Mingliang Ma
Orcid: 0000-0002-4800-6255
According to our database1,
Mingliang Ma authored at least 20 papers
between 2010 and 2026.
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Bibliography
2026
Can Adjusting Hyperparameters Lead to Green Deep Learning: An Empirical Study on Correlations between Hyperparameters and Energy Consumption of Deep Learning Models.
CoRR, March, 2026
Less Is More: Feature Engineering for Fairness and Performance of Machine Learning Software.
ACM Trans. Softw. Eng. Methodol., February, 2026
Revealing unseen differences: A change metric perspective on deep learning software lifecycle for fine-tuning data debugging.
Sci. Comput. Program., 2026
MutDBD: Mutation-based training set diagnosis for backdoor defense in deep neural networks.
Sci. Comput. Program., 2026
2025
Weighted Suspiciousness and Balanced Aggregation to Boost Spectrum-based Fault Localization of Deep Learning Models.
ACM Trans. Softw. Eng. Methodol., September, 2025
A High-Dimensional Gradient Inversion Attack Based on Feature Distillation in Federated Learning.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2025
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025
2024
J. Softw. Evol. Process., October, 2024
2023
Code-line-level Bugginess Identification: How Far have We Come, and How Far have We Yet to Go?
ACM Trans. Softw. Eng. Methodol., July, 2023
Proceedings of the 14th Asia-Pacific Symposium on Internetware, 2023
2022
Vulpedia: Detecting vulnerable ethereum smart contracts via abstracted vulnerability signatures.
J. Syst. Softw., 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
2021
COVID-ONE-hi: The One-stop Database for COVID-19-specific Humoral Immunity and Clinical Parameters.
Genom. Proteom. Bioinform., 2021
2020
Proceedings of the Integrating Research and Practice in Software Engineering, 2020
Cross-Contract Static Analysis for Detecting Practical Reentrancy Vulnerabilities in Smart Contracts.
Proceedings of the 35th IEEE/ACM International Conference on Automated Software Engineering, 2020
Clairvoyance: cross-contract static analysis for detecting practical reentrancy vulnerabilities in smart contracts.
Proceedings of the ICSE '20: 42nd International Conference on Software Engineering, Companion Volume, Seoul, South Korea, 27 June, 2020
2019
Doublade: Unknown Vulnerability Detection in Smart Contracts Via Abstract Signature Matching and Refined Detection Rules.
CoRR, 2019
Proceedings of the 2019 IEEE International Conference on Software Testing, 2019
2017
Proceedings of the Advanced Computational Methods in Energy, Power, Electric Vehicles, and Their Integration, 2017
2010
Proceedings of the Testbeds and Research Infrastructures. Development of Networks and Communities, 2010