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Jintao Huang
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2020 – today
- 2025
- [j26]Guangtai Wang
, Jintao Huang, Yiqiang Lai, Chi-Man Vong:
Dealing with partial labels by knowledge distillation. Pattern Recognit. 158: 110965 (2025) - 2024
- [j25]Wenbin Qian, Jinfei Ding, Yihui Li
Label disambiguation-based feature selection for partial label learning via fuzzy dependency and feature discernibility. Appl. Soft Comput. 161: 111692 (2024) - [j24]Gaosheng Wang, Peipei Liu, Jintao Huang
KnowCTI: Knowledge-based cyber threat intelligence entity and relation extraction. Comput. Secur. 141: 103824 (2024) - [j23]Wenbin Qian, Yinsong Xiong, Weiping Ding
Label correlations-based multi-label feature selection with label enhancement. Eng. Appl. Artif. Intell. 127(Part A): 107310 (2024) - [j22]Xiwen Lu, Wenbin Qian, Shiming Dai, Jintao Huang:
Label distribution feature selection based on hierarchical structure and neighborhood granularity. Inf. Fusion 112: 102588 (2024) - [j21]Guangtai Wang
Stream label distribution learning processing via broad learning system. Inf. Sci. 677: 120836 (2024) - [j20]Jinfei Ding, Wenbin Qian, Yihui Li
Partial label feature selection via label disambiguation and neighborhood mutual information. Inf. Sci. 680: 121163 (2024) - [j19]Wenbin Qian, Yanqiang Tu, Jintao Huang
Partial multi-label learning via robust feature selection and relevance fusion optimization. Knowl. Based Syst. 286: 111365 (2024) - [j18]Tiehu Li, Chaodong Guo, Wei Zhang, Jintao Huang, Jun Zeng, Jun-an Zhang
A low power low phase noise wide frequency range PLL. Microelectron. J. 154: 106441 (2024) - [j17]Wenbin Qian, Jiale Liu, Wenji Yang, Jintao Huang, Weiping Ding:
Partial label feature selection based on noisy manifold and label distribution. Pattern Recognit. 156: 110791 (2024) - [j16]Wenbin Qian
Confidence-Induced Granular Partial Label Feature Selection via Dependency and Similarity. IEEE Trans. Knowl. Data Eng. 36(11): 5797-5810 (2024) - [c12]Zhuo Zhang, Jintao Huang, Xiangjing Hu, Jingyuan Zhang, Yating Zhang, Hui Wang, Yue Yu, Qifan Wang, Lizhen Qu, Zenglin Xu:
Revisiting Data Reconstruction Attacks on Real-world Dataset for Federated Natural Language Understanding. LREC/COLING 2024: 14080-14091 - [c11]Fankang Xu, Wenbin Qian, Xingxing Cai, Wenhao Shu, Jintao Huang, Yiu-Ming Cheung, Weiping Ding:
Label Disambiguation-Based Feature Selection for Partial Multi-label Learning. ICPR (7) 2024: 265-279 - [c10]Jintao Huang
TaiE: Function Identification for Monolithic Firmware. ICPC 2024: 403-414 - [c9]Yichen Qian, Yongyi He, Rong Zhu, Jintao Huang, Zhijian Ma, Haibin Wang, Yaohua Wang, Xiuyu Sun, Defu Lian, Bolin Ding, Jingren Zhou:
UniDM: A Unified Framework for Data Manipulation with Large Language Models. MLSys 2024 - [c8]Jintao Huang
Miracle or Mirage? A Measurement Study of NFT Rug Pulls. SIGMETRICS/Performance (Abstracts) 2024: 87-88 - [c7]Jintao Huang
Unveiling the Paradox of NFT Prosperity. WWW 2024: 167-177 - [i9]Zhuo Zhang, Jingyuan Zhang, Jintao Huang, Lizhen Qu, Hongzhi Zhang, Zenglin Xu:
FedPIT: Towards Privacy-preserving and Few-shot Federated Instruction Tuning. CoRR abs/2403.06131 (2024) - [i8]Jintao Huang, Yiu-Ming Cheung:
Trustworthy Partial Label Learning with Out-of-distribution Detection. CoRR abs/2403.06681 (2024) - [i7]Yichen Qian, Yongyi He, Rong Zhu, Jintao Huang, Zhijian Ma, Haibin Wang, Yaohua Wang, Xiuyu Sun, Defu Lian, Bolin Ding, Jingren Zhou:
UniDM: A Unified Framework for Data Manipulation with Large Language Models. CoRR abs/2405.06510 (2024) - [i6]Yuze Zhao, Jintao Huang, Jinghan Hu, Xingjun Wang, Yunlin Mao, Daoze Zhang, Zeyinzi Jiang, Zhikai Wu, Baole Ai, Ang Wang, Wenmeng Zhou, Yingda Chen:
SWIFT:A Scalable lightWeight Infrastructure for Fine-Tuning. CoRR abs/2408.05517 (2024) - [i5]Yingda Chen, Xingjun Wang, Jintao Huang, Yunlin Mao, Daoze Zhang, Yuze Zhao:
Minimum Tuning to Unlock Long Output from LLMs with High Quality Data as the Key. CoRR abs/2410.10210 (2024) - 2023
- [j15]Yuguang Chen
Improved Long Short-Term Memory-Based Periodic Traffic Volume Prediction Method. IEEE Access 11: 103502-103510 (2023) - [j14]Wenbin Qian, Wenyong Ruan, Yihui Li
Granular ball-based label enhancement for dimensionality reduction in multi-label data. Appl. Intell. 53(20): 24008-24033 (2023) - [j13]Wenbin Qian, Jintao Huang
A survey on multi-label feature selection from perspectives of label fusion. Inf. Fusion 100: 101948 (2023) - [j12]Wenbin Qian, Fankang Xu, Jintao Huang
A novel granular ball computing-based fuzzy rough set for feature selection in label distribution learning. Knowl. Based Syst. 278: 110898 (2023) - [j11]Jintao Huang
Miracle or Mirage? A Measurement Study of NFT Rug Pulls. Proc. ACM Meas. Anal. Comput. Syst. 7(3): 51:1-51:25 (2023) - [j10]Jintao Huang
Online Label Distribution Learning Using Random Vector Functional-Link Network. IEEE Trans. Emerg. Top. Comput. Intell. 7(4): 1177-1190 (2023) - [j9]Jintao Huang
Multi-Label Feature Selection via Label Enhancement and Analytic Hierarchy Process. IEEE Trans. Emerg. Top. Comput. Intell. 7(5): 1377-1393 (2023) - [j8]Jintao Huang
Joint Label Enhancement and Label Distribution Learning via Stacked Graph Regularization-Based Polynomial Fuzzy Broad Learning System. IEEE Trans. Fuzzy Syst. 31(9): 3290-3304 (2023) - [j7]Jintao Huang
Accurate and Efficient Large-Scale Multi-Label Learning With Reduced Feature Broad Learning System Using Label Correlation. IEEE Trans. Neural Networks Learn. Syst. 34(12): 10240-10253 (2023) - [c6]Gaosheng Wang, Peipei Liu, Jintao Huang, Shuaizong Si, Hongsong Zhu, Limin Sun:
CSEDesc: CyberSecurity Event Detection with Event Description. ICANN (3) 2023: 26-38 - [c5]Ruoyu Jia
3D Positioning and Robot Assembly Method for Multi-plane Workpiece. RCAR 2023: 893-899 - [c4]Jintao Huang, Gaosheng Wang, Zhiqiang Shi, Fei Lv, Weidong Zhang, Shichao Lv:
SeHBPL: Behavioral Semantics-Based Patch Presence Test for Binaries. SETTA 2023: 92-111 - [i4]Houcheng Su, Jintao Huang, Daixian Liu, Rui Yan, Jiao Li, Chi-Man Vong
Graph based Label Enhancement for Multi-instance Multi-label learning. CoRR abs/2304.10705 (2023) - [i3]Jintao Huang, Ningyu He, Kai Ma, Jiang Xiao, Haoyu Wang:
A Deep Dive into NFT Rug Pulls. CoRR abs/2305.06108 (2023) - [i2]Siqi Liang, Jintao Huang, Dun Zeng, Junyuan Hong, Jiayu Zhou, Zenglin Xu:
FedNoisy: Federated Noisy Label Learning Benchmark. CoRR abs/2306.11650 (2023) - [i1]Kai Ma, Jintao Huang, Ningyu He, Zhuo Wang, Haoyu Wang:
SoK: On the Security of Non-Fungible Tokens. CoRR abs/2312.08000 (2023) - 2022
- [j6]Wenbin Qian, Ping Dong, Shiming Dai, Jintao Huang
Incomplete label distribution feature selection based on neighborhood-tolerance discrimination index. Appl. Soft Comput. 130: 109693 (2022) - [j5]Wenbin Qian, Qianzhi Ye, Yihui Li
Relevance-based label distribution feature selection via convex optimization. Inf. Sci. 607: 322-345 (2022) - [j4]Wenbin Qian, Ping Dong, Yinglong Wang, Shiming Dai, Jintao Huang
Local rough set-based feature selection for label distribution learning with incomplete labels. Int. J. Mach. Learn. Cybern. 13(8): 2345-2364 (2022) - [c3]Jiapeng Zhao, Zhongjin Liu, Xiaoling Zhang, Jintao Huang, Zhiqiang Shi, Shichao Lv, Hong Li, Limin Sun:
Gradient-Based Adversarial Attacks Against Malware Detection by Instruction Replacement. WASA (1) 2022: 603-612 - 2021
- [j3]Wenbin Qian, Jintao Huang
Label distribution feature selection for multi-label classification with rough set. Int. J. Approx. Reason. 128: 32-55 (2021) - [j2]Chuanzhen Xiong, Wenbin Qian, Yinglong Wang, Jintao Huang
Feature selection based on label distribution and fuzzy mutual information. Inf. Sci. 574: 297-319 (2021) - [c2]Jintao Huang, Xiaofeng Liao, Nankun Mu, Yunhang Zhu:
Limit Cycle of a Single-Neuron System and Its Circuitry Design. ICACI 2021: 74-79 - 2020
- [j1]Wenbin Qian, Jintao Huang
Mutual information-based label distribution feature selection for multi-label learning. Knowl. Based Syst. 195: 105684 (2020)
2010 – 2019
- 2019
- [c1]Jintao Huang
Cost-Sensitive Feature Selection Based on Label Significance and Positive Region. ICMLC 2019: 1-7
Coauthor Index
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