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AMP-EBiLSTM: employing novel deep learning strategies for the accurate prediction of antimicrobial peptides
Published in Frontiers in genetics, 2023
This paper presents novel deep learning strategies for predicting antimicrobial peptides using enhanced bidirectional LSTM networks.
Recommended citation: Y Wang, L Wang, C Li, Y Pei, X Liu, Y Tian. (2023). "AMP-EBiLSTM: employing novel deep learning strategies for the accurate prediction of antimicrobial peptides." Frontiers in genetics. 14, 1232117.
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Virtual compiler is all you need for assembly code search
Published in Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (ACL), 2024
This work demonstrates that virtual compilers are sufficient for effective assembly code search tasks, achieving high accuracy without complex preprocessing.
Recommended citation: Z Gao, H Wang, Y Wang, C Zhang. (2024). "Virtual compiler is all you need for assembly code search." Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics.
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CALLEE: Recovering Call Graphs for Binaries with Transfer and Contrastive Learning
Published in IEEE Transactions on Dependable and Secure Computing, 2025
This paper presents a novel approach for recovering call graphs in binary analysis using transfer learning and contrastive learning techniques.
Recommended citation: W Zhu, Y Wang, Y Cui, C Zhang, X Han. (2025). "CALLEE: Recovering Call Graphs for Binaries with Transfer and Contrastive Learning." IEEE Transactions on Dependable and Secure Computing.
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DecompileBench: A Comprehensive Benchmark for Evaluating Decompilers in Real-World Scenarios
Published in arXiv preprint, 2025
DecompileBench provides a comprehensive benchmark suite for evaluating decompiler performance in realistic scenarios and use cases.
Recommended citation: Z Gao, Y Cui, H Wang, S Qin, Y Wang, B Zhang, C Zhang. (2025). "DecompileBench: A Comprehensive Benchmark for Evaluating Decompilers in Real-World Scenarios." arXiv preprint arXiv:2505.11340.
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PTC: Prefix Tuning CodeT5 for High-Quality Secure Network Measurement Script Generation
Published in 2025 55th Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN), 2025
This paper presents PTC, a method using prefix tuning of CodeT5 for generating high-quality secure network measurement scripts automatically.
Recommended citation: Y Wang, X Han. (2025). "PTC: Prefix Tuning CodeT5 for High-Quality Secure Network Measurement Script Generation." 2025 55th Annual IEEE/IFIP International Conference on Dependable Systems and Networks.
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BDLF-Qwen3: Enhanced Cross-Architecture Binary Function Similarity Detection Through Binary Dynamic Layer Fusion
Published in The Fortieth AAAI Conference on Artificial Intelligence (AAAI-26), 2026
BDLF-Qwen3 dynamically fuses multi-layer Qwen3-Embedding representations for cross-architecture binary similarity detection, outperforming existing methods at scale.
Recommended citation: Y Wang, J Zhou, X Han, C Zhang. (2026). "BDLF-Qwen3: Enhanced Cross-Architecture Binary Function Similarity Detection Through Binary Dynamic Layer Fusion." The Fortieth AAAI Conference on Artificial Intelligence (AAAI-26).
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