Jintao Huang

According to our database, Jintao Huang authored at least 45 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Dealing with partial labels by knowledge distillation.

Guangtai Wang, Jintao Huang, Yiqiang Lai, Chi-Man Vong

Pattern Recognit., 2025

2024

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

Wenbin Qian, Yihui Li, Qianzhi Ye, Shuyin Xia, Jintao Huang, Weiping Ding

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

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

Wenbin Qian, Yinsong Xiong, Weiping Ding, Jintao Huang, Chi-Man Vong

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

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

Wenbin Qian, Jiale Liu, Wenji Yang, Jintao Huang, Weiping Ding

Pattern Recognit., 2024

A low power low phase noise wide frequency range PLL.

Tiehu Li, Chaodong Guo, Wei Zhang, Jintao Huang, Jun Zeng, Jun-an Zhang

Microelectron. J., 2024

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

Wenbin Qian, Yanqiang Tu, Jintao Huang, Weiping Ding

Knowl. Based Syst., 2024

Stream label distribution learning processing via broad learning system.

Guangtai Wang, Jintao Huang, Chi-Man Vong

Inf. Sci., 2024

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

Jinfei Ding, Wenbin Qian, Yihui Li, Wenji Yang, Jintao Huang

Inf. Sci., 2024

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

Xiwen Lu, Wenbin Qian, Shiming Dai, Jintao Huang

Inf. Fusion, 2024

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

Yingda Chen, Xingjun Wang, Jintao Huang, Yunlin Mao, Daoze Zhang, Yuze Zhao

CoRR, 2024

SWIFT:A Scalable lightWeight Infrastructure for Fine-Tuning.

Yuze Zhao, Jintao Huang, Jinghan Hu, Xingjun Wang, Yunlin Mao, Daoze Zhang, Zeyinzi Jiang, Zhikai Wu, Baole Ai, Ang Wang, Wenmeng Zhou, Yingda Chen

CoRR, 2024

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

Jintao Huang, Yiu-Ming Cheung

CoRR, 2024

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

Zhuo Zhang, Jingyuan Zhang, Jintao Huang, Lizhen Qu, Hongzhi Zhang, Zenglin Xu

CoRR, 2024

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

Gaosheng Wang, Peipei Liu, Jintao Huang, Haoyu Bin, Xi Wang, Hongsong Zhu

Comput. Secur., 2024

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

Wenbin Qian, Jinfei Ding, Yihui Li, Jintao Huang

Appl. Soft Comput., 2024

Unveiling the Paradox of NFT Prosperity.

Jintao Huang, Pengcheng Xia, Jiefeng Li, Kai Ma, Gareth Tyson, Xiapu Luo, Lei Wu, Yajin Zhou, Wei Cai, Haoyu Wang

Proceedings of the ACM on Web Conference 2024, 2024

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

Yichen Qian, Yongyi He, Rong Zhu, Jintao Huang, Zhijian Ma, Haibin Wang, Yaohua Wang, Xiuyu Sun, Defu Lian, Bolin Ding, Jingren Zhou

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

TaiE: Function Identification for Monolithic Firmware.

Jintao Huang, Kai Yang, Gaosheng Wang, Zhiqiang Shi, Shichao Lv, Limin Sun

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

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

Fankang Xu, Wenbin Qian, Xingxing Cai, Wenhao Shu, Jintao Huang, Yiu-Ming Cheung, Weiping Ding

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

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

Zhuo Zhang, Jintao Huang, Xiangjing Hu, Jingyuan Zhang, Yating Zhang, Hui Wang, Yue Yu, Qifan Wang, Lizhen Qu, Zenglin Xu

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.

Jintao Huang, Chi-Man Vong, C. L. Philip Chen, Yimin Zhou

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

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

Jintao Huang, Ningyu He, Kai Ma, Jiang Xiao, Haoyu Wang

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

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

Wenbin Qian, Jintao Huang, Fankang Xu, Wenhao Shu, Weiping Ding

Inf. Fusion, December, 2023

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

Jintao Huang, Wenbin Qian, Chi-Man Vong, Weiping Ding, Wenhao Shu, Qin Huang

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

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

Wenbin Qian, Fankang Xu, Jintao Huang, Jin Qian

Knowl. Based Syst., October, 2023

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

Wenbin Qian, Wenyong Ruan, Yihui Li, Jintao Huang

Appl. Intell., October, 2023

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

Jintao Huang, Chi-Man Vong, Guangtai Wang, Wenbin Qian, Yimin Zhou, C. L. Philip Chen

IEEE Trans. Fuzzy Syst., September, 2023

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

Jintao Huang, Chi-Man Vong, Wenbin Qian, Qin Huang, Yimin Zhou

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

SoK: On the Security of Non-Fungible Tokens.

Kai Ma, Jintao Huang, Ningyu He, Zhuo Wang, Haoyu Wang

CoRR, 2023

FedNoisy: Federated Noisy Label Learning Benchmark.

Siqi Liang, Jintao Huang, Dun Zeng, Junyuan Hong, Jiayu Zhou, Zenglin Xu

CoRR, 2023

A Deep Dive into NFT Rug Pulls.

Jintao Huang, Ningyu He, Kai Ma, Jiang Xiao, Haoyu Wang

CoRR, 2023

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

Houcheng Su, Jintao Huang, Daixian Liu, Rui Yan, Jiao Li, Chi-Man Vong

CoRR, 2023

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

Yuguang Chen, Jincheng Guo, Hongbin Xu, Jintao Huang, Linyong Su

IEEE Access, 2023

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

Jintao Huang, Gaosheng Wang, Zhiqiang Shi, Fei Lv, Weidong Zhang, Shichao Lv

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

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

Ruoyu Jia, Kai Zhong, Jintao Huang, Xi Li, Ruifeng Li, Hua Luo, Zhongwei Li

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

CSEDesc: CyberSecurity Event Detection with Event Description.

Gaosheng Wang, Peipei Liu, Jintao Huang, Shuaizong Si, Hongsong Zhu, Limin Sun

Proceedings of the Artificial Neural Networks and Machine Learning, 2023

2022

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

Wenbin Qian, Ping Dong, Yinglong Wang, Shiming Dai, Jintao Huang

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

Relevance-based label distribution feature selection via convex optimization.

Wenbin Qian, Qianzhi Ye, Yihui Li, Jintao Huang, Shiming Dai

Inf. Sci., 2022

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

Wenbin Qian, Ping Dong, Shiming Dai, Jintao Huang, Yinglong Wang

Appl. Soft Comput., 2022

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

Jiapeng Zhao, Zhongjin Liu, Xiaoling Zhang, Jintao Huang, Zhiqiang Shi, Shichao Lv, Hong Li, Limin Sun

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

2021

Feature selection based on label distribution and fuzzy mutual information.

Chuanzhen Xiong, Wenbin Qian, Yinglong Wang, Jintao Huang

Inf. Sci., 2021

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

Wenbin Qian, Jintao Huang, Yinglong Wang, Yonghong Xie

Int. J. Approx. Reason., 2021

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

Jintao Huang, Xiaofeng Liao, Nankun Mu, Yunhang Zhu

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

2020

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

Wenbin Qian, Jintao Huang, Yinglong Wang, Wenhao Shu

Knowl. Based Syst., 2020

2019

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

Jintao Huang, Wenbin Qian, Binglong Wu, Yinglong Wang

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