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Ming Jin 0005
Person information
- affiliation: Monash University, Australia
Other persons with the same name
- Ming Jin — disambiguation page
- Ming Jin 0001
— Ningbo University, Faculty of Electrical Engineering and Computer Science, China (and 1 more)
- Ming Jin 0002
- Ming Jin 0003
- Ming Jin 0004
- Ming Jin 0006
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2020 – today
- 2024
- [j12]Yu Zheng
Graph spatiotemporal process for multivariate time series anomaly detection with missing values. Inf. Fusion 106: 102255 (2024) - [j11]Guangsi Shi, Daokun Zhang
Towards complex dynamic physics system simulation with graph neural ordinary equations. Neural Networks 176: 106341 (2024) - [j10]Kexin Zhang
Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress, and Prospects. IEEE Trans. Pattern Anal. Mach. Intell. 46(10): 6775-6794 (2024) - [j9]Ming Jin, Huan Yee Koh, Qingsong Wen, Daniele Zambon, Cesare Alippi, Geoffrey I. Webb, Irwin King, Shirui Pan:
A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 10466-10485 (2024) - [j8]Yizhen Zheng
Toward Graph Self-Supervised Learning With Contrastive Adjusted Zooming. IEEE Trans. Neural Networks Learn. Syst. 35(7): 8882-8896 (2024) - [j7]Yu Zheng
Correlation-Aware Spatial-Temporal Graph Learning for Multivariate Time-Series Anomaly Detection. IEEE Trans. Neural Networks Learn. Syst. 35(9): 11802-11816 (2024) - [c7]Shubao Zhao, Ming Jin, Zhaoxiang Hou, Chengyi Yang, Zengxiang Li, Qingsong Wen, Yi Wang:
HiMTM: Hierarchical Multi-Scale Masked Time Series Modeling with Self-Distillation for Long-Term Forecasting. CIKM 2024: 3352-3362 - [c6]Ming Jin, Shiyu Wang, Lintao Ma, Zhixuan Chu, James Y. Zhang, Xiaoming Shi, Pin-Yu Chen, Yuxuan Liang, Yuan-Fang Li, Shirui Pan, Qingsong Wen:
Time-LLM: Time Series Forecasting by Reprogramming Large Language Models. ICLR 2024 - [c5]Ming Jin, Yifan Zhang, Wei Chen, Kexin Zhang, Yuxuan Liang, Bin Yang, Jindong Wang, Shirui Pan, Qingsong Wen:
Position: What Can Large Language Models Tell Us about Time Series Analysis. ICML 2024 - [c4]Yuxuan Liang
Foundation Models for Time Series Analysis: A Tutorial and Survey. KDD 2024: 6555-6565 - [i23]Shubao Zhao
HiMTM: Hierarchical Multi-Scale Masked Time Series Modeling for Long-Term Forecasting. CoRR abs/2401.05012 (2024) - [i22]Yu Zheng
Graph Spatiotemporal Process for Multivariate Time Series Anomaly Detection with Missing Values. CoRR abs/2401.05800 (2024) - [i21]Ming Jin, Yifan Zhang, Wei Chen, Kexin Zhang, Yuxuan Liang, Bin Yang, Jindong Wang, Shirui Pan, Qingsong Wen
Position Paper: What Can Large Language Models Tell Us about Time Series Analysis. CoRR abs/2402.02713 (2024) - [i20]Jiaxi Hu, Yuehong Hu, Wei Chen, Ming Jin, Shirui Pan, Qingsong Wen
Attractor Memory for Long-Term Time Series Forecasting: A Chaos Perspective. CoRR abs/2402.11463 (2024) - [i19]Yuxuan Liang, Haomin Wen, Yuqi Nie, Yushan Jiang, Ming Jin, Dongjin Song, Shirui Pan, Qingsong Wen
Foundation Models for Time Series Analysis: A Tutorial and Survey. CoRR abs/2403.14735 (2024) - [i18]Yiyuan Yang, Ming Jin, Haomin Wen, Chaoli Zhang, Yuxuan Liang, Lintao Ma, Yi Wang, Chenghao Liu, Bin Yang, Zenglin Xu, Jiang Bian, Shirui Pan, Qingsong Wen
A Survey on Diffusion Models for Time Series and Spatio-Temporal Data. CoRR abs/2404.18886 (2024) - [i17]Dongyuan Li, Shiyin Tan, Ying Zhang, Ming Jin, Shirui Pan, Manabu Okumura, Renhe Jiang:
DyG-Mamba: Continuous State Space Modeling on Dynamic Graphs. CoRR abs/2408.06966 (2024) - [i16]Xinxing Zhou, Jiaqi Ye, Shubao Zhao, Ming Jin, Zhaoxiang Hou, Chengyi Yang, Zengxiang Li, Yanlong Wen, Xiaojie Yuan:
Towards Universal Large-Scale Foundational Model for Natural Gas Demand Forecasting. CoRR abs/2409.15794 (2024) - [i15]Xiaoming Shi, Shiyu Wang, Yuqi Nie, Dianqi Li, Zhou Ye, Qingsong Wen, Ming Jin:
Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts. CoRR abs/2409.16040 (2024) - 2023
- [j6]Yixin Liu, Ming Jin
Graph Self-Supervised Learning: A Survey. IEEE Trans. Knowl. Data Eng. 35(6): 5879-5900 (2023) - [j5]Ming Jin
Multivariate Time Series Forecasting With Dynamic Graph Neural ODEs. IEEE Trans. Knowl. Data Eng. 35(9): 9168-9180 (2023) - [j4]Yu Zheng
Generative and Contrastive Self-Supervised Learning for Graph Anomaly Detection. IEEE Trans. Knowl. Data Eng. 35(12): 12220-12233 (2023) - [i14]Bo Xiong, Mojtaba Nayyeri, Ming Jin, Yunjie He, Michael Cochez, Shirui Pan, Steffen Staab:
Geometric Relational Embeddings: A Survey. CoRR abs/2304.11949 (2023) - [i13]Ming Jin, Guangsi Shi, Yuan-Fang Li, Qingsong Wen, Bo Xiong, Tian Zhou, Shirui Pan:
How Expressive are Spectral-Temporal Graph Neural Networks for Time Series Forecasting? CoRR abs/2305.06587 (2023) - [i12]Guangsi Shi, Daokun Zhang, Ming Jin, Shirui Pan:
Towards Complex Dynamic Physics System Simulation with Graph Neural ODEs. CoRR abs/2305.12334 (2023) - [i11]Kexin Zhang, Qingsong Wen
Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress, and Prospects. CoRR abs/2306.10125 (2023) - [i10]Ming Jin, Huan Yee Koh, Qingsong Wen
A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection. CoRR abs/2307.03759 (2023) - [i9]Yu Zheng, Huan Yee Koh, Ming Jin, Lianhua Chi, Khoa Tran Phan, Shirui Pan, Yi-Ping Phoebe Chen
Correlation-aware Spatial-Temporal Graph Learning for Multivariate Time-series Anomaly Detection. CoRR abs/2307.08390 (2023) - [i8]Ming Jin, Shiyu Wang
Time-LLM: Time Series Forecasting by Reprogramming Large Language Models. CoRR abs/2310.01728 (2023) - [i7]Ming Jin, Qingsong Wen
Large Models for Time Series and Spatio-Temporal Data: A Survey and Outlook. CoRR abs/2310.10196 (2023) - 2022
- [c3]Ming Jin, Yuan-Fang Li, Shirui Pan:
Neural Temporal Walks: Motif-Aware Representation Learning on Continuous-Time Dynamic Graphs. NeurIPS 2022 - [i6]Yu Zheng, Ming Jin, Yixin Liu, Lianhua Chi, Khoa Tran Phan, Shirui Pan, Yi-Ping Phoebe Chen
From Unsupervised to Few-shot Graph Anomaly Detection: A Multi-scale Contrastive Learning Approach. CoRR abs/2202.05525 (2022) - [i5]Ming Jin, Yu Zheng, Yuan-Fang Li, Siheng Chen, Bin Yang, Shirui Pan:
Multivariate Time Series Forecasting with Dynamic Graph Neural ODEs. CoRR abs/2202.08408 (2022) - 2021
- [c2]Ming Jin, Yixin Liu, Yu Zheng
ANEMONE: Graph Anomaly Detection with Multi-Scale Contrastive Learning. CIKM 2021: 3122-3126 - [c1]Ming Jin, Yizhen Zheng, Yuan-Fang Li, Chen Gong, Chuan Zhou, Shirui Pan:
Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learning. IJCAI 2021: 1477-1483 - [i4]Yixin Liu, Shirui Pan, Ming Jin
Graph Self-Supervised Learning: A Survey. CoRR abs/2103.00111 (2021) - [i3]Ming Jin, Yizhen Zheng, Yuan-Fang Li, Chen Gong, Chuan Zhou, Shirui Pan:
Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learning. CoRR abs/2105.05682 (2021) - [i2]Yu Zheng, Ming Jin, Yixin Liu, Lianhua Chi, Khoa Tran Phan, Yi-Ping Phoebe Chen
Generative and Contrastive Self-Supervised Learning for Graph Anomaly Detection. CoRR abs/2108.09896 (2021) - [i1]Yizhen Zheng, Ming Jin, Shirui Pan, Yuan-Fang Li, Hao Peng, Ming Li, Zhao Li:
Towards Graph Self-Supervised Learning with Contrastive Adjusted Zooming. CoRR abs/2111.10698 (2021) - 2020
- [j3]Shigang Liu
Optimized Coefficient Vector and Sparse Representation-Based Classification Method for Face Recognition. IEEE Access 8: 8668-8674 (2020) - [j2]Ming Jin
Searching Correlated Patterns From Graph Streams. IEEE Access 8: 106690-106704 (2020)
2010 – 2019
- 2019
- [j1]Xi Xiong
A Clickthrough Rate Prediction Algorithm Based on Users' Behaviors. IEEE Access 7: 174782-174792 (2019)
Coauthor Index
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