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ORCIDGengsen Huang
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2020 – today
- 2024
[j6]Yao Chen
, Wensheng Gan, Gengsen Huang, Yongdong Wu, Philip S. Yu:
Privacy-preserving federated discovery of DNA motifs with differential privacy. Expert Syst. Appl. 249: 123799 (2024)- [j5]Zefeng Chen, Wensheng Gan, Gengsen Huang, Yanxin Zheng, Philip S. Yu:
Towards utility-driven contiguous sequential patterns in uncertain multi-sequences. Knowl. Based Syst. 284: 111314 (2024) - [j4]Gengsen Huang, Wensheng Gan, Philip S. Yu:
TaSPM: Targeted Sequential Pattern Mining. ACM Trans. Knowl. Discov. Data 18(5): 114:1-114:18 (2024) - 2023
- [j3]Gengsen Huang, Wensheng Gan, Jian Weng, Philip S. Yu:
US-Rule: Discovering Utility-driven Sequential Rules. ACM Trans. Knowl. Discov. Data 17(1): 10:1-10:22 (2023) - [j2]Wensheng Gan, Kaixia Hu, Gengsen Huang, Wei-Che Chien, Han-Chieh Chao, Weizhi Meng:
Data Analytic for Healthcare Cyber Physical System. IEEE Trans. Netw. Sci. Eng. 10(5): 2490-2502 (2023) - [c7]Hong Lin, Wensheng Gan, Gengsen Huang, Philip S. Yu:
USER: Towards High-Utility Sequential Rules with Repetitive Items. IEEE Big Data 2023: 5977-5986 - [c6]Zefeng Chen, Wensheng Gan, Gengsen Huang, Yanxin Zheng, Philip S. Yu:
Towards Contiguous Sequences in Uncertain Data. DSAA 2023: 1-10 - [c5]Kaixia Hu, Wensheng Gan, Gengsen Huang, Guoting Chen, Jerry Chun-Wei Lin:
Incremental Targeted Mining in Sequences. DSAA 2023: 1-10 - [c4]Yao Chen, Shan Huang, Wensheng Gan, Gengsen Huang, Yongdong Wu:
Federated Learning for Metaverse: A Survey. WWW (Companion Volume) 2023: 1151-1160 - [i8]Yao Chen, Shan Huang, Wensheng Gan, Gengsen Huang, Yongdong Wu:
Federated Learning for Metaverse: A Survey. CoRR abs/2303.17987 (2023) - [i7]Yao Chen, Wensheng Gan, Gengsen Huang, Yongdong Wu, Philip S. Yu:
Privacy-Preserving Federated Discovery of DNA Motifs with Differential Privacy. CoRR abs/2304.01689 (2023) - [i6]Zefeng Chen, Wensheng Gan, Gengsen Huang, Yan Li, Zhenlian Qi:
Towards Top-K Non-Overlapping Sequential Patterns. CoRR abs/2304.11947 (2023) - [i5]Zefeng Chen, Wensheng Gan, Gengsen Huang, Zhenlian Qi, Yan Li, Philip S. Yu:
TALENT: Targeted Mining of Non-overlapping Sequential Patterns. CoRR abs/2306.06470 (2023) - 2022
- [j1]Gengsen Huang, Wensheng Gan, Shan Huang, Jiahui Chen:
Negative pattern discovery with individual support. Knowl. Based Syst. 251: 109194 (2022) - [c3]Gengsen Huang, Wensheng Gan, Long Li, Tianlong Gu, Jiahui Chen:
Flexibly Mining Better Patterns. IEEE Big Data 2022: 6212-6221 - [c2]Zhaowen Yin, Wensheng Gan, Gengsen Huang, Yongdong Wu, Philippe Fournier-Viger:
Constraint-based Sequential Rule Mining. DSAA 2022: 1-10 - [i4]Gengsen Huang, Wensheng Gan, Philip S. Yu:
TaSPM: Targeted Sequential Pattern Mining. CoRR abs/2202.13202 (2022) - [i3]Wensheng Gan, Gengsen Huang, Jian Weng, Tianlong Gu, Philip S. Yu:
Towards Target Sequential Rules. CoRR abs/2206.04728 (2022) - [i2]Gengsen Huang, Wensheng Gan, Philip S. Yu:
Towards Sequence Utility Maximization under Utility Occupancy Measure. CoRR abs/2212.10452 (2022) - 2021
- [c1]Gengsen Huang, Wensheng Gan, Shan Huang, Jiahui Chen, Chien-Ming Chen:
NSPIS: Mining Negative Sequential Patterns with Individual Support. IEEE BigData 2021: 5507-5516 - [i1]Gengsen Huang, Wensheng Gan, Jian Weng, Philip S. Yu:
US-Rule: Discovering Utility-driven Sequential Rules. CoRR abs/2111.15020 (2021)
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