Computer Science - 2022

Stocco, A., Nunes, P. J., D'Amorim, M., & Tonella, P. (2022, October 10). ThirdEye: Attention Maps for Safe Autonomous Driving Systems. https://doi.org/10.1145/3551349.3556968

Alcantara, L., Padilha, G., Abreu, R., & d'Amorim, M. (2022). Syrius: Synthesis of Rules for Intrusion Detectors. IEEE Transactions on Reliability. https://doi.org/10.1109/TR.2021.3061297

Cabral, L., Miranda, B., Lima, I., & d'Amorim, M. (2022). RVprio: A tool for prioritizing runtime verification violations. Software Testing, Verification and Reliability. https://doi.org/10.1002/stvr.1813

Reis, S., Abreu, R., d'Amorim, M., & Fortunato, D. (2022, October 10). Leveraging Practitioners’ Feedback to Improve a Security Linter. https://doi.org/10.1145/3551349.3560419

Singh, M. P. (2022). Consent as a Foundation for Responsible Autonomy. Proceedings of the AAAI Conference on Artificial Intelligence, 36(11), 12301–12306. https://doi.org/10.1609/aaai.v36i11.21494

Matsuda, N. (2022). Teachable Agent as an Interactive Tool for Cognitive Task Analysis: A Case Study for Authoring an Expert Model. International Journal of Artificial Intelligence in Education, 32(1), 48–75. https://doi.org/10.1007/s40593-021-00265-z

Yu, R., & Xue, G. (2022). Principles and Practices for Application-Network Co-Design in Edge Computing. IEEE Network, 1–7. https://doi.org/10.1109/mnet.128.2200430

Yedida, R., Beasley, J.-M., Korn, D., Abrar, S. M., Melo-Filho, C. C., Muratov, E., … Tropsha, A. (2022). TEXT MINING OF THE PEOPLE'S PHARMACY RADIO SHOW TRANSCRIPTS CAN IDENTIFY NOVEL DRUG REPURPOSING HYPOTHESES. MedRxiv. https://doi.org/10.1101/2022.02.02.22270107

Yedida, R., & Menzies, T. (2022). How to Improve Deep Learning for Software Analytics (a case study with code smell detection). ArXiv. https://doi.org/10.48550/arxiv.2202.01322

Yedida, R., Kang, H. J., Tu, H., Yang, X., Lo, D., & Menzies, T. (2022). How to Find Actionable Static Analysis Warnings: A Case Study with FindBugs. ArXiv. https://doi.org/10.48550/arXiv.2205.10504

Zahan, N., Kanakiya, P., Hambleton, B., Shohan, S., & Williams, L. (2022). OpenSSF Scorecard: On the Path Toward Ecosystem-wide Automated Security Metrics. https://doi.org/10.48550/ARXIV.2208.03412

Seth, A., Bhattacharya, S., Zahan, N., & Williams, L. (2022). Comparing Effectiveness and Efficiency of Interactive Application Security Testing (Iast) and Runtime Application Self-Protection (Rasp) Tools in A Large Java-Based System. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.4306114

Anjum, I., Kostecki, D., Leba, E., Sokal, J., Bharambe, R., Enck, W., … Reaves, B. (2022). Removing the Reliance on Perimeters for Security using Network Views. Proceedings of the 27th ACM on Symposium on Access Control Models and Technologies, 151–162.

Miah, M. S., Zhu, M., Granados, A., Sharmin, N., Anjum, I., Ortiz, A., … Singh, M. P. (2022). Optimizing Honey Traffic Using Game Theory and Adversarial Learning. In Cyber Deception: Techniques, Strategies, and Human Aspects (pp. 97–124). Springer.

Dunlap, T., Enck, W., & Reaves, B. (2022). A Study of Application Sandbox Policies in Linux. Proceedings of the 27th ACM on Symposium on Access Control Models and Technologies, 19–30.

Gorski III, S. A., Thorn, S., Enck, W., & Chen, H. (2022). ${$FReD$}$: Identifying File ${$Re-Delegation$}$ in Android System Services. 31st USENIX Security Symposium (USENIX Security 22), 1525–1542.

Datta, P., Polinsky, I., Inam, M. A., Bates, A., & Enck, W. (2022). ${$ALASTOR$}$: Reconstructing the Provenance of Serverless Intrusions. 31st USENIX Security Symposium (USENIX Security 22), 2443–2460.

Martin, D., Holder, T., Nichols, C., Park, J., Roberts, D., & Bozkurt, A. (2022). Comparing Accelerometry and Depth Sensing-Based Computer Vision for Canine Tail Wagging Interpretation. NINTH INTERNATIONAL CONFERENCE ON ANIMAL-COMPUTER INTERACTION, ACI 2022. https://doi.org/10.1145/3565995.3566025

Wu, Y., Holder, T., Foster, M., Williams, E., Enomoto, M., Lascelles, B. D. X., … Roberts, D. L. (2022). Spatial and Temporal Analytic Pipeline for Evaluation of Potential Guide Dogs Using Location and Behavior Data. NINTH INTERNATIONAL CONFERENCE ON ANIMAL-COMPUTER INTERACTION, ACI 2022. https://doi.org/10.1145/3565995.3566033

Wang, J., Foster, M., Bozkurt, A., & Roberts, D. L. (2022). Motion-Resilient ECG Signal Reconstruction from a Wearable IMU through Attention Mechanism and Contrastive Learning. NINTH INTERNATIONAL CONFERENCE ON ANIMAL-COMPUTER INTERACTION, ACI 2022. https://doi.org/10.1145/3565995.3566037

Holder, T., Rahman, M., Summers, E., Roberts, D., Wong, C.-W., & Bozkurt, A. (2022). Contact-Free Simultaneous Sensing of Human Heart Rate and Canine Breathing Rate for Animal Assisted Interactions. NINTH INTERNATIONAL CONFERENCE ON ANIMAL-COMPUTER INTERACTION, ACI 2022. https://doi.org/10.1145/3565995.3566039

Khan, U. M., & Shahzad, M. (2022). Estimating Soil Moisture using RF Signals. PROCEEDINGS OF THE 2022 THE 28TH ANNUAL INTERNATIONAL CONFERENCE ON MOBILE COMPUTING AND NETWORKING, ACM MOBICOM 2022, pp. 242–254. https://doi.org/10.1145/3495243.3517025

Rodrigo, M. M., Matsuda, N., Cristea, A. I., & Dimitrova, V. (Eds.). (2022). Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners’ and Doctoral Consortium. https://doi.org/10.1007/978-3-031-11647-6

Ling, X., Agrawal, R., & Menzies, T. (2022). How Different is Test Case Prioritization for Open and Closed Source Projects? IEEE Transactions on Software Engineering, 48(7), 2526–2540. https://doi.org/10.1109/TSE.2021.3063220

Peng, K., & Menzies, T. (2022). Defect Reduction Planning (Using TimeLIME). IEEE Transactions on Software Engineering, 48(7), 2510–2525. https://doi.org/10.1109/TSE.2021.3062968

Kim, J., Madhusudan, A., Watson, B., Boudaoud, B., Tarrazo, R., & Spjut, J. (2022). Display Size and Targeting Performance: Small Hurts, Large May Help. PROCEEDINGS SIGGRAPH ASIA 2022. https://doi.org/10.1145/3550469.3555396

Jiang, B., Krim, H., Wu, T., & Cansever, D. (2022). REFINING SELF-SUPERVISED LEARNING IN IMAGING: BEYOND LINEAR METRIC. 2022 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, ICIP, pp. 76–80. https://doi.org/10.1109/ICIP46576.2022.9897745

Zhao, Q., Qiu, Z., Shao, S., Hui, X., Khan, H. A., & Jin, G. (2022). Understanding and Reaching the Performance Limit of Schedule Tuning on Stable Synchronization Determinism. PROCEEDINGS OF THE 2022 31ST INTERNATIONAL CONFERENCE ON PARALLEL ARCHITECTURES AND COMPILATION TECHNIQUES, PACT 2022, pp. 223–238. https://doi.org/10.1145/3559009.3569669

Mahmud, S. Y., English, K. V., Thorn, S., Enck, W., Oest, A., & Saad, M. (2022). Analysis of Payment Service Provider SDKs in Android. PROCEEDINGS OF THE 38TH ANNUAL COMPUTER SECURITY APPLICATIONS CONFERENCE, ACSAC 2022, pp. 576–590. https://doi.org/10.1145/3564625.3564641

Moussa, A., & Ore, J.-P. (2022). Maktub: Lightweight Robot System Test Creation and Automation. PROCEEDINGS OF THE 37TH IEEE/ACM INTERNATIONAL CONFERENCE ON AUTOMATED SOFTWARE ENGINEERING, ASE 2022. https://doi.org/10.1145/3551349.3559531

Jia, Q., Young, M., Xiao, Y., Cui, J., Liu, C., Rashid, P., & Gehringer, E. (2022). Automated feedback generation for student project reports: a data-driven approach. Journal of Educational Data Mining, 14(3), 132–161. https://doi.org/10.5281/zenodo.7304954

Chatterjee, B., & Dutta, R. (2022). Studying the Effect of Network Latency on an Adaptive Coordinated Path Planning Algorithm for UAV Platoons. PROCEEDINGS OF THE 2022 EIGHTH WORKSHOP ON MICRO AERIAL VEHICLE NETWORKS, SYSTEMS, AND APPLICATIONS, DRONET 2022, pp. 7–12. https://doi.org/10.1145/3539493.3539581

Samal, T., & Dutta, R. (2022). Communication in a Drone-Platoon using Geographic Routing. PROCEEDINGS OF THE 2022 EIGHTH WORKSHOP ON MICRO AERIAL VEHICLE NETWORKS, SYSTEMS, AND APPLICATIONS, DRONET 2022, pp. 31–36. https://doi.org/10.1145/3539493.3539580

Funderburk, M., Kesler, J., Sridhar, K., Sichitiu, M. L., Guvenc, I., Dutta, R., … Marojevic, V. (2022). AERPAW Vehicles: Hardware and Software Choices. PROCEEDINGS OF THE 2022 EIGHTH WORKSHOP ON MICRO AERIAL VEHICLE NETWORKS, SYSTEMS, AND APPLICATIONS, DRONET 2022, pp. 37–42. https://doi.org/10.1145/3539493.3539583

Kaltofen, E. L. (2022). The GKR Protocol Revisited: Nearly Optimal Prover-Complexity For Polynomial-Time Wiring Algorithms and For Primality Testing in n(1/2+o(1)) Rounds. PROCEEDINGS OF THE 2022 INTERNATIONAL SYMPOSIUM ON SYMBOLIC AND ALGEBRAIC COMPUTATION, ISSAC 2022, pp. 177–186. https://doi.org/10.1145/3476446.3536183

Kaltofen, E. L. (2022). Sparse Polynomial Hermite Interpolation. PROCEEDINGS OF THE 2022 INTERNATIONAL SYMPOSIUM ON SYMBOLIC AND ALGEBRAIC COMPUTATION, ISSAC 2022, pp. 469–478. https://doi.org/10.1145/3476446.3535501

Rachmatullah, A., Vandenberg, J., & Wiebe, E. (2022). Toward More Generalizable CS and CT Instruments: Examining the Interaction of Country and Gender at the Middle Grades Level. PROCEEDINGS OF THE 27TH ACM CONFERENCE ON INNOVATION AND TECHNOLOGY IN COMPUTER SCIENCE EDUCATION, ITICSE 2022, VOL 1, pp. 179–185. https://doi.org/10.1145/3502718.3524790

Bai, G. R., Presler-Marshall, K., Price, T. W., & Stolee, K. T. (2022). Check It Off: Exploring the Impact of a Checklist Intervention on the Quality of Student-authored Unit Tests. PROCEEDINGS OF THE 27TH ACM CONFERENCE ON INNOVATION AND TECHNOLOGY IN COMPUTER SCIENCE EDUCATION, ITICSE 2022, VOL 1, pp. 276–282. https://doi.org/10.1145/3502718.3524799

Limke, A., Milliken, A., Catete, V., Gransbury, I., Isvik, A., Price, T., … Barnes, T. (2022). Case Studies on the use of Storyboarding by Novice Programmers. PROCEEDINGS OF THE 27TH ACM CONFERENCE ON INNOVATION AND TECHNOLOGY IN COMPUTER SCIENCE EDUCATION, ITICSE 2022, VOL 1, pp. 318–324. https://doi.org/10.1145/3502718.3524749

Wermke, D., Wöhler, N., Klemmer, J. H., Fourné, M., Acar, Y., & Fahl, S. (2022). Committed to Trust: A Qualitative Study on Security & Trust in Open Source Software Projects. 43rd IEEE Symposium on Security and Privacy (IEEE S&P 2022).

Huaman, N., Krause, A., Wermke, D., Klemmer, J. H., Stransky, C., Acar, Y., & Fahl, S. (2022). If You Can’t Get Them to the Lab: Evaluating a Virtual Study Environment with Security Information Workers. Eighteenth Symposium on Usable Privacy and Security (SOUPS 2022).

Gaweda, A. M., & Lynch, C. F. (2022). Exploration of the Week-by-Week ICAP Transitions by Students. Proceedings of the 53rd ACM Technical Symposium on Computer Science Education V. 2, 1088–1088.

Gaweda, A. M. (2022). Encouraging Student Practice Using Nudge Theory Recommendations During Study and Struggle. North Carolina State University.

Gao, Z., Erickson, B., Xu, Y., Lynch, C., Heckman, S., Barnes, T., & others. (2022). You asked, now what? Modeling Students' Help-Seeking and Coding actions from Request to Resolution. Journal of Educational Data Mining, 14(3), 109–131.

Gao, Z., Heckman, S., & Lynch, C. (2022). Who uses office hours? a comparison of in-person and virtual office hours utilization. Proceedings of the 53rd ACM Technical Symposium on Computer Science Education-Volume 1, 300–306.

Presler-Marshall, K., Heckman, S., & Stolee, K. T. (2022). What Makes Team [s] Work? A Study of Team Characteristics in Software Engineering Projects. Proceedings of the 2022 ACM Conference on International Computing Education Research-Volume 1, 177–188.

Carver, J. C., Heckman, S., & Sherriff, M. (2022). Training computing educators to become computing education researchers. Proceedings of the 53rd ACM Technical Symposium on Computer Science Education-Volume 1, 724–730.

Presler-Marshall, K., Heckman, S., & Stolee, K. T. (2022). Identifying struggling teams in software engineering courses through weekly surveys. Proceedings of the 53rd ACM Technical Symposium on Computer Science Education-Volume 1, 126–132.

Mannekote, A., Celepkolu, M., Galdo, A. C., Boyer, K. E., Israel, M., Heckman, S., & Stephens-Martinez, K. (2022). Don't Just Paste Your Stacktrace: Shaping Discussion Forums in Introductory CS Courses. Proceedings of the 53rd ACM Technical Symposium on Computer Science Education V. 2, 1164–1164.

Gitinabard, N., Heckman, S., Barnes, T., & Lynch, C. (2022). Designing a dashboard for student teamwork analysis. Proceedings of the 53rd ACM Technical Symposium on Computer Science Education-Volume 1, 446–452.

Erickson, B., Heckman, S., & Lynch, C. F. (2022). Characterizing Student Development Progress: Validating Student Adherence to Project Milestones. Proceedings of the 53rd ACM Technical Symposium on Computer Science Education-Volume 1, 15–21.

Gao, Z., Erickson, B., Xu, Y., Lynch, C., Heckman, S., & Barnes, T. (2022). Admitting you have a problem is the first step: Modeling when and why students seek help in programming assignments. Proceedings of the 15th International Conference on Educational Data Mining, A. Mitrovic and N. Bosch, Eds. International Educational Data Mining Society, Durham, United Kingdom, 508–514.

Heckman, S., & Minnes, M. (2022). Academic Middle Management: Undergraduate Leadership in Computing Programs. Proceedings of the 53rd ACM Technical Symposium on Computer Science Education V. 2, 1184–1184.

Battestilli, L., Zahn, M., & Heckman, S. (2022). Academic Help Seeking Patterns in Introductory Computer Science Courses. 2022 ASEE Annual Conference & Exposition.

Zahn, M., & Heckman, S. (2022). Observations on Student Help-Seeking Behaviors in Introductory Computer Science Courses. Proceedings of the 54th ACM Technical Symposium on Computer Science Education V. 2, 1380–1380. https://doi.org/10.1145/3545947.3576325

Heckman, S., Carver, J. C., Sherriff, M., & Al-zubidy, A. (2022). A Systematic Literature Review of Empiricism and Norms of Reporting in Computing Education Research Literature. ACM Transactions on Computing Education. https://doi.org/10.1145/3470652

Li, P., Guo, Y., Luo, Y., Wang, X., Wang, Z., & Liu, X. (2022). Graph Neural Networks Based Memory Inefficiency Detection Using Selective Sampling. SC22: INTERNATIONAL CONFERENCE FOR HIGH PERFORMANCE COMPUTING, NETWORKING, STORAGE AND ANALYSIS. https://doi.org/10.1109/SC41404.2022.00090

Du, Z., Li, J., Wang, Y., Li, X., Tan, G., & Sun, N. (2022). AlphaSparse: Generating High Performance SpMV Codes Directly from Sparse Matrices. SC22: INTERNATIONAL CONFERENCE FOR HIGH PERFORMANCE COMPUTING, NETWORKING, STORAGE AND ANALYSIS. https://doi.org/10.1109/SC41404.2022.00071

Wilson, E., Mueller, F., & Pakin, S. (2022). Combining Hard and Soft Constraints in Quantum Constraint-Satisfaction Systems. SC22: INTERNATIONAL CONFERENCE FOR HIGH PERFORMANCE COMPUTING, NETWORKING, STORAGE AND ANALYSIS. https://doi.org/10.1109/SC41404.2022.00018

Gadiraju, K. K., Chen, Z., Ramachandra, B., & Vatsavai, R. R. (2022). Real-Time Change Detection At the Edge. 2022 21ST IEEE INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND APPLICATIONS, ICMLA, pp. 776–781. https://doi.org/10.1109/ICMLA55696.2022.00130

Sinha, P., Krim, H., & Guvenc, I. (2022). Neural Network Based Tracking of Maneuvering Unmanned Aerial Vehicles. 2022 56TH ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS, AND COMPUTERS, pp. 380–386. https://doi.org/10.1109/IEEECONF56349.2022.10052072

Zhao, Y., Yang, X., & Vatsavai, R. R. (2022). Multi-stream Deep Residual Network for Cloud Imputation Using Multi-resolution Remote Sensing Imagery. 2022 21ST IEEE INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND APPLICATIONS, ICMLA, pp. 97–104. https://doi.org/10.1109/ICMLA55696.2022.00021

Liu, J., Symons, C., & Vatsavai, R. R. (2022). Persona-Based Conversational AI: State of the Art and Challenges. 2022 IEEE INTERNATIONAL CONFERENCE ON DATA MINING WORKSHOPS, ICDMW, pp. 993–1001. https://doi.org/10.1109/ICDMW58026.2022.00129

Xiao, Y., Gao, Y., Yue, C., & Gehringer, E. (2022). Estimating Student Grades through Peer Assessment as a Crowdsourcing Calibration Problem. 2022 20TH INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY BASED HIGHER EDUCATION AND TRAINING (ITHET). https://doi.org/10.1109/ITHET56107.2022.10031993

Xiao, Y., Chatterjee, S., & Gehringer, E. (2022). A New Era of Plagiarism the Danger of Cheating Using AI. 2022 20TH INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY BASED HIGHER EDUCATION AND TRAINING (ITHET). https://doi.org/10.1109/ITHET56107.2022.10031827

Wang, W., Xu, H., Liu, X., Li, Y., Thuraisingham, B., & Tang, J. (2022). Imbalanced Adversarial Training with Reweighting. 2022 IEEE INTERNATIONAL CONFERENCE ON DATA MINING (ICDM), pp. 1209–1214. https://doi.org/10.1109/ICDM54844.2022.00156

Nan, Z., Dave, M., Shen, X., Liao, C., Vanderbruggen, T., Lin, P.-H., & Emani, M. (2022). Interactive NLU-Powered Ontology-Based Workflow Synthesis for FAIR Support of HPC. 2022 IEEE/ACM INTERNATIONAL WORKSHOP ON HPC USER SUPPORT TOOLS (HUST), pp. 29–40. https://doi.org/10.1109/HUST56722.2022.00009

Anwar, A. H., Zhu, M., Wan, Z., Cho, J.-H., Kamhoua, C. A., & Singh, M. P. (2022). Honeypot-Based Cyber Deception Against Malicious Reconnaissance via Hypergame Theory. 2022 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM 2022), pp. 3393–3398. https://doi.org/10.1109/GLOBECOM48099.2022.10000813

Sabir, A., Lafontaine, E., & Das, A. (2022). Hey Alexa, Who Am I Talking to?: Analyzing Users' Perception and Awareness Regarding Third-party Alexa Skills. PROCEEDINGS OF THE 2022 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS (CHI' 22). https://doi.org/10.1145/3491102.3517510

Khan, H. A., Iqbal, H., Shahzad, M., & Jin, G. (2022). RMS: Removing Barriers to Analyze the Availability and Surge Pricing of Ridesharing Services. PROCEEDINGS OF THE 2022 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS (CHI' 22). https://doi.org/10.1145/3491102.3517464

Farhangi, A., Bian, J., Huang, A., Xiong, H., Wang, J., & Guo, Z. (2022). Time Series Prediction with Anomaly-Aware Recurrent Neural Networks. Proceedings of European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECMLPKDD). Presented at the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECMLPKDD), Grenoble.

Sung, H.-H., Xu, Y., Guan, J., Niu, W., Ren, B., Wang, Y., … Shen, X. (2022). Brief Industry Paper: Enabling Level-4 Autonomous Driving on a Single $1k Off-the-Shelf Card. 2022 IEEE 28TH REAL-TIME AND EMBEDDED TECHNOLOGY AND APPLICATIONS SYMPOSIUM (RTAS), pp. 297–300. https://doi.org/10.1109/RTAS54340.2022.00032

Gaweda, A. M., & Lynch, C. F. (2022). Exploration of theWeek-by-Week ICAP Transitions by Students. PROCEEDINGS OF THE 53RD ACM TECHNICAL SYMPOSIUM ON COMPUTER SCIENCE EDUCATION (SIGCSE 2022), VOL 2, pp. 1088–1088. https://doi.org/10.1145/3478432.3499068

Reghenzani, F., Guo, Z., Santinelli, L., & Fornaciari, W. (2022). A Mixed-Criticality Approach to Fault Tolerance: Integrating Schedulability and Failure Requirements. Presented at the 2022 IEEE 28th Real-Time and Embedded Technology and Applications Symposium (RTAS). https://doi.org/10.1109/rtas54340.2022.00011

Hossain, M. S. B., Choi, H., & Guo, Z. (2022). Estimating lower extremity joint angles during gait using reduced number of sensors count via deep learning (Y. Xie, X. Jiang, W. Tao, & D. Zeng, Eds.). https://doi.org/10.1117/12.2643786

Farhangi, A., Sui, N., Hua, N., Bai, H., Huang, A., & Guo, Z. (2022). Protoformer: Embedding Prototypes for Transformers. https://doi.org/10.1007/978-3-031-05933-9_35

Arafat, A. A., Vaidhun, S., Wilson, K. M., Sun, J., & Guo, Z. (2022). Response time analysis for dynamic priority scheduling in ROS2. Presented at the DAC '22: 59th ACM/IEEE Design Automation Conference. https://doi.org/10.1145/3489517.3530447

Farhangi, A., Huang, A., & Guo, Z. (2022). A Novel Deep Learning Model For Hotel Demand and Revenue Prediction amid COVID-19. Presented at the Hawaii International Conference on System Sciences. https://doi.org/10.24251/hicss.2022.217

Guo, Z., Vaidhun, S., Satinelli, L., Arefin, S., Wang, J., & Yang, K. (2022). Mixed-Criticality Scheduling Upon Permitted Failure Probability and Dynamic Priority. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 41(1), 62–75. https://doi.org/10.1109/TCAD.2021.3053232

Bian, J., Arafat, A. A., Xiong, H., Li, J., Li, L., Chen, H., … Guo, Z. (2022). Machine Learning in Real-Time Internet of Things (IoT) Systems: A Survey. IEEE Internet of Things Journal, 9(11), 8364–8386. https://doi.org/10.1109/JIOT.2022.3161050

Vaidhun, S., Guo, Z., Bian, J., Xiong, H., & Das, S. (2022). Dynamic Path Planning for Unmanned Aerial Vehicles Under Deadline and Sector Capacity Constraints. IEEE Transactions on Emerging Topics in Computational Intelligence, 6(4), 839–851. https://doi.org/10.1109/TETCI.2021.3122743

Hossain, M. S. B., Dranetz, J., Choi, H., & Guo, Z. (2022). DeepBBWAE-Net: A CNN-RNN Based Deep SuperLearner for Estimating Lower Extremity Sagittal Plane Joint Kinematics Using Shoe-Mounted IMU Sensors in Daily Living. IEEE Journal of Biomedical and Health Informatics, 26(8), 3906–3917. https://doi.org/10.1109/JBHI.2022.3165383

Robe, P., Kuttal, S. K., AuBuchon, J., & Hart, J. (2022). Pair programming conversations with agents vs. developers: challenges and opportunities for SE community. Presented at the ESEC/FSE '22: 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering. https://doi.org/10.1145/3540250.3549127

McAuliffe, A., Hart, J., & Kuttal, S. K. (2022). Evaluating Gender Bias in Pair Programming Conversations with an Agent. Presented at the 2022 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC). https://doi.org/10.1109/vl/hcc53370.2022.9833146

Robe, P., & Kuttal, S. K. (2022). Designing PairBuddy—A Conversational Agent for Pair Programming. ACM Transactions on Computer-Human Interaction, 29(4), 1–44. https://doi.org/10.1145/3498326

Kaur Kuttal, S., Sedhain, A., & Riethmeier, B. (2022). How Do Web-Active End-User Programmers Forage? In Coding Theory - Recent Advances, New Perspectives and Applications. https://doi.org/10.5772/intechopen.97765

Diwanji, V., Sedhain, A., Bodi, G., & Kuttal, S. K. (2022). Developers’ Foraging Behavior on Stack Overflow. Presented at the 2022 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC). https://doi.org/10.1109/vl/hcc53370.2022.9833123

Sedhain, A., & Kuttal, S. K. (2022). Information Seeking Behavior for Bugs on GitHub: An Information Foraging Perspective. Presented at the 2022 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC). https://doi.org/10.1109/vl/hcc53370.2022.9833144

Sedhain, A., Ragavan, S. S., McKinney, B., & Kuttal, S. K. (2022). Estimating Foraging Values and Costs in Stack Overflow. Presented at the 2022 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC). https://doi.org/10.1109/vl/hcc53370.2022.9833135

Hart, J., AuBuchon, J., & Kuttal, S. K. (2022). Feasibility of using YouTube Conversations for Pair Programming Intent Classification. Presented at the 2022 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC). https://doi.org/10.1109/vl/hcc53370.2022.9833139

Bin Hossain, M. S., Guo, Z., & Choi, H. (2022). Estimation of Hip, Knee, and Ankle Joint Moment Using a Single IMU Sensor on Foot Via Deep Learning. 2022 IEEE/ACM CONFERENCE ON CONNECTED HEALTH: APPLICATIONS, SYSTEMS AND ENGINEERING TECHNOLOGIES (CHASE 2022), pp. 25–33. https://doi.org/10.1145/3551455.3559605

Gai, N., Xue, K., Zhu, B., Yang, J., Liu, J., & He, D. (2022). An efficient data aggregation scheme with local differential privacy in smart grid. Digital Communications and Networks, 8(3), 333–342. https://doi.org/10.1016/j.dcan.2022.01.004

Li, Z., Xue, K., Jia, Q., Li, J., Wei, D. S. L., Liu, J., & Yu, N. (2022). A cluster-based networking approach for large-scale and wide-area quantum key agreement. Quantum Information Processing, 21(5). https://doi.org/10.1007/s11128-022-03528-3

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Jiang, S., Liu, J., Chen, J., Liu, Y., Wang, L., & Zhou, Y. (2022). Query Integrity Meets Blockchain: A Privacy-Preserving Verification Framework for Outsourced Encrypted Data. IEEE Transactions on Services Computing, 1–13. https://doi.org/10.1109/tsc.2022.3199111

Liu, J., Zhang, C., Xue, K., & Fang, Y. (2022). Privacy Preservation in Multi-Cloud Secure Data Fusion for Infectious-Disease Analysis. IEEE Transactions on Mobile Computing.

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Xue, K., Luo, X., Ma, Y., Li, J., Liu, J., & Wei, D. S. L. (2022). A Distributed Authentication Scheme Based on Smart Contract for Roaming Service in Mobile Vehicular Networks. IEEE Transactions on Vehicular Technology.

Chen, L., Xue, K., Li, J., Yu, N., Li, R., Liu, J., … Lu, J. (2022). A Heuristic Remote Entanglement Distribution Algorithm on Memory-Limited Quantum Paths. IEEE TRANSACTIONS ON COMMUNICATIONS, 70(11), 7491–7504. https://doi.org/10.1109/TCOMM.2022.3205683

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Castro, F., Suh, S., E, J. L., Naowaprateep, W., & Shi, Y. (2022, March). Developing Comic-based Learning Toolkits for Teaching Computing to Elementary School Learners. https://doi.org/10.1145/3545947.3576272

Vandenberg, J., Min, W., Cateté, V., Boulden, D., & Mott, B. (2022, March). Promoting AI Education for Rural Middle Grades Students with Digital Game Design. https://doi.org/10.1145/3545947.3576333

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Ciortea, A., Zhu, X., Pu, C., & Singh, M. P. (2022, November). Introduction to the Special Issue on Multiagent Systems and Services in the Internet of Things. ACM TRANSACTIONS ON INTERNET TECHNOLOGY, Vol. 22. https://doi.org/10.1145/3584744

Miao, Z., Li, J., Calhoun, J. C., & Ge, R. (2022). BALA-CPD: BALanced and Asynchronous Distributed Tensor Decomposition. 2022 IEEE INTERNATIONAL CONFERENCE ON CLUSTER COMPUTING (CLUSTER 2022), pp. 440–450. https://doi.org/10.1109/CLUSTER51413.2022.00054

Yang, X., Zhao, Y., & Vatsavai, R. R. (2022). Deep Residual Network with Multi-Image Attention for Imputing Under Clouds in Satellite Imagery. 2022 26TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR), pp. 643–649. https://doi.org/10.1109/ICPR56361.2022.9956166

Bi, R., He, Q., Sun, J., Sun, Z., Guo, Z., Guan, N., & Tan, G. (2022). Response Time Analysis for Prioritized DAG Task with Mutually Exclusive Vertices. 2022 IEEE 43RD REAL-TIME SYSTEMS SYMPOSIUM (RTSS 2022), pp. 460–473. https://doi.org/10.1109/RTSS55097.2022.00046

Li, R., Guan, N., Jiang, X., Guo, Z., Dong, Z., & Lv, M. (2022). Worst-Case Time Disparity Analysis of Message Synchronization in ROS. 2022 IEEE 43RD REAL-TIME SYSTEMS SYMPOSIUM (RTSS 2022), pp. 40–52. https://doi.org/10.1109/RTSS55097.2022.00014

Basak, S. K., Neil, L., Reaves, B., & Williams, L. (2022). What are the Practices for Secret Management in Software Artifacts? 2022 IEEE SECURE DEVELOPMENT CONFERENCE (SECDEV 2022), pp. 69–76. https://doi.org/10.1109/SecDev53368.2022.00026

Cloude, E. B., Dever, D. A., Hahs-Vaughn, D. L., Emerson, A. J., Azevedo, R., & Lester, J. (2022). Affective Dynamics and Cognition During Game-Based Learning. IEEE TRANSACTIONS ON AFFECTIVE COMPUTING, 13(4), 1705–1717. https://doi.org/10.1109/TAFFC.2022.3210755

Tzeng, S.-T., Ajmeri, N., & Singh, M. P. (2022). FLEUR: Social Values Orientation for Robust Norm Emergence. COORDINATION, ORGANIZATIONS, INSTITUTIONS, NORMS, AND ETHICS FOR GOVERNANCE OF MULTI-AGENT SYSTEMS XV, Vol. 13549, pp. 185–200. https://doi.org/10.1007/978-3-031-20845-4_12

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Khan, U. M., Rigazio, L., & Shahzad, M. (2022). Contactless Monitoring of PPG Using Radar. PROCEEDINGS OF THE ACM ON INTERACTIVE MOBILE WEARABLE AND UBIQUITOUS TECHNOLOGIES-IMWUT, 6(3). https://doi.org/10.1145/3550330

Lin, Y., Tunde-Onadele, O., Gu, X., He, J., & Latapie, H. (2022). SHIL: Self-Supervised Hybrid Learning for Security Attack Detection in Containerized Applications. 2022 IEEE INTERNATIONAL CONFERENCE ON AUTONOMIC COMPUTING AND SELF-ORGANIZING SYSTEMS (ACSOS 2022), pp. 41–50. https://doi.org/10.1109/ACSOS55765.2022.00022

Huang, J.-H., Floyd, M. F., Tateosian, L. G., & Hipp, J. A. (2022). Exploring public values through Twitter data associated with urban parks pre- and post- COVID-19. LANDSCAPE AND URBAN PLANNING, 227. https://doi.org/10.1016/j.landurbplan.2022.104517

Niu, W., Guan, J., Shen, X., Wang, Y., Agrawal, G., & Ren, B. (2022). GCD(2) : A Globally Optimizing Compiler for Mapping DNNs to Mobile DSPs. 2022 55TH ANNUAL IEEE/ACM INTERNATIONAL SYMPOSIUM ON MICROARCHITECTURE (MICRO), pp. 512–529. https://doi.org/10.1109/MICRO56248.2022.00044

Carver, J. C., Heckman, S., & Sherriff, M. (2022). Training Computing Educators to Become Computing Education Researchers. PROCEEDINGS OF THE 53RD ACM TECHNICAL SYMPOSIUM ON COMPUTER SCIENCE EDUCATION (SIGCSE 2022), VOL 1, pp. 724–730. https://doi.org/10.1145/3478431.3499297

Ma, Y., Ruiz, J. M., Brown, T. D., Diaz, K.-A., Gaweda, A. M., Celepkolu, M., … Wiebe, E. (2022). It's Challenging but Doable: Lessons Learned from a Remote Collaborative Coding Camp for Elementary Students. PROCEEDINGS OF THE 53RD ACM TECHNICAL SYMPOSIUM ON COMPUTER SCIENCE EDUCATION (SIGCSE 2022), VOL 1, pp. 342–348. https://doi.org/10.1145/3478431.3499327

Wu, Z., Fan, X., & Harfoush, K. (2022). Measurement-Driven Flow Selection for Open vSwitch Offload. IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC 2022), pp. 3635–3640. https://doi.org/10.1109/ICC45855.2022.9838661

Gitinabard, N., Heckman, S., Barnes, T., & Lynch, C. (2022). Designing a Dashboard for Student Teamwork Analysis. PROCEEDINGS OF THE 53RD ACM TECHNICAL SYMPOSIUM ON COMPUTER SCIENCE EDUCATION (SIGCSE 2022), VOL 1, pp. 446–452. https://doi.org/10.1145/3478431.3499377

Gao, Z., Heckman, S., & Lynch, C. (2022). Who Uses Office Hours? A Comparison of In-Person and Virtual Office Hours Utilization. PROCEEDINGS OF THE 53RD ACM TECHNICAL SYMPOSIUM ON COMPUTER SCIENCE EDUCATION (SIGCSE 2022), VOL 1, pp. 300–306. https://doi.org/10.1145/3478431.3499334

Erickson, B., Heckman, S., & Lynch, C. F. (2022). Characterizing Student Development Progress: Validating Student Adherence to Project Milestones. PROCEEDINGS OF THE 53RD ACM TECHNICAL SYMPOSIUM ON COMPUTER SCIENCE EDUCATION (SIGCSE 2022), VOL 1, pp. 15–21. https://doi.org/10.1145/3478431.3499373

Presler-Marshall, K., Heckman, S., & Stolee, K. T. (2022). Identifying Struggling Teams in Software Engineering Courses ThroughWeekly Surveys. PROCEEDINGS OF THE 53RD ACM TECHNICAL SYMPOSIUM ON COMPUTER SCIENCE EDUCATION (SIGCSE 2022), VOL 1, pp. 126–132. https://doi.org/10.1145/3478431.3499367

Wang, W., Le Meur, A., Bobbadi, M., Akram, B., Barnes, T., Martens, C., & Price, T. (2022). Exploring Design Choices to Support Novices' Example Use During Creative Open-Ended Programming. PROCEEDINGS OF THE 53RD ACM TECHNICAL SYMPOSIUM ON COMPUTER SCIENCE EDUCATION (SIGCSE 2022), VOL 1, pp. 619–625. https://doi.org/10.1145/3478431.3499374

Catete, V., Isvik, A., & Hill, M. (2022). A Framework for Socially-Relevant Service-Learning Internship Experiences for High School Students. PROCEEDINGS OF THE 53RD ACM TECHNICAL SYMPOSIUM ON COMPUTER SCIENCE EDUCATION (SIGCSE 2022), VOL 1, pp. 815–821. https://doi.org/10.1145/3478431.3499355

Joshi, H. P., & Dutta, R. (2022). A Reinforcement Approach for Detecting P2P Botnet Communities in Dynamic Communication Graphs. IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC 2022), pp. 56–61. https://doi.org/10.1109/ICC45855.2022.9838876

Shi, Y., Chi, M., Barnes, T., & Price, T. W. (2022). Code-DKT: A Code-based Knowledge Tracing Model for Programming Tasks. ArXiv. https://doi.org/10.48550/arXiv.2206.03545

Sun, L., Xue, G., & Yu, R. (2022). TAFS: A Truthful Auction for IoT Application Offloading in Fog Computing Networks. IEEE Internet of Things Journal, 1–1. https://doi.org/10.1109/jiot.2022.3143101

Zhou, F., Yu, R., Li, Z., Gu, H., & Wang, X. (2022). FedAegis: Edge-Based Byzantine-Robust Federated Learning for Heterogeneous Data. 2022 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM 2022), pp. 3005–3010. https://doi.org/10.1109/GLOBECOM48099.2022.10000981

Wang, X., Gu, H., Li, Z., Zhou, F., Yu, R., & Yang, D. (2022). Why Riding the Lightning? Equilibrium Analysis for Payment Hub Pricing. IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC 2022), pp. 5409–5414. https://doi.org/10.1109/ICC45855.2022.9839171

Chaudhary, M. S., & Jhala, A. (2022). Computational Support for Trope Analysis of Textual Narratives. INTERACTIVE STORYTELLING, ICIDS 2022, Vol. 13762, pp. 529–540. https://doi.org/10.1007/978-3-031-22298-6_34

Ausin, M. S., Maniktala, M., Barnes, T., & Chi, M. (2022, November 28). The Impact of Batch Deep Reinforcement Learning on Student Performance: A Simple Act of Explanation Can Go A Long Way. INTERNATIONAL JOURNAL OF ARTIFICIAL INTELLIGENCE IN EDUCATION. https://doi.org/10.1007/s40593-022-00312-3

Zhang, J., Hutt, S., Ocumpaugh, J., Henderson, N., Goslen, A., Rowe, J. P., … Lester, J. (2022). Investigating Student Interest and Engagement in Game-Based Learning Environments. ARTIFICIAL INTELLIGENCE IN EDUCATION, PT I, Vol. 13355, pp. 711–716. https://doi.org/10.1007/978-3-031-11644-5_72

Goslen, A., Carpenter, D., Rowe, J. P., Henderson, N., Azevedo, R., & Lester, J. (2022). Leveraging Student Goal Setting for Real-Time Plan Recognition in Game-Based Learning. ARTIFICIAL INTELLIGENCE IN EDUCATION, PT I, Vol. 13355, pp. 78–89. https://doi.org/10.1007/978-3-031-11644-5_7

Abdelshiheed, M., Hostetter, J. W., Yang, Xi, Barnes, T., & Chi, M. (2022). Mixing Backward- with Forward-Chaining for Metacognitive Skill Acquisition and Transfer. ARTIFICIAL INTELLIGENCE IN EDUCATION, PT I, Vol. 13355, pp. 546–552. https://doi.org/10.1007/978-3-031-11644-5_47

Ju, S., Yang, Xi, Barnes, T., & Chi, M. (2022). Student-Tutor Mixed-Initiative Decision-Making Supported by Deep Reinforcement Learning. ARTIFICIAL INTELLIGENCE IN EDUCATION, PT I, Vol. 13355, pp. 440–452. https://doi.org/10.1007/978-3-031-11644-5_36

Kampik, T., Mansour, A., Boissier, O., Kirrane, S., Padget, J., Payne, T. R., … Zimmermann, A. (2022). Governance of Autonomous Agents on theWeb: Challenges and Opportunities. ACM TRANSACTIONS ON INTERNET TECHNOLOGY, 22(4). https://doi.org/10.1145/3507910

Daza, V., Haque, A., Scafuro, A., Zacharakis, A., & Zapico, A. (2022). Mutual Accountability Layer: Accountable Anonymity Within Accountable Trust. CYBER SECURITY, CRYPTOLOGY, AND MACHINE LEARNING, Vol. 13301, pp. 318–336. https://doi.org/10.1007/978-3-031-07689-3_24

Scafuro, A. (2022). Black-Box Anonymous Commit-and-Prove. SECURITY AND CRYPTOGRAPHY FOR NETWORKS (SCN 2022), Vol. 13409, pp. 591–614. https://doi.org/10.1007/978-3-031-14791-3_26

Fahid, F. M., Rowe, J. P., Spain, R. D., Goldberg, B. S., Pokorny, R., & Lester, J. (2022). Robust Adaptive Scaffolding with Inverse Reinforcement Learning-Based Reward Design. ARTIFICIAL INTELLIGENCE IN EDUCATION: POSTERS AND LATE BREAKING RESULTS, WORKSHOPS AND TUTORIALS, INDUSTRY AND INNOVATION TRACKS, PRACTITIONERS AND DOCTORAL CONSORTIUM, PT II, Vol. 13356, pp. 204–207. https://doi.org/10.1007/978-3-031-11647-6_35

Fahid, F. M., Acosta, H., Lee, S., Carpenter, D., Mott, B., Bae, H., … Lester, J. (2022). Multimodal Behavioral Disengagement Detection for Collaborative Game-Based Learning. ARTIFICIAL INTELLIGENCE IN EDUCATION: POSTERS AND LATE BREAKING RESULTS, WORKSHOPS AND TUTORIALS, INDUSTRY AND INNOVATION TRACKS, PRACTITIONERS AND DOCTORAL CONSORTIUM, PT II, Vol. 13356, pp. 218–221. https://doi.org/10.1007/978-3-031-11647-6_38

Isvik, A., Lytle, N., Catete, V., & Barnes, T. (2022, November 17). Characterizing High School Participants’ Motivations and Outcomes in a Service-Oriented Summer Internship. https://doi.org/10.1145/3564721.3564734

Park, K., Mott, B., Lee, S., Gupta, A., Jantaraweragul, K., Glazewski, K., … Lester, J. (2022). Investigating a visual interface for elementary students to formulate AI planning tasks. JOURNAL OF COMPUTER LANGUAGES, 73. https://doi.org/10.1016/j.cola.2022.101157

Gao, G., Khoshnevisan, F., & Chi, M. (2022). Reconstructing Missing EHRs Using Time-Aware Within- and Cross-Visit Information for Septic Shock Early Prediction. 2022 IEEE 10TH INTERNATIONAL CONFERENCE ON HEALTHCARE INFORMATICS (ICHI 2022), pp. 151–162. https://doi.org/10.1109/ICHI54592.2022.00034

Wu, R., Zhang, F., Guan, J., Zheng, Z., Du, X., & Shen, X. (2022). DREW: Efficient Winograd CNN Inference with Deep Reuse. PROCEEDINGS OF THE ACM WEB CONFERENCE 2022 (WWW'22), pp. 1807–1816. https://doi.org/10.1145/3485447.3511985

Jueckstock, J., Snyder, P., Sarker, S., Kapravelos, A., & Livshits, B. (2022). Measuring the Privacy vs. Compatibility Trade-off in Preventing Third-Party Stateful Tracking. PROCEEDINGS OF THE ACM WEB CONFERENCE 2022 (WWW'22), pp. 710–720. https://doi.org/10.1145/3485447.3512231

Iqbal, H., Khan, U. M., Khan, H. A., & Shahzad, M. (2022). Left or Right: A Peek into the Political Biases in Email Spam Filtering Algorithms During US Election 2020. PROCEEDINGS OF THE ACM WEB CONFERENCE 2022 (WWW'22), pp. 2491–2500. https://doi.org/10.1145/3485447.3512121

Di Napoli, E., Bientinesi, P., Li, J., & Uschmajew, A. (2022, September 23). Editorial: High-performance tensor computations in scientific computing and data science. FRONTIERS IN APPLIED MATHEMATICS AND STATISTICS, Vol. 8. https://doi.org/10.3389/fams.2022.1038885

Mushi, M., Joshi, H. P., Dutta, R., Guvenc, I., Sichitiu, M. L., Floyd, B., & Zajkowski, T. (2022). The AERPAW Experiment Workflow - Considerations for Designing Usage Models for a Computing-supported Physical Research Platform. IEEE INFOCOM 2022 - IEEE CONFERENCE ON COMPUTER COMMUNICATIONS WORKSHOPS (INFOCOM WKSHPS). https://doi.org/10.1109/INFOCOMWKSHPS54753.2022.9798061

Foster, M., Wu, T., Roberts, D. L., & Bozkurt, A. (2022). Preliminary Evaluation of a System with On-Body and Aerial Sensors for Monitoring Working Dogs. SENSORS, 22(19). https://doi.org/10.3390/s22197631

Cicek, N. M., Shen, X., & Ozturk, O. (2022). Energy Efficient Boosting of GEMM Accelerators for DNN via Reuse. ACM TRANSACTIONS ON DESIGN AUTOMATION OF ELECTRONIC SYSTEMS, 27(5). https://doi.org/10.1145/3503469

Zhang, H., & Mueller, F. (2022). CLAIRE: Enabling Continual Learning for Real-time Autonomous Driving with a Dual-head Architecture. 2022 IEEE 25TH INTERNATIONAL SYMPOSIUM ON REAL-TIME DISTRIBUTED COMPUTING (ISORC 2022), pp. 51–60. https://doi.org/10.1109/ISORC52572.2022.9812816

Samal, T., Dutta, R., Guvenc, I., Sichitiu, M. L., Floyd, B., & Zajkowski, T. (2022). Automating Operator Oversight in an Autonomous, Regulated, Safety-Critical Research Facility. 2022 31ST INTERNATIONAL CONFERENCE ON COMPUTER COMMUNICATIONS AND NETWORKS (ICCCN 2022). https://doi.org/10.1109/ICCCN54977.2022.9868858

Adina, P., & Shahzad, M. (2022). A Distributed & Lightweight Framework to Secure IoT Networks Against Network Layer Attacks. 2022 31ST INTERNATIONAL CONFERENCE ON COMPUTER COMMUNICATIONS AND NETWORKS (ICCCN 2022). https://doi.org/10.1109/ICCCN54977.2022.9868908

Tang, W., Chouzenoux, E., Pesquet, J.-C., & Krim, H. (2022). Deep transform and metric learning network: Wedding deep dictionary learning and neural network. NEUROCOMPUTING, 509, 244–256. https://doi.org/10.1016/j.neucom.2022.08.069

Yang, R., Zhu, D., Howard, L. E., Hoedt, A. D., Williams, S. B., Freedland, S. J., & Klaassen, Z. (2022). Identification of Patients With Metastatic Prostate Cancer With Natural Language Processing and Machine Learning. JCO Clinical Cancer Informatics. https://doi.org/10.1200/CCI.21.00071

Chen, J.-A., Sung, H.-H., Shen, X., Tallent, N., Barker, K., & Li, A. (2022). Bit-GraphBLAS: Bit-Level Optimizations of Matrix-Centric Graph Processing on GPU. 2022 IEEE 36TH INTERNATIONAL PARALLEL AND DISTRIBUTED PROCESSING SYMPOSIUM (IPDPS 2022), pp. 515–525. https://doi.org/10.1109/IPDPS53621.2022.00056

Behera, S., Wan, L., Mueller, F., Wolf, M., & Klasky, S. (2022). P-ckpt: Coordinated Prioritized Checkpointing. 2022 IEEE 36TH INTERNATIONAL PARALLEL AND DISTRIBUTED PROCESSING SYMPOSIUM (IPDPS 2022), pp. 436–446. https://doi.org/10.1109/IPDPS53621.2022.00049

Ottenbreit-Leftwich, A., Glazewski, K., Jeon, M., Jantaraweragul, K., Hmelo-Silver, C. E., Scribner, A., … Lester, J. (2022, September 14). Lessons Learned for AI Education with Elementary Students and Teachers. INTERNATIONAL JOURNAL OF ARTIFICIAL INTELLIGENCE IN EDUCATION. https://doi.org/10.1007/s40593-022-00304-3

Cui, J., Li, R., Lou, K., Liu, C., Xiao, Y., Jia, Q., … Zhang, R. (2022). Can Pre-class GitHub Contributions Predict Success by Student Teams? 2022 ACM/IEEE 44TH INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING: SOFTWARE ENGINEERING EDUCATION AND TRAINING (ICSE-SEET 2022), pp. 40–49. https://doi.org/10.1109/ICSE-SEET55299.2022.9794264

Potts, C. M., Savaliya, A., & Jhala, A. (2022). Leveraging Multiple Representations of Topic Models for Knowledge Discovery. IEEE ACCESS, 10, 104696–104705. https://doi.org/10.1109/ACCESS.2022.3210529

Xu, Y., Ye, C., Solihin, Y., & Shen, X. (2022). FFCCD: Fence-Free Crash-Consistent Concurrent Defragmentation for Persistent Memory. PROCEEDINGS OF THE 2022 THE 49TH ANNUAL INTERNATIONAL SYMPOSIUM ON COMPUTER ARCHITECTURE (ISCA '22), pp. 274–288. https://doi.org/10.1145/3470496.3527406

Subramani, K., Jueckstock, J., Kapravelos, A., & Perdisci, R. (2022). SoK: Workerounds - Categorizing Service Worker Attacks and Mitigations. 2022 IEEE 7TH EUROPEAN SYMPOSIUM ON SECURITY AND PRIVACY (EUROS&P 2022), pp. 555–571. https://doi.org/10.1109/EuroSP53844.2022.00041

Ajmani, D. K., Koishybayev, I., & Kapravelos, A. (2022). yoU aRe a Liar://A Unified Framework for Cross-Testing URL Parsers. 2022 43RD IEEE SYMPOSIUM ON SECURITY AND PRIVACY WORKSHOPS (SPW 2022), pp. 51–58. https://doi.org/10.1109/SPW54247.2022.9833883

Maeng, S. J., Guvenc, I., Sichitiu, M. L., Floyd, B., Dutta, R., Zajkowski, T., … Mushi, M. (2022). National Radio Dynamic Zone Concept with Autonomous Aerial and Ground Spectrum Sensors. 2022 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS WORKSHOPS (ICC WORKSHOPS), pp. 687–692. https://doi.org/10.1109/ICCWORKSHOPS53468.2022.9814648

Hou, P.-Y., Korn, D. R., Melo-Filho, C. C., Wright, D. R., Tropsha, A., & Chirkova, R. (2022). Compact Walks: Taming Knowledge-Graph Embeddings With Domain- and Task-Specific Pathways. PROCEEDINGS OF THE 2022 INTERNATIONAL CONFERENCE ON MANAGEMENT OF DATA (SIGMOD '22), pp. 458–469. https://doi.org/10.1145/3514221.3517903

Brady, C., Broll, B., Stein, G., Jean, D., Grover, S., Catete, V., … Ledeczi, A. (2022). Block-based abstractions and expansive services to make advanced computing concepts accessible to novices. JOURNAL OF COMPUTER LANGUAGES, 73. https://doi.org/10.1016/j.cola.2022.101156

Zahan, N., Zimmermann, T., Godefroid, P., Murphy, B., Maddila, C., & Williams, L. (2022). What are Weak Links in the npm Supply Chain? 2022 ACM/IEEE 44TH INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING: SOFTWARE ENGINEERING IN PRACTICE (ICSE-SEIP 2022), pp. 331–340. https://doi.org/10.1145/3510457.3513044

Majumder, S., Xia, T., Krishna, R., & Menzies, T. (2022). Methods for Stabilizing Models Across Large Samples of Projects (with case studies on Predicting Defect and Project Health). 2022 MINING SOFTWARE REPOSITORIES CONFERENCE (MSR 2022), pp. 566–578. https://doi.org/10.1145/3524842.3527934

Horton, E., & Parnin, C. (2022). Dozer: Migrating Shell Commands to Ansible Modules via Execution Profiling and Synthesis. 2022 ACM/IEEE 44TH INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING: SOFTWARE ENGINEERING IN PRACTICE (ICSE-SEIP 2022), pp. 147–148. https://doi.org/10.1145/3510457.3513060

Qiu, Z., Shao, S., Zhao, Q., Khan, H. A., Hui, X., & Jin, G. (2022). A Deep Study of the Effects and Fixes of Server-Side Request Races in Web Applications. 2022 MINING SOFTWARE REPOSITORIES CONFERENCE (MSR 2022), pp. 744–756. https://doi.org/10.1145/3524842.3528463

Yedida, R., & Menzies, T. (2022). How to Improve Deep Learning for Software Analytics (a case study with code smell detection). 2022 MINING SOFTWARE REPOSITORIES CONFERENCE (MSR 2022), pp. 156–166. https://doi.org/10.1145/3524842.3528458

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