Publications (Post-2016)

2023

  1. George C. Banks, Roxanne Ross, Allison A. Toth, Scott Tonidandel, Atefeh Mahdavi Goloujeh, Wenwen Dou and Ryan Wesslen. 2023. The triangulation of ethical leader signals using qualitative, experimental, and data science methods. The Leadership Quarterly , 34 , 3 . 2023, 101658. DOI: https://doi.org/10.1016/j.leaqua.2022.101658.
  2. Douglas Markant, Milad Rogha, Alireza Karduni, Ryan Wesslen and Wenwen Dou. 2023. When do data visualizations persuade? The impact of prior attitudes on learning about correlations from scatterplot visualizations. Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems. 2023. 1–16. https://doi.org/10.1145/3544548.3581330.
  3. Ozge Ozduzen, Billur Aslan Ozgul, Bogdan Ianosev, Alireza Karduni, Nelli Ferenczi, Wenwen Dou, Matthew Adams, Fr&aogon and Monika tczak . 2023. La médecine continue de discriminer les peuples noirs. .
  4. Seethalakshmi Gopalakrishnan, Victor Zitian Chen, Wenwen Dou, Gus Hahn-Powell, Sreekar Nedunuri and Wlodek Zadrozny. 2023. Text to causal knowledge graph: A framework to synthesize knowledge from unstructured business texts into causal graphs. Information , 14 , 7 . 2023, 367. DOI: https://doi.org/10.3390/info14070367.
  5. Alireza Karduni, Ryan Wesslen, Douglas Markant and Wenwen Dou. 2023. Images, Emotions, and Credibility: Effect of Emotional Facial Expressions on Perceptions of News Content Bias and Source Credibility in Social Media. Proceedings of the International AAAI Conference on Web and Social Media. 2023. 470–481. https://doi.org/10.1609/icwsm.v17i1.22161.
  6. Mcquaigue Matthew, Jay Strahler, Kalpathi Subramanian, Erik Saule and Jamie Payton. 2023. Location Based Assignments in Early CS Courses Using BRIDGES Engages Students. Journal of computing sciences in colleges , 38 , 5 . 2023.   DOI: https://dl.acm.org/doi/10.5555/3581625.3581635
  7. David Burlinson, Matthew Mcquaigue, Alec Goncharow, Kalpathi Subramanian, Erik Saule, Jamie Payton and Paula Goolkasian. 2023. BRIDGES: Real world data, assignments and visualizations to engage and motivate CS majors. Education and Information Technologies . 2023, 1–27. DOI: https://doi.org/10.1007/s10639-023-11958-4.
  8. Matthew Mcquaigue, Erik Saule, Kalpathi Subramanian and Jamie Payton. 2023. Data-Driven Discovery of Anchor Points for PDC Content. Proceedings of the SC’23 Workshops of The International Conference on High Performance Computing, Network, Storage, and Analysis. 2023. 335–342. https://doi.org/10.1145/3624062.3624099.
  9. David Burlinson, Matthew Mcquaigue, Alec Goncharow, Kalpathi Subramanian, Erik Saule and Jamie Payton. 2023. BRIDGES: Real World Data, Assignments and Visualizations To Engage and Motivate CS Majors. Education and information technologies . 2023, . DOI: https://doi.org/10.1007/s10639-023-11958-4.
  10. Tinghao Feng, Yueqi Hu, Jing Yang, Tom Polk, Ye Zhao, Shixia Liu and Zhaocong Yang. 2023. TimePool: Visually Answer “Which and When” Questions On Univariate Time Series. 2023 IEEE Visualization and Visual Analytics (VIS). 2023. 201–205. https://doi.org/10.1109/vis54172.2023.00049.
  11. Thomas Carr, Aidong Lu and Depeng Xu. 2023. Linkage Attack on Skeleton-based Motion Visualization. , New York, NY, USA, Association for Computing Machinery, 3758–3762. https://doi.org/10.1145/3583780.3615263.
  12. Sultan Alasmari, Weichao Wang, Aidong Lu and Yu Wang. 2023. Protection of Network Security Selector Secrecy in Outsourced Network Testing. 32nd International Conference on Computer Communications and Networks, ICCCN 2023, Honolulu, HI, USA, July 24-27, 2023. 2023. IEEE, 1–10. https://doi.org/10.1109/ICCCN58024.2023.10230113.
  13. Wenhan Wu, Yilei Hua, Ce Zheng, Shiqian Wu, Chen Chen and Aidong Lu. 2023. Skeletonmae: Spatial-Temporal Masked Autoencoders for Self-Supervised Skeleton Action Recognition. IEEE International Conference on Multimedia and Expo Workshops, ICMEW Workshops 2023, Brisbane, Australia, July 10-14, 2023. 2023. IEEE, 224–229. https://doi.org/10.1109/ICMEW59549.2023.00045.
  14. Yilei Hua, Wenhan Wu, Ce Zheng, Aidong Lu, Mengyuan Liu, Chen Chen and Shiqian Wu. 2023. Part Aware Contrastive Learning for Self-Supervised Action Recognition. Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, IJCAI 2023, 19th-25th August 2023, Macao, SAR, China. 2023. ijcai.org, 855–863. https://doi.org/10.24963/IJCAI.2023/95.

2022

  1. Minh-Hao Van, Wei Du, Xintao Wu and Aidong Lu. 2022. Poisoning attacks on fair machine learning. International Conference on Database Systems for Advanced Applications. 2022. 370–386. https://doi.org/10.1007/978-3-031-00123-9_30.
  2. Ryan Wesslen, Alireza Karduni, Douglas Markant and Wenwen Dou. 2022. Effect of uncertainty visualizations on myopic loss aversion and the equity premium puzzle in retirement investment decisions. IEEE Transactions on Visualization and Computer Graphics , 28 , 1 . Jan. 2022, 454–464. DOI: https://doi.org/10.1109/tvcg.2021.3114692.
  3. B. Aslan Ozgul, O. Ozduzen, N. Ferenczi, Alireza Karduni, B. Ianosev, Wenwen Dou, Matthew Adams and M. Fratczak. 2022. ” Medicine is still against Black people”: Mapping and visualising intersections of social inequalities, community mistrust, and vaccine hesitancy in online and physical spaces in the UK and US. 2022.
  4. Nasheen Nur, Aileen Benedict, Omar Eltayeby, W. Dou, M. Dorodchi, X. Niu, M. L. Maher and C. N. Chambers. 2022. Explainable Ai for Data Driven Learning Analytics: A Holistic Approach to Engage Advisors in Knowledge Discovery. EDULEARN22 Proceedings. 2022. 10300–10306. https://doi.org/10.21125/edulearn.2022.2497.
  5. Douglas B. Markant, Milad Rogha, Alireza Karduni, Ryan Wesslen and Wenwen Dou. 2022. Can data visualizations change minds? identifying mechanisms of elaborative thinking and persuasion. 2022 IEEE Workshop on Visualization for Social Good (VIS4Good). 2022. 1–5. https://doi.org/10.1109/vis4good57762.2022.00005.
  6. Kalpathi Subramanian, Erik Saule, Jamie Payton and Matthew Mcquaigue. 2022. Improving the Structure and Content of Early CS Courses with Well Aligned, Engaging Materials. Proceedings of the 53rd ACM Technical Symposium on Computer Science Education V. 2. 2022. 1202–1202. https://doi.org/10.1145/3478432.3499153.
  7. Kathryn Perry, Cedric Sirianni, Owen Bechtel, Kalpathi Subramanian and Erik Saule. 2022. High School BRIDGES: Visualizations of Data, Data Structures, and More. Proceedings of the 53rd ACM Technical Symposium on Computer Science Education V. 2. 2022. 1178–1178. https://doi.org/10.1145/3478432.3499261.
  8. Kalpathi Subramanian and Erik Saule. 2022. Real-World Problems, Data, and Visualizations Using BRIDGES (PreConference Workshop). Journal of Computer Science in Colleges (Central Plains) . 2022, .
  9. Kalpathi Subramanian and Erik Saule. 2022. Motivating CS Majors Using Real-World Data, Games and Visualizations Using BRIDGES (Workshop). Journal of Computer Science in Colleges (North Eastern Conference). 2022. .
  10. Kalpathi Subramanian and Erik Saule. 2022. Real World Data, Visualizations and Games Using BRIDGES (Poster). 2022 IUSE Summit: Propelling Change: Moving from Strategy Toward Effective & Equitable Undergraduate STEM Education . 2022, .
  11. Matthew Mcquaigue, Jay Strahler, Kalpathi Subramanian, Erik Saule and Jamie Payton. 2022. Location Based Assignments in Early CS Courses Using BRIDGES Engages Students. Journal of Computing Sciences in Colleges , 38 , 5 . 2022, 107–116.
  12. Erik Saule, Kalpathi Subramanian and Jamie Payton. 2022. Building Engaging Assignments for YOUR Class. Proceedings of the 54th ACM Technical Symposium on Computer Science Education V. 2. 2022. 1176–1176. https://doi.org/10.1145/3545947.3569632.
  13. Tinghao Feng, Jing Yang, Martha-Cary Eppes, Zhaocong Yang and Faye Moser. 2022. EVis: Visually Analyzing Environmentally Driven Events. IEEE Transactions on Visualization and Computer Graphics , 28 , 1 . 2022, 912–921. DOI: https://doi.org/10.1109/tvcg.2021.3114867.
  14. Minh-Hao Van, Wei Du, Xintao Wu, Feng Chen and Aidong Lu. 2022. Defending Evasion Attacks via Adversarially Adaptive Training. IEEE International Conference on Big Data, Big Data 2022, Osaka, Japan, December 17-20, 2022. 2022. IEEE, 1515–1524. https://doi.org/10.1109/BIGDATA55660.2022.10020474.
  15. Akshay Ayyanchira, Elias Mahfoud, Weichao Wang and Aidong Lu. 2022. Toward cross-platform immersive visualization for indoor navigation and collaboration with augmented reality. J. Vis. , 25 , 6 . 2022, 1249–1266. DOI: https://doi.org/10.1007/s12650-022-00852-9.
  16. Ce Zheng, Matias Mendieta, Pu Wang, Aidong Lu and Chen Chen. 2022. A Lightweight Graph Transformer Network for Human Mesh Reconstruction from 2D Human Pose. MM ’22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10 – 14, 2022. 2022. ACM, 5496–5507. https://doi.org/10.1145/3503161.3547844.
  17. Shahin Doroudian, Zekun Wu, Weichao Wang, Alexia Galati and Aidong Lu. 2022. A Study of Real-time Information on User Behaviors during Search and Rescue (SAR) Training of Firefighters. 2022 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, VR Workshops, Christchurch, New Zealand, March 12-16, 2022. 2022. IEEE, 387–394. https://doi.org/10.1109/vrw55335.2022.00085.
     

2021

  1. Sebastian Gehrmann, Tosin Adewumi, Karmanya Aggarwal, Pawan Sasanka Ammanamanchi, Anuoluwapo Aremu, Antoine Bosselut, Khyathi Raghavi Chandu, Miruna-Adriana Clinciu, Dipanjan Das, Kaustubh Dhole, Wanyu Du, Esin Durmus, Ondř, ej Du&scaron, ek, Chris Chinenye Emezue, Varun Gangal, Cristina Garbacea, Tatsunori Hashimoto, Yufang Hou, Yacine Jernite, Harsh Jhamtani, Yangfeng Ji, Shailza Jolly, Mihir Kale, Dhruv Kumar, Faisal Ladhak, Aman Madaan, Mounica Maddela, Khyati Mahajan, Saad Mahamood, Bodhisattwa Prasad Majumder, Pedro Henrique Martins, Angelina McMillan-Major, Simon Mille, Emiel van Miltenburg, Moin Nadeem, Shashi Narayan, Vitaly Nikolaev, Andre Niyongabo Rubungo, Salomey Osei, Ankur Parikh, Laura Perez-Beltrachini, Niranjan Ramesh Rao, Vikas Raunak, Juan Diego Rodriguez, Sashank Santhanam, Joã, o Sedoc, Thibault Sellam, Samira Shaikh, Anastasia Shimorina, Marco Antonio Sobrevilla Cabezudo, Hendrik Strobelt, Nishant Subramani, Wei Xu, Diyi Yang, Akhila Yerukola and Jiawei Zhou. 2021. The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics. Proceedings of the 1st Workshop on Natural Language Generation, Evaluation, and Metrics (GEM 2021). Jan. 2021. Association for Computational Linguistics, 96-120. https://doi.org/10.18653/v1/2021.gem-1.10.
     
  2. M. Aboufoul, R. Wesslen, Isaac Cho, Wenwen Dou and Samira Shaikh. 2021. Using Hidden Markov Models to Determine Cognitive States of Visual Analytic Users. MLUI 2021: Machine Learning from User Interactions for Visualization and Analytics, An IEEE VIS 2021 workshop. Oct. 2021. IEEE, .
     
  3. Chao Ma, Ye Zhao, Andrew Curtis, Farah Kamw, Shamal AL-Dohuki, Jing Yang, Suphanut Jamonnak and Ismael Ali. 2021. CLEVis: A Semantic Driven Visual Analytics System for Community Level Events. IEEE Computer Graphics and Applications , 41 , 2 . Mar. 2021, 49–62. DOI: https://doi.org/10.1109/mcg.2020.2973939.
     
  4. Alireza Karduni, Douglas Markant, Ryan Wesslen and Wenwen Dou. 2021. A Bayesian cognition approach for belief updating of correlation judgement through uncertainty visualizations. IEEE Transactions on Visualization and Computer Graphics , 27 , 2 . Feb. 2021, 978–988. DOI: https://doi.org/10.1109/tvcg.2020.3029412.
     
  5. Weikai Yang, Xiting Wang, Jie Lu, Wenwen Dou and Shixia Liu. 2021. Interactive Steering of Hierarchical Clustering. IEEE Transactions on Visualization and Computer Graphics , 27 , 10 . Oct. 2021, 3953-3967. DOI: https://doi.org/10.1109/tvcg.2020.2995100.
     
  6. Shamal AL-Dohuki, Ye Zhao, Farah Kamw, Jing Yang, Xinyue Ye and Wei Chen. 2021. QuteVis: Visually Studying Transportation Patterns Using Multisketch Query of Joint Traffic Situations. IEEE Computer Graphics and Applications , 41 , 2 . Mar. 2021, 35–48. DOI: https://doi.org/10.1109/mcg.2019.2911230.
     
  7. Ce Zheng, Matias Mendieta, Pu Wang, Aidong Lu and Chen Chen. 2021. A Lightweight Graph Transformer Network for Human Mesh Reconstruction from 2D Human Pose. arXiv . Nov. 2021, .
     
  8. Abdullah-Al-Raihan Nayeem, Mohammed Elshambakey, Todd Dobbs, Huikyo Lee, Daniel Crichton, Yimin Zhu, Chanachok Chokwitthaya, William J. Tolone and Isaac Cho. 2021. A Visual Analytics Framework for Distributed Data Analysis Systems. 2021 IEEE International Conference on Big Data (Big Data). Dec. 2021. IEEE, . https://doi.org/10.1109/bigdata52589.2021.9671768.
     
  9. Dongyun Han, Gorakh Parsad, Hwiyeon Kim, Jaekyom Shim, Oh-Sang Kwon, Kyung A. Son, Jooyoung Lee, Isaac Cho and Sungahn Ko. 2021. HisVA: a Visual Analytics System for Learning History. IEEE Transactions on Visualization and Computer Graphics . 2021, 1–1. DOI: https://doi.org/10.1109/tvcg.2021.3086414.
     
  10. Erik Saule, Kalpathi Subramanian and Jamie Payton. 2021. We Need Community Effort to Achieve PDC Adoption!. 2021 IEEE 28th International Conference on High Performance Computing, Data and Analytics Workshop (HiPCW). Dec. 2021. IEEE, . https://doi.org/10.1109/hipcw54834.2021.00013.
     
  11. Alec Goncharow, Matthew Mcquaigue, Erik Saule, Kalpathi Subramanian, Paula Goolkasian and Jamie Payton. 2021. CS-Materials: A system for classifying and analyzing pedagogical materials to improve adoption of parallel and distributed computing topics in early CS courses. Journal of Parallel and Distributed Computing , 157 . Nov. 2021, 316–330. DOI: https://doi.org/10.1016/j.jpdc.2021.05.014.
     
  12. Erik Saule, Alec Goncharow and Jamie Payton. 2021. Using CS Materials, A System to Align your Courses with National Standards. Proceedings of the 52nd ACM Technical Symposium on Computer Science Education. Mar. 2021. ACM, . https://doi.org/10.1145/3408877.3432491.
     
  13. Kathryn Perry, Kalpathi Subramanian and Erik Saule. 2021. Some Bridges Span More than Water. Proceedings of the 52nd ACM Technical Symposium on Computer Science Education. Mar. 2021. ACM, . https://doi.org/10.1145/3408877.3439558.
     
  14. Alireza Karduni, Ryan Wesslen, Douglas Markant and Wenwen Dou. 2021. Images, Emotions, and Credibility: Effect of Emotional Facial Images on Perceptions of News Content Bias and Source Credibility in Social Media. , arXiv, . https://doi.org/10.48550/ARXIV.2102.13167.
     
  15. Sashank Santhanam, Vidhushini Srinivasan, Khyati Mahajan and Samira Shaikh. 2021. Towards Understanding How Emojis Express Solidarity in Crisis Events. In Lecture Notes in Networks and Systems , (Ed.), Springer International Publishing. 2021. 133–140. DOI: https://doi.org/10.1007/978-3-030-80624-8_17.
     
  16. Julia M. Hormes, Laurie Beth Feldman, Eliza Barach, Vidhushini Srinivasan and Samira Shaikh. 2021. Tweeting While Pregnant: Is Online Health Communication About Physical Symptoms and Emotions About the Tweeter?. In Social, Cultural, and Behavioral Modeling , (Ed.), Springer International Publishing. 2021. 289–298. DOI: https://doi.org/10.1007/978-3-030-80387-2_28.
     
  17. Pietro Liguori, Erfan Al-Hossami, Domenico Cotroneo, Roberto Natella, Bojan Cukic and Samira Shaikh. 2021. Shellcode_IA32: A Dataset for Automatic Shellcode Generation. Proceedings of the 1st Workshop on Natural Language Processing for Programming (NLP4Prog 2021). 2021. Association for Computational Linguistics, . https://doi.org/10.18653/v1/2021.nlp4prog-1.7.
     
  18. Khyati Mahajan, Erfan Al-Hossami and Samira Shaikh. 2021. TeamUNCC@ LT-EDI-EACL2021: Hope speech detection using transfer learning with transformers. Proceedings of the First Workshop on Language Technology for Equality, Diversity and Inclusion. 2021. 136–142.
     
  19. Khyati Mahajan, Sourav Roy Choudhury, Sara Levens, Tiffany Gallicano and Samira Shaikh. 2021. Community Connect: A Mock Social Media Platform to Study Online Behavior. Proceedings of the 14th ACM International Conference on Web Search and Data Mining. Mar. 2021. ACM, . https://doi.org/10.1145/3437963.3441698.
     
  20. Yaw Frempong, Yates Snyder, Erfan Al-Hossami, Meera Sridhar and Samira Shaikh. 2021. HIJaX: Human Intent JavaScript XSS Generator. Proceedings of the 18th International Conference on Security and Cryptography. 2021. SCITEPRESS – Science and Technology Publications, . https://doi.org/10.5220/0010583807980805.
     
  21. Laurie Feldman, Eliza Barach, Vidhushini Srinivasan and Samira Shaikh. 2021. Emojis and Words Work Together in the Service of Communication. Understanding and Applications in Social Media collocated w/ ICWSM. Jul. 2021. .
     
  22. Laurie Beth Feldman, Vidhushini Srinivasan, Rachel B. Fernandes and Samira Shaikh. 2021. Insights into codeswitching from online communication: Effects of language preference and conditions arising from vocabulary richness. Bilingualism: Language and Cognition , 24 , 4 . Apr. 2021, 791–797. DOI: https://doi.org/10.1017/s1366728921000122.
     
  23. Tamar E. Carter, Solomon Yared, Dejene Getachew, Joseph Spear, Sae Hee Choi, Jeanne N. Samake, Peter Mumba, Dereje Dengela, Gedeon Yohannes, Sheleme Chibsa, Matthew Murphy, Gunawardena Dissanayake, Cecilia Flately, Karen Lopez, Dan Janies, Sarah Zohdy, Seth R. Irish and Meshesha Balkew. 2021. Genetic diversity of Anopheles stephensi in Ethiopia provides insight into patterns of spread. Parasites &ampmathsemicolon Vectors , 14 , 1 . Dec. 2021, . DOI: https://doi.org/10.1186/s13071-021-05097-3.
     
  24. Gezahegn Solomon Alemayehu, Alebachew Messele, Karen Lopez, Eugenia Lo, Dan Janies and Lemu Golassa. 2021. Genetic Variations of Plasmodium Falciparum Histidine-rich Protein 2 and 3 in Assosa Zone, Ethiopia: Its Impact on the Performance of Malaria Rapid Diagnostic Tests. . Jun. Research Square Platform LLC. DOI: https://doi.org/10.21203/rs.3.rs-587442/v1.
     
  25. Daniel Kepple, Alfred Hubbard, Musab M. Ali, Beka R. Abargero, Karen Lopez, Kareen Pestana, Daniel A. Janies, Guiyun Yan, Muzamil Mahdi Hamid, Delenasaw Yewhalaw and Eugenia Lo. 2021. lessigreaterPlasmodium vivaxless/igreater From Duffy-Negative and Duffy-Positive Individuals Share Similar Gene Pools in East Africa. The Journal of Infectious Diseases , 224 , 8 . Feb. 2021, 1422–1431. DOI: https://doi.org/10.1093/infdis/jiab063.
     
  26. Denis Jacob Machado, Rachel Scott, Sayal Guirales and Dan Janies. 2021. Fundamental evolution of all lessigreaterOrthocoronavirinaeless/igreater including three deadly lineages descendent from Chiroptera-hosted coronaviruses: SARS-CoV, MERS-CoV and SARS-CoV-2. Cladistics , 37 , 5 . Apr. 2021, 461–488. DOI: https://doi.org/10.1111/cla.12454.
     
  27. Shaun Truelove, Claire P. Smith, Michelle Qin, Luke C. Mullany, Rebecca K. Borchering, Justin Lessler, Katriona Shea, Emily Howerton, Lucie Contamin, John Levander, Jessica Salerno, Harry Hochheiser, Matt Kinsey, Kate Tallaksen, Shelby Wilson, Lauren Shin, Kaitlin Rainwater-Lovett, Joseph C. Lemaitre, Juan Dent, Joshua Kaminsky, Elizabeth C. Lee, Javier Perez-Saez, Alison Hill, Dean Karlen, Matteo Chinazzi, Jessica T. Davis, Kunpeng Mu, Xinyue Xiong, Ana Pastore y Piontti, Alessandro Vespignani, Ajitesh Srivastava, Przemyslaw Porebski, Srinivasan Venkatramanan, Aniruddha Adiga, Bryan Lewis, Brian Klahn, Joseph Outten, James Schlitt, Patrick Corbett, Pyrros Alexander Telionis, Lijing Wang, Akhil Sai Peddireddy, Benjamin Hurt, Jiangzhuo Chen, Anil Vullikanti, Madhav Marathe, Stefan Hoops, Parantapa Bhattacharya, Dustin Machi, Shi Chen, Rajib Paul, Dan Janies, Jean-Claude Thill, Marta Galanti, Teresa Yamana, Sen Pei, Jeffrey Shaman, Nicholas G. Reich, Jessica M. Healy, Rachel B. Slayton, Matthew Biggerstaff, Michael A. Johansson, Michael C. Runge, Cé and cile Viboud. 2021. Projected resurgence of COVID-19 in the United States in July—December 2021 resulting from the increased transmissibility of the Delta variant and faltering vaccination. Cold Spring Harbor Laboratory . Aug. 2021, . DOI: https://doi.org/10.1101/2021.08.28.21262748.
     
  28. Shi Chen, Rajib Paul, Dan Janies, Keith Murphy, Tinghao Feng and Jean-Claude Thill. 2021. Exploring Feasibility of Multivariate Deep Learning Models in Predicting COVID-19 Epidemic. Frontiers in Public Health , 9 . Jul. 2021, . DOI: https://doi.org/10.3389/fpubh.2021.661615.
     
  29. Cheikh Cambel Dieng, Colby T. Ford, Jennifer Huynh, Linda E. Amoah, Yaw A. Afrane, Dan Janies and Eugenia Lo. 2021. Progress in Parasite Genomics and Its Application to Current Challenges in Malaria Control. In Current Topics and Emerging Issues in Malaria Elimination , (Ed.), IntechOpen. Jul. 2021. . DOI: https://doi.org/10.5772/intechopen.96530.
     
  30. Colby T. Ford, Denis Jacob Machado and Dan Janies. 2021. Predictions of the SARS-CoV-2 Omicron Variant (B.1.1.529) Spike Protein Receptor-Binding Domain Structure and Neutralizing Antibody Interactions. . Dec. Cold Spring Harbor Laboratory. DOI: https://doi.org/10.1101/2021.12.03.471024.
     
  31. Denis Jacob Machado, Richard Allen White, Janice Kofsky and Dan Janies. 2021. Fundamentals of genomic epidemiology, lessons learned from the coronavirus disease 2019 (COVID-19) pandemic, and new directions. Antimicrobial Stewardship &ampmathsemicolon Healthcare Epidemiology , 1 , 1 . 2021, . DOI: https://doi.org/10.1017/ash.2021.222.
     
  32. Tamar E. Carter, Solomon Yared, Dejene Getachew, Joseph Spear, Sae Hee Choi, Jeanne N. Samake, Peter Mumba, Dereje Dengela, Gedeon Yohannes, Sheleme Chibsa, Matthew Murphy, Gunawardena Dissanayake, Cecilia Flately, Karen Lopez, Dan Janies, Sarah Zohdy, Seth R. Irish and Meshesha Balkew. 2021. Tracking of lessigreaterAnopheles stephensiless/igreater in Ethiopia using mitochondrial DNA reveals pattern of spread. Cold Spring Harbor Laboratory . Apr. 2021, . DOI: https://doi.org/10.1101/2021.04.07.437873.
     
  33. Colby T. Ford, Rachel Scott, Denis Jacob Machado and Dan Janies. 2021. Sequencing Data of North American SARS-CoV-2 Isolates Shows Widespread Complex Variants. . Jan. Cold Spring Harbor Laboratory. DOI: https://doi.org/10.1101/2021.01.27.21250648.
     
  34. Mohsen Dorodchi, Nasrin DEHBOZORGI, Mohammadali FALLAHIAN and Seyedamin POURIYEH. 2021. Teaching Software Engineering using Abstraction through Modeling. Informatics in Education . Dec. 2021, 515–532. DOI: https://doi.org/10.15388/infedu.2021.23.
     
  35. Mohsen Dorodchi, Alexandria Benedict, Audrey Rorrer, David Pugalee and Lijuan Cao. 2021. Broadening the Middle School Computational Thinking Interventions Beyond Block Programming. 2021 ASEE Virtual Annual Conference Content Access Proceedings. 2021. ASEE Conferences, . https://doi.org/10.18260/1-2–36757.
     
  36. Mohsen Dorodchi, Alexandria Benedict, Erfan Al-Hossami, Andrew Quinn, Sandra Wiktor, Aileen Benedict and Mohammadali Fallahian. 2021. Clustering Students’ Short Text Reflections: A Software Engineering Course Case Study. . Jun. 2021. .
     
  37. Filipe Dwan Pereira, Hermino Barbosa de Freitas Jú, nior, Elaine Harada Teixeira de Oliveira, Leandro Silva Galvã, o de Carvalho, David Braga Fernandes de Oliveira, Aileen Benedict, Mohsen Dorodchi and Alexandra Ioana Cristea. 2021. Automatic creating variation of CS1 assignments and exams. Anais Estendidos do I Simpósio Brasileiro de Educação em Computação (EDUCOMP Estendido 2021). Apr. 2021. Sociedade Brasileira de Computação, . https://doi.org/10.5753/educomp_estendido.2021.14856.
     
  38. Alexia Galati, Riley Schoppa and Aidong Lu. 2021. Exploring the SenseMaking Process through Interactions and fNIRS in Immersive Visualization. IEEE Transactions on Visualization and Computer Graphics , 27 , 5 . May. 2021, 2714-2724. DOI: https://doi.org/10.1109/tvcg.2021.3067693.
     
  39. Alec Goncharow, Matthew Mcquaigue, Erik Saule, Kalpathi Subramanian, Jamie Payton and Paula Goolkasian. 2021. Mapping Materials to Curriculum Standards for Design, Alignment, Audit, and Search. Proceedings of the 52nd ACM Technical Symposium on Computer Science Education. Mar. 2021. ACM, . https://doi.org/10.1145/3408877.3432388.
     
  40. Audrey Rorrer, David Pugalee, Callie Edwards, Danielle Boulden, Mary Lou Maher, Lijuan Cao, Mohsen Dorodchi, Veronica Catete, David Frye, Tiffany Barnes and Eric Wiebe. 2021. The Design and Implementation of a Method for Evaluating and Building Research Practice Partnerships. Proceedings of the 52nd ACM Technical Symposium on Computer Science Education. Mar. 2021. ACM, . https://doi.org/10.1145/3408877.3432532.
     
  41. Kalpathi Subramanian, Jamie Payton and Matthew Mcquaigue. 2021. Real-World Data, Interactive Games and Data Structure Visualizations in Early CS Courses Using BRIDGES. Proceedings of the 52nd ACM Technical Symposium on Computer Science Education. Mar. 2021. ACM, . https://doi.org/10.1145/3408877.3432489.
     
  42. Shi Chen, Lina Zhou, Yunya Song, Qian Xu, Ping Wang, Kanlun Wang, Yaorong Ge and Dan Janies. 2021. A Novel Machine Learning Framework for Comparison of Viral COVID-19–Related Sina Weibo and Twitter Posts: Workflow Development and Content Analysis. Journal of Medical Internet Research , 23 , 1 . Jan. 2021, e24889. DOI: https://doi.org/10.2196/24889.
     
  43. Nasrin Dehbozorgi, Mary Lou Maher and Mohsen Dorodchi. 2021. Does Self-Efficacy Correlate with Positive Emotion and Academic Performance in Collaborative Learning?. 2021 IEEE Frontiers in Education Conference (FIE). Oct. 2021. IEEE, . https://doi.org/10.1109/fie49875.2021.9637471.
     

2020

  1. Jason Strahler, Matthew Mcquaigue, Alec Goncharow, David Burlinson, Kalpathi Subramanian, Erik Saule and Jamie Payton. 2020. Real-World Assignments at Scale to Reinforce the Importance of Algorithms and Complexity. J. Comput. Sci. Coll. , 35 , 8 . Apr. 2020, 166–175.
     
  2. Farah Kamw, Shamal Al-Dohuki, Ye Zhao, Thomas Eynon, David Sheets, Jing Yang, Xinyue Ye and Wei Chen. 2020. Urban Structure Accessibility Modeling and Visualization for Joint Spatiotemporal Constraints. IEEE Transactions on Intelligent Transportation Systems , 21 , 1 . Jan. 2020, 104–116. DOI: https://doi.org/10.1109/tits.2018.2888994.
     
  3. Suphanut Jamonnak, Ye Zhao, Andrew Curtis, Shamal Al-Dohuki, Xinyue Ye, Farah Kamw and Jing Yang. 2020. GeoVisuals: a visual analytics approach to leverage the potential of spatial videos and associated geonarratives. International Journal of Geographical Information Science , 34 , 11 . Mar. 2020, 2115–2135. DOI: https://doi.org/10.1080/13658816.2020.1737700.
     
  4. Chao Ma, Ye Zhao, Shamal AL-Dohuki, Jing Yang, Xinyue Ye, Farah Kamw and Md Amiruzzaman. 2020. GTMapLens: Interactive Lens for Geo-Text Data Browsing on Map. Computer Graphics Forum , 39 , 3 . Jun. 2020, 469–481. DOI: https://doi.org/10.1111/cgf.13995.
     
  5. Kexin Ding, Qiao Liu, Edward Lee, Mu Zhou, Aidong Lu and Shaoting Zhang. 2020. Feature-Enhanced Graph Networks for Genetic Mutational Prediction Using Histopathological Images in Colon Cancer. In Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 , (Ed.), Springer International Publishing. 2020. 294–304. DOI: https://doi.org/10.1007/978-3-030-59713-9_29.
     
  6. Tanner Hobson, Jeremiah Duncan, Mohammad Raji, Aidong Lu and Jian Huang. 2020. Alpaca: AR Graphics Extensions for Web Applications. 2020 IEEE Conference on Virtual Reality and 3D User Interfaces (VR). Mar. 2020. IEEE, . https://doi.org/10.1109/vr46266.2020.00036.
     
  7. Weichao Wang, Xintao Wu, Pu Wang, Mark Maybury and Aidong Lu. 2020. Towards AI-Assisted Smart Training Platform for Future Manufacturing Workforce. AAAI 2020 Spring Symposium, AI in Manufacturing. 2020. .
     
  8. Zhenhua Huang, Xun Wang, Liping Cai, Yong Tao, William J. Tolone, Mohammed El-Shambakey, Sreyasee Das Bhattacharjee and Isaac Cho. 2020. Blast Risk Assessment of Wood Residential Buildings: West Fertilizer Plant Explosion Case. Journal of Performance of Constructed Facilities , 34 , 3 . Jun. 2020, . DOI: https://doi.org/10.1061/(asce)cf.1943-5509.0001414.
     
  9. Alireza Karduni, Ryan Wesslen, Isaac Cho and Wenwen Dou. 2020. Du Bois Wrapped Bar Chart: Visualizing Categorical Data with Disproportionate Values. Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems. Apr. 2020. ACM, . https://doi.org/10.1145/3313831.3376365.
     
  10. Allie beckman , Matthew Mcquaigue, Alec Goncharow, David Burlinson, Kalpathi Subramanian, Erik Saule and Jamie Payton. 2020. Engaging Early Programming Students with Modern Assignments Using BRIDGES. J. Comput. Sci. Coll. , 35 , 6 . Apr. 2020, 74–83.
     
  11. Kalpathi Subramanian, Erik Saule and Jamie Payton. 2020. Bringing Real-World Data, Interactive Games and Visualizations into Early CS Courses. Proceedings of the 51st ACM Technical Symposium on Computer Science Education. Feb. 2020. ACM, . https://doi.org/10.1145/3328778.3367011.
     
  12. Matthew Mcquaigue, Allie Beckman, David Burlinson, Luke Sloop, Alec Goncharow, Erik Saule, Kalpathi Subramanian and Jamie Payton. 2020. An Engaging CS1 Curriculum Using BRIDGES. Proceedings of the 51st ACM Technical Symposium on Computer Science Education. Feb. 2020. ACM, . https://doi.org/10.1145/3328778.3372609.
     
  13. Kalpathi Subramanian and Kiran Budhrani. 2020. Influence of Course Design on Student Engagement and Motivation in an Online Course. Proceedings of the 51st ACM Technical Symposium on Computer Science Education. Feb. 2020. ACM, . https://doi.org/10.1145/3328778.3366828.
     
  14. Ryan Wesslen, Doug Markant, Alireza Karduni and Wenwen Dou. 2020. Using Resource-Rational Analysis to Understand Cognitive Biases in Interactive Data Visualizations. , arXiv, . https://doi.org/10.48550/ARXIV.2009.13368.
     
  15. Dustin L. Arendt, Nasheen Nur, Zhuanyi Huang, Gabriel Fair and Wenwen Dou. 2020. Parallel embeddings. Proceedings of the 25th International Conference on Intelligent User Interfaces. Mar. 2020. ACM, . https://doi.org/10.1145/3377325.3377514.
     
  16. Sara M. Levens, Michael Brunswick, Matthew McCue, Tiffany D. Gallicano and Samira Shaikh. 2020. Contagion via Media Use. , Wiley, 1–8. https://doi.org/10.1002/9781119011071.iemp0143.
     
  17. Sashank Santhanam, Zhuo Cheng, Brodie Mather, Bonnie Dorr, Archna Bhatia, Bryanna Hebenstreit, Alan Zemel, Adam Dalton, Tomek Strzalkowski and Samira Shaikh. 2020. Learning to Plan and Realize Separately for Open-Ended Dialogue Systems. Findings of the Association for Computational Linguistics: EMNLP 2020. 2020. Association for Computational Linguistics, . https://doi.org/10.18653/v1/2020.findings-emnlp.247.
     
  18. Yousri Marzouki, Eliza Barach, Vidhushini Srinivasan, Samira Shaikh and Laurie Beth Feldman. 2020. The dynamics of negative stereotypes as revealed by tweeting behavior in the aftermath of the Charlie Hebdo terrorist attack. Heliyon , 6 , 8 . Aug. 2020, e04311. DOI: https://doi.org/10.1016/j.heliyon.2020.e04311.
     
  19. Eliza Barach, Vidhushini Srinivasan, Rachel Fernandes, Laurie Beth Feldman and Samira Shaikh. 2020. It’s not Just What you Tweet, it’s how you Tweet It. 7th European Conference on Social Media ECSM 2020. 2020. 52.
     
  20. Khyati Mahajan and Samira Shaikh. 2020. Studying The Effect of Emotional and Moral Language on Information Contagion during the Charlottesville Event. Proceedings of the The Fourth Widening Natural Language Processing Workshop. 2020. Association for Computational Linguistics, . https://doi.org/10.18653/v1/2020.winlp-1.34.
     
  21. Sashank Santhanam, Alireza Karduni and Samira Shaikh. 2020. Studying the Effects of Cognitive Biases in Evaluation of Conversational Agents. Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems. Apr. 2020. ACM, . https://doi.org/10.1145/3313831.3376318.
     
  22. Mohammad Nasajpour, Seyedamin Pouriyeh, Reza M. Parizi, Mohsen Dorodchi, Maria Valero and Hamid R. Arabnia. 2020. Internet of Things for Current COVID-19 and Future Pandemics: an Exploratory Study. Journal of Healthcare Informatics Research , 4 , 4 . Nov. 2020, 325–364. DOI: https://doi.org/10.1007/s41666-020-00080-6.
     
  23. Nasrin Dehbozorgi, Mary Lou Maher and Mohsen Dorodchi. 2020. Sentiment Analysis on Conversations in Collaborative Active Learning as an Early Predictor of Performance. 2020 IEEE Frontiers in Education Conference (FIE). Oct. 2020. IEEE, . https://doi.org/10.1109/fie44824.2020.9274119.
     
  24. Leo C. Ureel, James Heliotis, Mohsen Dorodchi, Mireilla Bikanga Ada, Victoria Eisele, Megan E. Lutz and Ethel Tshukudu. 2020. Directing Incoming CS Students to an Appropriate Introductory Computer Science Course. 2020 IEEE Frontiers in Education Conference (FIE). Oct. 2020. IEEE, . https://doi.org/10.1109/fie44824.2020.9274037.
     
  25. Mohsen Dorodchi, Mohammadali Fallahian, Erfan Al-Hossami, Aileen Benedict and Alexandria Benedict. 2020. Custom” Caring IDE” for Online Offering of CS1. Sixth SPLICE Workshop at L@ S. 2020. .
     
  26. Ryan Bockmon, Stephen Cooper, Jonathan Gratch, Jian Zhang and Mohsen Dorodchi. 2020. Can Students’ Spatial Skills Predict Their Programming Abilities?. Proceedings of the 2020 ACM Conference on Innovation and Technology in Computer Science Education. Jun. 2020. ACM, . https://doi.org/10.1145/3341525.3387380.
     
  27. Ryan Bockmon, Stephen Cooper, William Koperski, Jonathan Gratch, Sheryl Sorby and Mohsen Dorodchi. 2020. A CS1 Spatial Skills Intervention and the Impact on Introductory Programming Abilities. Proceedings of the 51st ACM Technical Symposium on Computer Science Education. Feb. 2020. ACM, . https://doi.org/10.1145/3328778.3366829.
     
  28. Lijuan Cao, Audrey Rorrer, David Pugalee, Mary Lou Maher, Mohsen Dorodchi, David Frye, Tiffany Barnes and Eric Wiebe. 2020. Work in Progress Report. , ACM, . https://doi.org/10.1145/3328778.3366922.
     
  29. Vidhushini Srinivasan, Sashank Santhanam and Samira Shaikh. 2020. Using reinforcement learning with external rewards for open-domain natural language generation. Journal of Intelligent Information Systems , 56 , 1 . Nov. 2020, 189–206. DOI: https://doi.org/10.1007/s10844-020-00626-5.
     
  30. Ahmad Al-Doulat, Nasheen Nur, Alireza Karduni, Aileen Benedict, Erfan Al-Hossami, Mary Lou Maher, Wenwen Dou, Mohsen Dorodchi and Xi Niu. 2020. Making Sense of Student Success and Risk Through Unsupervised Machine Learning and Interactive Storytelling. In Lecture Notes in Computer Science , (Ed.), Springer International Publishing. 2020. 3–15. DOI: https://doi.org/10.1007/978-3-030-52237-7_1.
     
  31. Adam Dalton, Ehsan Aghaei, Ehab Al-Shaer, Archna Bhatia, Esteban Castillo, Zhuo Cheng, Sreekar Dhaduvai, Qi Duan, Bryanna Hebenstreit, Md Mazharul Islam, Younes Karimi, Amir Masoumzadeh, Brodie Mather, Sashank Santhanam, Samira Shaikh, Alan Zemel, Tomek Strzalkowski and Bonnie J. Dorr. 2020. Active Defense Against Social Engineering: The Case for Human Language Technology. Proceedings for the First International Workshop on Social Threats in Online Conversations: Understanding and Management. May. 2020. Marseille, France, European Language Resources Association, 1–8.
     
  32. Sashank Santhanam and Samira Shaikh. 2020. Understanding the Impact of Experiment Design for Evaluating Dialogue System Output. Proceedings of the The Fourth Widening Natural Language Processing Workshop. 2020. Association for Computational Linguistics, 124–127. https://doi.org/10.18653/v1/2020.winlp-1.33.
     

2019

  1. Shamal AL-Dohuki, Farah Kamw, Ye Zhao, Xinyue Ye, Jing Yang and Suphanut Jamonnak. 2019. An Open Source TrajAnalytics Software for Modeling, Transformation and Visualization of Urban Trajectory Data. 2019 IEEE Intelligent Transportation Systems Conference (ITSC). Oct. 2019. s, IEEE, . https://doi.org/10.1109/itsc.2019.8917058.
     
  2. Farah Kamw, Shamal AL-Dohuki, Ye Zhao, Jing Yang, Xinyue Ye and Wei Chen. 2019. Visually Analyzing Latent Accessibility Clusters of Urban POIs. EuroVis Workshop on Visual Analytics (EuroVA). 2019. The Eurographics Association, . https://doi.org/10.2312/eurova.20191123.
     
  3. Tom Polk, Dominik Jackle, Johannes Hausler and Jing Yang. 2019. CourtTime: Generating Actionable Insights into Tennis Matches Using Visual Analytics. IEEE Transactions on Visualization and Computer Graphics . 2019, 1–1. DOI: https://doi.org/10.1109/tvcg.2019.2934243.
     
  4. Chong Zhang, Yang Chen, Jing Yang and Zhengcong Yin. 2019. An association rule based approach to reducing visual clutter in parallel sets. Visual Informatics , 3 , 1 . Mar. 2019, 48–57. DOI: https://doi.org/10.1016/j.visinf.2019.03.006.
     
  5. Zerong Liu and Aidong Lu. 2019. Explainable Visualization for Interactive Exploration of CNN on Wikipedia Vandal Detection. 2019 IEEE International Conference on Big Data (Big Data). Dec. 2019. IEEE, . https://doi.org/10.1109/bigdata47090.2019.9006128.
     
  6. Siva Sandeep Subramanian, Parab Pushparaj, Zerong Liu and Aidong Lu. 2019. Explainable Visualization of Collaborative Vandal Behaviors in Wikipedia. 2019 IEEE Symposium on Visualization for Cyber Security (VizSec). Oct. 2019. IEEE, . https://doi.org/10.1109/vizsec48167.2019.9161504.
     
  7. Tahir Mahmood, Willis Fulmer, Neelesh Mungoli, Jian Huang and Aidong Lu. 2019. Improving Information Sharing and Collaborative Analysis for Remote GeoSpatial Visualization Using Mixed Reality. 2019 IEEE International Symposium on Mixed and Augmented Reality (ISMAR). Oct. 2019. IEEE, . https://doi.org/10.1109/ismar.2019.00021.
     
  8. Panpan Zheng, Shuhan Yuan, Xintao Wu, Jun Li and Aidong Lu. 2019. One-Class Adversarial Nets for Fraud Detection. Proceedings of the AAAI Conference on Artificial Intelligence. Jul. 2019. Association for the Advancement of Artificial Intelligence (AAAI), 1286–1293. https://doi.org/10.1609/aaai.v33i01.33011286.
     
  9. Yuemeng Li, Aidong Lu, Xintao Wu and Shuhan Yuan. 2019. Dynamic Anomaly Detection Using Vector Autoregressive Model. In Advances in Knowledge Discovery and Data Mining , (Ed.), Springer International Publishing. 2019. 600–611. DOI: https://doi.org/10.1007/978-3-030-16148-4_46.
     
  10. Honglei Han, Aidong Lu, Chanchan Xu and Unique Wells. 2019. Object-based Visual Attention Quantification using Head Orientation in VR Applications. International Journal of Performability Engineering . 2019, . DOI: https://doi.org/10.23940/ijpe.19.03.p2.732742.
     
  11. Willis Fulmer, Tahir Mahmood, Zhongyu Li, Shaoting Zhang, Jian Huang and Aidong Lu. 2019. ImWeb: Cross-Platform Immersive Web Browsing for Online 3D Neuron Database Exploration. Proceedings of the 24th International Conference on Intelligent User Interfaces. 2019. New York, NY, USA, Association for Computing Machinery, 367–378. https://doi.org/10.1145/3301275.3302319.
     
  12. Sreyasee Das Bhattacharjee, William J. Tolone, Ashish Mahabal, Mohammed Elshambakey, Isaac Cho, Abdullah al-Raihan Nayeem, Junsong Yuan and George Djorgovski. 2019. Multi-View, Generative, Transfer Learning for Distributed Time Series Classification. 2019 IEEE International Conference on Big Data (Big Data). Dec. 2019. IEEE, . https://doi.org/10.1109/bigdata47090.2019.9005452.
     
  13. Sreyasee Das Bhattacharjee, William J. Tolone, Ashish Mahabal, Mohammed Elshambakey, Isaac Cho and George Djorgovski. 2019. View-Adaptive Weighted Deep Transfer Learning for Distributed Time-Series Classification. 2019 IEEE 43rd Annual Computer Software and Applications Conference (COMPSAC). Jul. 2019. IEEE, . https://doi.org/10.1109/compsac.2019.00061.
     
  14. Alireza Karduni, Isaac Cho, Ryan Wesslen, Sashank Santhanam, Svitlana Volkova, Dustin L. Arendt, Samira Shaikh and Wenwen Dou. 2019. Vulnerable to misinformation?. Proceedings of the 24th International Conference on Intelligent User Interfaces. Mar. 2019. ACM, . https://doi.org/10.1145/3301275.3302320.
     
  15. Alec Goncharow, Anna Boekelheide, Matthew Mcquaigue, David Burlinson, Erik Saule, Kalpathi Subramanian and Jamie Payton. 2019. Classifying Pedagogical Material to Improve Adoption of Parallel and Distributed Computing Topics. 2019 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW). May. 2019. IEEE, . https://doi.org/10.1109/ipdpsw.2019.00060.
     
  16. Kalpathi Subramanian, Jamie Payton and Erik Saule. 2019. Bringing Real-World Data and Visualizations of Student-Implemented Data Structures into Sophomore CS Courses Using BRIDGES . Proceedings of the 50th ACM Technical Symposium on Computer Science Education. Feb. 2019. ACM, . https://doi.org/10.1145/3287324.3287536.
     
  17. Kalpathi Subramanian and Kiran Budhrani. 2019. Applying Project-Based Learning for An Online Object-Oriented Systems Course. Proceedings of the 50th ACM Technical Symposium on Computer Science Education. Feb. 2019. ACM, . https://doi.org/10.1145/3287324.3293786.
     
  18. Omer T. Karaguzel, Mohammed Elshambakey, Yimin Zhu, Tianzhen Hong, William J. Tolone, Sreyasee Das Bhattacharjee, Isaac Cho, Wenwen Dou, Haopeng Wang, Siliang Lu, Mohamed Khalefa and Yong Tao. 2019. Open Computing Infrastructure for Sharing Data Analytics to Support Building Energy Simulations. Journal of Computing in Civil Engineering , 33 , 6 . Nov. 2019, . DOI: https://doi.org/10.1061/(asce)cp.1943-5487.0000857.
     
  19. Nasheen Nur, Noseong Park, Mohsen Dorodchi, Wenwen Dou, Mohammad Javad Mahzoon, Xi Niu and Mary Lou Maher. 2019. Student Network Analysis: A Novel Way to Predict Delayed Graduation in Higher Education. In Lecture Notes in Computer Science , (Ed.), Springer International Publishing. 2019. 370–382. DOI: https://doi.org/10.1007/978-3-030-23204-7_31.
     
  20. R. Wesslen, S. Santhanam, A. Karduni, Isaac Cho, Samira Shaikh and Wenwen Dou. 2019. Investigating Effects of Visual Anchors on Decision-Making about Misinformation. Computer Graphics Forum , 38 , 3 . Jun. 2019, 161–171. DOI: https://doi.org/10.1111/cgf.13679.
     
  21. Dustin Arendt, Emily Saldanha, Ryan Wesslen, Svitlana Volkova and Wenwen Dou. 2019. Towards Rapid Interactive Machine Learning: Evaluating Tradeoffs of Classification without Representation. Proceedings of the 24th International Conference on Intelligent User Interfaces. 2019. New York, NY, USA, Association for Computing Machinery, 591–602. https://doi.org/10.1145/3301275.3302280.
     
  22. Margaret Reichard, Zachary Wartell, Samira Shaikh, Alexia Galati and Isaac Cho. 2019. Decision-Making and Cognitive Biases in Virtual Reality. . [URL].
     

2018

  1. Isaac Cho, Jialei Li and Zachary Wartell. 2018. Multi-Scale 7DOF View Adjustment. IEEE Transactions on Visualization and Computer Graphics , 24 , 3 . Mar. 2018, 1331–1344. DOI: https://doi.org/10.1109/tvcg.2017.2668405.
     
  2. Christopher Collins, Natalia Andrienko, Tobias Schreck, Jing Yang, Jaegul Choo, Ulrich Engelke, Amit Jena and Tim Dwyer. 2018. Guidance in the human–machine analytics process. Visual Informatics , 2 , 3 . Sep. 2018, 166–180. DOI: https://doi.org/10.1016/j.visinf.2018.09.003.
     
  3. Tahir Mahmood, Erik Butler, Nicholas Davis, Jian Huang and Aidong Lu. 2018. Building Multiple Coordinated Spaces for Effective Immersive Analytics through Distributed Cognition. 2018 International Symposium on Big Data Visual and Immersive Analytics (BDVA). Oct. 2018. IEEE, . https://doi.org/10.1109/bdva.2018.8533893.
     
  4. Zhongyu Li, Erik Butler, Kang Li, Aidong Lu, Shuiwang Ji and Shaoting Zhang. 2018. Large-scale Exploration of Neuronal Morphologies Using Deep Learning and Augmented Reality. Neuroinformatics , 16 , 3-4 . Feb. 2018, 339–349. DOI: https://doi.org/10.1007/s12021-018-9361-5.
     
  5. Sreyasee Das Bhattacharjee, William J. Tolone, Mohammed Elshambakey, Isaac Cho, Ashish Mahabal and George Djorgovski. 2018. Context-Aware Deep Sequence Learning with Multi-View Factor Pooling for Time Series Classification. 2018 IEEE International Conference on Big Data (Big Data). Dec. 2018. IEEE, . https://doi.org/10.1109/bigdata.2018.8622253.
     
  6. Jialei Li, Isaac Cho and Zachary Wartell. 2018. Evaluation of Cursor Offset on 3D Selection in VR. Proceedings of the Symposium on Spatial User Interaction. Oct. 2018. ACM, . https://doi.org/10.1145/3267782.3267797.
     
  7. Ryan Wesslen, Sashank Santhanam, Alireza Karduni, Isaac Cho, Samira Shaikh and Wenwen Dou. 2018. Anchored in a Data Storm: How Anchoring Bias Can Affect User Strategy, Confidence, and Decisions in Visual Analytics. , arXiv, . https://doi.org/10.48550/ARXIV.1806.02720.
     
  8. Alireza Karduni, Ryan Wesslen, Sashank Santhanam, Isaac Cho, Svitlana Volkova, Dustin Arendt, Samira Shaikh and Wenwen Dou. 2018. Can You Verifi This? Studying Uncertainty and Decision-Making About Misinformation Using Visual Analytics. Twelfth international International AAAI Conference on Web and Social Media (ICWSM). Jun. 2018. ACM, .
     
  9. Tumininu Lawanson, Roozbeh Karandeh, Valentina Cecchi, Zachary Wartell and Isaac Cho. 2018. Improving Power Distribution System Situational Awareness Using Visual Analytics. SoutheastCon 2018. Apr. 2018. IEEE, . https://doi.org/10.1109/secon.2018.8479204.
     
  10. Mohammad Javad Mahzoon, Mary Lou Maher, Omar Eltayeby, Wenwen Dou and Kazjon Grace. 2018. A Framework for Interactive Exploratory Learning Analytics. Learning and Collaboration Technologies. Learning and Teaching. 2018. Cham, Springer International Publishing, 319–331.
     
  11. Omar ElTayeby, Todd Eaglin, Malak Abdullah, David Burlinson, Wenwen Dou and Lixia Yao. 2018. A feasibility study on identifying drinking-related contents in Facebook through mining heterogeneous data. Health Informatics Journal , 25 , 4 . Sep. 2018, 1756–1767. DOI: https://doi.org/10.1177/1460458218798084.
     
  12. Sahar A. Aseeri and Victoria Interrante. 2018. The Influence of Avatar Representation and Behavior on Communication in Social Immersive Virtual Environments. 2018 IEEE Conference on Virtual Reality and 3D User Interfaces (VR). Mar. 2018. IEEE, . https://doi.org/10.1109/vr.2018.8446261.
     

2017

  1. Shamal Al-Dohuki, Yingyu Wu, Farah Kamw, Jing Yang, Xin Li, Ye Zhao, Xinyue Ye, Wei Chen, Chao Ma and Fei Wang. 2017. SemanticTraj: A New Approach to Interacting with Massive Taxi Trajectories. IEEE Transactions on Visualization and Computer Graphics , 23 , 1 . Jan. 2017, 11–20. DOI: https://doi.org/10.1109/tvcg.2016.2598416.
     
  2. Mohammed Elshambakey, Mohamed Khalefa, William J. Tolone, Sreyasee Das Bhattacharjee, Huikyo Lee, Luca Cinquini, Shannon Schlueter, Isaac Cho, Wenwen Dou and Daniel J. Crichton. 2017. Towards a distributed infrastructure for data-driven discoveries &ampmathsemicolon analysis. 2017 IEEE International Conference on Big Data (Big Data). Dec. 2017. IEEE, . https://doi.org/10.1109/bigdata.2017.8258526.
     
  3. Alireza Karduni, Isaac Cho, Ginette Wessel, William Ribarsky, Eric Sauda and Wenwen Dou. 2017. Urban Space Explorer: A Visual Analytics System for Urban Planning. IEEE Computer Graphics and Applications , 37 , 5 . 2017, 50–60. DOI: https://doi.org/10.1109/mcg.2017.3621223.
     
  4. Ashit Talukder, Mohammed Elshambakey, Sameer Wadkar, Huikyo Lee, Luca Cinquini, Shannon Schlueter, Isaac Cho, Wenwen Dou and Daniel J. Crichton. 2017. VIFI: Virtual information fabric infrastructure for data-driven discoveries from distributed earth science data. 2017 IEEE SmartWorld, Ubiquitous Intelligence &ampmathsemicolon Computing, Advanced &ampmathsemicolon Trusted Computed, Scalable Computing &ampmathsemicolon Communications, Cloud &ampmathsemicolon Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI). Aug. 2017. IEEE, . https://doi.org/10.1109/uic-atc.2017.8397642.
     
  5. Alireza Karduni, Isaac Cho, Ginette Wessel, Wewen Dou, William Ribarsky and Eric Sauda. 2017. Urban Activity Explorer: Visual Analytics and Planning Support Systems. , Springer International Publishing, 65–76. https://doi.org/10.1007/978-3-319-57819-4_4.
     
  6. Todd Eaglin, Isaac Cho and William Ribarsky. 2017. Space-Time Kernel Density Estimation for Real-Time Interactive Visual Analytics. Proceedings of the 50th Hawaii International Conference on System Sciences (2017). 2017. Hawaii International Conference on System Sciences, . https://doi.org/10.24251/hicss.2017.165.
     
  7. Yuemeng Li, Xintao Wu and Aidong Lu. 2017. On Spectral Analysis of Directed Signed Graphs. 2017 IEEE International Conference on Data Science and Advanced Analytics (DSAA). Oct. 2017. IEEE, . https://doi.org/10.1109/dsaa.2017.29.
     

2016

  1. Xiting Wang, Shixia Liu, Yang Chen, Tai-Quan Peng, Jing Su, Jing Yang and Baining Guo. 2016. How ideas flow across multiple social groups. 2016 IEEE Conference on Visual Analytics Science and Technology (VAST). Oct. 2016. IEEE, 51–60. https://doi.org/10.1109/vast.2016.7883511.
     
  2. Spike E. Dog, Alex Tweed, LeRoy Rouse, Bill Chu, Duan Qi, Yueqi Hu, Jing Yang and Ehab Al-Shaer. 2016. Strategic Cyber Threat Intelligence Sharing: A Case Study of IDS Logs. 2016 25th International Conference on Computer Communication and Networks (ICCCN). Aug. 2016. IEEE, . https://doi.org/10.1109/icccn.2016.7568578.
     
  3. Xiaoke Huang, Ye Zhao, Chao Ma, Jing Yang, Xinyue Ye and Chong Zhang. 2016. TrajGraph: A Graph-Based Visual Analytics Approach to Studying Urban Network Centralities Using Taxi Trajectory Data. IEEE Transactions on Visualization and Computer Graphics , 22 , 1 . Jan. 2016, 160–169. DOI: https://doi.org/10.1109/tvcg.2015.2467771.
     
  4. Chong Zhang, Jing Yang, F. Benjamin Zhan, Xi Gong, Jean D. Brender, Peter H. Langlois, Scott Barlowe and Ye Zhao. 2016. A visual analytics approach to high-dimensional logistic regression modeling and its application to an environmental health study. 2016 IEEE Pacific Visualization Symposium (PacificVis). Apr. 2016. IEEE, . https://doi.org/10.1109/pacificvis.2016.7465261.
     
  5. Yueqi Hu, Tom Polk, Jing Yang, Ye Zhao and Shixia Liu. 2016. Spot-tracking lens: A zoomable user interface for animated bubble charts. 2016 IEEE Pacific Visualization Symposium (PacificVis). Apr. 2016. IEEE, . https://doi.org/10.1109/pacificvis.2016.7465246.