Publications
Chapters
Garces, K, Xuan, J & Zuo, H 2024, 'Transformed Successor Features for Transfer Reinforcement Learning' in Lecture Notes in Computer Science, Springer Nature Singapore, pp. 298-309.
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Grant, D, Garcia, J & Raffe, W 2024, 'Leaving the NavMesh: An Ablative Analysis of Deep Reinforcement Learning for Complex Navigation in 3D Virtual Environments' in Lecture Notes in Computer Science, Springer Nature Singapore, pp. 286-297.
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Inan, D & Beydoun, G 2024, 'Disruption and Disaster Management' in Agent-based Computational Management Science.
Isaac, G, Nicholas, P, Paul, G, Pietroni, N, Vidal Calleja, T, Xie, M & Schork, T 2024, 'Automated Shotcrete: A More Sustainable Construction Technology' in Sustainable Engineering, Springer International Publishing, pp. 331-345.
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Laccone, F, Pietroni, N, Froli, M, Cignoni, P & Malomo, L 2024, 'Statics and Stability of Bending-Optimized Double-Layer Grid Shell' in Lecture Notes in Civil Engineering, Springer Nature Switzerland, pp. 569-578.
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Liu, X & Cao, Z 2024, 'Enhance Reading Comprehension from EEG-Based Brain-Computer Interface' in Lecture Notes in Computer Science, Springer Nature Singapore, pp. 545-555.
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Ou, L, Do, T, Tran, X-T, Leong, D, Chang, Y-C, Wang, Y-K & Lin, C-T 2024, 'Improving CCA Algorithms on SSVEP Classification with Reinforcement Learning Based Temporal Filtering' in Lecture Notes in Computer Science, Springer Nature Singapore, pp. 376-386.
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Pratten, DR & Mathieson, L 2024, 'Relational Expressions for Data Transformation and Computation' in Lecture Notes in Computer Science, Springer Nature Switzerland, pp. 241-255.
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Sharma, R, Saqib, M, Lin, CT & Blumenstein, M 2024, 'Maritime Surveillance Using Instance Segmentation Techniques' in Studies in Autonomic, Data-driven and Industrial Computing, Springer Nature Singapore, pp. 31-47.
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Tran, HV, McGregor, C & Kennedy, PJ 2024, 'Detecting Stress from Multivariate Time Series Data Using Topological Data Analysis' in Lecture Notes in Computer Science, Springer Nature Singapore, pp. 341-353.
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Wang, K, Lu, J, Liu, A & Zhang, G 2024, 'An Augmented Learning Approach for Multiple Data Streams Under Concept Drift' in Lecture Notes in Computer Science, Springer Nature Singapore, pp. 391-402.
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Wang, R, Zuo, H, Fang, Z & Lu, J 2024, 'Multiple Teacher Model for Continual Test-Time Domain Adaptation' in Lecture Notes in Computer Science, Springer Nature Singapore, pp. 304-314.
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Journal articles
Aboutorab, H, Hussain, OK, Saberi, M, Hussain, FK & Prior, D 2024, 'Adaptive identification of supply chain disruptions through reinforcement learning', Expert Systems with Applications, vol. 248, pp. 123477-123477.
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Adak, C, Chattopadhyay, S & Saqib, M 2024, 'Deep Analysis of Visual Product Reviews', IEEE Transactions on Emerging Topics in Computational Intelligence, pp. 1-6.
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Adhiatma, A, Hakim, A, Fachrunnisa, O & Hussain, FK 2024, 'The role of social media business and organizational resources for successful digital transformation', Journal of Media Business Studies, vol. 21, no. 1, pp. 23-50.
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Alshuaibi, EA, Hamdi, AM & Hussain, FK 2024, 'Volunteer Computing for fog scalability: A systematic literature review', Internet of Things, vol. 25, pp. 101072-101072.
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Bérubé, C, Nißen, M, Vinay, R, Geiger, A, Budig, T, Bhandari, A, Pe Benito, CR, Ibarcena, N, Pistolese, O, Li, P, Sawad, AB, Fleisch, E, Stettler, C, Hemsley, B, Berkovsky, S, Kowatsch, T & Kocaballi, AB 2024, 'Proactive behavior in voice assistants: A systematic review and conceptual model', Computers in Human Behavior Reports, pp. 100411-100411.
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Beydoun, G, Low, G, Gill, A, Moniruzzaman, M & Shen, J 2024, 'Tailoring ontology retrieval for supporting requirements analysis', Advanced Engineering Informatics, vol. 59, pp. 102231-102231.
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Cetindamar, D, Kitto, K, Wu, M, Zhang, Y, Abedin, B & Knight, S 2024, 'Explicating AI Literacy of Employees at Digital Workplaces', IEEE Transactions on Engineering Management, vol. 71, pp. 810-823.
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Cetindamar, D, Renando, C, Bliemel, M & Klerk, SD 2024, 'The Evolution of the Australian Start-up and Innovation Ecosystem: Mapping Policy Developments, Key Actors, Activities, and Artefacts', Science, Technology and Society, vol. 29, no. 1, pp. 13-33.
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Chen, H, Zhu, T, Liu, C, Yu, S & Zhou, W 2024, 'High-Frequency Matters: Attack and Defense for Image-Processing Model Watermarking', IEEE Transactions on Services Computing, pp. 1-15.
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Chen, H, Zhu, T, Zhang, T, Zhou, W & Yu, PS 2024, 'Privacy and Fairness in Federated Learning: On the Perspective of Tradeoff', ACM Computing Surveys, vol. 56, no. 2, pp. 1-37.
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Chen, Y, Hu, R, Li, Z, Yang, C, Wang, X, Long, G & Xu, G 2024, 'Exploring explicit and implicit graph learning for multivariate time series imputation', Engineering Applications of Artificial Intelligence, vol. 127, pp. 107217-107217.
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Cui, Z, Sun, X, Chen, H, Pan, L, Cui, L, Liu, S & Xu, G 2024, 'Dynamic Recommendation Based on Graph Diffusion and Ebbinghaus Curve', IEEE Transactions on Computational Social Systems, pp. 1-10.
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Dayioglu, M, Küskü, F & Cetindamar, D 2024, 'The Impact of Business Environmental Factors on Performance Through Strategic Agility and Business Model Innovation: An Analysis Based on Dynamic Capabilities Theory', IEEE Transactions on Engineering Management, vol. 71, pp. 3656-3670.
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Ding, W, Geng, Y, Huang, J, Ju, H, Wang, H & Lin, C-T 2024, 'MGRW-Transformer: Multigranularity Random Walk Transformer Model for Interpretable Learning', IEEE Transactions on Neural Networks and Learning Systems, pp. 1-15.
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Ding, W, Sun, Y, Li, M, Liu, J, Ju, H, Huang, J & Lin, C-T 2024, 'A Novel Spark-Based Attribute Reduction and Neighborhood Classification for Rough Evidence', IEEE Transactions on Cybernetics, vol. 54, no. 3, pp. 1470-1483.
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Dong, C, Weng, J, Li, M, Liu, J-N, Liu, Z, Cheng, Y & Yu, S 2024, 'Privacy-Preserving and Byzantine-Robust Federated Learning', IEEE Transactions on Dependable and Secure Computing, vol. 21, no. 2, pp. 889-904.
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Dong, Y, Liang, CJ, Chen, Y & Hua, J 2024, 'A visual modeling method for spatiotemporal and multidimensional features in epidemiological analysis: Applied COVID-19 aggregated datasets', Computational Visual Media, vol. 10, no. 1, pp. 161-186.
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Du, H, Liu, C, Liu, H, Ding, X & Huo, H 2024, 'An efficient federated learning framework for graph learning in hyperbolic space', Knowledge-Based Systems, vol. 289, pp. 111438-111438.
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Duan, W, Xuan, J, Qiao, M & Lu, J 2024, 'Graph Convolutional Neural Networks With Diverse Negative Samples via Decomposed Determinant Point Processes', IEEE Transactions on Neural Networks and Learning Systems, vol. PP, no. 99, pp. 1-12.
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Duong, TD, Li, Q & Xu, G 2024, 'Achieving counterfactual fairness with imperfect structural causal model', Expert Systems with Applications, vol. 240, pp. 122411-122411.
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Fan, Y, Xu, B, Zhang, L, Tan, G, Yu, S, Li, K-C & Zomaya, A 2024, 'psvCNN: A Zero-Knowledge CNN Prediction Integrity Verification Strategy', IEEE Transactions on Cloud Computing, pp. 1-11.
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Fang, Z, Lu, J & Zhang, G 2024, 'An Extremely Simple Algorithm for Source Domain Reconstruction', IEEE Transactions on Cybernetics, vol. 54, no. 3, pp. 1921-1933.
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Gao, S, Wang, X, Song, B, Liu, R, Yao, S, Zhou, W & Yu, S 2024, 'Exploiting Type I Adversarial Examples to Hide Data Information: A New Privacy-Preserving Approach', IEEE Transactions on Emerging Topics in Computational Intelligence, pp. 1-11.
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Gong, Z, Shen, L, Zhang, Y, Zhang, LY, Wang, J, Bai, G & Xiang, Y 2024, 'AgrAmplifier: Defending Federated Learning Against Poisoning Attacks Through Local Update Amplification', IEEE Transactions on Information Forensics and Security, vol. 19, pp. 1241-1250.
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Grochow, JA & Qiao, Y 2024, 'On p -Group Isomorphism: Search-to-Decision, Counting-to-Decision, and Nilpotency Class Reductions via Tensors', ACM Transactions on Computation Theory, vol. 16, no. 1, pp. 1-39.
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Guan, S, Yu, X, Huang, W, Fang, G & Lu, H 2024, 'DMMG: Dual Min-Max Games for Self-Supervised Skeleton-Based Action Recognition', IEEE Transactions on Image Processing, vol. 33, pp. 395-407.
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He, W-N, Huang, X-L, Xu, Z, Hu, F & Yu, S 2024, 'Robust Localization for Mobile Targets Along a Narrow Path With LoS/NLoS Interference', IEEE Internet of Things Journal, pp. 1-1.
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Hertrampf, T & Oberst, S 2024, 'Recurrence Rate spectrograms for the classification of nonlinear and noisy signals', Physica Scripta, vol. 99, no. 3, pp. 035223-035223.
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Hu, R, Wang, X, Chang, X, Zhang, Y, Hu, Y, Liu, X & Yu, S 2024, 'CStrCRL: Cross-view Contrastive Learning through Gated GCN with Strong Augmentations for Skeleton Recognition', IEEE Transactions on Circuits and Systems for Video Technology, pp. 1-1.
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Huang, K-C, Tseng, C-Y & Lin, C-T 2024, 'EEG Information Transfer Changes in Different Daily Fatigue Levels During Drowsy Driving', IEEE Open Journal of Engineering in Medicine and Biology, vol. 5, pp. 180-190.
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Huang, Y, Feng, B, Tian, A, Dong, P, Yu, S & Zhang, H 2024, 'An Efficient Differentiated Routing Scheme for MEO/LEO-Based Multi-Layer Satellite Networks', IEEE Transactions on Network Science and Engineering, vol. 11, no. 1, pp. 1026-1041.
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Huang, Y, Yang, G, Zhou, H, Dai, H, Yuan, D & Yu, S 2024, 'VPPFL: A verifiable privacy-preserving federated learning scheme against poisoning attacks', Computers & Security, vol. 136, pp. 103562-103562.
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Islam, MR, Akter, S, Islam, L, Razzak, I, Wang, X & Xu, G 2024, 'Strategies for evaluating visual analytics systems: A systematic review and new perspectives', Information Visualization, vol. 23, no. 1, pp. 84-101.
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Jahangoshai Rezaee, M, Abbaspour Onari, M & Saberi, M 2024, 'A data-driven decision support framework for DEA target setting: an explainable AI approach', Engineering Applications of Artificial Intelligence, vol. 127, pp. 107222-107222.
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Joshi, S, Sharma, M, Bartwal, S, Joshi, T & Prasad, M 2024, 'Critical challenges of integrating OPEX strategies with I4.0 technologies in manufacturing SMEs: a few pieces of evidence from developing economies', The TQM Journal, vol. 36, no. 1, pp. 108-138.
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Jozmaleki, M, Jahangoshai Rezaee, M & Saberi, M 2024, 'A Hybrid Semi-Supervised Approach for Estimating the Efficient and Optimal Level of Hospitals Outputs', Cybernetics and Systems, vol. 55, no. 2, pp. 585-613.
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Kedziora, DJ, Nguyen, T-D, Musial, K & Gabrys, B 2024, 'On taking advantage of opportunistic meta-knowledge to reduce configuration spaces for automated machine learning', Expert Systems with Applications, vol. 239, pp. 122359-122359.
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Laccone, F, Pietroni, N, Cignoni, P & Malomo, L 2024, 'Bending-Reinforced Grid Shells for Free-form Architectural Surfaces.', Comput. Aided Des., vol. 168, pp. 103670-103670.
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Leon-Castro, E, Blanco-Mesa, F, Hussain, W, Flores-Sosa, M & Perez-Arellano, LA 2024, 'Tax Revenue Measurement Using OWA Operators', Cybernetics and Systems, vol. 55, no. 1, pp. 230-244.
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Li, C, Li, P, Zhang, Y, Li, N, Si, Y, Li, F, Cao, Z, Chen, H, Chen, B, Yao, D & Xu, P 2024, 'Effective Emotion Recognition by Learning Discriminative Graph Topologies in EEG Brain Networks', IEEE Transactions on Neural Networks and Learning Systems, pp. 1-15.
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Li, H, Cai, Z, Wang, J, Tang, J, Ding, W, Lin, C-T & Shi, Y 2024, 'FedTP: Federated Learning by Transformer Personalization', IEEE Transactions on Neural Networks and Learning Systems, pp. 1-15.
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Li, H, Zhao, J, Huo, H, Fang, S, Chen, J, Yao, L & Hua, Y 2024, 'T3SRS: Tensor Train Transformer for compressing sequential recommender systems', Expert Systems with Applications, vol. 238, pp. 122260-122260.
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Li, K, Lu, J, Zuo, H & Zhang, G 2024, 'Multidomain Adaptation With Sample and Source Distillation', IEEE Transactions on Cybernetics, pp. 1-13.
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Li, P, Gao, X, Li, C, Yi, C, Huang, W, Si, Y, Li, F, Cao, Z, Tian, Y & Xu, P 2024, 'Granger Causal Inference Based on Dual Laplacian Distribution and Its Application to MI-BCI Classification', IEEE Transactions on Neural Networks and Learning Systems, pp. 1-15.
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Li, X, Gong, Y, Liu, W, Yin, Y, Zheng, Y & Nie, L 2024, 'Dual-track spatio-temporal learning for urban flow prediction with adaptive normalization', Artificial Intelligence, vol. 328, pp. 104065-104065.
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Li, Z, Chen, Y, Wang, X, Yao, L & Xu, G 2024, 'Multi-view GCN for loan default risk prediction', Neural Computing and Applications.
Li, Z, Lee, T-U, Pietroni, N, Snooks, R & Xie, YM 2024, 'Design and construction of catenary-ruled surfaces', Structures, vol. 59, pp. 105755-105755.
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Lin, A, Li, J, Xiang, Y, Bian, W & Prasad, M 2024, 'Normal Transformer: Extracting Surface Geometry from LiDAR Points Enhanced by Visual Semantics', IEEE Transactions on Intelligent Vehicles, pp. 1-11.
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Lin, C-T 2024, '2024 IEEE CIS Awards [Society Briefs]', IEEE Computational Intelligence Magazine, vol. 19, no. 1, pp. 9-12.
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Lin, C-T, Zhang, H, Ou, L, Chang, Y-C & Wang, Y-K 2024, 'Adaptive Trust Model for Multi-Agent Teaming Based on Reinforcement-Learning-Based Fusion', IEEE Transactions on Emerging Topics in Computational Intelligence, vol. 8, no. 1, pp. 229-239.
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Liu, C, Zhu, T, Zhao, Y, Zhang, J & Zhou, W 2024, 'Disentangling different levels of GAN fingerprints for task-specific forensics', Computer Standards & Interfaces, vol. 89, pp. 103825-103825.
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Liu, G, Zhang, W, Wang, X, King, S & Yu, S 2024, 'A Membership Inference and Adversarial Attack Defense Framework for Network Traffic Classifiers', IEEE Transactions on Artificial Intelligence, pp. 1-16.
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Liu, T, Lu, J, Yan, Z & Zhang, G 2024, 'Robust Gaussian Process Regression With Input Uncertainty: A PAC-Bayes Perspective', IEEE Transactions on Cybernetics, vol. 54, no. 2, pp. 962-973.
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Liu, Y, Lee, T-U, Javan, AR, Pietroni, N & Xie, YM 2024, 'Reducing the Number of Different Faces in Free-Form Surface Approximations Through Clustering and Optimization.', Comput. Aided Des., vol. 166, pp. 103633-103633.
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Liu, Z, Lu, J, Xuan, J & Zhang, G 2024, 'Deep Reinforcement Learning in Nonstationary Environments With Unknown Change Points', IEEE Transactions on Cybernetics, pp. 1-14.
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Liu, Z, Xiao, F, Lin, C-T & Cao, Z 2024, 'A Robust Evidential Multisource Data Fusion Approach Based on Cooperative Game Theory and Its Application in EEG', IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 54, no. 2, pp. 729-740.
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Ma, G, Lu, J & Zhang, G 2024, 'Multi-source Domain Adaptation with Interval-Valued Target Data via Fuzzy Neural Networks', IEEE Transactions on Fuzzy Systems, pp. 1-13.
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Ma, G, Lu, J, Liu, F, Fang, Z & Zhang, G 2024, 'Domain Adaptation with Interval-valued Observations: Theory and Algorithms', IEEE Transactions on Fuzzy Systems, pp. 1-13.
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Ma, G, Lu, J, Liu, F, Fang, Z & Zhang, G 2024, 'Multiclass Classification With Fuzzy-Feature Observations: Theory and Algorithms', IEEE Transactions on Cybernetics, vol. 54, no. 2, pp. 1048-1061.
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Mohammadi, M, Oberst, S & Halkon, BJ 2024, 'Application of Time Synchronous Averaging in Mitigating UAV Noise and Signal Loss for Continuous Scanning Laser Doppler Vibrometry', Journal of Physics: Conference Series, vol. 2698, no. 1, pp. 012005-012005.
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Mueller, FF, Lallemand, C, Reidsma, D, van den Hoven, E & Montoya, MF 2024, 'Report from Dagstuhl seminar 23292', Dagstuhl Reports, vol. 13, no. 7.
Nguyen, BM, Nguyen, T, Vu, Q-H, Tran, HH, Vo, H, Bao Son, D, Thanh Binh, HT, Yu, S & Wu, Z 2024, 'A Novel Nature-Inspired Algorithm for Optimal Task Scheduling in Fog–Cloud Blockchain System', IEEE Internet of Things Journal, vol. 11, no. 2, pp. 2043-2057.
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Oberst, S & Martin, R 2024, 'Feature-preserving synthesis of termite-mimetic spinodal nest morphology', iScience, vol. 27, no. 1, pp. 108674-108674.
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Ou, L, Chang, Y-C, Wang, Y-K & Lin, C-T 2024, 'Fuzzy Centered Explainable Network for Reinforcement Learning', IEEE Transactions on Fuzzy Systems, vol. 32, no. 1, pp. 203-213.
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Paeedeh, N, Pratama, M, Ma’sum, MA, Mayer, W, Cao, Z & Kowlczyk, R 2024, 'Cross-domain few-shot learning via adaptive transformer networks', Knowledge-Based Systems, vol. 288, pp. 111458-111458.
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Parsa, K, Hassall, M, Naderpour, M, Pourreza, M & Ramezani, F 2024, 'A New Alarm System Developing Approach Through Graph Modeling', IEEE Access, vol. 12, pp. 1608-1620.
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Shen, S, Cai, C, Li, Z, Shen, Y, Wu, G & Yu, S 2024, 'Deep Q-network-based heuristic intrusion detection against edge-based SIoT zero-day attacks', Applied Soft Computing, vol. 150, pp. 111080-111080.
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Shi, K, Peng, X, Lu, H, Zhu, Y & Niu, Z 2024, 'Multiple Knowledge-Enhanced Meteorological Social Briefing Generation', IEEE Transactions on Computational Social Systems, pp. 1-12.
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Shu, Y, Li, Q, Liu, L & Xu, G 2024, 'Semi-Supervised Adversarial Learning for Attribute-Aware Photo Aesthetic Assessment', IEEE Transactions on Multimedia, vol. 26, no. 99, pp. 4086-4096.
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Siva, S, Bressel, M, Sidhom, M, Sridharan, S, Vanneste, BGL, Davey, R, Montgomery, R, Ruben, J, Foroudi, F, Higgs, B, Lin, C, Raman, A, Hardcastle, N, Hofman, MS, De Abreu Lourenco, R, Shaw, M, Mancuso, P, Moon, D, Wong, L-M, Lawrentschuk, N, Wood, S, Brook, NR, Kron, T, Martin, J, Pryor, D, Chesson, B, Ali, M, Chander, S, Moore, A, Cook, O, Eade, T, Sharma, H, Ramanathan, M, Howe, K & Frewen, H 2024, 'Stereotactic ablative body radiotherapy for primary kidney cancer (TROG 15.03 FASTRACK II): a non-randomised phase 2 trial', The Lancet Oncology, vol. 25, no. 3, pp. 308-316.
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Skarding, J, Gabrys, B & Musial, K 2024, 'On the Effectiveness of Heterogeneous Ensembles Combining Graph Neural Networks and Heuristics for Dynamic Link Prediction', IEEE Transactions on Network Science and Engineering, pp. 1-19.
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Skarding, J, Hellmich, M, Gabrys, B & Musial, K 2024, 'Corrections to “A Robust Comparative Analysis of Graph Neural Networks on Dynamic Link Prediction”', IEEE Access, vol. 12, pp. 6912-6913.
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Sturnieks, DL, Hicks, C, Smith, N, Ratanapongleka, M, Menant, J, Turner, J, Lo, J, Chaplin, C, Garcia, J, Valenzuela, MJ, Delbaere, K, Herbert, RD, Sherrington, C, Toson, B & Lord, SR 2024, 'Exergame and cognitive training for preventing falls in community-dwelling older people: a randomized controlled trial', Nature Medicine, vol. 30, no. 1, pp. 98-105.
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Sun, H, Zhu, T, Li, J, Ji, S & Zhou, W 2024, 'Attribute-Based Membership Inference Attacks and Defenses on GANs', IEEE Transactions on Dependable and Secure Computing, pp. 1-18.
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Taghikhah, FR, Taghikhah, M, Marshall, JP & Voinov, A 2024, 'Navigating the community renewable energy landscape: An analytics-driven policy formulation', Applied Energy, vol. 362, pp. 123007-123007.
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Tao, X, Yan, S, Gong, X & Adak, C 2024, 'Learning Multiresolution Features for Unsupervised Anomaly Localization on Industrial Textured Surfaces', IEEE Transactions on Artificial Intelligence, vol. 5, no. 1, pp. 127-139.
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Tian, Z, Cui, L, Zhang, C, Tan, S, Yu, S & Tian, Y 2024, 'The Role of Class Information in Model Inversion Attacks against Image Deep Learning Classifiers', IEEE Transactions on Dependable and Secure Computing, pp. 1-14.
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Tian, Z, Vo, H, Zhang, C, Min, G & Yu, S 2024, 'An Asynchronous Multi-Task Semantic Communication Method', IEEE Network, vol. PP, no. 99, pp. 1-1.
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Tian, Z, Vo, H, Zhang, C, Min, G & Yu, S 2024, 'An Asynchronous Multi-Task Semantic Communication Method', IEEE Network.
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Wang, J, Wang, K, Li, Z, Lu, H, Jiang, H & Xing, Q 2024, 'A Multitask Integrated Deep-Learning Probabilistic Prediction for Load Forecasting', IEEE Transactions on Power Systems, vol. 39, no. 1, pp. 1240-1250.
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Wang, J, Yu, Y, Zeng, B & Lu, H 2024, 'Hybrid ultra-short-term PV power forecasting system for deterministic forecasting and uncertainty analysis', Energy, vol. 288, pp. 129898-129898.
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Wang, K, Xiong, L, Liu, A, Zhang, G & Lu, J 2024, 'A self-adaptive ensemble for user interest drift learning', Neurocomputing, vol. 577, pp. 127308-127308.
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Wang, M, Zhu, T, Zuo, X, Ye, D, Yu, S & Zhou, W 2024, 'Blockchain Empowered Multi-Agent Systems: Advancing IoT Security and Transaction Efficiency', IEEE Internet of Things Journal, pp. 1-1.
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Wang, M, Zhu, T, Zuo, X, Ye, D, Yu, S & Zhou, W 2024, 'Public and Private Blockchain Infusion: A Novel Approach to Federated Learning', IEEE Internet of Things Journal, pp. 1-1.
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Wang, S, Ko, RKL, Bai, G, Dong, N, Choi, T & Zhang, Y 2024, 'Evasion Attack and Defense On Machine Learning Models in Cyber-Physical Systems: A Survey', IEEE Communications Surveys & Tutorials, pp. 1-1.
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Wu, G, Chen, X, Gao, Z, Zhang, H, Yu, S & Shen, S 2024, 'Privacy-preserving offloading scheme in multi-access mobile edge computing based on MADRL', Journal of Parallel and Distributed Computing, vol. 183, pp. 104775-104775.
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Wu, G, Chen, X, Shen, Y, Xu, Z, Zhang, H, Shen, S & Yu, S 2024, 'Combining Lyapunov Optimization With Actor-Critic Networks for Privacy-Aware IIoT Computation Offloading', IEEE Internet of Things Journal, pp. 1-1.
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Wu, X, Lu, J, Yan, Z & Zhang, G 2024, 'Disentangling Stochastic PDE Dynamics for Unsupervised Video Prediction', IEEE Transactions on Neural Networks and Learning Systems, pp. 1-15.
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Wu, Y, Cao, J & Xu, G 2024, 'FASTER: A Dynamic Fairness-assurance Strategy for Session-based Recommender Systems', ACM Transactions on Information Systems, vol. 42, no. 1, pp. 1-26.
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Xiao, T, Halkon, B, Wang, S, Oberst, S & Qiu, X 2024, 'Refracto-vibrometry for active control of sound radiation through an opening', Journal of Sound and Vibration, vol. 577, pp. 118242-118242.
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Yang, C, Wang, X, Yao, L, Long, G & Xu, G 2024, 'Dyformer: A dynamic transformer-based architecture for multivariate time series classification', Information Sciences, vol. 656, pp. 119881-119881.
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Ye, D, Zhu, T, Gao, K & Zhou, W 2024, 'Defending Against Label-Only Attacks via Meta-Reinforcement Learning', IEEE Transactions on Information Forensics and Security, vol. 19, pp. 3295-3308.
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Yin, Y, Cheng, X, Shi, F, Liu, X, Huo, H & Chen, S 2024, 'High-Order Spatial Interactions Enhanced Lightweight Model for Optical Remote Sensing Image-Based Small Ship Detection', IEEE Transactions on Geoscience and Remote Sensing, vol. 62, pp. 1-16.
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Yu, S, Zhai, R, Shen, Y, Wu, G, Zhang, H, Yu, S & Shen, S 2024, 'Deep Q-Network-Based Open-set Intrusion Detection Solution for Industrial Internet of Things', IEEE Internet of Things Journal, pp. 1-1.
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Zhang, C, Yu, S, Tian, Z & Yu, JJQ 2024, 'Generative Adversarial Networks: A Survey on Attack and Defense Perspective', ACM Computing Surveys, vol. 56, no. 4, pp. 1-35.
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Zhang, G, Liu, B, Zhu, T, Ding, M & Zhou, W 2024, 'PPFed: A Privacy-Preserving and Personalized Federated Learning Framework', IEEE Internet of Things Journal, pp. 1-1.
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Zhang, P, Chen, N, Shen, S, Yu, S, Wu, S & Kumar, N 2024, 'Future Quantum Communications and Networking: A Review and Vision', IEEE Wireless Communications, vol. 31, no. 1, pp. 141-148.
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Zhang, Y, Feng, B, Tian, A, Yu, S & Zhang, H 2024, 'Task Offloading Control and Customized Workload Scheduling in Multi-Layer Cloud Networks', IEEE Transactions on Network and Service Management, vol. 21, no. 1, pp. 714-728.
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Zhang, Y, Li, B, Liu, B & Chang, J 2024, 'Building PUF as a Service: Distributed Authentication and Recoverable Data Sharing With Multidimensional CRPs Security Protection', IEEE Internet of Things Journal, pp. 1-1.
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Zhou, S, Zhu, T, Ye, D, Yu, X & Zhou, W 2024, 'Boosting Model Inversion Attacks with Adversarial Examples', IEEE Transactions on Dependable and Secure Computing, pp. 1-18.
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Zhou, W, Zhu, T, Ye, D, Ren, W & Choo, K-KR 2024, 'A Concurrent Federated Reinforcement Learning for IoT Resources Allocation With Local Differential Privacy', IEEE Internet of Things Journal, vol. 11, no. 4, pp. 6537-6550.
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Zhou, Y, Wang, R, Liu, J, Wu, D, Yu, S & Wen, Y 2024, 'Exploring the Practicality of Differentially Private Federated Learning: A Local Iteration Tuning Approach', IEEE Transactions on Dependable and Secure Computing, pp. 1-15.
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Zhu, C, Ye, D, Huo, H, Zhou, W & Zhu, T 2024, 'A location-based advising method in teacher–student frameworks', Knowledge-Based Systems, vol. 285, pp. 111333-111333.
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Zhu, R, Zhang, W, Wang, P, Chen, J, Wang, J & Yu, S 2024, 'Energy-Efficient Graph Reinforced vNFC Deployment in Elastic Optical Inter-DC Networks', IEEE Transactions on Network Science and Engineering, vol. 11, no. 2, pp. 1591-1604.
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Zogan, H, Razzak, I, Jameel, S & Xu, G 2024, 'Hierarchical Convolutional Attention Network for Depression Detection on Social Media and Its Impact During Pandemic', IEEE Journal of Biomedical and Health Informatics, pp. 1-9.
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