A Clickthrough Rate Prediction Algorithm Based on Users' Behaviors. - Xi Xiong; Chuan Xie; Rongmei Zhao; Yuanyuan Li; Shenggen Ju; Ming Jin 005 (IEEE Access, 2019)

Searching Correlated Patterns From Graph Streams. - Ming Jin 005; Mei Li; Yu Zheng 013; Lianhua Chi (IEEE Access, 2020)

Optimized Coefficient Vector and Sparse Representation-Based Classification Method for Face Recognition. - Shigang Liu; Lingjun Li; Ming Jin 005; Sujuan Hou; Yali Peng (IEEE Access, 2020)

ANEMONE: Graph Anomaly Detection with Multi-Scale Contrastive Learning. - Ming Jin 005; Yixin Liu 001; Yu Zheng 013; Lianhua Chi; Yuan-Fang Li; Shirui Pan (CIKM, 2021)

Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learning. - Ming Jin 005; Yizhen Zheng; Yuan-Fang Li; Chen Gong 002; Chuan Zhou 001; Shirui Pan (IJCAI, 2021)

Graph Self-Supervised Learning: A Survey. - Yixin Liu 001; Shirui Pan; Ming Jin 005; Chuan Zhou 001; Feng Xia 001; Philip S. Yu (CoRR, 2021)

Towards Graph Self-Supervised Learning with Contrastive Adjusted Zooming. - Yizhen Zheng; Ming Jin 005; Shirui Pan; Yuan-Fang Li; Hao Peng 001; Ming Li 065; Zhao Li 007 (CoRR, 2021)

Neural Temporal Walks: Motif-Aware Representation Learning on Continuous-Time Dynamic Graphs. - Ming Jin 005; Yuan-Fang Li; Shirui Pan (NeurIPS, 2022)

From Unsupervised to Few-shot Graph Anomaly Detection: A Multi-scale Contrastive Learning Approach. - Yu Zheng 013; Ming Jin 005; Yixin Liu 001; Lianhua Chi; Khoa Tran Phan; Shirui Pan; Yi-Ping Phoebe Chen (CoRR, 2022)

Geometric Relational Embeddings: A Survey. - Bo Xiong; Mojtaba Nayyeri; Ming Jin 005; Yunjie He; Michael Cochez; Shirui Pan; Steffen Staab (CoRR, 2023)

How Expressive are Spectral-Temporal Graph Neural Networks for Time Series Forecasting? - Ming Jin 005; Guangsi Shi; Yuan-Fang Li; Qingsong Wen; Bo Xiong; Tian Zhou 004; Shirui Pan (CoRR, 2023)

Towards Complex Dynamic Physics System Simulation with Graph Neural ODEs. - Guangsi Shi; Daokun Zhang; Ming Jin 005; Shirui Pan (CoRR, 2023)

Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress, and Prospects. - Kexin Zhang 007; Qingsong Wen; Chaoli Zhang 001; Rongyao Cai; Ming Jin 005; Yong Liu 007; James Zhang; Yuxuan Liang; Guansong Pang; Dongjin Song; Shirui Pan (CoRR, 2023)

Large Models for Time Series and Spatio-Temporal Data: A Survey and Outlook. - Ming Jin 005; Qingsong Wen; Yuxuan Liang; Chaoli Zhang 001; Siqiao Xue; Xue Wang 010; James Zhang; Yi Wang 022; Haifeng Chen; Xiaoli Li 001; Shirui Pan; Vincent S. Tseng; et al. (CoRR, 2023)

Graph Self-Supervised Learning: A Survey. - Yixin Liu 001; Ming Jin 005; Shirui Pan; Chuan Zhou 001; Yu Zheng 013; Feng Xia 001; Philip S. Yu (IEEE Trans. Knowl. Data Eng., 2023)

Multivariate Time Series Forecasting With Dynamic Graph Neural ODEs. - Ming Jin 005; Yu Zheng 013; Yuan-Fang Li; Siheng Chen; Bin Yang 002; Shirui Pan (IEEE Trans. Knowl. Data Eng., 2023)

Generative and Contrastive Self-Supervised Learning for Graph Anomaly Detection. - Yu Zheng 013; Ming Jin 005; Yixin Liu 001; Lianhua Chi; Khoa Tran Phan; Yi-Ping Phoebe Chen (IEEE Trans. Knowl. Data Eng., 2023)

HiMTM: Hierarchical Multi-Scale Masked Time Series Modeling with Self-Distillation for Long-Term Forecasting. - Shubao Zhao; Ming Jin 005; Zhaoxiang Hou; Chengyi Yang; Zengxiang Li; Qingsong Wen; Yi Wang 022 (CIKM, 2024)

Time-LLM: Time Series Forecasting by Reprogramming Large Language Models. - Ming Jin 005; Shiyu Wang 001; Lintao Ma; Zhixuan Chu; James Y. Zhang; Xiaoming Shi 001; Pin-Yu Chen; Yuxuan Liang; Yuan-Fang Li; Shirui Pan; Qingsong Wen (ICLR, 2024)

Position: What Can Large Language Models Tell Us about Time Series Analysis. - Ming Jin 005; Yifan Zhang 004; Wei Chen 070; Kexin Zhang 007; Yuxuan Liang; Bin Yang 002; Jindong Wang 001; Shirui Pan; Qingsong Wen (ICML, 2024)

Foundation Models for Time Series Analysis: A Tutorial and Survey. - Yuxuan Liang; Haomin Wen; Yuqi Nie; Yushan Jiang; Ming Jin 005; Dongjin Song; Shirui Pan; Qingsong Wen (KDD, 2024)

Attractor Memory for Long-Term Time Series Forecasting: A Chaos Perspective. - Jiaxi Hu; Yuehong Hu; Wei Chen 070; Ming Jin 005; Shirui Pan; Qingsong Wen; Yuxuan Liang (NeurIPS, 2024)

HiMTM: Hierarchical Multi-Scale Masked Time Series Modeling for Long-Term Forecasting. - Shubao Zhao; Ming Jin 005; Zhaoxiang Hou; Chengyi Yang; Zengxiang Li; Qingsong Wen; Yi Wang 022 (CoRR, 2024)

Position Paper: What Can Large Language Models Tell Us about Time Series Analysis. - Ming Jin 005; Yifan Zhang 004; Wei Chen 070; Kexin Zhang 007; Yuxuan Liang; Bin Yang 002; Jindong Wang 001; Shirui Pan; Qingsong Wen (CoRR, 2024)

A Survey on Diffusion Models for Time Series and Spatio-Temporal Data. - Yiyuan Yang; Ming Jin 005; Haomin Wen; Chaoli Zhang 001; Yuxuan Liang; Lintao Ma; Yi Wang 022; Chenghao Liu; Bin Yang 002; Zenglin Xu; Jiang Bian 001; Shirui Pan; et al. (CoRR, 2024)

DyG-Mamba: Continuous State Space Modeling on Dynamic Graphs. - Dongyuan Li; Shiyin Tan; Ying Zhang 065; Ming Jin 005; Shirui Pan; Manabu Okumura; Renhe Jiang (CoRR, 2024)

Towards Universal Large-Scale Foundational Model for Natural Gas Demand Forecasting. - Xinxing Zhou; Jiaqi Ye; Shubao Zhao; Ming Jin 005; Zhaoxiang Hou; Chengyi Yang; Zengxiang Li; Yanlong Wen; Xiaojie Yuan (CoRR, 2024)

Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts. - Xiaoming Shi 001; Shiyu Wang 001; Yuqi Nie; Dianqi Li; Zhou Ye 001; Qingsong Wen; Ming Jin 005 (CoRR, 2024)

EffiCANet: Efficient Time Series Forecasting with Convolutional Attention. - Xinxing Zhou; Jiaqi Ye; Shubao Zhao; Ming Jin 005; Chengyi Yang; Yanlong Wen; Xiaojie Yuan (CoRR, 2024)

Graph spatiotemporal process for multivariate time series anomaly detection with missing values. - Yu Zheng 013; Huan Yee Koh; Ming Jin 005; Lianhua Chi; Haishuai Wang; Khoa Tran Phan; Yi-Ping Phoebe Chen; Shirui Pan; Wei Xiang 001 (Inf. Fusion, 2024)

Rethinking self-supervised learning for time series forecasting: A temporal perspective. - Shubao Zhao; Xinxing Zhou; Ming Jin 005; Zhaoxiang Hou; Chengyi Yang; Zengxiang Li; Qingsong Wen; Yi Wang 022; Yanlong Wen; Xiaojie Yuan (Knowl. Based Syst., 2024)

Towards complex dynamic physics system simulation with graph neural ordinary equations. - Guangsi Shi; Daokun Zhang; Ming Jin 005; Shirui Pan; Philip S. Yu (Neural Networks, 2024)

Toward Graph Self-Supervised Learning With Contrastive Adjusted Zooming. - Yizhen Zheng; Ming Jin 005; Shirui Pan; Yuan-Fang Li; Hao Peng 001; Ming Li 065; Zhao Li 007 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Correlation-Aware Spatial-Temporal Graph Learning for Multivariate Time-Series Anomaly Detection. - Yu Zheng 013; Huan Yee Koh; Ming Jin 005; Lianhua Chi; Khoa Tran Phan; Shirui Pan; Yi-Ping Phoebe Chen; Wei Xiang 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress, and Prospects. - Kexin Zhang 007; Qingsong Wen; Chaoli Zhang 001; Rongyao Cai; Ming Jin 005; Yong Liu 007; James Y. Zhang; Yuxuan Liang; Guansong Pang; Dongjin Song; Shirui Pan (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection. - Ming Jin 005; Huan Yee Koh; Qingsong Wen; Daniele Zambon; Cesare Alippi; Geoffrey I. Webb; Irwin King; Shirui Pan (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Time-MQA: Time Series Multi-Task Question Answering with Context Enhancement. - Yaxuan Kong; Yiyuan Yang; Yoontae Hwang; Wenjie Du; Stefan Zohren; Zhangyang Wang; Ming Jin 005; Qingsong Wen (ACL (1), 2025)

TimeMixer++: A General Time Series Pattern Machine for Universal Predictive Analysis. - Shiyu Wang 001; Jiawei Li 017; Xiaoming Shi 001; Zhou Ye 001; Baichuan Mo; Wenze Lin; Shengtong Ju; Zhixuan Chu; Ming Jin 005 (ICLR, 2025)

Towards Neural Scaling Laws for Time Series Foundation Models. - Qingren Yao; Chao-Han Huck Yang; Renhe Jiang; Yuxuan Liang; Ming Jin 005; Shirui Pan (ICLR, 2025)

Time Series Analysis in the Web: Recent Advances and Future Trends. - Ming Jin 005; Wei Jin 009; Hao Xue 001; Flora Salim; Yuxuan Liang (WWW (Companion Volume), 2025)

The Workshop of Artificial Intelligence for Web-Centric Time Series Analysis (AI4TS): Theory, Algorithms, and Applications. - Ming Jin 005; Mahsa Salehi; Yuxuan Liang; Dongjin Song; Flora Salim; Min Wu 008; Shirui Pan; Qingsong Wen (WWW (Companion Volume), 2025)

The International Workshop on Spatio-Temporal Data Mining from the Web. - Yuxuan Liang; Hao Xue 001; Ming Jin 005; Flora Salim; Qingsong Wen; Yong Li 008; Roger Zimmermann; Yu Zheng 004 (WWW (Companion Volume), 2025)

Transforming Urban Dynamics: Harnessing Large Language Models for Smarter Mobility. - Hao Xue 001; Ming Jin 005; Shirui Pan; Flora Salim (IEEE Intell. Syst., 2025)

Position: Empowering Time Series Reasoning with Multimodal LLMs. - Yaxuan Kong; Yiyuan Yang; Shiyu Wang 001; Chenghao Liu; Yuxuan Liang; Ming Jin 005; Stefan Zohren; Dan Pei; Yan Liu 069; Qingsong Wen (CoRR, 2025)

Time-VLM: Exploring Multimodal Vision-Language Models for Augmented Time Series Forecasting. - Siru Zhong; Weilin Ruan; Ming Jin 005; Huan Li; Qingsong Wen; Yuxuan Liang (CoRR, 2025)

TimeDistill: Efficient Long-Term Time Series Forecasting with MLP via Cross-Architecture Distillation. - Juntong Ni; Zewen Liu 005; Shiyu Wang 001; Ming Jin 005; Wei Jin 009 (CoRR, 2025)

Foundation Models for Spatio-Temporal Data Science: A Tutorial and Survey. - Yuxuan Liang; Haomin Wen; Yutong Xia; Ming Jin 005; Bin Yang 002; Flora Salim; Qingsong Wen; Shirui Pan; Gao Cong (CoRR, 2025)

T2S: High-resolution Time Series Generation with Text-to-Series Diffusion Models. - Yunfeng Ge; Jiawei Li 017; Yiji Zhao; Haomin Wen; Zhao Li 007; Meikang Qiu; Hongyan Li; Ming Jin 005; Shirui Pan (CoRR, 2025)

Multi-Scale Finetuning for Encoder-based Time Series Foundation Models. - Zhongzheng Qiao; Chenghao Liu; Yiming Zhang; Ming Jin 005; Quang Pham; Qingsong Wen; Ponnuthurai N. Suganthan; Xudong Jiang 001; Savitha Ramasamy (CoRR, 2025)

Continuous Evolution Pool: Taming Recurring Concept Drift in Online Time Series Forecasting. - Tianxiang Zhan; Ming Jin 005; Yuanpeng He; Yuxuan Liang; Yong Deng 001; Shirui Pan (CoRR, 2025)

Towards Expressive Spectral-Temporal Graph Neural Networks for Time Series Forecasting. - Ming Jin 005; Guangsi Shi; Yuan-Fang Li; Bo Xiong; Tian Zhou 004; Flora D. Salim; Liang Zhao 002; Lingfei Wu 001; Qingsong Wen; Shirui Pan (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

From Entanglement to Alignment: Representation Space Decomposition for Unsupervised Time Series Domain Adaptation. - Rongyao Cai; Ming Jin 005; Qingsong Wen; Kexin Zhang 007 (CoRR, 2025)

EventTSF: Event-Aware Non-Stationary Time Series Forecasting. - Yunfeng Ge; Ming Jin 005; Yiji Zhao; Hongyan Li; Bo Du 001; Chang Xu 002; Shirui Pan (CoRR, 2025)