Jintao Huang

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

Bibliography

2025

Broad Multitask Learning System With Group Sparse Regularization.

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IEEE Trans. Neural Networks Learn. Syst., May, 2025

Exploiting the Potential Supervision Information of Clean Samples in Partial Label Learning.

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Guangtai Wang

Chi-Man Vong

Jintao Huang

CoRR, May, 2025

Cybersquatting in Web3: The Case of NFT.

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[DOI]

CoRR, April, 2025

Partial Multilabel Learning Using Noise-Tolerant Broad Learning System With Label Enhancement and Dimensionality Reduction.

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IEEE Trans. Neural Networks Learn. Syst., February, 2025

Dealing with partial labels by knowledge distillation.

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Pattern Recognit., 2025

Transformer-driven feature fusion network and visual feature coding for multi-label image classification.

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Pattern Recognit., 2025

A digital background calibration method for SAR ADC based on dual-layer feedforward neural network.

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Microelectron. J., 2025

Granular ball-based partial label feature selection via fuzzy correlation and redundancy.

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Inf. Sci., 2025

Fuzzy neighborhood-based partial label feature selection via label iterative disambiguation.

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Int. J. Approx. Reason., 2025

Feature selection via label enhancement and neighborhood rough set for multi-label data with unbalanced distribution.

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Appl. Soft Comput., 2025

Moye: A Wallbreaker for Monolithic Firmware.

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Proceedings of the 47th IEEE/ACM International Conference on Software Engineering, 2025

Cybersquatting in Web3: The Case of NFT.

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Proceedings of the 10th IEEE European Symposium on Security and Privacy, 2025

Sharper and Faster mean Better: Towards More Efficient Vision-Language Model for Hour-scale Long Video Understanding.

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Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

SWIFT: A Scalable Lightweight Infrastructure for Fine-Tuning.

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Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

GBRIP: Granular Ball Representation for Imbalanced Partial Label Learning.

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[DOI]

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Limit Cycle of a Single-Neuron System With Smooth Continuous and Binary-Value Activation Functions and Its Circuitry Design.

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[DOI]

Jintao Huang

Xiaofeng Liao

Yunhang Zhu

IEEE Trans. Neural Networks Learn. Syst., December, 2024

Confidence-Induced Granular Partial Label Feature Selection via Dependency and Similarity.

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[DOI]

IEEE Trans. Knowl. Data Eng., November, 2024

Label correlations-based multi-label feature selection with label enhancement.

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Eng. Appl. Artif. Intell., January, 2024

Partial label feature selection based on noisy manifold and label distribution.

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Pattern Recognit., 2024

A low power low phase noise wide frequency range PLL.

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[DOI]

Microelectron. J., 2024

Partial multi-label learning via robust feature selection and relevance fusion optimization.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2024

Stream label distribution learning processing via broad learning system.

[BibT_eX]

[DOI]

Guangtai Wang

Jintao Huang

Chi-Man Vong

Inf. Sci., 2024

Partial label feature selection via label disambiguation and neighborhood mutual information.

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[DOI]

Inf. Sci., 2024

Label distribution feature selection based on hierarchical structure and neighborhood granularity.

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Inf. Fusion, 2024

Minimum Tuning to Unlock Long Output from LLMs with High Quality Data as the Key.

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CoRR, 2024

SWIFT:A Scalable lightWeight Infrastructure for Fine-Tuning.

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CoRR, 2024

Trustworthy Partial Label Learning with Out-of-distribution Detection.

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[DOI]

Jintao Huang

Yiu-Ming Cheung

CoRR, 2024

FedPIT: Towards Privacy-preserving and Few-shot Federated Instruction Tuning.

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[DOI]

CoRR, 2024

KnowCTI: Knowledge-based cyber threat intelligence entity and relation extraction.

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[DOI]

Comput. Secur., 2024

Label disambiguation-based feature selection for partial label learning via fuzzy dependency and feature discernibility.

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Appl. Soft Comput., 2024

Unveiling the Paradox of NFT Prosperity.

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Proceedings of the ACM on Web Conference 2024, 2024

UniDM: A Unified Framework for Data Manipulation with Large Language Models.

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Proceedings of the Seventh Annual Conference on Machine Learning and Systems, 2024

TaiE: Function Identification for Monolithic Firmware.

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[DOI]

Proceedings of the 32nd IEEE/ACM International Conference on Program Comprehension, 2024

Label Disambiguation-Based Feature Selection for Partial Multi-label Learning.

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Proceedings of the Pattern Recognition - 27th International Conference, 2024

Financial-ICS: Identifying Peer Firms via LongBERT from 10K Reports.

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[DOI]

Jintao Huang

Proceedings of the Database Systems for Advanced Applications. DASFAA 2024 International Workshops, 2024

Revisiting Data Reconstruction Attacks on Real-world Dataset for Federated Natural Language Understanding.

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Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2023

Accurate and Efficient Large-Scale Multi-Label Learning With Reduced Feature Broad Learning System Using Label Correlation.

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IEEE Trans. Neural Networks Learn. Syst., December, 2023

Miracle or Mirage? A Measurement Study of NFT Rug Pulls.

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Proc. ACM Meas. Anal. Comput. Syst., December, 2023

A survey on multi-label feature selection from perspectives of label fusion.

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Inf. Fusion, December, 2023

Multi-Label Feature Selection via Label Enhancement and Analytic Hierarchy Process.

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IEEE Trans. Emerg. Top. Comput. Intell., October, 2023

A novel granular ball computing-based fuzzy rough set for feature selection in label distribution learning.

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Knowl. Based Syst., October, 2023

Granular ball-based label enhancement for dimensionality reduction in multi-label data.

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Appl. Intell., October, 2023

Joint Label Enhancement and Label Distribution Learning via Stacked Graph Regularization-Based Polynomial Fuzzy Broad Learning System.

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IEEE Trans. Fuzzy Syst., September, 2023

Online Label Distribution Learning Using Random Vector Functional-Link Network.

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IEEE Trans. Emerg. Top. Comput. Intell., August, 2023

SoK: On the Security of Non-Fungible Tokens.

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CoRR, 2023

FedNoisy: Federated Noisy Label Learning Benchmark.

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CoRR, 2023

A Deep Dive into NFT Rug Pulls.

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CoRR, 2023

Graph based Label Enhancement for Multi-instance Multi-label learning.

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CoRR, 2023

Improved Long Short-Term Memory-Based Periodic Traffic Volume Prediction Method.

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IEEE Access, 2023

SeHBPL: Behavioral Semantics-Based Patch Presence Test for Binaries.

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Proceedings of the Dependable Software Engineering. Theories, Tools, and Applications, 2023

3D Positioning and Robot Assembly Method for Multi-plane Workpiece.

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Proceedings of the IEEE International Conference on Real-time Computing and Robotics, 2023

CSEDesc: CyberSecurity Event Detection with Event Description.

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Proceedings of the Artificial Neural Networks and Machine Learning, 2023

2022

Local rough set-based feature selection for label distribution learning with incomplete labels.

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Int. J. Mach. Learn. Cybern., 2022

Relevance-based label distribution feature selection via convex optimization.

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Inf. Sci., 2022

Incomplete label distribution feature selection based on neighborhood-tolerance discrimination index.

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Appl. Soft Comput., 2022

Gradient-Based Adversarial Attacks Against Malware Detection by Instruction Replacement.

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Proceedings of the Wireless Algorithms, Systems, and Applications, 2022

2021

Feature selection based on label distribution and fuzzy mutual information.

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Inf. Sci., 2021

Label distribution feature selection for multi-label classification with rough set.

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[DOI]

Int. J. Approx. Reason., 2021

Limit Cycle of a Single-Neuron System and Its Circuitry Design.

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[DOI]

Proceedings of the 13th International Conference on Advanced Computational Intelligence, 2021

2020

Mutual information-based label distribution feature selection for multi-label learning.

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[DOI]

Knowl. Based Syst., 2020

2019

Cost-Sensitive Feature Selection Based on Label Significance and Positive Region.

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[DOI]

Proceedings of the 2019 International Conference on Machine Learning and Cybernetics, 2019

Jintao Huang

Bibliography

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