Most cited computer science papers
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Preference Ranking Optimization for Human Alignment
Song, F., Yu, B., Li, M., Yu, H., Huang, F., Li, Y., & Wang, H. (2023) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 77
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Towards Data Poisoning Attacks in Crowd Sensing Systems
Miao, C., Li, Q., Xiao, H., Jiang, W., Huai, M., & Su, L. (2018) · Proceedings of the Eighteenth ACM International Symposium on Mobile Ad Hoc Networking and Computing
Mobile Crowdsensing and CrowdsourcingPrivacy-Preserving Technologies in Data
Cited by 77
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Trust Management in Cloud Computing: A Critical Review
Firdhous, M., Ghazali, O., & Hassan, S. (2012) · International Journal on Advances in ICT for Emerging Regions (ICTer)
Cloud Data Security SolutionsAccess Control and Trust
Cited by 77
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The answer is (not only) technological: Considering student data privacy in learning analytics
Prinsloo, P., Slade, S., & Khalil, M. (2022) · British Journal of Educational Technology
Online Learning and AnalyticsPrivacy-Preserving Technologies in Data
Cited by 77
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Diversity-Driven Exploration Strategy for Deep Reinforcement Learning
Hong, Z.-W., Shann, T.-Y., Su, S.-Y., Chang, Y.-H., & Lee, C.-Y. (2018) · arXiv
Reinforcement Learning in RoboticsArtificial Intelligence in Games
Cited by 77
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Automated conformance testing for JavaScript engines via deep compiler fuzzing
Ye, G., Tang, Z., Tan, S. H., Huang, S., Fang, D., Sun, X., Bian, L., Wang, H., & Wang, Z. (2021) · Proceedings of the 42nd ACM SIGPLAN International Conference on Programming Language Design and Implementation
Software Testing and Debugging TechniquesLogic, programming, and type systems
Cited by 77
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Optimizing quantum heuristics with meta-learning
Wilson, M., Stromswold, S., Wudarski, F., Hadfield, S., Tubman, N. M., & Rieffel, E. (2019) · arXiv
Quantum Computing Algorithms and ArchitectureMetaheuristic Optimization Algorithms Research
Cited by 77
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InFoBench: Evaluating Instruction Following Ability in Large Language Models
Qin, Y., Song, K., Hu, Y., Yao, W., Cho, S., Wang, X., Wu, X., Liu, F., Liu, P., & Yu, D. (2024) · Findings of the Association for Computational Linguistics ACL 2024
Topic ModelingNatural Language Processing Techniques
Cited by 77
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CEFL: Online Admission Control, Data Scheduling, and Accuracy Tuning for Cost-Efficient Federated Learning Across Edge Nodes
Zhou, Z., Yang, S., Pu, L., & Yu, S. (2020) · IEEE Internet of Things Journal
IoT and Edge/Fog ComputingPrivacy-Preserving Technologies in Data
Cited by 77
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An Integer-Only and Group-Vector Systolic Accelerator for Efficiently Mapping Vision Transformer on Edge
Huang, M., Luo, J., Ding, C., Wei, Z., Huang, S., & Yu, H. (2023) · IEEE Transactions on Circuits and Systems I: Regular Papers
Advanced Neural Network ApplicationsEmbedded Systems Design Techniques
Cited by 77
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Pseudo-Labeling and Confirmation Bias in Deep Semi-Supervised Learning
Arazo, E., Ortego, D., Albert, P., O'Connor, N. E., & McGuinness, K. (2020) · 2020 International Joint Conference on Neural Networks (IJCNN)
Machine Learning and AlgorithmsDomain Adaptation and Few-Shot Learning
Cited by 77
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An empirical investigation of practical log anomaly detection for online service systems
Zhao, N., Wang, H., Li, Z., Peng, X., Wang, G., Pan, Z., Wu, Y., Feng, Z., Wen, X., Zhang, W., et al. (2021) · Proceedings of the 29th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering
Software System Performance and ReliabilityAnomaly Detection Techniques and Applications
Cited by 77
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Contestability For Content Moderation
Vaccaro, K., Xiao, Z., Hamilton, K., & Karahalios, K. (2021) · Proceedings of the ACM on Human-Computer Interaction
Ethics and Social Impacts of AIHate Speech and Cyberbullying Detection
Cited by 77
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Automatic emotion recognition based on body movement analysis: a survey
Zacharatos, H., Gatzoulis, C., & Chrysanthou, Y. L. (2014) · IEEE Computer Graphics and Applications
Emotion and Mood RecognitionHuman Pose and Action Recognition
Cited by 77
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Data Quality Management in the Internet of Things
Zhang, L., Jeong, D., & Lee, S. (2021) · Sensors
Data Quality and ManagementMobile Crowdsensing and Crowdsourcing
Cited by 77
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A Survey on Psycho-Physiological Analysis & Measurement Methods in Multimodal Systems
Baig, M. Z., & Kavakli, M. (2019) · Multimodal Technologies and Interaction
Emotion and Mood RecognitionEEG and Brain-Computer Interfaces
Cited by 77
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Generative AI for self-adaptive systems: State of the art and research roadmap
Li, J., Zhang, M., Li, N., Weyns, D., Jin, Z., & Tei, K. (2024) · ACM Transactions on Autonomous and Adaptive Systems
Advanced Software Engineering MethodologiesAI-based Problem Solving and Planning
Cited by 77
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CS1-LLM: Integrating LLMs into CS1 Instruction
Vadaparty, A., Zingaro, D., Smith IV, D. H., Padala, M., Alvarado, C., Gorson Benario, J., & Porter, L. (2024) · Proceedings of the 2024 on Innovation and Technology in Computer Science Education V. 1
Teaching and Learning ProgrammingArtificial Intelligence in Education
Cited by 77
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A Review of the Application of Multi-modal Deep Learning in Medicine: Bibliometrics and Future Directions
Pei, X., Zuo, K., Li, Y., & Pang, Z. (2023) · International Journal of Computational Intelligence Systems
Multimodal Machine Learning ApplicationsArtificial Intelligence in Healthcare and Education
Cited by 77
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One Token to Fool LLM-as-a-Judge
Zhao, Y., Liu, H., Yu, D., Kung, S., Chen, M., Mi, H., & Yu, D. (2025) · arXiv
Adversarial Robustness in Machine LearningTopic Modeling
Cited by 77
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Variational Quantum Algorithm for Estimating the Quantum Fisher Information
Beckey, J. L., Cerezo, M., Sone, A., & Coles, P. J. (2020) · arXiv
Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography
Cited by 77
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The sky is not the limit: multitasking across GitHub projects
Vasilescu, B., Blincoe, K., Xuan, Q., Casalnuovo, C., Damian, D., Devanbu, P., & Filkov, V. (2016) · Proceedings of the 38th International Conference on Software Engineering
Software Engineering Techniques and PracticesSoftware Engineering Research
Cited by 77
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Frontier AI Regulation: Managing Emerging Risks to Public Safety
Anderljung, M., Barnhart, J., Korinek, A., Leung, J., O'Keefe, C., Whittlestone, J., Avin, S., Brundage, M., Bullock, J., Cass-Beggs, D., et al. (2023) · arXiv
Ethics and Social Impacts of AIDigitalization, Law, and Regulation
Cited by 77
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Zero Trust Architecture Empowered Attack Detection Framework to Secure 6G Edge Computing
Sedjelmaci, H., & Ansari, N. (2024) · IEEE Network
Network Security and Intrusion DetectionNetwork Packet Processing and Optimization
Cited by 77
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