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Ming Jin
Ming Jin
Assistant Professor, School of ICT, Griffith University
Dirección de correo verificada de griffith.edu.au - Página principal
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Citado por
Citado por
Año
Graph Self-Supervised Learning: A Survey
Y Liu, M Jin, S Pan, C Zhou, F Xia, PS Yu
IEEE Transactions on Knowledge and Data Engineering, 2022
6632022
Time-LLM: Time Series Forecasting by Reprogramming Large Language Models
M Jin, S Wang, L Ma, Z Chu, JY Zhang, X Shi, PY Chen, Y Liang, YF Li, ...
International Conference on Learning Representations (ICLR), 2024
5072024
A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection
M Jin, HY Koh, Q Wen, D Zambon, C Alippi, GI Webb, I King, S Pan
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024
2082024
Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learning
M Jin, Y Zheng, YF Li, C Gong, C Zhou, S Pan
International Joint Conference on Artificial Intelligence (IJCAI), 2021
1782021
Generative and Contrastive Self-Supervised Learning for Graph Anomaly Detection
Y Zheng, M Jin, Y Liu, L Chi, KT Phan, YPP Chen
IEEE Transactions on Knowledge and Data Engineering, 2021
1522021
Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress, and Prospects
K Zhang, Q Wen, C Zhang, R Cai, M Jin, Y Liu, J Zhang, Y Liang, G Pang, ...
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024
1482024
Multivariate Time Series Forecasting with Dynamic Graph Neural ODEs
M Jin, Y Zheng, YF Li, S Chen, B Yang, S Pan
IEEE Transactions on Knowledge and Data Engineering, 2022
1332022
ANEMONE: Graph Anomaly Detection with Multi-Scale Contrastive Learning
M Jin, Y Liu, Y Zheng, L Chi, YF Li, S Pan
Proceedings of the 30th ACM International Conference on Information …, 2021
1282021
Large Models for Time Series and Spatio-Temporal Data: A Survey and Outlook
M Jin, Q Wen, Y Liang, C Zhang, S Xue, X Wang, J Zhang, Y Wang, ...
arXiv preprint arXiv:2310.10196, 2023
1272023
Foundation models for time series analysis: A tutorial and survey
Y Liang, H Wen, Y Nie, Y Jiang, M Jin, D Song, S Pan, Q Wen
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 2024
1192024
Neural Temporal Walks: Motif-Aware Representation Learning on Continuous-Time Dynamic Graphs
M Jin, YF Li, S Pan
Advances in Neural Information Processing Systems (NeurIPS), 2022
942022
What Can Large Language Models Tell Us about Time Series Analysis
M Jin, Y Zhang, W Chen, K Zhang, Y Liang, B Yang, J Wang, S Pan, ...
International Conference on Machine Learning (ICML), 2024
70*2024
A survey on diffusion models for time series and spatio-temporal data
Y Yang, M Jin, H Wen, C Zhang, Y Liang, L Ma, Y Wang, C Liu, B Yang, ...
arXiv preprint arXiv:2404.18886, 2024
392024
Correlation-aware Spatial-Temporal Graph Learning for Multivariate Time-series Anomaly Detection
Y Zheng, HY Koh, M Jin, L Chi, KT Phan, S Pan, YPP Chen, W Xiang
IEEE Transactions on Neural Networks and Learning Systems, 2023
342023
Towards Graph Self-Supervised Learning with Contrastive Adjusted Zooming
Y Zheng, M Jin, S Pan, YF Li, H Peng, M Li, Z Li
IEEE Transactions on Neural Networks and Learning Systems, 2021
222021
From Unsupervised to Few-shot Graph Anomaly Detection: A Multi-scale Contrastive Learning Approach
Y Zheng, M Jin, Y Liu, L Chi, KT Phan, S Pan, YPP Chen
arXiv preprint arXiv:2202.05525, 2022
202022
Optimized Coefficient Vector and Sparse Representation-Based Classification Method for Face Recognition
S Liu, L Li, M Jin, S Hou, Y Peng
IEEE Access, 2019
182019
Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts
X Shi, S Wang, Y Nie, D Li, Z Ye, Q Wen, M Jin
International Conference on Learning Representations (ICLR; Spotlight), 2025
172025
WeaverBird: Empowering Financial Decision-Making with Large Language Model, Knowledge Base, and Search Engine
S Xue, F Zhou, Y Xu, M Jin, Q Wen, H Hao, Q Dai, C Jiang, H Zhao, S Xie, ...
arXiv preprint arXiv:2308.05361, 2023
162023
Geometric Relational Embeddings: A Survey
B Xiong, M Nayyeri, M Jin, Y He, M Cochez, S Pan, S Staab
arXiv preprint arXiv:2304.11949, 2023
142023
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–20