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ORCIDYifeng Gao 0001
Person information
- affiliation: University of Texas Rio Grande Valley, Edinburg, TX, USA
Other persons with the same name
- Yifeng Gao — disambiguation page
- Yifeng Gao 0002
![[0000-0001-5034-1928]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0001-5034-1928")
— Fudan University, Shanghai, China - Yifeng Gao 0003 — Shanghai Jiao Tong University, Shanghai, China
- Yifeng Gao 0004 — STC, Chengdu, Sichuan, China
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2020 – today
- 2023
[c14]Li Zhang, Jiahao Ding, Yifeng Gao, Jessica Lin:
PMP: Privacy-Aware Matrix Profile against Sensitive Pattern Inference for Time Series. SDM 2023: 891-899- [i7]Li Zhang, Jiahao Ding, Yifeng Gao, Jessica Lin:
PMP: Privacy-Aware Matrix Profile against Sensitive Pattern Inference for Time Series. CoRR abs/2301.01838 (2023) - 2022
- [c13]Li Zhang, Yan Zhu, Yifeng Gao, Jessica Lin:
Robust Time Series Chain Discovery with Incremental Nearest Neighbors. ICDM 2022: 1311-1316 - [i6]Li Zhang, Yan Zhu, Yifeng Gao, Jessica Lin:
Robust Time Series Chain Discovery with Incremental Nearest Neighbors. CoRR abs/2211.02146 (2022) - 2021
- [j3]Hossein Sayadi, Yifeng Gao, Hosein Mohammadi Makrani, Jessica Lin, Paulo Cesar G. da Costa, Setareh Rafatirad, Houman Homayoun:
Towards Accurate Run-Time Hardware-Assisted Stealthy Malware Detection: A Lightweight, yet Effective Time Series CNN-Based Approach. Cryptogr. 5(4): 28 (2021) - [c12]Yifeng Gao, Hosein Mohammadi Makrani, Mehrdad Aliasgari, Amin Rezaei, Jessica Lin, Houman Homayoun, Hossein Sayadi:
Adaptive-HMD: Accurate and Cost-Efficient Machine Learning-Driven Malware Detection using Microarchitectural Events. IOLTS 2021: 1-7 - [c11]Honglu Jiang, Yifeng Gao, S. M. Sarwar, Luis GarzaPerez, Mahmudul Robin:
Differential Privacy in Privacy-Preserving Big Data and Learning: Challenge and Opportunity. SVCC 2021: 33-44 - [i5]Honglu Jiang, Yifeng Gao, S. M. Sarwar, Luis GarzaPerez, Mahmudul Robin:
Differential Privacy in Privacy-Preserving Big Data and Learning: Challenge and Opportunity. CoRR abs/2112.01704 (2021) - 2020
- [c10]Xuchao Zhang, Yifeng Gao, Jessica Lin, Chang-Tien Lu:
TapNet: Multivariate Time Series Classification with Attentional Prototypical Network. AAAI 2020: 6845-6852 - [c9]Yifeng Gao, Jessica Lin, Constantin Brif:
Ensemble Grammar Induction For Detecting Anomalies in Time Series. EDBT 2020: 85-96 - [c8]Hossein Sayadi, Yifeng Gao, Hosein Mohammadi Makrani, Tinoosh Mohsenin, Avesta Sasan, Setareh Rafatirad, Jessica Lin, Houman Homayoun:
StealthMiner: Specialized Time Series Machine Learning for Run-Time Stealthy Malware Detection based on Microarchitectural Features. ACM Great Lakes Symposium on VLSI 2020: 175-180 - [c7]Li Zhang, Yifeng Gao, Jessica Lin:
Semantic Discord: Finding Unusual Local Patterns for Time Series. SDM 2020: 136-144 - [i4]Yifeng Gao, Jessica Lin, Constantin Brif:
Ensemble Grammar Induction For Detecting Anomalies in Time Series. CoRR abs/2001.11102 (2020) - [i3]Li Zhang, Yifeng Gao, Jessica Lin:
Semantic Discord: Finding Unusual Local Patterns for Time Series. CoRR abs/2001.11842 (2020)
2010 – 2019
- 2019
- [j2]Yifeng Gao, Jessica Lin:
HIME: discovering variable-length motifs in large-scale time series. Knowl. Inf. Syst. 61(1): 513-542 (2019) - [c6]Yifeng Gao, Jessica Lin:
Discovering Subdimensional Motifs of Different Lengths in Large-Scale Multivariate Time Series. ICDM 2019: 220-229 - [i2]Yifeng Gao, Jessica Lin:
Discovering Subdimensional Motifs of Different Lengths in Large-Scale Multivariate Time Series. CoRR abs/1911.09218 (2019) - 2018
- [j1]Yifeng Gao, Jessica Lin:
Exploring variable-length time series motifs in one hundred million length scale. Data Min. Knowl. Discov. 32(5): 1200-1228 (2018) - [i1]Yifeng Gao, Jessica Lin:
Efficient Discovery of Variable-length Time Series Motifs with Large Length Range in Million Scale Time Series. CoRR abs/1802.04883 (2018) - 2017
- [c5]Yifeng Gao, Jessica Lin, Huzefa Rangwala:
IterativE Grammar-Based Framework for Discovering Variable-Length Time Series Motifs. ICDM 2017: 111-116 - [c4]Yifeng Gao, Jessica Lin:
Efficient discovery of time series motifs with large length range in million scale time series. ICDM 2017: 1213-1222 - [c3]Yifeng Gao, Qingzhe Li, Xiaosheng Li, Jessica Lin, Huzefa Rangwala:
TrajViz: A Tool for Visualizing Patterns and Anomalies in Trajectory. ECML/PKDD (3) 2017: 428-431 - 2016
- [c2]Yifeng Gao, Jessica Lin, Huzefa Rangwala:
Iterative Grammar-Based Framework for Discovering Variable-Length Time Series Motifs. ICMLA 2016: 7-12 - 2015
- [c1]Xing Wang, Yifeng Gao, Jessica Lin, Huzefa Rangwala, Ranjeev Mittu:
A Machine Learning Approach to False Alarm Detection for Critical Arrhythmia Alarms. ICMLA 2015: 202-207
Coauthor Index
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