Computer Science - 2022

Yu, R., Dutta, R., & Liu, J. (2022). On Topology Design for the Quantum Internet. IEEE NETWORK, 36(5), 64–70. https://doi.org/10.1109/MNET.001.2200170

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

Enck, W. (2022). Reflections on a Decade of Mobile Security Research. PROCEEDINGS OF THE 15TH ACM CONFERENCE ON SECURITY AND PRIVACY IN WIRELESS AND MOBILE NETWORKS (WISEC '22), pp. 2–2. https://doi.org/10.1145/3507657.3528561

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

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

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

Christie, V. S. H., Kagal, L., Ricci, A., & Singh, M. P. (2022, November 1). Decentralized Systems. IEEE INTERNET COMPUTING, Vol. 26, pp. 5–6. https://doi.org/10.1109/MIC.2022.3216093

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

Tunde-Onadele, O., Lin, Y., Gu, X., & He, J. (2022). Understanding Software Security Vulnerabilities in Cloud Server Systems. 2022 IEEE INTERNATIONAL CONFERENCE ON CLOUD ENGINEERING (IC2E 2022), pp. 245–252. https://doi.org/10.1109/IC2E55432.2022.00033

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

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

Yu, R. (2022). FedAegis: Edge-Based Byzantine-Robust Federated Learning for Heterogeneous Data. 2022 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM). 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

Marwan, S., & Price, T. W. (2022). iSnap: Evolution and Evaluation of a Data-Driven Hint System for Block-based Programming. IEEE Transactions on Learning Technologies. https://doi.org/10.1109/TLT.2022.3223577

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 the Web: Challenges and Opportunities. ACM Transactions on Internet Technology. 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

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

Shu, R., Xia, T., Williams, L., & Menzies, T. (2022). Dazzle: Using Optimized Generative Adversarial Networks to Address Security Data Class Imbalance Issue. 2022 MINING SOFTWARE REPOSITORIES CONFERENCE (MSR 2022), pp. 144–155. https://doi.org/10.1145/3524842.3528437

Young, M., Nan, Z., & Shen, X. (2022). IDE Augmented with Human-Learning Inspired Natural Language Programming. 2022 ACM/IEEE 44TH INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING: COMPANION PROCEEDINGS (ICSE-COMPANION 2022), pp. 110–114. https://doi.org/10.1145/3510454.3516832

McDonald, B., & Mueller, F. (2022). T-SYS: Timed-Based System Security for Real-Time Kernels. 2022 13TH ACM/IEEE INTERNATIONAL CONFERENCE ON CYBER-PHYSICAL SYSTEMS (ICCPS 2022), pp. 247–258. https://doi.org/10.1109/ICCPS54341.2022.00029

Agrawal, R., Ajmeri, N., & Singh, M. P. (2022). Socially Intelligent Genetic Agents for the Emergence of Explicit Norms. Proceedings of the 31st International Joint Conference on Artificial Intelligence (IJCAI), 10–16. Retrieved from https://research-information.bris.ac.uk/en/publications/eb700f15-de9e-4bc3-b02f-1c52673db3ec

Murukannaiah, P. K., Ajmeri, N., & Singh, M. P. (2022). Enhancing Creativity as Innovation via Asynchronous Crowdwork. WebSci '22, 66–74. https://doi.org/10.1145/3501247.3531555

Woodgate, J. M., & Ajmeri, N. (2022). Macro Ethics for Governing Equitable Sociotechnical Systems. AAMAS '22, 1824–1828. https://doi.org/10.5555/3535850.3536118

Yedida, R., & Menzies, T. (2022). On the Value of Oversampling for Deep Learning in Software Defect Prediction. IEEE TRANSACTIONS ON SOFTWARE ENGINEERING, 48(8), 3103–3116. https://doi.org/10.1109/TSE.2021.3079841

Matsuda, N., Lv, D., & Zheng, G. (2022, August 31). Teaching How to Teach Promotes Learning by Teaching. INTERNATIONAL JOURNAL OF ARTIFICIAL INTELLIGENCE IN EDUCATION, Vol. 8. https://doi.org/10.1007/s40593-022-00306-1

Tran, K., Sakla, W., & Krim, H. (2022). SAR Self-Enhanced by Electro-optical Network (SARSEEN). SIGNAL PROCESSING, SENSOR/INFORMATION FUSION, AND TARGET RECOGNITION XXXI, Vol. 12122. https://doi.org/10.1117/12.2618829

Xu, Y., Ye, C., Shen, X., & Solihin, Y. (2022). Temporal Exposure Reduction Protection for Persistent Memory. 2022 IEEE INTERNATIONAL SYMPOSIUM ON HIGH-PERFORMANCE COMPUTER ARCHITECTURE (HPCA 2022), pp. 908–924. https://doi.org/10.1109/HPCA53966.2022.00071

He, J., Lin, Y., Gu, X., Yeh, C.-C. M., & Zhuang, Z. (2022). PerfSig: Extracting Performance Bug Signatures via Multi-modality Causal Analysis. 2022 ACM/IEEE 44TH INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING (ICSE 2022), pp. 1669–1680. https://doi.org/10.1145/3510003.3510110

Hunt, C., Yoder, S., Comment, T., Price, T., Akram, B., Battestilli, L., … Fisk, S. (2022). Gender, Self-Assessment, and Persistence in Computing: How gender differences in self-assessed ability reduce women’s persistence in computer science. Proceedings of the 2022 ACM Conference on International Computing Education Research V.1. https://doi.org/10.1145/3501385.3543963

Horwitz, P., Reichsman, F., Lord, T., Dorsey, C., Wiebe, E., & Lester, J. (2022, August 5). If We Build It, Will They Learn? An Analysis of Students' Understanding in an Interactive Game During and After a Research Project. TECHNOLOGY KNOWLEDGE AND LEARNING. https://doi.org/10.1007/s10758-022-09617-7

Elder, S., Zahan, N., Shu, R., Metro, M., Kozarev, V., Menzies, T., & Williams, L. (2022). Do I really need all this work to find vulnerabilities? An empirical case study comparing vulnerability detection techniques on a Java application. EMPIRICAL SOFTWARE ENGINEERING, 27(6). https://doi.org/10.1007/s10664-022-10179-6

Agrawal, A., Yang, X., Agrawal, R., Yedida, R., Shen, X., & Menzies, T. (2022). Simpler Hyperparameter Optimization for Software Analytics: Why, How, When? IEEE TRANSACTIONS ON SOFTWARE ENGINEERING, 48(8), 2939–2954. https://doi.org/10.1109/TSE.2021.3073242

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