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ORCIDZhiyu Liang
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2020 – today
- 2024
[j9]Huaiyuan Liu, Donghua Yang, Xianzhang Liu, Xinglei Chen, Zhiyu Liang
, Hongzhi Wang, Yong Cui, Jun Gu:
TodyNet: Temporal dynamic graph neural network for multivariate time series classification. Inf. Sci. 677: 120914 (2024)- [j8]Zhiyu Liang, Chen Liang, Zheng Liang, Hongzhi Wang, Bo Zheng:
TimeCSL: Unsupervised Contrastive Learning of General Shapelets for Explorable Time Series Analysis. Proc. VLDB Endow. 17(12): 4489-4492 (2024) - [j7]Zhiyu Liang, Hongzhi Wang:
FedST: secure federated shapelet transformation for time series classification. VLDB J. 33(5): 1617-1641 (2024) - [c9]Zhiyu Liang, Yihao Dai, Bo Zheng, Hongzhi Wang:
Cnos-Connector: Enabling Seamless Connection with CnosDB to Facilitate Large-Scale Time-Series Data Management and Analytics. DASFAA (7) 2024: 452-456 - [c8]Zhiyu Liang, Tingting Zhang, Bo Zheng, Hongzhi Wang:
Towards Real-Time Data Ingestion for Industrial Internet of Things. DASFAA (7) 2024: 457-461 - [c7]Zhiyu Liang, Linhan Jia, Bo Zheng, Hongzhi Wang:
iMonitor: A Real-Time Monitoring Platform for Industrial Internet of Things. DASFAA (7) 2024: 462-465 - [c6]Huaiyuan Liu, Xianzhang Liu, Donghua Yang, Hongzhi Wang, Yingchi Long, Mengtong Ji, Dongjing Miao, Zhiyu Liang:
An Unsupervised Learning Framework Combined with Heuristics for the Maximum Minimal Cut Problem. KDD 2024: 1921-1932 - [c5]Zhiyu Liang, Chen Liang, Zheng Liang, Hongzhi Wang, Bo Zheng:
UniTS: A Universal Time Series Analysis Framework Powered by Self-Supervised Representation Learning. SIGMOD Conference Companion 2024: 480-483 - [i11]Zhiyu Liang, Chen Liang, Zheng Liang, Hongzhi Wang, Bo Zheng:
TimeCSL: Unsupervised Contrastive Learning of General Shapelets for Explorable Time Series Analysis. CoRR abs/2404.05057 (2024) - [i10]Huaiyuan Liu, Xianzhang Liu, Donghua Yang, Hongzhi Wang, Yingchi Long, Mengtong Ji, Dongjing Miao, Zhiyu Liang:
An Unsupervised Learning Framework Combined with Heuristics for the Maximum Minimal Cut Problem. CoRR abs/2408.08484 (2024) - 2023
- [j6]Jiae Kim, Yoonkyung Lee, Zhiyu Liang:
The Geometry of Nonlinear Embeddings in Kernel Discriminant Analysis. IEEE Trans. Pattern Anal. Mach. Intell. 45(4): 5203-5217 (2023) - [j5]Zhiyu Liang, Jianfeng Zhang, Chen Liang, Hongzhi Wang, Zheng Liang, Lujia Pan:
A Shapelet-based Framework for Unsupervised Multivariate Time Series Representation Learning. Proc. VLDB Endow. 17(3): 386-399 (2023) - [c4]Tianyu Mu, Hongzhi Wang, Shenghe Zheng, Zhiyu Liang, Chunnan Wang, Xinyue Shao, Zheng Liang:
TSC-AutoML: Meta-learning for Automatic Time Series Classification Algorithm Selection. ICDE 2023: 1032-1044 - [i9]Zhiyu Liang, Hongzhi Wang:
FedST: Federated Shapelet Transformation for Interpretable Time Series Classification. CoRR abs/2302.10631 (2023) - [i8]Zhiyu Liang, Chen Liang, Zheng Liang, Hongzhi Wang:
UniTS: A Universal Time Series Analysis Framework with Self-supervised Representation Learning. CoRR abs/2303.13804 (2023) - [i7]Huaiyuan Liu, Xianzhang Liu, Donghua Yang, Zhiyu Liang, Hongzhi Wang, Yong Cui, Jun Gu:
TodyNet: Temporal Dynamic Graph Neural Network for Multivariate Time Series Classification. CoRR abs/2304.05078 (2023) - [i6]Zhiyu Liang, Jianfeng Zhang, Chen Liang, Hongzhi Wang, Zheng Liang, Lujia Pan:
Contrastive Shapelet Learning for Unsupervised Multivariate Time Series Representation Learning. CoRR abs/2305.18888 (2023) - [i5]Chen Liang, Donghua Yang, Zhiyu Liang, Hongzhi Wang, Zheng Liang, Xiyang Zhang, Jianfeng Huang:
Unsupervised Multi-modal Feature Alignment for Time Series Representation Learning. CoRR abs/2312.05698 (2023) - 2022
- [j4]Zhiyu Liang, Hongzhi Wang:
FedTSC: A Secure Federated Learning System for Interpretable Time Series Classification. Proc. VLDB Endow. 15(12): 3686-3689 (2022) - 2021
- [j3]Zhiyu Liang, Hongzhi Wang:
Efficient class-specific shapelets learning for interpretable time series classification. Inf. Sci. 570: 428-450 (2021) - 2020
- [c3]Zhiyu Liang, Hongzhi Wang, Jijia Yang:
STRATEGY: A Flexible Job-Shop Scheduling System for Large-Scale Complex Products. DASFAA (3) 2020: 766-770 - [c2]Zhiyu Liang, Hongzhi Wang, Hao Zhang, Hengyu Guo:
GMDA: An Automatic Data Analysis System for Industrial Production. DASFAA (3) 2020: 780-784 - [i4]Jiae Kim, Yoonkyung Lee, Zhiyu Liang:
The Geometry of Nonlinear Embeddings in Kernel Discriminant Analysis. CoRR abs/2005.05546 (2020)
2010 – 2019
- 2019
- [j2]Sergei Alyamkin, Matthew Ardi, Alexander C. Berg, Achille Brighton, Bo Chen, Yiran Chen, Hsin-Pai Cheng, Zichen Fan, Chen Feng, Bo Fu, Kent Gauen, Abhinav Goel, Alexander Goncharenko, Xuyang Guo, Soonhoi Ha, Andrew Howard, Xiao Hu, Yuanjun Huang, Donghyun Kang, Jaeyoun Kim, Jong-gook Ko, Alexander Kondratyev, Junhyeok Lee, Seungjae Lee, Suwoong Lee, Zichao Li, Zhiyu Liang, Juzheng Liu, Xin Liu, Yang Lu, Yung-Hsiang Lu, Deeptanshu Malik, Hong Hanh Nguyen, Eunbyung Park, Denis Repin, Liang Shen, Tao Sheng, Fei Sun, David Svitov, George K. Thiruvathukal, Baiwu Zhang, Jingchi Zhang, Xiaopeng Zhang, Shaojie Zhuo:
Low-Power Computer Vision: Status, Challenges, and Opportunities. IEEE J. Emerg. Sel. Topics Circuits Syst. 9(2): 411-421 (2019) - [c1]Zhiyu Liang, Hongzhi Wang, Jianzhong Li, Hong Gao:
IMOptimizer: An Online Interactive Parameter Optimization System Based on Big Data. DASFAA (3) 2019: 581-584 - [i3]Chen Feng, Tao Sheng, Zhiyu Liang, Shaojie Zhuo, Xiaopeng Zhang, Liang Shen, Matthew Ardi, Alexander C. Berg, Yiran Chen, Bo Chen, Kent Gauen, Yung-Hsiang Lu:
Low Power Inference for On-Device Visual Recognition with a Quantization-Friendly Solution. CoRR abs/1903.06791 (2019) - [i2]Sergei Alyamkin, Matthew Ardi, Alexander C. Berg, Achille Brighton, Bo Chen, Yiran Chen, Hsin-Pai Cheng, Zichen Fan, Chen Feng, Bo Fu, Kent Gauen, Abhinav Goel, Alexander Goncharenko, Xuyang Guo, Soonhoi Ha, Andrew Howard, Xiao Hu, Yuanjun Huang, Donghyun Kang, Jaeyoun Kim, Jong-gook Ko, Alexander Kondratyev, Junhyeok Lee, Seungjae Lee, Suwoong Lee, Zichao Li, Zhiyu Liang, Juzheng Liu, Xin Liu, Yang Lu, Yung-Hsiang Lu, Deeptanshu Malik, Hong Hanh Nguyen, Eunbyung Park, Denis Repin, Liang Shen, Tao Sheng, Fei Sun, David Svitov, George K. Thiruvathukal, Baiwu Zhang, Jingchi Zhang, Xiaopeng Zhang, Shaojie Zhuo:
Low-Power Computer Vision: Status, Challenges, Opportunities. CoRR abs/1904.07714 (2019) - 2018
- [i1]Sergei Alyamkin, Matthew Ardi, Achille Brighton, Alexander C. Berg, Yiran Chen, Hsin-Pai Cheng, Bo Chen, Zichen Fan, Chen Feng, Bo Fu, Kent Gauen, Jongkook Go, Alexander Goncharenko, Xuyang Guo, Hong Hanh Nguyen, Andrew Howard, Yuanjun Huang, Donghyun Kang, Jaeyoun Kim, Alexander Kondratyev, Seungjae Lee, Suwoong Lee, Junhyeok Lee, Zhiyu Liang, Xin Liu, Juzheng Liu, Zichao Li, Yang Lu, Yung-Hsiang Lu, Deeptanshu Malik, Eunbyung Park, Denis Repin, Tao Sheng, Liang Shen, Fei Sun, David Svitov, George K. Thiruvathukal, Baiwu Zhang, Jingchi Zhang, Xiaopeng Zhang, Shaojie Zhuo:
2018 Low-Power Image Recognition Challenge. CoRR abs/1810.01732 (2018) - 2013
- [j1]Zhiyu Liang, Yoonkyung Lee:
Eigen-analysis of nonlinear PCA with polynomial kernels. Stat. Anal. Data Min. 6(6): 529-544 (2013)
Coauthor Index
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