Ming Jin

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 23

Top Topics

Laplacian Matrix

Diffusion Models

Anomaly Detection

Top Venues

IEEE Trans. Knowl. Data Eng.

IEEE Trans. Neural Networks Learn. Syst.

Publications

Jiaxi Hu, Yuehong Hu, Wei Chen, Ming Jin, Shirui Pan, Qingsong Wen, Yuxuan Liang
Attractor Memory for Long-Term Time Series Forecasting: A Chaos Perspective. CoRR (2024)
Shubao Zhao, Ming Jin, Zhaoxiang Hou, Chengyi Yang, Zengxiang Li, Qingsong Wen, Yi Wang
HiMTM: Hierarchical Multi-Scale Masked Time Series Modeling for Long-Term Forecasting. CoRR (2024)
Guangsi Shi, Daokun Zhang, Ming Jin, Shirui Pan, Philip S. Yu
Towards complex dynamic physics system simulation with graph neural ordinary equations. Neural Networks 176 (2024)
Yu Zheng, Huan Yee Koh, Ming Jin, Lianhua Chi, Haishuai Wang, Khoa T. Phan, Yi-Ping Phoebe Chen, Shirui Pan, Wei Xiang
Graph Spatiotemporal Process for Multivariate Time Series Anomaly Detection with Missing Values. CoRR (2024)
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. KDD (2024)
Yu Zheng, Huan Yee Koh, Ming Jin, Lianhua Chi, Haishuai Wang, Khoa Tran Phan, Yi-Ping Phoebe Chen, Shirui Pan, Wei Xiang
Graph spatiotemporal process for multivariate time series anomaly detection with missing values. Inf. Fusion 106 (2024)
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 (2024)
Yizhen Zheng, Ming Jin, Shirui Pan, Yuan-Fang Li, Hao Peng, Ming Li, Zhao Li
Toward Graph Self-Supervised Learning With Contrastive Adjusted Zooming. IEEE Trans. Neural Networks Learn. Syst. 35 (7) (2024)
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)
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 (2024)
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 (2024)
Bo Xiong, Mojtaba Nayyeri, Ming Jin, Yunjie He, Michael Cochez, Shirui Pan, Steffen Staab
Geometric Relational Embeddings: A Survey. CoRR (2023)
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 (2023)
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. CoRR (2023)
Yu Zheng, Huan Yee Koh, Ming Jin, Lianhua Chi, Khoa T. Phan, Shirui Pan, Yi-Ping Phoebe Chen, Wei Xiang
Correlation-aware Spatial-Temporal Graph Learning for Multivariate Time-series Anomaly Detection. CoRR (2023)
Yixin Liu, Ming Jin, Shirui Pan, Chuan Zhou, Yu Zheng, Feng Xia, Philip S. Yu
Graph Self-Supervised Learning: A Survey. IEEE Trans. Knowl. Data Eng. 35 (6) (2023)
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. CoRR (2023)
Kexin Zhang, Qingsong Wen, Chaoli Zhang, Rongyao Cai, Ming Jin, Yong Liu, James Zhang, Yuxuan Liang, Guansong Pang, Dongjin Song, Shirui Pan
Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress, and Prospects. CoRR (2023)
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. IEEE Trans. Knowl. Data Eng. 35 (12) (2023)
Guangsi Shi, Daokun Zhang, Ming Jin, Shirui Pan
Towards Complex Dynamic Physics System Simulation with Graph Neural ODEs. CoRR (2023)
Ming Jin, Yu Zheng, Yuan-Fang Li, Siheng Chen, Bin Yang, Shirui Pan
Multivariate Time Series Forecasting With Dynamic Graph Neural ODEs. IEEE Trans. Knowl. Data Eng. 35 (9) (2023)
Ming Jin, Qingsong Wen, Yuxuan Liang, Chaoli Zhang, Siqiao Xue, Xue Wang, James Zhang, Yi Wang, Haifeng Chen, Xiaoli Li, Shirui Pan, Vincent S. Tseng, Yu Zheng, Lei Chen, Hui Xiong
Large Models for Time Series and Spatio-Temporal Data: A Survey and Outlook. CoRR (2023)
Ming Jin, Yuan-Fang Li, Shirui Pan
Neural Temporal Walks: Motif-Aware Representation Learning on Continuous-Time Dynamic Graphs. NeurIPS (2022)