, T. Vrotsos, and A. Manooth, "Toward Partial Discharge Reduction by Corner Correction in Power Module Layouts", Proc. IEEE Workshop on Control and Modeling for Power Electronics, pp. 1-8, Jun 2018.

Dale R. Thompson, B. Hill, D. Shannon, H. Lekkala, and W. Lo, “Preliminary results of TACT integration and confidence levels on seven big ideas of CS,” poster in Proc. ACM Technical Symposium on Computing Science Education (SIGCSE), Baltimore, MD, Feb. 24, 2018.

Dale R. Thompson, “An interdisciplinary effort to address modern security issues: Arkansas security research and education technology (ASCENT) institute,” poster in 2018 SEC Academic Conference, theme was Cyber Security: A Shared Responsibility, Auburn, AL, USA, Apr. 8-10, 2018.

B. Stafford and Dale R. Thompson, “Dynamically visualizing network traffic in 3D,” poster in 2018 SEC Academic Conference, theme was Cyber Security: A Shared Responsibility, Auburn, AL, USA, Apr. 8-10, 2018.

S. Yuan, Xintao Wu and Y. Xiang, "Incorporating Pre-training in Long Short-term Memory Networks for Tweet Classification". Social Network Analysis and Mining, 8(1):52:1-52, 2018.

Y. Li, Shuhan Yuan, Xintao Wu and A. Lu. "On Spectral Analysis of Directed Signed Graphs". International Journal of Data Science and Analytics, 6(2): 147-162, 2018. 

S. Yuan, Xintao Wu and Y. Xiang. "Task-specific Word Identification from Short Texts Using a Convolutional Neural Network". Intelligent Data Analysis, 22(3):533-550, 2018.

D. Xu, S. Yuan, Lu Zhang and Xintao Wu. "FairGAN: Fairness-aware Generative Adversarial Networks". Proceedings of the of the IEEE Big Data, Seattle, WA, USA, Dec 10- 13, 2018. (acceptance ratio 98+103/518)

Y. Wu, Lu Zhang and Xintao Wu. "On Discrimination Discovery and Removal in Ranked Data using Causal Graph". Proceedings of the of the 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), London, United Kingdom, August 19-23, 2018. (acceptance ratio 107+74/983)

Lu Zhang, Y. Wu and Xintao Wu. "Achieving Non-Discrimination in Prediction".  Proceedings of the 27th International Joint Conference on Artificial Intelligence (IJCAI), Stockholm, Sweden, July 13-19, 2018. (acceptance ratio 710/3470)

D. Xu, S. Yuan, Xintao Wu and H. Phan. "DPNE: Differentially Private Network Embedding". Proceedings of the Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), Melbourne, Australia, June 3-6, 2018. (regular paper, 57+107/592)

D. Xu, S. Yuan, Lu Zhang and Xintao Wu. "FairGAN: Fairness-aware Generative Adversarial Networks". ACSIC Symposium on Frontiers in Computing, Dallas, Texas, USA, June 1-2, 2018.

S. Yuan, Xintao Wu and Y. Xiang, "Incorporating Pre-training in Long Short-term Memory Networks for Tweet Classification". Social Network Analysis and Mining, 8(1):52:1-52, 2018.

Y. Li, S. Yuan, Xintao Wu and A. Lu. "On Spectral Analysis of Directed Signed Graphs". International Journal of Data Science and Analytics, 6(2): 147-162, 2018.

S. Yuan, Xintao Wu and Y. Xiang. "Task-specific Word Identification from Short Texts Using a Convolutional Neural Network". Intelligent Data Analysis, 22(3):533-550, 2018.

D. Xu, S. Yuan, Lu Zhang and Xintao Wu. "FairGAN: Fairness-aware Generative Adversarial Networks". Proceedings of the of the IEEE Big Data, Seattle, WA, USA, Dec 10- 13, 2018. (acceptance ratio 98+103/518)

Lu Zhang, Y. Wu, Xintao Wu. Causal modeling-based approach for direct and indirect discrimination: Criteria, bound, and algorithm. IEEE Transactions on Knowledge and Data Engineering (Early Access), 2018.

 

Unrefereed Publications and Proceedings